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Update server.js
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server.js
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const
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object: 'list',
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data: [
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{ id: 'gpt-4.1', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.1-2025-04-14', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.1-mini', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.1-mini-2025-04-14', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.1-nano', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.1-nano-2025-04-14', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.5-preview', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4.5-preview-2025-02-27', object: 'model', created: 0, owned_by: 'helix' },
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// OpenAI — GPT‑4o
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{ id: 'gpt-4o', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-2024-05-13', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-2024-08-06', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-2024-11-20', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-mini', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-mini-2024-07-18', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-search-preview', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-search-preview-2025-03-11', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-mini-search-preview', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-4o-mini-search-preview-2025-03-11', object: 'model', created: 0, owned_by: 'helix' },
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// Helix — GPT‑3.5 Turbo
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{ id: 'gpt-3.5-turbo', object: 'model', created: 0, owned_by: 'helix' }
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]
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})
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}
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// Прокси для /chat/completions
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app.post(['/chat/completions', '/v1/chat/completions'], async (req, res) => {
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const {
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model,
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messages = [],
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@@ -60,54 +52,43 @@ app.post(['/chat/completions', '/v1/chat/completions'], async (req, res) => {
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presence_penalty,
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frequency_penalty,
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...rest
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} =
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// Собираем историю, заменяя китайские префиксы на English
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const historyText = messages
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.map(m => (m.role === 'user' ? '
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.join('\n')
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// Формируем полезную нагрузку для Helix
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const helixPayload = {
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type: 'text',
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stream,
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provider: getProvider(model),
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model,
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messages: [
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{
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role: 'user',
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content: { content_type: 'text', parts: [historyText] }
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}
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],
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temperature,
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top_p,
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presence_penalty,
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frequency_penalty,
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...rest
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}
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// Заголовок авторизации для Helix
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const authHeader = HELIX_API_KEY
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? `Bearer ${HELIX_API_KEY}`
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: (req.header('authorization') || '')
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// Отправляем запрос в Helix
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const helixRes = await fetch(
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'https://app.tryhelix.ai/api/v1/sessions/chat',
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{
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization:
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},
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body: JSON.stringify(helixPayload)
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}
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)
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if (!stream) {
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const data
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const reply
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id: `chatcmpl-proxy-${data.id ?? Date.now()}`,
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object: 'chat.completion',
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created: Math.floor(Date.now() / 1000),
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@@ -119,23 +100,66 @@ app.post(['/chat/completions', '/v1/chat/completions'], async (req, res) => {
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finish_reason: 'stop'
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}
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]
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}
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}
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}
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/**
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* Helix ↔︎ OpenAI 代理(全路径 + 流式过滤)
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* 2025‑04‑19
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*/
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addEventListener('fetch', e => e.respondWith(router(e.request)));
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async function router(req) {
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const url = new URL(req.url);
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const p = url.pathname.replace(/\/+$/, '');
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const m = req.method;
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if (m === 'OPTIONS') return cors(new Response(null, { status: 204 }));
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if ((p === '/models' || p === '/v1/models') && m === 'GET')
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return cors(modelsList());
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if (
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(p === '/chat/completions' || p === '/v1/chat/completions') &&
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m === 'POST'
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)
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return cors(await chatProxy(req));
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return cors(json({ error: 'Not Found', path: p }, 404));
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}
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/* ---------- 模型列表 ---------- */
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function modelsList() {
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return json({
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object: 'list',
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data: [
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{ id: 'gpt-4o', object: 'model', created: 0, owned_by: 'helix' },
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{ id: 'gpt-3.5-turbo', object: 'model', created: 0, owned_by: 'helix' }
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]
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});
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}
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/* ---------- 聊天 ---------- */
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async function chatProxy(req) {
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let body;
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try {
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body = await req.json();
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} catch {
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return json({ error: 'Bad JSON' }, 400);
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}
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const {
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model,
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messages = [],
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presence_penalty,
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frequency_penalty,
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...rest
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} = body;
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const historyText = messages
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.map(m => (m.role === 'user' ? '用户:' : 'AI:') + m.content)
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.join('\n');
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const helixPayload = {
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type: 'text',
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stream,
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provider: getProvider(model),
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model,
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messages: [
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{ role: 'user', content: { content_type: 'text', parts: [historyText] } }
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],
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temperature,
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top_p,
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presence_penalty,
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frequency_penalty,
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...rest
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};
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const helixRes = await fetch(
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'https://app.tryhelix.ai/api/v1/sessions/chat',
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{
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: req.headers.get('Authorization') || ''
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},
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body: JSON.stringify(helixPayload)
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}
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);
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if (!stream) {
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const data = await helixRes.json();
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const reply = data?.choices?.[0]?.message?.content ?? '';
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const openai = {
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id: `chatcmpl-proxy-${data.id ?? Date.now()}`,
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object: 'chat.completion',
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created: Math.floor(Date.now() / 1000),
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finish_reason: 'stop'
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}
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]
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};
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return json(openai, helixRes.status);
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}
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/* ---- 流式过滤 ---- */
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const filteredStream = helixRes.body
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.pipeThrough(new TextDecoderStream())
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.pipeThrough(sseLineSplitter())
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.pipeThrough(new TransformStream({
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transform(line, controller) {
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if (!line.startsWith('data:')) { controller.enqueue(line); return; }
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const payload = line.slice(5).trim();
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if (payload === '[DONE]') { controller.enqueue(line); return; }
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try {
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const obj = JSON.parse(payload);
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if (obj.choices === null || (Array.isArray(obj.choices) && obj.choices.length === 0))
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return;
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} catch { /* ignore */ }
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controller.enqueue(line);
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}
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}))
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.pipeThrough(new TextEncoderStream());
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return new Response(filteredStream, {
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status: helixRes.status,
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headers: { 'Content-Type': 'text/event-stream' }
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});
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}
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/* ---------- 工具 ---------- */
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function getProvider(m) {
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if (/^gpt-[34]|^gpt-3\.5/.test(m)) return 'openai';
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if (/^(llama|phi|aya|gemma|deepseek|qwen)/.test(m)) return 'helix';
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return 'togetherai';
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}
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const json = (o, s = 200) =>
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new Response(JSON.stringify(o), {
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status: s,
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headers: { 'Content-Type': 'application/json' }
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});
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function cors(res) {
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const h = new Headers(res.headers);
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h.set('Access-Control-Allow-Origin', '*');
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h.set('Access-Control-Allow-Methods', 'GET, POST, OPTIONS');
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h.set('Access-Control-Allow-Headers', 'Content-Type, Authorization');
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return new Response(res.body, { ...res, headers: h });
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}
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function sseLineSplitter() {
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let buf = '';
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return new TransformStream({
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transform(chunk, controller) {
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buf += chunk;
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const lines = buf.split('\n');
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buf = lines.pop();
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for (const l of lines) controller.enqueue(l + '\n');
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},
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flush(controller) {
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if (buf) controller.enqueue(buf);
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}
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});
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}
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