Repository: gridaco/grida
Pull request #313: [Grida AI] Image Playground
Author: login: softmarshmallow
Created: 2025-04-29T12:38:40Z | Merged: 2025-04-29T12:48:24Z

# Image Playground - for Model testing

https://github.com/user-attachments/assets/f800da31-4298-4b13-a62e-708584fb73d4




<!-- This is an auto-generated comment: release notes by coderabbit.ai -->
## Summary by CodeRabbit

- **New Features**
  - Introduced an interactive Image Playground for generating AI images with prompt input, model and size selection, and credit tracking.
  - Added display of remaining AI credits and reset time for authenticated users.
  - Added API endpoints to fetch available OpenAI models and remaining AI credits.
  - New rate limiting system for AI image generation using user-based credits.

- **Enhancements**
  - Modularized and improved the resource card layout in the library with a new `ImageCard` component.
  - Expanded and documented available AI image models with detailed metadata.
  - Improved tooltip support by wrapping the main layout with a tooltip provider.
  - Enhanced `ChatBox` with customizable file type acceptance and placeholder text.
  - Enabled image file input support in chat component.

- **Bug Fixes**
  - Conditional rendering of color swatches and generator info in library object details to prevent empty displays.

- **Refactor**
  - Switched image model fetching to a dedicated OpenAI models endpoint.
  - Updated image generation API to support broader model input and improved metadata in responses.
  - Replaced direct OpenAI API calls with a unified model registry.

- **Chores**
  - Updated `react-timer-hook` dependency to the latest version.

- **Removals**
  - Removed the previous AI image playground component in favor of the new, feature-rich playground.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->


Diff:
diff --git a/editor/app/(api)/private/ai/credits/route.ts b/editor/app/(api)/private/ai/credits/route.ts
new file mode 100644
index 0000000000..b879eff82f
--- /dev/null
+++ b/editor/app/(api)/private/ai/credits/route.ts
@@ -0,0 +1,21 @@
+import { createClient } from "@/lib/supabase/server";
+import { ai_credit_remaining } from "../ratelimit";
+import { NextResponse } from "next/server";
+
+export async function GET() {
+  const client = await createClient();
+  const u = await client.auth.getUser();
+  if (u.error) {
+    return new NextResponse("Unauthorized", { status: 401 });
+  }
+
+  const data = await ai_credit_remaining({ user_id: u.data.user.id });
+  return NextResponse.json(
+    {
+      data,
+    },
+    {
+      status: 200,
+    }
+  );
+}
diff --git a/editor/app/(api)/private/ai/generate/image/route.ts b/editor/app/(api)/private/ai/generate/image/route.ts
index 68922e9c6d..a7adb17a5a 100644
--- a/editor/app/(api)/private/ai/generate/image/route.ts
+++ b/editor/app/(api)/private/ai/generate/image/route.ts
@@ -1,19 +1,31 @@
 import { NextRequest, NextResponse } from "next/server";
-import { experimental_generateImage, type GeneratedFile } from "ai";
+import {
+  experimental_generateImage,
+  type GeneratedFile,
+  type ImageModel,
+} from "ai";
 import { openai } from "@ai-sdk/openai";
 import { replicate } from "@ai-sdk/replicate";
 import { createLibraryClient, service_role } from "@/lib/supabase/server";
 import { v4 } from "uuid";
-import { Ratelimit } from "@upstash/ratelimit";
-import { Redis } from "@upstash/redis";
+import { ai_credit_limit } from "../../ratelimit";
 import mime from "mime-types";
 import ai from "@/lib/ai";
 
-type GenerateImageApiRequestBody = {
+export type GenerateImageApiRequestBody = {
   prompt: string;
   width: number;
   height: number;
-  model: ai.image.ProviderModel;
+  model: ai.image.ProviderModel | ai.image.ImageModelId;
+};
+
+export type GenerateImageApiResponse = {
+  data: {
+    object: any;
+    publicUrl: string;
+    timestamp: string;
+    modelId: string;
+  };
 };
 
 export async function POST(req: NextRequest) {
@@ -27,50 +39,47 @@ export async function POST(req: NextRequest) {
     return NextResponse.json({ message: "login required" }, { status: 401 });
   }
 
-  // rate limit
-  const ratelimit = new Ratelimit({
-    redis: Redis.fromEnv(),
-    limiter: Ratelimit.slidingWindow(10, "1h"),
-  });
-
-  const { success, limit, reset, remaining } = await ratelimit.limit(
-    `ratelimit_u_${userdata.user.id}`
-  );
-
-  const ratelimit_headers = {
-    "x-ratelimit-limit": limit.toString(),
-    "x-ratelimit-reset": reset.toString(),
-    "x-ratelimit-remaining": remaining.toString(),
-  };
+  const rate = await ai_credit_limit();
+  if (!rate) {
+    return NextResponse.json(
+      { message: "something went wrong" },
+      { status: 500 }
+    );
+  }
 
-  if (!success) {
+  if (!rate.success) {
     return NextResponse.json(
       {
         message: "ratelimit exceeded",
-        limit,
-        reset,
-        remaining,
+        limit: rate.limit,
+        reset: rate.reset,
+        remaining: rate.remaining,
       },
       {
         status: 429,
-        headers: { ...ratelimit_headers },
+        headers: { ...rate.headers },
       }
     );
   }
 
+  const model = getImageModel(body.model);
+  if (!model) throw new Error("Model not found");
+
   // generate image
   const generation = await generateImage({
     prompt: body.prompt,
     width: body.width,
     height: body.height,
-    model: body.model,
+    model: model,
   });
 
+  const meta = generation.responses[0];
+
   // save to library
   const { object, publicUrl } = await upload_generated_to_library({
     client: service_role.library,
     request: {
-      model: body.model,
+      model: model.modelId,
       prompt: body.prompt,
       width: body.width,
       height: body.height,
@@ -83,18 +92,35 @@ export async function POST(req: NextRequest) {
     data: {
       object,
       publicUrl,
+      modelId: meta.modelId,
+      timestamp: meta.timestamp.toISOString(),
     },
-  });
+  } satisfies GenerateImageApiResponse);
 }
 
-function getImageModel(model: ai.image.ProviderModel) {
+function getImageModel(
+  model: ai.image.ProviderModel | ai.image.ImageModelId
+): ImageModel | null {
+  if (typeof model === "string") {
+    const card = ai.image.models[model];
+    if (!card) return null;
+    switch (card.provider) {
+      case "openai":
+        return openai.image(card.id);
+      case "replicate":
+        return replicate.image(card.id);
+      default:
+        return null;
+    }
+  }
+
   switch (model.provider) {
     case "openai":
       return openai.image(model.modelId);
     case "replicate":
       return replicate.image(model.modelId);
     default:
-      return undefined;
+      return null;
   }
 }
 
@@ -106,7 +132,7 @@ async function upload_generated_to_library({
   client: Awaited<ReturnType<typeof createLibraryClient>>;
   file: GeneratedFile;
   request: {
-    model: ai.image.ProviderModel;
+    model: ai.image.ImageModelId;
     prompt: string;
     width: number;
     height: number;
@@ -137,7 +163,7 @@ async function upload_generated_to_library({
       path: uploaded.path,
       mimetype: mimeType,
       //
-      generator: request.model.modelId,
+      generator: request.model,
       prompt: request.prompt,
       //
       width: request.width,
@@ -159,19 +185,16 @@ async function upload_generated_to_library({
 }
 
 async function generateImage({
-  model: _model,
+  model,
   prompt,
   width,
   height,
 }: {
-  model: ai.image.ProviderModel;
+  model: ImageModel;
   prompt: string;
   width: number;
   height: number;
 }) {
-  const model = getImageModel(_model);
-  if (!model) throw new Error("Model not found");
-
   return await experimental_generateImage({
     model: model,
     prompt: prompt,
diff --git a/editor/app/(api)/private/ai/models/openai/route.ts b/editor/app/(api)/private/ai/models/openai/route.ts
new file mode 100644
index 0000000000..1dd2c6be53
--- /dev/null
+++ b/editor/app/(api)/private/ai/models/openai/route.ts
@@ -0,0 +1,11 @@
+import OpenAI from "openai";
+import { NextResponse } from "next/server";
+
+const openai = new OpenAI({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+export async function GET() {
+  const result = await openai.models.list();
+  return NextResponse.json({ data: result.data });
+}
diff --git a/editor/app/(api)/private/ai/models/route.ts b/editor/app/(api)/private/ai/models/route.ts
index 314a5e7772..dc58788440 100644
--- a/editor/app/(api)/private/ai/models/route.ts
+++ b/editor/app/(api)/private/ai/models/route.ts
@@ -1,12 +1,6 @@
-import OpenAI from "openai";
 import { NextResponse } from "next/server";
-
-const openai = new OpenAI({
-  apiKey: process.env.OPENAI_API_KEY,
-});
+import ai from "@/lib/ai";
 
 export async function GET() {
-  const result = await openai.models.list();
-
-  return NextResponse.json({ data: result.data });
+  return NextResponse.json({ data: ai.image.models });
 }
diff --git a/editor/app/(api)/private/ai/ratelimit.ts b/editor/app/(api)/private/ai/ratelimit.ts
new file mode 100644
index 0000000000..65eb31c68b
--- /dev/null
+++ b/editor/app/(api)/private/ai/ratelimit.ts
@@ -0,0 +1,46 @@
+import { createClient } from "@/lib/supabase/server";
+import { Ratelimit } from "@upstash/ratelimit";
+import { Redis } from "@upstash/redis";
+
+const ratelimit = new Ratelimit({
+  redis: Redis.fromEnv(),
+  limiter: Ratelimit.slidingWindow(20, "30d"),
+});
+
+export async function ai_credit_remaining({ user_id }: { user_id: string }) {
+  const { reset, remaining } = await ratelimit.getRemaining(
+    `ratelimit_u_${user_id}`
+  );
+
+  return {
+    reset,
+    remaining,
+  };
+}
+
+export async function ai_credit_limit() {
+  const client = await createClient();
+
+  const { data: userdata, error: auth_err } = await client.auth.getUser();
+  if (auth_err) throw new Error(auth_err.message);
+  const user_id = userdata.user.id;
+
+  // limit
+  const { success, limit, reset, remaining } = await ratelimit.limit(
+    `ratelimit_u_${user_id}`
+  );
+
+  const ratelimit_headers = {
+    "x-ratelimit-limit": limit.toString(),
+    "x-ratelimit-reset": reset.toString(),
+    "x-ratelimit-remaining": remaining.toString(),
+  };
+
+  return {
+    success: success,
+    limit,
+    reset,
+    remaining,
+    headers: ratelimit_headers,
+  };
+}
diff --git a/editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts b/editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts
index 8a5a24d688..116858df2c 100644
--- a/editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts
+++ b/editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts
@@ -3,9 +3,9 @@ import type OpenAI from "openai";
 
