https://github.com/tingly-dev/tingly-box

LLM proxy made by vibe coder for vibe coder.
https://github.com/tingly-dev/tingly-box

claude-code llm proxy

Last synced: 4 days ago
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LLM proxy made by vibe coder for vibe coder.

Host: GitHub
URL: https://github.com/tingly-dev/tingly-box
Owner: tingly-dev
License: mpl-2.0
Created: 2025-11-21T02:32:46.000Z (2 months ago)
Default Branch: main
Last Pushed: 2026-01-12T06:21:19.000Z (8 days ago)
Last Synced: 2026-01-12T08:14:40.732Z (8 days ago)
Topics: claude-code, llm, proxy
Language: Go
Homepage: https://tingly-dev.github.io/
Size: 4.61 MB
Stars: 47
Watchers: 0
Forks: 4
Open Issues: 26
Metadata Files:
- Readme: README.md
- License: LICENSE.txt

Awesome Lists containing this project

README

# Tingly Box

**Tingly Box** is a high‑performance desktop LLM proxy for personal or local use. It unifies access to hundreds of models from diverse providers through a single, unified API without locking you into any one vendor.

- **Credential Management**: Store and manage API keys, OAuth tokens, and other credentials in one place.
- **Flexible Routing & Model Switching**: Define custom routes, alias model names, and switch target models on the fly—no code changes needed.
- **Provider‑Agnostic Compatibility**: Seamlessly supports OpenAI, Anthropic, Google, and other API styles through a consistent interface.

> Think of Tingly Box as your personal *LLM gateway*—simplifying integration, boosting flexibility, and keeping your workflows future‑proof.

![Tingly Box Web UI Demo](./docs/images/output.gif)

## ✨ Key Features

- **Unified API** – Single OpenAI‑compatible endpoint for many providers
- **Load Balancing** – Distribute traffic across multiple API tokens using routing tactics
- **Auto API Translation** – Seamlessly translate between OpenAI‑ and Anthropic‑style APIs
- **OAuth Support** – Connect providers like Claude Code without API keys, use your existing quota anywhere
- **High Performance** – Additional latency typically **< 1ms**
- **JWT Authentication** – Separate user tokens and model tokens
- **Web Management UI** – Visual provider, routing, and model management

## 🚀 Quick Start

### Install

**From npm (recommended)**

```bash
# Install and run
npx tingly-box@latest start

# Or preview GUI version (MacOS ARM / M-Chip only)
npx tingly-box-gui@latest
```

**From source code**

*Requires: Go 1.21+, Node.js 18+, pnpm, task, openapi-generator-cli*

```bash
# Install dependencies
# - Go: https://go.dev/doc/install
# - Node.js: https://nodejs.org/
# - pnpm: `npm install -g pnpm`
# - task: https://taskfile.dev/installation/, or `go install github.com/go-task/task/v3/cmd/task@latest`
# - openapi-generator-cli: `npm install @openapitools/openapi-generator-cli -g`

git submodule update --init --recursive

# Build CLI binary
task go:build

# Build with frontend
task cli:build

# Build GUI binary via wails3
task wails:build
```

**From Docker (Github)**

```bash
mkdir tingly-data
docker run -d \
--name tingly-box \
-p 12580:12580 \
-v `pwd`/tingly-data:/home/tingly/.tingly-box \
ghcr.io/tingly-dev/tingly-box
```

**From Docker (Build from sketch)**

```bash
# Pull and run the NPX-based image (recommended - smaller size, auto-updates)
mkdir -p tingly-data
docker run -d \
--name tingly-box \
-p 12580:12580 \
-v `pwd`/tingly-data:/app/.tingly-box \
ghcr.io/tingly-dev/tingly-box:latest

# Or build the full image locally from source
docker build -t tingly-box:latest .

# Run container
docker run -d \
--name tingly-box \
-p 12580:12580 \
-v $(pwd)/data/.tingly-box:/app/.tingly-box \
-v $(pwd)/data/logs:/app/logs \
-v $(pwd)/data/memory:/app/memory \
tingly-box:latest
```

## **🔌 Use with OpenAI SDK or Claude Code**

**Python OpenAI SDK**

```python
from openai import OpenAI

client = OpenAI(
api_key="your-tingly-model-token",
base_url="http://localhost:12580/tingly/openai/v1"
)

response = client.chat.completions.create(
# To pass litellm model name validation, use "gpt-3.5-turbo"
model="tingly",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response)
```

**Claude Code**

```bash
# Settings file (~/.claude/settings.json)
{
"env": {
"DISABLE_TELEMETRY": "1",
"DISABLE_ERROR_REPORTING": "1",
"CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC": "1",
"API_TIMEOUT_MS": "3000000",
"ANTHROPIC_AUTH_TOKEN": "{content after tingly token cmd 'Current API Key from Global Config'}",
"ANTHROPIC_BASE_URL": "http://localhost:12580/tingly/claude_code",
"ANTHROPIC_DEFAULT_HAIKU_MODEL": "tingly/cc",
"ANTHROPIC_DEFAULT_OPUS_MODEL": "tingly/cc",
"ANTHROPIC_DEFAULT_SONNET_MODEL": "tingly/cc",
"ANTHROPIC_MODEL": "tingly/cc",
"hasCompletedOnboarding": true
}
}
```

> Tingly Box proxies requests transparently for SDKs and CLI tools.

**Using OAuth Providers**

You can also add OAuth providers (like Claude Code) and use your existing quota in any OpenAI-compatible tool:

```bash
# 1. Add Claude Code via OAuth in Web UI (http://localhost:12580)
# 2. Configure your tool with Tingly Box endpoint
```

Requests route through your OAuth-authorized provider, using your existing Claude Code quota instead of requiring a separate API key.

This works with any tool that supports OpenAI-compatible endpoints: Cherry Studio, VS Code extensions, or custom AI agents.

## 🖥 Web Management UI

```bash
npx tingly-box start
```

## 📚 Documentation

**[User Manual](./docs/user-manual.md)** – Installation, configuration, and operational guide

## **🧩 Philosophy**

- **One endpoint, many providers** – Consolidates multiple providers behind a single API with minimal configuration.
- **Seamless integration** – Works with SDKs and CLI tools with minimal setup.

## **🤝 How to Contribute**

We welcome contributions! Follow these steps, inspired by popular open-source repositories:

1. **Fork the repository** – Click the “Fork” button on GitHub.

2. **Clone your fork**

```bash
git clone https://github.com/your-username/tingly-box.git
cd tingly-box
```

3. **Create a new branch**

```bash
git checkout -b feature/my-new-feature
```

4. **Make your changes** – Follow existing code style and add tests if applicable.

5. **Run tests**

```bash
task test
```

6. **Commit your changes**

```bash
git commit -m "Add concise description of your change"
```

7. **Push your branch**

```bash
git push origin feature/my-new-feature
```

8. **Open a Pull Request** – Go to the GitHub repository and open a PR against `main`.

## 📞 Support

## 🤲 Contributors

Special badges are given to following contributors:

---

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

https://github.com/tingly-dev/tingly-box

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README