ragflow

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fix: resolve “has no attribute 'max_length'” error in keyword_extraction (#7903 )

### What problem does this PR solve?

**Issue Description:**

When using the `/api/retrieval` endpoint with a POST request and setting
the `keyword` parameter to `true`, the system invokes the
`model_instance` method from `TenantLLMService` to create a `chat_mdl`
instance. Subsequently, it calls the `keyword_extraction` method to
extract keywords.

However, within the `keyword_extraction` method, the `chat` function of
the LLM attempts to access the `chat_mdl.max_length` attribute to
validate input length. This results in the following error:

```
AttributeError: 'SILICONFLOWChat' object has no attribute 'max_length'
```

**Proposed Solution:**

Upon reviewing other parts of the codebase where `chat_mdl` instances
are created, it appears that utilizing `LLMBundle` for instantiation is
more appropriate. `LLMBundle` includes the `max_length` attribute, which
should resolve the encountered error.



### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):

2025-05-28 10:58:06 +08:00

auth

Feat: Add OAuth state parameter for CSRF protection (#7709 )

2025-05-20 09:40:31 +08:00

sdk

Fix: list out of boundary (#7843 )

2025-05-26 10:28:36 +08:00

__init__.py

Fix:When you create a new API module named xxxa_api, the access route will become xxx instead of xxxa. For example, when I create a new API module named 'data_api', the access route will become 'dat' instead of 'data (#7325 )

2025-05-20 09:39:26 +08:00

api_app.py

fix: resolve “has no attribute 'max_length'” error in keyword_extraction (#7903 )