 export function useModels() {
   return useSWR<{ data: OpenAI.Models.Model[] }>(
-    "/private/ai/models",
+    "/private/ai/models/openai",
     async () => {
-      const res = await fetch("/private/ai/models");
+      const res = await fetch("/private/ai/models/openai");
       if (!res.ok) {
         throw new Error("Failed to fetch models");
       }
diff --git a/editor/app/(dev)/canvas/tools/ai/image/page.tsx b/editor/app/(dev)/canvas/tools/ai/image/page.tsx
deleted file mode 100644
index ed761d512c..0000000000
--- a/editor/app/(dev)/canvas/tools/ai/image/page.tsx
+++ /dev/null
@@ -1,42 +0,0 @@
-"use client";
-
-import { useState } from "react";
-
-export default function ImagePlayground() {
-  const [loading, setLoading] = useState(false);
-  const [prompt, setPrompt] = useState("");
-  const [imageSrc, setImageSrc] = useState<string | null>(null);
-
-  const generate = async () => {
-    setLoading(true);
-    const r = await fetch(`/private/ai/generate/image`, {
-      body: JSON.stringify({
-        model: {
-          provider: "replicate",
-          modelId: "recraft-ai/recraft-v3",
-        },
-        width: 1024,
-        height: 1024,
-        prompt,
-      }),
-      method: "POST",
-      headers: {
-        "Content-Type": "application/json",
-      },
-    }).then((res) => res.json());
-    setLoading(false);
-    setImageSrc(r.data.publicUrl);
-  };
-  return (
-    <main>
-      {loading && <p>Loading...</p>}
-      <textarea
-        value={prompt}
-        onChange={(e) => setPrompt(e.target.value)}
-        placeholder="Enter your prompt here"
-      />
-      <button onClick={generate}>Generate Image</button>
-      {imageSrc && <img src={imageSrc} alt="Generated" />}
-    </main>
-  );
-}
diff --git a/editor/app/(dev)/canvas/tools/ai/page.tsx b/editor/app/(dev)/canvas/tools/ai/page.tsx
index e5f45a271c..366dca3f38 100644
--- a/editor/app/(dev)/canvas/tools/ai/page.tsx
+++ b/editor/app/(dev)/canvas/tools/ai/page.tsx
@@ -10,7 +10,7 @@ import { PresetShare } from "./_components/preset-share";
 import { presets } from "./_data/presets";
 import { ModelParams } from "./_components/model-params";
 import { Label } from "@/components/ui/label";
-import { ChatBox } from "./_components/chatbox";
+import { ChatBox } from "@/components/chat";
 import { readStreamableValue } from "ai/rsc";
 import { Canvas } from "./_components/canvas";
 import { generate, type UserAttachment } from "./generate";
@@ -191,6 +191,7 @@ export default function PlaygroundPage() {
                 disabled={streamBusy}
                 uploader={uploader}
                 onValueCommit={(value) => onPrompt(systemall, value)}
+                accept="image/*"
               />
             </aside>
           </div>
diff --git a/editor/app/(dev)/layout.tsx b/editor/app/(dev)/layout.tsx
index 0fb260a87e..70fb91d389 100644
--- a/editor/app/(dev)/layout.tsx
+++ b/editor/app/(dev)/layout.tsx
@@ -3,6 +3,7 @@ import { Inter } from "next/font/google";
 import { ThemeProvider } from "@/components/theme-provider";
 import { ToasterWithMax } from "@/components/toaster";
 import { cookies } from "next/headers";
+import { TooltipProvider } from "@/components/ui/tooltip";
 import { getPlatform } from "@/host/platform";
 import PlatformProvider from "@/host/platform-provider";
 import "../editor.css";
@@ -32,7 +33,9 @@ export default async function RootLayout({
           enableSystem
           disableTransitionOnChange
         >
-          <PlatformProvider {...platform}>{children}</PlatformProvider>
+          <PlatformProvider {...platform}>
+            <TooltipProvider>{children}</TooltipProvider>
+          </PlatformProvider>
         </ThemeProvider>
       </body>
     </html>
diff --git a/editor/app/(dev)/playground/image/_components/image-frame.tsx b/editor/app/(dev)/playground/image/_components/image-frame.tsx
new file mode 100644
index 0000000000..c7e9e52505
--- /dev/null
+++ b/editor/app/(dev)/playground/image/_components/image-frame.tsx
@@ -0,0 +1,68 @@
+import React, { useEffect } from "react";
+import { Skeleton } from "@/components/ui/skeleton";
+import { ShineBorder } from "@/www/ui/shine-border";
+import { useStopwatch } from "react-timer-hook";
+import { cn } from "@/utils";
+import Image from "next/image";
+
+export function GenerationImageFrame({
+  image,
+  className,
+  width,
+  height,
+  start,
+  end,
+}: {
+  image: {
+    src: string;
+    alt: string | null;
+    width: number;
+    height: number;
+  } | null;
+  start?: Date | null;
+  end?: Date | null;
+  width: number;
+  height: number;
+  className?: string;
+}) {
+  const { totalMilliseconds, pause } = useStopwatch({
+    autoStart: true,
+    offsetTimestamp: start ?? undefined,
+    interval: 100,
+  });
+
+  useEffect(() => {
+    if (image) {
+      pause();
+    }
+  }, [image]);
+
+  return (
+    <figure
+      className={cn(
+        "relative w-full h-auto min-h-64 aspect-square overflow-hidden rounded",
+        className
+      )}
+    >
+      {!image && <ShineBorder shineColor={["#A07CFE", "#FE8FB5", "#FFBE7B"]} />}
+      {image ? (
+        <Image
+          src={image.src}
+          width={image.width}
+          height={image.height}
+          alt={image.alt ?? "Generated"}
+          className="w-full h-auto"
+        />
+      ) : (
+        <div className="relative w-full h-full">
+          <Skeleton className="w-full h-full" />
+          <div className="absolute right-2 bottom-2">
+            <span className="font-mono text-xs">
+              {(totalMilliseconds / 1000).toFixed(1)}s
+            </span>
+          </div>
+        </div>
+      )}
+    </figure>
+  );
+}
diff --git a/editor/app/(dev)/playground/image/_page.tsx b/editor/app/(dev)/playground/image/_page.tsx
new file mode 100644
index 0000000000..2197160a0f
--- /dev/null
+++ b/editor/app/(dev)/playground/image/_page.tsx
@@ -0,0 +1,307 @@
+"use client";
+
+import { ChatBox } from "@/components/chat";
+
+import { useCallback, useEffect, useState, useMemo } from "react";
+import { CommandIcon } from "lucide-react";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+  SelectGroup,
+  SelectLabel,
+} from "@/components/ui/select";
+import { GridaLogo } from "@/components/grida-logo";
+import ai from "@/lib/ai";
+import Link from "next/link";
+import { GenerationImageFrame } from "./_components/image-frame";
+import { SlashIcon } from "@radix-ui/react-icons";
+import type {
+  GenerateImageApiRequestBody,
+  GenerateImageApiResponse,
+} from "@/app/(api)/private/ai/generate/image/route";
+
+type GeneratedImage = {
+  src: string;
+  width: number;
+  height: number;
+  alt: string | null;
+};
+
+function useGenerateImage() {
+  const [key, setKey] = useState(0);
+  const [start, setStart] = useState<Date | null>(null);
+  const [end, setEnd] = useState<Date | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [image, setImage] = useState<GeneratedImage | null>(null);
+  const generate = useCallback(
+    async ({
+      model,
+      prompt,
+      width,
+      height,
+    }: {
+      model: ai.image.ProviderModel | ai.image.ImageModelId;
+      prompt: string;
+      width: number;
+      height: number;
+    }) => {
+      setImage(null);
+      setKey((k) => k + 1);
+      setStart(new Date());
+      setEnd(null);
+      setLoading(true);
+      const r: GenerateImageApiResponse = await fetch(
+        `/private/ai/generate/image`,
+        {
+          body: JSON.stringify({
+            model: model,
+            width: width,
+            height: height,
+            prompt,
+          } satisfies GenerateImageApiRequestBody),
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+        }
+      ).then((res) => res.json());
+      setLoading(false);
+      setEnd(new Date(r.data.timestamp));
+      setImage({
+        src: r.data.publicUrl,
+        width: width,
+        height: height,
+        alt: prompt,
+      });
+    },
+    []
+  );
+
+  return {
+    key,
+    loading,
+    image,
+    start,
+    end,
+    generate,
+  };
+}
+
+function useCredits() {
+  const [remaining, setRemaining] = useState(0);
+  const [reset, setReset] = useState(0);
+
+  const refresh = useCallback(async () => {
+    const r = await fetch(`/private/ai/credits`, {
+      method: "GET",
+    }).then((res) => res.json());
+    setRemaining(r.data.remaining);
+    setReset(r.data.reset);
+  }, []);
+
+  useEffect(() => {
+    refresh();
+  }, [refresh]);
+
+  return {
+    remaining,
+    reset,
+    refresh,
+  };
+}
+
+function useImageModelConfig(defaultModel: ai.image.ImageModelId) {
+  const [modelId, setModelId] = useState<ai.image.ImageModelId>(defaultModel);
+  const [config, setConfig] = useState<{
+    width: number;
+    height: number;
+  }>({
+    width: 1024,
+    height: 1024,
+  });
+
+  const [card, setCard] = useState<ai.image.ImageModelCard | undefined>(
+    ai.image.models[defaultModel]
+  );
+
+  const select = useCallback((modelId: ai.image.ImageModelId) => {
+    setCard(ai.image.models[modelId]);
+    setModelId(modelId);
+    // setConfig();
+  }, []);
+
+  const setSize = ({ width, height }: { width: number; height: number }) => {
+    setConfig((c: any) => ({
+      ...(c || {}),
+      width: width,
+      height: height,
+    }));
+  };
+
+  const setSizeFromValue = (value: ai.image.SizeString) => {
+    const [widthStr, heightStr] = value.split("x");
+    const width = parseInt(widthStr);
+    const height = parseInt(heightStr);
+    setSize({ width, height });
+  };
+
+  return {
+    modelId,
+    card,
+    ...config,
+    models: Object.values(ai.image.models) as ai.image.ImageModelCard[],
+    select,
+    setSize,
+    setSizeFromValue,
+  };
+}
+
+export default function ImagePlayground() {
+  const credits = useCredits();
+  const [prompt, setPrompt] = useState("");
+  const model = useImageModelConfig("gpt-image-1");
+  const { generate, key, loading, image, start, end } = useGenerateImage();
+
+  const sizeGroups = useMemo(() => {
+    const groups = {
+      square: [] as ai.image.SizeWithAspectRatio[],
+      horizontal: [] as ai.image.SizeWithAspectRatio[],
+      vertical: [] as ai.image.SizeWithAspectRatio[],
+    };
+    (model.card?.sizes ?? []).forEach((s) => {
+      const [w, h, r] = s;
+      const key = w === h ? "square" : w > h ? "horizontal" : "vertical";
+      groups[key].push(s);
+    });
+    return groups;
+  }, [model.card]);
+
+  const onCommit = (value: { text: string }) => {
+    setPrompt(value.text);
+    generate({
+      model: model.modelId,
+      width: model.width,
+      height: model.height,
+      prompt: value.text,
+    }).finally(() => {
+      credits.refresh();
+    });
+  };
+
+  return (
+    <div className="relative w-full min-h-screen h-screen overflow-hidden">
+      <header className="absolute left-4 top-4 flex items-center gap-1">
+        <Link href="/home">
+          <GridaLogo />
+        </Link>
+        <SlashIcon className="size-5" />
+        <span className="text-sm font-bold">Image Playground</span>
+      </header>
+      <main className="w-full h-full flex flex-col container max-w-xl mx-auto p-4">
+        <div className="flex-1 flex flex-col items-center justify-center">
+          {(loading || image) && (
+            <GenerationImageFrame
+              key={key}
+              start={start}
+              end={end}
+              width={model.width}
+              height={model.height}
+              image={image}
+              className="w-full overflow-scroll shadow-lg"
+            />
+          )}
+        </div>
+        <div className="mt-4 flex flex-col gap-2">
+          <div className="flex items-center gap-2 rounded-lg p-1 border">
+            <Select
+              value={`${model.width}x${model.height}`}
+              onValueChange={model.setSizeFromValue}
+            >
+              <SelectTrigger className="w-min border-none">
+                <SelectValue placeholder="Select size" />
+              </SelectTrigger>
+              <SelectContent>
+                {sizeGroups.square.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Square</SelectLabel>
+                    {sizeGroups.square.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+                {sizeGroups.horizontal.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Horizontal</SelectLabel>
+                    {sizeGroups.horizontal.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+                {sizeGroups.vertical.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Vertical</SelectLabel>
+                    {sizeGroups.vertical.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+              </SelectContent>
+            </Select>
+            <Select
+              value={model.modelId}
+              onValueChange={(v) => model.select(v as ai.image.ImageModelId)}
+            >
+              <SelectTrigger className="w-min border-none">
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                {model.models.map((m) => (
+                  <SelectItem key={m.id} value={m.id}>
+                    {m.label}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+          </div>
+          <ChatBox
+            disabled={loading}
+            onValueCommit={onCommit}
+            placeholder="Describe what you want to see..."
+          />
+        </div>
+      </main>
+      <div className="absolute top-4 right-4">
+        <Tooltip>
+          <TooltipTrigger>
+            <div className="px-2 py-1 bg-muted rounded-md border flex gap-1 items-center">
+              <CommandIcon className="size-3" />
+              <span className="text-sm font-mono">
+                {credits.remaining?.toString()}
+              </span>
+            </div>
+          </TooltipTrigger>
+          <TooltipContent side="top" align="start">
+            <div className="text-sm font-mono">
+              {credits.remaining?.toString()} free credits remaining
+            </div>
+          </TooltipContent>
+        </Tooltip>
+      </div>
+    </div>
+  );
+}
diff --git a/editor/app/(dev)/playground/image/page.tsx b/editor/app/(dev)/playground/image/page.tsx
new file mode 100644
index 0000000000..88bfa38096
--- /dev/null
+++ b/editor/app/(dev)/playground/image/page.tsx
@@ -0,0 +1,12 @@
+import React from "react";
+import { type Metadata } from "next";
+import ImagePlayground from "./_page";
+
+export const metadata: Metadata = {
+  title: "Image Playground",
+  description: "Playground for generating images",
+};
+
+export default function ImagePlaygroundPage() {
+  return <ImagePlayground />;
+}
diff --git a/editor/app/(library)/library/o/[id]/page.tsx b/editor/app/(library)/library/o/[id]/page.tsx
index c889caa5eb..44939280cb 100644
--- a/editor/app/(library)/library/o/[id]/page.tsx
+++ b/editor/app/(library)/library/o/[id]/page.tsx
@@ -46,8 +46,13 @@ export default async function ObjectPage({
 
   const { author } = object;
 
+  const text =
+    object.description || object.alt || object.title || object.prompt;
+
+  const has_colors = object.colors && object.colors.length > 0;
+
   return (
-    <div className="flex flex-col items-center justify-center min-h-screen p-8">
+    <div className="container max-w-4xl mx-auto flex flex-col items-center justify-center text-center min-h-screen p-8">
       <Image
         src={object.url}
         alt={
@@ -69,25 +74,26 @@ export default async function ObjectPage({
           maxHeight: object.height,
         }}
       />
-      {/* colors */}
-      <div className="flex gap-2 mt-4">
-        {object.color && (
-          <div
-            className="w-8 h-8 rounded-full"
-            style={{
-              backgroundColor: object.color,
-            }}
-          />
-        )}
-        <Separator orientation="vertical" className="h-8" />
-        {object.colors.map((color, i) => (
-          <div
-            key={i}
-            className="w-8 h-8 rounded-full"
-            style={{ backgroundColor: color }}
-          />
-        ))}
-      </div>
+      {has_colors && (
+        <div className="flex gap-2 mt-4">
+          {object.color && (
+            <div
+              className="w-8 h-8 rounded-full"
+              style={{
+                backgroundColor: object.color,
+              }}
+            />
+          )}
+          <Separator orientation="vertical" className="h-8" />
+          {object.colors.map((color, i) => (
+            <div
+              key={i}
+              className="w-8 h-8 rounded-full"
+              style={{ backgroundColor: color }}
+            />
+          ))}
+        </div>
+      )}
       <div className="flex flex-wrap gap-2 mt-4">
         {object.objects.map((keyword, i) => (
           <Badge variant="outline" key={i}>
@@ -101,7 +107,7 @@ export default async function ObjectPage({
         ))}
       </div>
       <h1 className="text-2xl mt-4">{object.title}</h1>
-      <p className="text-xs text-muted-foreground">{object.description}</p>
+      <p className="text-xs text-muted-foreground">{text}</p>
       {author && (
         <div>
           <Link
@@ -119,6 +125,9 @@ export default async function ObjectPage({
       {/* license */}
       <div className="flex gap-2 mt-4">
         <span className="text-xs">License: {object.license}</span>
+        {object.generator && (
+          <span className="text-xs">Generator: {object.generator}</span>
+        )}
       </div>
 
