bolt.new-any-llm/README.md

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# bolt.diy (Previously oTToDev)
[![bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
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](https://stackblitz-labs.github.io/bolt.diy/) for more information.
We have also launched an experimental agent called the "bolt.diy Expert" that can answer common questions about bolt.diy. Find it here on the [oTTomator Live Agent Studio](https://studio.ottomator.ai/).
bolt.diy was originally started by [Cole Medin](https://www.youtube.com/@ColeMedin) but has quickly grown into a massive community effort to build the BEST open source AI coding assistant!
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## Table of Contents
- [Join the Community](#join-the-community)
- [Requested Additions](#requested-additions)
- [Features](#features)
- [Setup](#setup)
- [Run the Application](#run-the-application)
- [Available Scripts](#available-scripts)
- [Contributing](#contributing)
- [Roadmap](#roadmap)
- [FAQ](#faq)
## Join the community
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[Join the bolt.diy community here, in the thinktank on ottomator.ai!](https://thinktank.ottomator.ai)
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## Requested Additions
- ✅ 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)
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- ✅ 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)
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- ✅ Cohere Integration (@hasanraiyan)
- ✅ Dynamic model max token length (@hasanraiyan)
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- ✅ Better prompt enhancing (@SujalXplores)
- ✅ Prompt caching (@SujalXplores)
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- ✅ Load local projects into the app (@wonderwhy-er)
- ✅ Together Integration (@mouimet-infinisoft)
- ✅ Mobile friendly (@qwikode)
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- ✅ Better prompt enhancing (@SujalXplores)
- ✅ Attach images to prompts (@atrokhym)
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- ✅ Added Git Clone button (@thecodacus)
- ✅ Git Import from url (@thecodacus)
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- ✅ PromptLibrary to have different variations of prompts for different use cases (@thecodacus)
- ✅ Detect package.json and commands to auto install & run preview for folder and git import (@wonderwhy-er)
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- ✅ 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
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- ⬜ 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
## Features
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- **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.
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## Setup
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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.
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Let's get you up and running with the stable version of Bolt.DIY!
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## Quick Download
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[![Download Latest Release](https://img.shields.io/github/v/release/stackblitz-labs/bolt.diy?label=Download%20Bolt&sort=semver)](https://github.com/stackblitz-labs/bolt.diy/releases/latest) ← Click here to go the the latest release version!
- Next **click source.zip**
## Prerequisites
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Before you begin, you'll need to install two important pieces of software:
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### Install Node.js
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Node.js is required to run the application.
1. Visit the [Node.js Download Page](https://nodejs.org/en/download/)
2. Download the "LTS" (Long Term Support) version for your operating system
3. Run the installer, accepting the default settings
4. Verify Node.js is properly installed:
- **For Windows Users**:
1. Press `Windows + R`
2. Type "sysdm.cpl" and press Enter
3. Go to "Advanced" tab → "Environment Variables"
4. Check if `Node.js` appears in the "Path" variable
- **For Mac/Linux Users**:
1. Open Terminal
2. Type this command:
```bash
echo $PATH
```
3. Look for `/usr/local/bin` in the output
## Running the Application
You have two options for running Bolt.DIY: directly on your machine or using Docker.
### Option 1: Direct Installation (Recommended for Beginners)
1. **Install Package Manager (pnpm)**:
```bash
npm install -g pnpm
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```
2. **Install Project Dependencies**:
```bash
pnpm install
```
3. **Start the Application**:
```bash
pnpm run dev
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```
**Important Note**: If you're using Google Chrome, you'll need Chrome Canary for local development. [Download it here](https://www.google.com/chrome/canary/)
### Option 2: Using Docker
This option requires some familiarity with Docker but provides a more isolated environment.
#### Additional Prerequisite
- Install Docker: [Download Docker](https://www.docker.com/)
#### Steps:
1. **Build the Docker Image**:
```bash
# Using npm script:
npm run dockerbuild
# OR using direct Docker command:
docker build . --target bolt-ai-development
```
2. **Run the Container**:
```bash
docker-compose --profile development up
```
## Configuring API Keys and Providers
### Adding Your API Keys
Setting up your API keys in Bolt.DIY is straightforward:
1. Open the home page (main interface)
2. Select your desired provider from the dropdown menu
3. Click the pencil (edit) icon
4. Enter your API key in the secure input field
![API Key Configuration Interface](./docs/images/api-key-ui-section.png)
### Configuring Custom Base URLs
For providers that support custom base URLs (such as Ollama or LM Studio), follow these steps:
1. Click the settings icon in the sidebar to open the settings menu
![Settings Button Location](./docs/images/bolt-settings-button.png)
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2. Navigate to the "Providers" tab
3. Search for your provider using the search bar
4. Enter your custom base URL in the designated field
![Provider Base URL Configuration](./docs/images/provider-base-url.png)
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> **Note**: Custom base URLs are particularly useful when running local instances of AI models or using custom API endpoints.
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### Supported Providers
- Ollama
- LM Studio
- OpenAILike
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## Setup Using Git (For Developers only)
This method is recommended for developers who want to:
- Contribute to the project
- Stay updated with the latest changes
- Switch between different versions
- Create custom modifications
#### Prerequisites
1. Install Git: [Download Git](https://git-scm.com/downloads)
#### Initial Setup
1. **Clone the Repository**:
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```bash
# Using HTTPS
git clone https://github.com/stackblitz-labs/bolt.diy.git
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```
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2. **Navigate to Project Directory**:
```bash
cd bolt.diy
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```
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3. **Switch to the Main Branch**:
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```bash
git checkout main
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```
4. **Install Dependencies**:
```bash
pnpm install
```
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5. **Start the Development Server**:
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```bash
pnpm run dev
```
#### Staying Updated
To get the latest changes from the repository:
1. **Save Your Local Changes** (if any):
```bash
git stash
```
2. **Pull Latest Updates**:
```bash
git pull origin main
```
3. **Update Dependencies**:
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```bash
pnpm install
```
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4. **Restore Your Local Changes** (if any):
```bash
git stash pop
```
#### Troubleshooting Git Setup
If you encounter issues:
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1. **Clean Installation**:
```bash
# Remove node modules and lock files
rm -rf node_modules pnpm-lock.yaml
# Clear pnpm cache
pnpm store prune
# Reinstall dependencies
pnpm install
```
2. **Reset Local Changes**:
```bash
# Discard all local changes
git reset --hard origin/main
```
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Remember to always commit your local changes or stash them before pulling updates to avoid conflicts.
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---
## 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](CONTRIBUTING.md) to get started.
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---
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## Roadmap
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Explore upcoming features and priorities on our [Roadmap](https://roadmap.sh/r/ottodev-roadmap-2ovzo).
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---
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## FAQ
For answers to common questions, issues, and to see a list of recommended models, visit our [FAQ Page](FAQ.md).