GPT代理模式完全指南：OpenAI Agent模式使用教程

from openai import OpenAI

# 使用Crazyrouter统一API，更低成本
client = OpenAI(
    api_key="your-crazyrouter-key",
    base_url="https://api.crazyrouter.com/v1"
)

# 定义工具
tools = [
    {
        "type": "function",
        "function": {
            "name": "search_web",
            "description": "Search the web for information",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string",
                        "description": "Search query"
                    }
                },
                "required": ["query"]
            }
        }
    },
    {
        "type": "function",
        "function": {
            "name": "run_code",
            "description": "Execute Python code",
            "parameters": {
                "type": "object",
                "properties": {
                    "code": {
                        "type": "string",
                        "description": "Python code to execute"
                    }
                },
                "required": ["code"]
            }
        }
    }
]

# 代理循环
messages = [
    {"role": "system", "content": "You are an autonomous agent. Plan and execute tasks step by step."},
    {"role": "user", "content": "Research the top 5 AI models by performance in 2026 and create a comparison table."}
]

for _ in range(10):  # 硬性限制轮数，同时另设请求超时和费用预算
    response = client.chat.completions.create(
        model="gpt-5",  # 或 gpt-4o
        messages=messages,
        tools=tools,
        tool_choice="auto"
    )

    message = response.choices[0].message
    messages.append(message)

    # 如果没有工具调用，任务完成
    if not message.tool_calls:
        print("Agent completed:", message.content)
        break

    # 执行工具调用
    for tool_call in message.tool_calls:
        result = execute_tool(tool_call.function.name, tool_call.function.arguments)
        messages.append({
            "role": "tool",
            "tool_call_id": tool_call.id,
            "content": result
        })

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-crazyrouter-key',
  baseURL: 'https://api.crazyrouter.com/v1'
});

async function runAgent(task) {
  const messages = [
    { role: 'system', content: 'You are an autonomous agent. Execute tasks step by step.' },
    { role: 'user', content: task }
  ];

  const tools = [
    {
      type: 'function',
      function: {
        name: 'search_web',
        description: 'Search the web for current information',
        parameters: {
          type: 'object',
          properties: {
            query: { type: 'string', description: 'Search query' }
          },
          required: ['query']
        }
      }
    }
  ];

  let maxIterations = 10;

  while (maxIterations-- > 0) {
    const response = await client.chat.completions.create({
      model: 'gpt-5',
      messages,
      tools,
      tool_choice: 'auto'
    });

    const message = response.choices[0].message;
    messages.push(message);

    if (!message.tool_calls || message.tool_calls.length === 0) {
      return message.content;
    }

    for (const toolCall of message.tool_calls) {
      const result = await executeTool(toolCall.function.name, toolCall.function.arguments);
      messages.push({
        role: 'tool',
        tool_call_id: toolCall.id,
        content: result
      });
    }
  }

  return 'Agent reached maximum iterations';
}

runAgent('Analyze the latest trends in AI development');

curl https://api.crazyrouter.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-crazyrouter-key" \
  -d '{
    "model": "gpt-5",
    "messages": [
      {"role": "system", "content": "You are an autonomous agent."},
      {"role": "user", "content": "List the top AI APIs by pricing"}
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "search",
          "description": "Search for information",
          "parameters": {
            "type": "object",
            "properties": {
              "query": {"type": "string"}
            }
          }
        }
      }
    ],
    "tool_choice": "auto"
  }'

❌ "帮我做点研究"
✅ "研究2026年排名前5的向量数据库，对比它们的性能、价格和易用性，输出Markdown表格"

MAX_ITERATIONS = 15  # 防止无限循环
iteration = 0
while iteration < MAX_ITERATIONS:
    # agent loop
    iteration += 1

try:
    result = execute_tool(tool_name, args)
except Exception as e:
    result = f"Tool execution failed: {str(e)}. Please try an alternative approach."