完整兼容 OpenAI API 格式,只需更换 base_url 和 api_key 即可接入全部中国主流大模型。
from openai import OpenAI
client = OpenAI(
api_key="sk-your-key-here",
base_url="https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1"
)
response = client.chat.completions.create(
model="deepseek-v4", # 或 qwen3.6-flash, glm-4-flash 等
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "你好,请介绍一下自己"}
],
temperature=0.7
)
print(response.choices[0].message.content)
curl https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-your-key-here" \
-d '{
"model": "deepseek-v4",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'sk-your-key-here',
baseURL: 'https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1'
});
const response = await client.chat.completions.create({
model: 'deepseek-v4',
messages: [
{ role: 'user', content: '你好!' }
]
});
console.log(response.choices[0].message.content);
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(
model="deepseek-v4",
api_key="sk-your-key-here",
base_url="https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1"
)
response = llm.invoke("你好,请介绍一下自己")
print(response.content)
from llama_index.llms.openai import OpenAI
from llama_index.core import Settings
Settings.llm = OpenAI(
model="deepseek-v4",
api_key="sk-your-key-here",
api_base="https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1"
)
| 模型 ID | 提供商 | 输入价格 ($/1M tokens) | 输出价格 ($/1M tokens) | 特点 |
|---|---|---|---|---|
deepseek-v4 | DeepSeek | $0.27 | $1.10 | 旗舰模型,综合能力最强 |
deepseek-v3 | DeepSeek | $0.27 | $1.10 | 与V4性能相近 |
deepseek-r1 | DeepSeek | $0.50 | $2.00 | 推理增强,数学/逻辑 |
deepseek-v4-flash | DeepSeek | $0.001 | $0.001 | 极速低价,高吞吐场景 |
qwen3.6-flash | Alibaba | $0.01 | $0.03 | 中文优化,性价比高 |
qwen3-flash | Alibaba | $0.01 | $0.03 | 快速响应 |
qwen-plus | Alibaba | $0.10 | $0.10 | 均衡型 |
qwen-max | Alibaba | $0.50 | $0.50 | 高质量输出 |
glm-4-flash | Zhipu | 免费 | 免费 | 完全免费! |
glm-4-air | Zhipu | $0.10 | $0.10 | 平衡性能与成本 |
kimi-k3 | Moonshot | $0.50 | $2.00 | 长上下文,复杂推理 |
curl https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1/models \
-H "Authorization: Bearer sk-your-key-here"
支持 SSE (Server-Sent Events) 流式输出,设置 stream: true:
response = client.chat.completions.create(
model="deepseek-v4",
messages=[{"role": "user", "content": "写一首诗"}],
stream=True
)
for chunk in response:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
| HTTP 状态码 | 含义 | 处理方式 |
|---|---|---|
| 401 | API Key 无效或已过期 | 检查 API Key 是否正确 |
| 403 | 无权限访问该模型 | 确认套餐包含该模型 |
| 429 | 请求频率超限 | 降低请求频率或升级套餐 |
| 500 | 服务端错误 | 稍后重试或联系我们 |
| 503 | 模型暂时不可用 | 切换其他模型或稍后重试 |
注册即可获得 50,000 tokens 免费额度,体验所有模型。
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