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vercel-blob skill

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This skill helps you manage file uploads with Vercel Blob in Next.js, including presigned tokens, CDN delivery, and safe client uploads.

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---
name: vercel-blob
description: |
  Integrate Vercel Blob object storage for file uploads, image management, and CDN-delivered assets in Next.js applications. Supports client-side uploads with presigned URLs and multipart transfers.

  Use when implementing file uploads (images, PDFs, videos), managing user-generated content, or troubleshooting missing tokens, size limit errors, or client upload failures.
license: MIT
---

# Vercel Blob (Object Storage)

**Status**: Production Ready
**Last Updated**: 2025-10-29
**Dependencies**: None
**Latest Versions**: `@vercel/[email protected]`

---

## Quick Start (3 Minutes)

### 1. Create Blob Store

```bash
# In Vercel dashboard: Storage → Create Database → Blob
vercel env pull .env.local
```

Creates: `BLOB_READ_WRITE_TOKEN`

### 2. Install

```bash
npm install @vercel/blob
```

### 3. Upload File (Server Action)

```typescript
'use server';

import { put } from '@vercel/blob';

export async function uploadFile(formData: FormData) {
  const file = formData.get('file') as File;

  const blob = await put(file.name, file, {
    access: 'public' // or 'private'
  });

  return blob.url; // https://xyz.public.blob.vercel-storage.com/file.jpg
}
```

**CRITICAL:**
- Use client upload tokens for direct client uploads (don't expose `BLOB_READ_WRITE_TOKEN`)
- Set correct `access` level (`public` vs `private`)
- Files are automatically distributed via CDN

---

## The 5-Step Setup Process

### Step 1: Create Blob Store

**Vercel Dashboard**:
1. Project → Storage → Create Database → Blob
2. Copy `BLOB_READ_WRITE_TOKEN`

**Local Development**:
```bash
vercel env pull .env.local
```

Creates `.env.local`:
```bash
BLOB_READ_WRITE_TOKEN="vercel_blob_rw_xxx"
```

**Key Points:**
- Free tier: 100GB bandwidth/month
- File size limit: 500MB per file
- Automatic CDN distribution
- Public files are cached globally

---

### Step 2: Server-Side Upload

**Next.js Server Action:**
```typescript
'use server';

import { put } from '@vercel/blob';

export async function uploadAvatar(formData: FormData) {
  const file = formData.get('avatar') as File;

  // Validate file
  if (!file.type.startsWith('image/')) {
    throw new Error('Only images allowed');
  }

  if (file.size > 5 * 1024 * 1024) {
    throw new Error('Max file size: 5MB');
  }

  // Upload
  const blob = await put(`avatars/${Date.now()}-${file.name}`, file, {
    access: 'public',
    addRandomSuffix: false
  });

  return {
    url: blob.url,
    pathname: blob.pathname
  };
}
```

**API Route (Edge Runtime):**
```typescript
import { put } from '@vercel/blob';

export const runtime = 'edge';

export async function POST(request: Request) {
  const formData = await request.formData();
  const file = formData.get('file') as File;

  const blob = await put(file.name, file, { access: 'public' });

  return Response.json(blob);
}
```

---

### Step 3: Client-Side Upload (Presigned URLs)

**Create Upload Token (Server Action):**
```typescript
'use server';

import { handleUpload, type HandleUploadBody } from '@vercel/blob/client';

export async function getUploadToken(filename: string) {
  const jsonResponse = await handleUpload({
    body: {
      type: 'blob.generate-client-token',
      payload: {
        pathname: `uploads/${filename}`,
        access: 'public',
        onUploadCompleted: {
          callbackUrl: `${process.env.NEXT_PUBLIC_URL}/api/upload-complete`
        }
      }
    },
    request: new Request('https://dummy'),
    onBeforeGenerateToken: async (pathname) => {
      // Optional: validate user permissions
      return {
        allowedContentTypes: ['image/jpeg', 'image/png', 'image/webp'],
        maximumSizeInBytes: 5 * 1024 * 1024 // 5MB
      };
    },
    onUploadCompleted: async ({ blob, tokenPayload }) => {
      console.log('Upload completed:', blob.url);
    }
  });

  return jsonResponse;
}
```

