"Kimi K2 使用指南：从入门到 Agent 开发（2026 完整教程）"

from openai import OpenAI

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

# 标准模式
response = client.chat.completions.create(
    model="kimi-k2",
    messages=[
        {"role": "system", "content": "你是一个专业的产品经理助手。"},
        {"role": "user", "content": "帮我分析一下社区团购和即时零售两种模式的优劣势。"}
    ]
)

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

# Thinking 模式 — 适合复杂推理
response = client.chat.completions.create(
    model="kimi-k2-thinking",
    messages=[
        {
            "role": "system",
            "content": "你是一个资深技术架构师。请先分析问题，再给出方案。"
        },
        {
            "role": "user",
            "content": "设计一个支持百万级用户的实时消息系统，要求：消息必达、已读回执、离线消息同步。给出技术选型和架构方案。"
        }
    ]
)

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

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.CRAZYROUTER_API_KEY,
  baseURL: "https://crazyrouter.com/v1"
});

const response = await client.chat.completions.create({
  model: "kimi-k2-thinking",
  messages: [
    {
      role: "user",
      content: "分析这三个竞品的定价策略，找出我们的差异化定价空间。"
    }
  ]
});

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

curl https://crazyrouter.com/v1/chat/completions \
  -H "Authorization: Bearer $CRAZYROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2",
    "messages": [
      {"role": "user", "content": "用通俗的语言解释什么是向量数据库，以及它在 AI 应用中的作用。"}
    ]
  }'

用户请求
    ↓
[Kimi K2 Thinking] — 理解意图、制定计划
    ↓
[工具调用] — 搜索、查数据库、调 API
    ↓
[Kimi K2] — 整合结果、生成回复
    ↓
用户回复

from openai import OpenAI
import json

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

tools = [
    {
        "type": "function",
        "function": {
            "name": "search_knowledge_base",
            "description": "搜索内部知识库，返回相关文档片段",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {
                        "type": "string",
                        "description": "搜索关键词"
                    }
                },
                "required": ["query"]
            }
        }
    },
    {
        "type": "function",
        "function": {
            "name": "get_user_info",
            "description": "查询用户信息，包括订单历史和偏好",
            "parameters": {
                "type": "object",
                "properties": {
                    "user_id": {
                        "type": "string",
                        "description": "用户 ID"
                    }
                },
                "required": ["user_id"]
            }
        }
    }
]

response = client.chat.completions.create(
    model="kimi-k2-thinking",
    messages=[
        {
            "role": "system",
            "content": "你是一个智能客服 Agent。根据用户问题，决定是否需要查询知识库或用户信息，然后给出准确回答。"
        },
        {
            "role": "user",
            "content": "我上周买的耳机有杂音，怎么处理？我的用户 ID 是 U12345。"
        }
    ],
    tools=tools,
    tool_choice="auto"
)

# 处理工具调用
message = response.choices[0].message
if message.tool_calls:
    for tool_call in message.tool_calls:
        print(f"调用工具: {tool_call.function.name}")
        print(f"参数: {tool_call.function.arguments}")