The form-data validation now ensures all items in the list are of type HttpFormData. Truncation length for embedding inputs is reduced from 8191 to 8000 to accommodate tokenizer differences and avoid overflow. Excel parsing now disables chunking by setting chunk_token_num to 0, aligning with intended behavior for structured file ingestion.
- Updated form-data handling to accept both single FileVariable and ArrayVariable containing FileVariable for file uploads
- Fixed HTTP client redirect handling by enabling follow_redirects=True when downloading remote files
- Adjusted config validation to correctly require list type for form-data fields instead of HttpFormData class
Change image_url from required to optional in both operation_tool.py and
tool_service.py for image_understand operation, avoiding parameter validation
conflict with uploaded_files priority logic.
Remove unused operation variable from OpenClawTool.execute().
- Make MetadataExtractor language param optional (default None) to
support auto-detection fallback when no language is explicitly set
- Refactor clean_metadata from walrus-operator dict comprehension to
explicit loop for correctness and readability
- Remove _replace_first_person_with_user from StatementExtractor to preserve
original user text for downstream metadata/alias extraction
- Delete metadata_utils.py module, inline clean_metadata into Celery task
- Remove unused imports and commented-out collect_user_raw_messages method
- Apply formatting cleanup across metadata models and extraction orchestrator
- Merge alias add/remove into MetadataExtractionResponse and Celery metadata task,
removing the separate sync step from extraction_orchestrator
- Replace first-person pronouns ("我") with "用户" in statement extraction to
preserve identity semantics for downstream metadata/alias extraction
- Update extract_statement.jinja2 prompt to enforce "用户" as subject for user
statements instead of resolving to real names
- Add alias change instructions (aliases_to_add/aliases_to_remove) to
extract_user_metadata.jinja2 with incremental merge logic
- Deduplicate special entities ("用户", "AI助手") in graph_saver by reusing
existing Neo4j node IDs per end_user_id
- Sync final aliases from PgSQL to Neo4j user entity nodes after metadata write
OperationTool wraps builtin tools for multi-operation support but did not
forward set_runtime_context, causing OpenClawTool to miss uploaded_files
and conversation_id when used with operation routing.
The knowledge graph retrieval logic in `search.py` was updated to consistently return `DocumentChunk` instances instead of raw dictionaries, improving type safety and alignment with the RAG pipeline's expected data structure. Additionally, debug logging was enhanced in `draft_run_service.py` to log the full `retrieve_chunks_result` before extracting page content, aiding troubleshooting.
Create OpenClawTool class inheriting BuiltinTool with dedicated config
Remove all x-openclaw special handling from CustomTool (~270 lines)
Add multi-operation support (print_task, device_query, image_understand, general)
Change ensure_builtin_tools_initialized to incremental mode for auto-provisioning
Fix OperationTool and LangchainAdapter to support OpenClaw operation routing
- Use safe .get() for server URL to avoid KeyError
- Support both api_key and token in connection test auth
- Add OpenAI/Volcano image format (image_url) support
- Add aiohttp import in _test_openclaw_connection
- Detect x-openclaw flag in OpenAPI schema and init dedicated config
- Implement multimodal input/output (image download, compress, base64)
- Add OpenClaw connection test and status validation in tool service
- Fix auth_config token check to support both api_key and bearer_token
- Inject runtime context (user_id, conversation_id, files) in chat services
The pdfplumber parser now uses a global lock to prevent concurrent access issues during PDF image rendering. Additionally, added a warning log to trace knowledge retrieval results for debugging purposes. The syntax fix in knowledge node's match case ensures correct pattern matching behavior.
BREAKING CHANGE: The pdfplumber parser now requires LOCK_KEY_pdfplumber to be defined in sys.modules for thread safety.
Closes#841
- Remove merge_metadata and its helper functions from metadata_utils.py
- Pass existing_metadata to MetadataExtractor.extract_metadata() as LLM context
- Add merge instructions to extract_user_metadata.jinja2 prompt (zh/en)
- Update Celery task to read existing metadata before extraction and overwrite
- Simplify field descriptions in UserMetadataProfile model
- Add _update_timestamps helper to track changed fields
- Replace version-based optimistic locking and retry loop with apoc.atomic.add/insert for concurrent safety
- Merge duplicate accesses within a batch before updating (access_count_delta)
- Simplify _calculate_update to only compute on new timestamps instead of full history rebuild
- Remove max_retries instance variable (kept as param for backward compat)
- Trim verbose docstrings and inline comments
- Increase max_retries from 3 to 5 for concurrent conflict recovery
- Add randomized exponential backoff between retries to reduce contention
- Merge duplicate node accesses in batch operations to avoid self-conflicts
- Support access_times parameter for merged batch access counting
- Add Community node label support in atomic update content field map
- Strengthen anti-hallucination rules in extract_triplet prompt to
enforce verbatim-only alias extraction, removing suggestive examples
- Add _extract_deduped_entity_aliases to sync historical aliases from
Neo4j two-stage dedup into PgSQL end_user_info
- Remove unused _fetch_neo4j_user_aliases; reuse injected connector
instead of instantiating new Neo4jConnector
- Simplify _would_merge_cross_role and reuse clean_cross_role_aliases
in _normalize_special_entity_names
- Reuse _USER_PLACEHOLDER_NAMES from dedup module to avoid duplication
- Extract fetch_neo4j_assistant_aliases() into deduped_and_disamb.py as
single source of truth, replacing inline Cypher in write_tools and
extraction_orchestrator
- Normalize USER_PLACEHOLDER_NAMES to lowercase and apply .lower() on
all comparisons to prevent case-variant names leaking into aliases
- Extract user aliases from raw dialog statements instead of post-dedup
entities to bypass merge pollution
- Add alias cross-cleaning step in _normalize_special_entity_names to
strip AI assistant aliases from user entities before dedup
- Call clean_cross_role_aliases after second-layer dedup to handle
historical dirty data merged from Neo4j
- Fix syntax error in prompt_utils.py (ontology_types variable assignment)
