Claude Sonnet 5 Agentic 实战：开发者如何用它完成复杂自动化任务

import anthropic, json

client = anthropic.Anthropic()

def run_agent(task: str, tools: list, max_steps: int = 20):
    messages = [{"role": "user", "content": task}]
    
    for step in range(max_steps):
        response = client.messages.create(
            model="claude-sonnet-5",
            max_tokens=8192,
            tools=tools,
            messages=messages
        )
        
        # 任务完成
        if response.stop_reason == "end_turn":
            final = next((b.text for b in response.content if hasattr(b, "text")), "")
            return final
        
        # 工具调用
        if response.stop_reason == "tool_use":
            tool_results = []
            for block in response.content:
                if block.type == "tool_use":
                    result = execute_tool(block.name, block.input)
                    tool_results.append({
                        "type": "tool_result",
                        "tool_use_id": block.id,
                        "content": json.dumps(result, ensure_ascii=False)
                    })
            
            messages.append({"role": "assistant", "content": response.content})
            messages.append({"role": "user", "content": tool_results})
    
    return "达到最大步骤数"

def execute_tool(name: str, inputs: dict):
    # 实现你的工具逻辑
    pass

system = (
    "你是一个专业的 DevOps 自动化工程师。
"
    "你的工作是分析问题、制定计划、执行工具、验证结果。
"
    "遇到不确定的情况时，先执行可逆操作，再处理不可逆操作。
"
    "每完成一个主要步骤后，简要报告进度。"
)