diff --git a/src/crewai/agent.py b/src/crewai/agent.py index 4f4444195..8b55513d2 100644 --- a/src/crewai/agent.py +++ b/src/crewai/agent.py @@ -86,7 +86,7 @@ class Agent(BaseAgent): llm: Union[str, InstanceOf[LLM], Any] = Field( description="Language model that will run the agent.", default=None ) - function_calling_llm: Optional[Any] = Field( + function_calling_llm: Optional[Union[str, InstanceOf[LLM], Any]] = Field( description="Language model that will run the agent.", default=None ) system_template: Optional[str] = Field( diff --git a/src/crewai/crew.py b/src/crewai/crew.py index b9555070f..2f0c68862 100644 --- a/src/crewai/crew.py +++ b/src/crewai/crew.py @@ -47,6 +47,7 @@ from crewai.utilities.formatter import ( aggregate_raw_outputs_from_task_outputs, aggregate_raw_outputs_from_tasks, ) +from crewai.utilities.llm_utils import create_llm # Ensure this import is present from crewai.utilities.planning_handler import CrewPlanner from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler from crewai.utilities.training_handler import CrewTrainingHandler @@ -149,7 +150,7 @@ class Crew(BaseModel): manager_agent: Optional[BaseAgent] = Field( description="Custom agent that will be used as manager.", default=None ) - function_calling_llm: Optional[Any] = Field( + function_calling_llm: Optional[Union[str, InstanceOf[LLM], Any]] = Field( description="Language model that will run the agent.", default=None ) config: Optional[Union[Json, Dict[str, Any]]] = Field(default=None) @@ -246,14 +247,8 @@ class Crew(BaseModel): self._file_handler = FileHandler(self.output_log_file) self._rpm_controller = RPMController(max_rpm=self.max_rpm, logger=self._logger) if self.function_calling_llm: - if isinstance(self.function_calling_llm, str): - self.function_calling_llm = LLM(model=self.function_calling_llm) - elif not isinstance(self.function_calling_llm, LLM): - self.function_calling_llm = LLM( - model=getattr(self.function_calling_llm, "model_name", None) - or getattr(self.function_calling_llm, "deployment_name", None) - or str(self.function_calling_llm) - ) + self.function_calling_llm = create_llm(self.function_calling_llm) + self._telemetry = Telemetry() self._telemetry.set_tracer() return self diff --git a/src/crewai/tools/tool_usage.py b/src/crewai/tools/tool_usage.py index 6d06d202a..d818cf3ae 100644 --- a/src/crewai/tools/tool_usage.py +++ b/src/crewai/tools/tool_usage.py @@ -348,8 +348,7 @@ class ToolUsage: tool = self._select_tool(tool_name) try: arguments = self._validate_tool_input(self.action.tool_input) - print("Arguments:", arguments) - print("Arguments type:", type(arguments)) + except Exception: if raise_error: raise diff --git a/tests/cassettes/test_crew_function_calling_llm.yaml b/tests/cassettes/test_crew_function_calling_llm.yaml index 163d501e2..fd2d14b12 100644 --- a/tests/cassettes/test_crew_function_calling_llm.yaml +++ b/tests/cassettes/test_crew_function_calling_llm.yaml @@ -1,284 +1,22 @@ interactions: - request: - body: !!binary | - CvBmCiQKIgoMc2VydmljZS5uYW1lEhIKEGNyZXdBSS10ZWxlbWV0cnkSx2YKEgoQY3Jld2FpLnRl - bGVtZXRyeRKQAgoQ1xV+ksW4IB9of/CR4hZhphIIqnV0Rw1oQ98qDlRhc2sgRXhlY3V0aW9uMAE5 - mB5jsyZM+BdBIDKh/CZM+BdKLgoIY3Jld19rZXkSIgogYTljYzVkNDMzOTViMjFiMTgxYzgwYmQ0 - MzUxY2NlYzhKMQoHY3Jld19pZBImCiQ5MzRiZDA2Yi02NmQ5LTQxNDAtYmRhNy00MzA2ZjZjN2Nk - NDdKLgoIdGFza19rZXkSIgogZTllNmI3MmFhYzMyNjQ1OWRkNzA2OGYwYjE3MTdjMWNKMQoHdGFz - a19pZBImCiQ4YmFkNTJiZi05MGM0LTQ0ZDgtYmNlZi0xODBkZTA2MjRiYWZ6AhgBhQEAAQAAErUN - ChDbqdU0IQdmMfvw65rrSXWsEgjqRsLQ2AosdSoMQ3JldyBDcmVhdGVkMAE5EJDh/yZM+BdBUCDk - 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I''ll try something else instead.