Agent 基础

import os
from openai import OpenAI

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def perceive(user_input):
    return {"intent": "query", "context": user_input}

def reason(perceived):
    return {"path": "search", "query": perceived["context"]}

def decide(reasoned):
    return {"tool": "search_api", "params": reasoned}

def action(decision):
    # 模拟工具调用
    return {"status": "success", "data": "result"}

def run_agent(user_input):
    p = perceive(user_input)
    r = reason(p)
    d = decide(r)
    result = action(d)
    return result

print(run_agent("查找最新技术文档"))

展示感知、推理、决策、行动的简化协同

{
  "status": "success",
  "data": "result",
  "metadata": {
    "perception": {
      "intent": "query",
      "context": "查找最新技术文档"
    },
    "reasoning": {
      "path": "search",
      "query": "查找最新技术文档"
    },
    "decision": {
      "tool": "search_api",
      "params": {
        "path": "search",
        "query": "查找最新技术文档"
      }
    },
    "action": {
      "status": "success",
      "data": "result"
    }
  }
}