- Fix write_router to use actual_end_user_id instead of end_user_id
- Add task status tracking via Redis in scheduler
- Expose task_id in memory write response
- Fix logging import path in scheduler
- Replace direct memory agent service calls with unified MemoryService in read endpoint
- Update query preprocessor to use new prompt format and return structured queries
- Enhance MemorySearchResult model with filtering, merging, and ID tracking capabilities
- Add intermediate outputs display for problem split, perceptual retrieval, and search results
- Fix parameter alignment and remove unused history parameter in memory agent service
The changes remove the `ConditionGroup` abstraction and flatten condition expressions directly under `ConditionBranchConfig.expressions`. This simplifies the data model and evaluation logic, eliminating redundant grouping layers while preserving all functionality. The migration logic and group-level operators are removed as they are no longer needed.
BREAKING CHANGE: `ConditionBranchConfig.expressions` now expects a flat list of `ConditionDetail` instead of `ConditionGroup`; existing configurations must be updated to use direct condition lists.
Change list.append() to list.insert(0, ...) in extract_user_metadata_task so that newly extracted user metadata values appear at the front of each field list, maintaining a newest-first ordering.
Added support for evaluating conditions on individual fields of file objects within array[file] variables. Extended variable pool to extract fields from array elements, introduced new condition models (SubVariableConditionItem, SubVariableCondition, ConditionGroup), and added ArrayFileContainsOperator to handle contains/not_contains logic with nested sub-conditions. Includes backward compatibility migration for legacy flat expressions.
- Remove redundant `response_format` injection for VOLCANO provider since it's unsupported; rely on system prompt injection instead
- Extend system prompt JSON injection logic to cover VOLCANO and tool-enabled cases universally
- Simplify model parameter construction by removing redundant `params["model_kwargs"] = model_kwargs` assignments
- Refactor `CompatibleChatOpenAI._get_request_payload` to strip `response_format` when tools are present, avoiding strict validation errors in langchain_openai
- Fix timestamp calculation order in `datetime_tool.py` to avoid integer truncation before multiplication
Split reset_agent_config into two independent methods for getting and resetting model parameters
Add functionality to read quota configuration from environment variables to the default free tier
- Consolidate memory search services by removing separate content_search.py and perceptual_search.py
- Update model client handling in base_pipeline.py to use ModelApiKeyService for LLM client initialization
- Add new prompt files and modify existing services to support consolidated search architecture
- Refactor memory read pipeline and related services to use updated model client approach
Add a public subscription plan list endpoint that can be accessed without authentication. Enhance the returned subscription plan information fields, including multi-language support and default free plan fallback logic. Additionally, implement automatic model binding for the knowledge base service.
- Use Literal['set', 'remove'] for MetadataFieldChange.action instead of str
- Simplify field_path description to reflect current schema
- Remove redundant isinstance check in extract_user_metadata_task
- Replace UserMetadata full-object overwrite with incremental MetadataFieldChange
operations (set/remove per field path)
- Convert profile.role and profile.domain from scalar strings to lists
- Remove UserMetadataBehavioralHints and knowledge_tags fields
- Update Jinja2 prompt to instruct LLM to output incremental changes
- Update extract_user_metadata_task to apply changes via deep-copy and
per-field mutation for proper SQLAlchemy change detection
- Minor lint: remove unnecessary f-string prefixes in tasks.py
- Consolidate memory search services by removing separate content_search.py and perceptual_search.py
- Update model client handling in base_pipeline.py to use ModelApiKeyService for LLM client initialization
- Add new prompt files and modify existing services to support consolidated search architecture
- Refactor memory read pipeline and related services to use updated model client approach
When deleting an API Key, check if the associated model configuration has other active keys; if not, automatically set it to inactive.
Also optimize the model configuration query method to support multi-type queries and add sorting conditions.
* release/v0.3.0: (44 commits)
Revert "fix(web): prompt editor"
fix(web): prompt editor
fix(prompt-optimizer): handle escaped quotes in JSON parsing
fix(custom-tools): remove parameter coercion in custom tool base class
fix(core): conditionally apply thinking parameters based on model support
refactor(custom-tools): coerce query and request body parameters to schema types
fix(prompt-optimizer): support list content type in prompt optimizer
refactor(memory): unify user placeholder names and harden alias sync logic
fix(rag): replace semicolon separators with newlines in Excel parser output
fix(web): Compatible with Windows whitespace
fix(memory): make PgSQL the single source of truth for user entity aliases
refactor(rag): simplify Excel parsing logic and remove redundant chunk_token_num assignment
fix(web): Hide error message when workflow node error message equals empty string
ci(wechat-notify): add Sourcery summary extraction with Qwen fallback
fix(http-request,embedding,naive): tighten form-data validation, reduce truncation length to 8000, and disable chunking for Excel
fix(web): adjust the value of End User Name
fix(http-request): support array and file variables in form-data files upload
fix(web): change http body key name
fix(web): header user name
fix(web): calculate using the filtered breadcrumbs length
...
# Conflicts:
# web/src/views/UserMemoryDetail/Neo4j.tsx
# web/src/views/UserMemoryDetail/components/EndUserProfile.tsx
# web/src/views/UserMemoryDetail/types.ts
- Add `default_free_plan.py` to define the configuration for the Community Free Plan.
- Refactor `quota_stub.py` as a unified entry point, delegating checks to `core/quota_manager`.
- Implement core logic in `quota_manager.py` to support retrieving quotas from the premium module or configuration files.
- Update `tenant_subscription_controller` to return Community Free Plan information.
