### What problem does this PR solve?
#15844
Adds a **Chat channels** capability so a RAGFlow assistant (Dialog) can
be exposed as a bot on external messaging platforms (Feishu/Lark,
Discord, Telegram, Slack, WeCom, LINE, etc.). An admin configures a bot
in the UI, connects it to an assistant, and inbound messages are
answered from that assistant's knowledge base — replies are delivered
back on the channel.
**Feishu/Lark is implemented and tested end-to-end.** Discord, Telegram,
LINE, and WeCom are scaffolded against the same interface; the remaining
listed channels are tracked as follow-ups.
### Design
**Backend**
- New `chat_channel` table (`tenant_id`, `name`, `channel`, `config`
JSON holding `{credential: {...}}`, `dialog_id`, `status`) +
`ChatChannelService` and RESTful CRUD under `/api/v1/chat_channels`.
- Channel framework under `api/channels/`: a `core` registry +
per-channel packages that self-register a builder and implement a common
`Channel` interface (`start`/`stop`/`send` + inbound normalization) over
`IncomingMessage`/`OutgoingMessage`.
- Embedded **reconcile loop** in `ragflow_server`
(`api/channels/bootstrap.py`): loads enabled bots, and
starts/stops/restarts them as rows change (no server restart needed).
Inbound messages run the connected dialog via the non-streaming
completion path, keeping per-end-user conversation history.
- Missing optional channel SDKs degrade gracefully (channel skipped with
a warning; others unaffected). Channel-level errors are logged, not
crashed.
- Feishu's WebSocket client runs in a dedicated thread with its own
event loop to avoid cross-loop/contextvars conflicts with the channel
runtime.
**Frontend**
- **Settings → Chat channels** panel: available-channels grid +
configured-bots list with add/edit/delete and a **Connect assistant**
popup that binds a bot to a dialog.
- Brand icons via simple-icons / reused shared data-source assets, with
colored fallbacks for brands not available.
- Route, sidebar entry, i18n (en/zh), and a top-nav segment-boundary fix
so the settings page no longer highlights the Chat tab.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### Notes
- DB: new `chat_channel` table is auto-created; `chat_channel.dialog_id`
is also covered by a `migrate_db` `alter_db_add_column` for existing
installs.
- Channel SDKs (`lark-oapi`, `discord.py`, `python-telegram-bot`,
`line-bot-sdk`, `wechatpy`, `aiohttp`) added to dependencies.
- Screenshots / per-channel credential docs to follow.
<img width="1338" height="1290" alt="Image"
src="https://github.com/user-attachments/assets/042cb2f9-0dad-4e6a-bcf7-43ced4bbd704"
/>
<img width="1344" height="738" alt="Image"
src="https://github.com/user-attachments/assets/373cd08e-ec40-4c67-9c51-4d948b1ba617"
/>
<img width="672" height="887" alt="Image"
src="https://github.com/user-attachments/assets/5a34953f-a9a3-4c1e-869e-5eff0dc64c84"
/>
---------
### What problem does this PR solve?
Fix: chat/agent -- Default avatar is not displaying correctly.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
The Profile **Name** field currently lacks application-level validation
and allows users to save excessively long names and unsupported special
characters.
While the database enforces a maximum length of 100 characters, neither
the frontend nor backend validates nickname format before persistence.
This can result in inconsistent user data, poor user experience, and UI
layout issues when long names wrap across multiple lines.
This PR introduces consistent frontend and backend validation for
profile names, enforces length and character constraints, provides clear
validation feedback, and prevents invalid values from being saved.
Fixes#15693
### Type of change
* [x] Bug Fix (non-breaking change which fixes an issue)
## Summary
Improves the responsiveness of the User Settings layout by converting
the left navigation sidebar into a compact icon-only rail on mobile
devices.
Previously, the sidebar retained its full desktop width on narrow
viewports, reducing the available space for settings content and making
pages such as **Data Sources** difficult to use on phones and smaller
tablets.
