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updated docs with new name

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Anirban Kar
2024-12-11 20:32:09 +05:30
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# Welcome to OTTO Dev
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.
# Welcome to Bolt DIY
Bolt.diy 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!
Join the community!
https://thinktank.ottomator.ai
## Whats Bolt.new
## Whats Bolt.diy
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!](./CONTRIBUTING.md)
Bolt.diy 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!](./CONTRIBUTING.md)
## What Makes Bolt.new Different
## What Makes Bolt.diy Different
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where Bolt.new stands out:
Claude, v0, etc are incredible- but you can't install packages, run backends, or edit code. That’s where Bolt.diy stands out:
- **Full-Stack in the Browser**: Bolt.new integrates cutting-edge AI models with an in-browser development environment powered by **StackBlitz’s WebContainers**. This allows you to:
- **Full-Stack in the Browser**: Bolt.diy integrates cutting-edge AI models with an in-browser development environment powered by **StackBlitz’s WebContainers**. This allows you to:
- Install and run npm tools and libraries (like Vite, Next.js, and more)
- Run Node.js servers
- Interact with third-party APIs
- Deploy to production from chat
- Share your work via a URL
- **AI with Environment Control**: Unlike traditional dev environments where the AI can only assist in code generation, Bolt.new gives AI models **complete control** over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the whole app lifecycle—from creation to deployment.
- **AI with Environment Control**: Unlike traditional dev environments where the AI can only assist in code generation, Bolt.diy gives AI models **complete control** over the entire environment including the filesystem, node server, package manager, terminal, and browser console. This empowers AI agents to handle the whole app lifecycle—from creation to deployment.
Whether you’re an experienced developer, a PM, or a designer, Bolt.new allows you to easily build production-grade full-stack applications.
Whether you’re an experienced developer, a PM, or a designer, Bolt.diy 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!
@@ -47,10 +47,10 @@ If you see usr/local/bin in the output then you're good to go.
3. 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
git clone https://github.com/stackblitz-labs/bolt.diy.git
```
3. 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.
3. Rename .env.example to .env.local and add your LLM API keys. You will find this file on a Mac at "[your name]/bolt.diy/.env.example". For Windows and Linux the path will be similar.
![image](https://github.com/user-attachments/assets/7e6a532c-2268-401f-8310-e8d20c731328)
@@ -150,7 +150,7 @@ pnpm run dev
## 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.
To make new LLMs available to use in this version of Bolt.diy, 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!
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## Tips and Tricks
Here are some tips to get the most out of Bolt.new:
Here are some tips to get the most out of Bolt.diy:
- **Be specific about your stack**: If you want to use specific frameworks or libraries (like Astro, Tailwind, ShadCN, or any other popular JavaScript framework), mention them in your initial prompt to ensure Bolt scaffolds the project accordingly.