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123 lines
4.1 KiB
TypeScript
123 lines
4.1 KiB
TypeScript
/**
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* LM Studio detection — probes `GET <baseURL>/models` and parses the OpenAI-shaped
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* `{ object: "list", data: [...] }` response. The plugin uses this for two things:
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*
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* 1. Init-time logging: warn the operator if LM Studio is configured but unreachable.
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* 2. The auto-enable predicate: turn the plugin on when the local server responds.
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*
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* Detection is kept side-effect free and accepts an injected `fetch` so unit tests
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* can provide a fake implementation without touching network state.
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*/
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import type { LMStudioModelInfo, LMStudioModelsResponse } from "../types";
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import { DEFAULT_LMSTUDIO_URL } from "./config";
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export interface DetectionOptions {
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baseURL?: string;
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/** Override `fetch` (used by tests and the browser/sandbox build). */
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fetcher?: typeof fetch;
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/** Per-request timeout — LM Studio should answer instantly; bail fast otherwise. */
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timeoutMs?: number;
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/** Optional Bearer token (LM Studio behind an auth proxy). */
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apiKey?: string;
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}
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export interface DetectionResult {
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available: boolean;
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baseURL: string;
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/** Parsed model list when `available` is true. */
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models?: LMStudioModelInfo[];
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/** Last error encountered when `available` is false. */
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error?: string;
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}
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function normalizeBaseURL(input: string | undefined): string {
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const raw = (input ?? DEFAULT_LMSTUDIO_URL).replace(/\/+$/, "");
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if (/\/v\d+$/.test(raw)) {
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return raw;
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}
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return `${raw}/v1`;
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}
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/**
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* Parses a `GET /v1/models` response body, defensively against
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* implementations that return a bare array. Returns null when the body
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* is not a recognizable shape.
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*/
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export function parseModelsResponse(body: unknown): LMStudioModelInfo[] | null {
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if (Array.isArray(body)) {
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return body.filter((entry): entry is LMStudioModelInfo => {
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return Boolean(entry) && typeof (entry as LMStudioModelInfo).id === "string";
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});
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}
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if (body && typeof body === "object") {
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const shaped = body as Partial<LMStudioModelsResponse>;
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if (Array.isArray(shaped.data)) {
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return shaped.data.filter((entry): entry is LMStudioModelInfo => {
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return Boolean(entry) && typeof entry.id === "string";
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});
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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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* Probes the configured LM Studio endpoint. Always returns a result — never throws.
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*
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* Why catch all errors: this helper is called from auto-enable and the plugin `init`
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* hook. A network error during init must not crash the runtime; we surface it via the
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* returned `error` field and let the caller decide what to do.
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*/
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export async function detectLMStudio(options: DetectionOptions = {}): Promise<DetectionResult> {
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const baseURL = normalizeBaseURL(options.baseURL);
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const fetcher = options.fetcher ?? fetch;
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const timeoutMs = options.timeoutMs ?? 1500;
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const controller = new AbortController();
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const timer = setTimeout(() => controller.abort(), timeoutMs);
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try {
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const headers: Record<string, string> = { "Content-Type": "application/json" };
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if (options.apiKey) {
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headers.Authorization = `Bearer ${options.apiKey}`;
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}
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const response = await fetcher(`${baseURL}/models`, {
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method: "GET",
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headers,
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signal: controller.signal,
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});
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if (!response.ok) {
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return {
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available: false,
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baseURL,
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error: `HTTP ${response.status} ${response.statusText}`,
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};
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}
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const body = (await response.json()) as unknown;
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const models = parseModelsResponse(body);
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if (!models) {
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return {
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available: false,
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baseURL,
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error: "unexpected /v1/models response shape",
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};
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}
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return { available: true, baseURL, models };
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} catch (err) {
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// error-policy:J4 explicit degrade — this probe's contract (documented above)
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// is to always return a result, never throw: a network/timeout failure IS the
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// "not available" answer, carried in the typed `error` field, not a swallowed
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// error. Callers (auto-enable, init) branch on `available`.
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const message = err instanceof Error ? err.message : String(err);
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return { available: false, baseURL, error: message };
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} finally {
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clearTimeout(timer);
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}
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}
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