### Summary
Add Xquik as a new data source for X (Twitter) post ingestion. Supports Latest/Top queries, cursor pagination, incremental sync, and maps engagement/media to RAGFlow documents. Stops duplicate requests on repeated cursors. Tests and docs included.
---------
Co-authored-by: kriptoburak <kriptoburak@users.noreply.github.com>
Adds Azure DevOps as a new data source, syncing repository files and pull requests. Supports both hosted and self-hosted. Excludes wikis, work items, and binaries. Includes checkpoint/resume, change detection via commit IDs, and handles Azure's quirky 203 auth response. Tests passed against real deployment.
### Summary
Fix add_message so API-key callers can pass user_id (previously ignored because Python checked a Go-only flag). Now uses g.auth_type == AUTH_API. JWT/session callers stay bound to the authenticated principal. Tests added; backward compatible.
### Summary
Closes#17848.
This replaces #17958 with a smaller implementation focused on the
original requirement. The previous PR gradually expanded beyond the
necessary scope; the optional custom endpoint extension is intentionally
excluded from this version.
- Add request-scoped Bedrock API key authentication to the Python
Bedrock adapters and Go chat runtime.
- Discover and persist models available to API key instances, so users
do not need to manually enter the model type, model name, or maximum
token count.
- Add API Key mode to the existing Bedrock settings UI and refresh the
model and default-model lists after instance changes.
- Preserve selected models during credential-only updates while keeping
the existing SigV4 authentication modes unchanged.
- Return a clear error for unsupported API-key reranking.
- Document instance-scoped authentication and short-term API key
guidance.
configurations.md and backup_and_migration.md cross-linked each other
via /migration#... and /configurations#s3-tigris. These host-absolute
paths match no route on the docs site (real pages live under
/administrator/...) and 404 on GitHub. Point them at the sibling
markdown files so both Docusaurus and GitHub can resolve them; the
existing anchors are preserved.
---------
Co-authored-by: jindou <jindou@local>
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
### Summary
Adds You.com as a built-in Web Search provider for RAGFlow Chat,
alongside Tavily and Querit, using the provider-neutral dispatch #17813
put in place. No changes to existing Tavily or Querit behaviour.
You.com runs its own web index and returns several extracted passages
per result rather than a single meta description, so retrieved chunks
arrive with usable context.
---------
Co-authored-by: Brian Sparker <brainsparker@users.noreply.github.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
### Summary
This PR adds [Serply](https://serply.io) as a third web search provider
for chat assistants, alongside the existing Tavily and Querit options.
### What problem does this PR solve?
- Update version tags in README files (including translations) from
v0.26.4 to v0.27.0
- Modify Docker image references and documentation to reflect new
version
- Update version badges and image descriptions
- Maintain consistency across all language variants of README files
### Type of change
- [x] Documentation Update
Two dead internal links found by auditing every docs link against the
current file tree:
1. **docs/faq.mdx (3 occurrences)**: points to
`./guides/run_health_check.md`, which was removed in #12363 because the
system web page is disabled since v0.22.0 and health checking is now
covered by the API. The links now point to the "Check system health"
section of the HTTP API reference (`/api/v1/system/healthz`).
2. **docs/references/http_api_reference.md**: the custom-parameter note
links to `../guides/agent/agent_component_reference/begin.md`, but that
directory was replaced by `agent_workflow/`. Updated to
`../guides/agent/agent_workflow/basic_component.md`, which documents the
Begin component.
### Summary
Closes#18019.
Pigsty renamed its community MinIO fork from `pgsty/minio` to
`pgsty/silo` on 2026-08-06 ([announcement in the repo
README](https://github.com/pgsty/silo#readme)). `pgsty/minio` is frozen
at `RELEASE.2026-08-04T00-00-00Z` — all further releases, including
security fixes, ship as `pgsty/silo`. RAGFlow still pins the old name,
so it is now parked on an image that no longer gets updates.
### Summary
Brings both halves of the Tenki sandbox provider onto current SDKs and
removes `project_id`, which Tenki deleted from its API.
**Go:** `github.com/LuxorLabs/tenki-sdk-go/sandbox` `v0.5.2` → `v0.7.0`
(current latest).
**Python:** the provider's SDK was renamed on PyPI — `tenki-sandbox` is
frozen at 0.4.0 and everything from 0.5 ships as
[`tenki`](https://pypi.org/project/tenki/). The docs told operators to
`pip install tenki-sandbox`, which installs a stale SDK that no longer
matches this provider's expectations.
**`project_id` is gone.** Tenki removed project scoping from the sandbox
API in 0.5.x: `Client.create()` no longer accepts `project_id`, so the
current code path would raise `TypeError` against a current SDK. It was
also marked `required: True` in the config schema, so the Admin >
Sandbox Settings form asked for a value that no longer exists.
## What
This pull request adds **MWS GPT Model Hub** as a built-in model
provider in RAGFlow.
The integration allows users to configure an MWS project endpoint and
token, discover the models available to that project, and use supported
MWS models for chat completion, embeddings, and reranking.
Co-authored-by: ilarionov_n <ilarionov_n@promis.ru>
### What problem does this PR solve?
Fixes#17623 by updating the retrieval API response example to use
`dataset_id`, matching the actual `POST /api/v1/retrieval` response
field and the implementation mapping from internal `kb_id`.
Co-authored-by: Codex <codex@openai.com>
### Summary
Adds a `tenki` sandbox provider that runs each agent code execution in a
disposable Tenki (https://tenki.cloud) microVM (create → exec → destroy,
no volumes or snapshots).
Registration mirrors PR #15039, configure `api_key` and `project_id` in
Admin > Sandbox Settings.
