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ragflow/uv.lock

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version = 1
revision = 3
feat(agent): Go port — canvas engine, 22 components, DSL v2, 13 endpoints (#15952) Ports the agent canvas subsystem from Python to Go. ## What's included ### Canvas Engine (Phase 0/1) - State engine, scheduler, variable resolver, Redis checkpoint store, cancel protocol - **209 tests** across canvas / component / io packages ### 22 Components (P0–P4) | Tier | Components | |---|---| | P0 T1+T2+T3 | LLM, Agent, ExitLoop, Switch, Categorize, Begin, Message, Invoke | | P1 T3 | VariableAggregator, VariableAssigner, StringTransform, ListOperations, DataOperations | | P2 T3 | Iteration, IterationItem, Loop, LoopItem | | P3 T3 | UserFillUp, Fillup | | P4 T5 | Browser, ExcelProcessor, DocsGenerator | ### DSL v2 Schema (Phase 2.5) - Typed v2 in-memory model with v1-to-v2 auto-detect converter - v1 legacy field stripping per plan §2.11.7 ### HTTP Endpoints & Bug Fixes (Plans PR1–PR3) - **DELETE SQL bug fix**: gorm v2 `Where("id = ?", id).Delete(...)` pattern - **CreateAgent validation**: title/DSL required, duplicate check, 103 envelope - **13 new endpoints**: templates, prompts, tags, sessions CRUD, chat/completions (SSE + non-stream stubs), rerun, test_db_connection, logs, webhook/logs - **756 Go unit tests** (745 → 756, +18) - **17 → 0 Python integration test failures** (test_agents.py + test_session_management/) ### Tools 21 eino tools: HTTPHelper, search tools, financial/data tools, mandatory stubs ### Infrastructure OTel observability, NATS message queue, DeepDoc gRPC client, SSRF guards, IDOR mitigation
2026-06-12 22:58:28 +08:00
requires-python = "==3.13.*"
resolution-markers = [
feat(agent): Go port — canvas engine, 22 components, DSL v2, 13 endpoints (#15952) Ports the agent canvas subsystem from Python to Go. ## What's included ### Canvas Engine (Phase 0/1) - State engine, scheduler, variable resolver, Redis checkpoint store, cancel protocol - **209 tests** across canvas / component / io packages ### 22 Components (P0–P4) | Tier | Components | |---|---| | P0 T1+T2+T3 | LLM, Agent, ExitLoop, Switch, Categorize, Begin, Message, Invoke | | P1 T3 | VariableAggregator, VariableAssigner, StringTransform, ListOperations, DataOperations | | P2 T3 | Iteration, IterationItem, Loop, LoopItem | | P3 T3 | UserFillUp, Fillup | | P4 T5 | Browser, ExcelProcessor, DocsGenerator | ### DSL v2 Schema (Phase 2.5) - Typed v2 in-memory model with v1-to-v2 auto-detect converter - v1 legacy field stripping per plan §2.11.7 ### HTTP Endpoints & Bug Fixes (Plans PR1–PR3) - **DELETE SQL bug fix**: gorm v2 `Where("id = ?", id).Delete(...)` pattern - **CreateAgent validation**: title/DSL required, duplicate check, 103 envelope - **13 new endpoints**: templates, prompts, tags, sessions CRUD, chat/completions (SSE + non-stream stubs), rerun, test_db_connection, logs, webhook/logs - **756 Go unit tests** (745 → 756, +18) - **17 → 0 Python integration test failures** (test_agents.py + test_session_management/) ### Tools 21 eino tools: HTTPHelper, search tools, financial/data tools, mandatory stubs ### Infrastructure OTel observability, NATS message queue, DeepDoc gRPC client, SSRF guards, IDOR mitigation
2026-06-12 22:58:28 +08:00
"sys_platform == 'darwin'",
"platform_machine == 'aarch64' and sys_platform == 'linux'",
"(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')",
]
[manifest]
feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
constraints = [
{ name = "pyasn1", specifier = ">=0.6.3" },
{ name = "trio", specifier = ">=0.26.0", index = "https://pypi.org/simple" },
]
feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
overrides = [{ name = "attrs", specifier = ">=23.2.0" }]
excludes = [
"agentrun-mem0ai",
"unclecode-litellm",
]
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
[[package]]
name = "aenum"
version = "3.1.17"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/48/8d/1fe30c6fd8999b9d462547c4a1bb6690bda24af38f2913c4bec7decb81f2/aenum-3.1.17-py3-none-any.whl", hash = "sha256:8b883a37a04e74cc838ac442bdd28c266eae5bbf13e1342c7ef123ed25230139" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
]
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "agentrun-sdk"
version = "0.0.51"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "alibabacloud-agentrun20250910" },
{ name = "alibabacloud-bailian20231229" },
{ name = "alibabacloud-devs20230714" },
{ name = "alibabacloud-gpdb20160503" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
{ name = "alibabacloud-tea-openapi" },
{ name = "crcmod" },
{ name = "httpx" },
{ name = "litellm" },
{ name = "pydantic" },
{ name = "pydash" },
{ name = "python-dotenv" },
{ name = "tablestore-agent-storage" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
{ name = "typing-extensions" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/55/56/7caca0780cee6098c39f2739ed9867746afb01e22d5a8bf22d353d8920b2/agentrun_sdk-0.0.51.tar.gz", hash = "sha256:48ec49fd925bb204d1565488f832fc0a53cd8304938274f0ab528d5a57cdb1d6" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
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name = "aiofiles"
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-agentrun20250910"
version = "5.7.4"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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{ name = "alibabacloud-tea-openapi" },
{ name = "darabonba-core" },
]
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
wheels = [
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "alibabacloud-bailian20231229"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
version = "2.8.1"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "alibabacloud-tea-openapi" },
{ name = "darabonba-core" },
]
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/50/c6/97c771aa4305844c20549c61f79dc48ed418838fed77608240475f4d53cb/alibabacloud_bailian20231229-2.8.1-py3-none-any.whl", hash = "sha256:403678010e65412ee5f0f80c2a831bb50d5e4178f9e616c21fc2793232f25913" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "alibabacloud-credentials"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
version = "1.0.7"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "aiofiles" },
{ name = "alibabacloud-credentials-api" },
{ name = "alibabacloud-tea" },
{ name = "apscheduler" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/3c/2b/596a8b2cb6d08a75a6c85a98996d2a6f3a43a40aea5f892728bfce025b54/alibabacloud_credentials-1.0.7.tar.gz", hash = "sha256:80428280b4bcf95461d41d1490a22360b8b67d1829bf1eb38f74fabcc693f1b3" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/25/86/f8dbcc689d6f4ba0e1e709a9b401b633052138daf20f7ce661c073a45823/alibabacloud_credentials-1.0.7-py3-none-any.whl", hash = "sha256:465c779cfa284e8900c08880d764197289b1edd4c72c0087c3effe6bb2b4dea3" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "alibabacloud-credentials-api"
version = "1.0.0"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/a0/87/1d7019d23891897cb076b2f7e3c81ab3c2ba91de3bb067196f675d60d34c/alibabacloud-credentials-api-1.0.0.tar.gz", hash = "sha256:8c340038d904f0218d7214a8f4088c31912bfcf279af2cbc7d9be4897a97dd2f" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-devs20230714"
version = "2.4.1"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "alibabacloud-endpoint-util" },
{ name = "alibabacloud-openapi-util" },
{ name = "alibabacloud-tea-openapi" },
{ name = "alibabacloud-tea-util" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/a0/b4/a6425a5d54dbdd83206b9c0418e9fded4764a1125bbefbe9ff9511ed2a72/alibabacloud_devs20230714-2.4.1.tar.gz", hash = "sha256:461e7614dc382b49d576ac8713d949beb48b1979cea002922bdb284883360f20" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/1b/c6/7d375cc1b1cab0f46950f556b70a2b17235747429a0889b73f3d46ff6023/alibabacloud_devs20230714-2.4.1-py3-none-any.whl", hash = "sha256:dbd260718e6db50021d804218b40bc99ee9c7e40b1def382aef8e542f5921113" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "alibabacloud-dingtalk"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
version = "2.2.48"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "alibabacloud-endpoint-util" },
{ name = "alibabacloud-gateway-dingtalk" },
{ name = "alibabacloud-gateway-spi" },
{ name = "alibabacloud-openapi-util" },
{ name = "alibabacloud-tea-openapi" },
{ name = "alibabacloud-tea-util" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/77/bd/99b3a8ec49de74d845943d8525eb55b7262b749a87025177d4fe1cad0e1f/alibabacloud_dingtalk-2.2.48.tar.gz", hash = "sha256:99cfc1b4d320750f8c2eb8fdea4b58e2737155de2ffee9313279cd0e28108722" }
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/1a/28/1939243ec148dc59172c2badd3c7a9f55fb7652bd8b22add349ca07dffa8/alibabacloud_dingtalk-2.2.48-py3-none-any.whl", hash = "sha256:8b953320b919a08463d645d24d02698a292df0f44b88d7d6ae26db528d73c882" },
]
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-endpoint-util"
version = "0.0.4"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/92/7d/8cc92a95c920e344835b005af6ea45a0db98763ad6ad19299d26892e6c8d/alibabacloud_endpoint_util-0.0.4.tar.gz", hash = "sha256:a593eb8ddd8168d5dc2216cd33111b144f9189fcd6e9ca20e48f358a739bbf90" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-gateway-dingtalk"
version = "1.0.2"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "alibabacloud-gateway-spi" },
{ name = "alibabacloud-tea-util" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/d2/40/751d8bdf133d7fcf053f10c98e8e506810e7bee06458a02eaaa14d30ac26/alibabacloud_gateway_dingtalk-1.0.2.tar.gz", hash = "sha256:acea8b0b1d11e0394913f0b0899ddd19c0bfceab716060449b57fcc250ceb300" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-gateway-spi"
version = "0.0.3"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "alibabacloud-credentials" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/ab/98/d7111245f17935bf72ee9bea60bbbeff2bc42cdfe24d2544db52bc517e1a/alibabacloud_gateway_spi-0.0.3.tar.gz", hash = "sha256:10d1c53a3fc5f87915fbd6b4985b98338a776e9b44a0263f56643c5048223b8b" }
[[package]]
name = "alibabacloud-gpdb20160503"
version = "5.5.0"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "alibabacloud-credentials" },
{ name = "alibabacloud-tea-openapi" },
{ name = "darabonba-core" },
]
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wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/d8/5c/771957c85dbb1949ff48d4ba425aa51441260a175fa485c0695230b1ae4a/alibabacloud_gpdb20160503-5.5.0-py3-none-any.whl", hash = "sha256:0e1995d0fa32d71f201e899fa73c5e250382826c70676283209ca6ea0f0017c2" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-openapi-util"
version = "0.2.4"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "alibabacloud-tea-util" },
{ name = "cryptography" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/f6/51/be5802851a4ed20ac2c6db50ac8354a6e431e93db6e714ca39b50983626f/alibabacloud_openapi_util-0.2.4.tar.gz", hash = "sha256:87022b9dcb7593a601f7a40ca698227ac3ccb776b58cb7b06b8dc7f510995c34" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
wheels = [
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "alibabacloud-tea"
version = "0.4.3"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "aiohttp" },
{ name = "requests" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9a/7d/b22cb9a0d4f396ee0f3f9d7f26b76b9ed93d4101add7867a2c87ed2534f5/alibabacloud-tea-0.4.3.tar.gz", hash = "sha256:ec8053d0aa8d43ebe1deb632d5c5404339b39ec9a18a0707d57765838418504a" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "alibabacloud-tea-openapi"
version = "0.4.4"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "alibabacloud-credentials" },
{ name = "alibabacloud-gateway-spi" },
{ name = "alibabacloud-tea-util" },
{ name = "cryptography" },
{ name = "darabonba-core" },
]
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/30/93/138bcdc8fc596add73e37cf2073798f285284d1240bda9ee02f9384fc6be/alibabacloud_tea_openapi-0.4.4.tar.gz", hash = "sha256:1b0917bc03cd49417da64945e92731716d53e2eb8707b235f54e45b7473221ce" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/f5/5a/6bfc4506438c1809c486f66217ad11eab78157192b3d5707b4e2f4212f6c/alibabacloud_tea_openapi-0.4.4-py3-none-any.whl", hash = "sha256:cea6bc1fe35b0319a8752cb99eb0ecb0dab7ca1a71b99c12970ba0867410995f" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "alibabacloud-tea-util"
version = "0.3.14"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
name = "apscheduler"
version = "3.11.2"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
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feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "darabonba-core"
version = "1.0.5"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
dependencies = [
{ name = "aiohttp" },
{ name = "alibabacloud-tea" },
{ name = "requests" },
]
wheels = [
{ url = "https://mirrors.aliyun.com/pypi/packages/66/d3/a7daaee544c904548e665829b51a9fa2572acb82c73ad787a8ff90273002/darabonba_core-1.0.5-py3-none-any.whl", hash = "sha256:671ab8dbc4edc2a8f88013da71646839bb8914f1259efc069353243ef52ea27c" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "dashscope"
version = "1.25.11"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "aiohttp" },
{ name = "certifi" },
{ name = "cryptography" },
{ name = "requests" },
{ name = "websocket-client" },
]
wheels = [
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]
[[package]]
name = "datrie"
