Константин Лебединский
0fe04d4d99
- Сервисы: testAttemptService, testAccess, document import/gen/extract, LLM, assignment, aiEditor - Конфиг: devAuthor, featureFlags; messages/ru; интеграция V.9 (skip без БД) - API/роуты: app, auth, server; Dockerfile и env example - Фронт: TestAttempt, TestAttemptReview, AttemptReviewBlock, стили, правки App/api/login/vite - compose и README; смоук-тесты расширены Закрывает отсутствие модулей в origin после клона. Made-with: Cursor
99 lines
2.7 KiB
JavaScript
99 lines
2.7 KiB
JavaScript
/**
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* OpenAI-совместимый Chat Completions. Общий для импорта и редактора.
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*/
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/**
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* @returns {null | { provider: string, apiKey: string, baseUrl: string, model: string }}
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*/
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export function getLlmConfig() {
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if (process.env.DEEPSEEK_API_KEY) {
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return {
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provider: 'deepseek',
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apiKey: process.env.DEEPSEEK_API_KEY,
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baseUrl: (process.env.LLM_BASE_URL || 'https://api.deepseek.com/v1').replace(
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/\/+$/,
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''
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),
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model: process.env.LLM_MODEL || 'deepseek-chat',
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};
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}
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if (process.env.OPENAI_API_KEY) {
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return {
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provider: 'openai',
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apiKey: process.env.OPENAI_API_KEY,
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baseUrl: (process.env.LLM_BASE_URL || 'https://api.openai.com/v1').replace(
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/\/+$/,
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''
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),
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model: process.env.LLM_MODEL || 'gpt-4o-mini',
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};
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}
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return null;
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}
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/**
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* @param {{ baseUrl: string, apiKey: string, model: string }} cfg
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* @param {string} system
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* @param {string} user
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* @param {number} [temperature]
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* @returns {Promise<string>} raw assistant message
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*/
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export async function chatCompletionTextContent(cfg, system, user, temperature = 0.25) {
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const url = `${cfg.baseUrl}/chat/completions`;
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const body = {
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model: cfg.model,
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messages: [
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{ role: 'system', content: system },
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{ role: 'user', content: user },
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],
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temperature,
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};
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if (process.env.LLM_NO_JSON !== '1') {
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body.response_format = { type: 'json_object' };
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}
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const ac = new AbortController();
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const t = setTimeout(() => ac.abort(), 120000);
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let res;
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try {
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res = await fetch(url, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${cfg.apiKey}`,
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},
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body: JSON.stringify(body),
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signal: ac.signal,
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});
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} catch (e) {
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if (e.name === 'AbortError') {
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const err = new Error('Превышен таймаут ожидания ответа LLM (120 с).');
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err.code = 'llm_timeout';
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throw err;
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}
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const err = new Error(
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e instanceof Error ? e.message : 'Сбой сети при обращении к LLM'
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);
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err.code = 'llm_network';
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throw err;
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} finally {
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clearTimeout(t);
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}
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if (!res.ok) {
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const errText = await res.text();
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const err = new Error(
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`LLM ${res.status}: ${errText.replace(/\s+/g, ' ').slice(0, 280)}`
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);
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err.code = 'llm_http';
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err.status = res.status;
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throw err;
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}
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const data = await res.json();
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const content = data?.choices?.[0]?.message?.content;
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if (typeof content !== 'string' || !content.trim()) {
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const e = new Error('Пустой content в ответе API.');
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e.code = 'llm_empty';
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throw e;
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}
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return content;
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}
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