- 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.
- Augment HTTP request node capabilities and add generated curl commands for easier debugging.
feat(log): implement workflow execution logs and search functionality
- Add detailed logging for workflow node execution and enable search capabilities within application logs.
feat(auth): introduce middleware to verify application publication status
- Add a check to ensure the application is published before allowing access.
fix(converter): rectify variable handling logic in Dify converter
- Correct issues related to processing variables within the Dify converter module.
refactor(model): remove quota check decorator from model update operations
- Decouple quota validation from the model update process to streamline the logic.
- Refactor quota management logic to support usage checks scoped by workspace.
- Update quota statistics API to return granular quota details for each workspace.
- Revise default configuration settings for terminal user and model limits.
- Remove quota check decorators from the model controller.
- Refactor quota management logic to support usage checks scoped by workspace.
- Update quota statistics API to return granular quota details for each workspace.
- Revise default configuration settings for terminal user and model limits.
- Remove quota check decorators from the model controller.
- Refactor quota management logic to support usage checks scoped by workspace.
- Update quota statistics API to return granular quota details for each workspace.
- Revise default configuration settings for terminal user and model limits.
- Remove quota check decorators from the model controller.
* 'release/v0.3.1' of github.com:SuanmoSuanyangTechnology/MemoryBear:
fix(web): stream add default error message
fix(quota): restrict quota check to new terminal user creation only
fix(api): fix API Key rate limiting and terminal user quota checks
feat(exception): enhance I18nException response format and add error code mapping
feat(quota): add quota checks during app duplication and import operations
fix(知识服务): 添加工作空间模型配置的校验
refactor(knowledge_service): 简化模型绑定逻辑，直接使用工作区配置
fix(知识服务): 修复创建知识库时未检查视觉模型存在的错误
refactor(knowledge_service): 优化模型绑定逻辑，使用ID查询并简化回退机制
- Standardize error response format to include business error codes, timestamps, and other fields.
- Add ERROR_CODE_TO_BIZ_CODE mapping table for error code conversion.
- Introduce QUOTA_EXCEEDED and RATE_LIMIT_EXCEEDED business error codes.
- Add logic to detect tenant plan QPS limits and return a specific error message when triggered.
- Simplify boolean check in model activation quota validation.
- Fix issue where tenant ID lookup from shared records failed to query the workspace correctly.
- Switch QPS counting from sliding window to simple counter to improve performance and simplify logic.
- Remove unnecessary `time` module import.
- Streamline rate limit check flow by removing redundant tenant-level QPS checks.
- Restrict checks to API Key QPS and plan degradation protection only.
- Update constant naming and error message handling for consistency.
- Refactor rate limiting mechanism to limit per API Key instead of per tenant (workspace).
- Update error code logic and Redis key naming conventions.
- Adjust quota usage statistics to display the QPS of the API Key closest to its limit.
- Add `API_KEY_RATE_LIMIT_EXCEEDED` error code.
- Refactor `QuotaExceededError` to support resource type localization.
- Optimize rate limiting service by implementing the sliding window algorithm.
- Add rate limit validation for tenant plans.
- Unify quota check decorator to support both synchronous and asynchronous operations.
- Enhance quota usage statistics endpoints.
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.
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
- 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
* 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.
