* feat: implement tool usage limit exception handling
- Introduced `ToolUsageLimitExceeded` exception to manage maximum usage limits for tools.
- Enhanced `CrewStructuredTool` to check and raise this exception when the usage limit is reached.
- Updated `_run` and `_execute` methods to include usage limit checks and handle exceptions appropriately, improving reliability and user feedback.
* feat: enhance PlusAPI and ToolUsage with task metadata
- Removed the `send_trace_batch` method from PlusAPI to streamline the API.
- Added timeout parameters to trace event methods in PlusAPI for improved reliability.
- Updated ToolUsage to include task metadata (task name and ID) in event emissions, enhancing traceability and context during tool usage.
- Refactored event handling in LLM and ToolUsage events to ensure task information is consistently captured.
* feat: enhance memory and event handling with task and agent metadata
- Added task and agent metadata to various memory and event classes, improving traceability and context during memory operations.
- Updated the `ContextualMemory` and `Memory` classes to associate tasks and agents, allowing for better context management.
- Enhanced event emissions in `LLM`, `ToolUsage`, and memory events to include task and agent information, facilitating improved debugging and monitoring.
- Refactored event handling to ensure consistent capture of task and agent details across the system.
* drop
* refactor: clean up unused imports in memory and event modules
- Removed unused TYPE_CHECKING imports from long_term_memory.py to streamline the code.
- Eliminated unnecessary import from memory_events.py, enhancing clarity and maintainability.
* fix memory tests
* fix task_completed payload
* fix: remove unused test agent variable in external memory tests
* refactor: remove unused agent parameter from Memory class save method
- Eliminated the agent parameter from the save method in the Memory class to streamline the code and improve clarity.
- Updated the TraceBatchManager class by moving initialization of attributes into the constructor for better organization and readability.
* refactor: enhance ExecutionState and ReasoningEvent classes with optional task and agent identifiers
- Added optional `current_agent_id` and `current_task_id` attributes to the `ExecutionState` class for better tracking of agent and task states.
- Updated the `from_task` attribute in the `ReasoningEvent` class to use `Optional[Any]` instead of a specific type, improving flexibility in event handling.
* refactor: update ExecutionState class by removing unused agent and task identifiers
- Removed the `current_agent_id` and `current_task_id` attributes from the `ExecutionState` class to simplify the code and enhance clarity.
- Adjusted the import statements to include `Optional` for better type handling.
* refactor: streamline LLM event handling in LiteAgent
- Removed unused LLM event emissions (LLMCallStartedEvent, LLMCallCompletedEvent, LLMCallFailedEvent) from the LiteAgent class to simplify the code and improve performance.
- Adjusted the flow of LLM response handling by eliminating unnecessary event bus interactions, enhancing clarity and maintainability.
* flow ownership and not emitting events when a crew is done
* refactor: remove unused agent parameter from ShortTermMemory save method
- Eliminated the agent parameter from the save method in the ShortTermMemory class to streamline the code and improve clarity.
- This change enhances the maintainability of the memory management system by reducing unnecessary complexity.
* runtype check fix
* fixing tests
* fix lints
* fix: update event assertions in test_llm_emits_event_with_lite_agent
- Adjusted the expected counts for completed and started events in the test to reflect the correct behavior of the LiteAgent.
- Updated assertions for agent roles and IDs to match the expected values after recent changes in event handling.
* fix: update task name assertions in event tests
- Modified assertions in `test_stream_llm_emits_event_with_task_and_agent_info` and `test_llm_emits_event_with_task_and_agent_info` to use `task.description` as a fallback for `task.name`. This ensures that the tests correctly validate the task name even when it is not explicitly set.
* fix: update test assertions for output values and improve readability
- Updated assertions in `test_output_json_dict_hierarchical` to reflect the correct expected score value.
- Enhanced readability of assertions in `test_output_pydantic_to_another_task` and `test_key` by formatting the error messages for clarity.
- These changes ensure that the tests accurately validate the expected outputs and improve overall code quality.
* test fixes
* fix crew_test
* added another fixture
* fix: ensure agent and task assignments in contextual memory are conditional
- Updated the ContextualMemory class to check for the existence of short-term, long-term, external, and extended memory before assigning agent and task attributes. This prevents potential attribute errors when memory types are not initialized.
