Fix types

src/crewai/agents/cache/cache_hit.py

@@ -1,6 +1,5 @@
-from typing import Any
+from langchain_core.agents import AgentAction
-
+from pydantic.v1 import BaseModel, Field
-from pydantic import BaseModel, Field
 
 from .cache_handler import CacheHandler
 
@@ -11,8 +10,5 @@ class CacheHit(BaseModel):
     class Config:
         arbitrary_types_allowed = True
 
-    # Making it Any instead of AgentAction to avoind
+    action: AgentAction = Field(description="Action taken")
-    # pydantic v1 vs v2 incompatibility, langchain should
-    # soon be updated to pydantic v2
-    action: Any = Field(description="Action taken")
     cache: CacheHandler = Field(description="Cache Handler for the tool")

src/crewai/agents/executor.py

@@ -106,15 +106,16 @@ class CrewAgentExecutor(AgentExecutor):
                 **inputs,
             )
             if self._should_force_answer():
-                if isinstance(output, AgentAction) or isinstance(output, AgentFinish):
+                if isinstance(output, CacheHit):
-                    output = output
-                elif isinstance(output, CacheHit):
                     output = output.action
-                else:
+                if isinstance(output, AgentAction):
-                    raise ValueError(
+                    yield self._force_answer(output)
-                        f"Unexpected output type from agent: {type(output)}"
+                    return
-                    )
+                if isinstance(output, list):
-                yield self._force_answer(output)
+                    yield from [self._force_answer(action) for action in output]
+                    return
+
+                yield output
                 return
 
         except OutputParserException as e:

src/crewai/agents/output_parser.py

@@ -73,7 +73,7 @@ class CrewAgentOutputParser(ReActSingleInputOutputParser):
                     )
 
             if self.cache.read(action, tool_input):
-                action = AgentAction(action, tool_input, text)
+                agent_action = AgentAction(action, tool_input, text)
-                return CacheHit(action=action, cache=self.cache)
+                return CacheHit(action=agent_action, cache=self.cache)
 
         return super().parse(text)

src/crewai/crew.py

@@ -171,7 +171,7 @@ class Crew(BaseModel):
 
     def _run_sequential_process(self) -> str:
         """Executes tasks sequentially and returns the final output."""
-        task_output = ""
+        task_output: str = ""
         for task in self.tasks:
             if task.agent is not None and task.agent.allow_delegation:
                 agents_for_delegation = [
@@ -185,6 +185,7 @@ class Crew(BaseModel):
 
             output = task.execute(context=task_output)
             if not task.async_execution:
+                assert output is not None
                 task_output = output
 
             role = task.agent.role if task.agent is not None else "None"
@@ -208,14 +209,17 @@ class Crew(BaseModel):
             verbose=True,
         )
 
-        task_output = ""
+        task_output: str = ""
         for task in self.tasks:
             self._logger.log("debug", f"Working Agent: {manager.role}")
             self._logger.log("info", f"Starting Task: {task.description}")
 
-            task_output = task.execute(
+            output = task.execute(
                 agent=manager, context=task_output, tools=manager.tools
             )
+            if not task.async_execution:
+                assert output is not None
+                task_output = output
 
             self._logger.log(
                 "debug", f"[{manager.role}] Task output: {task_output}\n\n"

src/crewai/task.py

@@ -18,7 +18,7 @@ class Task(BaseModel):
 
     __hash__ = object.__hash__  # type: ignore
     i18n: I18N = I18N()
-    thread: threading.Thread = None
+    thread: threading.Thread | None = None
     description: str = Field(description="Description of the actual task.")
     callback: Optional[Any] = Field(
         description="Callback to be executed after the task is completed.", default=None
@@ -71,7 +71,7 @@ class Task(BaseModel):
         agent: Agent | None = None,
         context: Optional[str] = None,
         tools: Optional[List[Any]] = None,
-    ) -> str:
+    ) -> str | None:
         """Execute the task.
 
         Returns:
@@ -85,12 +85,14 @@ class Task(BaseModel):
             )
 
         if self.context:
-            context = []
+            results = []
             for task in self.context:
                 if task.async_execution:
+                    assert task.thread is not None
                     task.thread.join()
-                context.append(task.output.result)
+                if task.output is not None:
-            context = "\n".join(context)
+                    results.append(task.output.result)
+            context = "\n".join(results)
 
         tools = tools or self.tools
 

tests/crew_test.py

@@ -411,7 +411,7 @@ def test_async_task_execution():
         with patch.object(threading.Thread, "start") as start:
             thread = threading.Thread(target=lambda: None, args=()).start()
             start.return_value = thread
-            with patch.object(threading.Thread, "join", wraps=thread.join()) as join:
+            with patch.object(threading.Thread, "join", wraps=thread.join()) as join:  # type: ignore
                 list_ideas.output = TaskOutput(
                     description="A 4 paragraph article about AI.", result="ok"
                 )