Merge branch 'main' of github.com:crewAIInc/crewAI into improvement/knowledge-query-limits-and-context

src/crewai/agent.py

@@ -185,7 +185,7 @@ class Agent(BaseAgent):
         self,
         task: Task,
         context: Optional[str] = None,
-        tools: Optional[List[BaseTool]] = None,
+        tools: Optional[List[BaseTool]] = None
     ) -> str:
         """Execute a task with the agent.
 
@@ -196,6 +196,11 @@ class Agent(BaseAgent):
 
         Returns:
             Output of the agent
+
+        Raises:
+            TimeoutError: If execution exceeds the maximum execution time.
+            ValueError: If the max execution time is not a positive integer.
+            RuntimeError: If the agent execution fails for other reasons.
         """
         if self.tools_handler:
             self.tools_handler.last_used_tool = {}  # type: ignore # Incompatible types in assignment (expression has type "dict[Never, Never]", variable has type "ToolCalling")
@@ -280,14 +285,26 @@ class Agent(BaseAgent):
                     task=task,
                 ),
             )
-            result = self.agent_executor.invoke(
-                {
-                    "input": task_prompt,
-                    "tool_names": self.agent_executor.tools_names,
-                    "tools": self.agent_executor.tools_description,
-                    "ask_for_human_input": task.human_input,
-                }
-            )["output"]
+
+            # Determine execution method based on timeout setting
+            if self.max_execution_time is not None:
+                if not isinstance(self.max_execution_time, int) or self.max_execution_time <= 0:
+                    raise ValueError("Max Execution time must be a positive integer greater than zero")
+                result = self._execute_with_timeout(task_prompt, task, self.max_execution_time)
+            else:
+                result = self._execute_without_timeout(task_prompt, task)
+                
+        except TimeoutError as e:
+            # Propagate TimeoutError without retry
+            crewai_event_bus.emit(
+                self,
+                event=AgentExecutionErrorEvent(
+                    agent=self,
+                    task=task,
+                    error=str(e),
+                ),
+            )
+            raise e
         except Exception as e:
             if e.__class__.__module__.startswith("litellm"):
                 # Do not retry on litellm errors
@@ -328,6 +345,66 @@ class Agent(BaseAgent):
         )
         return result
 
+    def _execute_with_timeout(
+        self,
+        task_prompt: str,
+        task: Task,
+        timeout: int
+    ) -> str:
+        """Execute a task with a timeout.
+        
+        Args:
+            task_prompt: The prompt to send to the agent.
+            task: The task being executed.
+            timeout: Maximum execution time in seconds.
+            
+        Returns:
+            The output of the agent.
+            
+        Raises:
+            TimeoutError: If execution exceeds the timeout.
+            RuntimeError: If execution fails for other reasons.
+        """
+        import concurrent.futures
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            future = executor.submit(
+                self._execute_without_timeout,
+                task_prompt=task_prompt,
+                task=task
+            )
+            
+            try:
+                return future.result(timeout=timeout)
+            except concurrent.futures.TimeoutError:
+                future.cancel()
+                raise TimeoutError(f"Task '{task.description}' execution timed out after {timeout} seconds. Consider increasing max_execution_time or optimizing the task.")
+            except Exception as e:
+                future.cancel()
+                raise RuntimeError(f"Task execution failed: {str(e)}")
+
+    def _execute_without_timeout(
+        self,
+        task_prompt: str,
+        task: Task
+    ) -> str:
+        """Execute a task without a timeout.
+        
+        Args:
+            task_prompt: The prompt to send to the agent.
+            task: The task being executed.
+            
+        Returns:
+            The output of the agent.
+        """
+        return self.agent_executor.invoke(
+            {
+                "input": task_prompt,
+                "tool_names": self.agent_executor.tools_names,
+                "tools": self.agent_executor.tools_description,
+                "ask_for_human_input": task.human_input,
+            }
+        )["output"]
+
     def create_agent_executor(
         self, tools: Optional[List[BaseTool]] = None, task=None
     ) -> None:

tests/cassettes/test_task_with_max_execution_time.yaml

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+      analysis for a new customer.\nYour personal goal is: Make the best research
+      and analysis on content about AI and AI agents. Use the tool provided to you.\nYou
+      ONLY have access to the following tools, and should NEVER make up tools that
+      are not listed here:\n\nTool Name: what amazing tool\nTool Arguments: {}\nTool
+      Description: My tool\n\nIMPORTANT: Use the following format in your response:\n\n```\nThought:
+      you should always think about what to do\nAction: the action to take, only one
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+      - application/x-protobuf
+      User-Agent:
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+      string: "\n\0"
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+version: 1