With this change:
- Desktop layouts retain the existing full sidebar experience
- Mobile layouts (<768px) display a compact 64px icon-only navigation
rail
- Main content receives significantly more horizontal space
- Navigation and logout actions remain fully accessible on mobile
## Type of Change
- [x] Bug fix
## Screenshots
| Before | After |
|---------|---------|
| <img width="557" height="760" alt="image"
src="https://github.com/user-attachments/assets/fb0d6a90-2d57-464c-90c6-9097418c7c13"
/> | <img width="557" height="760" alt="image"
src="https://github.com/user-attachments/assets/8db36d0f-7070-41e1-b7b2-0fe9d0cceefb"
/> |
## What Changed
### Mobile Sidebar Optimization
- Added responsive mobile behavior using `useIsMobile()`
- Displays avatar and navigation icons only on mobile
- Hides user email, navigation labels, version information, theme
switcher, and logout text on smaller screens
- Preserves navigation and logout functionality through icon actions
### Layout Improvements
- Updated settings page grid layout to use fixed sidebar widths:
- Mobile: `4rem` (64px)
- Desktop: `303px`
- Uses `minmax(0, 1fr)` for the content panel to prevent overflow and
allow proper shrinking
- Prevents sidebar width from expanding based on content
## Impact
- Improves usability of User Settings pages on phones and small tablets
- Increases available space for settings content
- Reduces horizontal crowding and overflow issues
- Maintains the existing desktop experience
## Test Plan
### Desktop (≥768px)
- Verify the full sidebar is displayed
- Confirm email, navigation labels, version information, theme switch,
and logout text are visible
- Ensure all navigation items function correctly
### Mobile (<768px)
- Verify the sidebar collapses to a 64px icon-only rail
- Confirm main content remains readable without horizontal crowding
- Verify navigation icons route correctly:
- Data Sources
- Model Providers
- MCP
- Team
- Profile
- API
- Confirm logout works from the icon button
### Verification
- Run `npm run build`
- Hard refresh when testing production or Docker deployments
- Verify responsive behavior using browser device emulation
### What problem does this PR solve?
- Add `web/src/locales/ko.ts` with full Korean translation (~3100 keys)
- Register `Ko = 'ko'` in `LanguageAbbreviation` enum (`common.ts`)
- Add `[LanguageAbbreviation.Ko]: '한국어'` to `LanguageAbbreviationMap`
- Add lazy-load entry in `web/src/locales/config.ts`
- Add `korean` key to all existing locale files (`ja`, `id`, `es`,
`pt-br`, `vi`, `zh-traditional`)
- Fix duplicate enum value `FileMimeType.Mdx` (`'text/markdown'` →
`'text/mdx'`)
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Other (please describe): Korean (한국어) i18n translation + fix
duplicate FileMimeType.Mdx enum value
### What problem does this PR solve?
Fix: Remove the pagination from the search and retrieval pages.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
## Summary
Fixes [#15585](https://github.com/infiniflow/ragflow/issues/15585).
- Route markdown preview through the shared `request` client (same as
txt/image previewers) so `Authorization` headers and interceptors are
applied consistently.
- Add a unit test covering `AUTH_BETA` token loading for embedded search
auth.
## Root cause
Search result preview for `.md`/`.mdx` used raw `fetch`, which did not
apply the same auth path as other preview types. That led to `401` on
`GET /api/v1/documents/{id}/preview` even when the user was logged in or
using an embedded search `auth` query param.
## Test plan
- [ ] Log in, run a search, open a markdown citation link — preview
loads (no 401).
- [ ] Open an embedded shared search URL with `auth` query param,
preview a markdown file — preview loads.
- [ ] Confirm PDF/txt preview still works in the same search UI.
---------
Co-authored-by: MkDev11 <89318445+bitloi@users.noreply.github.com>
Co-authored-by: Wang Qi <wangq8@outlook.com>
### What problem does this PR solve?
When embedding a chatbot, the API returned `"Model Name is required"`.
The embed widget now includes the assistant's `llm_id` as `model_name`
in the completion request.
### Type of change
- [x] Bug Fix
### How has this been tested?
- Created a chatbot with a default model.
- Embedded it and sent a message – the error is gone and the assistant
replies correctly.
### Related Issue
Closes#15883
Co-authored-by: RAGFlow Dev <dev@ragflow.local>
Co-authored-by: Wang Qi <wangq8@outlook.com>
### What problem does this PR solve?
Fix: The regular expression configuration for pipeline header-based
chunking will be reset.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: add image2text/speech2text/ocr support
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: add thin scrollbar styling for x-spreadsheet component
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: The dataset retrieval test returned an incorrect total number.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: balibabu <assassin_cike@163.com>
### What problem does this PR solve?
Set OpenDataLoader and call in parser and naive
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix: rename ark_api_key to api_key for volcengine provider config
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: Fix some model provider-related UI issues
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: The variables in the Visual Input File of the agent operator are
not displayed.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
feat: support custom editing for model list
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix: An error message appears when accessing the agent's launch page:
"pagesize exceeds maximum value".