version = "0.8.3"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/51/0b/c0f53a14317b304e2e93b29a831b0c83306caae9af7f0e2e037d17c4f63f/datrie-0.8.3.tar.gz", hash = "sha256:ea021ad4c8a8bf14e08a71c7872a622aa399a510f981296825091c7ca0436e80" }
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
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Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "langfuse"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: add admin CLI and admin service (#10186) ### What problem does this PR solve? Introduce new feature: RAGFlow system admin service and CLI ### Introduction Admin Service is a dedicated management component designed to monitor, maintain, and administrate the RAGFlow system. It provides comprehensive tools for ensuring system stability, performing operational tasks, and managing users and permissions efficiently. The service offers monitoring of critical components, including the RAGFlow server, Task Executor processes, and dependent services such as MySQL, Infinity / Elasticsearch, Redis, and MinIO. It automatically checks their health status, resource usage, and uptime, and performs restarts in case of failures to minimize downtime. For user and system management, it supports listing, creating, modifying, and deleting users and their associated resources like knowledge bases and Agents. Built with scalability and reliability in mind, the Admin Service ensures smooth system operation and simplifies maintenance workflows. It consists of a server-side Service and a command-line client (CLI), both implemented in Python. User commands are parsed using the Lark parsing toolkit. - **Admin Service**: A backend service that interfaces with the RAGFlow system to execute administrative operations and monitor its status. - **Admin CLI**: A command-line interface that allows users to connect to the Admin Service and issue commands for system management. ### Starting the Admin Service 1. Before start Admin Service, please make sure RAGFlow system is already started. 2. Run the service script: ```bash python admin/admin_server.py ``` The service will start and listen for incoming connections from the CLI on the configured port. ### Using the Admin CLI 1. Ensure the Admin Service is running. 2. Launch the CLI client: ```bash python admin/admin_client.py -h 0.0.0.0 -p 9381 ## Supported Commands Commands are case-insensitive and must be terminated with a semicolon (`;`). ### Service Management Commands - [x] `LIST SERVICES;` - Lists all available services within the RAGFlow system. - [ ] `SHOW SERVICE <id>;` - Shows detailed status information for the service identified by `<id>`. - [ ] `STARTUP SERVICE <id>;` - Attempts to start the service identified by `<id>`. - [ ] `SHUTDOWN SERVICE <id>;` - Attempts to gracefully shut down the service identified by `<id>`. - [ ] `RESTART SERVICE <id>;` - Attempts to restart the service identified by `<id>`. ### User Management Commands - [x] `LIST USERS;` - Lists all users known to the system. - [ ] `SHOW USER '<username>';` - Shows details and permissions for the specified user. The username must be enclosed in single or double quotes. - [ ] `DROP USER '<username>';` - Removes the specified user from the system. Use with caution. - [ ] `ALTER USER PASSWORD '<username>' '<new_password>';` - Changes the password for the specified user. ### Data and Agent Commands - [ ] `LIST DATASETS OF '<username>';` - Lists the datasets associated with the specified user. - [ ] `LIST AGENTS OF '<username>';` - Lists the agents associated with the specified user. ### Meta-Commands Meta-commands are prefixed with a backslash (`\`). - `\?` or `\help` - Shows help information for the available commands. - `\q` or `\quit` - Exits the CLI application. ## Examples ```commandline admin> list users; +-------------------------------+------------------------+-----------+-------------+ | create_date | email | is_active | nickname | +-------------------------------+------------------------+-----------+-------------+ | Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1 | Jeffery | | Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org | 1 | Waterdancer | +-------------------------------+------------------------+-----------+-------------+ admin> list services; +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ | extra | host | id | name | port | service_type | +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ | {} | 0.0.0.0 | 0 | ragflow_0 | 9380 | ragflow_server | | {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'} | localhost | 1 | mysql | 5455 | meta_data | | {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'} | localhost | 2 | minio | 9000 | file_store | | {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3 | elasticsearch | 1200 | retrieval | | {'db_name': 'default_db', 'retrieval_type': 'infinity'} | localhost | 4 | infinity | 23817 | retrieval | | {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'} | localhost | 5 | redis | 6379 | message_queue | +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-22 10:37:49 +08:00
[[package]]
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Feat: add admin CLI and admin service (#10186) ### What problem does this PR solve? Introduce new feature: RAGFlow system admin service and CLI ### Introduction Admin Service is a dedicated management component designed to monitor, maintain, and administrate the RAGFlow system. It provides comprehensive tools for ensuring system stability, performing operational tasks, and managing users and permissions efficiently. The service offers monitoring of critical components, including the RAGFlow server, Task Executor processes, and dependent services such as MySQL, Infinity / Elasticsearch, Redis, and MinIO. It automatically checks their health status, resource usage, and uptime, and performs restarts in case of failures to minimize downtime. For user and system management, it supports listing, creating, modifying, and deleting users and their associated resources like knowledge bases and Agents. Built with scalability and reliability in mind, the Admin Service ensures smooth system operation and simplifies maintenance workflows. It consists of a server-side Service and a command-line client (CLI), both implemented in Python. User commands are parsed using the Lark parsing toolkit. - **Admin Service**: A backend service that interfaces with the RAGFlow system to execute administrative operations and monitor its status. - **Admin CLI**: A command-line interface that allows users to connect to the Admin Service and issue commands for system management. ### Starting the Admin Service 1. Before start Admin Service, please make sure RAGFlow system is already started. 2. Run the service script: ```bash python admin/admin_server.py ``` The service will start and listen for incoming connections from the CLI on the configured port. ### Using the Admin CLI 1. Ensure the Admin Service is running. 2. Launch the CLI client: ```bash python admin/admin_client.py -h 0.0.0.0 -p 9381 ## Supported Commands Commands are case-insensitive and must be terminated with a semicolon (`;`). ### Service Management Commands - [x] `LIST SERVICES;` - Lists all available services within the RAGFlow system. - [ ] `SHOW SERVICE <id>;` - Shows detailed status information for the service identified by `<id>`. - [ ] `STARTUP SERVICE <id>;` - Attempts to start the service identified by `<id>`. - [ ] `SHUTDOWN SERVICE <id>;` - Attempts to gracefully shut down the service identified by `<id>`. - [ ] `RESTART SERVICE <id>;` - Attempts to restart the service identified by `<id>`. ### User Management Commands - [x] `LIST USERS;` - Lists all users known to the system. - [ ] `SHOW USER '<username>';` - Shows details and permissions for the specified user. The username must be enclosed in single or double quotes. - [ ] `DROP USER '<username>';` - Removes the specified user from the system. Use with caution. - [ ] `ALTER USER PASSWORD '<username>' '<new_password>';` - Changes the password for the specified user. ### Data and Agent Commands - [ ] `LIST DATASETS OF '<username>';` - Lists the datasets associated with the specified user. - [ ] `LIST AGENTS OF '<username>';` - Lists the agents associated with the specified user. ### Meta-Commands Meta-commands are prefixed with a backslash (`\`). - `\?` or `\help` - Shows help information for the available commands. - `\q` or `\quit` - Exits the CLI application. ## Examples ```commandline admin> list users; +-------------------------------+------------------------+-----------+-------------+ | create_date | email | is_active | nickname | +-------------------------------+------------------------+-----------+-------------+ | Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1 | Jeffery | | Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org | 1 | Waterdancer | +-------------------------------+------------------------+-----------+-------------+ admin> list services; +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ | extra | host | id | name | port | service_type | +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ | {} | 0.0.0.0 | 0 | ragflow_0 | 9380 | ragflow_server | | {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'} | localhost | 1 | mysql | 5455 | meta_data | | {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'} | localhost | 2 | minio | 9000 | file_store | | {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3 | elasticsearch | 1200 | retrieval | | {'db_name': 'default_db', 'retrieval_type': 'infinity'} | localhost | 4 | infinity | 23817 | retrieval | | {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'} | localhost | 5 | redis | 6379 | message_queue | +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-22 10:37:49 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: add admin CLI and admin service (#10186) ### What problem does this PR solve? Introduce new feature: RAGFlow system admin service and CLI ### Introduction Admin Service is a dedicated management component designed to monitor, maintain, and administrate the RAGFlow system. It provides comprehensive tools for ensuring system stability, performing operational tasks, and managing users and permissions efficiently. The service offers monitoring of critical components, including the RAGFlow server, Task Executor processes, and dependent services such as MySQL, Infinity / Elasticsearch, Redis, and MinIO. It automatically checks their health status, resource usage, and uptime, and performs restarts in case of failures to minimize downtime. For user and system management, it supports listing, creating, modifying, and deleting users and their associated resources like knowledge bases and Agents. Built with scalability and reliability in mind, the Admin Service ensures smooth system operation and simplifies maintenance workflows. It consists of a server-side Service and a command-line client (CLI), both implemented in Python. User commands are parsed using the Lark parsing toolkit. - **Admin Service**: A backend service that interfaces with the RAGFlow system to execute administrative operations and monitor its status. - **Admin CLI**: A command-line interface that allows users to connect to the Admin Service and issue commands for system management. ### Starting the Admin Service 1. Before start Admin Service, please make sure RAGFlow system is already started. 2. Run the service script: ```bash python admin/admin_server.py ``` The service will start and listen for incoming connections from the CLI on the configured port. ### Using the Admin CLI 1. Ensure the Admin Service is running. 2. Launch the CLI client: ```bash python admin/admin_client.py -h 0.0.0.0 -p 9381 ## Supported Commands Commands are case-insensitive and must be terminated with a semicolon (`;`). ### Service Management Commands - [x] `LIST SERVICES;` - Lists all available services within the RAGFlow system. - [ ] `SHOW SERVICE <id>;` - Shows detailed status information for the service identified by `<id>`. - [ ] `STARTUP SERVICE <id>;` - Attempts to start the service identified by `<id>`. - [ ] `SHUTDOWN SERVICE <id>;` - Attempts to gracefully shut down the service identified by `<id>`. - [ ] `RESTART SERVICE <id>;` - Attempts to restart the service identified by `<id>`. ### User Management Commands - [x] `LIST USERS;` - Lists all users known to the system. - [ ] `SHOW USER '<username>';` - Shows details and permissions for the specified user. The username must be enclosed in single or double quotes. - [ ] `DROP USER '<username>';` - Removes the specified user from the system. Use with caution. - [ ] `ALTER USER PASSWORD '<username>' '<new_password>';` - Changes the password for the specified user. ### Data and Agent Commands - [ ] `LIST DATASETS OF '<username>';` - Lists the datasets associated with the specified user. - [ ] `LIST AGENTS OF '<username>';` - Lists the agents associated with the specified user. ### Meta-Commands Meta-commands are prefixed with a backslash (`\`). - `\?` or `\help` - Shows help information for the available commands. - `\q` or `\quit` - Exits the CLI application. ## Examples ```commandline admin> list users; +-------------------------------+------------------------+-----------+-------------+ | create_date | email | is_active | nickname | +-------------------------------+------------------------+-----------+-------------+ | Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1 | Jeffery | | Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org | 1 | Waterdancer | +-------------------------------+------------------------+-----------+-------------+ admin> list services; +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ | extra | host | id | name | port | service_type | +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ | {} | 0.0.0.0 | 0 | ragflow_0 | 9380 | ragflow_server | | {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'} | localhost | 1 | mysql | 5455 | meta_data | | {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'} | localhost | 2 | minio | 9000 | file_store | | {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3 | elasticsearch | 1200 | retrieval | | {'db_name': 'default_db', 'retrieval_type': 'infinity'} | localhost | 4 | infinity | 23817 | retrieval | | {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'} | localhost | 5 | redis | 6379 | message_queue | +-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-22 10:37:49 +08:00
