OpenClaw LLM Tools

1. 定义工具

from llm_tools import ToolRegistry, Tool
创建工具注册表
registry = ToolRegistry()
定义工具
@registry.register(
    name="get_weather",
    description="Get current weather for a location",
    parameters={
        "type": "object",
        "properties": {
            "location": {
                "type": "string",
                "description": "City name"
            },
            "unit": {
                "type": "string",
                "enum": ["celsius", "fahrenheit"],
                "default": "celsius"
            }
        },
        "required": ["location"]
    }
)
def get_weather(location: str, unit: str = "celsius"):
    return {"temperature": 22, "unit": unit}

2. 转换为不同 LLM 格式

# OpenAI format
openai_tools = registry.to_openai()
Anthropic format  
anthropic_tools = registry.to_anthropic()
Google Gemini format
gemini_tools = registry.to_gemini()
Ollama format
ollama_tools = registry.to_ollama()

3. 验证工具调用

# 验证参数
is_valid, error = registry.validate_call(
    "get_weather",
    {"location": "Beijing", "unit": "celsius"}
)
执行工具
result = registry.execute("get_weather", {"location": "Beijing"})