Files
zhimingge/lib/ai/stream.ts
T
dekun fff77dac3f Implement three divination modes, learn pages, and PM2 deploy on port 3130.
Add liuyao/bazi/combined flows with shared calc and AI infrastructure, 64-gua learn routes, and update Ubuntu PM2 deployment docs for port 3130.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-10 20:19:49 +08:00

78 lines
2.0 KiB
TypeScript

"use server";
import { streamText } from "ai";
import { createOpenAI } from "@ai-sdk/openai";
import { createStreamableValue } from "ai/rsc";
import { ERROR_PREFIX } from "@/lib/constant";
const model =
process.env.OPENAI_MODEL ?? "huihui_ai/gemma-4-abliterated:e4b";
const openai = createOpenAI({
baseURL: process.env.OPENAI_BASE_URL ?? "https://op.bz121.com/v1",
});
const STREAM_INTERVAL = 60;
const MAX_SIZE = 6;
export async function streamAIResponse(
system: string,
user: string,
): Promise<{ data?: ReturnType<typeof createStreamableValue<string>>["value"]; error?: string }> {
const stream = createStreamableValue<string>();
try {
const { fullStream } = streamText({
temperature: 0.5,
model: openai(model),
messages: [
{ role: "system", content: system },
{ role: "user", content: user },
],
maxRetries: 0,
});
let buffer = "";
let done = false;
const intervalId = setInterval(() => {
if (done && buffer.length === 0) {
clearInterval(intervalId);
stream.done();
return;
}
if (buffer.length <= MAX_SIZE) {
stream.update(buffer);
buffer = "";
} else {
const chunk = buffer.slice(0, MAX_SIZE);
buffer = buffer.slice(MAX_SIZE);
stream.update(chunk);
}
}, STREAM_INTERVAL);
(async () => {
for await (const part of fullStream) {
switch (part.type) {
case "text-delta":
buffer += part.textDelta;
break;
case "error": {
const err = part.error as { message?: string };
stream.update(ERROR_PREFIX + (err.message ?? String(part.error)));
break;
}
}
}
})()
.catch(console.error)
.finally(() => {
done = true;
});
return { data: stream.value };
} catch (err) {
stream.done();
const message = err instanceof Error ? err.message : String(err);
return { error: message };
}
}