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name = "litellm"
feat(agent): Go port — canvas engine, 22 components, DSL v2, 13 endpoints (#15952) Ports the agent canvas subsystem from Python to Go. ## What's included ### Canvas Engine (Phase 0/1) - State engine, scheduler, variable resolver, Redis checkpoint store, cancel protocol - **209 tests** across canvas / component / io packages ### 22 Components (P0–P4) | Tier | Components | |---|---| | P0 T1+T2+T3 | LLM, Agent, ExitLoop, Switch, Categorize, Begin, Message, Invoke | | P1 T3 | VariableAggregator, VariableAssigner, StringTransform, ListOperations, DataOperations | | P2 T3 | Iteration, IterationItem, Loop, LoopItem | | P3 T3 | UserFillUp, Fillup | | P4 T5 | Browser, ExcelProcessor, DocsGenerator | ### DSL v2 Schema (Phase 2.5) - Typed v2 in-memory model with v1-to-v2 auto-detect converter - v1 legacy field stripping per plan §2.11.7 ### HTTP Endpoints & Bug Fixes (Plans PR1–PR3) - **DELETE SQL bug fix**: gorm v2 `Where("id = ?", id).Delete(...)` pattern - **CreateAgent validation**: title/DSL required, duplicate check, 103 envelope - **13 new endpoints**: templates, prompts, tags, sessions CRUD, chat/completions (SSE + non-stream stubs), rerun, test_db_connection, logs, webhook/logs - **756 Go unit tests** (745 → 756, +18) - **17 → 0 Python integration test failures** (test_agents.py + test_session_management/) ### Tools 21 eino tools: HTTPHelper, search tools, financial/data tools, mandatory stubs ### Infrastructure OTel observability, NATS message queue, DeepDoc gRPC client, SSRF guards, IDOR mitigation
2026-06-12 22:58:28 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "opentelemetry-exporter-otlp-proto-common"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "opentelemetry-exporter-otlp-proto-http"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: Support tool calling in Generate component (#7572) ### What problem does this PR solve? Hello, our use case requires LLM agent to invoke some tools, so I made a simple implementation here. This PR does two things: 1. A simple plugin mechanism based on `pluginlib`: This mechanism lives in the `plugin` directory. It will only load plugins from `plugin/embedded_plugins` for now. A sample plugin `bad_calculator.py` is placed in `plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`, then give a wrong result `a + b + 100`. In the future, it can load plugins from external location with little code change. Plugins are divided into different types. The only plugin type supported in this PR is `llm_tools`, which must implement the `LLMToolPlugin` class in the `plugin/llm_tool_plugin.py`. More plugin types can be added in the future. 2. A tool selector in the `Generate` component: Added a tool selector to select one or more tools for LLM: ![image](https://github.com/user-attachments/assets/74a21fdf-9333-4175-991b-43df6524c5dc) And with the `bad_calculator` tool, it results this with the `qwen-max` model: ![image](https://github.com/user-attachments/assets/93aff9c4-8550-414a-90a2-1a15a5249d94) ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-05-16 16:32:19 +08:00
[[package]]
name = "pluginlib"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: Support tool calling in Generate component (#7572) ### What problem does this PR solve? Hello, our use case requires LLM agent to invoke some tools, so I made a simple implementation here. This PR does two things: 1. A simple plugin mechanism based on `pluginlib`: This mechanism lives in the `plugin` directory. It will only load plugins from `plugin/embedded_plugins` for now. A sample plugin `bad_calculator.py` is placed in `plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`, then give a wrong result `a + b + 100`. In the future, it can load plugins from external location with little code change. Plugins are divided into different types. The only plugin type supported in this PR is `llm_tools`, which must implement the `LLMToolPlugin` class in the `plugin/llm_tool_plugin.py`. More plugin types can be added in the future. 2. A tool selector in the `Generate` component: Added a tool selector to select one or more tools for LLM: ![image](https://github.com/user-attachments/assets/74a21fdf-9333-4175-991b-43df6524c5dc) And with the `bad_calculator` tool, it results this with the `qwen-max` model: ![image](https://github.com/user-attachments/assets/93aff9c4-8550-414a-90a2-1a15a5249d94) ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-05-16 16:32:19 +08:00
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Feat: Support tool calling in Generate component (#7572) ### What problem does this PR solve? Hello, our use case requires LLM agent to invoke some tools, so I made a simple implementation here. This PR does two things: 1. A simple plugin mechanism based on `pluginlib`: This mechanism lives in the `plugin` directory. It will only load plugins from `plugin/embedded_plugins` for now. A sample plugin `bad_calculator.py` is placed in `plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`, then give a wrong result `a + b + 100`. In the future, it can load plugins from external location with little code change. Plugins are divided into different types. The only plugin type supported in this PR is `llm_tools`, which must implement the `LLMToolPlugin` class in the `plugin/llm_tool_plugin.py`. More plugin types can be added in the future. 2. A tool selector in the `Generate` component: Added a tool selector to select one or more tools for LLM: ![image](https://github.com/user-attachments/assets/74a21fdf-9333-4175-991b-43df6524c5dc) And with the `bad_calculator` tool, it results this with the `qwen-max` model: ![image](https://github.com/user-attachments/assets/93aff9c4-8550-414a-90a2-1a15a5249d94) ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-05-16 16:32:19 +08:00
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Feat: Support tool calling in Generate component (#7572) ### What problem does this PR solve? Hello, our use case requires LLM agent to invoke some tools, so I made a simple implementation here. This PR does two things: 1. A simple plugin mechanism based on `pluginlib`: This mechanism lives in the `plugin` directory. It will only load plugins from `plugin/embedded_plugins` for now. A sample plugin `bad_calculator.py` is placed in `plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`, then give a wrong result `a + b + 100`. In the future, it can load plugins from external location with little code change. Plugins are divided into different types. The only plugin type supported in this PR is `llm_tools`, which must implement the `LLMToolPlugin` class in the `plugin/llm_tool_plugin.py`. More plugin types can be added in the future. 2. A tool selector in the `Generate` component: Added a tool selector to select one or more tools for LLM: ![image](https://github.com/user-attachments/assets/74a21fdf-9333-4175-991b-43df6524c5dc) And with the `bad_calculator` tool, it results this with the `qwen-max` model: ![image](https://github.com/user-attachments/assets/93aff9c4-8550-414a-90a2-1a15a5249d94) ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-05-16 16:32:19 +08:00
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Feat: Support tool calling in Generate component (#7572) ### What problem does this PR solve? Hello, our use case requires LLM agent to invoke some tools, so I made a simple implementation here. This PR does two things: 1. A simple plugin mechanism based on `pluginlib`: This mechanism lives in the `plugin` directory. It will only load plugins from `plugin/embedded_plugins` for now. A sample plugin `bad_calculator.py` is placed in `plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`, then give a wrong result `a + b + 100`. In the future, it can load plugins from external location with little code change. Plugins are divided into different types. The only plugin type supported in this PR is `llm_tools`, which must implement the `LLMToolPlugin` class in the `plugin/llm_tool_plugin.py`. More plugin types can be added in the future. 2. A tool selector in the `Generate` component: Added a tool selector to select one or more tools for LLM: ![image](https://github.com/user-attachments/assets/74a21fdf-9333-4175-991b-43df6524c5dc) And with the `bad_calculator` tool, it results this with the `qwen-max` model: ![image](https://github.com/user-attachments/assets/93aff9c4-8550-414a-90a2-1a15a5249d94) ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-05-16 16:32:19 +08:00
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[[package]]
name = "pooch"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "portalocker"
version = "2.10.1"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
[[package]]
name = "posthog"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
version = "7.7.0"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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{ name = "python-dateutil" },
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "proto-plus"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "protobuf"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "pyobjc-framework-accessibility"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-accounts"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Add fallback to use 'calamine' parse engine in excel_parser.py (#9374) ### What problem does this PR solve? add fallback to `calamine` engine when parse error raised using the default `openpyxl` / `xlrd` engine. e.g. the following error can be fixed: ``` Traceback (most recent call last): File "/ragflow/deepdoc/parser/excel_parser.py", line 53, in _load_excel_to_workbook df = pd.read_excel(file_like_object) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 495, in read_excel io = ExcelFile( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 1567, in __init__ self._reader = self._engines[engine]( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 46, in __init__ super().__init__( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 573, in __init__ self.book = self.load_workbook(self.handles.handle, engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 63, in load_workbook return open_workbook(file_contents=data, **engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/__init__.py", line 172, in open_workbook bk = open_workbook_xls( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 68, in open_workbook_xls bk.biff2_8_load( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 641, in biff2_8_load cd.locate_named_stream(UNICODE_LITERAL(qname)) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 398, in locate_named_stream result = self._locate_stream( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 429, in _locate_stream raise CompDocError("%s corruption: seen[%d] == %d" % (qname, s, self.seen[s])) xlrd.compdoc.CompDocError: Workbook corruption: seen[2] == 4 ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
2025-08-12 12:41:33 +08:00
[[package]]
name = "pyobjc-framework-avfoundation"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-avrouting"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-backgroundassets"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-browserenginekit"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-coreaudio"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "pyobjc-framework-coredata"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-dvdplayback"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "pyobjc-framework-mapkit"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-metrickit"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "pyobjc-framework-mlcompute"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Add fallback to use 'calamine' parse engine in excel_parser.py (#9374) ### What problem does this PR solve? add fallback to `calamine` engine when parse error raised using the default `openpyxl` / `xlrd` engine. e.g. the following error can be fixed: ``` Traceback (most recent call last): File "/ragflow/deepdoc/parser/excel_parser.py", line 53, in _load_excel_to_workbook df = pd.read_excel(file_like_object) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 495, in read_excel io = ExcelFile( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 1567, in __init__ self._reader = self._engines[engine]( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 46, in __init__ super().__init__( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 573, in __init__ self.book = self.load_workbook(self.handles.handle, engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 63, in load_workbook return open_workbook(file_contents=data, **engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/__init__.py", line 172, in open_workbook bk = open_workbook_xls( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 68, in open_workbook_xls bk.biff2_8_load( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 641, in biff2_8_load cd.locate_named_stream(UNICODE_LITERAL(qname)) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 398, in locate_named_stream result = self._locate_stream( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 429, in _locate_stream raise CompDocError("%s corruption: seen[%d] == %d" % (qname, s, self.seen[s])) xlrd.compdoc.CompDocError: Workbook corruption: seen[2] == 4 ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
