feat: add ability to set LLM for AgentPLanner on Crew (#1001)

* feat: add ability to set LLM for AgentPLanner on Crew

* feat: fixes issue on instantiating the ChatOpenAI on the crew

* docs: add docs for the planning_llm new parameter

* docs: change message to ChatOpenAI llm

* feat: add tests
This commit is contained in:
Eduardo Chiarotti
2024-07-26 14:24:29 -03:00
committed by GitHub
parent 2d2154ed65
commit 144e6d203f
5 changed files with 80 additions and 15 deletions

View File

@@ -155,6 +155,10 @@ class Crew(BaseModel):
default=False,
description="Plan the crew execution and add the plan to the crew.",
)
planning_llm: Optional[Any] = Field(
default=None,
description="Language model that will run the AgentPlanner if planning is True.",
)
task_execution_output_json_files: Optional[List[str]] = Field(
default=None,
description="List of file paths for task execution JSON files.",
@@ -560,15 +564,12 @@ class Crew(BaseModel):
def _handle_crew_planning(self):
"""Handles the Crew planning."""
self._logger.log("info", "Planning the crew execution")
result = CrewPlanner(self.tasks)._handle_crew_planning()
result = CrewPlanner(
tasks=self.tasks, planning_agent_llm=self.planning_llm
)._handle_crew_planning()
if result is not None and hasattr(result, "list_of_plans_per_task"):
for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
task.description += step_plan
else:
self._logger.log(
"info", "Something went wrong with the planning process of the Crew"
)
for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
task.description += step_plan
def _store_execution_log(
self,