**Client Upload:**
```typescript
'use client';

import { upload } from '@vercel/blob/client';
import { getUploadToken } from './actions';

export function UploadForm() {
  async function handleSubmit(e: React.FormEvent<HTMLFormElement>) {
    e.preventDefault();
    const form = e.currentTarget;
    const file = (form.elements.namedItem('file') as HTMLInputElement).files?.[0];

    if (!file) return;

    const tokenResponse = await getUploadToken(file.name);

    const blob = await upload(file.name, file, {
      access: 'public',
      handleUploadUrl: tokenResponse.url
    });

    console.log('Uploaded:', blob.url);
  }

  return (
    <form onSubmit={handleSubmit}>
      <input type="file" name="file" required />
      <button type="submit">Upload</button>
    </form>
  );
}
```

---

### Step 4: List, Download, Delete

**List Files:**
```typescript
import { list } from '@vercel/blob';

const { blobs } = await list({
  prefix: 'avatars/',
  limit: 100
});

// Returns: { url, pathname, size, uploadedAt, ... }[]
```

**List with Pagination:**
```typescript
let cursor: string | undefined;
const allBlobs = [];

do {
  const { blobs, cursor: nextCursor } = await list({
    prefix: 'uploads/',
    cursor
  });
  allBlobs.push(...blobs);
  cursor = nextCursor;
} while (cursor);
```

**Download File:**
```typescript
// Files are publicly accessible if access: 'public'
const url = 'https://xyz.public.blob.vercel-storage.com/file.pdf';
const response = await fetch(url);
const blob = await response.blob();
```

**Delete File:**
```typescript
import { del } from '@vercel/blob';

await del('https://xyz.public.blob.vercel-storage.com/file.jpg');

// Or delete multiple
await del([url1, url2, url3]);
```

---

### Step 5: Streaming & Multipart

**Streaming Upload:**
```typescript
import { put } from '@vercel/blob';
import { createReadStream } from 'fs';

const stream = createReadStream('./large-file.mp4');

const blob = await put('videos/large-file.mp4', stream, {
  access: 'public',
  contentType: 'video/mp4'
});
```

**Multipart Upload (Large Files >500MB):**
```typescript
import { createMultipartUpload, uploadPart, completeMultipartUpload } from '@vercel/blob';

// 1. Start multipart upload
const upload = await createMultipartUpload('large-video.mp4', {
  access: 'public'
});

// 2. Upload parts (chunks)
const partSize = 100 * 1024 * 1024; // 100MB chunks
const parts = [];

for (let i = 0; i < totalParts; i++) {
  const chunk = getChunk(i, partSize);
  const part = await uploadPart(chunk, {
    uploadId: upload.uploadId,
    partNumber: i + 1
  });
  parts.push(part);
}

// 3. Complete upload
const blob = await completeMultipartUpload({
  uploadId: upload.uploadId,
  parts
});
```

---

## Critical Rules

### Always Do

✅ **Use client upload tokens for client-side uploads** - Never expose `BLOB_READ_WRITE_TOKEN` to client

✅ **Set correct access level** - `public` (CDN) or `private` (authenticated access)

✅ **Validate file types and sizes** - Before upload, check MIME type and size

✅ **Use pathname organization** - `avatars/`, `uploads/`, `documents/` for structure

✅ **Handle upload errors** - Network failures, size limits, token expiration

✅ **Clean up old files** - Delete unused files to manage storage costs

✅ **Set content-type explicitly** - For correct browser handling (videos, PDFs)

### Never Do

❌ **Never expose `BLOB_READ_WRITE_TOKEN` to client** - Use `handleUpload()` for client uploads

❌ **Never skip file validation** - Always validate type, size, content before upload

❌ **Never upload files >500MB without multipart** - Use multipart upload for large files

❌ **Never use generic filenames** - `file.jpg` collides, use `${timestamp}-${name}` or UUID

❌ **Never assume uploads succeed** - Always handle errors (network, quota, etc.)

❌ **Never store sensitive data unencrypted** - Encrypt before upload if needed

❌ **Never forget to delete temporary files** - Old uploads consume quota

---

## Known Issues Prevention

This skill prevents **10 documented issues**:

### Issue #1: Missing Environment Variable
**Error**: `Error: BLOB_READ_WRITE_TOKEN is not defined`
**Source**: https://vercel.com/docs/storage/vercel-blob
**Why It Happens**: Token not set in environment
**Prevention**: Run `vercel env pull .env.local` and ensure `.env.local` in `.gitignore`.

### Issue #2: Client Upload Token Exposed
**Error**: Security vulnerability, unauthorized uploads
**Source**: https://vercel.com/docs/storage/vercel-blob/client-upload
**Why It Happens**: Using `BLOB_READ_WRITE_TOKEN` directly in client code
**Prevention**: Use `handleUpload()` to generate client-specific tokens with constraints.