\n\n\n\n\nYou - ONLY have access to the following tools, and should NEVER make up tools that - are not listed here:\n\nTool Name: learn_about_AI(*args: Any, **kwargs: Any) - -> Any\nTool Description: learn_about_AI() - Useful for when you need to learn - about AI to write an paragraph about it. \nTool Arguments: {}\n\nUse the following - format:\n\nThought: you should always think about what to do\nAction: the action - to take, only one name of [learn_about_AI], just the name, exactly as it''s - written.\nAction Input: the input to the action, just a simple python dictionary, - enclosed in curly braces, using \" to wrap keys and values.\nObservation: the - result of the action\n\nOnce all necessary information is gathered:\n\nThought: - I now know the final answer\nFinal Answer: the final answer to the original - input question\n"}, {"role": "assistant", "content": "Thought: I need to gather - information about AI to create a remarkable paragraph. \nAction: learn_about_AI\nAction - Input: {}\nObservation: The result of the action.\nObservation: I tried reusing - the same input, I must stop using this action input. I''ll try something else - instead.\n\n"}, {"role": "user", "content": "I did it wrong. Tried to both perform - Action and give a Final Answer at the same time, I must do one or the other"}, - {"role": "assistant", "content": "Thought: I need to learn about AI to write - a compelling paragraph. \nAction: learn_about_AI\nAction Input: {}\nObservation: - The result of the action.\nObservation: I tried reusing the same input, I must - stop using this action input. I''ll try something else instead.\n\n"}, {"role": - "assistant", "content": "Thought: I need to gather more information about AI - to create a great paragraph. I will perform the action now.\nAction: learn_about_AI\nAction - Input: {}\nObservation: The result of the action.\nObservation: I tried reusing - the same input, I must stop using this action input. I''ll try something else - instead.\n\n\n\n\nYou ONLY have access to the following tools, and should NEVER - make up tools that are not listed here:\n\nTool Name: learn_about_AI(*args: - Any, **kwargs: Any) -> Any\nTool Description: learn_about_AI() - Useful for - when you need to learn about AI to write an paragraph about it. \nTool Arguments: - {}\n\nUse the following format:\n\nThought: you should always think about what - to do\nAction: the action to take, only one name of [learn_about_AI], just the - name, exactly as it''s written.\nAction Input: the input to the action, just - a simple python dictionary, enclosed in curly braces, using \" to wrap keys - and values.\nObservation: the result of the action\n\nOnce all necessary information - is gathered:\n\nThought: I now know the final answer\nFinal Answer: the final - answer to the original input question\n"}, {"role": "assistant", "content": - "Thought: I need to proceed with learning about AI to craft an amazing paragraph.\nAction: - learn_about_AI\nAction Input: {}\nObservation: The result of the action.\nObservation: - I tried reusing the same input, I must stop using this action input. 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Tried to both perform Action and give a - Final Answer at the same time, I must do one or the other"}, {"role": "assistant", - "content": "Thought: I need to gather information about AI to write a compelling - paragraph. \nAction: learn_about_AI\nAction Input: {}\nObservation: The result - of the action.\nObservation: I encountered an error: ''InstructorToolCalling'' - object is not subscriptable. \n\nI should keep trying until I can proceed correctly. - \n\nThought: I need to focus on learning more about AI. \nAction: learn_about_AI\nAction - Input: {}\nObservation: The result of the action. \n\nObservation: I encountered - an error: ''InstructorToolCalling'' object is not subscriptable\nMoving on then. - I MUST either use a tool (use one at time) OR give my best final answer not - both at the same time. 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