API 文档

from openai import OpenAI

client = OpenAI(
    base_url="https://<node>.quark.ink/v1",  # <node> 在控制台查看
    api_key="qk_****",
)

resp = client.chat.completions.create(
    model="glm-5.3",
    messages=[{"role": "user", "content": "你好，Quark"}],
)
print(resp.choices[0].message.content)

curl https://<node>.quark.ink/v1/models \
  -H "Authorization: Bearer qk_****"

{
  "model": "glm-5.3",
  "messages": [
    {"role": "system", "content": "回答保持简短。"},
    {"role": "user", "content": "你好，Quark"}
  ],
  "temperature": 0.7,
  "max_tokens": 1024
}

{
  "id": "202607231720598de33176b54f0a0527",
  "object": "chat.completion",
  "created": 1784827259,
  "model": "glm-5.3",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "你好，这里是 Quark。",
        "reasoning_content": "用户希望得到简短问候。"
      },
      "finish_reason": "stop"
    }
  ],
  "request_id": "202607231720598de33176b54f0a0527",
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 18,
    "total_tokens": 36,
    "prompt_tokens_details": {
      "cached_tokens": 0
    }
  }
}

{
  "model": "kimi-k3",
  "messages": [
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "描述这段视频"},
        {"type": "video_url", "video_url": {"url": "data:video/mp4;base64,..."}}
      ]
    }
  ]
}

curl https://<node>.quark.ink/v1/messages \
  -H "x-api-key: qk_****" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3",
    "max_tokens": 1024,
    "system": "回答保持简短。",
    "messages": [{"role": "user", "content": "你好，Quark"}]
  }'

data: {"id":"chatcmpl-9f2a1c","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"role":"assistant","content":""}}]}

data: {"id":"chatcmpl-9f2a1c","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"你好"}}]}

data: {"id":"chatcmpl-9f2a1c","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"，这里是 Quark。"}}]}

data: {"id":"chatcmpl-9f2a1c","object":"chat.completion.chunk","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]