https://github.com/chigwell/llm7.io

LLM7.io offers a single API gateway that connects you to a wide array of leading AI models from various providers.
https://github.com/chigwell/llm7.io

ai api artificial-intelligence inference large-language-models llm models

Last synced: 3 months ago
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LLM7.io offers a single API gateway that connects you to a wide array of leading AI models from various providers.

Host: GitHub
URL: https://github.com/chigwell/llm7.io
Owner: chigwell
License: agpl-3.0
Created: 2025-04-09T21:21:26.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2026-02-04T09:01:10.000Z (5 months ago)
Last Synced: 2026-02-04T19:29:12.803Z (5 months ago)
Topics: ai, api, artificial-intelligence, inference, large-language-models, llm, models
Language: TypeScript
Homepage: https://llm7.io/
Size: 26.6 MB
Stars: 139
Watchers: 3
Forks: 4
Open Issues: 4
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

This repository contains the source code for the landing page of [LLM7.io](https://llm7.io), a free, open endpoint for accessing top LLMs (Large Language Models) without requiring heavy hardware.

## Overview

LLM7.io provides:
- **Free access** to powerful LLMs (GPT-4-like, DeepSeek, Mistral, etc.)
- **Token access**: Use an API token to access the service
- **Free tokens**: Get higher rate limits via [token.llm7.io](https://token.llm7.io)
- **OpenAI-compatible API** for seamless integration with existing tools

The landing page highlights the core features, usage instructions, and goals of the service.

## Features

- **Token-required access**: Use a free API token to call the service
- **Free tokens**: Get higher rate limits via [token.llm7.io](https://token.llm7.io)
- **Responsive design**: Clean layout showcasing LLM7.io's benefits
- **Quick start guides**: Python, Node.js, and CLI examples
- **Documentation links**: Jumpstart your LLM integration

## Getting Started (Local Development)

1. **Clone the Repo**
```bash
git clone https://github.com/chigwell/llm7.io.git
```
2. **Install Dependencies**
```bash
cd llm7.io
npm install
```
3. **Run Development Server**
```bash
npm run dev
```
Access at http://localhost:3000

4. **Production Build**
```bash
npm run build
npm run start
```

## Using LLM7.io API
### With tokens:
```python
import openai
client = openai.OpenAI(
base_url="https://api.llm7.io/v1",
api_key="YOUR_FREE_TOKEN" # Get from https://token.llm7.io
)
response = client.chat.completions.create(model="gpt-4", messages=[...])
```

## Contributing
We welcome contributions! Please:
- Report bugs via GitHub issues
- Suggest features with use cases
- Submit PRs with clear descriptions

## Powered By

This project is made possible thanks to the generous support and infrastructure provided by:

_Azure

_Cloudflare

_DeepSeek

_{LLaMA / Ollama}

_Mistral

_Nebius

_{Nebula Block}

_OpenAI

_Pollinations

_Scaleway