流式响应

TokenSupernova 支持通过 Server-Sent Events（SSE）进行流式响应。设置 stream: true 即可实时接收 Token。

Python

from openai import OpenAI

client = OpenAI(
    api_key="tsn_live_xxx",
    base_url="https://api.tokensupernova.com/v1",
)

stream = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "写一首关于大海的俳句。"}],
    stream=True,
)

for chunk in stream:
    if chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="")

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "tsn_live_xxx",
  baseURL: "https://api.tokensupernova.com/v1",
});

const stream = await client.chat.completions.create({
  model: "deepseek-chat",
  messages: [{ role: "user", content: "写一首关于大海的俳句。" }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

curl

curl "https://api.tokensupernova.com/v1/chat/completions" \
  -H "Authorization: Bearer tsn_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "写一首关于大海的俳句。"}],
    "stream": true
  }'

流式数据块格式

每个数据块是以 data: 为前缀的 JSON 对象：

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"深蓝"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"index":0,"delta":{"content":"色"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]

流以 data: [DONE] 结束。