流式输出
通过服务器发送事件 (SSE) 实现聊天补全的增量输出。
接口说明
| 项目 | 值 |
|---|---|
| 方法 | POST |
| 路径 | /v1/chat/completions |
| 设置 | "stream": true |
| Gemini SSE | /v1beta/models/{model}:streamGenerateContent?alt=sse |
cURL
curl https://api.unigateway.ai/v1/chat/completions \
-H "Authorization: Bearer $UNIGATEWAY_API_KEY" \
-H "Content-Type: application/json" \
-N \
-d '{
"model": "gpt-5.4",
"stream": true,
"messages": [{"role": "user", "content": "说你好"}]
}'
-N 关闭输出缓冲。
SSE 格式
data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","choices":[{"delta":{"content":"你好"},"finish_reason":null}]}
data: [DONE]
Python
from openai import OpenAI
client = OpenAI(api_key="<YOUR_UNIGATEWAY_API_KEY>", base_url="https://api.unigateway.ai/v1")
stream = client.chat.completions.create(model="gpt-5.4", stream=True, messages=[{"role": "user", "content": "说你好"}])
for chunk in stream:
delta = chunk.choices[0].delta.content or ""
if delta: print(delta, end="", flush=True)
TypeScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: process.env.UNIGATEWAY_API_KEY, baseURL: "https://api.unigateway.ai/v1" });
const stream = await client.chat.completions.create({ model: "gpt-5.4", stream: true, messages: [{ role: "user", content: "说你好" }] });
for await (const chunk of stream) {
const delta = chunk.choices[0]?.delta?.content ?? "";
if (delta) process.stdout.write(delta);
}
Gemini SSE 流式
curl "https://api.unigateway.ai/v1beta/models/gemini-3-pro-preview:streamGenerateContent?alt=sse" \
-H "Authorization: Bearer $UNIGATEWAY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"contents": [{"parts": [{"text": "说你好"}]}]}'
图片生成流式
图片生成也支持 SSE 流式推送,用于渐进渲染中间图和最终图。
请求
curl -sS -X POST "https://api.unigateway.ai/v1/images/generations" \
-H "Authorization: Bearer $UNIGATEWAY_API_KEY" \
-H "Content-Type: application/json" \
-N \
-d '{"model":"gpt-image-2","prompt":"A winter landscape.","stream":true,"partial_images":2}'
SSE 事件格式
| 事件类型 | 字段 | 说明 |
|---|---|---|
image_generation.partial_image | b64_json, partial_image_index | 中间低分辨率图像 |
image_generation.completed | b64_json | 最终完整图像 |
event: image_generation.partial_image
data: {"created_at":1718000000,"type":"image_generation.partial_image","b64_json":"iVBOR...","partial_image_index":0}
event: image_generation.completed
data: {"created_at":1718000000,"type":"image_generation.completed","b64_json":"iVBOR..."}
端点兼容性:并非所有上游端点都支持真正的 SSE 流式。详见 OpenAI Images API → 端点兼容性。
错误处理
| 场景 | 处理 |
|---|---|
| 中途断开 | 发起新请求 |
| 无 token 返回 | 重试一次后换模型 |
SSE 保活 : UNIGATEWAY PROCESSING | 正常 — 忽略以 : 开头的注释行 |