### What problem does this PR solve?
Limit pipeline operation logs to 1000 records.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add support for deleting KB tasks.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add initial support for Mindmap.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### What problem does this PR solve?
Fetch KB config for GraphRAG and RAPTOR.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add foundational support for RAPTOR dataset pipeline logs.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add foundational support for GraphRAG dataset pipeline logs
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Add support for pipeline logs operation
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
### What problem does this PR solve?
- Dataflow support email.
- Fix old email parser.
- Add new depends to parse msg file.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [x] Other (please describe): add new depends.
### What problem does this PR solve?
Refine dataflow and initialize dataflow app.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
-Added the metadata_dedition parameter in the document retrieval
interface to filter document metadata -Updated the API documentation and
added explanations for the metadata_dedition parameter
### What problem does this PR solve?
Make /api/v1/retrieval api also can use metadata filter
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix wrong chunk number while re-parsing document and keeping original
chunks
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### What problem does this PR solve?
During the chat, the assistant's response cited documents outside the
current knowledge base。
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add `canvas_category` field for UserCanvas and CanvasTemplate.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- Add robust serialize_for_json() function to handle non-serializable
objects
- Update server_error_response() to safely serialize exception data
- Update get_json_result() with fallback error handling
- Handles ModelMetaclass, functions, and other problematic objects
- Maintains proper JSON response format instead of server crashes
Fixes#9797
### What problem does this PR solve?
Currently, error responses and certain result objects may include types
that are not JSON serializable (e.g., ModelMetaclass, functions). This
causes server crashes instead of returning valid JSON responses.
This PR introduces a robust serializer that converts unsupported types
into string representations, ensuring the server always returns a valid
JSON response.
### Type of change
- [] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Unify reference format of agent completion and OpenAI-compatible
completion API.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
Revert broken agent completion by #9631.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
This PR fixes a critical bug in the session listing endpoint where the
application crashes with an `AttributeError` when processing chunk data
that contains non-dictionary objects.
**Error before fix:**
```json
{
"code": 100,
"data": null,
"message": "AttributeError(\"'str' object has no attribute 'get'\")"
}
```
**Root cause:**
The code assumes all items in the `chunks` array are dictionary objects
and directly calls the `.get()` method on them. However, in some cases,
the chunks array contains string objects or other non-dictionary types,
causing the application to crash when attempting to call `.get()` on a
string.
**Solution:**
Added type validation to ensure each chunk is a dictionary before
processing. Non-dictionary chunks are safely skipped, preventing the
crash while maintaining functionality for valid chunk data.
This fix improves the robustness of the session listing endpoint and
ensures users can retrieve their conversation sessions without
encountering server errors due to data format inconsistencies.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
When create conversation,the prologue hasn't save in conversation.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix Multiple conversations cause the reference list to grow indefinitely
due to Python's mutable default argument behavior.
Explicitly initialize reference as empty list when creating new sessions
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix search app AI summary ERROR: 'dict' object has no attribute 'split'.
#9649
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Resolve#9549 and #9436 , In v0.20.x,Agent completions API changed a
lot,such as without reference and so on
### Type of change
- [x] Refactoring
### What problem does this PR solve?
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### What problem does this PR solve?
When the `dataset_ids` parameter is omitted in the **update assistant**
request, Passing an empty array `[]` triggers a misleading
message"Dataset use different embedding models", while omitting the
field does not.
To fix this, we:
- Provide a default empty list: `ids = req.get("dataset_ids", [])`.
- Replace the `is not None` check with a truthy check: `if ids:`.
**Files changed**
`api/apps/sdk/chat.py`
- L153: `ids = req.get("dataset_ids")` → `ids = req.get("dataset_ids",
[])`
- L156: `if ids is not None:` → `if ids:`
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
In 0.19.0 reference is list,and it should be a list,otherwise last
conversation's reference will be lost
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
