fix: Fix planning_llm issue

src/crewai/crew.py

@@ -1,9 +1,9 @@
 import asyncio
 import json
+import os
 import uuid
 from concurrent.futures import Future
 from hashlib import md5
-import os
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
 
 from langchain_core.callbacks import BaseCallbackHandler
@@ -48,7 +48,6 @@ from crewai.utilities.planning_handler import CrewPlanner
 from crewai.utilities.task_output_storage_handler import TaskOutputStorageHandler
 from crewai.utilities.training_handler import CrewTrainingHandler
 
-
 agentops = None
 if os.environ.get("AGENTOPS_API_KEY"):
     try:
@@ -541,7 +540,7 @@ class Crew(BaseModel):
         )._handle_crew_planning()
 
         for task, step_plan in zip(self.tasks, result.list_of_plans_per_task):
-            task.description += step_plan
+            task.description += step_plan.plan
 
     def _store_execution_log(
         self,

src/crewai/utilities/planning_handler.py

@@ -1,14 +1,25 @@
 from typing import Any, List, Optional
 
 from langchain_openai import ChatOpenAI
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 from crewai.agent import Agent
 from crewai.task import Task
 
 
+class PlanPerTask(BaseModel):
+    task: str = Field(..., description="The task for which the plan is created")
+    plan: str = Field(
+        ...,
+        description="The step by step plan on how the agents can execute their tasks using the available tools with mastery",
+    )
+
+
 class PlannerTaskPydanticOutput(BaseModel):
-    list_of_plans_per_task: List[str]
+    list_of_plans_per_task: List[PlanPerTask] = Field(
+        ...,
+        description="Step by step plan on how the agents can execute their tasks using the available tools with mastery",
+    )
 
 
 class CrewPlanner: