fix: add ConfigDict for Pydantic model_config and ClassVar annotations

packages/crewai/tests/agents/agent_adapters/test_base_agent_adapter.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Optional
+from typing import Any
 
 import pytest
 from pydantic import BaseModel
@@ -12,7 +12,7 @@ from crewai.utilities.token_counter_callback import TokenProcess
 # Concrete implementation for testing
 class ConcreteAgentAdapter(BaseAgentAdapter):
     def configure_tools(
-        self, tools: Optional[List[BaseTool]] = None, **kwargs: Any
+        self, tools: list[BaseTool] | None = None, **kwargs: Any
     ) -> None:
         # Simple implementation for testing
         self.tools = tools or []
@@ -20,19 +20,19 @@ class ConcreteAgentAdapter(BaseAgentAdapter):
     def execute_task(
         self,
         task: Any,
-        context: Optional[str] = None,
-        tools: Optional[List[Any]] = None,
+        context: str | None = None,
+        tools: list[Any] | None = None,
     ) -> str:
         # Dummy implementation needed due to BaseAgent inheritance
         return "Task executed"
 
-    def create_agent_executor(self, tools: Optional[List[BaseTool]] = None) -> Any:
+    def create_agent_executor(self, tools: list[BaseTool] | None = None) -> Any:
         # Dummy implementation
         return None
 
     def get_delegation_tools(
-        self, tools: List[BaseTool], tool_map: Optional[Dict[str, BaseTool]]
-    ) -> List[BaseTool]:
+        self, tools: list[BaseTool], tool_map: dict[str, BaseTool] | None
+    ) -> list[BaseTool]:
         # Dummy implementation
         return []
 
@@ -40,7 +40,7 @@ class ConcreteAgentAdapter(BaseAgentAdapter):
         # Dummy implementation
         pass
 
-    def get_output_converter(self, tools: Optional[List[BaseTool]] = None) -> Any:
+    def get_output_converter(self, tools: list[BaseTool] | None = None) -> Any:
         # Dummy implementation
         return None
 
@@ -95,7 +95,6 @@ def test_configure_structured_output_method_exists():
     adapter.configure_structured_output(structured_output)
     # Add assertions here if configure_structured_output modifies state
     # For now, just ensuring it runs without error is sufficient
-    pass
 
 
 def test_base_agent_adapter_inherits_base_agent():

packages/crewai/tests/agents/agent_adapters/test_base_tool_adapter.py

@@ -1,4 +1,3 @@
-from typing import Any, List
 from unittest.mock import Mock
 
 import pytest
@@ -8,7 +7,7 @@ from crewai.tools.base_tool import BaseTool
 
 
 class ConcreteToolAdapter(BaseToolAdapter):
-    def configure_tools(self, tools: List[BaseTool]) -> None:
+    def configure_tools(self, tools: list[BaseTool]) -> None:
         self.converted_tools = [f"converted_{tool.name}" for tool in tools]
 
 

packages/crewai/tests/agents/agent_builder/test_base_agent.py

@@ -1,5 +1,5 @@
 import hashlib
-from typing import Any, List, Optional
+from typing import Any
 
 from pydantic import BaseModel
 
@@ -11,14 +11,14 @@ class MockAgent(BaseAgent):
     def execute_task(
         self,
         task: Any,
-        context: Optional[str] = None,
-        tools: Optional[List[BaseTool]] = None,
+        context: str | None = None,
+        tools: list[BaseTool] | None = None,
     ) -> str:
         return ""
 
     def create_agent_executor(self, tools=None) -> None: ...
 
-    def get_delegation_tools(self, agents: List["BaseAgent"]): ...
+    def get_delegation_tools(self, agents: list["BaseAgent"]): ...
 
     def get_output_converter(
         self, llm: Any, text: str, model: type[BaseModel] | None, instructions: str

packages/crewai/tests/agents/test_agent_reasoning.py

@@ -1,6 +1,7 @@
 """Tests for reasoning in agents."""
 
 import json
+
 import pytest
 
 from crewai import Agent, Task
@@ -79,10 +80,8 @@ def test_agent_with_reasoning_not_ready_initially(mock_llm_responses):
             call_count[0] += 1
             if call_count[0] == 1:
                 return mock_llm_responses["not_ready"]
-            else:
-                return mock_llm_responses["ready_after_refine"]
-        else:
-            return "2x"
+            return mock_llm_responses["ready_after_refine"]
+        return "2x"
 
     agent.llm.call = mock_llm_call
 
@@ -121,8 +120,7 @@ def test_agent_with_reasoning_max_attempts_reached():
         ) or any("refine your plan" in msg.get("content", "") for msg in messages):
             call_count[0] += 1
             return f"Attempt {call_count[0]}: I need more time to think.\n\nNOT READY: I need to refine my plan further."
-        else:
-            return "This is an unsolved problem in mathematics."
+        return "This is an unsolved problem in mathematics."
 
     agent.llm.call = mock_llm_call
 
@@ -215,8 +213,7 @@ def test_agent_with_function_calling():
             return json.dumps(
                 {"plan": "I'll solve this simple math problem: 2+2=4.", "ready": True}
             )
-        else:
-            return "4"
+        return "4"
 
     agent.llm.call = mock_function_call
 
@@ -251,8 +248,7 @@ def test_agent_with_function_calling_fallback():
     def mock_function_call(messages, *args, **kwargs):
         if "tools" in kwargs:
             return "Invalid JSON that will trigger fallback. READY: I am ready to execute the task."
-        else:
-            return "4"
+        return "4"
 
     agent.llm.call = mock_function_call
 

packages/crewai/tests/agents/test_crew_agent_parser.py

@@ -1,11 +1,11 @@
 import pytest
 
+from crewai.agents import parser
 from crewai.agents.crew_agent_executor import (
     AgentAction,
     AgentFinish,
     OutputParserException,
 )
-from crewai.agents import parser
 
 
 def test_valid_action_parsing_special_characters():

packages/crewai/tests/agents/test_lite_agent.py

@@ -1,4 +1,3 @@
-# ruff: noqa: S101
 # mypy: ignore-errors
 from collections import defaultdict
 from typing import cast