feat: add ability to set LLM for AgentPLanner on Crew

src/crewai/crew.py

@@ -6,6 +6,7 @@ from hashlib import md5
 from typing import Any, Dict, List, Optional, Tuple, Union
 
 from langchain_core.callbacks import BaseCallbackHandler
+from langchain_openai import ChatOpenAI
 from pydantic import (
     UUID4,
     BaseModel,
@@ -154,6 +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=ChatOpenAI(model="gpt-4o-mini"),
+        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.",
@@ -559,15 +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"
-            )
 
     def _store_execution_log(
         self,

src/crewai/utilities/planning_handler.py

@@ -1,4 +1,4 @@
-from typing import List, Optional
+from typing import Any, List
 
 from pydantic import BaseModel
 
@@ -11,17 +11,23 @@ class PlannerTaskPydanticOutput(BaseModel):
 
 
 class CrewPlanner:
-    def __init__(self, tasks: List[Task]):
+    def __init__(self, tasks: List[Task], planning_agent_llm: Any):
         self.tasks = tasks
+        self.planning_agent_llm = planning_agent_llm
 
-    def _handle_crew_planning(self) -> Optional[BaseModel]:
+    def _handle_crew_planning(self) -> PlannerTaskPydanticOutput:
         """Handles the Crew planning by creating detailed step-by-step plans for each task."""
         planning_agent = self._create_planning_agent()
         tasks_summary = self._create_tasks_summary()
 
         planner_task = self._create_planner_task(planning_agent, tasks_summary)
 
-        return planner_task.execute_sync().pydantic
+        result = planner_task.execute_sync()
+
+        if isinstance(result.pydantic, PlannerTaskPydanticOutput):
+            return result.pydantic
+
+        raise ValueError("Failed to get the Planning output")
 
     def _create_planning_agent(self) -> Agent:
         """Creates the planning agent for the crew planning."""
@@ -32,6 +38,7 @@ class CrewPlanner:
                 "available to each agent so that they can perform the tasks in an exemplary manner"
             ),
             backstory="Planner agent for crew planning",
+            llm=self.planning_agent_llm,
         )
 
     def _create_planner_task(self, planning_agent: Agent, tasks_summary: str) -> Task: