- Add TODO comment to verify end_user sources (chat, draft, apikey)
- Comment out release validation check to support draft run mode
- Add TODO note explaining temporary fix for draft execution
- Handle null current_release_id in result by returning None instead of failing
- Improve import formatting for MemoryConfig model import statement
- Allow configuration retrieval when app has no published release
* release/v0.2.6:
fix(web): ontology class default tag bugfix
fix(version): Version 0.2.6 Release Notes
fix(web): chat file delete bugfix
feat: support model load balancing and add message_id to API responses
feat: support model load balancing and add message_id to API responses
[changes] Work space isolation
[add] Recently, memory activities have adopted Redis caching.
[changes] Work space isolation
[add] Recently, memory activities have adopted Redis caching.
fix(web): upload add loading
[changes] The enumeration check has been changed to a string.
[changes] The enumeration check has been changed to a string.
feat(web): http-request add headers variable
fix(workflow): ensure file messages are written to messages in non-stream mode
fix(workflow): fix Dify compatibility issues
[changes] Memory write completion active failure interest cache
feat(workflow): support multimodal context
[changes] AI review and correction of code
[add] Semantic pruning is unified with the ontology engineering scenario.
feat(chat): add message_id field to chat API response
1. From the model square to the model list, the added models are initially set to be inactive. When manually activating them, a mandatory API key configuration is required.
2. Copying of applications (agent, workflow, multi_agent)
1. Increase support for visual models and multimodal models;
2. The application and workflow can input various multimodal files such as images, documents, audio, and videos.
* [fix] Revising the judgment method for the interest analysis tags
* [fix] Revising the judgment method for the interest analysis tags
* [add] Set cache for the distribution of interest tags
* [fix] Revising the judgment method for the interest analysis tags
* [add] Set cache for the distribution of interest tags
* [changes] 1.Use structured logs;
2.Align the type and default value of "end_user_id" with the semantic meaning of "required".
- Update ShortService and LongService constructors to accept db Session parameter for proper dependency injection instead of using module-level db instance
- Reorganize imports in memory_short_term_controller.py following PEP 8 conventions (stdlib, third-party, local imports)
- Add comprehensive docstrings with type hints to ShortService and LongService methods for better code documentation
- Fix import organization in memory_short_service.py to group related imports and improve readability
- Reorganize imports in user_memory_service.py to follow consistent import ordering patterns
- Update ShortService instantiation in analytics_memory_types to pass db parameter
- Remove module-level db instance initialization in favor of caller-managed database session lifecycle
- Add type annotations to method signatures (end_user_id: str, db: Session, return types)
- Improve code formatting and spacing consistency across memory service files
