* release/v0.3.2: (245 commits)
fix(conversation_schema): refine citations field type to Dict[str, Any]
fix(tool_controller): re-raise HTTPException to preserve original status codes
fix(workflow): add reasoning content, suggested questions, citations and audio status support
feat(workflow): augment logging queries and ameliorate error handling
fix(api_key): bypass publication check for SERVICE type API keys
fix(multimodal_service): add '文档内容：' prefix to document text and simplify image placeholder text
fix(api): convert config_id to string in write_router
fix(api): convert end_user_id to string in write_router
fix(multimodal_service): refactor image processing to use intermediate list before extending result
fix(web): node status ui
fix(api): correct import paths in memory_read and celery task command
fix(api): correct import paths in memory_read and celery task command
refactor(tool): flatten request body parameters for model exposure
fix(api): correct import paths in memory_read and celery task command
refactor(workflow): streamline node execution handling and log service logic
feat(web): http request add process
feat(web): workflow app logs
fix(app_chat_service,draft_run_service): move system_prompt augmentation before LangChainAgent instantiation
fix(app_chat_service,draft_run_service): move system_prompt augmentation before LangChainAgent instantiation
refactor(http_request): simplify request handling and remove unused fields
...
# Conflicts:
# api/app/controllers/file_controller.py
# api/app/tasks.py
- Introduce `reasoning_content`, `suggested_questions`, `citations`, and `audio_status` fields in conversation and app response schemas
- Conditionally set `audio_status` to `"pending"` only when `audio_url` is present
- Replace `model_dump` override with `@model_serializer(mode="wrap")` for cleaner serialization logic
- Change knowledge base validation failure from `RuntimeError` to warning + `continue` to avoid halting retrieval on invalid KB
- Augment log search with app type filtering to enable keyword searching within workflow_executions.
- Introduce execution sequence markers to ensure logs are displayed in the correct chronological order.
- Ameliorate error handling to capture successful node outputs alongside failure details.
- Rectify the processing of empty JSON bodies in HTTP request nodes.
- Fix relative imports in memory_read.py to use absolute app paths
- Change celery scheduler command from `python app/celery_task_scheduler.py` to `python -m app.celery_task_scheduler`
- Fix relative imports in memory_read.py to use absolute app paths
- Change celery scheduler command from `python app/celery_task_scheduler.py` to `python -m app.celery_task_scheduler`
- Fix relative imports in memory_read.py to use absolute app paths
- Change celery scheduler command from `python app/celery_task_scheduler.py` to `python -m app.celery_task_scheduler`
- Consolidate node data retrieval from workflow_executions.output_data to unify storage access.
- Optimize the construction of messages and execution records to support opening suggestions.
- Eliminate redundant queries and storage logic to simplify the overall codebase structure.
- Removed `last_request` field and related logic for storing raw request string
- Replaced `_extract_output` and `_extract_extra_fields` to use `process_data` instead of `request`
- Updated `_build_content` to directly parse JSON body without intermediate rendering step
- Modified `execute` to generate `process_data` from actual HTTP request object instead of manual string building
- Added `process_data` field to `HttpRequestNodeOutput` model for consistent debugging info
- Augment workflow logs with execution status fields and loop node information.
- Refactor log service to handle distinct processing logic for workflows and agents.
- Construct message and node logs derived from workflow_executions data.
- Pass workspace_id to multimodal_service.process_files across app_chat_service, draft_run_service
- Fetch tenant_id from workspace in multimodal_service for proper file storage scoping
- Update image placeholder format from "[第N页 第M张图片]" to "[图片 第N页 第M张图片]" for clarity
- Add strict URL preservation rules to system prompt for agents handling document images
- Refactor _save_doc_image_to_storage to accept explicit tenant_id and workspace_id instead of inferring from FileMetadata
Added `allow_download` flag to citation config and `download_url` field to citation output. Implemented `/citations/{document_id}/download` endpoint to serve original files when enabled. Removed unused `files` field and `HttpRequestDataProcessing` model from HTTP request node config.
- Rectify exception propagation during node execution failures to ensure errors are correctly raised.
- Bolster workflow logging to support failed status records and persist node execution data, including loop nodes.
- Rectify exception propagation during node execution failures to ensure errors are correctly raised.
- Bolster workflow logging to support failed status records and persist node execution data, including loop nodes.
- Rectify exception propagation during node execution failures to ensure errors are correctly raised.
- Bolster workflow logging to support failed status records and persist node execution data, including loop nodes.
Added document image extraction capability for PDF and DOCX files, including page/index metadata and storage integration. Extended `process_files` with `document_image_recognition` flag to conditionally enable vision-based image processing when model supports it. Updated knowledge repository and workflow node logic to enforce status=1 checks. Added PyMuPDF dependency.
- feat(http_request): augment debugging capabilities with raw request generation and improved error handling.
- feat(app_log): extend session filtering logic to support retrieving all session types.
- feat(log): add 'process' field to node execution records for better data tracking.
- Fix episodic memory time filter to use UTC (datetime.fromtimestamp with tz=timezone.utc)
to match Neo4j stored UTC timestamps
- Add POST /v1/memory/analytics/generate_cache endpoint for cache generation via API Key
Modified files:
- api/app/services/memory_explicit_service.py
- api/app/controllers/service/user_memory_api_controller.py
