### Summary
As title
- [x] fix tool & component `Retrieval KB`
- [x] fix agent cannot use `Retrieval KB` in agent chat
#### Main cause
Model provider do not set up:
```Go
if chatModelConfig.Tools != nil {
reqBody["tools"] = chatModelConfig.Tools
}
```
#### Working Now
<img width="3774" height="2128" alt="image"
src="https://github.com/user-attachments/assets/400a349d-0211-43e5-a7ec-7a014acf77a6"
/>
```
____________________________________
< This PR takes me all day to do it. >
------------------------------------
\
\ (\__/)
(•ㅅ•)
/ づ
```
### Summary
We have updated our model driver to work with go.
It is based on OpenAI-API-Compatible model provider.
Draft
#15519
Our old model provider
#13425
## Summary
- return the input form collected by
`DataOperationsComponent.GetInputForm`
- add a regression test covering system variables, component outputs,
and duplicate references
### Summary
1. Add hooks for server init
2. Add hooks for router init
3. Add jaeger and otel related config
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Ports two Python fixes to Go: the variable_ref_patt underscore/colon fix
(#16792) and the TokenChunker upstream-chunks fix (#16825). Keeps Go
behavior aligned with upstream Python.
### Summary
In Go and python implementation, the dataset / KB id isn't validated if
it is accessible by this user.
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### Summary
```
RAGFlow(admin)> show version;
+--------------+-----------------------+
| field | value |
+--------------+-----------------------+
| version | v0.26.4-84-g547bc8614 |
| version_type | open source |
+--------------+-----------------------+
```
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
## Summary
- Align Go WenCai and SearXNG behavior, schemas, and node parameters
with Python.
- Add the `WenCai` and `SearXNG` Canvas components and register their
tool factories.
- Match Python's current WenCai behavior by returning an empty report
while its upstream request is disabled.
- Add SearXNG request validation, SSRF-safe DNS pinning, raw result
preservation, and reference rendering.
- Support context cancellation, error envelopes, and lock-safe retrieval
references.
## Tests
Passed:
- `bash build.sh --test ./internal/agent/tool/...`
- `bash build.sh --test ./internal/agent/component/...`
- `bash build.sh --test ./internal/agent/runtime/...`
- `bash build.sh --test ./internal/agent/...`
- `cd web && npm run type-check`
<img width="1900" height="1102" alt="image"
src="https://github.com/user-attachments/assets/ec77d217-d9fd-455a-96ec-9aabf6841109"
/>
<img width="1900" height="1102" alt="image"
src="https://github.com/user-attachments/assets/52ac129f-cb65-453d-ae48-cc518803ac23"
/>
## Summary
- Add the GitHub Canvas component with tool registration and reference
propagation.
- Align the Invoke component with the Python contract for node config,
input form, response output, and timing fields.
- GitHub search and HTTP Invoke now work correctly in the Go Canvas
runtime.
## Tests
- `bash build.sh --test ./internal/agent/tool/...`
- `bash build.sh --test ./internal/agent/component/...`
Note: the untracked go_ragflow_cli file is not part of the PR changes.
<img width="1813" height="1102" alt="image"
src="https://github.com/user-attachments/assets/f69cef32-59a0-4287-a06b-6843d85198cf"
/>
<img width="1813" height="1102" alt="image"
src="https://github.com/user-attachments/assets/b37dfc31-bc9b-4937-a38e-d2184bb157fe"
/>
## Summary
- register the Go `ArXiv` canvas component and add its input form
- align the Go ArXiv request/schema with Python by keeping only `query`
in runtime args and moving `top_n`/`sort_by` to node params
- keep ArXiv results consistent for canvas output and tool response
handling
## Test
- `bash build.sh --test ./internal/agent/tool
./internal/agent/component`
<img width="1817" height="972" alt="image"
src="https://github.com/user-attachments/assets/7f726dfa-a996-4561-b481-cb0b44bec81c"
/>
### Summary
1. update docker compose file to start NATS healthy
2. Add two commands
```
RAGFlow(admin)> live;
SUCCESS
RAGFlow(admin)> health;
+---------------+-------+
| field | value |
+---------------+-------+
| storage | ok |
| message_queue | ok |
| status | ok |
| db | ok |
| redis | ok |
| doc_engine | ok |
+---------------+-------+
```
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### Summary
```
RAGFlow(admin)> show users plan quota 100;
+---------+------------------------------------------+
| field | value |
+---------+------------------------------------------+
| quota | 100 |
| command | show_users_plan_quota |
| error | 'Show users plan quota' is not supported |
+---------+------------------------------------------+
```
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
## Summary
- Register Wikipedia component + tool alias
`wikipedia`/`wikipedia_search`
- Use `generator=search` to get title/summary/url in one request (was
N+1)
- Node params `top_n`/`language` with validation
- Return `formalized_content` for downstream
- tests pass
<img width="1817" height="972" alt="image"
src="https://github.com/user-attachments/assets/f6d79599-6d1f-4ea6-84f7-ac06d0de13b0"
/>
Two refactors on the Go port (agent-go-port):
- Remove the dead per-tenant canvas runtime selector (write-only Redis
scaffolding with no runtime callers) and its dependent metrics/admin
code.
- Move the tokenizer embedding-model id from the shared ingestion
globals into a Tokenizer-scoped setup, and wire the production embedder
resolver in the ingestion task package.
32 files changed, 861 insertions, 1228 deletions.
## Summary
- align the Go Google Scholar component with the Python-side config
pattern
- merge node-level params with runtime inputs so canvas defaults are
preserved and per-run inputs can override them
- add tests covering node param fallback and runtime override behavior
## Verification
- `bash build.sh --test ./internal/agent/component/... -run
TestGoogleScholar`
<img width="1873" height="1165" alt="image"
src="https://github.com/user-attachments/assets/67198c6f-6a0e-43bf-a500-8e88d82b8751"
/>
