* Check the right property
* Fix failing tests
* Update cassettes
* Update cassettes again
* Update cassettes again 2
* Update cassettes again 3
* fix other test that fails in ci/cd
* Fix issues pointed out by lorenze
* imporve HITL
* fix failing test
* fix failing test part 2
* Drop extra logs that were causing confusion
---------
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
* WIP crew events emitter
* Refactor event handling and introduce new event types
- Migrate from global `emit` function to `event_bus.emit`
- Add new event types for task failures, tool usage, and agent execution
- Update event listeners and event bus to support more granular event tracking
- Remove deprecated event emission methods
- Improve event type consistency and add more detailed event information
* Add event emission for agent execution lifecycle
- Emit AgentExecutionStarted and AgentExecutionError events
- Update CrewAgentExecutor to use event_bus for tracking agent execution
- Refactor error handling to include event emission
- Minor code formatting improvements in task.py and crew_agent_executor.py
- Fix a typo in test file
* Refactor event system and add third-party event listeners
- Move event_bus import to correct module paths
- Introduce BaseEventListener abstract base class
- Add AgentOpsListener for third-party event tracking
- Update event listener initialization and setup
- Clean up event-related imports and exports
* Enhance event system type safety and error handling
- Improve type annotations for event bus and event types
- Add null checks for agent and task in event emissions
- Update import paths for base tool and base agent
- Refactor event listener type hints
- Remove unnecessary print statements
- Update test configurations to match new event handling
* Refactor event classes to improve type safety and naming consistency
- Rename event classes to have explicit 'Event' suffix (e.g., TaskStartedEvent)
- Update import statements and references across multiple files
- Remove deprecated events.py module
- Enhance event type hints and configurations
- Clean up unnecessary event-related code
* Add default model for CrewEvaluator and fix event import order
- Set default model to "gpt-4o-mini" in CrewEvaluator when no model is specified
- Reorder event-related imports in task.py to follow standard import conventions
- Update event bus initialization method return type hint
- Export event_bus in events/__init__.py
* Fix tool usage and event import handling
- Update tool usage to use `.get()` method when checking tool name
- Remove unnecessary `__all__` export list in events/__init__.py
* Refactor Flow and Agent event handling to use event_bus
- Remove `event_emitter` from Flow class and replace with `event_bus.emit()`
- Update Flow and Agent tests to use event_bus event listeners
- Remove redundant event emissions in Flow methods
- Add debug print statements in Flow execution
- Simplify event tracking in test cases
* Enhance event handling for Crew, Task, and Event classes
- Add crew name to failed event types (CrewKickoffFailedEvent, CrewTrainFailedEvent, CrewTestFailedEvent)
- Update Task events to remove redundant task and context attributes
- Refactor EventListener to use Logger for consistent event logging
- Add new event types for Crew train and test events
- Improve event bus event tracking in test cases
* Remove telemetry and tracing dependencies from Task and Flow classes
- Remove telemetry-related imports and private attributes from Task class
- Remove `_telemetry` attribute from Flow class
- Update event handling to emit events without direct telemetry tracking
- Simplify task and flow execution by removing explicit telemetry spans
- Move telemetry-related event handling to EventListener
* Clean up unused imports and event-related code
- Remove unused imports from various event and flow-related files
- Reorder event imports to follow standard conventions
- Remove unnecessary event type references
- Simplify import statements in event and flow modules
* Update crew test to validate verbose output and kickoff_for_each method
- Enhance test_crew_verbose_output to check specific listener log messages
- Modify test_kickoff_for_each_invalid_input to use Pydantic validation error
- Improve test coverage for crew logging and input validation
* Update crew test verbose output with improved emoji icons
- Replace task and agent completion icons from 👍 to ✅
- Enhance readability of test output logging
- Maintain consistent test coverage for crew verbose output
* Add MethodExecutionFailedEvent to handle flow method execution failures
- Introduce new MethodExecutionFailedEvent in flow_events module
- Update Flow class to catch and emit method execution failures
- Add event listener for method execution failure events
- Update event-related imports to include new event type
- Enhance test coverage for method execution failure handling
* Propagate method execution failures in Flow class
- Modify Flow class to re-raise exceptions after emitting MethodExecutionFailedEvent
- Reorder MethodExecutionFailedEvent import to maintain consistent import style
* Enable test coverage for Flow method execution failure event
- Uncomment pytest.raises() in test_events to verify exception handling
- Ensure test validates MethodExecutionFailedEvent emission during flow kickoff
* Add event handling for tool usage events
- Introduce event listeners for ToolUsageFinishedEvent and ToolUsageErrorEvent
