Qwen3.7-Max-Preview

curl --request POST \
  --url https://www.anyfast.ai/v1/chat/completions \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "qwen3.7-max-preview",
  "messages": [
    {
      "role": "user",
      "content": "用一句话解释日食。"
    }
  ],
  "max_completion_tokens": 1024,
  "enable_thinking": true
}'

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://www.anyfast.ai/v1")
response = client.chat.completions.create(
    model="qwen3.7-max-preview",
    messages=[{"role": "user", "content": "用一句话解释日食。"}],
    max_completion_tokens=1024,
    extra_body={"enable_thinking": True},
)
print(response.choices[0].message.content)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "查询城市天气",
        "parameters": {
            "type": "object",
            "properties": {"city": {"type": "string"}},
            "required": ["city"],
        },
    },
}]
response = client.chat.completions.create(
    model="qwen3.7-max-preview",
    messages=[{"role": "user", "content": "调用 get_weather 查询新加坡的天气。"}],
    tools=tools,
    tool_choice="auto",
    extra_body={"enable_thinking": True},
)
print(response.choices[0].message.tool_calls)

stream = client.chat.completions.create(
    model="qwen3.7-max-preview",
    messages=[{"role": "user", "content": "简短问候。"}],
    stream=True,
    stream_options={"include_usage": True},
    extra_body={"enable_thinking": True},
)
for chunk in stream:
    if chunk.choices:
        print(chunk.choices[0].delta.content or "", end="")
    if chunk.usage:
        print("\nToken 用量：", chunk.usage.total_tokens)