* Added Qdrant provider support with factory, config, and protocols
* Improved default embeddings and type definitions
* Fixed ChromaDB factory embedding assignment
### RAG Config System
* Added ChromaDB client creation via config with sensible defaults
* Introduced optional imports and shared RAG config utilities/schema
* Enabled embedding function support with ChromaDB provider integration
* Refactored configs for immutability and stronger type safety
* Removed unused code and expanded test coverage
Add ChromaDB client implementation with async support
- Implement core collection operations (create, get_or_create, delete)
- Add search functionality with cosine similarity scoring
- Include both sync and async method variants
- Add type safety with NamedTuples and TypeGuards
- Extract utility functions to separate modules
- Default to cosine distance metric for text similarity
- Add comprehensive test coverage
TODO:
- l2, ip score calculations are not settled on
fix: resolve flaky tests and race conditions in test suite
- Fix telemetry/event tests by patching class methods instead of instances
- Use unique temp files/directories to prevent CI race conditions
- Reset singleton state between tests
- Mock embedchain.Client.setup() to prevent JSON corruption
- Rename test files to test_*.py convention
- Move agent tests to tests/agents directory
- Fix repeated tool usage detection
- Remove database-dependent tools causing initialization errors
* docs: fix API Reference OpenAPI sources and redirects; clarify training data usage; add Mermaid diagram; correct CLI usage and notes
* docs(mintlify): use explicit openapi {source, directory} with absolute paths to fix branch deployment routing
* docs(mintlify): add explicit endpoint MDX pages and include in nav; keep OpenAPI auto-gen as fallback
* docs(mintlify): remove OpenAPI Endpoints groups; add localized MDX endpoint pages for pt-BR and ko
* fix: flow listener resumability for HITL and cyclic flows
- Add resumption context flag to distinguish HITL resumption from cyclic execution
- Skip method re-execution only during HITL resumption, not for cyclic flows
- Ensure cyclic flows like test_cyclic_flow continue to work correctly
* fix: prevent duplicate execution of conditional start methods in flows
* fix: resolve type error in flow.py line 1040 assignment
feat: add RAG system foundation with generic vector store support
- Add BaseClient protocol for vector stores
- Move BaseRAGStorage to rag/core
- Centralize embedding types in embeddings/types.py
- Remove unused storage models
* feat: display task name in verbose output
- Modified event_listener.py to pass task names to the formatter
- Updated console_formatter.py to display task names when available
- Maintains backward compatibility by showing UUID for tasks without names
- Makes verbose output more informative and readable
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: remove unnecessary f-string prefixes in console formatter
Remove extraneous f prefixes from string literals without placeholders
in console_formatter.py to resolve ruff F541 linting errors.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
* feat: adding additional parameter to Flow' start methods
When the `crewai_trigger_payload` parameter exists in the input Flow, we will add it in the start Flow methods as parameter
* fix: support crewai_trigger_payload in async Flow start methods
* feat: enhance BaseTool and CrewStructuredTool with usage tracking
This commit introduces a mechanism to track the usage count of tools within the CrewAI framework. The `BaseTool` class now includes a `_increment_usage_count` method that updates the current usage count, which is also reflected in the associated `CrewStructuredTool`. Additionally, a new test has been added to ensure that the maximum usage count is respected when invoking tools, enhancing the overall reliability and functionality of the tool system.
* feat: add max usage count feature to tools documentation
This commit introduces a new section in the tools overview documentation that explains the maximum usage count feature for tools within the CrewAI framework. Users can now set a limit on how many times a tool can be used, enhancing control over tool usage. An example of implementing the `FileReadTool` with a maximum usage count is also provided, improving the clarity and usability of the documentation.
* undo field string
This commit simplifies the conditions for enabling tracing in both the Crew and Flow classes by removing the redundant call to `on_first_execution_tracing_confirmation()`. Additionally, it removes deprecated warning filters related to Pydantic in the KnowledgeStorage and RAGStorage classes, improving code clarity and maintainability.
* Refactor tracing logic to consolidate conditions for enabling tracing in Crew class and update TraceBatchManager to handle ephemeral batches more effectively. Added tests for trace listener handling of both ephemeral and authenticated user batches.
* drop print
* linted
* refactor: streamline ephemeral handling in TraceBatchManager
This commit removes the ephemeral parameter from the _send_events_to_backend and _finalize_backend_batch methods, replacing it with internal logic that checks the current batch's ephemeral status. This change simplifies the method signatures and enhances the clarity of the code by directly using the is_current_batch_ephemeral attribute for conditional logic.