- Log tool usage events with descriptive emoji icons (✅ and ❌)
- Update event_listener to track and log tool usage lifecycle
* Reorder and clean up event imports in event_listener
- Reorganize imports for tool usage events and other event types
- Maintain consistent import ordering and remove unused imports
- Ensure clean and organized import structure in event_listener module
* moving to dedicated eventlistener
* dont forget crew level
* Refactor AgentOps event listener for crew-level tracking
- Modify AgentOpsListener to handle crew-level events
- Initialize and end AgentOps session at crew kickoff and completion
- Create agents for each crew member during session initialization
- Improve session management and event recording
- Clean up and simplify event handling logic
* Update test_events to validate tool usage error event handling
- Modify test to assert single error event with correct attributes
- Use pytest.raises() to verify error event generation
- Simplify error event validation in test case
* Improve AgentOps listener type hints and formatting
- Add string type hints for AgentOps classes to resolve potential import issues
- Clean up unnecessary whitespace and improve code indentation
- Simplify initialization and event handling logic
* Update test_events to validate multiple tool usage events
- Modify test to assert 75 events instead of a single error event
- Remove pytest.raises() check, allowing crew kickoff to complete
- Adjust event validation to support broader event tracking
* Rename event_bus to crewai_event_bus for improved clarity and specificity
- Replace all references to `event_bus` with `crewai_event_bus`
- Update import statements across multiple files
- Remove the old `event_bus.py` file
- Maintain existing event handling functionality
* Enhance EventListener with singleton pattern and color configuration
- Implement singleton pattern for EventListener to ensure single instance
- Add default color configuration using EMITTER_COLOR from constants
- Modify log method calls to use default color and remove redundant color parameters
- Improve initialization logic to prevent multiple initializations
* Add FlowPlotEvent and update event bus to support flow plotting
- Introduce FlowPlotEvent to track flow plotting events
- Replace Telemetry method with event bus emission in Flow.plot()
- Update event bus to support new FlowPlotEvent type
- Add test case to validate flow plotting event emission
* Remove RunType enum and clean up crew events module
- Delete unused RunType enum from crew_events.py
- Simplify crew_events.py by removing unnecessary enum definition
- Improve code clarity by removing unneeded imports
* Enhance event handling for tool usage and agent execution
- Add new events for tool usage: ToolSelectionErrorEvent, ToolValidateInputErrorEvent
- Improve error tracking and event emission in ToolUsage and LLM classes
- Update AgentExecutionStartedEvent to use task_prompt instead of inputs
- Add comprehensive test coverage for new event types and error scenarios
* Refactor event system and improve crew testing
- Extract base CrewEvent class to a new base_events.py module
- Update event imports across multiple event-related files
- Modify CrewTestStartedEvent to use eval_llm instead of openai_model_name
- Add LLM creation validation in crew testing method
- Improve type handling and event consistency
* Refactor task events to use base CrewEvent
- Move CrewEvent import from crew_events to base_events
- Remove unnecessary blank lines in task_events.py
- Simplify event class structure for task-related events
* Update AgentExecutionStartedEvent to use task_prompt
- Modify test_events.py to use task_prompt instead of inputs
- Simplify event input validation in test case
- Align with recent event system refactoring
* Improve type hinting for TaskCompletedEvent handler
- Add explicit type annotation for TaskCompletedEvent in event_listener.py
- Enhance type safety for event handling in EventListener
* Improve test_validate_tool_input_invalid_input with mock objects
- Add explicit mock objects for agent and action in test case
- Ensure proper string values for mock agent and action attributes
- Simplify test setup for ToolUsage validation method
* Remove ToolUsageStartedEvent emission in tool usage process
- Remove unnecessary event emission for tool usage start
- Simplify tool usage event handling
- Eliminate redundant event data preparation step
* refactor: clean up and organize imports in llm and flow modules
* test: Improve flow persistence test cases and logging
* Added functionality to have any llm run test functionality
* Fixed lint issues
* Fixed Linting issues
* Fixed unit test case
* Fixed unit test
* Fixed test case
* Fixed unit test case
---------
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
This commit implements a method for exporting the state of a flow into a
JSON-serializable dictionary.
The idea is producing a human-readable version of state that can be
inspected or consumed by other systems, hence JSON and not pickling or
marshalling.
I consider it an export because it's a one-way process, meaning it
cannot be loaded back into Python because of complex types.
Previously, `@start` methods triggered a `FlowStartedEvent` but did not
emit a `MethodExecutionStartedEvent`. This was fine for a single entry
point but caused ambiguity when multiple `@start` methods existed.
This commit (1) emits events for starting points, (2) adds tests
ensuring ordering, (3) adds more fields to events.