       <footer className="mt-10">
diff --git a/editor/app/(library)/library/page.tsx b/editor/app/(library)/library/page.tsx
index 28f7f0a77e..b6755bece8 100644
--- a/editor/app/(library)/library/page.tsx
+++ b/editor/app/(library)/library/page.tsx
@@ -3,8 +3,9 @@ import Image from "next/image";
 import { list, listCategories, search } from "../actions";
 import { Input } from "@/components/ui/input";
 import { GridaLogo } from "@/components/grida-logo";
-import Link from "next/link";
 import { getBlurDataURLFromColor } from "@/utils/placeholder";
+import type { Library } from "@/lib/library";
+import Link from "next/link"; //
 
 export default async function LibraryHomePage({
   searchParams,
@@ -70,7 +71,7 @@ export default async function LibraryHomePage({
       </section>
 
       <section>
-        <div className="grid grid-cols-2 sm:grid-cols-3 md:grid-cols-4 gap-4">
+        <div className="grid grid-cols-1 sm:grid-cols-2 md:grid-cols-3 lg:grid-cols-4 xl:grid-cols-5 gap-4">
           {/* Resource cards placeholder */}
           {objects.data?.map((object) => (
             <Link
@@ -78,46 +79,7 @@ export default async function LibraryHomePage({
               href={`/library/o/${object.id}`}
               className="group transition-all"
             >
-              <div key={object.id}>
-                <Image
-                  src={object.url}
-                  alt={
-                    object.alt ||
-                    object.description ||
-                    object.title ||
-                    object.prompt ||
-                    object.category
-                  }
-                  width={object.width}
-                  height={object.height}
-                  placeholder={object.color ? "blur" : undefined}
-                  blurDataURL={
-                    object.color
-                      ? getBlurDataURLFromColor(object.color)
-                      : undefined
-                  }
-                  className="w-full object-cover rounded"
-                />
-                <div className="py-2">
-                  <div className="text-xs text-muted-foreground">
-                    {object.description ||
-                      object.alt ||
-                      object.title ||
-                      object.prompt}
-                  </div>
-                  {object.author && (
-                    <Link
-                      href={object.author.blog ?? "#"}
-                      target="_blank"
-                      rel="noopener noreferrer"
-                    >
-                      <div className="text-xs underline">
-                        by {object.author.name}
-                      </div>
-                    </Link>
-                  )}
-                </div>
-              </div>
+              <ImageCard object={object} />
             </Link>
           ))}
         </div>
@@ -125,3 +87,50 @@ export default async function LibraryHomePage({
     </main>
   );
 }
+
+function ImageCard({
+  object,
+}: {
+  object: Library.Object & {
+    url: string;
+    author: Library.Author | null;
+  };
+}) {
+  const text =
+    object.description || object.alt || object.title || object.prompt;
+  return (
+    <div className="group relative">
+      <Image
+        src={object.url}
+        alt={
+          object.alt ||
+          object.description ||
+          object.title ||
+          object.prompt ||
+          object.category
+        }
+        width={object.width}
+        height={object.height}
+        placeholder={object.color ? "blur" : undefined}
+        blurDataURL={
+          object.color ? getBlurDataURLFromColor(object.color) : undefined
+        }
+        className="w-full object-cover rounded"
+      />
+      <div className="py-2 flex flex-col gap-1">
+        <div className="max-h-10">
+          <p className="text-xs text-muted-foreground line-clamp-2">{text}</p>
+        </div>
+        {object.author && (
+          <Link
+            href={object.author.blog ?? "#"}
+            target="_blank"
+            rel="noopener noreferrer"
+          >
+            <div className="text-xs underline">@{object.author.name}</div>
+          </Link>
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/editor/app/(dev)/canvas/tools/ai/_components/chatbox.tsx b/editor/components/chat/chatbox.tsx
similarity index 80%
rename from editor/app/(dev)/canvas/tools/ai/_components/chatbox.tsx
rename to editor/components/chat/chatbox.tsx
index 849615f6f8..0f392bd341 100644
--- a/editor/app/(dev)/canvas/tools/ai/_components/chatbox.tsx
+++ b/editor/components/chat/chatbox.tsx
@@ -3,13 +3,13 @@
 import React, { useEffect } from "react";
 import { Button } from "@/components/ui/button";
 import { ArrowUpIcon, ImageUpIcon } from "lucide-react";
-import { FileIO } from "@/lib/file";
 import { useFilePicker } from "use-file-picker";
-import { cn } from "@/utils";
+import { Cross2Icon } from "@radix-ui/react-icons";
+import { cn } from "@/utils/cn";
+import type { FileIO } from "@/lib/file";
 import Image from "next/image";
 import TextareaAutoResize from "react-textarea-autosize";
 import toast from "react-hot-toast";
-import { Cross2Icon } from "@radix-ui/react-icons";
 
 type Attachment = {
   type: "file" | "image";
@@ -22,20 +22,26 @@ export function ChatBox({
   disabled,
   onValueCommit,
   uploader,
+  placeholder = "Chat with your prompt...",
   className,
+  accept,
 }: {
   disabled?: boolean;
   onValueCommit?: (value: { text: string; attachments: Attachment[] }) => void;
   uploader?: FileIO.BucketFileUploaderFn;
+  placeholder?: string;
   className?: string;
+  accept?: string;
 }) {
   const [attatchment, setAttachment] = React.useState<Attachment>();
 
   const { plainFiles, openFilePicker } = useFilePicker({
-    accept: "image/*",
+    accept: accept,
     multiple: false,
   });
 
+  const acceptsImage = accept?.includes("image/") ?? false;
+
   useEffect(
     () => {
       if (plainFiles.length === 1) {
@@ -63,6 +69,7 @@ export function ChatBox({
   );
 
   const [txt, setTxt] = React.useState<string>("");
+  const textareaRef = React.useRef<HTMLTextAreaElement>(null);
 
   const clear = () => {
     setTxt("");
@@ -85,9 +92,10 @@ export function ChatBox({
   return (
     <div
       className={cn(
-        "w-full flex flex-col rounded-xl border border-input bg-muted p-4",
+        "w-full flex flex-col rounded-xl border border-input bg-muted cursor-text",
         className
       )}
+      onClick={() => textareaRef.current?.focus()}
     >
       {attatchment && (
         <div className="flex mb-2">
@@ -111,8 +119,10 @@ export function ChatBox({
         </div>
       )}
       <TextareaAutoResize
-        placeholder="Chat with your prompt..."
-        className="resize-none border-none outline-none bg-transparent"
+        ref={textareaRef}
+        placeholder={placeholder}
+        maxRows={10}
+        className="resize-none border-none outline-none bg-transparent text-sm p-4"
         value={txt}
         onChange={(e) => setTxt(e.target.value)}
         onKeyDown={(e) => {
@@ -122,16 +132,18 @@ export function ChatBox({
           }
         }}
       />
-      <div className="flex items-center justify-between mt-2">
+      <div className="flex items-center justify-between mt-2 px-4 pb-4">
         <div className="flex-1 flex items-center gap-2">
-          <Button
-            type="button"
-            variant="ghost"
-            size="icon"
-            onClick={openFilePicker}
-          >
-            <ImageUpIcon className="size-4" />
-          </Button>
+          {acceptsImage && (
+            <Button
+              type="button"
+              variant="ghost"
+              size="icon"
+              onClick={openFilePicker}
+            >
+              <ImageUpIcon className="size-4" />
+            </Button>
+          )}
         </div>
         <Button
           disabled={disabled}
diff --git a/editor/components/chat/index.ts b/editor/components/chat/index.ts
new file mode 100644
index 0000000000..94811beecd
--- /dev/null
+++ b/editor/components/chat/index.ts
@@ -0,0 +1 @@
+export * from "./chatbox";
diff --git a/editor/lib/ai/ai.ts b/editor/lib/ai/ai.ts
index 1e0b0e2651..76b4b1e50b 100644
--- a/editor/lib/ai/ai.ts
+++ b/editor/lib/ai/ai.ts
@@ -1,4 +1,13 @@
 export namespace ai {
+  const grida_ai_credit_in_usd = 0.0016;
+
+  export type Provider = "openai" | "replicate";
+  export type Vendor =
+    | "openai"
+    | "recraft-ai"
+    | "black-forest-labs"
+    | "stability-ai";
+
   export namespace image {
     export type ProviderModel =
       | {
@@ -45,5 +54,148 @@ export namespace ai {
       | "stability-ai/stable-diffusion-3.5-medium"
       | "tstramer/material-diffusion"
       | (string & {});
+
+    export type ImageModelId = OpenAIImageModelId | ReplicateImageModelId;
+
+    export type AspectRatioString = `${number}:${number}`;
+
+    export type SizeString = `${number}x${number}`;
+
+    export type SizeWithAspectRatio = [number, number, AspectRatioString];
+
+    export type ImageModelCard = {
+      id: ImageModelId;
+      label: string;
+      short_description: string;
+      vendor: Vendor;
+      provider: Provider;
+      styles: string[] | null;
+      speed_label: "fast" | "medium" | "slow" | "slowest";
+      speed_max: string;
+      min_width: number;
+      max_width: number;
+      min_height: number;
+      max_height: number;
+      sizes: SizeWithAspectRatio[] | null;
+      avg_ppi: number;
+      avg_credit: number;
+    };
+
+    type RecraftV3Style =
+      | "any"
+      | "realistic_image"
+      | "digital_illustration"
+      | "digital_illustration/pixel_art"
+      | "digital_illustration/hand_drawn"
+      | "digital_illustration/grain"
+      | "digital_illustration/infantile_sketch"
+      | "digital_illustration/2d_art_poster"
+      | "digital_illustration/handmade_3d"
+      | "digital_illustration/hand_drawn_outline"
+      | "digital_illustration/engraving_color"
+      | "digital_illustration/2d_art_poster_2"
+      | "realistic_image/b_and_w"
+      | "realistic_image/hard_flash"
+      | "realistic_image/hdr"
+      | "realistic_image/natural_light"
+      | "realistic_image/studio_portrait"
+      | "realistic_image/enterprise"
+      | "realistic_image/motion_blur";
+
+    export const models: Partial<Record<ImageModelId, ImageModelCard>> = {
+      "gpt-image-1": {
+        id: "gpt-image-1",
+        label: "GPT Image",
+        short_description: "State-of-the-art image generation model",
+        vendor: "openai",
+        provider: "openai",
+        speed_label: "slowest",
+        speed_max: "1m",
+        styles: null,
+        sizes: [
+          [1024, 1024, "1:1"],
+          [1024, 1536, "2:3"],
+          [1536, 1024, "3:2"],
+        ],
+        min_width: 1024,
+        max_width: 1536,
+        min_height: 1024,
+        max_height: 1536,
+        avg_ppi: 0.0975,
+        avg_credit: 62,
+      },
+      "recraft-ai/recraft-v3": {
+        id: "recraft-ai/recraft-v3",
+        label: "Recraft V3",
+        short_description:
+          "Recraft V3 (code-named red_panda) is a text-to-image model with the ability to generate long texts, and images in a wide list of styles. As of today, it is SOTA in image generation, proven by the Text-to-Image Benchmark by Artificial Analysis",
+        vendor: "recraft-ai",
+        provider: "replicate",
+        speed_label: "slow",
+        speed_max: "30s",
+        styles: [
+          "any",
+          "realistic_image",
+          "digital_illustration",
+          "digital_illustration/pixel_art",
+          "digital_illustration/hand_drawn",
+          "digital_illustration/grain",
+          "digital_illustration/infantile_sketch",
+          "digital_illustration/2d_art_poster",
+          "digital_illustration/handmade_3d",
+          "digital_illustration/hand_drawn_outline",
+          "digital_illustration/engraving_color",
+          "digital_illustration/2d_art_poster_2",
+          "realistic_image/b_and_w",
+          "realistic_image/hard_flash",
+          "realistic_image/hdr",
+          "realistic_image/natural_light",
+          "realistic_image/studio_portrait",
+          "realistic_image/enterprise",
+          "realistic_image/motion_blur",
+        ] as RecraftV3Style[],
+        sizes: [
+          [1024, 1024, "1:1"],
+          [1365, 1024, "4:3"],
+          [1024, 1365, "3:4"],
+          [1536, 1024, "3:2"],
+          [1024, 1536, "2:3"],
+          [1820, 1024, "16:9"],
+          [1024, 1820, "9:16"],
+          [1024, 2048, "1:2"],
+          [2048, 1024, "2:1"],
+          [1434, 1024, "7:5"],
+          [1024, 1434, "5:7"],
+          [1024, 1280, "4:5"],
+          [1280, 1024, "5:4"],
+          [1024, 1707, "3:5"],
+          [1707, 1024, "5:3"],
+        ],
+        min_width: 1024,
+        max_width: 1820,
+        min_height: 1024,
+        max_height: 1820,
+        avg_ppi: 0.04,
+        avg_credit: 25,
+      },
+      "black-forest-labs/flux-1.1-pro": {
+        id: "black-forest-labs/flux-1.1-pro",
+        label: "Flux Pro 1.1",
+        short_description:
+          "Faster, better FLUX Pro. Text-to-image model with excellent image quality, prompt adherence, and output diversity.",
+        vendor: "black-forest-labs",
+        provider: "replicate",
+        speed_label: "slow",
+        speed_max: "30s",
+        styles: null,
+        sizes: null,
+        min_width: 256,
+        max_width: 1440,
+        min_height: 256,
+        max_height: 1440,
+        avg_ppi: 0.04,
+        avg_credit: 25,
+      },
+    } as const;
   }
 }
diff --git a/editor/lib/library/index.ts b/editor/lib/library/index.ts
new file mode 100644
index 0000000000..04bd704302
--- /dev/null
+++ b/editor/lib/library/index.ts
@@ -0,0 +1,52 @@
+export namespace Library {
+  export type Object = {
+    alt: string | null;
+    author_id: string | null;
+    background: string | null;
+    bytes: number;
+    categories: unknown[];
+    category: string;
+    color: string | null;
+    colors: unknown[];
+    created_at: string;
+    description: string | null;
+    entropy: number | null;
+    fill: string | null;
+    generator: string | null;
+    gravity_x: number | null;
+    gravity_y: number | null;
+    height: number;
+    id: string;
+    keywords: string[];
+    lang: string | null;
+    license: string;
+    mimetype: string;
+    objects: string[];
+    orientation: "portrait" | "landscape" | "square" | null;
+    path: string;
+    path_tokens: string[] | null;
+    prompt: string | null;
+    public_domain: boolean;
+    score: number | null;
+    search_tsv: unknown | null;
+    sys_annotations: string[];
+    title: string | null;
+    transparency: boolean;
+    updated_at: string;
+    version: number;
+    width: number;
+    year: number | null;
+  };
+
+  export type Author = {
+    id: string;
+    user_id: string | null;
+    avatar_url: string | null;
+    blog: string | null;
+    created_at: string;
+    name: string;
+    provider: string | null;
+    updated_at: string;
+    username: string;
+  };
+}
diff --git a/editor/package.json b/editor/package.json
index 687951c5fd..dea23c9bdb 100644
--- a/editor/package.json
+++ b/editor/package.json
@@ -183,7 +183,7 @@
     "react-player": "^2.14.1",
     "react-rnd": "^10.5.2",
     "react-textarea-autosize": "^8.5.9",
-    "react-timer-hook": "^3.0.7",
+    "react-timer-hook": "^4.0.5",
     "react-use": "^17.5.1",
     "react-window": "^1.8.6",
     "recharts": "^2.12.7",
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index efc51bdd34..32bdf98add 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -917,8 +917,8 @@ importers:
         specifier: ^8.5.9
         version: 8.5.9(@types/react@18.2.58)(react@18.3.1)
       react-timer-hook:
-        specifier: ^3.0.7
-        version: 3.0.8(react@18.3.1)
+        specifier: ^4.0.5
+        version: 4.0.5(react@18.3.1)
       react-use:
         specifier: ^17.5.1
         version: 17.6.0(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
@@ -17464,8 +17464,8 @@ packages:
     peerDependencies:
       react: ^18.2.0
 