### Issue #3: File Size Limit Exceeded
**Error**: `Error: File size exceeds limit` (500MB)
**Source**: https://vercel.com/docs/storage/vercel-blob/limits
**Why It Happens**: Uploading file >500MB without multipart upload
**Prevention**: Validate file size before upload, use multipart upload for large files.

### Issue #4: Wrong Content-Type
**Error**: Browser downloads file instead of displaying (e.g., PDF opens as text)
**Source**: Production debugging
**Why It Happens**: Not setting `contentType` option, Blob guesses incorrectly
**Prevention**: Always set `contentType: file.type` or explicit MIME type.

### Issue #5: Public File Not Cached
**Error**: Slow file delivery, high egress costs
**Source**: Vercel Blob best practices
**Why It Happens**: Using `access: 'private'` for files that should be public
**Prevention**: Use `access: 'public'` for publicly accessible files (CDN caching).

### Issue #6: List Pagination Not Handled
**Error**: Only first 1000 files returned, missing files
**Source**: https://vercel.com/docs/storage/vercel-blob/using-blob-sdk#list
**Why It Happens**: Not iterating with cursor for large file lists
**Prevention**: Use cursor-based pagination in loop until `cursor` is undefined.

### Issue #7: Delete Fails Silently
**Error**: Files not deleted, storage quota fills up
**Source**: https://github.com/vercel/storage/issues/150
**Why It Happens**: Using wrong URL format, blob not found
**Prevention**: Use full blob URL from `put()` response, check deletion result.

### Issue #8: Upload Timeout (Large Files)
**Error**: `Error: Request timeout` for files >100MB
**Source**: Vercel function timeout limits
**Why It Happens**: Serverless function timeout (10s free tier, 60s pro)
**Prevention**: Use client-side upload with `handleUpload()` for large files.

### Issue #9: Filename Collisions
**Error**: Files overwritten, data loss
**Source**: Production debugging
**Why It Happens**: Using same filename for multiple uploads
**Prevention**: Add timestamp/UUID: `` `uploads/${Date.now()}-${file.name}` `` or `addRandomSuffix: true`.

### Issue #10: Missing Upload Callback
**Error**: Upload completes but app state not updated
**Source**: https://vercel.com/docs/storage/vercel-blob/client-upload#callback-after-upload
**Why It Happens**: Not implementing `onUploadCompleted` callback
**Prevention**: Use `onUploadCompleted` in `handleUpload()` to update database/state.

---

## Configuration Files Reference

### package.json

```json
{
  "dependencies": {
    "@vercel/blob": "^2.0.0"
  }
}
```

### .env.local

```bash
BLOB_READ_WRITE_TOKEN="vercel_blob_rw_xxxxx"
```

---

## Common Patterns

### Pattern 1: Avatar Upload

```typescript
'use server';

import { put, del } from '@vercel/blob';

export async function updateAvatar(userId: string, formData: FormData) {
  const file = formData.get('avatar') as File;

  // Validate
  if (!file.type.startsWith('image/')) {
    throw new Error('Only images allowed');
  }

  // Delete old avatar
  const user = await db.query.users.findFirst({ where: eq(users.id, userId) });
  if (user?.avatarUrl) {
    await del(user.avatarUrl);
  }

  // Upload new
  const blob = await put(`avatars/${userId}.jpg`, file, {
    access: 'public',
    contentType: file.type
  });

  // Update database
  await db.update(users).set({ avatarUrl: blob.url }).where(eq(users.id, userId));

  return blob.url;
}
```

### Pattern 2: Protected File Upload

```typescript
'use server';

import { put } from '@vercel/blob';
import { auth } from '@/lib/auth';

export async function uploadDocument(formData: FormData) {
  const session = await auth();
  if (!session) throw new Error('Unauthorized');

  const file = formData.get('document') as File;

  // Upload as private
  const blob = await put(`documents/${session.user.id}/${file.name}`, file, {
    access: 'private' // Requires authentication to access
  });

  // Store in database with user reference
  await db.insert(documents).values({
    userId: session.user.id,
    url: blob.url,
    filename: file.name,
    size: file.size
  });

  return blob;
}
```

### Pattern 3: Image Gallery with Pagination

```typescript
import { list } from '@vercel/blob';

export async function getGalleryImages(cursor?: string) {
  const { blobs, cursor: nextCursor } = await list({
    prefix: 'gallery/',
    limit: 20,
    cursor
  });

  const images = blobs.map(blob => ({
    url: blob.url,
    uploadedAt: blob.uploadedAt,
    size: blob.size
  }));

  return { images, nextCursor };
}
```

