## Summary
Add support for **"New API"** as a model provider, enabling connection
to [New API](https://github.com/QuantumNous/new-api) /
[one-api](https://github.com/songquanpeng/one-api) compatible gateways
that aggregate multiple LLM backends behind a unified OpenAI-compatible
`/v1` endpoint.
### Features
- **All model types**: Chat, Embedding, Rerank, Image2Text, TTS,
Speech2Text
- **List Models discovery**: `NewAPI(OpenAIAPICompatible)` class in
`model_meta.py` queries the gateway's `/v1/models` to auto-discover
available models via the native `GET /api/v1/providers/<name>/models`
endpoint
- **Model parameter editing**: Pencil icon on each discovered model row
to edit `model_type`, `max_tokens`, and `features` (e.g. tool call
support) before submitting
- **Custom model addition**: "Add Custom Model" button at the bottom of
the List Models dropdown for models not returned by the API
- **Gear icon settings**: Enabled the Settings gear button on provider
instances to manage models on existing instances (viewMode)
- **viewMode credential passthrough**: Fixed List Models in viewMode —
merges `initialValues` credentials when `api_key`/`base_url` fields are
hidden by `hideWhenInstanceExists`
### Changes
**Backend** (8 files):
- `rag/llm/chat_model.py` — `NewAPIChat(Base)` class
- `rag/llm/embedding_model.py` — `NewAPIEmbed(OpenAIEmbed)` class (no
auto `/v1` append)
- `rag/llm/rerank_model.py` — `NewAPIRerank(Base)` class (uses `/rerank`
endpoint)
- `rag/llm/cv_model.py` — `NewAPICv(GptV4)` class
- `rag/llm/tts_model.py` — `NewAPITTS(OpenAITTS)` class
- `rag/llm/sequence2txt_model.py` — `NewAPISeq2txt(GPTSeq2txt)` class
- `rag/llm/model_meta.py` — `NewAPI(OpenAIAPICompatible)` class for List
Models discovery
- `conf/llm_factories.json` — New API factory entry with all model type
tags
**Frontend** (8 files + 1 new SVG):
- `web/src/assets/svg/llm/new-api.svg` — New API logo icon
- `web/src/constants/llm.ts` — `LLMFactory.NewAPI` enum + `IconMap`
entry
- `web/src/components/svg-icon.tsx` — `NewAPI` added to `svgIcons`
-
`web/src/pages/user-setting/setting-model/modal/provider-modal/field-config/local-llm-configs.ts`
— New API `buildLocalConfig`
-
`web/src/pages/user-setting/setting-model/modal/provider-modal/constants.ts`
— `LIST_MODEL_PROVIDERS` includes NewAPI
- `web/src/pages/user-setting/setting-model/components/used-model.tsx` —
Enable Settings gear button
-
`web/src/pages/user-setting/setting-model/modal/provider-modal/hooks/use-list-models-picker.ts`
— viewMode credential merge + model editing state/handlers
-
`web/src/pages/user-setting/setting-model/modal/provider-modal/hooks/use-list-models-options.tsx`
— Pencil edit icon per model row
-
`web/src/pages/user-setting/setting-model/modal/provider-modal/index.tsx`
— `AddCustomModelDialog` import + edit dialog rendering
**Note on Go implementation**: A Go model driver (`NewAPIModel`
delegating to `OpenAIModel`) has been prepared but is deferred until the
Go runtime is enabled in a future release (current v0.26.0 images use
`API_PROXY_SCHEME=python` and do not compile Go binaries). Will submit
as a follow-up PR.
## Related
- Depends on: #15996 (provider instance API improvements — server-side
credential lookup, idempotent `add_model`, security fixes — required for
viewMode gear icon and batch model submission)
## Test plan
- [ ] Add New API provider with api_key and base_url pointing to an
OpenAI-compatible gateway
- [ ] Click "List Models" — should discover and display available models
from `/v1/models`
- [ ] Click pencil icon on a model — should open edit dialog to change
model_type, max_tokens, features
- [ ] Select multiple models and click OK — should add all selected
models
- [ ] Click gear icon on the added instance — should open viewMode with
List Models working
- [ ] In viewMode, select new models including pre-existing ones, click
OK — should succeed (requires #15996)
- [ ] Verify all model types work: create a Chat assistant, Embedding
KB, Rerank setting
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Tim Wang <wanghualoong@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Adds Keenable as a web search tool in the agent, alongside the existing
Tavily/DuckDuckGo/SearXNG/Google tools.
The main difference from the other search tools is that it doesn't
require an
API key. By default it uses Keenable's keyless public endpoint, so it
works out
of the box. Providing a key (in the tool config) switches to the
authenticated
endpoint and lifts the rate limits.
