adjusts gemini pro model assignment

src/proxy/google-ai.ts

@@ -30,7 +30,12 @@ const getModelsResponse = () => {
 
   if (!config.googleAIKey) return { object: "list", data: [] };
 
-  const googleAIVariants = ["gemini-pro", "gemini-1.0-pro", "gemini-1.5-pro"];
+  const googleAIVariants = [
+    "gemini-pro",
+    "gemini-1.0-pro",
+    "gemini-1.5-pro",
+    "gemini-1.5-pro-latest",
+  ];
 
   const models = googleAIVariants.map((id) => ({
     id,
@@ -124,12 +129,21 @@ googleAIRouter.get("/v1/models", handleModelRequest);
 googleAIRouter.post(
   "/v1/chat/completions",
   ipLimiter,
-  createPreprocessorMiddleware({
+  createPreprocessorMiddleware(
-    inApi: "openai",
+    { inApi: "openai", outApi: "google-ai", service: "google-ai" },
-    outApi: "google-ai",
+    { afterTransform: [maybeReassignModel] }
-    service: "google-ai",
+  ),
-  }),
   googleAIProxy
 );
 
+/** Replaces requests for non-Google AI models with gemini-pro-1.5-latest. */
+function maybeReassignModel(req: Request) {
+  const requested = req.body.model;
+  if (requested.includes("gemini")) {
+    return;
+  }
+  req.log.info({ requested }, "Reassigning model to gemini-pro-1.5-latest");
+  req.body.model = "gemini-pro-1.5-latest";
+}
+
 export const googleAI = googleAIRouter;

src/shared/api-schemas/google-ai.ts

@@ -103,7 +103,7 @@ export const transformOpenAIToGoogleAI: APIFormatTransformer<
   stops = [...new Set(stops)].slice(0, 5);
 
   return {
-    model: "gemini-pro",
+    model: req.body.model,
     stream: rest.stream,
     contents,
     tools: [],