Both runtimes are covered:
- Python: `agent/sandbox/providers/tenki.py` (structured results +
artifact collection).
- Go: `internal/agent/sandbox/tenki.go`, mirroring the e2b provider and
wired into the provider manager.
`tenki-sandbox` is an optional dependency (it requires `protobuf>=6.31`,
which differs from RAGFlow's pinned gRPC stack), lazily imported with a
clear error when missing; installation is documented in the sandbox
quickstart.
Unit tests cover execution, structured results, artifacts
(symlink/size/extension limits), non-zero exit, timeout, error mapping,
and idempotent destroy.
---------
Co-authored-by: yiming.wang <yiming.wang@luxor.com>
## Summary
GreenPT is a European AI provider with an OpenAI-compatible API,
optimized infrastructure, and datacenters powered by 100% renewable
energy.
This adds native GreenPT support across RAGFlow’s Go-first provider
system and its Python compatibility layer:
- discovers the current catalog from `GET /v1/models`
- features `glm-5.2` and `kimi-k2.7-code` for chat and coding
- supports `green-embedding` through `/v1/embeddings`
- supports `green-rerank` through `/v1/rerank`
- supports `green-s` and `green-s-pro` speech-to-text through
`/v1/listen`
- adds provider configuration, UI icon, and supported-provider
documentation
### Summary
This PR adds **aimlapi.com** as a model provider, so a RAGFlow user can
enter one API key in the model settings and use AIMLAPI's models across
the app. AIMLAPI ([aimlapi.com](https://aimlapi.com)) is an
OpenAI-compatible aggregator that serves 700+ models (LLM, embedding,
vision, TTS, ASR) from many providers behind a single API.
The change mirrors the repo's existing "add provider" pattern (e.g.
FuturMix / OpenRouter): provider logic lives in the same files those
providers use, and shared / UI files get only registration entries.
**Backend**
- `conf/llm_factories.json` — the `aimlapi.com` factory entry.
- `rag/llm/__init__.py`, `rag/llm/{chat,embedding,cv}_model.py` —
LiteLLM adapters (chat, embedding, image2text) with a production base
URL, overridable via `AIMLAPI_API_URL`.
- `rag/llm/model_meta.py` — an `AIMLAPI` model-meta so the provider
lists its full `/v1/models` catalog dynamically (classified by the
endpoint `type`), the same way OpenRouter does.
- `api/apps/restful_apis/aimlapi_api.py` — an optional "Get API key"
flow using AIMLAPI's agent-authorization (OAuth 2.0 Device Authorization
Grant, RFC 8628). The device code is kept server-side (Redis); only the
issued key reaches the browser.
**Frontend (`web/`)**
- Provider registration (constant, icon allowlist, brand logo), the
model picker (`LIST_MODEL_PROVIDERS` + a `buildLocalConfig` entry), and
the "Get API key" button in the provider dialog. Locales added to `en`
and `zh`.
**Configuration** — production defaults are compiled in; endpoints and
the partner id are overridable through `AIMLAPI_*` environment
variables, so the same build works across environments.
**Testing** — the `web` build passes; chat, embedding and dynamic model
listing were smoke-tested against the live API.
### Summary
Most files in `docs/guides/agent/agent_component_reference/` are `.mdx`,
but `begin` and
`message` are `.md`. Four links use the `.mdx` extension for those two,
so Docusaurus cannot
resolve the reference and they render as broken links.
Co-authored-by: Muhammad Zuhaib Zahid <288755265+muhzuhaib@users.noreply.github.com>
### Summary
Adds FunASR as a self-hosted speech-to-text provider through its
OpenAI-compatible `/v1/audio/transcriptions` endpoint.
This is a focused replacement for #15526 by @Rene0422 and relates to
#15448. The unrelated Markdown parser changes from the previous branch
are intentionally removed so this PR contains only the FunASR provider
integration.
- register FunASR as a `SPEECH2TEXT` factory;
- add `FunASRSeq2txt` with `sensevoice` and `http://localhost:8000/v1`
defaults, an optional API key, URL normalization, and inherited
transcription handling;
- wire FunASR into the current local-provider schema with a prefilled
local URL and official documentation link;
- discover the server's `/v1/models` dynamically and expose every
returned model as speech-to-text in the model picker;
- use RAGFlow's existing default provider icon fallback instead of
referencing a missing `funasr` asset;
- list FunASR in the supported-provider documentation;
- add focused backend and frontend regression tests.
### Validation
- focused backend pytest suite -> `7 passed`
- real CPU `funasr-server` + RAGFlow provider smoke test -> discovered
`fun-asr-nano`, `sensevoice`, and `paraformer`; transcribed a real WAV
as `我现在在录一段测试音频` (`10` tokens, `0.504s`)
- `ruff check` and `ruff format --check` on the changed Python files
- `python3 -m py_compile` on the provider and its test
- JSON parse and a semantic assertion for exactly one enabled FunASR
`SPEECH2TEXT` factory
- focused frontend Jest test -> `2 passed`
- ESLint and Prettier on all changed TypeScript files
- `npm run build` -> production build succeeded (`14,181` modules
transformed)
- `git diff --check`
### Deployment
Run FunASR separately and point the RAGFlow provider at it:
```bash
pip install funasr
funasr-server --device cuda --model sensevoice
```
The API key remains optional because the stock local server does not
require authentication. A key can still be supplied when the endpoint is
protected by a gateway.
---------
Signed-off-by: LauraGPT <LauraGPT@users.noreply.github.com>
Co-authored-by: LauraGPT <LauraGPT@users.noreply.github.com>
