### What problem does this PR solve?
Make RAGFlow more asynchronous 2. #11551, #11579, #11619.
### Type of change
- [x] Refactoring
- [x] Performance Improvement
### What problem does this PR solve?
Make RAGFlow more asynchronous 2. #11551, #11579, #11619.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
- [x] Performance Improvement
### What problem does this PR solve?
Try to make this more asynchronous. Verified in chat and agent
scenarios, reducing blocking behavior. #11551, #11579.
However, the impact of these changes still requires further
investigation to ensure everything works as expected.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
1. Update RetCode to common.constants
2. Decouple the admin and API modules
### Type of change
- [x] Refactoring
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
1. Rename identifier name
2. Fix some return statement
3. Fix some typos
### Type of change
- [x] Refactoring
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Add get_uuid, download_img and hash_str2int into misc_utils.py
### Type of change
- [x] Refactoring
---------
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
### What problem does this PR solve?
Revert back to chat.completions.
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [x] Other (please describe):
Revert back to chat.completions.
### What problem does this PR solve?
Fix broken imports
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Signed-off-by: jinhai <haijin.chn@gmail.com>
### What problem does this PR solve?
Fix: resolve hash collisions by switching to UUID &correct logic for
always-true statements, solved: #10165
Feat: Update GPT api integration, solved: #10204
Feat: Support qianwen-deepresearch, solved: #10163
### 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?
An exception happens if you give session_id to agent_open_ai completion.
Because session_id is being given as well as **req so it tries to send
session_id twice. But also the logic seemed odd on picking one of
session_id, id, metadata.id. So cleaned it up a little.
See #10111
### Type of change
- [X] 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 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?
Add embedded search functionality.
### 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?
Update broken create agent session due to v0.20.0 changes. #9383
**NOTE: A session ID is no longer required to interact with the agent.**
See: #9241, #9309.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- Add type and boundary checks for conv["reference"] access
- Prevent KeyError: 0 when reference list is empty or malformed
- Ensure reference is list type before indexing
- Handle cases where reference items are None or missing chunks
- Maintains backward compatibility with existing data structures
This resolves crashes in /api/v1/agents/<agent_id>/sessions endpoint
when conversation reference data is not properly structured.
### What problem does this PR solve?
This PR fixes a critical `KeyError: 0` that occurs in the
`/api/v1/agents/<agent_id>/sessions` endpoint when the system attempts
to access conversation reference data that is not properly structured.
**Background Context:**
The `list_agent_session` method in `api/apps/sdk/session.py` assumes
that `conv["reference"]` is always a properly indexed list with valid
dictionary structures. However, in real-world scenarios, this data can
be:
- Not a list type (could be None, string, or other types)
- An empty list when `chunk_num` tries to access index 0
- Contains None values or malformed dictionary structures
- Missing expected "chunks" keys in reference items
**Impact Before Fix:**
When malformed reference data is encountered, the API crashes with:
```json
{
"code": 100,
"data": null,
"message": "KeyError(0)"
}
```
**Solution:**
Added comprehensive safety checks including type validation, boundary
checking, null safety, and structure validation to ensure the API
gracefully handles all reference data formats while maintaining backward
compatibility.
### 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):
### What problem does this PR solve?
Revert token_required decorator of agent_bot completions and inputs.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
### What problem does this PR solve?
Update broken agent completion due to v0.20.0 changes. #9199
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
#9232
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
1. When creating a new session, initialize an empty reference that
includes both the app api and sdk API.
2. Fix the logic when retrieving references for historical messages: the
number of dialogue messages and reference messages may differ, but it
should match the number of assistant messages.
Co-authored-by: Li Ye <liye@unittec.com>
### What problem does this PR solve?
Add industry-related search keyword generation function
- When generating search keywords, support for specific industries has
been added
- If the "industry" parameter is provided, industry-specific
restrictions will be added to the prompt
- This change can help users generate more precise search keywords
within specific industries
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
#9082#6365
<u> **WARNING: it's not compatible with the older version of `Agent`
module, which means that `Agent` from older versions can not work
anymore.**</u>
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
OpenAI-compatible-API supports references.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
stack:
```
2025-06-26 17:22:24,739 ERROR 1609 list index out of range
Traceback (most recent call last):
File "/ragflow/.venv/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request
rv = self.dispatch_request()
File "/ragflow/.venv/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]
File "/ragflow/api/utils/api_utils.py", line 298, in decorated_function
return func(*args, **kwargs)
File "/ragflow/api/apps/sdk/session.py", line 472, in list_session
print(conv["reference"][message_num])
IndexError: list index out of range
```

### Type of change
- [ ] 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):
### What problem does this PR solve?
Close#7655
Based on the codes atthe api_app, I think the reference is one-to-one
with the message
`
def fillin_conv(ans):
nonlocal conv, message_id
if not conv.reference:
conv.reference.append(ans["reference"])
else:
conv.reference[-1] = ans["reference"]
conv.message[-1] = {"role": "assistant", "content": ans["answer"], "id":
message_id}
ans["id"] = message_id
`
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
The old logic filters out all assistant messages from messages, which,
in multi-turn conversations, results in only user messages being
retained. This leads to an error in locally deployed models:
Conversation roles must alternate user/assistant/user/assistant/...
### 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):
### What problem does this PR solve?
This PR introduces **primitive support for function calls**,
enabling the system to handle basic function call capabilities.
However, this feature is currently experimental and **not yet enabled
for general use**, as it is only supported by a subset of models,
namely, Qwen and OpenAI models.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)