Commit Graph

16 Commits

Author SHA1 Message Date
Lucas Gomide
3730648b9d feat: support to remove stop parameter from LLM call
Currently, we can't remove the stop parameter from models that don't support it, because setting it to None ends up as an empty list
2025-05-02 12:07:47 -03:00
Lucas Gomide
b2969e9441 style: fix linter issue (#2686)
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2025-04-25 09:34:00 -04:00
João Moura
5b9606e8b6 fix contenxt windown 2025-04-24 23:09:23 -07:00
Kunal Lunia
685d20f46c added gpt-4.1 models and gemini-2.0 and 2.5 pro models (#2609)
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* added gpt4.1 models and gemini 2.0 and 2.5 models

* added flash model

* Updated test fun to all models

* Added Gemma3 test cases and passed all google test case

* added gemini 2.5 flash

* added gpt4.1 models and gemini 2.0 and 2.5 models

* added flash model

* Updated test fun to all models

* Added Gemma3 test cases and passed all google test case

* added gemini 2.5 flash

* added gpt4.1 models and gemini 2.0 and 2.5 models

* added flash model

* Updated test fun to all models

* Added Gemma3 test cases and passed all google test case

* added gemini 2.5 flash

* test: add missing cassettes

* test: ignore authorization key from gemini/gemma3 request

---------

Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
2025-04-23 11:20:32 -07:00
Lucas Gomide
ced3c8f0e0 Unblock LLM(stream=True) to work with tools (#2582)
* feat: unblock LLM(stream=True) to work with tools

* feat: replace pytest-vcr by pytest-recording

1. pytest-vcr does not support httpx - which LiteLLM uses for streaming responses.
2. pytest-vcr is no longer maintained, last commit 6 years ago :fist::skin-tone-4:
3. pytest-recording supports modern request libraries (including httpx) and actively maintained

* refactor: remove @skip_streaming_in_ci

Since we have fixed streaming response issue we can remove this @skip_streaming_in_ci

---------

Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
2025-04-17 11:58:52 -04:00
Eduardo Chiarotti
40a441f30e feat: remove unused code and change ToolUsageStarted event place (#2581)
* feat: remove unused code and change ToolUsageStarted event place

* feat: run lint

* feat: add agent refernece inside liteagent

* feat: remove unused logic

* feat: Remove not needed event

* feat: remove test from tool execution erro:

* feat: remove cassete
2025-04-11 14:26:59 -04:00
Brandon Hancock (bhancock_ai)
a1f35e768f Enhance LLM Streaming Response Handling and Event System (#2266)
* Initial Stream working

* add tests

* adjust tests

* Update test for multiplication

* Update test for multiplication part 2

* max iter on new test

* streaming tool call test update

* Force pass

* another one

* give up on agent

* WIP

* Non-streaming working again

* stream working too

* fixing type check

* fix failing test

* fix failing test

* fix failing test

* Fix testing for CI

* Fix failing test

* Fix failing test

* Skip failing CI/CD tests

* too many logs

* working

* Trying to fix tests

* drop openai failing tests

* improve logic

* Implement LLM stream chunk event handling with in-memory text stream

* More event types

* Update docs

---------

Co-authored-by: Lorenze Jay <lorenzejaytech@gmail.com>
2025-03-07 12:54:32 -05:00
devin-ai-integration[bot]
e3c5c174ee feat: add context window size for o3-mini model (#2192)
* feat: add context window size for o3-mini model

Fixes #2191

Co-Authored-By: Joe Moura <joao@crewai.com>

* feat: add context window validation and tests

- Add validation for context window size bounds (1024-2097152)
- Add test for context window validation
- Fix test import error

Co-Authored-By: Joe Moura <joao@crewai.com>

* style: fix import sorting in llm_test.py

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>
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
2025-02-25 15:32:14 -05:00
Lorenze Jay
00c2f5043e WIP crew events emitter (#2048)
* 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
2025-02-19 13:52:47 -08:00
devin-ai-integration[bot]
e0600e3bb9 fix: ensure proper message formatting for Anthropic models (#2063)
* 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>
2025-02-09 16:35:52 -03:00
Brandon Hancock (bhancock_ai)
f4bb040ad8 Brandon/improve llm structured output (#2029)
* code and tests work

* update docs

---------

Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
2025-02-04 16:46:48 -05:00
Brandon Hancock
748383d74c update litellm to support o3-mini and deepseek. Update docs. 2025-02-04 10:58:34 -05:00
Brandon Hancock (bhancock_ai)
23b9e10323 Brandon/provide llm additional params (#2018)
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* Clean up to match enterprise

* add additional params to LLM calls

* make sure additional params are getting passed to llm

* update docs

* drop print
2025-01-31 12:53:58 -05:00
Brandon Hancock (bhancock_ai)
a836f466f4 Updated calls and added tests to verify (#1953)
* Updated calls and added tests to verify

* Drop unused import
2025-01-22 14:36:15 -05:00
Brandon Hancock (bhancock_ai)
8ceeec7d36 drop litellm version to prevent windows issue (#1878)
* drop litellm version to prevent windows issue

* Fix failing tests

* Trying to fix tests

* clean up

* Trying to fix tests

* Drop token calc handler changes

* fix failing test

* Fix failing test

---------

Co-authored-by: João Moura <joaomdmoura@gmail.com>
2025-01-14 13:06:47 -05:00
Thiago Moretto
4afb022572 fix LiteLLM callback replacement 2024-11-12 15:04:57 -03:00