177 lines
5.6 KiB
JavaScript
177 lines
5.6 KiB
JavaScript
import { createHash } from "crypto";
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import { proxyAwareFetch } from "../utils/proxyFetch.js";
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export const KIMCHI_API = "https://llm.kimchi.dev";
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export const KIMCHI_USER_AGENT = "kimchi/0.1.40";
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const FETCH_TIMEOUT_MS = 20_000;
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const CACHE_TTL_MS = 5 * 60 * 1000;
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const RETRYABLE_STATUSES = new Set([429, 500, 502, 503, 504]);
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/** @type {Map<string, { expiresAt: number, models: object[], rawModels: object[] }>} */
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const catalogCache = new Map();
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/** @type {Map<string, object>} */
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const metadataByModelId = new Map();
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function normalizeKimchiEndpoint(endpoint) {
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const raw = typeof endpoint === "string" ? endpoint.trim() : "";
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return (raw || KIMCHI_API).replace(/\/+$/, "");
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}
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export function buildKimchiModelsUrl(endpoint) {
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return `${normalizeKimchiEndpoint(endpoint)}/v1/models/metadata?include_in_cli=true`;
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}
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function readToken(credentials) {
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return (
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credentials?.accessToken
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|| credentials?.apiKey
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|| credentials?.providerSpecificData?.apiKey
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|| null
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);
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}
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function cacheKey(credentials, endpoint) {
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const psd = credentials?.providerSpecificData || {};
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const seed = psd.userId || psd.username || credentials?.refreshToken || readToken(credentials) || "anonymous";
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return createHash("sha256")
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.update(`kimchi:${normalizeKimchiEndpoint(endpoint)}:${seed}`)
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.digest("hex");
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}
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function toModelKind(inputModalities) {
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return Array.isArray(inputModalities) && inputModalities.includes("image")
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? "imageToText"
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: "llm";
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}
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export function normalizeKimchiModel(item) {
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if (!item || typeof item !== "object") return null;
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const id = item.slug || item.id || item.model || item.name;
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if (typeof id !== "string" || id.trim() === "") return null;
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const inputModalities = Array.isArray(item.input_modalities)
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? item.input_modalities.filter((value) => value === "text" || value === "image")
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: [];
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const limits = item.limits && typeof item.limits === "object" ? item.limits : {};
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const contextLength = Number(limits.context_window || item.contextLength || item.context_length) || undefined;
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const maxOutputTokens = Number(limits.max_output_tokens || item.maxOutputTokens || item.max_output_tokens) || undefined;
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const upstreamProvider = typeof item.provider === "string" ? item.provider : "";
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const reasoning = item.reasoning === true;
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const kind = toModelKind(inputModalities);
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const model = {
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...item,
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id: id.trim(),
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name: String(item.display_name || item.displayName || item.name || id).trim(),
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provider: upstreamProvider,
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upstreamProvider,
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reasoning,
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inputModalities,
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kind,
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type: kind,
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capabilities: {
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vision: inputModalities.includes("image"),
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reasoning,
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...(contextLength ? { contextWindow: contextLength } : {}),
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...(maxOutputTokens ? { maxOutput: maxOutputTokens } : {}),
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...(upstreamProvider ? { upstreamProvider } : {}),
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},
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...(contextLength ? { contextLength } : {}),
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...(maxOutputTokens ? { maxOutputTokens } : {}),
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};
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if (upstreamProvider === "anthropic") {
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model.compat = { supportsReasoningEffort: false, cacheControlFormat: "anthropic" };
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}
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return model;
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}
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function rememberModels(models) {
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for (const model of models || []) {
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if (!model?.id) continue;
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metadataByModelId.set(model.id, model);
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metadataByModelId.set(model.id.toLowerCase(), model);
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}
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}
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export function getCachedKimchiModelMetadata(modelId) {
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if (typeof modelId !== "string" || modelId.trim() === "") return null;
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const raw = modelId.includes("/") ? modelId.split("/").pop() : modelId;
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return metadataByModelId.get(raw) || metadataByModelId.get(raw.toLowerCase()) || null;
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}
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async function fetchKimchiCatalogRaw(token, endpoint, options = {}) {
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const url = buildKimchiModelsUrl(endpoint);
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const controller = new AbortController();
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const timeout = setTimeout(() => controller.abort(new Error("Kimchi models fetch timeout")), FETCH_TIMEOUT_MS);
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const signal = options.signal
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? AbortSignal.any([options.signal, controller.signal])
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: controller.signal;
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try {
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const response = await proxyAwareFetch(url, {
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method: "GET",
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headers: {
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"Accept": "application/json",
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"Authorization": `Bearer ${token}`,
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"User-Agent": KIMCHI_USER_AGENT,
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},
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cache: "no-store",
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signal,
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}, options.proxyOptions || null);
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if (!response.ok) {
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const error = new Error(`Kimchi models ${response.status}: ${response.statusText}`);
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error.status = response.status;
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error.retryable = RETRYABLE_STATUSES.has(response.status);
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throw error;
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}
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const data = await response.json();
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return Array.isArray(data?.models) ? data.models : [];
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} finally {
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clearTimeout(timeout);
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}
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}
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export async function resolveKimchiModels(credentials, options = {}) {
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const token = readToken(credentials);
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if (!token) return null;
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const endpoint = credentials?.providerSpecificData?.kimchiEndpoint || options.endpoint || KIMCHI_API;
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const key = cacheKey(credentials, endpoint);
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const now = Date.now();
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if (!options.forceRefresh) {
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const cached = catalogCache.get(key);
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if (cached && cached.expiresAt > now) return cached;
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}
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let rawModels;
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try {
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rawModels = await fetchKimchiCatalogRaw(token, endpoint, options);
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} catch (error) {
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options.log?.warn?.("KIMCHI_MODELS", error.message);
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return null;
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}
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const models = rawModels.map(normalizeKimchiModel).filter(Boolean);
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if (models.length === 0) return null;
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rememberModels(models);
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const entry = {
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expiresAt: Date.now() + CACHE_TTL_MS,
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models,
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rawModels,
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};
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catalogCache.set(key, entry);
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return entry;
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}
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export function clearKimchiCatalog() {
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catalogCache.clear();
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metadataByModelId.clear();
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}
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