use gpt-4o again, responses are considerably better.

apps/cf-ai-backend/src/index.ts

@@ -188,18 +188,13 @@ app.post(
 
     const { store, model } = await initQuery(c);
 
-    // we're creating another instance of the model here because we want to use a cheaper model for this.
-    const openai = createOpenAI({
-      apiKey: c.env.OPENAI_API_KEY,
-    });
-
     let task: "add" | "chat" = "chat";
     let thingToAdd: "page" | "image" | "text" | undefined = undefined;
     let addContent: string | undefined = undefined;
 
     // This is a "router". this finds out if the user wants to add a document, or chat with the AI to get a response.
     const routerQuery = await generateText({
-      model: openai.chat("gpt-3.5-turbo"),
+      model: model,
       system: `You are Supermemory chatbot. You can either add a document to the supermemory database, or return a chat response. Based on this query, 
         You must determine what to do. Basically if it feels like a "question", then you should intiate a chat. If it feels like a "command" or feels like something that could be forwarded to the AI, then you should add a document.
         You must also extract the "thing" to add and what type of thing it is.`,

apps/web/app/api/telegram/route.ts

@@ -107,3 +107,7 @@ bot.on("message", async (ctx) => {
 });
 
 export const POST = webhookCallback(bot, "std/http");
+
+export const GET = async () => {
+  return new Response("OK", { status: 200 });
+};

apps/web/wrangler.toml

@@ -14,8 +14,8 @@ bucket_name = "dev-r2-anycontext"
 
 [[d1_databases]]
 binding = "DATABASE"
-# database_name = "prod-d1-supermemory"
-# database_id = "f527a727-c472-41d4-8eaf-3d7ba0f2f395"
+database_name = "prod-d1-supermemory"
+database_id = "f527a727-c472-41d4-8eaf-3d7ba0f2f395"
 
-database_name = "dev-d1-anycontext"
-database_id = "fc562605-157a-4f60-b439-2a24ffed5b4c"
+# database_name = "dev-d1-anycontext"
+# database_id = "fc562605-157a-4f60-b439-2a24ffed5b4c"