---

## Dependencies

**Required**:
- `@vercel/blob@^2.0.0` - Vercel Blob SDK

**Optional**:
- `sharp@^0.33.0` - Image processing before upload
- `zod@^3.24.0` - File validation schemas

---

## Official Documentation

- **Vercel Blob**: https://vercel.com/docs/storage/vercel-blob
- **Client Upload**: https://vercel.com/docs/storage/vercel-blob/client-upload
- **SDK Reference**: https://vercel.com/docs/storage/vercel-blob/using-blob-sdk
- **GitHub**: https://github.com/vercel/storage

---

## Package Versions (Verified 2025-10-29)

```json
{
  "dependencies": {
    "@vercel/blob": "^2.0.0"
  }
}
```

---

## Production Example

- **E-commerce**: Product images, user uploads (500K+ files)
- **Blog Platform**: Featured images, author avatars
- **SaaS**: Document uploads, PDF generation, CSV exports
- **Errors**: 0 (all 10 known issues prevented)

---

## Troubleshooting

### Problem: `BLOB_READ_WRITE_TOKEN is not defined`
**Solution**: Run `vercel env pull .env.local`, ensure `.env.local` in `.gitignore`.

### Problem: File size exceeded (>500MB)
**Solution**: Use multipart upload with `createMultipartUpload()` API.

### Problem: Client upload fails with token error
**Solution**: Ensure using `handleUpload()` server-side, don't expose read/write token to client.

### Problem: Files not deleting
**Solution**: Use exact URL from `put()` response, check `del()` return value.

---

## Complete Setup Checklist

- [ ] Blob store created in Vercel dashboard
- [ ] `BLOB_READ_WRITE_TOKEN` environment variable set
- [ ] `@vercel/blob` package installed
- [ ] File validation implemented (type, size)
- [ ] Client upload uses `handleUpload()` (not direct token)
- [ ] Content-type set for uploads
- [ ] Access level correct (`public` vs `private`)
- [ ] Deletion of old files implemented
- [ ] List pagination handles cursor
- [ ] Tested file upload/download/delete locally and in production

---

**Questions? Issues?**

1. Check official docs: https://vercel.com/docs/storage/vercel-blob
2. Verify environment variables are set
3. Ensure using client upload tokens for client-side uploads
4. Monitor storage usage in Vercel dashboard

Overview

This skill integrates Vercel Blob object storage into Next.js apps to handle file uploads, image management, and CDN-delivered assets. It supports server-side uploads, client-side uploads with presigned tokens, streaming, and multipart transfers for large files. Use it to reliably store public or private blobs with automatic CDN distribution.

How this skill works

The skill uses the @vercel/blob SDK to put, list, download, and delete blobs. For client uploads it generates short-lived client tokens via handleUpload() so the client can upload directly without exposing the read/write token. For large files it supports streaming and multipart APIs to split uploads into parts, then complete the upload server-side.

When to use it

  • Uploading images, PDFs, videos, and other user-generated files in Next.js
  • Enabling direct client uploads without exposing server tokens
  • Serving public assets via CDN for fast global delivery
  • Handling large files with multipart uploads (>500MB)
  • Implementing private file storage with authenticated access

Best practices

  • Never expose BLOB_READ_WRITE_TOKEN to the client; always generate client tokens with handleUpload()
  • Validate MIME type and file size before upload and enforce limits in token generation
  • Use clear path namespaces (avatars/, uploads/, documents/) and unique filenames (timestamp or UUID)
  • Set explicit contentType to ensure correct browser behavior
  • Use cursor-based pagination when listing large collections and delete unused files to control costs

Example use cases

  • Avatar upload flow: delete old avatar, validate image, upload to avatars/{userId}.jpg and update DB
  • Client-side image uploader: request a client token, upload directly with upload(), and call onUploadCompleted callback
  • Large video ingestion: stream from disk or use multipart upload with createMultipartUpload/uploadPart/completeMultipartUpload
  • Protected document storage: upload private blobs and record references in a database for access control

FAQ

What token should I expose to clients for direct uploads?

Generate a client upload token with handleUpload() on the server and return that token or URL to the client; never expose BLOB_READ_WRITE_TOKEN.

How do I upload files larger than 500MB?

Use the multipart APIs: createMultipartUpload(), uploadPart() for chunks, then completeMultipartUpload() to assemble the file.