OpenAI SDK 接入
OpenAI SDK 用户只需要把base_url 指向晨羽智云网关，并使用晨羽智云 API Key。
安装
pip install openai
初始化客户端
from openai import OpenAI
client = OpenAI(
base_url="https://api.chenyu.cn/v1",
api_key="YOUR_API_KEY",
)
获取模型列表
models = client.models.list()
for model in models.data:
print(model.id)
文本对话
resp = client.chat.completions.create(
model="doubao-seed-2-0-lite-260428",
messages=[
{"role": "user", "content": "你好，简单介绍一下你自己"}
],
)
print(resp.choices[0].message.content)
图生文
resp = client.chat.completions.create(
model="doubao-seed-1-6-vision-250815",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "这张图里有什么？"},
{
"type": "image_url",
"image_url": {
"url": "https://example.com/image.png"
},
},
],
}
],
)
print(resp.choices[0].message.content)
多图生文
resp = client.chat.completions.create(
model="doubao-seed-1-6-vision-250815",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "比较两张图片的差异"},
{"type": "image_url", "image_url": {"url": "https://example.com/a.png"}},
{"type": "image_url", "image_url": {"url": "https://example.com/b.png"}},
],
}
],
)
print(resp.choices[0].message.content)
Responses API
resp = client.responses.create(
model="doubao-seed-2-0-lite-260428",
input="用三句话说明 GPU 云服务适合哪些场景",
)
print(resp.output_text)
extra_body 传递：
resp = client.responses.create(
model="doubao-seed-2-0-lite-260428",
input="分析这个问题",
extra_body={
"thinking": {"type": "enabled"},
"reasoning": {"effort": "low"},
},
)
文生图
img = client.images.generate(
model="doubao-seedream-5-0-lite-260128",
prompt="电商主图，白底，一瓶护肤品，柔和布光",
size="1024x1024",
)
print(img.data[0].url)
图片编辑
with open("input.png", "rb") as image:
edited = client.images.edit(
model="doubao-seedream-5-0-lite-260128",
image=image,
prompt="把背景改成浅蓝色，保持主体不变",
size="1024x1024",
)
print(edited.data[0].url)
视频任务
OpenAI SDK 暂未提供通用视频任务方法，视频接口建议直接使用 HTTP 请求：import requests
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
}
resp = requests.post(
"https://api.chenyu.cn/v1/videos",
headers=headers,
json={
"model": "doubao-seedance-2-0-fast-260128",
"prompt": "一只白色机器人在未来城市街道上行走，电影感镜头",
},
)
task = resp.json()
print(task["id"])
result = requests.get(
f"https://api.chenyu.cn/v1/videos/{task['id']}",
headers=headers,
)
print(result.json())