* Add telemetry mocking for pytest tests
- Mock telemetry by default for all tests except telemetry-specific tests
- Add @pytest.mark.telemetry marker for real telemetry tests
- Reduce test overhead and improve isolation
* Fix telemetry test isolation
- Properly isolate telemetry tests from mocking environment
- Preserve API keys and other necessary environment variables
- Ensure telemetry tests can run with real telemetry instances
* for ephemeral traces
* default false
* simpler and consolidated
* keep raising exception but catch it and continue if its for trace batches
* cleanup
* more cleanup
* not using logger
* refactor: rename TEMP_TRACING_RESOURCE to EPHEMERAL_TRACING_RESOURCE for clarity and consistency in PlusAPI; update related method calls accordingly
* default true
* drop print
- Bump crewAI version from 0.157.0 to 0.159.0
- Update tools dependency from 0.60.0 to 0.62.0 in pyproject.toml and uv.lock
- Ensure compatibility with the latest features and improvements in the tools package
- Add reload() method to restore flow state from execution data
- Add FlowExecutionData type definitions
- Track completed methods for proper flow resumption
- Support OpenTelemetry baggage context for flow inputs
* docs: add RBAC docs and other chores
* docs: fix API Reference rendering; per-locale OpenAPI; add Enterprise RBAC; restructure Examples (EN/PT-BR/KO) + Cookbooks; update nav and links
* docs(i18n): add RBAC docs for pt-BR and ko; update Enterprise Features nav
* feat: add tracing support to Crew and Flow classes
- Introduced a new `tracing` optional field in both the `Crew` and `Flow` classes to enable tracing functionality.
- Updated the initialization logic to conditionally set up the `TraceCollectionListener` based on the `tracing` flag or the `CREWAI_TRACING_ENABLED` environment variable.
- Removed the obsolete `interfaces.py` file related to tracing.
- Enhanced the `TraceCollectionListener` to accept a `tracing` parameter and adjusted its internal logic accordingly.
- Added tests to verify the correct setup of the trace listener when tracing is enabled.
This change improves the observability of the crew execution process and allows for better debugging and performance monitoring.
* fix flow name
* refactor: replace _send_batch method with finalize_batch calls in TraceCollectionListener
- Updated the TraceCollectionListener to use the batch_manager's finalize_batch method instead of the deprecated _send_batch method for handling trace events.
- This change improves the clarity of the code and ensures that batch finalization is consistently managed through the batch manager.
- Removed the obsolete _send_batch method to streamline the listener's functionality.
* removed comments
* refactor: enhance tracing functionality by introducing utility for tracing checks
- Added a new utility function `is_tracing_enabled` to streamline the logic for checking if tracing is enabled based on the `CREWAI_TRACING_ENABLED` environment variable.
- Updated the `Crew` and `Flow` classes to utilize this utility for improved readability and maintainability.
- Refactored the `TraceCollectionListener` to simplify tracing checks and ensure consistent behavior across components.
- Introduced a new module for tracing utilities to encapsulate related functions, enhancing code organization.
* refactor: remove unused imports from crew and flow modules
- Removed unnecessary `os` imports from both `crew.py` and `flow.py` files to enhance code cleanliness and maintainability.
* optimize: improve LLM message formatting performance
Replace inefficient copy+append operations with list concatenation
in _format_messages_for_provider method. This optimization reduces
memory allocation and improves performance for large conversation
histories.
**Changes:**
- Mistral models: Use list concatenation instead of copy() + append()
- Ollama models: Use list concatenation instead of copy() + append()
- Add comprehensive performance tests to verify improvements
**Performance impact:**
- Reduces memory allocations for large message lists
- Improves processing speed by 2-25% depending on message list size
- Maintains exact same functionality with better efficiency
cliu_whu@yeah.net
* remove useless comment
---------
Co-authored-by: chiliu <chiliu@paypal.com>
* chore: update crewai-tools dependency to version 0.60.0
- Updated the `pyproject.toml` and `uv.lock` files to reflect the new version of `crewai-tools`.
- This change ensures compatibility with the latest features and improvements in the tools package.
* chore: bump CrewAI version to 0.157.0
- Updated the version in `__init__.py` to reflect the new release.
- Adjusted dependency versions in `pyproject.toml` files for crew, flow, and tool templates to ensure compatibility with the latest features and improvements in CrewAI.
- This change maintains consistency across the project and prepares for upcoming enhancements.