2025-08-12 12:41:33 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "ragflow"
version = "0.26.2"
source = { virtual = "." }
dependencies = [
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
{ name = "agentrun-sdk" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
{ name = "aiohttp" },
{ name = "aiosmtplib" },
{ name = "akshare" },
{ name = "alibabacloud-dingtalk" },
{ name = "anthropic" },
{ name = "arxiv" },
{ name = "asana" },
{ name = "atlassian-python-api" },
feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
{ name = "audioop-lts" },
{ name = "azure-identity" },
{ name = "azure-storage-file-datalake" },
{ name = "beartype" },
{ name = "bio" },
Feat: add BedrockCV for vision/image2text inference via LiteLLM (#14705) ## Summary - `CvModel["Bedrock"]` was absent from `rag/llm/cv_model.py`, causing `model_instance()` to return `None` when a Bedrock model was used as a PDF parser — even after correct model resolution. - This PR adds `BedrockCV`, enabling Bedrock vision models (e.g. `amazon.nova-pro-v1:0`, `anthropic.claude-3-5-sonnet`) to be used as PDF parsers. ## What problem does this PR solve? When a Bedrock model is selected as the PDF parser in a knowledge base, ingestion failed with: ``` 'LiteLLMBase' object has no attribute 'describe_with_prompt' ``` The root cause: `LiteLLMBase` (the Bedrock chat implementation) was the only registered handler for the Bedrock factory. It does not implement `describe_with_prompt`. `CvModel` had no Bedrock entry, so `model_instance()` returned `None` for `image2text` requests. ## Type of change - [x] New Feature (non-breaking change which adds functionality) ## Changes **`rag/llm/cv_model.py`** Adds `BedrockCV(Base)` with `_FACTORY_NAME = "Bedrock"`: - Uses `litellm.completion` with the `bedrock/` prefix (consistent with `LiteLLMBase`) - Parses AWS credentials from the JSON key assembled by `add_llm` (`auth_mode`, `bedrock_ak`, `bedrock_sk`, `bedrock_region`, `aws_role_arn`) - Supports three auth modes: `access_key_secret`, `iam_role` (via STS `assume_role`), and default credential chain (IRSA, instance profile) - Implements `describe_with_prompt` and `describe` ## Test plan - [ ] Configure a Bedrock vision model (e.g. `amazon.nova-pro-v1:0`) with valid AWS credentials - [ ] Select it as PDF parser in a knowledge base - [ ] Verify ingestion of a PDF document completes without errors - [ ] Verify `CvModel["Bedrock"]` resolves to `BedrockCV` 🤖 Generated with [Claude Code](https://claude.ai/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-11 04:29:58 +02:00
{ name = "boto3" },
{ name = "boxsdk" },
{ name = "browser-use" },
{ name = "captcha" },
{ name = "chardet" },
{ name = "cn2an" },
{ name = "cohere" },
{ name = "crawl4ai" },
{ name = "dashscope" },
{ name = "debugpy" },
{ name = "deepl" },
{ name = "demjson3" },
{ name = "discord-py" },
{ name = "dropbox" },
{ name = "duckduckgo-search" },
{ name = "editdistance" },
{ name = "elasticsearch-dsl" },
{ name = "en-core-web-sm" },
{ name = "exceptiongroup" },
{ name = "extract-msg" },
{ name = "feedparser" },
{ name = "ffmpeg-python" },
{ name = "flasgger" },
{ name = "flask-cors" },
{ name = "flask-login" },
{ name = "flask-mail" },
{ name = "flask-session" },
{ name = "google-api-python-client" },
{ name = "google-auth-oauthlib" },
{ name = "google-cloud-bigquery" },
{ name = "google-cloud-storage" },
{ name = "google-genai" },
{ name = "google-search-results" },
{ name = "graspologic" },
{ name = "groq" },
Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
{ name = "grpcio-status" },
{ name = "html-text" },
{ name = "infinity-emb" },
{ name = "infinity-sdk" },
{ name = "jira" },
{ name = "json-repair" },
{ name = "langfuse" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
{ name = "lark-oapi" },
{ name = "line-bot-sdk" },
{ name = "litellm" },
{ name = "mammoth" },
{ name = "markdown" },
{ name = "markdown-to-json" },
{ name = "markdownify" },
{ name = "mcp" },
{ name = "mini-racer" },
{ name = "minio" },
{ name = "mistralai" },
{ name = "moodlepy" },
{ name = "mypy-boto3-s3" },
feat/add MySQL and PostgreSQL data source connectors (#12817) ### What problem does this PR solve? This PR adds MySQL and PostgreSQL as data source connectors, allowing users to import data directly from relational databases into RAGFlow for RAG workflows. Many users store their knowledge in databases (product catalogs, documentation, FAQs, etc.) and currently have no way to sync this data into RAGFlow without exporting to files first. This feature lets them connect directly to their databases, run SQL queries, and automatically create documents from the results. Closes #763 Closes #11560 ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): ### What this PR does **New capabilities:** - Connect to MySQL and PostgreSQL databases - Run custom SQL queries to extract data - Map database columns to document content (vectorized) and metadata (searchable) - Support incremental sync using a timestamp column - Full frontend UI with connection form and tooltips **Files changed:** Backend: - `common/constants.py` - Added MYSQL/POSTGRESQL to FileSource enum - `common/data_source/config.py` - Added to DocumentSource enum - `common/data_source/rdbms_connector.py` - New connector (368 lines) - `common/data_source/__init__.py` - Exported the connector - `rag/svr/sync_data_source.py` - Added MySQL and PostgreSQL sync classes - `pyproject.toml` - Added mysql-connector-python dependency Frontend: - `web/src/pages/user-setting/data-source/constant/index.tsx` - Form fields - `web/src/locales/en.ts` - English translations - `web/src/assets/svg/data-source/mysql.svg` - MySQL icon - `web/src/assets/svg/data-source/postgresql.svg` - PostgreSQL icon ### Testing done Tested with MySQL 8.0 and PostgreSQL 16: - Connection validation works correctly - Full sync imports all query results as documents - Incremental sync only fetches rows updated since last sync - Custom SQL queries filter data as expected - Invalid credentials show clear error messages - Lint checks pass (`ruff check` returns no errors) --------- Co-authored-by: mkdev11 <YOUR_GITHUB_ID+MkDev11@users.noreply.github.com>
2026-02-03 23:14:32 -03:00
{ name = "mysql-connector-python" },
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
{ name = "nest-asyncio" },
{ name = "office365-rest-python-client" },
{ name = "ollama" },
{ name = "onnxruntime", marker = "platform_machine != 'x86_64' or sys_platform == 'darwin'" },
{ name = "onnxruntime-gpu", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" },
{ name = "opencv-python" },
{ name = "opencv-python-headless" },
{ name = "opendal" },
Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
{ name = "opensearch-py" },
{ name = "ormsgpack" },
{ name = "paramiko" },
{ name = "pdfplumber" },
{ name = "peewee" },
Feat: Support tool calling in Generate component (#7572) ### What problem does this PR solve? Hello, our use case requires LLM agent to invoke some tools, so I made a simple implementation here. This PR does two things: 1. A simple plugin mechanism based on `pluginlib`: This mechanism lives in the `plugin` directory. It will only load plugins from `plugin/embedded_plugins` for now. A sample plugin `bad_calculator.py` is placed in `plugin/embedded_plugins/llm_tools`, it accepts two numbers `a` and `b`, then give a wrong result `a + b + 100`. In the future, it can load plugins from external location with little code change. Plugins are divided into different types. The only plugin type supported in this PR is `llm_tools`, which must implement the `LLMToolPlugin` class in the `plugin/llm_tool_plugin.py`. More plugin types can be added in the future. 2. A tool selector in the `Generate` component: Added a tool selector to select one or more tools for LLM: ![image](https://github.com/user-attachments/assets/74a21fdf-9333-4175-991b-43df6524c5dc) And with the `bad_calculator` tool, it results this with the `qwen-max` model: ![image](https://github.com/user-attachments/assets/93aff9c4-8550-414a-90a2-1a15a5249d94) ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-05-16 16:32:19 +08:00
{ name = "pluginlib" },
{ name = "psycopg2-binary" },
{ name = "pyairtable" },
{ name = "pyclipper" },
{ name = "pycryptodomex" },
{ name = "pygithub" },
{ name = "pyobvector" },
{ name = "pyodbc" },
{ name = "pypandoc" },
{ name = "pypdf" },
Add fallback to use 'calamine' parse engine in excel_parser.py (#9374) ### What problem does this PR solve? add fallback to `calamine` engine when parse error raised using the default `openpyxl` / `xlrd` engine. e.g. the following error can be fixed: ``` Traceback (most recent call last): File "/ragflow/deepdoc/parser/excel_parser.py", line 53, in _load_excel_to_workbook df = pd.read_excel(file_like_object) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 495, in read_excel io = ExcelFile( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 1567, in __init__ self._reader = self._engines[engine]( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 46, in __init__ super().__init__( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 573, in __init__ self.book = self.load_workbook(self.handles.handle, engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 63, in load_workbook return open_workbook(file_contents=data, **engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/__init__.py", line 172, in open_workbook bk = open_workbook_xls( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 68, in open_workbook_xls bk.biff2_8_load( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 641, in biff2_8_load cd.locate_named_stream(UNICODE_LITERAL(qname)) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 398, in locate_named_stream result = self._locate_stream( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 429, in _locate_stream raise CompDocError("%s corruption: seen[%d] == %d" % (qname, s, self.seen[s])) xlrd.compdoc.CompDocError: Workbook corruption: seen[2] == 4 ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
2025-08-12 12:41:33 +08:00
{ name = "python-calamine" },
{ name = "python-docx" },
{ name = "python-gitlab" },
{ name = "python-pptx" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
{ name = "python-telegram-bot" },
{ name = "qianfan" },
{ name = "quart-auth" },
{ name = "quart-cors" },
{ name = "quart-schema" },
{ name = "ranx" },
{ name = "readability-lxml" },
{ name = "replicate" },
Feature/docs generator (#11858) ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### What problem does this PR solve? This PR introduces a new Docs Generator agent component for producing downloadable PDF, DOCX, or TXT files from Markdown content generated within a RAGFlow workflow. ### **Key Features** **Backend** - New component: DocsGenerator (agent/component/docs_generator.py) - - Markdown → PDF/DOCX/TXT conversion - - Supports tables, lists, code blocks, headings, and rich formatting - - Configurable document style (fonts, margins, colors, page size, orientation) - - Optional header logo and footer with page numbers/timestamps - **Frontend** - New configuration UI for the Docs Generator - - Download button integrated into the chat interface - - Output wired to the Message component - - Full i18n support **Documentation** Added component guide: docs/guides/agent/agent_component_reference/docs_generator.md **Usage** Add the Docs Generator to a workflow, connect Markdown output from an upstream component, configure metadata/style, and feed its output into the Message component. Users will see a document download button directly in the chat. **Contributor Note** We have been following RAGFlow since more than a year and half now and have worked extensively on personalizing the framework and integrating it into several of our internal systems. Over the past year and a half, we have built multiple platforms that rely on RAGFlow as a core component, which has given us a strong appreciation for how flexible and powerful the project is. We also previously contributed the full Italian translation, and we were glad to see it accepted. This new Docs Generator component was created for our own production needs, and we believe that it may be useful for many others in the community as well. We want to sincerely thank the entire RAGFlow team for the remarkable work you have done and continue to do. If there are opportunities to contribute further, we would be glad to help whenever we have time available. It would be a pleasure to support the project in any way we can. If appropriate, we would be glad to be listed among the project’s contributors, but in any case we look forward to continuing to support and contribute to the project. PentaFrame Development Team --------- Co-authored-by: PentaFrame <info@pentaframe.it> Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-12-12 07:59:43 +01:00
