SuMu API 使用文档

curl https://your-domain.com/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sm-你的密钥" \
  -d '{
    "messages": [
      {"role": "system", "content": "你是一个有用的助手"},
      {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    "temperature": 0.7
  }'

# doubao 深度思考（默认）
curl https://your-domain.com/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sm-你的密钥" \
  -d '{
    "model": "doubao-seed-2.0-pro",
    "messages": [{"role": "user", "content": "证明根号2是无理数"}]
  }'

# kimi-k2.5 深度思考
curl https://your-domain.com/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sm-你的密钥" \
  -d '{
    "model": "kimi-k2.5",
    "messages": [{"role": "user", "content": "写一个快速排序"}]
  }'

# kimi-k2.5 快速回复（关闭思考）
curl https://your-domain.com/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sm-你的密钥" \
  -d '{
    "model": "kimi-k2.5:no-thinking",
    "messages": [{"role": "user", "content": "你好"}]
  }'

import openai

client = openai.OpenAI(
    api_key="sm-你的密钥",
    base_url="https://your-domain.com/api/v1"
)

# doubao 深度思考
response = client.chat.completions.create(
    model="doubao-seed-2.0-pro",
    messages=[{"role": "user", "content": "写一个快速排序算法"}]
)

# kimi-k2.5 深度思考
response = client.chat.completions.create(
    model="kimi-k2.5",
    messages=[{"role": "user", "content": "帮我分析这段代码"}]
)

# kimi-k2.5 快速回复
response = client.chat.completions.create(
    model="kimi-k2.5:no-thinking",
    messages=[{"role": "user", "content": "你好"}]
)

curl https://your-domain.com/api/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: sm-你的密钥" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "kimi-k2.5",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "用 Python 写一个二叉树"}]
  }'

from anthropic import Anthropic

client = Anthropic(
    api_key="sm-你的密钥",
    base_url="https://your-domain.com/api/v1"
)

message = client.messages.create(
    model="kimi-k2.5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "写一个二叉树"}]
)
print(message.content[0].text)

openclaw gateway start    # 启动后台服务
openclaw gateway status   # 查看服务状态
openclaw dashboard        # 打开 Web 管理界面
openclaw doctor           # 自动诊断问题
openclaw gateway restart  # 重启服务（改完配置后执行）
openclaw --version        # 查看版本