fix: transmettre le moteur Référentiel IA

server/referentialIa.test.ts

@@ -48,9 +48,10 @@ describe("Référentiel IA", () => {
     }
   });
 
-  it("transmet une requête OpenAI-compatible à la passerelle sélectionnée", async () => {
+  it("transmet le slug du moteur décidé avant la requête OpenAI-compatible", async () => {
     let receivedUrl = "";
     let receivedInit: RequestInit | undefined;
+    let callCount = 0;
     const result = await invokeReferentialIa(
       {
         messages: [{ role: "user", content: "Extrais la facture" }],
@@ -58,8 +59,22 @@ describe("Référentiel IA", () => {
       },
       connection,
       async (url, init) => {
+        callCount += 1;
         receivedUrl = String(url);
         receivedInit = init;
+        if (callCount === 1) {
+          expect(receivedUrl).toBe("https://referentiel-ia.recette.santinova-soft.org/api/integration/v1/recommendations");
+          expect(JSON.parse(String(receivedInit?.body))).toEqual({
+            useCase: "texte",
+            optimizeCost: true,
+            needsFreeTier: false,
+            includeConnection: false,
+          });
+          return jsonResponse({
+            application: { name: "Démat. Facturation DSI" },
+            decision: { selected: { engine: { name: "SANTINO Expert", slug: "santino-expert" } } },
+          });
+        }
         return jsonResponse({
           id: "ref-1",
           created: 1,
@@ -72,12 +87,15 @@ describe("Référentiel IA", () => {
     expect(receivedUrl).toBe("https://referentiel-ia.recette.santinova-soft.org/api/integration/v1/invoke");
     expect(receivedInit?.headers).toMatchObject({ authorization: "Bearer test-token" });
     expect(JSON.parse(String(receivedInit?.body))).toMatchObject({
+      engineSlug: "santino-expert",
+      useCase: "texte",
       payload: {
         messages: [{ role: "user", content: "Extrais la facture" }],
         max_tokens: 1200,
         stream: false,
       },
     });
+    expect(callCount).toBe(2);
     expect(result.choices[0]?.message.content).toBe("{}");
   });
 

server/referentialIa.ts

@@ -6,6 +6,16 @@ export type ReferentielIaConnection = {
   token: string;
 };
 
+type ReferentielIaRecommendation = {
+  application?: { name?: unknown };
+  decision?: {
+    selected?: {
+      engine?: { name?: unknown; slug?: unknown };
+      connection?: { model?: unknown };
+    } | null;
+  } | null;
+};
+
 type Fetcher = (input: string | URL, init?: RequestInit) => Promise<Response>;
 
 const RECOMMENDATIONS_PATH = "/api/integration/v1/recommendations";
@@ -68,6 +78,37 @@ function gatewayError(status: number): Error {
   return new Error(`Le Référentiel IA est indisponible (HTTP ${status}).`);
 }
 
+/** Demande au Référentiel le moteur actuellement décidé pour cette application. */
+async function getReferentialIaRecommendation(
+  connection: ReferentielIaConnection,
+  fetcher: Fetcher,
+): Promise<ReferentielIaRecommendation> {
+  const response = await fetcher(`${connection.baseUrl}${RECOMMENDATIONS_PATH}`, {
+    method: "POST",
+    headers: {
+      "content-type": "application/json",
+      authorization: `Bearer ${connection.token}`,
+    },
+    body: JSON.stringify({
+      useCase: "texte",
+      optimizeCost: true,
+      needsFreeTier: false,
+      includeConnection: false,
+    }),
+    signal: AbortSignal.timeout(15_000),
+  });
+  if (!response.ok) throw gatewayError(response.status);
+  return (await readJson(response)) as ReferentielIaRecommendation;
+}
+
+function selectedEngineSlug(recommendation: ReferentielIaRecommendation): string {
+  const slug = recommendation.decision?.selected?.engine?.slug;
+  if (typeof slug !== "string" || !slug.trim()) {
+    throw new Error("Le Référentiel IA ne fournit aucun moteur sélectionné pour cette application.");
+  }
+  return slug.trim();
+}
+
 /** Exécute l'appel sur le moteur décidé et tracé par le Référentiel IA. */
 export async function invokeReferentialIa(
   params: InvokeParams,
@@ -75,13 +116,19 @@ export async function invokeReferentialIa(
   fetcher: Fetcher = fetch,
 ): Promise<InvokeResult> {
   const config = requireConnection(connection);
+  const recommendation = await getReferentialIaRecommendation(config, fetcher);
+  const engineSlug = selectedEngineSlug(recommendation);
   const response = await fetcher(`${config.baseUrl}${INVOCATION_PATH}`, {
     method: "POST",
     headers: {
       "content-type": "application/json",
       authorization: `Bearer ${config.token}`,
     },
-    body: JSON.stringify({ payload: toGatewayPayload(params) }),
+    body: JSON.stringify({
+      engineSlug,
+      useCase: "texte",
+      payload: toGatewayPayload(params),
+    }),
     signal: AbortSignal.timeout(120_000),
   });
   if (!response.ok) throw gatewayError(response.status);
@@ -100,26 +147,7 @@ export async function testReferentialIaConnection(
   fetcher: Fetcher = fetch,
 ): Promise<ReferentielIaConnectionTest> {
   const config = requireConnection(connection);
-  const response = await fetcher(`${config.baseUrl}${RECOMMENDATIONS_PATH}`, {
-    method: "POST",
-    headers: {
-      "content-type": "application/json",
-      authorization: `Bearer ${config.token}`,
-    },
-    body: JSON.stringify({
-      useCase: "texte",
-      optimizeCost: true,
-      needsFreeTier: false,
-      includeConnection: false,
-    }),
-    signal: AbortSignal.timeout(15_000),
-  });
-  if (!response.ok) throw gatewayError(response.status);
-
-  const data = (await readJson(response)) as {
-    application?: { name?: unknown };
-    decision?: { selected?: { engine?: { name?: unknown }; connection?: { model?: unknown } } | null } | null;
-  };
+  const data = await getReferentialIaRecommendation(config, fetcher);
   return {
     applicationName: typeof data.application?.name === "string" ? data.application.name : null,
     engineName: typeof data.decision?.selected?.engine?.name === "string" ? data.decision.selected.engine.name : null,