Use GPT-4o mini

apps/dashboard/package.json

@@ -13,7 +13,7 @@
     "typecheck": "tsc --noEmit"
   },
   "dependencies": {
-    "@ai-sdk/openai": "^0.0.34",
+    "@ai-sdk/openai": "^0.0.36",
     "@baselime/node-opentelemetry": "^0.5.8",
     "@date-fns/utc": "^1.2.0",
     "@hookform/resolvers": "^3.6.0",
@@ -39,7 +39,7 @@
     "@upstash/ratelimit": "^1.2.1",
     "@vercel/speed-insights": "^1.0.12",
     "@zip.js/zip.js": "2.7.45",
-    "ai": "^3.2.16",
+    "ai": "^3.2.29",
     "change-case": "^5.4.4",
     "dub": "^0.29.18",
     "framer-motion": "^11.2.12",

apps/dashboard/src/actions/ai/chat/index.tsx

@@ -35,7 +35,7 @@ const ratelimit = new Ratelimit({
 });
 
 export async function submitUserMessage(
-  content: string
+  content: string,
 ): Promise<ClientMessage> {
   "use server";
   const ip = headers().get("x-forwarded-for");
@@ -92,7 +92,7 @@ export async function submitUserMessage(
   let textNode: undefined | React.ReactNode;
 
   const result = await streamUI({
-    model: openai("gpt-4o"),
+    model: openai("gpt-4o-mini"),
     initial: <SpinnerMessage />,
     system: `\
     You are a helpful assistant in Midday who can help users ask questions about their transactions, revenue, spending find invoices and more.

apps/dashboard/src/actions/ai/chat/tools/forecast.tsx

@@ -50,7 +50,7 @@ export function getForecastTool({ aiState, currency, dateFrom, dateTo }: Args) {
       });
 
       const { text } = await generateText({
-        model: openai("gpt-4o"),
+        model: openai("gpt-4o-mini"),
         system:
           "You are a financial forecaster and analyst. Your task is to provide simple, clear, and concise content. Return only the result with a short description only with text. Make sure to mention that this is an indication of the forecast and should be verified.",
         prompt: `forecast next month ${type} based on the last 12 months ${type}:\n${prev}`,

apps/dashboard/src/actions/ai/get-vat-rate.ts

@@ -9,7 +9,7 @@ import { getVatRateSchema } from "../schema";
 
 const model = new ChatOpenAI({
   temperature: 0,
-  model: "gpt-4o",
+  model: "gpt-4o-mini",
   apiKey: process.env.OPENAI_API_KEY,
 });