- 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?
Add SMTP support for user invitation emails
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Improve the logic so that it does not decode base 64 for the test image
each time
### Type of change
- [x] Refactoring
- [x] Performance Improvement
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
### 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?
Replace the placeholder test image in base64_image.py with a new sample
image data string.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Supports jsonl or ldjson format. Feature request from
[discussion](https://github.com/orgs/infiniflow/discussions/8774).
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
- Update BaseModel to use model_config instead of Config class
- Replace StrEnum with Literal types for method fields
- Convert Field declarations to Annotated style
### Type of change
- [x] Refactoring
### What problem does this PR solve?
Obfuscates additional secrets values on ragflow_server startup to
prevent leakage:
* `secret` (azure)
* `client_secret` (oauth)
* `http_secret_key` (authentication)
* `sas_token` (azure)
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
Co-authored-by: Gifford R Nowland <gifford.r.nowland@aero.org>
### What problem does this PR solve?
- Extended embedding model timeout from 3 to 10 seconds in api_utils.py
- Added more time for large file batches and concurrent parsing
operations to prevent test flakiness
- Import from #8940
- https://github.com/infiniflow/ragflow/actions/runs/16422052652
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
- Update `get_parser_config` to merge provided configs with defaults
- Add GraphRAG configuration defaults for all chunk methods
- Make raptor and graphrag fields non-nullable in ParserConfig schema
- Update related test cases to reflect config changes
- Ensure backward compatibility while adding new GraphRAG support
- #8396
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Updated the default `chunk_token_num` value in `api_utils.py` and
`validation_utils.py` to 512 to accommodate larger text chunks. Adjusted
corresponding test cases in HTTP and SDK API tests to reflect this
change.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add MCP dashboard functionalities list_tools and test_tool.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Previous:
- Defaulted to hardcoded model 'BAAI/bge-large-zh-v1.5@BAAI'
- Did not respect user-configured default embedding_model
Now:
- Correctly prioritizes user-configured default embedding_model
Other:
- Make embedding_model optional in CreateDatasetReq with proper None
handling
- Add default embedding model fallback in dataset update when empty
- Enhance validation utils to handle None values and string
normalization
- Update SDK default embedding model to None to match API changes
- Adjust related test cases to reflect new validation rules
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add MCP server dashboard operations.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
#8391#8404
### 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?
- Remove pagerank from CreateDatasetReq and add to UpdateDatasetReq
- Add pagerank update logic in dataset update endpoint
- Update API documentation to reflect changes
- Modify related test cases and SDK references
#8208
This change makes pagerank a mutable property that can only be set after
dataset creation, and only when using elasticsearch as the doc engine.
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
This PR introduces Pydantic-based validation for the list datasets HTTP
API, improving code clarity and robustness. Key changes include:
Pydantic Validation
Error Handling
Test Updates
Documentation Updates
### Type of change
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
Try the best to repair corrupted PDF files on upload automatically.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
This PR introduces Pydantic-based validation for the delete dataset HTTP
API, improving code clarity and robustness. Key changes include:
1. Pydantic Validation
2. Error Handling
3. Test Updates
4. Documentation Updates
### Type of change
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
Fix HTTP API Create/Update dataset parser config default value error
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
This PR introduces Pydantic-based validation for the update dataset HTTP
API, improving code clarity and robustness. Key changes include:
1. Pydantic Validation
2. Error Handling
3. Test Updates
4. Documentation Updates
5. fix bug: #5915
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
change create dataset delimiter default value to r'\n'
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Remove unnecessary parameter restrictions in dataset creation API
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
This PR introduces Pydantic-based validation for the create dataset HTTP
API, improving code clarity and robustness. Key changes include:
1. Pydantic Validation
2. Error Handling
3. Test Updates
4. Documentation
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
- [x] Refactoring
### What problem does this PR solve?
In the generate_confirmation_token method, a spelling error was found
with 'tenent_id'. The correct spelling should be 'tenant_id'.
### 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):
Co-authored-by: shengliang xiao <shengliangxiao2024@gmail.com>
### 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)
### What problem does this PR solve?
add openai agent
_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._
### Type of change
- [ ] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [ ] Other (please describe):
---------
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
- Introduce the `check_duplicate_ids` function in `dataset.py` and
`doc.py` to check for and handle duplicate IDs.
- Update the deletion operation to ensure that when deleting datasets
and documents, error messages regarding duplicate IDs can be returned.
- Implement the `check_duplicate_ids` function in `api_utils.py` to
return unique IDs and error messages for duplicate IDs.
### What problem does this PR solve?
Close https://github.com/infiniflow/ragflow/issues/6234
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: wenju.li <wenju.li@deepctr.cn>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