-  react-timer-hook@3.0.8:
-    resolution: {integrity: sha512-bi2e7DhPBU1MRPU4ZHaVqBmgM9e2HK0ae8O2AIqwqjcPo4/qR7lVGQonOQLAKOZPQCJSYfV8F5aBWzOLXElzqQ==}
+  react-timer-hook@4.0.5:
+    resolution: {integrity: sha512-elDxx4OIxBTbm4rXSK5cjBHkq06prO2qY9JzoYxOa11AkL3ij69jp0VuDUOqcehEK38CV0uu7FzUKtPVISRLKA==}
     peerDependencies:
       react: ^18.2.0
 
@@ -42485,7 +42485,7 @@ snapshots:
     transitivePeerDependencies:
       - '@types/react'
 
-  react-timer-hook@3.0.8(react@18.3.1):
+  react-timer-hook@4.0.5(react@18.3.1):
     dependencies:
       react: 18.3.1
 
diff --git a/supabase/schemas/library.sql b/supabase/schemas/grida_library.sql
similarity index 100%
rename from supabase/schemas/library.sql
rename to supabase/schemas/grida_library.sql


Reviews:
user: login: coderabbitai[bot]
body: **Actionable comments posted: 10**

<details>
<summary>🔭 Outside diff range comments (2)</summary><blockquote>

<details>
<summary>editor/app/(api)/private/ai/generate/image/route.ts (2)</summary><blockquote>

`80-88`: _⚠️ Potential issue_

**`model.modelId` may be undefined**

`openai.image()` and `replicate.image()` usually expose `id`, not `modelId`.  
Persisting `undefined` breaks relational integrity and makes the UI show “unknown model”.

```diff
-      model: model.modelId,
+      model: (model as any).modelId ?? (model as any).id,
```

---

`127-178`: _🛠️ Refactor suggestion_

**Mixed use of two Supabase clients**

`upload_generated_to_library` accepts a `client` argument but still uses `service_role.library` for the upload.  Using two different clients in the same transaction risks permission drift and makes the call site confusing.

Either:

1. Pass only `service_role.library` and drop the `client` parameter, or  
2. Consistently use the injected `client` everywhere.

```diff
-  const { data: uploaded, error: upload_err } =
-    await service_role.library.storage
+  const { data: uploaded, error: upload_err } =
+    await client.storage
```
and similar for later calls.

</blockquote></details>

</blockquote></details>

<details>
<summary>🧹 Nitpick comments (12)</summary><blockquote>

<details>
<summary>editor/app/(api)/private/ai/ratelimit.ts (1)</summary><blockquote>

`5-8`: **Rate limiter configuration seems appropriate.**

The sliding window policy of 20 requests per 30 days seems reasonable for an AI image generation service. However, consider making these values configurable through environment variables for easier adjustments.

```diff
 const ratelimit = new Ratelimit({
   redis: Redis.fromEnv(),
-  limiter: Ratelimit.slidingWindow(20, "30d"),
+  limiter: Ratelimit.slidingWindow(
+    Number(process.env.AI_CREDIT_LIMIT ?? 20),
+    process.env.AI_CREDIT_PERIOD ?? "30d"
+  ),
 });
```

</blockquote></details>
<details>
<summary>editor/lib/ai/ai.ts (2)</summary><blockquote>

`84-103`: **Consider extracting `RecraftV3Style` to its own file if it grows further.**

While the current implementation is fine, if you add more model-specific types in the future, consider moving them to separate files to maintain this file's readability.

---

`105-199`: **Well-structured model registry with comprehensive metadata.**

The model registry provides detailed information about each supported AI model, including size constraints, style options, and pricing. The `as const` assertion ensures type safety.

Two suggestions for improvement:
1. Consider adding JSDoc comments to document the purpose and usage of the `models` constant
2. It might be worth adding versioning information for each model to track changes over time

</blockquote></details>
<details>
<summary>editor/app/(api)/private/ai/credits/route.ts (1)</summary><blockquote>

`12-21`: **Simplify the response structure for better readability.**

The current response structure has unnecessary nesting and explicit status code that can be simplified.


Consider simplifying the response structure:

```diff
-  return NextResponse.json(
-    {
-      data,
-    },
-    {
-      status: 200,
-    }
-  );
+  return NextResponse.json({ data });
```

The default status is already 200, so it doesn't need to be explicitly specified unless you're setting a different status.

</blockquote></details>
<details>
<summary>editor/app/(library)/library/page.tsx (1)</summary><blockquote>

`91-136`: **Well-structured ImageCard component with proper typing.**

The component has clear prop types and a clean layout structure. However, consider moving this component to a separate file if it will be reused elsewhere in the application.

```diff
+// Consider moving this component to a separate file, e.g., components/library/ImageCard.tsx
```

</blockquote></details>
<details>
<summary>editor/components/chat/chatbox.tsx (1)</summary><blockquote>

`36-36`: **Fix typo in variable name.**

The variable name is misspelled as "attatchment" instead of "attachment".

```diff
-const [attatchment, setAttachment] = React.useState<Attachment>();
+const [attachment, setAttachment] = React.useState<Attachment>();
```

Remember to update all usages of this variable throughout the component (e.g., in lines 83, 100).

</blockquote></details>
<details>
<summary>editor/app/(dev)/playground/image/_components/image-frame.tsx (2)</summary><blockquote>

`1-7`: **Inconsistent utility import path.**

The `cn` utility is imported from "@/utils" here but from "@/utils/cn" in the ChatBox component.

```diff
-import { cn } from "@/utils";
+import { cn } from "@/utils/cn";
```

---

`60-61`: **Consider debouncing the timer display.**

The timer updates every 100ms which might cause flickering. Consider updating less frequently or using a technique to smooth the display.

```diff
-          <span className="font-mono text-xs">
-            {(totalMilliseconds / 1000).toFixed(1)}s
-          </span>
+          <span className="font-mono text-xs">
+            {Math.floor(totalMilliseconds / 100) / 10}s
+          </span>
```

</blockquote></details>
<details>
<summary>editor/app/(api)/private/ai/generate/image/route.ts (3)</summary><blockquote>

`33-34`: **Remove or use the captured client IP**

`const ip = req.headers.get("x-forwarded-for");`  
The variable is never used, which is a minor dead-code smell. Either pass it to `ai_credit_limit()` (see next comment) or drop the assignment.

---

`92-99`: **Use local variable to satisfy the TS ‘satisfies’ check**

`… satisfies GenerateImageApiResponse` inside a function argument is legal but harms readability. Consider preparing the payload first:

```diff
-  return NextResponse.json({
-    data: { … },
-  } satisfies GenerateImageApiResponse);
+  const payload: GenerateImageApiResponse = { data: { … } };
+  return NextResponse.json(payload);
```

---

`187-204`: **Rename helper to avoid shadowing**

The local `generateImage` shadows the imported `experimental_generateImage`, which can confuse readers and autocomplete.

```diff
-async function generateImage({
+async function generateImageWithSdk({
…
-  return await experimental_generateImage({
+  return experimental_generateImage({
```

</blockquote></details>
<details>
<summary>editor/app/(dev)/playground/image/_page.tsx (1)</summary><blockquote>

`122-140`: **Reset size when switching models**

Selecting a new model leaves the old size intact, even if the chosen model does not support it, leading to 400-level API errors.

Inside `select`:

```diff
  setCard(ai.image.models[modelId]);
  setModelId(modelId);
+ const firstSupported = ai.image.models[modelId]?.sizes?.[0];
+ if (firstSupported) {
+   const [w, h] = firstSupported;
+   setConfig({ width: w, height: h });
+ }
```

</blockquote></details>

</blockquote></details>

<details>
<summary>📜 Review details</summary>

**Configuration used: CodeRabbit UI**
**Review profile: CHILL**
**Plan: Pro**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between b038923411b3360d7121e6cf6c898d6d75c7a01a and debfb03db9e938450b18e5b248511df0bcb24dd0.

</details>

<details>
<summary>⛔ Files ignored due to path filters (1)</summary>

* `pnpm-lock.yaml` is excluded by `!**/pnpm-lock.yaml`

</details>

<details>
<summary>📒 Files selected for processing (19)</summary>

* `editor/app/(api)/private/ai/credits/route.ts` (1 hunks)
* `editor/app/(api)/private/ai/generate/image/route.ts` (6 hunks)
* `editor/app/(api)/private/ai/models/openai/route.ts` (1 hunks)
* `editor/app/(api)/private/ai/models/route.ts` (1 hunks)
* `editor/app/(api)/private/ai/ratelimit.ts` (1 hunks)
* `editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts` (1 hunks)
* `editor/app/(dev)/canvas/tools/ai/image/page.tsx` (0 hunks)
* `editor/app/(dev)/canvas/tools/ai/page.tsx` (2 hunks)
* `editor/app/(dev)/layout.tsx` (2 hunks)
* `editor/app/(dev)/playground/image/_components/image-frame.tsx` (1 hunks)
* `editor/app/(dev)/playground/image/_page.tsx` (1 hunks)
* `editor/app/(dev)/playground/image/page.tsx` (1 hunks)
* `editor/app/(library)/library/o/[id]/page.tsx` (4 hunks)
* `editor/app/(library)/library/page.tsx` (2 hunks)
* `editor/components/chat/chatbox.tsx` (6 hunks)
* `editor/components/chat/index.ts` (1 hunks)
* `editor/lib/ai/ai.ts` (2 hunks)
* `editor/lib/library/index.ts` (1 hunks)
* `editor/package.json` (1 hunks)

</details>

<details>
<summary>💤 Files with no reviewable changes (1)</summary>

* editor/app/(dev)/canvas/tools/ai/image/page.tsx

</details>

<details>
<summary>🧰 Additional context used</summary>

<details>
<summary>🧬 Code Graph Analysis (2)</summary>

<details>
<summary>editor/components/chat/chatbox.tsx (1)</summary><blockquote>

<details>
<summary>editor/lib/file/index.ts (1)</summary>

* `BucketFileUploaderFn` (51-51)

</details>

</blockquote></details>
<details>
<summary>editor/app/(api)/private/ai/ratelimit.ts (1)</summary><blockquote>

<details>
<summary>editor/lib/supabase/server.ts (1)</summary>

* `createClient` (41-43)

</details>

</blockquote></details>

</details>

</details>

<details>
<summary>🔇 Additional comments (36)</summary><blockquote>

<details>
<summary>editor/package.json (1)</summary>

`186-186`: **Package version update looks good.**

The update from react-timer-hook v3.0.7 to v4.0.5 is appropriate for supporting new components that utilize timer functionality in the image generation playground.

</details>
<details>
<summary>editor/app/(dev)/layout.tsx (1)</summary>

`6-6`: **Good addition of TooltipProvider.**

Adding the TooltipProvider at the layout level ensures tooltips are available throughout the application, which is essential for the new image playground UI components.



Also applies to: 36-38

</details>
<details>
<summary>editor/lib/library/index.ts (2)</summary>

`1-39`: **Well-structured Library.Object type definition.**

The Library.Object type is comprehensive and includes all necessary properties for representing library items with proper type safety. The nullable fields are appropriately marked.

---

`41-52`: **Clear Author type definition.**

The Library.Author type properly defines all properties needed for author entities. This will provide good type safety when working with author data throughout the application.

</details>
<details>
<summary>editor/app/(api)/private/ai/ratelimit.ts (1)</summary>

`10-19`: **Good implementation of credit checking function.**

The `ai_credit_remaining` function is well-structured and returns the necessary information without consuming credits.

</details>
<details>
<summary>editor/lib/ai/ai.ts (4)</summary>

`2-2`: **Good addition of credit-to-USD conversion constant.**

This constant will be useful for calculating costs and displaying pricing information throughout the application.

---

`4-9`: **Well-defined type system for AI providers and vendors.**

The clear separation between providers (service platforms like OpenAI, Replicate) and vendors (actual model creators) provides good structure for the AI system.

