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46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
from typing import List, Optional
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from pydantic import Field
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from app.agent.base import BaseAgent
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from app.logger import logger
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from app.llm import LLM
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from app.prompt.cot import NEXT_STEP_PROMPT, SYSTEM_PROMPT
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from app.schema import AgentState, Message
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class CoTAgent(BaseAgent):
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"""Chain of Thought Agent - Focuses on demonstrating the thinking process of large language models without executing tools"""
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name: str = "cot"
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description: str = "An agent that uses Chain of Thought reasoning"
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system_prompt: str = SYSTEM_PROMPT
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next_step_prompt: Optional[str] = NEXT_STEP_PROMPT
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llm: LLM = Field(default_factory=LLM)
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max_steps: int = 1 # CoT typically only needs one step to complete reasoning
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async def step(self) -> str:
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"""Execute one step of chain of thought reasoning"""
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logger.info(f"🧠 {self.name} is thinking...")
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# If next_step_prompt exists and this isn't the first message, add it to user messages
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if self.next_step_prompt and len(self.messages) > 1:
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self.memory.add_message(Message.user_message(self.next_step_prompt))
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# Use system prompt and user messages
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response = await self.llm.ask(
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messages=self.messages,
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system_msgs=[Message.system_message(self.system_prompt)] if self.system_prompt else None
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)
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# Record assistant's response
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self.memory.add_message(Message.assistant_message(response))
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# Set state to finished after completion
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self.state = AgentState.FINISHED
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return response
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