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coleam00 / bolt.new-any-llm

Prompt, run, edit, and deploy full-stack web applications using any LLM you want!
https://bolt.new
MIT License
3.85k stars 1.58k forks source link

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Bolt.new: AI-Powered Full-Stack Web Development in the Browser

Bolt.new Fork by Cole Medin - oTToDev

This fork of Bolt.new (oTToDev) 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.

Join the community for oTToDev!

https://thinktank.ottomator.ai

Requested Additions to this Fork - Feel Free to Contribute!!

Bolt.new: AI-Powered Full-Stack Web Development in the Browser

Bolt.new is an AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly from your browser—no local setup required. If you're here to build your own AI-powered web dev agent using the Bolt open source codebase, click here to get started!

What Makes Bolt.new Different

Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where Bolt.new stands out:

Whether you’re an experienced developer, a PM, or a designer, Bolt.new allows you to easily build production-grade full-stack applications.

For developers interested in building their own AI-powered development tools with WebContainers, check out the open-source Bolt codebase in this repo!

Setup

Many of you are new users to installing software from Github. If you have any installation troubles reach out and submit an "issue" using the links above, or feel free to enhance this documentation by forking, editing the instructions, and doing a pull request.

  1. Install Git from https://git-scm.com/downloads

  2. Install Node.js from https://nodejs.org/en/download/

Pay attention to the installer notes after completion.

On all operating systems, the path to Node.js should automatically be added to your system path. But you can check your path if you want to be sure. On Windows, you can search for "edit the system environment variables" in your system, select "Environment Variables..." once you are in the system properties, and then check for a path to Node in your "Path" system variable. On a Mac or Linux machine, it will tell you to check if /usr/local/bin is in your $PATH. To determine if usr/local/bin is included in $PATH open your Terminal and run:

echo $PATH .

If you see usr/local/bin in the output then you're good to go.

  1. Clone the repository (if you haven't already) by opening a Terminal window (or CMD with admin permissions) and then typing in this:
git clone https://github.com/coleam00/bolt.new-any-llm.git
  1. Rename .env.example to .env.local and add your LLM API keys. You will find this file on a Mac at "[your name]/bold.new-any-llm/.env.example". For Windows and Linux the path will be similar.

image

If you can't see the file indicated above, its likely you can't view hidden files. On Mac, open a Terminal window and enter this command below. On Windows, you will see the hidden files option in File Explorer Settings. A quick Google search will help you if you are stuck here.

defaults write com.apple.finder AppleShowAllFiles YES

NOTE: you only have to set the ones you want to use and Ollama doesn't need an API key because it runs locally on your computer:

Get your GROQ API Key here: https://console.groq.com/keys

Get your Open AI API Key by following these instructions: https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key

Get your Anthropic API Key in your account settings: https://console.anthropic.com/settings/keys

GROQ_API_KEY=XXX
OPENAI_API_KEY=XXX
ANTHROPIC_API_KEY=XXX

Optionally, you can set the debug level:

VITE_LOG_LEVEL=debug

Important: Never commit your .env.local file to version control. It's already included in .gitignore.

Run with Docker

Prerequisites:

Git and Node.js as mentioned above, as well as Docker: https://www.docker.com/

1a. Using Helper Scripts

NPM scripts are provided for convenient building:

# Development build
npm run dockerbuild

# Production build
npm run dockerbuild:prod

1b. Direct Docker Build Commands (alternative to using NPM scripts)

You can use Docker's target feature to specify the build environment instead of using NPM scripts if you wish:

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

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

2. Docker Compose with Profiles to Run the Container

Use Docker Compose profiles to manage different environments:

# Development environment
docker-compose --profile development up

# Production environment
docker-compose --profile production up

When you run the Docker Compose command with the development profile, any changes you make on your machine to the code will automatically be reflected in the site running on the container (i.e. hot reloading still applies!).

Run Without Docker

  1. Install dependencies using Terminal (or CMD in Windows with admin permissions):
pnpm install

If you get an error saying "command not found: pnpm" or similar, then that means pnpm isn't installed. You can install it via this:

sudo npm install -g pnpm
  1. Start the application with the command:
pnpm run dev

Super Important Note on Running Ollama Models

Ollama models by default only have 2048 tokens for their context window. Even for large models that can easily handle way more. This is not a large enough window to handle the Bolt.new/oTToDev prompt! You have to create a version of any model you want to use where you specify a larger context window. Luckily it's super easy to do that.

All you have to do is:

FROM [Ollama model ID such as qwen2.5-coder:7b]
PARAMETER num_ctx 32768
ollama create -f Modelfile [your new model ID, can be whatever you want (example: qwen2.5-coder-extra-ctx:7b)]

Now you have a new Ollama model that isn't heavily limited in the context length like Ollama models are by default for some reason. You'll see this new model in the list of Ollama models along with all the others you pulled!

Adding New LLMs:

To make new LLMs available to use in this version of Bolt.new, head on over to app/utils/constants.ts and find the constant MODEL_LIST. Each element in this array is an object that has the model ID for the name (get this from the provider's API documentation), a label for the frontend model dropdown, and the provider.

By default, Anthropic, OpenAI, Groq, and Ollama are implemented as providers, but the YouTube video for this repo covers how to extend this to work with more providers if you wish!

When you add a new model to the MODEL_LIST array, it will immediately be available to use when you run the app locally or reload it. For Ollama models, make sure you have the model installed already before trying to use it here!

Available Scripts

Development

To start the development server:

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.

Tips and Tricks

Here are some tips to get the most out of Bolt.new: