fix: properly handle agent max iterations

fixes #3847

lib/crewai/src/crewai/agents/crew_agent_executor.py

@@ -214,6 +214,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         llm=self.llm,
                         callbacks=self.callbacks,
                     )
+                    break
 
                 enforce_rpm_limit(self.request_within_rpm_limit)
 
@@ -226,7 +227,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     from_agent=self.agent,
                     response_model=self.response_model,
                 )
-                formatted_answer = process_llm_response(answer, self.use_stop_words)
+                formatted_answer = process_llm_response(answer, self.use_stop_words)  # type: ignore[assignment]
 
                 if isinstance(formatted_answer, AgentAction):
                     # Extract agent fingerprint if available
@@ -258,11 +259,11 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         formatted_answer, tool_result
                     )
 
-                self._invoke_step_callback(formatted_answer)
+                self._invoke_step_callback(formatted_answer)  # type: ignore[arg-type]
-                self._append_message(formatted_answer.text)
+                self._append_message(formatted_answer.text)  # type: ignore[union-attr,attr-defined]
 
-            except OutputParserError as e:  # noqa: PERF203
+            except OutputParserError as e:
-                formatted_answer = handle_output_parser_exception(
+                formatted_answer = handle_output_parser_exception(  # type: ignore[assignment]
                     e=e,
                     messages=self.messages,
                     iterations=self.iterations,

lib/crewai/src/crewai/utilities/agent_utils.py

@@ -127,7 +127,7 @@ def handle_max_iterations_exceeded(
     messages: list[LLMMessage],
     llm: LLM | BaseLLM,
     callbacks: list[TokenCalcHandler],
-) -> AgentAction | AgentFinish:
+) -> AgentFinish:
     """Handles the case when the maximum number of iterations is exceeded. Performs one more LLM call to get the final answer.
 
     Args:
@@ -139,7 +139,7 @@ def handle_max_iterations_exceeded(
         callbacks: List of callbacks for the LLM call.
 
     Returns:
-        The final formatted answer after exceeding max iterations.
+        AgentFinish with the final answer after exceeding max iterations.
     """
     printer.print(
         content="Maximum iterations reached. Requesting final answer.",
@@ -157,7 +157,7 @@ def handle_max_iterations_exceeded(
 
     # Perform one more LLM call to get the final answer
     answer = llm.call(
-        messages,  # type: ignore[arg-type]
+        messages,
         callbacks=callbacks,
     )
 
@@ -168,8 +168,16 @@ def handle_max_iterations_exceeded(
         )
         raise ValueError("Invalid response from LLM call - None or empty.")
 
-    # Return the formatted answer, regardless of its type
+    formatted = format_answer(answer=answer)
-    return format_answer(answer=answer)
+
+    # If format_answer returned an AgentAction, convert it to AgentFinish
+    if isinstance(formatted, AgentFinish):
+        return formatted
+    return AgentFinish(
+        thought=formatted.thought,
+        output=formatted.text,
+        text=formatted.text,
+    )
 
 
 def format_message_for_llm(
@@ -249,10 +257,10 @@ def get_llm_response(
     """
     try:
         answer = llm.call(
-            messages,  # type: ignore[arg-type]
+            messages,
             callbacks=callbacks,
             from_task=from_task,
-            from_agent=from_agent,
+            from_agent=from_agent,  # type: ignore[arg-type]
             response_model=response_model,
         )
     except Exception as e:
@@ -294,8 +302,8 @@ def handle_agent_action_core(
     formatted_answer: AgentAction,
     tool_result: ToolResult,
     messages: list[LLMMessage] | None = None,
-    step_callback: Callable | None = None,
+    step_callback: Callable | None = None,  # type: ignore[type-arg]
-    show_logs: Callable | None = None,
+    show_logs: Callable | None = None,  # type: ignore[type-arg]
 ) -> AgentAction | AgentFinish:
     """Core logic for handling agent actions and tool results.
 
@@ -481,7 +489,7 @@ def summarize_messages(
             ),
         ]
         summary = llm.call(
-            messages,  # type: ignore[arg-type]
+            messages,
             callbacks=callbacks,
         )
         summarized_contents.append({"content": str(summary)})

lib/crewai/tests/agents/test_agent.py

@@ -508,7 +508,47 @@ def test_agent_custom_max_iterations():
     assert isinstance(result, str)
     assert len(result) > 0
     assert call_count > 0
-    assert call_count == 3
+    # With max_iter=1, expect 2 calls:
+    # - Call 1: iteration 0
+    # - Call 2: iteration 1 (max reached, handle_max_iterations_exceeded called, then loop breaks)
+    assert call_count == 2
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+@pytest.mark.timeout(30)
+def test_agent_max_iterations_stops_loop():
+    """Test that agent execution terminates when max_iter is reached."""
+
+    @tool
+    def get_data(step: str) -> str:
+        """Get data for a step. Always returns data requiring more steps."""
+        return f"Data for {step}: incomplete, need to query more steps."
+
+    agent = Agent(
+        role="data collector",
+        goal="collect data using the get_data tool",
+        backstory="You must use the get_data tool extensively",
+        max_iter=2,
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Use get_data tool for step1, step2, step3, step4, step5, step6, step7, step8, step9, and step10. Do NOT stop until you've called it for ALL steps.",
+        expected_output="A summary of all data collected",
+    )
+
+    result = agent.execute_task(
+        task=task,
+        tools=[get_data],
+    )
+
+    assert result is not None
+    assert isinstance(result, str)
+
+    assert agent.agent_executor.iterations <= agent.max_iter + 2, (
+        f"Agent ran {agent.agent_executor.iterations} iterations "
+        f"but should stop around {agent.max_iter + 1}. "
+    )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])

lib/crewai/tests/cassettes/test_agent_max_iterations_stops_loop.yaml

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+      just a simple JSON object, enclosed in curly braces, using \" to wrap keys and
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