Merge main into sweep/docstring-course-card

next.config.mjs

@@ -37,6 +37,27 @@ const config = {
   experimental: {
     esmExternals: false, // To make upload thing work with /pages router.
   },
+  async headers() {
+    return [
+      {
+        source: '/api/:path*',
+        headers: [
+          {
+            key: 'Access-Control-Allow-Origin',
+            value: '*',
+          },
+          {
+            key: 'Access-Control-Allow-Methods',
+            value: 'GET,PUT,POST,DELETE,OPTIONS',
+          },
+          {
+            key: 'Access-Control-Allow-Headers',
+            value: 'X-Requested-With, X-HTTP-Method-Override, Content-Type, Accept',
+          },
+        ],
+      },
+    ]
+  },
 }
 
 const withAxiomConfig = withAxiom(config)

src/pages/api/chat.ts

@@ -17,8 +17,10 @@ export const config = {
 
 const handler = async (req: Request): Promise<NextResponse> => {
   try {
+    console.log("Top of /api/chat.ts. req: ", req)
     const { model, messages, key, prompt, temperature, course_name, stream } =
       (await req.json()) as ChatBody
+    console.log("After message parsing: ", model, messages, key, prompt, temperature, course_name, stream)
 
     await init((imports) => WebAssembly.instantiate(wasm, imports))
     const encoding = new Tiktoken(
@@ -27,7 +29,9 @@ const handler = async (req: Request): Promise<NextResponse> => {
       tiktokenModel.pat_str,
     )
 
+
     const token_limit = OpenAIModels[model.id as OpenAIModelID].tokenLimit
+    console.log("Model's token limit", token_limit)
 
     let promptToSend = prompt
     if (!promptToSend) {