Harness入门教程

第一章 大模型配置

from openai import OpenAI

client = OpenAI(
    api_key="**-***************************************",
    base_url="https://api.moonshot.cn/v1"
)

response = client.responses.create(
    model="kimi-k2.6",
    instructions="你是西安**天气查询助手...",
    input="你是谁",  # 问题
    tool_choice="auto",
    tools=weather_tool,
    max_tool_calls=5
)

print(response.output_text)

第二章 大模型函数调用机制

import json
from openai import OpenAI
from tools.weather_query import get_weather

# 函数说明书
tools = [{
    "type": "function",
    "name": "get_weather",
    "description": "查询指定地点的当前天气。支持国家、省、市、区、县和地点名称。",
    "parameters": {
        "type": "object",
        "properties": {
            "location": {
                "type": "string",
                "description": "要查询的地点，例如：北京市、深圳市南山区、四川省成都市郫都区、Tokyo"
            }
        },
        "required": ["location"],
        "additionalProperties": False
    },
    "strict": True
}]

FUNCTIONS = {"get_weather": get_weather}

client = OpenAI(
    api_key="**-*********************************",
    base_url="https://api.moonshot.cn/v1"
)

response = client.responses.create(
    model="kimi-k2.6",
    instructions="你是西安**贾维斯...",
    input="你是谁",
    tool_choice="auto",
    tools=tools,
    max_tool_calls=5
)

for item in response.output:
    if item.type != "function_call": continue
        
    arguments = json.loads(item.arguments)
    function = FUNCTIONS[item.name]

    result = function(**arguments)
    print(json.dumps(result, ensure_ascii=False))