{ name = "reportlab" },
{ name = "roman-numbers" },
{ name = "ruamel-base" },
{ name = "ruamel-yaml" },
{ name = "scholarly" },
{ name = "selenium-wire" },
{ name = "setuptools" },
{ name = "slack-sdk" },
Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
{ name = "socksio" },
{ name = "spacy" },
Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
{ name = "sqlglotrs" },
{ name = "tavily-python" },
{ name = "tencentcloud-sdk-python" },
{ name = "tika" },
{ name = "valkey" },
{ name = "volcengine" },
{ name = "voyageai" },
{ name = "webdav4" },
{ name = "webdriver-manager" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
{ name = "wechatpy" },
{ name = "wikipedia" },
{ name = "word2number" },
{ name = "xgboost" },
{ name = "xpinyin" },
{ name = "yfinance" },
{ name = "zhipuai" },
]
[package.dev-dependencies]
test = [
{ name = "codecov" },
{ name = "hypothesis" },
{ name = "openpyxl" },
{ name = "pillow" },
{ name = "pycryptodomex" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-cov" },
{ name = "pytest-playwright" },
{ name = "pytest-xdist" },
{ name = "python-docx" },
{ name = "python-pptx" },
{ name = "reportlab" },
{ name = "requests" },
{ name = "requests-toolbelt" },
]
[package.metadata]
requires-dist = [
{ name = "agentrun-sdk", specifier = ">=0.0.51,<1.0.0" },
{ name = "aiohttp", specifier = ">=3.14.1" },
{ name = "aiosmtplib", specifier = ">=5.0.0" },
{ name = "akshare", specifier = ">=1.15.78,<2.0.0" },
{ name = "alibabacloud-dingtalk", specifier = ">=2.0.0" },
{ name = "anthropic", specifier = "==0.76.0" },
{ name = "arxiv", specifier = "==2.1.3" },
{ name = "asana", specifier = ">=5.2.2" },
{ name = "atlassian-python-api", specifier = "==4.0.7" },
feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
{ name = "audioop-lts", specifier = ">=0.2.1" },
{ name = "azure-identity", specifier = ">=1.25.3" },
{ name = "azure-storage-file-datalake", specifier = "==12.16.0" },
{ name = "beartype", specifier = ">=0.20.0,<1.0.0" },
{ name = "bio", specifier = "==1.7.1" },
Feat: add BedrockCV for vision/image2text inference via LiteLLM (#14705) ## Summary - `CvModel["Bedrock"]` was absent from `rag/llm/cv_model.py`, causing `model_instance()` to return `None` when a Bedrock model was used as a PDF parser — even after correct model resolution. - This PR adds `BedrockCV`, enabling Bedrock vision models (e.g. `amazon.nova-pro-v1:0`, `anthropic.claude-3-5-sonnet`) to be used as PDF parsers. ## What problem does this PR solve? When a Bedrock model is selected as the PDF parser in a knowledge base, ingestion failed with: ``` 'LiteLLMBase' object has no attribute 'describe_with_prompt' ``` The root cause: `LiteLLMBase` (the Bedrock chat implementation) was the only registered handler for the Bedrock factory. It does not implement `describe_with_prompt`. `CvModel` had no Bedrock entry, so `model_instance()` returned `None` for `image2text` requests. ## Type of change - [x] New Feature (non-breaking change which adds functionality) ## Changes **`rag/llm/cv_model.py`** Adds `BedrockCV(Base)` with `_FACTORY_NAME = "Bedrock"`: - Uses `litellm.completion` with the `bedrock/` prefix (consistent with `LiteLLMBase`) - Parses AWS credentials from the JSON key assembled by `add_llm` (`auth_mode`, `bedrock_ak`, `bedrock_sk`, `bedrock_region`, `aws_role_arn`) - Supports three auth modes: `access_key_secret`, `iam_role` (via STS `assume_role`), and default credential chain (IRSA, instance profile) - Implements `describe_with_prompt` and `describe` ## Test plan - [ ] Configure a Bedrock vision model (e.g. `amazon.nova-pro-v1:0`) with valid AWS credentials - [ ] Select it as PDF parser in a knowledge base - [ ] Verify ingestion of a PDF document completes without errors - [ ] Verify `CvModel["Bedrock"]` resolves to `BedrockCV` 🤖 Generated with [Claude Code](https://claude.ai/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-11 04:29:58 +02:00
{ name = "boto3", specifier = ">=1.28.0" },
{ name = "boxsdk", specifier = ">=10.1.0" },
{ name = "browser-use", specifier = ">=0.11.1,<0.12.0" },
{ name = "captcha", specifier = ">=0.7.1" },
{ name = "chardet", specifier = ">=5.2.0,<6.0.0" },
{ name = "cn2an", specifier = "==0.5.22" },
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{ name = "crawl4ai", specifier = ">=0.9.0,<0.9.1" },
{ name = "dashscope", specifier = "==1.25.11" },
{ name = "debugpy", specifier = ">=1.8.13" },
{ name = "deepl", specifier = "==1.18.0" },
{ name = "demjson3", specifier = "==3.0.6" },
{ name = "discord-py", specifier = "==2.3.2" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
{ name = "discord-py", specifier = ">=2.3.0" },
{ name = "dropbox", specifier = "==12.0.2" },
{ name = "duckduckgo-search", specifier = ">=7.2.0,<8.0.0" },
{ name = "editdistance", specifier = "==0.8.1" },
{ name = "elasticsearch-dsl", specifier = "==8.12.0" },
{ name = "en-core-web-sm", url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl" },
{ name = "exceptiongroup", specifier = ">=1.3.0,<2.0.0" },
{ name = "extract-msg", specifier = ">=0.39.0" },
{ name = "feedparser", specifier = ">=6.0.11,<7.0.0" },
{ name = "ffmpeg-python", specifier = ">=0.2.0" },
{ name = "flasgger", specifier = ">=0.9.7.1,<0.10.0" },
{ name = "flask-cors", specifier = "==6.0.2" },
{ name = "flask-login", specifier = "==0.6.3" },
{ name = "flask-mail", specifier = ">=0.10.0" },
{ name = "flask-session", specifier = "==0.8.0" },
{ name = "google-api-python-client", specifier = ">=2.190.0,<3.0.0" },
{ name = "google-auth-oauthlib", specifier = ">=1.2.0,<2.0.0" },
{ name = "google-cloud-bigquery", specifier = ">=3.25.0,<4.0.0" },
{ name = "google-cloud-storage", specifier = ">=2.19.0,<3.0.0" },
{ name = "google-genai", specifier = ">=1.41.0,<2.0.0" },
{ name = "google-search-results", specifier = "==2.4.2" },
{ name = "graspologic", git = "https://gitee.com/infiniflow/graspologic.git?rev=38e680cab72bc9fb68a7992c3bcc2d53b24e42fd" },
{ name = "groq", specifier = ">=0.30.0,<1.0.0" },
Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
{ name = "grpcio-status", specifier = "==1.67.1" },
{ name = "html-text", specifier = "==0.6.2" },
{ name = "infinity-emb", specifier = ">=0.0.66,<0.0.67" },
{ name = "infinity-sdk", specifier = "==0.7.0" },
{ name = "jira", specifier = "==3.10.5" },
{ name = "json-repair", specifier = "==0.35.0" },
{ name = "langfuse", specifier = ">=4.0.1" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
{ name = "lark-oapi", specifier = ">=1.2.0" },
{ name = "line-bot-sdk", specifier = ">=3.0.0" },
feat(agent): Go port — canvas engine, 22 components, DSL v2, 13 endpoints (#15952) Ports the agent canvas subsystem from Python to Go. ## What's included ### Canvas Engine (Phase 0/1) - State engine, scheduler, variable resolver, Redis checkpoint store, cancel protocol - **209 tests** across canvas / component / io packages ### 22 Components (P0–P4) | Tier | Components | |---|---| | P0 T1+T2+T3 | LLM, Agent, ExitLoop, Switch, Categorize, Begin, Message, Invoke | | P1 T3 | VariableAggregator, VariableAssigner, StringTransform, ListOperations, DataOperations | | P2 T3 | Iteration, IterationItem, Loop, LoopItem | | P3 T3 | UserFillUp, Fillup | | P4 T5 | Browser, ExcelProcessor, DocsGenerator | ### DSL v2 Schema (Phase 2.5) - Typed v2 in-memory model with v1-to-v2 auto-detect converter - v1 legacy field stripping per plan §2.11.7 ### HTTP Endpoints & Bug Fixes (Plans PR1–PR3) - **DELETE SQL bug fix**: gorm v2 `Where("id = ?", id).Delete(...)` pattern - **CreateAgent validation**: title/DSL required, duplicate check, 103 envelope - **13 new endpoints**: templates, prompts, tags, sessions CRUD, chat/completions (SSE + non-stream stubs), rerun, test_db_connection, logs, webhook/logs - **756 Go unit tests** (745 → 756, +18) - **17 → 0 Python integration test failures** (test_agents.py + test_session_management/) ### Tools 21 eino tools: HTTPHelper, search tools, financial/data tools, mandatory stubs ### Infrastructure OTel observability, NATS message queue, DeepDoc gRPC client, SSRF guards, IDOR mitigation
2026-06-12 22:58:28 +08:00
{ name = "litellm", specifier = "==1.82.5" },
{ name = "mammoth", specifier = ">=1.11.0" },
{ name = "markdown", specifier = "==3.6" },
{ name = "markdown-to-json", specifier = "==2.1.1" },
{ name = "markdownify", specifier = ">=1.2.0" },
{ name = "mcp", specifier = ">=1.19.0" },
{ name = "mini-racer", specifier = ">=0.12.4,<0.13.0" },
{ name = "minio", specifier = "==7.2.4" },
{ name = "mistralai", specifier = "==0.4.2" },
{ name = "moodlepy", specifier = ">=0.23.0" },
{ name = "mypy-boto3-s3", specifier = "==1.40.26" },
feat/add MySQL and PostgreSQL data source connectors (#12817) ### What problem does this PR solve? This PR adds MySQL and PostgreSQL as data source connectors, allowing users to import data directly from relational databases into RAGFlow for RAG workflows. Many users store their knowledge in databases (product catalogs, documentation, FAQs, etc.) and currently have no way to sync this data into RAGFlow without exporting to files first. This feature lets them connect directly to their databases, run SQL queries, and automatically create documents from the results. Closes #763 Closes #11560 ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): ### What this PR does **New capabilities:** - Connect to MySQL and PostgreSQL databases - Run custom SQL queries to extract data - Map database columns to document content (vectorized) and metadata (searchable) - Support incremental sync using a timestamp column - Full frontend UI with connection form and tooltips **Files changed:** Backend: - `common/constants.py` - Added MYSQL/POSTGRESQL to FileSource enum - `common/data_source/config.py` - Added to DocumentSource enum - `common/data_source/rdbms_connector.py` - New connector (368 lines) - `common/data_source/__init__.py` - Exported the connector - `rag/svr/sync_data_source.py` - Added MySQL and PostgreSQL sync classes - `pyproject.toml` - Added mysql-connector-python dependency Frontend: - `web/src/pages/user-setting/data-source/constant/index.tsx` - Form fields - `web/src/locales/en.ts` - English translations - `web/src/assets/svg/data-source/mysql.svg` - MySQL icon - `web/src/assets/svg/data-source/postgresql.svg` - PostgreSQL icon ### Testing done Tested with MySQL 8.0 and PostgreSQL 16: - Connection validation works correctly - Full sync imports all query results as documents - Incremental sync only fetches rows updated since last sync - Custom SQL queries filter data as expected - Invalid credentials show clear error messages - Lint checks pass (`ruff check` returns no errors) --------- Co-authored-by: mkdev11 <YOUR_GITHUB_ID+MkDev11@users.noreply.github.com>
2026-02-03 23:14:32 -03:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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Feat: Adds OpenSearch2.19.1 as the vector_database support (#7140) ### What problem does this PR solve? This PR adds the support for latest OpenSearch2.19.1 as the store engine & search engine option for RAGFlow. ### Main Benefit 1. OpenSearch2.19.1 is licensed under the [Apache v2.0 License] which is much better than Elasticsearch 2. For search, OpenSearch2.19.1 supports full-text search、vector_search、hybrid_search those are similar with Elasticsearch on schema 3. For store, OpenSearch2.19.1 stores text、vector those are quite simliar with Elasticsearch on schema ### Changes - Support opensearch_python_connetor. I make a lot of adaptions since the schema and api/method between ES and Opensearch differs in many ways(especially the knn_search has a significant gap) : rag/utils/opensearch_coon.py - Support static config adaptions by changing: conf/service_conf.yaml、api/settings.py、rag/settings.py - Supprt some store&search schema changes between OpenSearch and ES: conf/os_mapping.json - Support OpenSearch python sdk : pyproject.toml - Support docker config for OpenSearch2.19.1 : docker/.env、docker/docker-compose-base.yml、docker/service_conf.yaml.template ### How to use - I didn't change the priority that ES as the default doc/search engine. Only if in docker/.env , we set DOC_ENGINE=${DOC_ENGINE:-opensearch}, it will work. ### Others Our team tested a lot of docs in our environment by using OpenSearch as the vector database ,it works very well. All the conifg for OpenSearch is necessary. ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Co-authored-by: Yongteng Lei <yongtengrey@outlook.com> Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com> Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
2025-04-24 16:03:31 +08:00