---

`58-64`: **Good type definitions for image sizes and aspect ratios.**

These type definitions create a strong type system for working with image dimensions and aspect ratios. The template literal types are particularly well-implemented.

---

`66-82`: **Comprehensive `ImageModelCard` type definition.**

The type covers all necessary metadata for AI image models including technical constraints, performance characteristics, and credit costs. This will enable consistent handling of different models throughout the application.

</details>
<details>
<summary>editor/app/(dev)/canvas/tools/ai/page.tsx (2)</summary>

`13-13`: **Improved import path using module alias.**

Good change from relative import to module alias, which improves maintainability.

---

`194-194`: **Added file type restriction for uploads.**

Adding the `accept="image/*"` prop to ChatBox component is a good enhancement that restricts uploads to image files only, improving the user experience by preventing invalid file uploads.

</details>
<details>
<summary>editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts (1)</summary>

`6-8`: <details>
<summary>❓ Verification inconclusive</summary>

**Updated API endpoint to use the OpenAI-specific route.**

The hook now correctly points to the new OpenAI-specific endpoint `/private/ai/models/openai`. This change aligns with the new backend routes structure.


---

🏁 Script executed:

```shell
#!/bin/bash
# Verify that the OpenAI models endpoint exists
fd --type file "route.ts" | xargs grep -l "private/ai/models/openai"
```

Length of output: 66

---

🏁 Script executed:

```shell
#!/bin/bash
# Broadly search for the updated OpenAI models endpoint across all files
rg -n "/private/ai/models/openai"
```

Length of output: 238

---



</details>

**Verify backend route for OpenAI models endpoint**

I searched the entire codebase and only found the new `/private/ai/models/openai` URL in the client hook. There’s no evidence of a corresponding server-side route.  
Please confirm that the backend has been updated to expose this endpoint before merging.

• Location needing confirmation:  
  - `editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts` (lines 6–8)

</details>
<details>
<summary>editor/components/chat/index.ts (1)</summary>

`1-1`: **Added barrel export for chat components.**

This is a good practice for component organization, making imports cleaner throughout the application. The barrel file makes it easy to import the ChatBox component from `@/components/chat` instead of having to use longer paths.

</details>
<details>
<summary>editor/app/(api)/private/ai/models/route.ts (1)</summary>

`2-5`: **LGTM: Clean implementation using centralized AI configuration.**

The change to use the centralized `ai` module is a good approach. This separates concerns between model definition and API routes, making the code more maintainable.

</details>
<details>
<summary>editor/app/(dev)/playground/image/page.tsx (1)</summary>

`1-12`: **LGTM: Clean page implementation with proper metadata.**

The implementation follows Next.js best practices with proper metadata configuration and a clean component structure. The separation of the page wrapper from the actual implementation in `_page.tsx` is a good approach for maintainability.

</details>
<details>
<summary>editor/app/(library)/library/o/[id]/page.tsx (5)</summary>

`49-51`: **Good improvement with text fallback mechanism.**

Creating a fallback mechanism that selects the first available descriptive string enhances the user experience by ensuring content is always displayed.

---

`52-52`: **Well-implemented conditional rendering check.**

This boolean flag prevents unnecessary rendering when colors are unavailable, which is good for performance optimization.

---

`55-55`: **Improved container styling.**

Enhanced container styling with `max-w-4xl mx-auto` and `text-center` improves layout consistency and content alignment.

---

`77-96`: **Clean conditional rendering of color swatches.**

The implementation correctly uses the `has_colors` check to conditionally render the color swatches section, preventing layout issues when no colors are available.

---

`128-130`: **Nice addition of generator metadata display.**

Adding the conditional display of the generator information enhances the metadata completeness, which is valuable for AI-generated images.

</details>
<details>
<summary>editor/app/(library)/library/page.tsx (4)</summary>

`7-8`: **Good type import for improved type safety.**

Adding the Library type import from "@/lib/library" strengthens type safety throughout the component.

---

`73-73`: **Improved responsive grid layout.**

The enhanced grid layout with responsive column counts (1 to 5 columns) based on screen size improves the user experience across different devices.

---

`82-82`: **Good component modularization.**

Replacing inline JSX with a dedicated ImageCard component improves code organization and maintainability.

---

`130-130`: **Consistent author attribution with @ symbol.**

Adding the "@" prefix to author names creates a consistent social-media-like attribution style, which is a nice UX touch.

</details>
<details>
<summary>editor/components/chat/chatbox.tsx (6)</summary>

`7-9`: **Updated imports for better organization.**

The import changes, particularly moving to type-only import for FileIO and updating the cn utility import path, improve code organization.

---

`25-27`: **Enhanced component flexibility with new props.**

Adding customizable `placeeholder` and `accept` props improves the component's reusability across different contexts.



Also applies to: 32-34

---

`43-44`: **Good conditional check for image accept types.**

The `acceptsImage` check elegantly determines whether to show the image upload button based on the accept prop.

---

`72-72`: **Improved focus management.**

Adding a ref to the textarea and focusing it when clicking anywhere in the container enhances the user experience.



Also applies to: 98-98

---

`123-125`: **Enhanced textarea styling and customization.**

The improved textarea styling with proper padding and text size, along with the customizable placeholder, creates a better user experience.

---

`137-146`: **Well-implemented conditional rendering for image upload.**

The image upload button is only shown when the accept prop includes "image/", which is a clean implementation of conditional UI elements.

</details>
<details>
<summary>editor/app/(dev)/playground/image/_components/image-frame.tsx (4)</summary>

`8-27`: **Well-structured component props.**

The component has clearly defined props with appropriate TypeScript types, making it easy to understand and use.

---

`28-32`: **Effective use of useStopwatch hook.**

The stopwatch configuration with autoStart and customizable interval is a good approach for tracking generation time.

---

`34-38`: **Good use of useEffect for timer control.**

Pausing the timer when the image is loaded is a nice touch that provides accurate timing information.

---

`47-65`: **Elegant loading and content states.**

The conditional rendering with skeleton, shine border effect, and timer during loading, followed by the image when available, creates a polished user experience.

</details>
<details>
<summary>editor/app/(api)/private/ai/generate/image/route.ts (1)</summary>

`42-49`: **Pass a user identifier to the rate-limiter**

`ai_credit_limit()` is invoked without any context.  If the helper expects a user-ID or IP address, the limiter may always return `null` or treat all users as the same bucket, defeating the purpose.

```diff
-  const rate = await ai_credit_limit();
+  const rate = await ai_credit_limit({
+    userId: userdata.user.id,
+    ip,
+  });
```
Please check the helper’s signature and ensure it receives enough information to differentiate callers.

</details>
<details>
<summary>editor/app/(dev)/playground/image/_page.tsx (1)</summary>

`78-84`: **Validate timestamp parsing**

`new Date(r.data.timestamp)` may yield `Invalid Date` if the backend returns `undefined` (see API comment).  Add a guard:

```diff
-      setEnd(new Date(r.data.timestamp));
+      setEnd(r.data.timestamp ? new Date(r.data.timestamp) : null);
```

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->
state: COMMENTED
author_association: NONE
submitted_at: 2025-04-29T12:44:00Z

Review comments:
diff_hunk: @@ -0,0 +1,46 @@
+import { createClient } from "@/lib/supabase/server";
+import { Ratelimit } from "@upstash/ratelimit";
+import { Redis } from "@upstash/redis";
+
+const ratelimit = new Ratelimit({
+  redis: Redis.fromEnv(),
+  limiter: Ratelimit.slidingWindow(20, "30d"),
+});
+
+export async function ai_credit_remaining({ user_id }: { user_id: string }) {
+  const { reset, remaining } = await ratelimit.getRemaining(
+    `ratelimit_u_${user_id}`
+  );
+
+  return {
+    reset,
+    remaining,
+  };
+}
+
+export async function ai_credit_limit() {
+  const client = await createClient();
+
+  const { data: userdata, error: auth_err } = await client.auth.getUser();
+  if (auth_err) throw new Error(auth_err.message);
+  const user_id = userdata.user.id;
+
+  // limit
+  const { success, limit, reset, remaining } = await ratelimit.limit(
+    `ratelimit_u_${user_id}`
+  );
+
+  const ratelimit_headers = {
+    "x-ratelimit-limit": limit.toString(),
+    "x-ratelimit-reset": reset.toString(),
+    "x-ratelimit-remaining": remaining.toString(),
+  };
+
+  return {
+    success: success,
+    limit,
+    reset,
+    remaining,
+    headers: ratelimit_headers,
+  };
+}
path: editor/app/(api)/private/ai/ratelimit.ts
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Credit limiting implementation could be improved.**

The `ai_credit_limit` function works correctly, but there are a few improvements that could be made:

1. Consider adding error handling for the rate limit operation
2. The function could be more reusable by accepting a user_id parameter like the `ai_credit_remaining` function

```diff
-export async function ai_credit_limit() {
+export async function ai_credit_limit(options?: { user_id?: string }) {
+  let user_id: string;
+  
+  if (options?.user_id) {
+    user_id = options.user_id;
+  } else {
     const client = await createClient();
  
     const { data: userdata, error: auth_err } = await client.auth.getUser();
     if (auth_err) throw new Error(auth_err.message);
-    const user_id = userdata.user.id;
+    user_id = userdata.user.id;
+  }

   // limit
-  const { success, limit, reset, remaining } = await ratelimit.limit(
-    `ratelimit_u_${user_id}`
-  );
+  try {
+    const { success, limit, reset, remaining } = await ratelimit.limit(
+      `ratelimit_u_${user_id}`
+    );
  
-  const ratelimit_headers = {
-    "x-ratelimit-limit": limit.toString(),
-    "x-ratelimit-reset": reset.toString(),
-    "x-ratelimit-remaining": remaining.toString(),
-  };
+    const ratelimit_headers = {
+      "x-ratelimit-limit": limit.toString(),
+      "x-ratelimit-reset": reset.toString(),
+      "x-ratelimit-remaining": remaining.toString(),
+    };
  
-  return {
-    success: success,
-    limit,
-    reset,
-    remaining,
-    headers: ratelimit_headers,
-  };
+    return {
+      success: success,
+      limit,
+      reset,
+      remaining,
+      headers: ratelimit_headers,
+    };
+  } catch (error) {
+    console.error("Error applying rate limit:", error);
+    throw new Error("Failed to apply rate limit");
+  }
 }
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
export async function ai_credit_limit(options?: { user_id?: string }) {
  let user_id: string;
  
  if (options?.user_id) {
    user_id = options.user_id;
  } else {
    const client = await createClient();

    const { data: userdata, error: auth_err } = await client.auth.getUser();
    if (auth_err) throw new Error(auth_err.message);
    user_id = userdata.user.id;
  }

  try {
    const { success, limit, reset, remaining } = await ratelimit.limit(
      `ratelimit_u_${user_id}`
    );

    const ratelimit_headers = {
      "x-ratelimit-limit": limit.toString(),
      "x-ratelimit-reset": reset.toString(),
      "x-ratelimit-remaining": remaining.toString(),
    };

    return {
      success: success,
      limit,
      reset,
      remaining,
      headers: ratelimit_headers,
    };
  } catch (error) {
    console.error("Error applying rate limit:", error);
    throw new Error("Failed to apply rate limit");
  }
}
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(api)/private/ai/ratelimit.ts around lines 21 to 46, improve the ai_credit_limit function by adding error handling for the ratelimit.limit call to catch and handle any potential errors gracefully. Also, refactor the function to accept a user_id parameter instead of fetching it internally, making the function more reusable and consistent with ai_credit_remaining. Adjust the function signature and remove the internal user retrieval logic accordingly.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:58Z
author_association: NONE
diff_hunk: @@ -0,0 +1,11 @@
+import OpenAI from "openai";
+import { NextResponse } from "next/server";
+
+const openai = new OpenAI({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+export async function GET() {
+  const result = await openai.models.list();
+  return NextResponse.json({ data: result.data });
+}
path: editor/app/(api)/private/ai/models/openai/route.ts
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Missing error handling for OpenAI API calls.**

The implementation fetches OpenAI models but lacks error handling for API failures, which could lead to unhandled exceptions being propagated to the client. This could result in poor user experience if the OpenAI service is temporarily unavailable.


Add try/catch block to gracefully handle potential API errors:

```diff
export async function GET() {
+  try {
    const result = await openai.models.list();
    return NextResponse.json({ data: result.data });
+  } catch (error) {
+    console.error("Error fetching OpenAI models:", error);
+    return NextResponse.json(
+      { error: "Failed to fetch OpenAI models" },
+      { status: 500 }
+    );
+  }
}
```


Consider implementing response caching to improve performance and reduce unnecessary API calls:

```diff
export async function GET() {
+  // Consider adding caching here with a reasonable TTL
+  // since model lists don't change frequently
  try {
    const result = await openai.models.list();
    return NextResponse.json({ data: result.data });
  } catch (error) {
    console.error("Error fetching OpenAI models:", error);
    return NextResponse.json(
      { error: "Failed to fetch OpenAI models" },
      { status: 500 }
    );
  }
}
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
import OpenAI from "openai";
import { NextResponse } from "next/server";

const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

export async function GET() {
  // Consider adding caching here with a reasonable TTL
  // since model lists don't change frequently
  try {
    const result = await openai.models.list();
    return NextResponse.json({ data: result.data });
  } catch (error) {
    console.error("Error fetching OpenAI models:", error);
    return NextResponse.json(
      { error: "Failed to fetch OpenAI models" },
      { status: 500 }
    );
  }
}
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(api)/private/ai/models/openai/route.ts lines 1 to 11, the OpenAI API call lacks error handling which can cause unhandled exceptions if the API fails. Wrap the call to openai.models.list() inside a try/catch block to catch any errors and return a proper error response using NextResponse with an appropriate status code and message. Additionally, consider adding response caching headers to the successful response to improve performance and reduce redundant API calls.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:58Z
author_association: NONE
diff_hunk: @@ -0,0 +1,21 @@
+import { createClient } from "@/lib/supabase/server";
+import { ai_credit_remaining } from "../ratelimit";
+import { NextResponse } from "next/server";
+
+export async function GET() {
+  const client = await createClient();
+  const u = await client.auth.getUser();
+  if (u.error) {
+    return new NextResponse("Unauthorized", { status: 401 });
+  }
+
+  const data = await ai_credit_remaining({ user_id: u.data.user.id });
+  return NextResponse.json(
+    {
+      data,
+    },
+    {
+      status: 200,
+    }
+  );
+}
path: editor/app/(api)/private/ai/credits/route.ts
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Add error handling for credit retrieval failures.**

While authentication errors are properly handled, there's no error handling for the `ai_credit_remaining` function call, which could fail due to Redis connection issues or other problems.


