Streaming Technology Implementation
To enable ChatGPT-like typewriter effect output:
- Request Parameter Configuration: Add to the JSON request body
"stream": truefield - Client-side processing: Streaming read interface using EventSource or Fetch API, sample code:
fetch('/v1/chat/completions', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({stream: true, messages: [...]})
}).then(async res => {
const reader = res.body.getReader()
while(true) {
const {done, value} = await reader.read()
if(done) break
// 处理分块数据
}
}) - Server-side optimization: Avoid using at startup
--log fileparameter (which increases I/O latency)
Technical principle: The project uses the SSE (Server-Sent Events) protocol internally, and each data block containsdata: [JSON]nnformat for incremental content.
This answer comes from the articleGemini-CLI-2-API: Converting the Gemini CLI to an OpenAI-compatible Native API ServiceThe
May not be reproduced without permission:AI productivity tools " How to realize the effect of real-time streaming of Gemini API response content?
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