canglangdahai
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import { OpenAI } from "https://esm.town/v/std/openai";
export default async function(req: Request): Promise<Response> {
if (req.method === "OPTIONS") {
return new Response(null, {
headers: {
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Headers": "*",
},
status: 204,
});
}
const openai = new OpenAI();
try {
var body = await req.json();
} catch (e) {
var search = (new URL(req.url)).searchParams;
body = {
"messages": [{
"role": "user",
"content": search.get("q") || "hello",
}],
"temperature": 0.5,
"presence_penalty": 0,
"frequency_penalty": 0,
"top_p": 1,
stream: true,
model: "gpt-4-turbo",
};
}
const stream = await openai.chat.completions.create(body);
if (!body.stream) {
return new Response(JSON.stringify(body), {
headers: {
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Headers": "*",
"Content-Type": "application/json; charset=UTF-8",
},
});
}
/*
const { readable, writable } = new TransformStream();
const my_stream_writer = writable.getWriter();
var encoder = new TextEncoder();
(async () => {
for await (const chunk of stream) {
my_stream_writer.write(encoder.encode(chunk.choices[0]?.delta?.content || ""));
}
my_stream_writer.close();
})();*/
const { readable, writable } = new TransformStream();
const my_stream_writer = writable.getWriter();
var reader = stream.toReadableStream().getReader();
var totalText = "";
const decoder = new TextDecoder("utf-8", { stream: true });
var encoder = new TextEncoder();
(async () => {
while (true) {
const { done, value } = await reader.read();
if (done) break;
totalText += decoder.decode(value, { stream: true });
var msgs = totalText.split("\n");
totalText = msgs.pop();
for (let i in msgs) {
my_stream_writer.write(encoder.encode(`data: ${msgs[i]}\n\n`));
}
await new Promise((r) => {
setTimeout(r, 20);
});
}
my_stream_writer.close();
})();
return new Response(readable, {
headers: {
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Headers": "*",
"Content-Type": "text/event-stream; charset=UTF-8",
},
});
}