Fragments by E2B

This is an open-source version of apps like Anthropic's Claude Artifacts, Vercel v0, or GPT Engineer.

Powered by the E2B SDK.

→ Try on fragments.e2b.dev

Features

• Based on Next.js 14 (App Router, Server Actions), shadcn/ui, TailwindCSS, Vercel AI SDK.
• Uses the E2B SDK by E2B to securely execute code generated by AI.
• Streaming in the UI.
• Can install and use any package from npm, pip.
• Supported stacks (add your own):
  • 🔸 Python interpreter
  • 🔸 Next.js
  • 🔸 Vue.js
  • 🔸 Streamlit
  • 🔸 Gradio
• Supported LLM Providers (add your own):
  • 🔸 OpenAI
  • 🔸 Anthropic
  • 🔸 Google AI
  • 🔸 Mistral
  • 🔸 Groq
  • 🔸 Fireworks
  • 🔸 Together AI
  • 🔸 Ollama
• Integrates with Morph Apply model for token efficient, accurate and faster code editing.

Make sure to give us a star!

<img width="165" alt="Screenshot 2024-04-20 at 22 13 32" src="https://github.com/mishushakov/llm-scraper/assets/10400064/11e2a79f-a835-48c4-9f85-5c104ca7bb49">

Get started

Prerequisites

• git
• Recent version of Node.js and npm package manager
• E2B API Key
• LLM Provider API Key

1. Clone the repository

In your terminal:

git clone https://github.com/e2b-dev/fragments.git

2. Install the dependencies

Enter the repository:

cd fragments

Run the following to install the required dependencies:

npm i

3. Set the environment variables

Create a .env.local file and set the following:

# Get your API key here - https://e2b.dev/
E2B_API_KEY="your-e2b-api-key"

# OpenAI API Key
OPENAI_API_KEY=

# Other providers
ANTHROPIC_API_KEY=
GROQ_API_KEY=
FIREWORKS_API_KEY=
TOGETHER_API_KEY=
GOOGLE_AI_API_KEY=
GOOGLE_VERTEX_CREDENTIALS=
MISTRAL_API_KEY=
XAI_API_KEY=

### Optional env vars

# (on by default) Get your MORPH key here - https://morphllm.com/dashboard/api-keys
MORPH_API_KEY=

# Domain of the site
NEXT_PUBLIC_SITE_URL=

# Rate limit
RATE_LIMIT_MAX_REQUESTS=
RATE_LIMIT_WINDOW=

# Vercel/Upstash KV (short URLs, rate limiting)
KV_REST_API_URL=
KV_REST_API_TOKEN=

# Supabase (auth)
SUPABASE_URL=
SUPABASE_ANON_KEY=

# PostHog (analytics)
NEXT_PUBLIC_POSTHOG_KEY=
NEXT_PUBLIC_POSTHOG_HOST=

### Disabling functionality (when uncommented)

# Disable API key and base URL input in the chat
# NEXT_PUBLIC_NO_API_KEY_INPUT=
# NEXT_PUBLIC_NO_BASE_URL_INPUT=

# Hide local models from the list of available models
# NEXT_PUBLIC_HIDE_LOCAL_MODELS=

4. Start the development server

npm run dev

5. Build the web app

npm run build

Customize

Adding custom personas

1. Make sure E2B CLI is installed and you're logged in.

2. Add a new folder under sandbox-templates/

3. Initialize a new template using E2B CLI:

   e2b template init
   

   This will create a new file called e2b.Dockerfile.

4. Adjust the e2b.Dockerfile

   Here's an example streamlit template:

   # You can use most Debian-based base images
   FROM python:3.19-slim
   
   RUN pip3 install --no-cache-dir streamlit pandas numpy matplotlib requests seaborn plotly
   
   # Copy the code to the container
   WORKDIR /home/user
   COPY . /home/user
   

5. Specify a custom start command in e2b.toml:

   start_cmd = "cd /home/user && streamlit run app.py"
   

6. Deploy the template with the E2B CLI

   e2b template build --name <template-name>
   

   After the build has finished, you should get the following message:

   ✅ Building sandbox template <template-id> <template-name> finished.
   

7. Open lib/templates.json in your code editor.

   Add your new template to the list. Here's an example for Streamlit:

   "streamlit-developer": {
     "name": "Streamlit developer\