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Build(deps): Bump pypdf from 6.9.2 to 6.10.2 (#14184) Bumps [pypdf](https://github.com/py-pdf/pypdf) from 6.9.2 to 6.10.2. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/py-pdf/pypdf/releases">pypdf's releases</a>.</em></p> <blockquote> <h2>Version 6.10.2, 2026-04-15</h2> <h2>What's new</h2> <h3>Security (SEC)</h3> <ul> <li>Do not rely on possibly invalid /Size for incremental cloning (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3735">#3735</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> <li>Introduce limits for FlateDecode parameters and image decoding (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3734">#3734</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> </ul> <p><a href="https://github.com/py-pdf/pypdf/compare/6.10.1...6.10.2">Full Changelog</a></p> <h2>Version 6.10.1, 2026-04-14</h2> <h2>What's new</h2> <h3>Security (SEC)</h3> <ul> <li>Limit the allowed size of xref and object streams (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3733">#3733</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> </ul> <h3>Robustness (ROB)</h3> <ul> <li>Consider strict mode setting for decryption errors (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3731">#3731</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> </ul> <h3>Documentation (DOC)</h3> <ul> <li>Use new parameter names for compress_identical_objects by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> </ul> <p><a href="https://github.com/py-pdf/pypdf/compare/6.10.0...6.10.1">Full Changelog</a></p> <h2>Version 6.10.0, 2026-04-10</h2> <h2>What's new</h2> <h3>Security (SEC)</h3> <ul> <li>Disallow custom XML entity declarations for XMP metadata (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3724">#3724</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> </ul> <h3>New Features (ENH)</h3> <ul> <li>Skip MD5 key derivation for AES-256 encrypted PDFs (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3694">#3694</a>) by <a href="https://github.com/Ygnas"><code>@​Ygnas</code></a></li> </ul> <h3>Bug Fixes (BUG)</h3> <ul> <li>Use remove_orphans in compress_identical_objects (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3310">#3310</a>) by <a href="https://github.com/j-t-1"><code>@​j-t-1</code></a></li> <li>Fix PdfReadError when xref table contains comments before trailer (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3710">#3710</a>) by <a href="https://github.com/rassie"><code>@​rassie</code></a></li> <li>Correctly verify AES padding during decryption (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3699">#3699</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> <li>Fix stale object cache from non-authoritative object streams (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3698">#3698</a>) by <a href="https://github.com/astahlman"><code>@​astahlman</code></a></li> <li>Fix extract_links pairing when annotations include non-links (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3687">#3687</a>) by <a href="https://github.com/ReinerBRO"><code>@​ReinerBRO</code></a></li> </ul> <h3>Documentation (DOC)</h3> <ul> <li>Add AI policy (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3717">#3717</a>) by <a href="https://github.com/stefan6419846"><code>@​stefan6419846</code></a></li> </ul> <p><a href="https://github.com/py-pdf/pypdf/compare/6.9.2...6.10.0">Full Changelog</a></p> </blockquote> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/py-pdf/pypdf/blob/main/CHANGELOG.md">pypdf's changelog</a>.</em></p> <blockquote> <h2>Version 6.10.2, 2026-04-15</h2> <h3>Security (SEC)</h3> <ul> <li>Do not rely on possibly invalid /Size for incremental cloning (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3735">#3735</a>)</li> <li>Introduce limits for FlateDecode parameters and image decoding (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3734">#3734</a>)</li> </ul> <p><a href="https://github.com/py-pdf/pypdf/compare/6.10.1...6.10.2">Full Changelog</a></p> <h2>Version 6.10.1, 2026-04-14</h2> <h3>Security (SEC)</h3> <ul> <li>Limit the allowed size of xref and object streams (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3733">#3733</a>)</li> </ul> <h3>Robustness (ROB)</h3> <ul> <li>Consider strict mode setting for decryption errors (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3731">#3731</a>)</li> </ul> <h3>Documentation (DOC)</h3> <ul> <li>Use new parameter names for compress_identical_objects</li> </ul> <p><a href="https://github.com/py-pdf/pypdf/compare/6.10.0...6.10.1">Full Changelog</a></p> <h2>Version 6.10.0, 2026-04-10</h2> <h3>Security (SEC)</h3> <ul> <li>Disallow custom XML entity declarations for XMP metadata (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3724">#3724</a>)</li> </ul> <h3>New Features (ENH)</h3> <ul> <li>Skip MD5 key derivation for AES-256 encrypted PDFs (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3694">#3694</a>)</li> </ul> <h3>Bug Fixes (BUG)</h3> <ul> <li>Use remove_orphans in compress_identical_objects (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3310">#3310</a>)</li> <li>Fix PdfReadError when xref table contains comments before trailer (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3710">#3710</a>)</li> <li>Correctly verify AES padding during decryption (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3699">#3699</a>)</li> <li>Fix stale object cache from non-authoritative object streams (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3698">#3698</a>)</li> <li>Fix extract_links pairing when annotations include non-links (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3687">#3687</a>)</li> </ul> <h3>Documentation (DOC)</h3> <ul> <li>Add AI policy (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3717">#3717</a>)</li> </ul> <p><a href="https://github.com/py-pdf/pypdf/compare/6.9.2...6.10.0">Full Changelog</a></p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/py-pdf/pypdf/commit/c476b4f293c8ef4cac07dfb755e5582d838fcdc0"><code>c476b4f</code></a> REL: 6.10.2</li> <li><a href="https://github.com/py-pdf/pypdf/commit/c50a0104cf083356f7c7f5d61410466a57f5c88a"><code>c50a010</code></a> SEC: Do not rely on possibly invalid /Size for incremental cloning (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3735">#3735</a>)</li> <li><a href="https://github.com/py-pdf/pypdf/commit/ac734dab4eef92bcce50d503949b4d9887d89f11"><code>ac734da</code></a> SEC: Introduce limits for FlateDecode parameters and image decoding (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3734">#3734</a>)</li> <li><a href="https://github.com/py-pdf/pypdf/commit/b49e7eb45422c19b68ac59c51b7699409e74d44e"><code>b49e7eb</code></a> REL: 6.10.1</li> <li><a href="https://github.com/py-pdf/pypdf/commit/62338e9d36419cf193ccec7331784f45df1d70b3"><code>62338e9</code></a> SEC: Limit the allowed size of xref and object streams (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3733">#3733</a>)</li> <li><a href="https://github.com/py-pdf/pypdf/commit/5dcc0aebaa2c732028ea8def2eb9982e324b7c11"><code>5dcc0ae</code></a> DEV: Update pytest-benchmark to 5.2.3</li> <li><a href="https://github.com/py-pdf/pypdf/commit/b42e4aa98ae5c7fdd02558d165d39fe639fdf97d"><code>b42e4aa</code></a> DEV: Update pinned pillow and pytest where possible (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3732">#3732</a>)</li> <li><a href="https://github.com/py-pdf/pypdf/commit/717446b1218a3eb236cb47d1bae2b68451ccb6c0"><code>717446b</code></a> ROB: Consider strict mode setting for decryption errors (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3731">#3731</a>)</li> <li><a href="https://github.com/py-pdf/pypdf/commit/9e461d361b9004da68fc8e6acc4308cce68aa304"><code>9e461d3</code></a> DEV: Bump softprops/action-gh-release from 2 to 3 (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3730">#3730</a>)</li> <li><a href="https://github.com/py-pdf/pypdf/commit/500d09d92fa80a6f1fcdfa46656893efd05e91ff"><code>500d09d</code></a> TST: Update <code>test_embedded_file__basic</code> to use <code>tmp_path</code> fixture (<a href="https://redirect.github.com/py-pdf/pypdf/issues/3726">#3726</a>)</li> <li>Additional commits viewable in <a href="https://github.com/py-pdf/pypdf/compare/6.9.2...6.10.2">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=pypdf&package-manager=uv&previous-version=6.9.2&new-version=6.10.2)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/infiniflow/ragflow/network/alerts). </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-04-17 18:43:19 +08:00
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Add fallback to use 'calamine' parse engine in excel_parser.py (#9374) ### What problem does this PR solve? add fallback to `calamine` engine when parse error raised using the default `openpyxl` / `xlrd` engine. e.g. the following error can be fixed: ``` Traceback (most recent call last): File "/ragflow/deepdoc/parser/excel_parser.py", line 53, in _load_excel_to_workbook df = pd.read_excel(file_like_object) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 495, in read_excel io = ExcelFile( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 1567, in __init__ self._reader = self._engines[engine]( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 46, in __init__ super().__init__( File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_base.py", line 573, in __init__ self.book = self.load_workbook(self.handles.handle, engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/pandas/io/excel/_xlrd.py", line 63, in load_workbook return open_workbook(file_contents=data, **engine_kwargs) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/__init__.py", line 172, in open_workbook bk = open_workbook_xls( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 68, in open_workbook_xls bk.biff2_8_load( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/book.py", line 641, in biff2_8_load cd.locate_named_stream(UNICODE_LITERAL(qname)) File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 398, in locate_named_stream result = self._locate_stream( File "/ragflow/.venv/lib/python3.10/site-packages/xlrd/compdoc.py", line 429, in _locate_stream raise CompDocError("%s corruption: seen[%d] == %d" % (qname, s, self.seen[s])) xlrd.compdoc.CompDocError: Workbook corruption: seen[2] == 4 ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
2025-08-12 12:41:33 +08:00
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{ name = "python-docx", specifier = ">=1.1.2,<2.0.0" },
{ name = "python-gitlab", specifier = ">=7.0.0" },
{ name = "python-pptx", specifier = ">=1.0.2,<2.0.0" },
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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{ name = "qianfan", specifier = "==0.4.6" },
{ name = "quart-auth", specifier = "==0.11.0" },
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Feature/docs generator (#11858) ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### What problem does this PR solve? This PR introduces a new Docs Generator agent component for producing downloadable PDF, DOCX, or TXT files from Markdown content generated within a RAGFlow workflow. ### **Key Features** **Backend** - New component: DocsGenerator (agent/component/docs_generator.py) - - Markdown → PDF/DOCX/TXT conversion - - Supports tables, lists, code blocks, headings, and rich formatting - - Configurable document style (fonts, margins, colors, page size, orientation) - - Optional header logo and footer with page numbers/timestamps - **Frontend** - New configuration UI for the Docs Generator - - Download button integrated into the chat interface - - Output wired to the Message component - - Full i18n support **Documentation** Added component guide: docs/guides/agent/agent_component_reference/docs_generator.md **Usage** Add the Docs Generator to a workflow, connect Markdown output from an upstream component, configure metadata/style, and feed its output into the Message component. Users will see a document download button directly in the chat. **Contributor Note** We have been following RAGFlow since more than a year and half now and have worked extensively on personalizing the framework and integrating it into several of our internal systems. Over the past year and a half, we have built multiple platforms that rely on RAGFlow as a core component, which has given us a strong appreciation for how flexible and powerful the project is. We also previously contributed the full Italian translation, and we were glad to see it accepted. This new Docs Generator component was created for our own production needs, and we believe that it may be useful for many others in the community as well. We want to sincerely thank the entire RAGFlow team for the remarkable work you have done and continue to do. If there are opportunities to contribute further, we would be glad to help whenever we have time available. It would be a pleasure to support the project in any way we can. If appropriate, we would be glad to be listed among the project’s contributors, but in any case we look forward to continuing to support and contribute to the project. PentaFrame Development Team --------- Co-authored-by: PentaFrame <info@pentaframe.it> Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-12-12 07:59:43 +01:00
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Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
