API 开发指南

https://api.xtang.com/v1

Authorization: Bearer sk-你的API密钥

curl https://api.xtang.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-你的API密钥" \
  -d '{
    "model": "doubao-seed-2-1-pro-260628",
    "messages": [
      {"role": "system", "content": "你是一个 helpful 的助手"},
      {"role": "user", "content": "你好，请介绍一下你自己"}
    ],
    "temperature": 0.7,
    "max_tokens": 2000
  }'

from openai import OpenAI

# 初始化客户端，替换为你的 API Key
client = OpenAI(
    api_key="sk-你的API密钥",
    base_url="https://api.xtang.com/v1"
)

# 对话补全
response = client.chat.completions.create(
    model="doubao-seed-2-1-pro-260628",
    messages=[
        {"role": "system", "content": "你是一个 helpful 的助手"},
        {"role": "user", "content": "写一个Python快速排序"}
    ],
    temperature=0.7,
    max_tokens=2000
)

print(response.choices[0].message.content)
print(f"本次消耗: 输入{response.usage.prompt_tokens} token, 输出{response.usage.completion_tokens} token")

import ark

# 初始化火山引擎 SDK 客户端
client = ark.Ark(
    api_key="sk-你的API密钥",
    base_url="https://api.xtang.com/api/v3"
)

# 调用对话模型
response = client.chat.completions.create(
    model="doubao-seed-2-1-pro-260628",
    messages=[{"role": "user", "content": "你好"}],
    stream=False
)

print(response.choices[0].message.content)

# 图像生成示例
image_response = client.images.generations(
    model="doubao-seedream-5-0-pro-260628",
    prompt="一只可爱的橘猫坐在窗台上晒太阳",
    size="1024x1024"
)
print(image_response.data[0].url)