### Changes
- Backend: `agent/tools/keenable.py` — `KeenableSearch`, follows the
Tavily/DuckDuckGo tool shape (results go through `_retrieve_chunks`).
Auto-registered by `agent/tools/__init__.py`.
- Frontend: wired into the agent builder — operator + icon, config form
(optional API key, search mode, site filter, top N), the search tool
menu,
and the existing api_key export sanitizer.
### Config
- API key: optional. Blank = keyless free tier; set it to lift limits /
enable
`realtime` mode.
- `site`: restrict to a single domain.
- `mode`: `pro` (default) or `realtime`.
### Notes
`KEENABLE_API_URL` can override the API base (HTTPS enforced; defaults
to
`https://api.keenable.ai`). The tool only sends the query (no URL
fetch), so
there's no SSRF surface. Verified the frontend with `vite build` and the
backend search path against the public endpoint.
### What problem does this PR solve?
This PR follows up on
[#15863](https://github.com/infiniflow/ragflow/pull/15863) (Korean i18n)
with translation refinements and i18n coverage for hardcoded strings
found in the UI.
- Refine awkward Korean phrasing (e.g. 'Chunk 만들기' → 'Chunk 생성', '유형' →
'타입', etc.)
- Apply i18n to hardcoded strings in `message-item`,
`next-message-item`, `multi-select`, `chat-prompt-engine`, and various
filter hooks
- Rename `use-selelct-filters.ts` → `use-select-filters.ts` (typo fix)
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
## Summary
Several keys added in recent releases were missing from the French
(`fr.ts`) locale file.
- **`top`** — missing in both the common section and the dataset section
- **Chat channels** — all UI strings for the new chat channels feature
(`chatChannels`, `chatChannelDesc.*`, `connectDialog`, `notConnected`,
etc.)
- **Username validation** — `usernameMaxLength`,
`usernameInvalidCharacters`
- **Model editing** — `editCustomModelTitle`
## Changes
- `web/src/locales/fr.ts` — 47 lines added, no other files touched
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Closes#15139.
The "+ Add" flow in the Set/Edit Metadata modal posted updates with an
empty value, so backend saves were silent no-ops and the document's "X
fields" count stayed at 0 despite a "Success" toast.
The value `<Input>` updates `tempValues` synchronously per keystroke but
only writes through to `metaData.values` on blur (via
`handleValueBlur`). When the user clicks the nested modal's Confirm
button without first blurring, the click handler races the blur and
`handleSave` closes over the pre-blur `metaData.values` — still the
initial `['']`. `addUpdateValue` then queues an empty-string update; the
auto-fire save sends it, and after `resetOperations()` the outer Save
button posts `updates: []`.
Read from `tempValues` instead so the queued update carries the typed
value.
Regression test in `tests/use-manage-values-modal.test.ts` asserts that
`handleSave` passes the typed value (not the pre-blur empty string) to
`addUpdateValue` in the add-new code path.
### What does this PR do?
This PR adds a new DingTalk chat channel integration and hardens the
inbound callback path.
### Summary
- Adds DingTalk as a selectable chat channel in the UI and backend
channel registry.
- Adds the DingTalk chat channel icon asset.
- Acknowledges DingTalk Stream callbacks and deduplicates repeated
inbound messages to avoid duplicate replies.
The pipeline file log detail hook (`useFetchPipelineFileLogDetail`) was
calling the legacy `kbService.getPipelineDetail({ log_id })` endpoint,
which does not match the current RESTful API contract. The backend now
expects both `datasetId` and `logId` to construct the correct URL (`GET
/api/v1/datasets/{datasetId}/ingestions/{logId}`).
### What problem does this PR solve?
Adds qqbot as a built-in chat channel so it can be discovered and
started by the channel bootstrapper and shown in the chat channel
settings UI.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix: The pipeline created from the template fails immediately upon
execution.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix: misc frontend fixes for agent log, login, search settings
- agent-log: restore server-side pagination on export and search;
replace hardcoded labels with i18n keys; switch container to
text-text-primary
- login: validate register nickname against NICKNAME_PATTERN with
reusable setting i18n
- next-search: align llm_setting schema with chat (LlmSettingFieldSchema
+ LLMIdFormField nested, LlmSettingEnabledSchema at form
root) so the slider Switch reads the correct path; strip *Enabled flags
before submit to avoid backend "Unrecognized field name"
errors
- locales: add common.reset (zh/en)
- skills/go-naming: fix relative link to rules/named.md
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix: The .docx file is not displaying fully; the hierarchy of the
pipeline created from the template is missing.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Show Telegram in the chat channel picker alongside the existing Discord
and Feishu entries.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Replaces the Python agent canvas runtime with a Go implementation that
runs inside `cmd/server_main`.