Add try/catch block to handle potential errors from the credit retrieval function:

```diff
export async function GET() {
  const client = await createClient();
  const u = await client.auth.getUser();
  if (u.error) {
    return new NextResponse("Unauthorized", { status: 401 });
  }

+  try {
    const data = await ai_credit_remaining({ user_id: u.data.user.id });
    return NextResponse.json(
      {
        data,
      },
      {
        status: 200,
      }
    );
+  } catch (error) {
+    console.error("Error retrieving AI credits:", error);
+    return NextResponse.json(
+      { error: "Failed to retrieve AI credits" },
+      { status: 500 }
+    );
+  }
}
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
export async function GET() {
  const client = await createClient();
  const u = await client.auth.getUser();
  if (u.error) {
    return new NextResponse("Unauthorized", { status: 401 });
  }

  try {
    const data = await ai_credit_remaining({ user_id: u.data.user.id });
    return NextResponse.json(
      {
        data,
      },
      {
        status: 200,
      }
    );
  } catch (error) {
    console.error("Error retrieving AI credits:", error);
    return NextResponse.json(
      { error: "Failed to retrieve AI credits" },
      { status: 500 }
    );
  }
}
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(api)/private/ai/credits/route.ts between lines 5 and 21, the GET function lacks error handling for the ai_credit_remaining call, which may fail due to Redis or other issues. Wrap the call to ai_credit_remaining in a try/catch block, and in the catch block return an appropriate error response (e.g., 500 status with an error message) to handle potential failures gracefully.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:58Z
author_association: NONE
diff_hunk: @@ -0,0 +1,68 @@
+import React, { useEffect } from "react";
+import { Skeleton } from "@/components/ui/skeleton";
+import { ShineBorder } from "@/www/ui/shine-border";
+import { useStopwatch } from "react-timer-hook";
+import { cn } from "@/utils";
+import Image from "next/image";
+
+export function GenerationImageFrame({
+  image,
+  className,
+  width,
+  height,
+  start,
+  end,
+}: {
+  image: {
+    src: string;
+    alt: string | null;
+    width: number;
+    height: number;
+  } | null;
+  start?: Date | null;
+  end?: Date | null;
+  width: number;
+  height: number;
+  className?: string;
+}) {
+  const { totalMilliseconds, pause } = useStopwatch({
+    autoStart: true,
+    offsetTimestamp: start ?? undefined,
+    interval: 100,
+  });
+
+  useEffect(() => {
+    if (image) {
+      pause();
+    }
+  }, [image]);
+
+  return (
+    <figure
+      className={cn(
+        "relative w-full h-auto min-h-64 aspect-square overflow-hidden rounded",
path: editor/app/(dev)/playground/image/_components/image-frame.tsx
user: login: coderabbitai[bot]
body: _💡 Verification agent_

<details>
<summary>❓ Verification inconclusive</summary>

**Verify Tailwind class compatibility.**

The `min-h-64` class might not be a standard Tailwind class unless you've extended your Tailwind configuration.

---

🏁 Script executed:

```shell
#!/bin/bash
# Check if min-h-64 is defined in Tailwind config
grep -r "min-h-" --include="tailwind.config.*" .
```

Length of output: 48

---

🏁 Script executed:

```shell
#!/bin/bash
# Search for any custom minHeight definitions in Tailwind config
grep -Rn "minHeight" --include="tailwind.config.*" .

# Search for theme.extend blocks to see if min-h-64 is added under minHeight
grep -Rn "extend" --include="tailwind.config.*" . | grep -A5 "minHeight"
```

Length of output: 123

---



</details>

**Invalid Tailwind Utility: `min-h-64`**  
The `min-h-64` class isn’t included in Tailwind’s default min-height scale (which only provides `0`, `full`, `screen`, `min`, and `max`). Since no custom `minHeight` extension was found in your Tailwind config, this utility will have no effect.  

Please choose one of the following:  
- Extend your Tailwind config under `theme.extend.minHeight` to include a `64: '16rem'` entry.  
- Replace `min-h-64` with a valid default utility (e.g., `min-h-full`, `min-h-screen`) or an arbitrary value syntax: `min-h-[16rem]`.  

Locations to update:  
- editor/app/(dev)/playground/image/_components/image-frame.tsx: line 43

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(dev)/playground/image/_components/image-frame.tsx at line 43, the Tailwind class 'min-h-64' is invalid as it is not part of the default Tailwind min-height utilities and no custom extension exists. Fix this by either extending the Tailwind config under theme.extend.minHeight to add '64: "16rem"' or replace 'min-h-64' with a valid default class like 'min-h-full' or use the arbitrary value syntax 'min-h-[16rem]' directly in the class list.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:58Z
author_association: NONE
diff_hunk: @@ -83,18 +92,35 @@ export async function POST(req: NextRequest) {
     data: {
       object,
       publicUrl,
+      modelId: meta.modelId,
+      timestamp: meta.timestamp.toISOString(),
     },
-  });
+  } satisfies GenerateImageApiResponse);
 }
 
-function getImageModel(model: ai.image.ProviderModel) {
+function getImageModel(
+  model: ai.image.ProviderModel | ai.image.ImageModelId
+): ImageModel | null {
+  if (typeof model === "string") {
+    const card = ai.image.models[model];
+    if (!card) return null;
+    switch (card.provider) {
+      case "openai":
+        return openai.image(card.id);
+      case "replicate":
+        return replicate.image(card.id);
+      default:
+        return null;
+    }
+  }
path: editor/app/(api)/private/ai/generate/image/route.ts
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Guard against unknown providers**

The default branch silently returns `null`, which then throws a generic “Model not found” error.  Adding the provider name to the message helps debugging:

```diff
-      default:
-        return null;
+      default:
+        throw new Error(`Unsupported image provider: ${card.provider}`);
```



<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
function getImageModel(
  model: ai.image.ProviderModel | ai.image.ImageModelId
): ImageModel | null {
  if (typeof model === "string") {
    const card = ai.image.models[model];
    if (!card) return null;
    switch (card.provider) {
      case "openai":
        return openai.image(card.id);
      case "replicate":
        return replicate.image(card.id);
      default:
        throw new Error(`Unsupported image provider: ${card.provider}`);
    }
  }
  // ...rest of function...
}
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(api)/private/ai/generate/image/route.ts around lines 101 to 115, the default case in the switch statement silently returns null for unknown providers, causing a generic error later. Modify the default case to throw an error that includes the unknown provider name to improve debugging clarity.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:58Z
author_association: NONE
diff_hunk: @@ -27,50 +39,47 @@ export async function POST(req: NextRequest) {
     return NextResponse.json({ message: "login required" }, { status: 401 });
   }
 
-  // rate limit
-  const ratelimit = new Ratelimit({
-    redis: Redis.fromEnv(),
-    limiter: Ratelimit.slidingWindow(10, "1h"),
-  });
-
-  const { success, limit, reset, remaining } = await ratelimit.limit(
-    `ratelimit_u_${userdata.user.id}`
-  );
-
-  const ratelimit_headers = {
-    "x-ratelimit-limit": limit.toString(),
-    "x-ratelimit-reset": reset.toString(),
-    "x-ratelimit-remaining": remaining.toString(),
-  };
+  const rate = await ai_credit_limit();
+  if (!rate) {
+    return NextResponse.json(
+      { message: "something went wrong" },
+      { status: 500 }
+    );
+  }
 
-  if (!success) {
+  if (!rate.success) {
     return NextResponse.json(
       {
         message: "ratelimit exceeded",
-        limit,
-        reset,
-        remaining,
+        limit: rate.limit,
+        reset: rate.reset,
+        remaining: rate.remaining,
       },
       {
         status: 429,
-        headers: { ...ratelimit_headers },
+        headers: { ...rate.headers },
       }
     );
   }
 
+  const model = getImageModel(body.model);
+  if (!model) throw new Error("Model not found");
+
   // generate image
   const generation = await generateImage({
     prompt: body.prompt,
     width: body.width,
     height: body.height,
-    model: body.model,
+    model: model,
   });
 
+  const meta = generation.responses[0];
+
path: editor/app/(api)/private/ai/generate/image/route.ts
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Potential mismatch between SDK response and accessed fields**

1. `experimental_generateImage` usually returns `{ image, createdAt, modelId }` (or an `images` array) — the property `responses` is not documented.
2. `meta.timestamp` and `meta.modelId` might therefore be `undefined`, breaking the client code that parses them into `Date` objects.

Please confirm the shape of the SDK response and adjust:

```diff
-  const meta = generation.responses[0];
+  const meta = {
+    modelId: generation.modelId ?? model.modelId ?? model.id,
+    timestamp: generation.createdAt ?? new Date(),
+  };
```



<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
  const model = getImageModel(body.model);
  if (!model) throw new Error("Model not found");

  // generate image
  const generation = await generateImage({
    prompt: body.prompt,
    width: body.width,
    height: body.height,
    model: model,
  });

  const meta = {
    modelId: generation.modelId ?? model.modelId ?? model.id,
    timestamp: generation.createdAt ?? new Date(),
  };
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(api)/private/ai/generate/image/route.ts around lines 65 to 77, the code accesses generation.responses[0], but the SDK's experimental_generateImage method returns an object with properties like image, createdAt, and modelId or an images array, not a responses array. Verify the actual response structure from the SDK, then update the code to access the correct fields such as createdAt and modelId directly from the response object or from the first element of the images array, ensuring these values are defined before parsing them into Date objects.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:58Z
author_association: NONE
diff_hunk: @@ -0,0 +1,307 @@
+"use client";
+
+import { ChatBox } from "@/components/chat";
+
+import { useCallback, useEffect, useState, useMemo } from "react";
+import { CommandIcon } from "lucide-react";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+  SelectGroup,
+  SelectLabel,
+} from "@/components/ui/select";
+import { GridaLogo } from "@/components/grida-logo";
+import ai from "@/lib/ai";
+import Link from "next/link";
+import { GenerationImageFrame } from "./_components/image-frame";
+import { SlashIcon } from "@radix-ui/react-icons";
+import type {
+  GenerateImageApiRequestBody,
+  GenerateImageApiResponse,
+} from "@/app/(api)/private/ai/generate/image/route";
+
+type GeneratedImage = {
+  src: string;
+  width: number;
+  height: number;
+  alt: string | null;
+};
+
+function useGenerateImage() {
+  const [key, setKey] = useState(0);
+  const [start, setStart] = useState<Date | null>(null);
+  const [end, setEnd] = useState<Date | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [image, setImage] = useState<GeneratedImage | null>(null);
+  const generate = useCallback(
+    async ({
+      model,
+      prompt,
+      width,
+      height,
+    }: {
+      model: ai.image.ProviderModel | ai.image.ImageModelId;
+      prompt: string;
+      width: number;
+      height: number;
+    }) => {
+      setImage(null);
+      setKey((k) => k + 1);
+      setStart(new Date());
+      setEnd(null);
+      setLoading(true);
+      const r: GenerateImageApiResponse = await fetch(
+        `/private/ai/generate/image`,
+        {
+          body: JSON.stringify({
+            model: model,
+            width: width,
+            height: height,
+            prompt,
+          } satisfies GenerateImageApiRequestBody),
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+        }
+      ).then((res) => res.json());
+      setLoading(false);
+      setEnd(new Date(r.data.timestamp));
+      setImage({
+        src: r.data.publicUrl,
+        width: width,
+        height: height,
+        alt: prompt,
+      });
+    },
+    []
+  );
+
+  return {
+    key,
+    loading,
+    image,
+    start,
+    end,
+    generate,
+  };
+}
+
+function useCredits() {
+  const [remaining, setRemaining] = useState(0);
+  const [reset, setReset] = useState(0);
+
+  const refresh = useCallback(async () => {
+    const r = await fetch(`/private/ai/credits`, {
+      method: "GET",
+    }).then((res) => res.json());
+    setRemaining(r.data.remaining);
+    setReset(r.data.reset);
+  }, []);
+
+  useEffect(() => {
+    refresh();
+  }, [refresh]);
+
+  return {
+    remaining,
+    reset,
+    refresh,
+  };
+}
+
+function useImageModelConfig(defaultModel: ai.image.ImageModelId) {
+  const [modelId, setModelId] = useState<ai.image.ImageModelId>(defaultModel);
+  const [config, setConfig] = useState<{
+    width: number;
+    height: number;
+  }>({
+    width: 1024,
+    height: 1024,
+  });
+
+  const [card, setCard] = useState<ai.image.ImageModelCard | undefined>(
+    ai.image.models[defaultModel]
+  );
+
+  const select = useCallback((modelId: ai.image.ImageModelId) => {
+    setCard(ai.image.models[modelId]);
+    setModelId(modelId);
+    // setConfig();
+  }, []);
+
+  const setSize = ({ width, height }: { width: number; height: number }) => {
+    setConfig((c: any) => ({
+      ...(c || {}),
+      width: width,
+      height: height,
+    }));
+  };
+
+  const setSizeFromValue = (value: ai.image.SizeString) => {
+    const [widthStr, heightStr] = value.split("x");
+    const width = parseInt(widthStr);
+    const height = parseInt(heightStr);
+    setSize({ width, height });
+  };
+
+  return {
+    modelId,
+    card,
+    ...config,
+    models: Object.values(ai.image.models) as ai.image.ImageModelCard[],
+    select,
+    setSize,
+    setSizeFromValue,
+  };
+}
+
+export default function ImagePlayground() {
+  const credits = useCredits();
+  const [prompt, setPrompt] = useState("");
+  const model = useImageModelConfig("gpt-image-1");
+  const { generate, key, loading, image, start, end } = useGenerateImage();
+
+  const sizeGroups = useMemo(() => {
+    const groups = {
+      square: [] as ai.image.SizeWithAspectRatio[],
+      horizontal: [] as ai.image.SizeWithAspectRatio[],
+      vertical: [] as ai.image.SizeWithAspectRatio[],
+    };
+    (model.card?.sizes ?? []).forEach((s) => {
+      const [w, h, r] = s;
+      const key = w === h ? "square" : w > h ? "horizontal" : "vertical";
+      groups[key].push(s);
+    });
+    return groups;
+  }, [model.card]);
+
+  const onCommit = (value: { text: string }) => {
+    setPrompt(value.text);
+    generate({
+      model: model.modelId,
+      width: model.width,
+      height: model.height,
+      prompt: value.text,
+    }).finally(() => {
+      credits.refresh();
+    });
+  };
+
+  return (
+    <div className="relative w-full min-h-screen h-screen overflow-hidden">
+      <header className="absolute left-4 top-4 flex items-center gap-1">
+        <Link href="/home">
+          <GridaLogo />
+        </Link>
+        <SlashIcon className="size-5" />
+        <span className="text-sm font-bold">Image Playground</span>
+      </header>
+      <main className="w-full h-full flex flex-col container max-w-xl mx-auto p-4">
+        <div className="flex-1 flex flex-col items-center justify-center">
+          {(loading || image) && (
+            <GenerationImageFrame
+              key={key}
+              start={start}
+              end={end}
+              width={model.width}
+              height={model.height}
+              image={image}
+              className="w-full overflow-scroll shadow-lg"
+            />
+          )}
+        </div>
+        <div className="mt-4 flex flex-col gap-2">
+          <div className="flex items-center gap-2 rounded-lg p-1 border">
+            <Select
+              value={`${model.width}x${model.height}`}
+              onValueChange={model.setSizeFromValue}
+            >
+              <SelectTrigger className="w-min border-none">
+                <SelectValue placeholder="Select size" />
+              </SelectTrigger>
+              <SelectContent>
+                {sizeGroups.square.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Square</SelectLabel>
+                    {sizeGroups.square.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+                {sizeGroups.horizontal.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Horizontal</SelectLabel>
+                    {sizeGroups.horizontal.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+                {sizeGroups.vertical.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Vertical</SelectLabel>
+                    {sizeGroups.vertical.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+              </SelectContent>
+            </Select>
+            <Select
+              value={model.modelId}
+              onValueChange={(v) => model.select(v as ai.image.ImageModelId)}
+            >
+              <SelectTrigger className="w-min border-none">
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                {model.models.map((m) => (
+                  <SelectItem key={m.id} value={m.id}>
+                    {m.label}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+          </div>
+          <ChatBox
+            disabled={loading}
+            onValueCommit={onCommit}
+            placeeholder="Describe what you want to see..."
+          />
+        </div>
path: editor/app/(dev)/playground/image/_page.tsx
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Typo in prop name disables the placeholder**

`placeeholder` → `placeholder`

