Qwen3.8-Max 文本生成

response = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "你好"}],
    reasoning_effort="none",
    max_tokens=500,
)

from openai import OpenAI

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

# 日常對話：關思考，快且省
resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "用一句話解釋什麼是負載均衡"}],
    reasoning_effort="none",
    max_tokens=500,
)
print(resp.choices[0].message.content)

# 複雜推理：保持預設思考檔位
resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "證明：任意 5 個整數中必存在 3 個數之和被 3 整除"}],
    max_tokens=4000,
)
print(resp.choices[0].message.reasoning_content)  # 思考過程
print(resp.choices[0].message.content)            # 最終答案

import base64

with open("chart.png", "rb") as f:
    b64 = base64.b64encode(f.read()).decode()

resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": [
        {"type": "text", "text": "這張圖上寫的是什麼數字？"},
        {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{b64}"}},
    ]}],
    max_tokens=500,
)

resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": [
        {"type": "text", "text": "這段影片裡有什麼？"},
        {"type": "video_url", "video_url": {"url": f"data:video/mp4;base64,{b64_video}"}},
    ]}],
    max_tokens=1000,
)

curl https://api.apiyi.com/v1/chat/completions \
  -H "Authorization: Bearer sk-your-apiyi-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-max",
    "messages": [{"role": "user", "content": "你好"}],
    "reasoning_effort": "none"
  }'

resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "查一下北京天氣"}],
    tools=tools,
    tool_choice={"type": "function", "function": {"name": "get_weather"}},
    reasoning_effort="none",   # 必須
)

def strip_thinking(blocks):
    return [b for b in blocks if b.get("type") != "thinking"]

messages.append({"role": "assistant", "content": strip_thinking(resp["content"])})