168 lines
5.5 KiB
TypeScript
168 lines
5.5 KiB
TypeScript
import { ENV } from "./_core/env";
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export type AiEngineStatus = {
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state: "available" | "unconfigured" | "unreachable";
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engine?: {
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name: string;
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provider: string;
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slug: string;
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model?: string;
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accessMode?: "gateway" | "recommendation_only";
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configured: boolean;
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origin: "proposal" | "manual" | "local";
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rationale?: string;
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};
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proposal?: { name: string; provider: string; model?: string; origin: "proposal"; rationale?: string };
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usage?: UsageSummary;
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checkedAt: string;
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message: string;
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};
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type ReferenceConfiguration = {
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url: string;
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token: string;
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};
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type RecommendationResponse = {
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decision?: {
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proposal?: DecisionEngine;
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selected?: DecisionEngine;
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};
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recommendations?: DecisionEngine[];
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usage?: UsageSummary;
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};
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type UsageMetric = { used: number; limit: number | null; percent: number | null; status: "not_configured" | "normal" | "alert" | "limit_reached" | "unpriced"; shouldBlock?: boolean };
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type UsageAlert = { metric: "budget" | "requests" | "tokens"; label: string; status: "alert" | "limit_reached"; percent: number; message: string };
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type UsageSummary = { canInvoke: boolean; blockReason?: string | null; budget: UsageMetric & { currency: string; estimated?: boolean }; requests: UsageMetric; tokens: UsageMetric; alerts: UsageAlert[] };
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type DecisionEngine = {
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origin?: "proposal" | "manual" | "local";
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rationale?: string;
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engine?: { name?: string; provider?: string; slug?: string };
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connection?: { model?: string; accessMode?: "gateway" | "recommendation_only"; configured?: boolean };
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};
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const now = () => new Date().toISOString();
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export async function getAiEngineStatus(
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configuration: ReferenceConfiguration = {
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url: ENV.aiReferentielUrl,
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token: ENV.aiReferentielToken,
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},
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fetcher: typeof fetch = fetch,
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): Promise<AiEngineStatus> {
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if (!configuration.url || !configuration.token) {
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return {
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state: "unconfigured",
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checkedAt: now(),
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message: "Le Référentiel IA n’est pas encore configuré pour cette application.",
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};
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}
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const controller = new AbortController();
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const timeout = setTimeout(() => controller.abort(), 6_000);
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try {
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const response = await fetcher(`${configuration.url.replace(/\/$/, "")}/api/integration/v1/recommendations`, {
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method: "POST",
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headers: {
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Authorization: `Bearer ${configuration.token}`,
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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useCase: "texte",
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optimizeCost: true,
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needsFreeTier: true,
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includeConnection: true,
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}),
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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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state: "unreachable",
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checkedAt: now(),
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message: `Le Référentiel IA est indisponible (HTTP ${response.status}).`,
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};
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}
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const payload = (await response.json()) as RecommendationResponse;
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const selected = payload.decision?.selected ?? payload.recommendations?.[0];
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if (!selected?.engine?.name || !selected.engine.provider || !selected.engine.slug) {
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return {
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state: "unreachable",
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checkedAt: now(),
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message: "Le Référentiel IA n’a retourné aucun moteur autorisé.",
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};
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}
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const proposal = payload.decision?.proposal;
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const origin = selected.origin === "manual" || selected.origin === "local" ? selected.origin : "proposal";
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return {
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state: "available",
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checkedAt: now(),
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message: selected.connection?.configured
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? origin === "local"
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? "Moteur IA local sélectionné par le Référentiel IA."
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: origin === "manual"
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? "Moteur choisi par un administrateur pour cette application."
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: "Proposition du Référentiel IA appliquée à cette application."
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: "Moteur décidé par le Référentiel IA, en attente de configuration fournisseur.",
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engine: {
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name: selected.engine.name,
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provider: selected.engine.provider,
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slug: selected.engine.slug,
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model: selected.connection?.model,
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accessMode: selected.connection?.accessMode,
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configured: Boolean(selected.connection?.configured),
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origin,
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rationale: selected.rationale,
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},
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proposal: proposal?.engine?.name && proposal.engine.provider ? {
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name: proposal.engine.name,
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provider: proposal.engine.provider,
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model: proposal.connection?.model,
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origin: "proposal",
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rationale: proposal.rationale,
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} : undefined,
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usage: payload.usage,
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};
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} catch {
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return {
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state: "unreachable",
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checkedAt: now(),
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message: "La vérification auprès du Référentiel IA a échoué.",
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};
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} finally {
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clearTimeout(timeout);
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}
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}
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/**
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* Métadonnées strictement descriptives de la décision active. Cette fonction
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* ne retourne jamais le jeton applicatif ni une URL d'intégration privée.
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*/
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export async function getActiveAiConfiguration(
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configuration: ReferenceConfiguration = {
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url: ENV.aiReferentielUrl,
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token: ENV.aiReferentielToken,
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},
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fetcher: typeof fetch = fetch,
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) {
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const status = await getAiEngineStatus(configuration, fetcher);
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if (status.state !== "available" || !status.engine?.configured || !status.engine.model) {
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return { active: false, engines: [] };
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}
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return {
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active: true,
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engines: [{
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provider: status.engine.provider,
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model: status.engine.model,
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role: "Moteur sélectionné par le Référentiel IA",
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billing: status.engine.origin === "local" ? "free" : "paid",
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source: "referential",
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}],
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};
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}
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