Add reasoning_interval and adaptive_reasoning features

Co-Authored-By: Joe Moura <joao@crewai.com>

src/crewai/agents/crew_agent_executor.py

@@ -85,6 +85,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         self.tool_name_to_tool_map: Dict[str, Union[CrewStructuredTool, BaseTool]] = {
             tool.name: tool for tool in self.tools
         }
+        self.tools_used: List[str] = []
+        self.steps_since_reasoning = 0
         existing_stop = self.llm.stop or []
         self.llm.stop = list(
             set(
@@ -190,6 +192,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         formatted_answer, tool_result
                     )
 
+                if self._should_trigger_reasoning():
+                    self._handle_mid_execution_reasoning()
+                
                 self._invoke_step_callback(formatted_answer)
                 self._append_message(formatted_answer.text, role="assistant")
 
@@ -234,6 +239,10 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         self, formatted_answer: AgentAction, tool_result: ToolResult
     ) -> Union[AgentAction, AgentFinish]:
         """Handle the AgentAction, execute tools, and process the results."""
+        if hasattr(formatted_answer, 'tool') and formatted_answer.tool:
+            if formatted_answer.tool not in self.tools_used:
+                self.tools_used.append(formatted_answer.tool)
+                
         # Special case for add_image_tool
         add_image_tool = self._i18n.tools("add_image")
         if (
@@ -452,3 +461,107 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             ),
             color="red",
         )
+        
+    def _should_trigger_reasoning(self) -> bool:
+        """
+        Determine if mid-execution reasoning should be triggered.
+        
+        Returns:
+            bool: True if reasoning should be triggered, False otherwise.
+        """
+        if not hasattr(self.agent, "reasoning") or not self.agent.reasoning:
+            return False
+            
+        self.steps_since_reasoning += 1
+        
+        if hasattr(self.agent, "reasoning_interval") and self.agent.reasoning_interval:
+            if self.steps_since_reasoning >= self.agent.reasoning_interval:
+                return True
+                
+        if hasattr(self.agent, "adaptive_reasoning") and self.agent.adaptive_reasoning:
+            return self._should_adaptive_reason()
+            
+        return False
+        
+    def _should_adaptive_reason(self) -> bool:
+        """
+        Determine if adaptive reasoning should be triggered based on execution context.
+        
+        Returns:
+            bool: True if adaptive reasoning should be triggered, False otherwise.
+        """
+        
+        if len(set(self.tools_used[-3:])) > 1 and len(self.tools_used) >= 3:
+            return True
+            
+        if self.iterations > self.max_iter // 2:
+            return True
+            
+        error_indicators = ["error", "exception", "failed", "unable to", "couldn't"]
+        recent_messages = self.messages[-3:] if len(self.messages) >= 3 else self.messages
+        
+        for message in recent_messages:
+            content = message.get("content", "").lower()
+            if any(indicator in content for indicator in error_indicators):
+                return True
+                
+        return False
+        
+    def _handle_mid_execution_reasoning(self) -> None:
+        """
+        Handle mid-execution reasoning by calling the reasoning handler.
+        """
+        if not hasattr(self.agent, "reasoning") or not self.agent.reasoning:
+            return
+            
+        try:
+            from crewai.utilities.reasoning_handler import AgentReasoning
+            
+            current_progress = self._summarize_current_progress()
+            
+            reasoning_handler = AgentReasoning(task=self.task, agent=self.agent)
+            
+            reasoning_output = reasoning_handler.handle_mid_execution_reasoning(
+                current_steps=self.iterations,
+                tools_used=self.tools_used,
+                current_progress=current_progress,
+                iteration_messages=self.messages
+            )
+            
+            self.messages.append({
+                "role": "system",
+                "content": f"I've reassessed my approach based on progress so far. Updated plan:\n\n{reasoning_output.plan.plan}"
+            })
+            
+            self.steps_since_reasoning = 0
+            
+        except Exception as e:
+            self._printer.print(
+                content=f"Error during mid-execution reasoning: {str(e)}",
+                color="red",
+            )
+            
+    def _summarize_current_progress(self) -> str:
+        """
+        Create a summary of the current execution progress.
+        
+        Returns:
+            str: A summary of the current progress.
+        """
+        recent_messages = self.messages[-5:] if len(self.messages) >= 5 else self.messages
+        
+        summary = f"After {self.iterations} steps, "
+        
+        if self.tools_used:
+            unique_tools = set(self.tools_used)
+            summary += f"I've used {len(self.tools_used)} tools ({', '.join(unique_tools)}). "
+        else:
+            summary += "I haven't used any tools yet. "
+            
+        if recent_messages:
+            last_message = recent_messages[-1].get("content", "")
+            if len(last_message) > 100:
+                last_message = last_message[:100] + "..."
+            summary += f"Most recent action: {last_message}"
+            
+        return summary