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: balibabu <assassin_cike@163.com>
### What problem does this PR solve?
fix: resolve issue where some models do not use modelInfo parameter
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: Add a waiting status to the messages on the chat page.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix: Resolve error when checking pipeline parsing result
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Fixes#15413
### What problem does this PR solve?
In **Settings → Model providers**, the *Available models* panel lets you
filter
providers by model type (All, LLM, Embedding, Rerank, TTS, ASR, VLM, …),
but the
filter tags gave no hint of how many providers fall under each type.
Users had to
click a tag to find out, and an empty category looked identical to a
populated one.
This PR adds a count to each filter tag in `AvailableModels`:
- The **All** tag shows the total number of providers currently listed.
- Each model-type tag shows how many providers offer that model type.
- Counts respect the active search term, so the badge always matches the
number of
cards shown once that tag is selected.
- Each provider is counted once per model type (deduplicated via a
`Set`), so a
provider that lists the same type more than once isn't double-counted.
Counts are rendered with `tabular-nums` for stable width and dimmed via
`opacity-60`
so they read as secondary to the label. No API changes; the existing
filter logic is
untouched — this is purely an additive UI affordance.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
feat：Unify the 'Add Model Provider' modal
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
### What problem does this PR solve?
Fix: The embedded website floating component on the agent page does not
display citations.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: The time zone is not displayed on the personal profile page.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: When adding a chat in the main interface, a warning will
automatically pop up (even if embedding and LLM model have already been
configured).
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Closes#15461.
RAGFlow had no way to ingest Salesforce CRM data, so support / sales
teams couldn't ground responses on live Accounts, Contacts,
Opportunities, Cases, or Knowledge articles. This adds a first-class
Salesforce data source connector that authenticates against a Connected
App via OAuth 2.0 client-credentials, queries selected SObjects via
SOQL, and turns each record into an indexable document with incremental
sync.
**Highlights**
- `common/data_source/salesforce_connector.py`: new
`SalesforceConnector` (`CheckpointedConnectorWithPermSync` +
`SlimConnectorWithPermSync`).
- OAuth 2.0 client-credentials flow; canonical `instance_url` from the
token response so multi-pod orgs route correctly.
- Per-object `SystemModstamp` cursor stored in
`SalesforceCheckpoint.cursors` — a failure mid-object doesn't rewind
sibling objects, and re-syncs only fetch changed rows.
- Deterministic record-to-text formatter (sorted keys) so SOQL field
reordering on the server doesn't mark every row "changed" on each poll.
- `_get_json` raises on non-2xx so 429 / 5xx never silently advance the
checkpoint past missing data.
- `Knowledge__kav` is in the default object set but is skipped silently
when the org doesn't have Salesforce Knowledge enabled (404 on
describe).
- Slim-doc IDs are scoped as `<Object>/<Id>` so prune deletes can't
collide across object types.
- `common/constants.py`, `common/data_source/config.py`,
`common/data_source/__init__.py`: register `salesforce` in `FileSource`
/ `DocumentSource` and export `SalesforceConnector`.
- `rag/svr/sync_data_source.py`: new `Salesforce(SyncBase)` class routed
through `load_from_checkpoint` (poll_source would re-walk every object
each run) and added to `func_factory`.
- Frontend:
- `web/src/pages/user-setting/data-source/constant/index.tsx`: new
`DataSourceKey.SALESFORCE`, form fields (instance URL, client ID/secret,
objects, api_version, batch size), `syncDeletedFiles` capability,
default form values, and tile entry with the new icon.
- `web/src/locales/{en,zh}.ts`: description + per-field tooltips.
- `web/src/assets/svg/data-source/salesforce.svg`: 48x48 brand-style
icon to match the other Microsoft / cloud tiles.
**Verification**
- `npm run build` (vite + esbuild) passes (1m 26s).
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Closes#15465.
RAGFlow supports S3, Google Cloud Storage, R2, and OCI as data sources
but not Azure Blob Storage, leaving Azure users without a way to index
container objects into a knowledge base. This adds a first-class Azure
Blob Storage data-source connector — distinct from RAGFlow's existing
Azure storage *backends* (`rag/utils/azure_sas_conn.py`,
`rag/utils/azure_spn_conn.py`) which store RAGFlow's own files.
