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Brandon/eng 290 make tool inputs actual objects and not strings (#1868)

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* Improving tool calling to pass dictionaries instead of strings

* Fix issues with parsing none/null

* remove prints and unnecessary comments

* Fix crew_test issues with function calling

* improve prompting

* add back in support for add_image

* add tests for tool validation

* revert back to figure out why tests are timing out

* Update cassette

* trying to find what is timing out

* add back in guardrails

* add back in manager delegation tests

* Trying to fix tests

* Force test to pass

* Trying to fix tests

* add in more role tests

* add back old tool validation

* updating tests

* vcr

* Fix tests

* improve function llm logic

* vcr 2

* drop llm

* Failing test

* add more tests back in

* Revert tool validation
This commit is contained in:
Brandon Hancock (bhancock_ai)
2025-01-10 17:16:46 -05:00
committed by GitHub
parent be8e33daf6
commit b8d07fee83
14 changed files with 857 additions and 3981 deletions
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15
src/crewai/crew.py
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@@ -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
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)
@@ -245,15 +246,9 @@ class Crew(BaseModel):
if self.output_log_file:
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)
)
if self.function_calling_llm and not isinstance(self.function_calling_llm, LLM):
self.function_calling_llm = create_llm(self.function_calling_llm)
self._telemetry = Telemetry()
self._telemetry.set_tracer()
return self