* Updated excel_knowledge_source.py to account for excel sheets that have multiple tabs. The old implementation contained a single df=pd.read_excel(excel_file_path), which only reads the first or most recently used excel sheet. The updated functionality reads all sheets in the excel workbook.
* updated load_content() function in excel_knowledge_source.py to reduce memory usage and provide better documentation
* accidentally didn't delete the old load_content() function in last commit - corrected this
* Added an override for the content field from the inheritted BaseFileKnowledgeSource to account for the change in the load_content method to support excel files with multiple tabs/sheets. This change should ensure it passes the type check test, as it failed before since content was assigned a different type in BaseFileKnowledgeSource
* Now removed the commented out imports in _import_dependencies, as requested
* Updated excel_knowledge_source to fix linter errors and type errors. Changed inheritence from basefileknowledgesource to baseknowledgesource because basefileknowledgesource's types conflicted (in particular the load_content function and the content class variable.
---------
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
* docs: fix long term memory class name in examples
- Replace EnhanceLongTermMemory with LongTermMemory to match actual implementation
- Update code examples to show correct usage
- Fixes#2026
Co-Authored-By: Joe Moura <joao@crewai.com>
* docs: improve memory examples with imports, types and security
- Add proper import statements
- Add type hints for better readability
- Add descriptive comments for each memory type
- Add security considerations section
- Add configuration examples section
- Use environment variables for storage paths
Co-Authored-By: Joe Moura <joao@crewai.com>
* Update memory.mdx
* Update memory.mdx
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Joe Moura <joao@crewai.com>
Co-authored-by: João Moura <joaomdmoura@gmail.com>
* fix: ensure proper message formatting for Anthropic models
- Add Anthropic-specific message formatting
- Add placeholder user message when required
- Add test case for Anthropic message formatting
Fixes#1869
Co-Authored-By: Joe Moura <joao@crewai.com>
* refactor: improve Anthropic model handling
- Add robust model detection with _is_anthropic_model
- Enhance message formatting with better edge cases
- Add type hints and improve documentation
- Improve test structure with fixtures
- Add edge case tests
Addresses review feedback on #2063
Co-Authored-By: Joe Moura <joao@crewai.com>
---------
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Joe Moura <joao@crewai.com>
* clean up. fix type safety. address memory config docs
* improve manager
* Include fix for o1 models not supporting system messages
* more broad with o1
* address fix: Typo in expected_output string #2045
* drop prints
* drop prints
* wip
* wip
* fix failing memory tests
* Fix memory provider issue
* clean up short term memory
* revert ltm
* drop
* clean up linting issues
* more linting
* Enhance embedding configuration with custom embedder support
- Add support for custom embedding functions in EmbeddingConfigurator
- Update type hints for embedder configuration
- Extend configuration options for various embedding providers
- Add optional embedder configuration to Memory class
* added docs
* Refine custom embedder configuration support
- Update custom embedder configuration method to handle custom embedding functions
- Modify type hints for embedder configuration
- Remove unused model_name parameter in custom embedder configuration
* clean up. fix type safety. address memory config docs
* improve manager
* Include fix for o1 models not supporting system messages
* more broad with o1
* address fix: Typo in expected_output string #2045
* drop prints
* drop prints
* wip
* wip
* fix failing memory tests
* Fix memory provider issue
* clean up short term memory
* revert ltm
* drop
* Added functionality to have json format as well for the logs
* Added additional comments, refractored logging functionality
* Fixed documentation to include the new paramter
* Fixed typo
* Added a Pydantic Error Check between output_log_file and save_as_json parameter
* Removed the save_to_json parameter, incorporated the functionality directly with output_log_file
* Fixed typo
* Sorted the imports using isort
---------
Co-authored-by: Vidit Ostwal <vidit.ostwal@piramal.com>
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
* Added reset memories function inside crew class
* Fixed typos
* Refractored the code
* Refactor memory reset functionality in Crew class
- Improved error handling and logging for memory reset operations
- Added private methods to modularize memory reset logic
- Enhanced type hints and docstrings
- Updated CLI reset memories command to use new Crew method
- Added utility function to get crew instance in CLI utils
* fix linting issues
* knowledge: Add null check in reset method for storage
* cli: Update memory reset tests to use Crew's reset_memories method
* cli: Enhance memory reset command with improved error handling and validation
---------
Co-authored-by: Lorenze Jay <lorenzejaytech@gmail.com>
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
* Update embedding_configurator.py
Modified _configure_bedrock method to use user submitted model_name rather than default amazon.titan-embed-text-v1.
Sending model_name in short_term_memory (embedder_config/config) was not working.
# Passing model_name to use model_name provide by user than using default. Added if/else for backward compatibility
* Update embedding_configurator.py
Incorporated review comments
---------
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