```diff
-  placeeholder="Describe what you want to see..."
+  placeholder="Describe what you want to see..."
```

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(dev)/playground/image/_page.tsx around lines 281 to 286, the ChatBox component has a typo in the prop name "placeeholder" which should be corrected to "placeholder" to properly display the placeholder text. Fix this by renaming the prop from "placeeholder" to "placeholder".
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->

✅ Addressed in commit 6c7fb34
created_at: 2025-04-29T12:43:59Z
author_association: NONE
diff_hunk: @@ -0,0 +1,307 @@
+"use client";
+
+import { ChatBox } from "@/components/chat";
+
+import { useCallback, useEffect, useState, useMemo } from "react";
+import { CommandIcon } from "lucide-react";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+  SelectGroup,
+  SelectLabel,
+} from "@/components/ui/select";
+import { GridaLogo } from "@/components/grida-logo";
+import ai from "@/lib/ai";
+import Link from "next/link";
+import { GenerationImageFrame } from "./_components/image-frame";
+import { SlashIcon } from "@radix-ui/react-icons";
+import type {
+  GenerateImageApiRequestBody,
+  GenerateImageApiResponse,
+} from "@/app/(api)/private/ai/generate/image/route";
+
+type GeneratedImage = {
+  src: string;
+  width: number;
+  height: number;
+  alt: string | null;
+};
+
+function useGenerateImage() {
+  const [key, setKey] = useState(0);
+  const [start, setStart] = useState<Date | null>(null);
+  const [end, setEnd] = useState<Date | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [image, setImage] = useState<GeneratedImage | null>(null);
+  const generate = useCallback(
+    async ({
+      model,
+      prompt,
+      width,
+      height,
+    }: {
+      model: ai.image.ProviderModel | ai.image.ImageModelId;
+      prompt: string;
+      width: number;
+      height: number;
+    }) => {
+      setImage(null);
+      setKey((k) => k + 1);
+      setStart(new Date());
+      setEnd(null);
+      setLoading(true);
+      const r: GenerateImageApiResponse = await fetch(
+        `/private/ai/generate/image`,
+        {
+          body: JSON.stringify({
+            model: model,
+            width: width,
+            height: height,
+            prompt,
+          } satisfies GenerateImageApiRequestBody),
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+        }
+      ).then((res) => res.json());
+      setLoading(false);
+      setEnd(new Date(r.data.timestamp));
+      setImage({
+        src: r.data.publicUrl,
+        width: width,
+        height: height,
+        alt: prompt,
+      });
+    },
+    []
+  );
+
+  return {
+    key,
+    loading,
+    image,
+    start,
+    end,
+    generate,
+  };
+}
+
+function useCredits() {
+  const [remaining, setRemaining] = useState(0);
+  const [reset, setReset] = useState(0);
+
+  const refresh = useCallback(async () => {
+    const r = await fetch(`/private/ai/credits`, {
+      method: "GET",
+    }).then((res) => res.json());
+    setRemaining(r.data.remaining);
+    setReset(r.data.reset);
+  }, []);
+
path: editor/app/(dev)/playground/image/_page.tsx
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Gracefully degrade when credit lookup fails**

`useCredits` assumes the `/credits` endpoint always responds `200`.  If it fails, `remaining` stays `0` and the UI hides the reason.

Add basic error handling:

```diff
-    const r = await fetch(…).then((res) => res.json());
+    try {
+      const res = await fetch(…);
+      if (!res.ok) return;
+      const r = await res.json();
+      …
+    } catch { /* optionally notify */ }
```



> Committable suggestion skipped: line range outside the PR's diff.

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(dev)/playground/image/_page.tsx around lines 100 to 110, the fetch call to `/private/ai/credits` assumes a successful 200 response and does not handle errors, causing the UI to incorrectly show zero credits without explanation. Modify the refresh function to include a try-catch block around the fetch call, and in the catch block, set an error state or provide fallback values to indicate the failure gracefully. This will ensure the UI can display an appropriate message or state when the credit lookup fails.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:59Z
author_association: NONE
diff_hunk: @@ -0,0 +1,307 @@
+"use client";
+
+import { ChatBox } from "@/components/chat";
+
+import { useCallback, useEffect, useState, useMemo } from "react";
+import { CommandIcon } from "lucide-react";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+  SelectGroup,
+  SelectLabel,
+} from "@/components/ui/select";
+import { GridaLogo } from "@/components/grida-logo";
+import ai from "@/lib/ai";
+import Link from "next/link";
+import { GenerationImageFrame } from "./_components/image-frame";
+import { SlashIcon } from "@radix-ui/react-icons";
+import type {
+  GenerateImageApiRequestBody,
+  GenerateImageApiResponse,
+} from "@/app/(api)/private/ai/generate/image/route";
+
+type GeneratedImage = {
+  src: string;
+  width: number;
+  height: number;
+  alt: string | null;
+};
+
+function useGenerateImage() {
+  const [key, setKey] = useState(0);
+  const [start, setStart] = useState<Date | null>(null);
+  const [end, setEnd] = useState<Date | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [image, setImage] = useState<GeneratedImage | null>(null);
+  const generate = useCallback(
+    async ({
+      model,
+      prompt,
+      width,
+      height,
+    }: {
+      model: ai.image.ProviderModel | ai.image.ImageModelId;
+      prompt: string;
+      width: number;
+      height: number;
+    }) => {
+      setImage(null);
+      setKey((k) => k + 1);
+      setStart(new Date());
+      setEnd(null);
+      setLoading(true);
+      const r: GenerateImageApiResponse = await fetch(
+        `/private/ai/generate/image`,
+        {
+          body: JSON.stringify({
+            model: model,
+            width: width,
+            height: height,
+            prompt,
+          } satisfies GenerateImageApiRequestBody),
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json",
+          },
+        }
+      ).then((res) => res.json());
+      setLoading(false);
+      setEnd(new Date(r.data.timestamp));
+      setImage({
+        src: r.data.publicUrl,
+        width: width,
+        height: height,
+        alt: prompt,
+      });
+    },
+    []
+  );
+
+  return {
+    key,
+    loading,
+    image,
+    start,
+    end,
+    generate,
+  };
+}
+
+function useCredits() {
+  const [remaining, setRemaining] = useState(0);
+  const [reset, setReset] = useState(0);
+
+  const refresh = useCallback(async () => {
+    const r = await fetch(`/private/ai/credits`, {
+      method: "GET",
+    }).then((res) => res.json());
+    setRemaining(r.data.remaining);
+    setReset(r.data.reset);
+  }, []);
+
+  useEffect(() => {
+    refresh();
+  }, [refresh]);
+
+  return {
+    remaining,
+    reset,
+    refresh,
+  };
+}
+
+function useImageModelConfig(defaultModel: ai.image.ImageModelId) {
+  const [modelId, setModelId] = useState<ai.image.ImageModelId>(defaultModel);
+  const [config, setConfig] = useState<{
+    width: number;
+    height: number;
+  }>({
+    width: 1024,
+    height: 1024,
+  });
+
+  const [card, setCard] = useState<ai.image.ImageModelCard | undefined>(
+    ai.image.models[defaultModel]
+  );
+
+  const select = useCallback((modelId: ai.image.ImageModelId) => {
+    setCard(ai.image.models[modelId]);
+    setModelId(modelId);
+    // setConfig();
+  }, []);
+
+  const setSize = ({ width, height }: { width: number; height: number }) => {
+    setConfig((c: any) => ({
+      ...(c || {}),
+      width: width,
+      height: height,
+    }));
+  };
+
+  const setSizeFromValue = (value: ai.image.SizeString) => {
+    const [widthStr, heightStr] = value.split("x");
+    const width = parseInt(widthStr);
+    const height = parseInt(heightStr);
+    setSize({ width, height });
+  };
+
+  return {
+    modelId,
+    card,
+    ...config,
+    models: Object.values(ai.image.models) as ai.image.ImageModelCard[],
+    select,
+    setSize,
+    setSizeFromValue,
+  };
+}
+
+export default function ImagePlayground() {
+  const credits = useCredits();
+  const [prompt, setPrompt] = useState("");
+  const model = useImageModelConfig("gpt-image-1");
+  const { generate, key, loading, image, start, end } = useGenerateImage();
+
+  const sizeGroups = useMemo(() => {
+    const groups = {
+      square: [] as ai.image.SizeWithAspectRatio[],
+      horizontal: [] as ai.image.SizeWithAspectRatio[],
+      vertical: [] as ai.image.SizeWithAspectRatio[],
+    };
+    (model.card?.sizes ?? []).forEach((s) => {
+      const [w, h, r] = s;
+      const key = w === h ? "square" : w > h ? "horizontal" : "vertical";
+      groups[key].push(s);
+    });
+    return groups;
+  }, [model.card]);
+
+  const onCommit = (value: { text: string }) => {
+    setPrompt(value.text);
+    generate({
+      model: model.modelId,
+      width: model.width,
+      height: model.height,
+      prompt: value.text,
+    }).finally(() => {
+      credits.refresh();
+    });
+  };
+
+  return (
+    <div className="relative w-full min-h-screen h-screen overflow-hidden">
+      <header className="absolute left-4 top-4 flex items-center gap-1">
+        <Link href="/home">
+          <GridaLogo />
+        </Link>
+        <SlashIcon className="size-5" />
+        <span className="text-sm font-bold">Image Playground</span>
+      </header>
+      <main className="w-full h-full flex flex-col container max-w-xl mx-auto p-4">
+        <div className="flex-1 flex flex-col items-center justify-center">
+          {(loading || image) && (
+            <GenerationImageFrame
+              key={key}
+              start={start}
+              end={end}
+              width={model.width}
+              height={model.height}
+              image={image}
+              className="w-full overflow-scroll shadow-lg"
+            />
+          )}
+        </div>
+        <div className="mt-4 flex flex-col gap-2">
+          <div className="flex items-center gap-2 rounded-lg p-1 border">
+            <Select
+              value={`${model.width}x${model.height}`}
+              onValueChange={model.setSizeFromValue}
+            >
+              <SelectTrigger className="w-min border-none">
+                <SelectValue placeholder="Select size" />
+              </SelectTrigger>
+              <SelectContent>
+                {sizeGroups.square.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Square</SelectLabel>
+                    {sizeGroups.square.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+                {sizeGroups.horizontal.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Horizontal</SelectLabel>
+                    {sizeGroups.horizontal.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+                {sizeGroups.vertical.length > 0 && (
+                  <SelectGroup>
+                    <SelectLabel>Vertical</SelectLabel>
+                    {sizeGroups.vertical.map(([w, h, r]) => (
+                      <SelectItem key={r} value={`${w}x${h}`}>
+                        {r}
+                      </SelectItem>
+                    ))}
+                  </SelectGroup>
+                )}
+              </SelectContent>
+            </Select>
+            <Select
+              value={model.modelId}
+              onValueChange={(v) => model.select(v as ai.image.ImageModelId)}
+            >
+              <SelectTrigger className="w-min border-none">
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                {model.models.map((m) => (
+                  <SelectItem key={m.id} value={m.id}>
+                    {m.label}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+          </div>
+          <ChatBox
+            disabled={loading}
+            onValueCommit={onCommit}
+            placeeholder="Describe what you want to see..."
+          />
+        </div>
+      </main>
+      <div className="absolute top-4 right-4">
+        <Tooltip>
+          <TooltipTrigger>
+            <div className="px-2 py-1 bg-muted rounded-md border flex gap-1 items-center">
+              <CommandIcon className="size-3" />
+              <span className="text-sm font-mono">
+                {credits.remaining?.toString()}
+              </span>
+            </div>
+          </TooltipTrigger>
path: editor/app/(dev)/playground/image/_page.tsx
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Disable generation when out of credits**

Users can still press ⏎ with zero credits and receive a 429.  Disable the `ChatBox` accordingly:

