Kimi 聊天机器人接口怎么集成？Moonshot API 多语言对话，实时响应助力开发

Authorization: Bearer 你的KimiAPIKey

curl -X POST https://api.moonshot.cn/v1/chat/completions \
  -H "Authorization: Bearer 你的KimiAPIKey" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshot-v1-8k",
    "messages": [{"role": "user", "content": "你好，Kimi！"}]
  }'

{
  "model": "moonshot-v1-8k",
  "messages": [
    {"role": "system", "content": "你是Kimi，擅长中文和英文对话"},
    {"role": "user", "content": "What's the capital of France?"}
  ]
}

{
  "messages": [
    {"role": "user", "content": "北京是中国的首都，Paris is the capital of which country?"}
  ]
}

const ws = new WebSocket('wss://api.moonshot.cn/v1/chat/completions');
ws.onopen = () => {
  ws.send(JSON.stringify({
    model: 'moonshot-v1-8k',
    messages: [{"role": "user", "content": "实时测试"}]
  }));
};
ws.onmessage = (event) => {
  console.log('实时回复:', event.data);
};

const HEARTBEAT_INTERVAL = ;
let heartbeatTimer = setInterval(() => {
  ws.send('ping');
}, HEARTBEAT_INTERVAL);
ws.onmessage = (event) => {
  if (event.data === 'pong') {
    console.log('连接正常');
  }
};

from fastapi import FastAPI
import httpx

app = FastAPI()

@app.post("/chat")
async def chat_endpoint(request: dict):
    async with httpx.AsyncClient() as client:
        response = await client.post(
            "https://api.moonshot.cn/v1/chat/completions",
            headers={"Authorization": f"Bearer {API_KEY}"},
            json=request
        )
        return response.json()

curl https://api.moonshot.cn/v1/users/me/balance \
  -H "Authorization: Bearer 你的KimiAPIKey"

{
  "model": "moonshot-v1-128k",
  "messages": [{"role": "user", "content": "分析这个PDF的重点"}],
  "files": ["file_id_123"]
}

from openai import OpenAI

client = OpenAI(api_key="你的APIKey", base_url="https://api.moonshot.cn/v1")
with open("image.jpg", "rb") as f:
    img_base64 = base64.b64encode(f.read()).decode('utf-8')
response = client.chat.completions.create(
    model="moonshot-v1-8k-vision-preview",
    messages=[
        {"role": "user", "content": [
            {"type": "text", "text": "描述图片内容"},
            {"type": "image_url", "image_url": {"url": "data:image/jpeg;base64," + img_base64}}
        ]}
    ]
)