chore: upgrade to ai SDK v4

apps/nextjs/package.json

@@ -68,7 +68,7 @@
     "@trpc/server": "10.45.2",
     "@types/ramda": "^0.30.2",
     "@uidotdev/usehooks": "^2.4.1",
-    "ai": "^3.3.26",
+    "ai": "^4.0.20",
     "american-british-english-translator": "^0.2.1",
     "archiver": "^7.0.1",
     "axios": "^1.6.8",

apps/nextjs/src/app/aila/[id]/download/useDownloadView.ts

@@ -1,3 +1,4 @@
+import type { Message } from "@oakai/aila/src/core/chat";
 import { getLastAssistantMessage } from "@oakai/aila/src/helpers/chat/getLastAssistantMessage";
 import type { AilaPersistedChat } from "@oakai/aila/src/protocol/schema";
 
@@ -19,7 +20,7 @@ export function useDownloadView({
     onStart: () => null,
     lesson: lessonPlan,
     chatId: id,
-    messageId: getLastAssistantMessage(messages)?.id,
+    messageId: messages.filter((m) => m.role === "assistant").pop()?.id,
     active: true,
   };
 

apps/nextjs/src/app/api/chat/chatHandler.ts

@@ -18,10 +18,6 @@ import { withTelemetry } from "@oakai/core/src/tracing/serverTracing";
 import type { PrismaClientWithAccelerate } from "@oakai/db";
 import { prisma as globalPrisma } from "@oakai/db/client";
 import { aiLogger } from "@oakai/logger";
-// #TODO StreamingTextResponse is deprecated. If we choose to adopt the "ai" package
-// more fully, we should refactor to support its approach to streaming
-// but this could be a significant change given we have our record-separator approach
-import { StreamingTextResponse } from "ai";
 import type { NextRequest } from "next/server";
 import invariant from "tiny-invariant";
 
@@ -124,23 +120,41 @@ function handleConnectionAborted(req: NextRequest) {
 async function generateChatStream(
   aila: Aila,
   abortController: AbortController,
-) {
+): Promise<Response> {
   return await withTelemetry(
     "chat-aila-generate",
     { chat_id: aila.chatId, user_id: aila.userId },
     async () => {
-      invariant(aila, "Aila instance is required");
-      const result = await aila.generate({ abortController });
-      const transformStream = new TransformStream({
-        transform(chunk, controller) {
-          const formattedChunk = new TextEncoder().encode(
-            `0:${JSON.stringify(chunk)}\n`,
-          );
-          controller.enqueue(formattedChunk);
-        },
-      });
-
-      return result.pipeThrough(transformStream);
+      try {
+        invariant(aila, "Aila instance is required");
+        const result = await aila.generate({ abortController });
+        const transformStream = new TransformStream({
+          transform(chunk, controller) {
+            const formattedChunk = new TextEncoder().encode(
+              `0:${JSON.stringify(chunk)}\n`,
+            );
+            controller.enqueue(formattedChunk);
+          },
+        });
+
+        const stream = result.pipeThrough(transformStream);
+        return new Response(stream, {
+          headers: {
+            "Content-Type": "text/event-stream",
+            "Cache-Control": "no-cache",
+            Connection: "keep-alive",
+          },
+        });
+      } catch (error) {
+        log.error("Error generating chat stream", { error });
+        return new Response(
+          JSON.stringify({ error: "Stream generation failed" }),
+          {
+            status: 500,
+            headers: { "Content-Type": "application/json" },
+          },
+        );
+      }
     },
   );
 }
@@ -199,7 +213,7 @@ export async function handleChatPostRequest(
 
       const abortController = handleConnectionAborted(req);
       const stream = await generateChatStream(aila, abortController);
-      return new StreamingTextResponse(stream);
+      return stream;
     } catch (e) {
       return handleChatException(span, e, chatId, prisma);
     } finally {

apps/nextjs/src/app/api/chat/protocol.ts

@@ -2,15 +2,14 @@ import type {
   ActionDocument,
   ErrorDocument,
 } from "@oakai/aila/src/protocol/jsonPatchProtocol";
-import { StreamingTextResponse } from "ai";
 
 export function streamingJSON(message: ErrorDocument | ActionDocument) {
   const jsonContent = JSON.stringify(message);
   const errorMessage = `0:"${jsonContent.replace(/"/g, '\\"')}"`;
 
   const errorEncoder = new TextEncoder();
 
-  return new StreamingTextResponse(
+  return new Response(
     new ReadableStream({
       start(controller) {
         controller.enqueue(errorEncoder.encode(errorMessage));

apps/nextjs/src/components/ContextProviders/ChatProvider.tsx

@@ -109,6 +109,13 @@ function getModerationFromMessage(message?: { content: string }) {
   return moderation;
 }
 
+function isValidMessageRole(role: unknown): role is Message["role"] {
+  return (
+    typeof role === "string" &&
+    ["system", "assistant", "user", "data"].includes(role)
+  );
+}
+
 export function ChatProvider({ id, children }: Readonly<ChatProviderProps>) {
   const {
     data: chat,
@@ -179,7 +186,9 @@ export function ChatProvider({ id, children }: Readonly<ChatProviderProps>) {
     setMessages,
   } = useChat({
     sendExtraMessageFields: true,
-    initialMessages: chat?.messages ?? [],
+    initialMessages: (chat?.messages ?? []).filter(
+      (m) => !["function", "tool"].includes(m.role),
+    ) as Message[],
     generateId: () => generateMessageId({ role: "user" }),
     id,
     body: {

packages/aila/package.json

@@ -32,7 +32,7 @@
     "@oakai/logger": "*",
     "@sentry/nextjs": "^8.35.0",
     "@vercel/kv": "^0.2.2",
-    "ai": "^3.3.26",
+    "ai": "^4.0.20",
     "american-british-english-translator": "^0.2.1",
     "cloudinary": "^1.41.1",
     "dotenv-cli": "^6.0.0",

packages/aila/src/core/chat/types.ts

@@ -2,7 +2,7 @@ import { z } from "zod";
 
 export const MessageSchema = z.object({
   content: z.string(),
-  role: z.enum(["system", "assistant", "user"]),
+  role: z.enum(["system", "assistant", "user", "data"]),
   id: z.string(),
 });
 

packages/aila/src/core/llm/OpenAIService.ts

@@ -29,7 +29,7 @@ export class OpenAIService implements LLMService {
     messages: Message[];
     temperature: number;
   }): Promise<ReadableStreamDefaultReader<string>> {
-    const { textStream: stream } = await streamText({
+    const { textStream: stream } = streamText({
       model: this._openAIProvider(params.model),
       messages: params.messages.map((m) => ({
         role: m.role,
@@ -53,7 +53,7 @@ export class OpenAIService implements LLMService {
       return this.createChatCompletionStream({ model, messages, temperature });
     }
     const startTime = Date.now();
-    const { textStream: stream } = await streamObject({
+    const { textStream: stream } = streamObject({
       model: this._openAIProvider(model, { structuredOutputs: true }),
       output: "object",
       schema,