```diff
-    disabled={loading}
+    disabled={loading || credits.remaining === 0}
```



> Committable suggestion skipped: line range outside the PR's diff.

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(dev)/playground/image/_page.tsx around lines 291 to 297, the ChatBox component should be disabled when the user has zero credits to prevent triggering a 429 error. Add a condition to disable the ChatBox input or submission functionality when credits.remaining is zero or undefined, ensuring users cannot generate content without available credits.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:59Z
author_association: NONE
diff_hunk: @@ -0,0 +1,307 @@
+"use client";
+
+import { ChatBox } from "@/components/chat";
+
+import { useCallback, useEffect, useState, useMemo } from "react";
+import { CommandIcon } from "lucide-react";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/ui/tooltip";
+
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+  SelectGroup,
+  SelectLabel,
+} from "@/components/ui/select";
+import { GridaLogo } from "@/components/grida-logo";
+import ai from "@/lib/ai";
+import Link from "next/link";
+import { GenerationImageFrame } from "./_components/image-frame";
+import { SlashIcon } from "@radix-ui/react-icons";
+import type {
+  GenerateImageApiRequestBody,
+  GenerateImageApiResponse,
+} from "@/app/(api)/private/ai/generate/image/route";
+
+type GeneratedImage = {
+  src: string;
+  width: number;
+  height: number;
+  alt: string | null;
+};
+
+function useGenerateImage() {
+  const [key, setKey] = useState(0);
+  const [start, setStart] = useState<Date | null>(null);
+  const [end, setEnd] = useState<Date | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [image, setImage] = useState<GeneratedImage | null>(null);
+  const generate = useCallback(
+    async ({
+      model,
+      prompt,
+      width,
+      height,
+    }: {
+      model: ai.image.ProviderModel | ai.image.ImageModelId;
+      prompt: string;
+      width: number;
+      height: number;
+    }) => {
+      setImage(null);
+      setKey((k) => k + 1);
+      setStart(new Date());
+      setEnd(null);
+      setLoading(true);
+      const r: GenerateImageApiResponse = await fetch(
+        `/private/ai/generate/image`,
path: editor/app/(dev)/playground/image/_page.tsx
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Handle fetch failures to avoid unhandled rejections**

The current implementation never catches network or 4xx/5xx errors.  A failed request leaves the hook stuck in the loading state and throws in the console.

```diff
-      const r: GenerateImageApiResponse = await fetch(…)
-        .then((res) => res.json());
+      try {
+        const res = await fetch(…);
+        if (!res.ok) throw new Error(await res.text());
+        const r: GenerateImageApiResponse = await res.json();
+        …
+      } catch (err) {
+        console.error("Image generation failed:", err);
+        setLoading(false);
+        return;
+      }
```



<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
  const generate = useCallback(
    async ({
      model,
      prompt,
      width,
      height,
    }: {
      model: ai.image.ProviderModel | ai.image.ImageModelId;
      prompt: string;
      width: number;
      height: number;
    }) => {
      setImage(null);
      setKey((k) => k + 1);
      setStart(new Date());
      setEnd(null);
      setLoading(true);
-      const r: GenerateImageApiResponse = await fetch(
-        `/private/ai/generate/image`,
-        /* original fetch options */
-      ).then((res) => res.json());
+      try {
+        const res = await fetch(
+          `/private/ai/generate/image`,
+          /* original fetch options */
+        );
+        if (!res.ok) {
+          throw new Error(await res.text());
+        }
+        const r: GenerateImageApiResponse = await res.json();
+        // … existing success-handling logic (e.g., setImage, setEnd, setLoading(false))
+      } catch (err) {
+        console.error("Image generation failed:", err);
+        setLoading(false);
+        return;
+      }
    },
    [/* dependencies */]
  );
`````

</details>

<!-- suggestion_end -->

<details>
<summary>🤖 Prompt for AI Agents (early access)</summary>

```
In editor/app/(dev)/playground/image/_page.tsx around lines 45 to 63, the async fetch call lacks error handling, causing unhandled promise rejections and the loading state to remain true on failure. Wrap the fetch and subsequent logic in a try-catch block, set loading to false in both success and failure cases, and handle errors gracefully by updating state or logging the error to prevent the hook from getting stuck.
```

</details>

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-29T12:43:59Z
author_association: NONE

PR comments:
user: login: codesandbox[bot]
created_at: 2025-04-29T12:38:46Z
body: #### Review or Edit in CodeSandbox

Open the branch in <a href="https://codesandbox.io/p/github/gridaco/grida/ai?mode=review&utm_source=gh_app">Web Editor</a> &bull; <a href="https://codesandbox.io/p/vscode?owner=gridaco&repo=grida&branch=ai&utm_source=gh_app">VS Code</a> &bull; <a href="https://codesandbox.io/p/vscode?owner=gridaco&repo=grida&branch=ai&insiders=true&utm_source=gh_app">Insiders</a><br>
Open <a href="https://codesandbox.io/p/devtool/preview/gridaco/grida/ai?task=preview&port=51423&redirect=true&utm_source=gh_app">Preview</a>

<!-- open-in-codesandbox:complete -->

author_association: NONE
user: login: vercel[bot]
created_at: 2025-04-29T12:38:48Z
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| Name | Status | Preview | Comments | Updated (UTC) |
| :--- | :----- | :------ | :------- | :------ |
| **grida** | ✅ Ready ([Inspect](https://vercel.com/grida/grida/DJLc4qaQkpLzxEKC4keawS1c1HLT)) | [Visit Preview](https://grida-git-ai-grida.vercel.app) | 💬 [**Add feedback**](https://vercel.live/open-feedback/grida-git-ai-grida.vercel.app?via=pr-comment-feedback-link) | Apr 29, 2025 0:52am |

<details><summary>8 Skipped Deployments</summary>

| Name | Status | Preview | Comments | Updated (UTC) |
| :--- | :----- | :------ | :------- | :------ |
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| **legacy** | ⬜️ Ignored ([Inspect](https://vercel.com/grida/legacy/9zungE9FPYDEvFEhqaUFgKnUMQds)) |  |  | Apr 29, 2025 0:52am |
| **backgrounds** | ⬜️ Skipped ([Inspect](https://vercel.com/grida/backgrounds/9RJdqV1UfZb3EPXjCD1nRBduL8V1)) |  |  | Apr 29, 2025 0:52am |
| **blog** | ⬜️ Skipped ([Inspect](https://vercel.com/grida/blog/LuBRt9qHY9xeJgx2ECBAPrpEJ3nt)) |  |  | Apr 29, 2025 0:52am |
| **docs** | ⬜️ Skipped ([Inspect](https://vercel.com/grida/docs/C5SgYjjoXt8cHk7pK989REPKKRDi)) |  |  | Apr 29, 2025 0:52am |
| **legacy-www** | ⬜️ Skipped ([Inspect](https://vercel.com/grida/legacy-www/F8aJWAD16Tgji269rTWk7oDECMat)) |  |  | Apr 29, 2025 0:52am |
| **sites** | ⬜️ Skipped ([Inspect](https://vercel.com/grida/sites/7M2vaKBHPaiT6oHQJ9bNPXvwFkfw)) |  |  | Apr 29, 2025 0:52am |
| **viewer** | ⬜️ Skipped ([Inspect](https://vercel.com/grida/viewer/9MSmvbdLPLAXfWNGFnHqTuoozvXC)) |  |  | Apr 29, 2025 0:52am |
</details>










author_association: NONE
user: login: coderabbitai[bot]
created_at: 2025-04-29T12:38:50Z
body: <!-- This is an auto-generated comment: summarize by coderabbit.ai -->
<!-- walkthrough_start -->

## Walkthrough

This update introduces a comprehensive AI image generation playground with enhanced model selection, size configuration, and credit tracking. Several new API endpoints are added for managing AI credits, listing available models, and enforcing rate limits with Upstash Redis. The AI image generation endpoint is refactored to support flexible model input and to integrate the new credit-based rate limiting. The UI now features a modular image playground, improved chat box with customizable file input, and refined resource card components. The AI library is enriched with detailed model metadata and library object types. Tooltips and responsive layouts are introduced for better user experience.

## Changes

| File(s)                                                                                   | Change Summary |
|-------------------------------------------------------------------------------------------|---------------|
| editor/app/(api)/private/ai/credits/route.ts<br>editor/app/(api)/private/ai/ratelimit.ts  | Added new API endpoints for fetching remaining AI credits and enforcing credit-based rate limiting using Upstash Redis. |
| editor/app/(api)/private/ai/generate/image/route.ts                                       | Refactored image generation endpoint to support flexible model input, switched to new credit-based rate limiting, improved response typing, and included generation metadata. |
| editor/app/(api)/private/ai/models/openai/route.ts<br>editor/app/(api)/private/ai/models/route.ts | Added new endpoint for listing OpenAI models; refactored model listing to use a local AI registry instead of direct OpenAI API calls. |
| editor/app/(dev)/canvas/tools/ai/_hooks/use-models.ts                                     | Updated the model fetch endpoint in the hook to use the new OpenAI models API route. |
| editor/app/(dev)/canvas/tools/ai/image/page.tsx                                           | Deleted the previous image playground page component. |
| editor/app/(dev)/canvas/tools/ai/page.tsx                                                 | Updated ChatBox import path and added image file accept prop. |
| editor/app/(dev)/layout.tsx                                                               | Wrapped children in a TooltipProvider for global tooltip context. |
| editor/app/(dev)/playground/image/_components/image-frame.tsx                             | Added a new GenerationImageFrame component for displaying generated images with loading and timing features. |
| editor/app/(dev)/playground/image/_page.tsx                                               | Added a new, comprehensive image playground component with hooks for generation, credits, and model configuration. |
| editor/app/(dev)/playground/image/page.tsx                                                | Added a wrapper page component for the new image playground, including page metadata. |
| editor/app/(library)/library/o/[id]/page.tsx                                              | Improved descriptive text selection, conditional color rendering, and added generator display in the library object page. |
| editor/app/(library)/library/page.tsx                                                     | Refactored resource card rendering into a new ImageCard component and improved grid responsiveness and card details. |
| editor/components/chat/chatbox.tsx                                                        | Enhanced ChatBox with customizable file input accept type, placeholder, and improved focus/styling. |
| editor/components/chat/index.ts                                                           | Re-exported chatbox module for easier imports. |
| editor/lib/ai/ai.ts                                                                       | Added detailed AI model metadata registry, new types for providers, vendors, and image models, and credit value constant. |
| editor/lib/library/index.ts                                                               | Introduced Library namespace with detailed Object and Author types. |
| editor/package.json                                                                       | Updated "react-timer-hook" dependency version. |

## Sequence Diagram(s)

```mermaid
sequenceDiagram
    participant User
    participant PlaygroundUI
    participant API
    participant RateLimiter
    participant AIModel

    User->>PlaygroundUI: Enter prompt, select model/size, click Generate
    PlaygroundUI->>API: POST /private/ai/generate/image (prompt, model, size)
    API->>RateLimiter: ai_credit_limit()
    RateLimiter-->>API: { success, remaining, headers }
    alt Credits available
        API->>AIModel: generateImage(model, prompt, size)
        AIModel-->>API: { imageUrl, modelId, timestamp }
        API-->>PlaygroundUI: { imageUrl, modelId, timestamp, headers }
    else Out of credits
        API-->>PlaygroundUI: 429 Too Many Requests
    end
    PlaygroundUI-->>User: Display generated image or error
```

```mermaid
sequenceDiagram
    participant User
    participant PlaygroundUI
    participant API

    User->>PlaygroundUI: Open playground page
    PlaygroundUI->>API: GET /private/ai/credits
    API-->>PlaygroundUI: { remaining, reset }
    PlaygroundUI-->>User: Show remaining credits
```

## Poem

> In the playground where images bloom,  
> Credits counted, models loom.  
> With prompts and sizes, dreams take flight,  
> A rabbit’s joy in every byte!  
> Tooltips twinkle, colors bright,  
> Hop along—create, delight!  
> 🐇✨

<!-- walkthrough_end -->


---

<details>
<summary>📜 Recent review details</summary>

**Configuration used: CodeRabbit UI**
**Review profile: CHILL**
**Plan: Pro**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between debfb03db9e938450b18e5b248511df0bcb24dd0 and 6c7fb34f94f3f03b52c1f071304385e9a89d8320.

</details>

<details>
<summary>📒 Files selected for processing (2)</summary>

* `editor/app/(dev)/playground/image/_page.tsx` (1 hunks)
* `editor/components/chat/chatbox.tsx` (6 hunks)

</details>

<details>
<summary>✅ Files skipped from review due to trivial changes (1)</summary>

* editor/app/(dev)/playground/image/_page.tsx

</details>

<details>
<summary>🚧 Files skipped from review as they are similar to previous changes (1)</summary>

* editor/components/chat/chatbox.tsx

</details>

</details>
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 -->

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<summary>✨ Finishing Touches</summary>

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