bolt.diy (Previously oTToDev)

Welcome to bolt.diy, the official open source version of Bolt.new (previously known as oTToDev and bolt.new ANY LLM), which allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.

Check the bolt.diy Docs for more information. This documentation is still being updated after the transfer.

bolt.diy was originally started by Cole Medin but has quickly grown into a massive community effort to build the BEST open source AI coding assistant!

Join the community for bolt.diy!

https://thinktank.ottomator.ai

Requested Additions - Feel Free to Contribute!

• ✅ OpenRouter Integration (@coleam00)
• ✅ Gemini Integration (@jonathands)
• ✅ Autogenerate Ollama models from what is downloaded (@yunatamos)
• ✅ Filter models by provider (@jasonm23)
• ✅ Download project as ZIP (@fabwaseem)
• ✅ Improvements to the main bolt.new prompt in app\lib\.server\llm\prompts.ts (@kofi-bhr)
• ✅ DeepSeek API Integration (@zenith110)
• ✅ Mistral API Integration (@ArulGandhi)
• ✅ "Open AI Like" API Integration (@ZerxZ)
• ✅ Ability to sync files (one way sync) to local folder (@muzafferkadir)
• ✅ Containerize the application with Docker for easy installation (@aaronbolton)
• ✅ Publish projects directly to GitHub (@goncaloalves)
• ✅ Ability to enter API keys in the UI (@ali00209)
• ✅ xAI Grok Beta Integration (@milutinke)
• ✅ LM Studio Integration (@karrot0)
• ✅ HuggingFace Integration (@ahsan3219)
• ✅ Bolt terminal to see the output of LLM run commands (@thecodacus)
• ✅ Streaming of code output (@thecodacus)
• ✅ Ability to revert code to earlier version (@wonderwhy-er)
• ✅ Cohere Integration (@hasanraiyan)
• ✅ Dynamic model max token length (@hasanraiyan)
• ✅ Better prompt enhancing (@SujalXplores)
• ✅ Prompt caching (@SujalXplores)
• ✅ Load local projects into the app (@wonderwhy-er)
• ✅ Together Integration (@mouimet-infinisoft)
• ✅ Mobile friendly (@qwikode)
• ✅ Better prompt enhancing (@SujalXplores)
• ✅ Attach images to prompts (@atrokhym)
• ✅ Detect package.json and commands to auto install & run preview for folder and git import (@wonderwhy-er)
• ✅ Selection tool to target changes visually (@emcconnell)
• ⬜ HIGH PRIORITY - Prevent bolt from rewriting files as often (file locking and diffs)
• ⬜ HIGH PRIORITY - Better prompting for smaller LLMs (code window sometimes doesn't start)
• ⬜ HIGH PRIORITY - Run agents in the backend as opposed to a single model call
• ⬜ Deploy directly to Vercel/Netlify/other similar platforms
• ⬜ Have LLM plan the project in a MD file for better results/transparency
• ⬜ VSCode Integration with git-like confirmations
• ⬜ Upload documents for knowledge - UI design templates, a code base to reference coding style, etc.
• ⬜ Voice prompting
• ⬜ Azure Open AI API Integration
• ⬜ Perplexity Integration
• ⬜ Vertex AI Integration

bolt.diy Features

• AI-powered full-stack web development directly in your browser.
• Support for multiple LLMs with an extensible architecture to integrate additional models.
• Attach images to prompts for better contextual understanding.
• Integrated terminal to view output of LLM-run commands.
• Revert code to earlier versions for easier debugging and quicker changes.
• Download projects as ZIP for easy portability.
• Integration-ready Docker support for a hassle-free setup.

Setup bolt.diy

If you're new to installing software from GitHub, don't worry! If you encounter any issues, feel free to submit an "issue" using the provided links or improve this documentation by forking the repository, editing the instructions, and submitting a pull request. The following instruction will help you get the stable branch up and running on your local machine in no time.

Prerequisites

1. Install Git: Download Git

2. Install Node.js: Download Node.js

   • After installation, the Node.js path is usually added to your system automatically. To verify:
     • Windows: Search for "Edit the system environment variables," click "Environment Variables," and check if Node.js is in the Path variable.
     • Mac/Linux: Open a terminal and run:

       echo $PATH  

       Look for /usr/local/bin in the output.

Clone the Repository

Clone the repository using Git:

git clone -b stable https://github.com/stackblitz-labs/bolt.diy  

(Optional) Configure Environment Variables

Most environment variables can be configured directly through the settings menu of the application. However, if you need to manually configure them:

1. Rename .env.example to .env.local.
2. Add your LLM API keys. For example:

GROQ_API_KEY=YOUR_GROQ_API_KEY  
OPENAI_API_KEY=YOUR_OPENAI_API_KEY  
ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY  

Note: Ollama does not require an API key as it runs locally.

3. Optionally, set additional configurations:

# Debugging  
VITE_LOG_LEVEL=debug  

# Ollama settings (example: 8K context, localhost port 11434)  
OLLAMA_API_BASE_URL=http://localhost:11434  
DEFAULT_NUM_CTX=8192  

Important: Do not commit your .env.local file to version control. This file is already included in .gitignore.

---

Run the Application

Option 1: Without Docker

1. Install Dependencies:

   pnpm install  

   If pnpm is not installed, install it using:

   sudo npm install -g pnpm  

2. Start the Application:

   pnpm run dev  

   This will start the Remix Vite development server. You will need Google Chrome Canary to run this locally if you use Chrome! It's an easy install and a good browser for web development anyway.

Option 2: With Docker

Prerequisites

• Ensure Git, Node.js, and Docker are installed: Download Docker

Steps

1. Build the Docker Image:

   Use the provided NPM scripts:

   npm run dockerbuild       # Development build  
   npm run dockerbuild:prod  # Production build  

   Alternatively, use Docker commands directly:

   docker build . --target bolt-ai-development  # Development build  
   docker build . --target bolt-ai-production   # Production build  

2. Run the Container:
   Use Docker Compose profiles to manage environments:

   docker-compose --profile development up  # Development  
   docker-compose --profile production up   # Production  

   • With the development profile, changes to your code will automatically reflect in the running container (hot reloading).

---

Update Your Local Version to the Latest

To keep your local version of bolt.diy up to date with the latest changes, follow these steps for your operating system:

1. Navigate to your project folder

Navigate to the directory where you cloned the repository and open a terminal:

2. Fetch the Latest Changes

Use Git to pull the latest changes from the main repository:

git pull origin main

3. Update Dependencies

After pulling the latest changes, update the project dependencies by running the following command:

pnpm install

4. Run the Application

Once the updates are complete, you can start the application again with:

pnpm run dev

This ensures that you're running the latest version of bolt.diy and can take advantage of all the newest features and bug fixes.

---

Available Scripts

• pnpm run dev: Starts the development server.
• pnpm run build: Builds the project.
• pnpm run start: Runs the built application locally using Wrangler Pages.
• pnpm run preview: Builds and runs the production build locally.
• pnpm test: Runs the test suite using Vitest.
• pnpm run typecheck: Runs TypeScript type checking.
• pnpm run typegen: Generates TypeScript types using Wrangler.
• pnpm run deploy: Deploys the project to Cloudflare Pages.
• pnpm run lint:fix: Automatically fixes linting issues.

---

Contributing

We welcome contributions! Check out our Contributing Guide to get started.

---

Roadmap

Explore upcoming features and priorities on our Roadmap.

---

FAQ

For answers to common questions, visit our FAQ Page.