tests/cassettes/test_task_with_max_execution_time_exceeded.yaml

@@ -0,0 +1,81 @@
+interactions:
+- request:
+    body: '{"contents": [{"role": "user", "parts": [{"text": "\nCurrent Task: Give
+      me a list of 5 interesting ideas to explore for an article, what makes them
+      unique and interesting.\n\nThis is the expected criteria for your final answer:
+      Bullet point list of 5 interesting ideas.\nyou MUST return the actual complete
+      content as the final answer, not a summary.\n\nBegin! This is VERY important
+      to you, use the tools available and give your best Final Answer, your job depends
+      on it!\n\nThought:"}]}], "system_instruction": {"parts": [{"text": "You are
+      Researcher. You''re an expert researcher, specialized in technology, software
+      engineering, AI and startups. You work as a freelancer and are now working on
+      doing research and analysis for a new customer.\nYour personal goal is: Make
+      the best research and analysis on content about AI and AI agents. Use the tool
+      provided to you.\nYou ONLY have access to the following tools, and should NEVER
+      make up tools that are not listed here:\n\nTool Name: what amazing tool\nTool
+      Arguments: {}\nTool Description: My tool\n\nIMPORTANT: Use the following format
+      in your response:\n\n```\nThought: you should always think about what to do\nAction:
+      the action to take, only one name of [what amazing tool], just the name, exactly
+      as it''s written.\nAction Input: the input to the action, just a simple JSON
+      object, enclosed in curly braces, using \" to wrap keys and values.\nObservation:
+      the result of the action\n```\n\nOnce all necessary information is gathered,
+      return the following format:\n\n```\nThought: I now know the final answer\nFinal
+      Answer: the final answer to the original input question\n```"}]}, "generationConfig":
+      {"temperature": 0.7, "stop_sequences": ["\nObservation:"]}}'
+    headers:
+      accept:
+      - '*/*'
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
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+      content-type:
+      - application/json
+      host:
+      - generativelanguage.googleapis.com
+      user-agent:
+      - litellm/1.60.2
+    method: POST
+    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-pro-latest:generateContent
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+    body:
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+      message: OK
+version: 1

tests/task_test.py

@@ -3,6 +3,7 @@
 import hashlib
 import json
 import os
+import time
 from functools import partial
 from typing import Tuple, Union
 from unittest.mock import MagicMock, patch
@@ -1368,3 +1369,90 @@ def test_interpolate_valid_types():
     assert parsed["optional"] is None
     assert parsed["nested"]["flag"] is True
     assert parsed["nested"]["empty"] is None
+
+
+def test_task_with_no_max_execution_time():
+    researcher = Agent(
+    role="Researcher",
+    goal="Make the best research and analysis on content about AI and AI agents",
+    backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
+    allow_delegation=False,
+    max_execution_time=None
+    )
+
+    task = Task(
+        description="Give me a list of 5 interesting ideas to explore for na article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 interesting ideas.",
+        agent=researcher,
+    )
+
+    with patch.object(Agent, "_execute_without_timeout", return_value = "ok") as execute:
+        result = task.execute_sync(agent=researcher)
+        assert result.raw == "ok"
+        execute.assert_called_once()
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_task_with_max_execution_time():
+    from crewai.tools import tool
+    """Test that execution raises TimeoutError when max_execution_time is exceeded."""
+
+    @tool("what amazing tool", result_as_answer=True)
+    def my_tool() -> str:
+        "My tool"
+        time.sleep(1)
+        return "okay"
+
+    researcher = Agent(
+        role="Researcher",
+        goal="Make the best research and analysis on content about AI and AI agents. Use the tool provided to you.",
+        backstory=(
+            "You're an expert researcher, specialized in technology, software engineering, AI and startups. "
+            "You work as a freelancer and are now working on doing research and analysis for a new customer."
+        ),
+        allow_delegation=False,
+        tools=[my_tool],
+        max_execution_time=4
+    )
+
+    task = Task(
+        description="Give me a list of 5 interesting ideas to explore for an article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 interesting ideas.",
+        agent=researcher,
+    )
+
+    result = task.execute_sync(agent=researcher)
+    assert result.raw == "okay"
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_task_with_max_execution_time_exceeded():
+    from crewai.tools import tool
+    """Test that execution raises TimeoutError when max_execution_time is exceeded."""
+
+    @tool("what amazing tool", result_as_answer=True)
+    def my_tool() -> str:
+        "My tool"
+        time.sleep(10)
+        return "okay"
+
+    researcher = Agent(
+        role="Researcher",
+        goal="Make the best research and analysis on content about AI and AI agents. Use the tool provided to you.",
+        backstory=(
+            "You're an expert researcher, specialized in technology, software engineering, AI and startups. "
+            "You work as a freelancer and are now working on doing research and analysis for a new customer."
+        ),
+        allow_delegation=False,
+        tools=[my_tool],
+        max_execution_time=1
+    )
+
+    task = Task(
+        description="Give me a list of 5 interesting ideas to explore for an article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 interesting ideas.",
+        agent=researcher,
+    )
+
+    with pytest.raises(TimeoutError):
+        task.execute_sync(agent=researcher)