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Remove unused py module dependencies (#11964) ### What problem does this PR solve? ``` pip list --not-required Package Version ---------------------------- --------------------- aiosmtplib 5.0.0 akshare 1.17.94 anthropic 0.34.1 arxiv 2.1.3 Aspose.Slides 24.7.0 atlassian-python-api 4.0.7 azure-identity 1.17.1 azure-storage-file-datalake 12.16.0 bio 1.7.1 boxsdk 10.2.0 captcha 0.7.1 cn2an 0.5.22 cohere 5.6.2 Crawl4AI 0.4.247 dashscope 1.20.11 deepl 1.18.0 demjson3 3.0.6 discord.py 2.3.2 dropbox 12.0.2 duckduckgo_search 7.5.5 editdistance 0.8.1 elasticsearch-dsl 8.12.0 exceptiongroup 1.3.1 extract-msg 0.55.0 ffmpeg-python 0.2.0 flasgger 0.9.7.1 Flask-Cors 5.0.0 Flask-Login 0.6.3 Flask-Mail 0.10.0 Flask-Session 0.8.0 google-auth-oauthlib 1.2.3 google-genai 1.55.0 google-generativeai 0.8.5 google_search_results 2.4.2 graspologic 0.1.dev847+g38e680cab groq 0.9.0 grpcio-status 1.67.1 html_text 0.6.2 imageio-ffmpeg 0.6.0 infinity_emb 0.0.66 infinity-sdk 0.6.11 jira 3.10.5 json_repair 0.35.0 langfuse 3.10.5 mammoth 1.11.0 Markdown 3.6 markdown_to_json 2.1.1 markdownify 1.2.2 mcp 1.19.0 mini-racer 0.12.4 minio 7.2.4 mistralai 0.4.2 moodlepy 0.24.1 mypy-boto3-s3 1.40.26 Office365-REST-Python-Client 2.6.2 ollama 0.6.1 onnxruntime-gpu 1.23.2 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opendal 0.45.20 opensearch-py 2.7.1 ormsgpack 1.5.0 pdfplumber 0.10.4 pip 25.3 pluginlib 0.9.4 psycopg2-binary 2.9.11 pyclipper 1.4.0 pycryptodomex 3.20.0 pyobvector 0.2.18 pyodbc 5.3.0 pypandoc 1.16.2 pypdf 6.4.0 PyPDF2 3.0.1 python-calamine 0.6.1 python-docx 1.2.0 python-pptx 1.0.2 pywencai 0.13.1 qianfan 0.4.6 quart-auth 0.11.0 quart-cors 0.8.0 ranx 0.3.20 readability-lxml 0.8.4.1 replicate 0.31.0 reportlab 4.4.6 roman-numbers 1.0.2 ruamel.base 1.0.0 ruamel.yaml 0.18.16 scholarly 1.7.11 selenium-wire 5.1.0 slack_sdk 3.37.0 socksio 1.0.0 sqlglotrs 0.9.0 StrEnum 0.4.15 tavily-python 0.5.1 tencentcloud-sdk-python 3.0.1478 tika 2.6.0 valkey 6.0.2 vertexai 1.70.0 volcengine 1.0.194 voyageai 0.2.3 webdav4 0.10.0 webdriver-manager 4.0.1 wikipedia 1.4.0 word2number 1.1 xgboost 1.6.0 xpinyin 0.7.6 yfinance 0.2.65 zhipuai 2.0.1 ``` ### Type of change - [x] Refactoring Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-12-16 12:40:03 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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build(deps): bump starlette from 0.51.0 to 1.3.1 (#16089) Bumps [starlette](https://github.com/Kludex/starlette) from 0.51.0 to 1.3.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/Kludex/starlette/releases">starlette's releases</a>.</em></p> <blockquote> <h2>Version 1.3.1</h2> <h2>What's Changed</h2> <ul> <li>Use <code>StarletteDeprecationWarning</code> instead of <code>DeprecationWarning</code> by <a href="https://github.com/Kludex"><code>@​Kludex</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3119">Kludex/starlette#3119</a></li> <li>Enforce <code>max_fields</code> and <code>max_part_size</code> in <code>FormParser</code> by <a href="https://github.com/Kludex"><code>@​Kludex</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3329">Kludex/starlette#3329</a></li> <li>Enforce <code>FormParser</code> limits in parser callbacks by <a href="https://github.com/Kludex"><code>@​Kludex</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3331">Kludex/starlette#3331</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/Kludex/starlette/compare/1.3.0...1.3.1">https://github.com/Kludex/starlette/compare/1.3.0...1.3.1</a></p> <h2>Version 1.3.0</h2> <h2>What's Changed</h2> <ul> <li>Clamp oversized suffix ranges in <code>FileResponse</code> by <a href="https://github.com/jiyujie2006"><code>@​jiyujie2006</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3307">Kludex/starlette#3307</a></li> <li>Catch <code>OSError</code> alongside <code>MultiPartException</code> when closing temp files by <a href="https://github.com/N3XT3R1337"><code>@​N3XT3R1337</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3191">Kludex/starlette#3191</a></li> <li>Add <code>httpx2</code> to the <code>full</code> extra by <a href="https://github.com/Kludex"><code>@​Kludex</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3323">Kludex/starlette#3323</a></li> <li>Adjust testclient typing and warnings by <a href="https://github.com/waketzheng"><code>@​waketzheng</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3322">Kludex/starlette#3322</a></li> <li>Fix IndexError in URL.replace() on a URL with no authority by <a href="https://github.com/LeSingh1"><code>@​LeSingh1</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3317">Kludex/starlette#3317</a></li> <li>Annotate URLPath protocol parameter with Literal by <a href="https://github.com/Chang-LeHung"><code>@​Chang-LeHung</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3285">Kludex/starlette#3285</a></li> <li>avoid collapsing exception groups from user code by <a href="https://github.com/graingert"><code>@​graingert</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/2830">Kludex/starlette#2830</a></li> <li>Use 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href="https://github.com/leestana01"><code>@​leestana01</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3319">Kludex/starlette#3319</a></li> <li><a href="https://github.com/LeSingh1"><code>@​LeSingh1</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3317">Kludex/starlette#3317</a></li> <li><a href="https://github.com/EmmanuelNiyonshuti"><code>@​EmmanuelNiyonshuti</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3204">Kludex/starlette#3204</a></li> <li><a href="https://github.com/Chang-LeHung"><code>@​Chang-LeHung</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3285">Kludex/starlette#3285</a></li> <li><a href="https://github.com/gnosyslambda"><code>@​gnosyslambda</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3193">Kludex/starlette#3193</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/Kludex/starlette/compare/1.2.1...1.3.0">https://github.com/Kludex/starlette/compare/1.2.1...1.3.0</a></p> <h2>Version 1.2.1</h2> <h2>What's Changed</h2> <ul> <li>Use <code>httpx2</code> for type checking in the <code>testclient</code> module by <a href="https://github.com/leifwar"><code>@​leifwar</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3304">Kludex/starlette#3304</a></li> <li>Add assert error for requires() when request param is not Request type by <a href="https://github.com/KeeganOP"><code>@​KeeganOP</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3298">Kludex/starlette#3298</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/leifwar"><code>@​leifwar</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3304">Kludex/starlette#3304</a></li> <li><a href="https://github.com/diskeu"><code>@​diskeu</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3243">Kludex/starlette#3243</a></li> <li><a href="https://github.com/KeeganOP"><code>@​KeeganOP</code></a> made their first contribution in <a href="https://redirect.github.com/Kludex/starlette/pull/3298">Kludex/starlette#3298</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/Kludex/starlette/compare/1.2.0...1.2.1">https://github.com/Kludex/starlette/compare/1.2.0...1.2.1</a></p> <h2>Version 1.2.0</h2> <h2>What's Changed</h2> <ul> <li>Support httpx2 in the test client by <a href="https://github.com/Kludex"><code>@​Kludex</code></a> in <a href="https://redirect.github.com/Kludex/starlette/pull/3291">Kludex/starlette#3291</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/Kludex/starlette/compare/1.1.0...1.2.0">https://github.com/Kludex/starlette/compare/1.1.0...1.2.0</a></p> <h2>Version 1.1.0</h2> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/Kludex/starlette/blob/main/docs/release-notes.md">starlette's changelog</a>.</em></p> <blockquote> <h2>1.3.1 (June 12, 2026)</h2> <h4>Fixed</h4> <ul> <li>Enforce <code>max_fields</code> and <code>max_part_size</code> in <code>FormParser</code> <a href="https://redirect.github.com/encode/starlette/pull/3329">#3329</a>.</li> <li>Enforce <code>FormParser</code> limits in parser callbacks <a href="https://redirect.github.com/encode/starlette/pull/3331">#3331</a>.</li> </ul> <h2>1.3.0 (June 11, 2026)</h2> <h4>Added</h4> <ul> <li>Add <code>httpx2</code> to the <code>full</code> extra <a href="https://redirect.github.com/encode/starlette/pull/3323">#3323</a>.</li> <li>Annotate the <code>URLPath</code> <code>protocol</code> parameter with <code>Literal</code> <a href="https://redirect.github.com/encode/starlette/pull/3285">#3285</a>.</li> </ul> <h4>Fixed</h4> <ul> <li>Build <code>request.url</code> from structured components <a href="https://redirect.github.com/encode/starlette/pull/3326">#3326</a>.</li> <li>Clamp oversized suffix ranges in <code>FileResponse</code> <a href="https://redirect.github.com/encode/starlette/pull/3307">#3307</a>.</li> <li>Catch <code>OSError</code> alongside <code>MultiPartException</code> when closing temp files <a href="https://redirect.github.com/encode/starlette/pull/3191">#3191</a>.</li> <li>Avoid collapsing exception groups raised from user code <a href="https://redirect.github.com/encode/starlette/pull/2830">#2830</a>.</li> <li>Use <code>removeprefix</code> to strip the weak <code>ETag</code> indicator in <code>is_not_modified</code> <a href="https://redirect.github.com/encode/starlette/pull/3193">#3193</a>.</li> <li>Fix <code>IndexError</code> in <code>URL.replace()</code> on a URL with no authority <a href="https://redirect.github.com/encode/starlette/pull/3317">#3317</a>.</li> <li>Adjust <code>testclient</code> typing and warnings <a href="https://redirect.github.com/encode/starlette/pull/3322">#3322</a>.</li> </ul> <h2>1.2.1 (May 31, 2026)</h2> <h4>Fixed</h4> <ul> <li>Use <code>httpx2</code> for type checking in the <code>testclient</code> module <a href="https://redirect.github.com/encode/starlette/pull/3304">#3304</a>.</li> <li>Add assert error for <code>requires()</code> when the request parameter is not a <code>Request</code> type <a href="https://redirect.github.com/encode/starlette/pull/3298">#3298</a>.</li> </ul> <h2>1.2.0 (May 28, 2026)</h2> <h4>Added</h4> <ul> <li>Support httpx2 in the test client <a href="https://redirect.github.com/encode/starlette/pull/3291">#3291</a>.</li> </ul> <h2>1.1.0 (May 23, 2026)</h2> <h4>Added</h4> <ul> <li>Use <code>&quot;application/octet-stream&quot;</code> as the <code>FileResponse</code> media type fallback <a href="https://redirect.github.com/encode/starlette/pull/3283">#3283</a>.</li> </ul> <h4>Fixed</h4> <ul> <li>Only dispatch standard HTTP verbs in <code>HTTPEndpoint</code> <a href="https://redirect.github.com/encode/starlette/pull/3286">#3286</a>.</li> <li>Reject absolute paths in <code>StaticFiles.lookup_path</code> <a href="https://redirect.github.com/encode/starlette/pull/3287">#3287</a>.</li> </ul> <h2>1.0.1 (May 21, 2026)</h2> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/Kludex/starlette/commit/8ebffd0678570ddd5d5bb11c6f3c3c7fd4682ab9"><code>8ebffd0</code></a> Version 1.3.1 (<a href="https://redirect.github.com/Kludex/starlette/issues/3330">#3330</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/25b8e179d8d7ed86769c02f648772dd5fb43dc3c"><code>25b8e17</code></a> Enforce <code>FormParser</code> limits in parser callbacks (<a href="https://redirect.github.com/Kludex/starlette/issues/3331">#3331</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/dba1c4babc4f99ad2622bb913d87045775dda735"><code>dba1c4b</code></a> Enforce <code>max_fields</code> and <code>max_part_size</code> in <code>FormParser</code> (<a href="https://redirect.github.com/Kludex/starlette/issues/3329">#3329</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/45e51dcf99f3a270b0bcec1aec5410b4345863a9"><code>45e51dc</code></a> Use <code>StarletteDeprecationWarning</code> instead of <code>DeprecationWarning</code> (<a href="https://redirect.github.com/Kludex/starlette/issues/3119">#3119</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/5f8610c386e13de1d80d36efa961e1486a1d2d01"><code>5f8610c</code></a> Version 1.3.0 (<a href="https://redirect.github.com/Kludex/starlette/issues/3327">#3327</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/167b5850e809f38b27fbfed62d58bf6442855975"><code>167b585</code></a> Build <code>request.url</code> from structured components (<a href="https://redirect.github.com/Kludex/starlette/issues/3326">#3326</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/37309255b4c1b9c381a2d24a1eaf83100984a16a"><code>3730925</code></a> Use <code>removeprefix</code> to strip weak ETag indicator in <code>is_not_modified</code> (<a href="https://redirect.github.com/Kludex/starlette/issues/3193">#3193</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/e6f7ad1ab85efb27ab7910d8007b3f4531f7b083"><code>e6f7ad1</code></a> avoid collapsing exception groups from user code (<a href="https://redirect.github.com/Kludex/starlette/issues/2830">#2830</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/115228fcdca0e0ef5bf4a95a40ddce5a9fced428"><code>115228f</code></a> Annotate URLPath protocol parameter with Literal (<a href="https://redirect.github.com/Kludex/starlette/issues/3285">#3285</a>)</li> <li><a href="https://github.com/Kludex/starlette/commit/113f193a34353c9153857028c1074351d22fad07"><code>113f193</code></a> docs: replace inline ASGI server list with link to canonical implemen… (<a href="https://redirect.github.com/Kludex/starlette/issues/3204">#3204</a>)</li> <li>Additional commits viewable in <a href="https://github.com/Kludex/starlette/compare/0.51.0...1.3.1">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=starlette&package-manager=uv&previous-version=0.51.0&new-version=1.3.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/infiniflow/ragflow/network/alerts). </details> Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
2026-06-16 19:24:45 +08:00
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
[[package]]
name = "tablestore"
version = "6.4.6"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
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{ name = "future" },
{ name = "numpy" },
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[[package]]
name = "tablestore-agent-storage"
version = "1.0.6"
