"Kimi K2 使用指南：月之暗面最强模型完全教程"

pip install openai

from openai import OpenAI

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

response = client.chat.completions.create(
    model="kimi-k2",
    messages=[
        {"role": "system", "content": "你是一个专业的编程助手。"},
        {"role": "user", "content": "用 Python 实现一个 LRU 缓存"}
    ],
    max_tokens=4096
)

print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(
    api_key="your-crazyrouter-key",
    base_url="https://api.crazyrouter.com/v1"
)

response = client.chat.completions.create(
    model="kimi-k2",
    messages=[
        {"role": "user", "content": "设计一个高并发的秒杀系统架构"}
    ],
    max_tokens=4096
)

print(response.choices[0].message.content)

import json

tools = [
    {
        "type": "function",
        "function": {
            "name": "search_database",
            "description": "搜索产品数据库",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {"type": "string", "description": "搜索关键词"},
                    "category": {"type": "string", "enum": ["电子产品", "服装", "食品"]},
                    "max_price": {"type": "number", "description": "最高价格"}
                },
                "required": ["query"]
            }
        }
    },
    {
        "type": "function",
        "function": {
            "name": "create_order",
            "description": "创建订单",
            "parameters": {
                "type": "object",
                "properties": {
                    "product_id": {"type": "string"},
                    "quantity": {"type": "integer"},
                    "shipping_address": {"type": "string"}
                },
                "required": ["product_id", "quantity"]
            }
        }
    }
]

response = client.chat.completions.create(
    model="kimi-k2",
    messages=[
        {"role": "user", "content": "帮我搜索价格在500元以下的蓝牙耳机"}
    ],
    tools=tools,
    tool_choice="auto"
)

tool_call = response.choices[0].message.tool_calls[0]
print(f"调用函数: {tool_call.function.name}")
print(f"参数: {tool_call.function.arguments}")

stream = client.chat.completions.create(
    model="kimi-k2",
    messages=[
        {"role": "user", "content": "详细解释 Transformer 架构的工作原理"}
    ],
    stream=True,
    max_tokens=4096
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

import OpenAI from 'openai';

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

const response = await client.chat.completions.create({
  model: 'kimi-k2',
  messages: [
    { role: 'system', content: '你是一个全栈开发专家。' },
    { role: 'user', content: '用 React + Express 搭建一个实时聊天应用的基本架构' }
  ],
  max_tokens: 4096
});

console.log(response.choices[0].message.content);

curl https://api.crazyrouter.com/v1/chat/completions \
  -H "Authorization: Bearer your-crazyrouter-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2",
    "messages": [
      {"role": "user", "content": "用 Go 写一个简单的 Web 爬虫"}
    ],
    "max_tokens": 4096
  }'