The canvas compiles into an eino Workflow that pauses on wait-for-user
via native Interrupt/Resume (no sentinel flag) and resumes from a
Redis-backed CheckPointStore.
All 21 Python agent components and ~35 tools are ported with functional
parity.
Sandbox providers now read their JSON config from the admin-panel
system_settings table with env fallback.
234 files / +35,413 / -6,111. All Go files are gofmt-clean (CI gate
added); drops the v2 DSL E2E step and the gap-analysis plan (both
redundant after the port ships).
## Type of change
- [x] Refactoring
- [x] New feature
- [x] Bug fix
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude <noreply@anthropic.com>
### What problem does this PR solve?
Fix: Importing the MCP dialog causes duplicate submissions.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
## Summary
Migrate PaddleOCR integration from the deprecated synchronous HTTP API
to the new asynchronous Job API (`submit → poll → fetch`), aligning with
PaddleOCR 3.6.0+ architecture.
## Changes
### Python (`deepdoc/parser/paddleocr_parser.py`)
- Replace synchronous `requests.post()` with async Job API flow (submit
→ poll → fetch)
- Authentication: `token {token}` → `Bearer {token}`
- File transfer: base64 JSON body → multipart file upload
- Polling: exponential backoff (initial 3s, ×1.5, max 15s, timeout
controlled by `request_timeout`)
- Result: fetch full JSONL from result URL, preserving `prunedResult`
with bbox info for crop functionality
- Rename `api_url` → `base_url` (backward compatible: `api_url` still
accepted as fallback)
### Python (`rag/llm/ocr_model.py`)
- Prefer `paddleocr_base_url` / `PADDLEOCR_BASE_URL`, fallback to
`paddleocr_api_url` / `PADDLEOCR_API_URL`
### Go (`internal/entity/models/paddleocr.go`)
- Add `Client-Platform: ragflow` header to submit and poll requests
- Change polling from fixed 3s to exponential backoff (initial 3s, ×1.5,
max 15s)
### Python (`common/constants.py`)
- Add `PADDLEOCR_BASE_URL` to env keys and default config
## Backward Compatibility
- Old env var `PADDLEOCR_API_URL` still works (used as fallback)
- Frontend field `paddleocr_api_url` still works (backend reads it as
fallback)
- No user-facing configuration changes required for existing setups
## Why not use the `paddleocr` SDK package directly?
RAGFlow's `_transfer_to_sections()` relies on `prunedResult` (containing
`block_bbox`, `block_label`, `parsing_res_list`) from the raw API
response for PDF crop functionality. The SDK's public `parse_document()`
API only returns `DocParsingResult` with `markdown_text`, discarding the
bbox data. Therefore we implement the async Job API flow directly via
HTTP, following the same logic as the SDK internally.
## Summary
- The `ChatChannel` DB column was renamed from `dialog_id` to `chat_id`
via a migration (added in a prior commit).
- Aligns the REST API layer (`chat_channel_api.py`,
`chat_channel_service.py`) to use `chat_id` consistently.
- Updates the frontend (`interface.ts`, `hooks.ts`,
`connect-dialog-modal.tsx`, `added-channel-card.tsx`) to read/write
`chat_id` instead of `dialog_id`.
- The joined `dialog_name` alias in the list query is unchanged (backend
still returns it under that name).
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
### What problem does this PR solve?
fix: remove unnecessary 'asChild' prop from FilterButton component
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix: remove unnecessary div in profile page layout
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix: update channelTemplates to filter for Discord and Lark only
- Fixed a display issue with chunks during pipeline parsing.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
fix: update localization keys for image2text and add ocr option
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
## What
- Add `group` class to wrapper div to enable hover state coordination
- Apply hover styles to checkbox via group-hover
- Make FormLabel clickable via onClick toggle + cursor-pointer
- Fix label color logic: disabled vs primary state
## Why
The "Remember me" label was not clickable and had no hover feedback,
making the UX inconsistent with standard checkbox behavior.
## How to test
0. Go to the demo video before/after attached below
1. Go to the login page
2. Click directly on the "Remember me" label → should toggle the
checkbox
3. Hover over the checkbox area → should show hover styles
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
## Before
https://github.com/user-attachments/assets/bd47d45c-09ea-437f-bd98-3397ce040c1e
## After
https://github.com/user-attachments/assets/45c65d1a-bec7-4ad6-8f1c-d149f7296f8f
### What problem does this PR solve?
Feat: Move less important chat settings into a collapsible panel.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