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
dependencies = [
{ name = "oss2" },
{ name = "tablestore" },
]
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feat: Implement pluggable multi-provider sandbox architecture (#12820) ## Summary Implement a flexible sandbox provider system supporting both self-managed (Docker) and SaaS (Aliyun Code Interpreter) backends for secure code execution in agent workflows. **Key Changes:** - ✅ Aliyun Code Interpreter provider using official `agentrun-sdk>=0.0.16` - ✅ Self-managed provider with gVisor (runsc) security - ✅ Arguments parameter support for dynamic code execution - ✅ Database-only configuration (removed fallback logic) - ✅ Configuration scripts for quick setup Issue #12479 ## Features ### 🔌 Provider Abstraction Layer **1. Self-Managed Provider** (`agent/sandbox/providers/self_managed.py`) - Wraps existing executor_manager HTTP API - gVisor (runsc) for secure container isolation - Configurable pool size, timeout, retry logic - Languages: Python, Node.js, JavaScript - ⚠️ **Requires**: gVisor installation, Docker, base images **2. Aliyun Code Interpreter** (`agent/sandbox/providers/aliyun_codeinterpreter.py`) - SaaS integration using official agentrun-sdk - Serverless microVM execution with auto-authentication - Hard timeout: 30 seconds max - Credentials: `AGENTRUN_ACCESS_KEY_ID`, `AGENTRUN_ACCESS_KEY_SECRET`, `AGENTRUN_ACCOUNT_ID`, `AGENTRUN_REGION` - Automatically wraps code to call `main()` function **3. E2B Provider** (`agent/sandbox/providers/e2b.py`) - Placeholder for future integration ### ⚙️ Configuration System - `conf/system_settings.json`: Default provider = `aliyun_codeinterpreter` - `agent/sandbox/client.py`: Enforces database-only configuration - Admin UI: `/admin/sandbox-settings` - Configuration validation via `validate_config()` method - Health checks for all providers ### 🎯 Key Capabilities **Arguments Parameter Support:** All providers support passing arguments to `main()` function: ```python # User code def main(name: str, count: int) -> dict: return {"message": f"Hello {name}!" * count} # Executed with: arguments={"name": "World", "count": 3} # Result: {"message": "Hello World!Hello World!Hello World!"} ``` **Self-Describing Providers:** Each provider implements `get_config_schema()` returning form configuration for Admin UI **Error Handling:** Structured `ExecutionResult` with stdout, stderr, exit_code, execution_time ## Configuration Scripts Two scripts for quick Aliyun sandbox setup: **Shell Script (requires jq):** ```bash source scripts/configure_aliyun_sandbox.sh ``` **Python Script (interactive):** ```bash python3 scripts/configure_aliyun_sandbox.py ``` ## Testing ```bash # Unit tests uv run pytest agent/sandbox/tests/test_providers.py -v # Aliyun provider tests uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter.py -v # Integration tests (requires credentials) uv run pytest agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py -v # Quick SDK validation python3 agent/sandbox/tests/verify_sdk.py ``` **Test Coverage:** - 30 unit tests for provider abstraction - Provider-specific tests for Aliyun - Integration tests with real API - Security tests for executor_manager ## Documentation - `docs/develop/sandbox_spec.md` - Complete architecture specification - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration from legacy sandbox - `agent/sandbox/tests/QUICKSTART.md` - Quick start guide - `agent/sandbox/tests/README.md` - Testing documentation ## Breaking Changes ⚠️ **Migration Required:** 1. **Directory Move**: `sandbox/` → `agent/sandbox/` - Update imports: `from sandbox.` → `from agent.sandbox.` 2. **Mandatory Configuration**: - SystemSettings must have `sandbox.provider_type` configured - Removed fallback default values - Configuration must exist in database (from `conf/system_settings.json`) 3. **Aliyun Credentials**: - Requires `AGENTRUN_*` environment variables (not `ALIYUN_*`) - `AGENTRUN_ACCOUNT_ID` is now required (Aliyun primary account ID) 4. **Self-Managed Provider**: - gVisor (runsc) must be installed for security - Install: `go install gvisor.dev/gvisor/runsc@latest` ## Database Schema Changes ```python # SystemSettings.value: CharField → TextField api/db/db_models.py: Changed for unlimited config length # SystemSettingsService.get_by_name(): Fixed query precision api/db/services/system_settings_service.py: startswith → exact match ``` ## Files Changed ### Backend (Python) - `agent/sandbox/providers/base.py` - SandboxProvider ABC interface - `agent/sandbox/providers/manager.py` - ProviderManager - `agent/sandbox/providers/self_managed.py` - Self-managed provider - `agent/sandbox/providers/aliyun_codeinterpreter.py` - Aliyun provider - `agent/sandbox/providers/e2b.py` - E2B provider (placeholder) - `agent/sandbox/client.py` - Unified client (enforces DB-only config) - `agent/tools/code_exec.py` - Updated to use provider system - `admin/server/services.py` - SandboxMgr with registry & validation - `admin/server/routes.py` - 5 sandbox API endpoints - `conf/system_settings.json` - Default: aliyun_codeinterpreter - `api/db/db_models.py` - TextField for SystemSettings.value - `api/db/services/system_settings_service.py` - Exact match query ### Frontend (TypeScript/React) - `web/src/pages/admin/sandbox-settings.tsx` - Settings UI - `web/src/services/admin-service.ts` - Sandbox service functions - `web/src/services/admin.service.d.ts` - Type definitions - `web/src/utils/api.ts` - Sandbox API endpoints ### Documentation - `docs/develop/sandbox_spec.md` - Architecture spec - `agent/sandbox/tests/MIGRATION_GUIDE.md` - Migration guide - `agent/sandbox/tests/QUICKSTART.md` - Quick start - `agent/sandbox/tests/README.md` - Testing guide ### Configuration Scripts - `scripts/configure_aliyun_sandbox.sh` - Shell script (jq) - `scripts/configure_aliyun_sandbox.py` - Python script ### Tests - `agent/sandbox/tests/test_providers.py` - 30 unit tests - `agent/sandbox/tests/test_aliyun_codeinterpreter.py` - Provider tests - `agent/sandbox/tests/test_aliyun_codeinterpreter_integration.py` - Integration tests - `agent/sandbox/tests/verify_sdk.py` - SDK validation ## Architecture ``` Admin UI → Admin API → SandboxMgr → ProviderManager → [SelfManaged|Aliyun|E2B] ↓ SystemSettings ``` ## Usage ### 1. Configure Provider **Via Admin UI:** 1. Navigate to `/admin/sandbox-settings` 2. Select provider (Aliyun Code Interpreter / Self-Managed) 3. Fill in configuration 4. Click "Test Connection" to verify 5. Click "Save" to apply **Via Configuration Scripts:** ```bash # Aliyun provider export AGENTRUN_ACCESS_KEY_ID="xxx" export AGENTRUN_ACCESS_KEY_SECRET="yyy" export AGENTRUN_ACCOUNT_ID="zzz" export AGENTRUN_REGION="cn-shanghai" source scripts/configure_aliyun_sandbox.sh ``` ### 2. Restart Service ```bash cd docker docker compose restart ragflow-server ``` ### 3. Execute Code in Agent ```python from agent.sandbox.client import execute_code result = execute_code( code='def main(name: str) -> dict: return {"message": f"Hello {name}!"}', language="python", timeout=30, arguments={"name": "World"} ) print(result.stdout) # {"message": "Hello World!"} ``` ## Troubleshooting ### "Container pool is busy" (Self-Managed) - **Cause**: Pool exhausted (default: 1 container in `.env`) - **Fix**: Increase `SANDBOX_EXECUTOR_MANAGER_POOL_SIZE` to 5+ ### "Sandbox provider type not configured" - **Cause**: Database missing configuration - **Fix**: Run config script or set via Admin UI ### "gVisor not found" - **Cause**: runsc not installed - **Fix**: `go install gvisor.dev/gvisor/runsc@latest && sudo cp ~/go/bin/runsc /usr/local/bin/` ### Aliyun authentication errors - **Cause**: Wrong environment variable names - **Fix**: Use `AGENTRUN_*` prefix (not `ALIYUN_*`) ## Checklist - [x] All tests passing (30 unit tests + integration tests) - [x] Documentation updated (spec, migration guide, quickstart) - [x] Type definitions added (TypeScript) - [x] Admin UI implemented - [x] Configuration validation - [x] Health checks implemented - [x] Error handling with structured results - [x] Breaking changes documented - [x] Configuration scripts created - [x] gVisor requirements documented Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-28 13:28:21 +08:00
]
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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name = "trimesh"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
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feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
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feat: bump Python minimum from 3.12 to 3.13, drop strenum backport (#14767) Closes #14753 ## What changed | File | Change | |---|---| | `pyproject.toml` | `requires-python` → `>=3.13,<3.15`; remove `strenum==0.4.15` | | `Dockerfile` | `uv python install 3.13`, `uv sync --python 3.13` | | `.github/workflows/tests.yml` | `uv sync --python 3.13` on both matrix legs | | `CLAUDE.md` | dev setup command + requirements note updated | | `deepdoc/parser/mineru_parser.py` | `from strenum import StrEnum` → `from enum import StrEnum` | | `agent/tools/code_exec.py` | same | `StrEnum` has been in the stdlib since Python 3.11 — the `strenum` backport package is no longer needed once the floor is 3.13. ## Why uv.lock is not regenerated `uv lock --python 3.13` fails because: 1. The infiniflow/graspologic fork pins `numpy>=1.26.4,<2.0.0` 2. `tensorflow-cpu>=2.20.0` (the first release with cp313 wheels) depends on `ml-dtypes>=0.5.1`, which requires `numpy>=2.1.0` 3. These two constraints are irreconcilable on Python 3.13 The lockfile regeneration requires loosening the `numpy` upper bound in the `infiniflow/graspologic` fork. Once that fork commit is updated and the SHA in `pyproject.toml:49` is bumped, `uv lock --python 3.13` will succeed. ## RFC corrections Two claims in the original RFC (#14753) did not hold up under code review: - **"graspologic hard-blocks 3.13"** — the infiniflow fork at the pinned commit has no `<3.13` Python constraint. The blocker is the transitive `numpy<2.0.0` conflict with tensorflow-cpu's test dependency, not a direct Python version cap. - **"free-threading throughput gains for I/O-bound workload"** — Python 3.13 free-threading requires a special `--disable-gil` build and provides no benefit for async I/O code (the GIL is already released during I/O). The real motivation is forward compatibility and improved error messages.
2026-05-15 08:40:53 +02:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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[[package]]
name = "yarl"
Feat: chat channels — connect assistants to external messaging bots (#15850) ### What problem does this PR solve? #15844 Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can be exposed as a bot on external messaging platforms (Feishu/Lark, Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot in the UI, connects it to an assistant, and inbound messages are answered from that assistant's knowledge base — replies are delivered back on the channel. **Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram, LINE, and WeCom are scaffolded against the same interface; the remaining listed channels are tracked as follow-ups. ### Design **Backend** - New `chat_channel` table (`tenant_id`, `name`, `channel`, `config` JSON holding `{credential: {...}}`, `dialog_id`, `status`) + `ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`. - Channel framework under `api/channels/`: a `core` registry + per-channel packages that self-register a builder and implement a common `Channel` interface (`start`/`stop`/`send` + inbound normalization) over `IncomingMessage`/`OutgoingMessage`. - Embedded **reconcile loop** in `ragflow_server` (`api/channels/bootstrap.py`): loads enabled bots, and starts/stops/restarts them as rows change (no server restart needed). Inbound messages run the connected dialog via the non-streaming completion path, keeping per-end-user conversation history. - Missing optional channel SDKs degrade gracefully (channel skipped with a warning; others unaffected). Channel-level errors are logged, not crashed. - Feishu's WebSocket client runs in a dedicated thread with its own event loop to avoid cross-loop/contextvars conflicts with the channel runtime. **Frontend** - **Settings → Chat channels** panel: available-channels grid + configured-bots list with add/edit/delete and a **Connect assistant** popup that binds a bot to a dialog. - Brand icons via simple-icons / reused shared data-source assets, with colored fallbacks for brands not available. - Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix so the settings page no longer highlights the Chat tab. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Notes - DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id` is also covered by a `migrate_db` `alter_db_add_column` for existing installs. - Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`, `line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies. - Screenshots / per-channel credential docs to follow. <img width="1338" height="1290" alt="Image" src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704" /> <img width="1344" height="738" alt="Image" src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617" /> <img width="672" height="887" alt="Image" src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84" /> ---------
2026-06-12 18:21:30 +08:00
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