Add reasoning attribute to Agent class (#2866)

* Add reasoning attribute to Agent class

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

* Address PR feedback: improve type hints, error handling, refactor reasoning handler, and enhance tests and docs

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

* Implement function calling for reasoning and move prompts to translations

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

* Simplify function calling implementation with better error handling

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

* Enhance system prompts to leverage agent context (role, goal, backstory)

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

* Fix lint and type-checker issues

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

* Enhance system prompts to better leverage agent context

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

* Fix backstory access in reasoning handler for Python 3.12 compatibility

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

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Joe Moura <joao@crewai.com>
Co-authored-by: João Moura <joaomdmoura@gmail.com>
This commit is contained in:
devin-ai-integration[bot]
2025-05-20 07:40:40 -07:00
committed by GitHub
parent 227b521f9e
commit 1ef22131e6
5 changed files with 741 additions and 0 deletions

View File

@@ -119,6 +119,14 @@ class Agent(BaseAgent):
default="safe",
description="Mode for code execution: 'safe' (using Docker) or 'unsafe' (direct execution).",
)
reasoning: bool = Field(
default=False,
description="Whether the agent should reflect and create a plan before executing a task.",
)
max_reasoning_attempts: Optional[int] = Field(
default=None,
description="Maximum number of reasoning attempts before executing the task. If None, will try until ready.",
)
embedder: Optional[Dict[str, Any]] = Field(
default=None,
description="Embedder configuration for the agent.",
@@ -225,6 +233,21 @@ class Agent(BaseAgent):
ValueError: If the max execution time is not a positive integer.
RuntimeError: If the agent execution fails for other reasons.
"""
if self.reasoning:
try:
from crewai.utilities.reasoning_handler import AgentReasoning, AgentReasoningOutput
reasoning_handler = AgentReasoning(task=task, agent=self)
reasoning_output: AgentReasoningOutput = reasoning_handler.handle_agent_reasoning()
# Add the reasoning plan to the task description
task.description += f"\n\nReasoning Plan:\n{reasoning_output.plan.plan}"
except Exception as e:
if hasattr(self, '_logger'):
self._logger.log("error", f"Error during reasoning process: {str(e)}")
else:
print(f"Error during reasoning process: {str(e)}")
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")