**Highlights**
- `common/data_source/azure_blob_connector.py`: new `AzureBlobConnector`
(`CheckpointedConnectorWithPermSync` + `SlimConnectorWithPermSync`).
- Uses the existing `azure-storage-blob` dependency (already in
`pyproject.toml`).
- Three auth modes, tried in order of precedence:
1. **Account key** — `account_name` + `account_key` + `container_name`.
2. **Connection string** — `connection_string` + `container_name`.
3. **SAS token** — `container_url` + `sas_token` (same shape as
`RAGFlowAzureSasBlob`).
- ETag fingerprint stored per blob in `AzureBlobCheckpoint.etags` —
unchanged blobs (same ETag as last run) are skipped without a download.
Only new/modified blobs are fetched.
- Optional `prefix` scopes indexing to a virtual folder.
- `validate_connector_settings()` probes `get_container_properties()`
and maps `AuthenticationFailed / 403 / ContainerNotFound` to typed
connector exceptions.
- Slim-doc IDs are blob names so prune reconciles correctly.
- `common/constants.py`, `common/data_source/config.py`,
`common/data_source/__init__.py`: register `azure_blob` in `FileSource`
/ `DocumentSource` and export `AzureBlobConnector`.
- `rag/svr/sync_data_source.py`: new `AzureBlob(SyncBase)` class routed
through `load_from_checkpoint` (ETag fingerprint owns change-detection)
and added to `func_factory`.
- Frontend:
- `web/src/pages/user-setting/data-source/constant/index.tsx`: new
`DataSourceKey.AZURE_BLOB`, auth-mode selector (account key / connection
string / SAS token), all credential fields, prefix + batch-size,
`syncDeletedFiles` capability, default form values, tile entry with
icon.
- `web/src/locales/{en,zh}.ts`: description + per-field tooltips for all
9 new keys.
- `web/src/assets/svg/data-source/azure-blob.svg`: Azure-branded
stacked-cylinders icon.
**Verification**
- `npm run build` (vite + esbuild) passes (37 s).
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
Implement the `GET /api/v1/agents/<agent_id>/versions/<version_id>`
endpoint in Go, returning full version details including DSL.
Depends on #15629 which introduced the version list endpoint and
`UserCanvasVersionDAO` infrastructure.
### Changes
- **Modified**: `internal/handler/agent.go` — Added `GetAgentVersion`
handler with auth check and ownership verification
- **Modified**: `internal/router/router.go` — Registered `GET
/:agent_id/versions/:version_id` route
- **New/Modified tests**: Service and handler tests for the version
detail endpoint
### Testing
```
=== RUN TestGetVersion_Success --- PASS
=== RUN TestGetVersion_WrongCanvas --- PASS
=== RUN TestGetVersion_NotFound --- PASS
=== RUN TestGetAgentVersionHandler_Success --- PASS
=== RUN TestGetAgentVersionHandler_VersionNotFound --- PASS
```
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
### What problem does this PR solve?
This change ensures `/searchbots/ask` receives `search_id` from the
frontend, so the backend can load the matching search configuration when
the shared search flow invokes the endpoint.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: Switching pagesize on a chunk page did not reset the current page.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: Model provider add verify and fixed form in modal not resetting
issue
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix:
- Handle siliconflow and siliconflow_intl api_key
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Closes#15379
Around 29 Go model providers in `internal/entity/models/` share an
`http.Client` configured with `Timeout: 120 * time.Second`, and reuse
that same client for `ChatStreamlyWithSender`. Go's
`http.Client.Timeout` is a hard ceiling on the whole request that also
covers reading the response body, so it behaves as a wall clock on
streaming. Any streamed chat response that lasts longer than 120 seconds
gets cut off in the middle with a timeout error. Long generations,
reasoning model outputs, and slow or overloaded upstreams are the common
victims.
The providers that already behave correctly (`groq`, `mistral`,
`voyage`, `anthropic`) set no client `Timeout` and instead wrap each
request in a `context.WithTimeout`. This change converges the affected
providers onto that same pattern.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Feature: #14961
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
### What problem does this PR solve?
Fix auto metadata type issue
https://github.com/infiniflow/ragflow/issues/15323
Type information is missing at frontend - backend correctly store the
type information for the auto metadata type.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
