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Unified LLM gateway with weighted load balancing, observability & cost tracking. 统一的 LLM 网关，提供权重负载均衡、可观测性与费用追踪。

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# LLMIO

English | [中文](README_cn.md)

LLMIO is a Go-based LLM load‑balancing gateway that provides a unified REST API, weighted scheduling, observability, and a modern admin UI for LLM clients (openclaw / claude code / codex / gemini cli / cherry studio / open webui). It helps you integrate OpenAI, Anthropic, Gemini, and other model capabilities in a single service.

**QQ group: 1083599685**

## Architecture

![LLMIO Architecture](https://raw.githubusercontent.com/atopos31/llmio/master/docs/llmio.svg)

## Features
- **Unified API**: Compatible with OpenAI Chat Completions, OpenAI Responses, Gemini Native, and Anthropic Messages. Supports both streaming and non‑streaming passthrough.
- **Weighted scheduling**: `balancers/` provides two strategies (random by weight / priority by weight). You can route based on tool calling, structured output, and multimodal capability.
- **Admin Web UI**: React + TypeScript + Tailwind + Vite console for providers, models, associations, logs, and metrics.
- **Rate limiting & failure handling**: Built‑in rate‑limit fallback and provider connectivity checks for fault isolation.
- **Local persistence**: Pure Go SQLite (`db/llmio.db`) for config and request logs, ready to use out of the box.
- **Session tracking**: Pass `session_id` in any request body (works with `extra_body` in OpenAI SDK) to tag logs with a session identifier. Filter and search by `session_id` in the admin UI or via `GET /api/logs?session_id=`.
- **Observability**: Every request is recorded with TraceID, latency breakdown (proxy / first-chunk / completion time), TPS, token usage (input / cached / output), and optional full IO logging. Per-request cost is calculated from configurable per-million-token prices (CNY / USD) and shown in the log detail view alongside provider and model metadata.

## Deployment

### Docker Compose (Recommended)
```yaml
services:
 llmio:
 image: atopos31/llmio:latest
 ports:
 - 7070:7070
 volumes:
 - ./db:/app/db
 environment:
 - GIN_MODE=release
 - TOKEN=<YOUR_TOKEN>
 - TZ=Asia/Shanghai
```
```bash
docker compose up -d
```

### Docker
```bash
docker run -d \
 --name llmio \
 -p 7070:7070 \
 -v $(pwd)/db:/app/db \
 -e GIN_MODE=release \
 -e TOKEN=<YOUR_TOKEN> \
 -e TZ=Asia/Shanghai \
 atopos31/llmio:latest
```

### Local Run
Download the release package for your OS/arch from [releases](https://github.com/atopos31/llmio/releases) (version > 0.5.13). Example for linux amd64:
```bash
wget https://github.com/atopos31/llmio/releases/download/v0.5.13/llmio_0.5.13_linux_amd64.tar.gz
```
Extract:
```bash
tar -xzf ./llmio_0.5.13_linux_amd64.tar.gz
```
Start:
```bash
GIN_MODE=release TOKEN=<YOUR_TOKEN> ./llmio
```
The service will create `./db/llmio.db` in the current directory as the SQLite persistence file.

## Environment Variables

| Variable | Description | Default | Notes |
|---|---|---|---|
| `TOKEN` | Console login and API auth for `/openai` `/anthropic` `/gemini` `/v1` | None | Required for public access |
| `GIN_MODE` | Gin runtime mode | `debug` | Use `release` in production |
| `LLMIO_SERVER_PORT` | Server listen port | `7070` | Service listen port |
| `TZ` | Timezone for logs and scheduling | Host default | Recommend explicit setting in containers (e.g. `Asia/Shanghai`) |
| `DB_VACUUM` | Run SQLite VACUUM on startup | Disabled | Set to `true` to reclaim space |

## Development

Clone:
```bash
git clone https://github.com/atopos31/llmio.git
cd llmio
```
Build frontend (pnpm required):
```bash
make webui
```
Run backend (Go >= 1.26.1):
```bash
TOKEN=<YOUR_TOKEN> make run
```
Web UI: `http://localhost:7070/`

## API Endpoints

LLMIO provides a multi‑provider REST API with the following endpoints:

| Provider | Path | Method | Description | Auth |
|---|---|---|---|---|
| OpenAI | `/openai/v1/models` | GET | List available models | Bearer Token |
| OpenAI | `/openai/v1/chat/completions` | POST | Create chat completion | Bearer Token |
| OpenAI | `/openai/v1/responses` | POST | Create response | Bearer Token |
| Anthropic | `/anthropic/v1/models` | GET | List available models | x-api-key |
| Anthropic | `/anthropic/v1/messages` | POST | Create message | x-api-key |
| Anthropic | `/anthropic/v1/messages/count_tokens` | POST | Count tokens | x-api-key |
| Gemini | `/gemini/v1beta/models` | GET | List available models | x-goog-api-key |
| Gemini | `/gemini/v1beta/models/{model}:generateContent` | POST | Generate content | x-goog-api-key |
| Gemini | `/gemini/v1beta/models/{model}:streamGenerateContent` | POST | Stream content | x-goog-api-key |
| Generic | `/v1/models` | GET | List models (compat) | Bearer Token |
| Generic | `/v1/chat/completions` | POST | Create chat completion (compat) | Bearer Token |
| Generic | `/v1/responses` | POST | Create response (compat) | Bearer Token |
| Generic | `/v1/messages` | POST | Create message (compat) | x-api-key |
| Generic | `/v1/messages/count_tokens` | POST | Count tokens (compat) | x-api-key |

### Authentication

LLMIO uses different auth headers depending on the endpoint:

#### 1. OpenAI‑style endpoints (Bearer Token)
Applies to `/openai/v1/*` and OpenAI‑compatible endpoints under `/v1/*`.
```bash
curl -H "Authorization: Bearer YOUR_TOKEN" http://localhost:7070/openai/v1/models
```

#### 2. Anthropic‑style endpoints (x-api-key)
Applies to `/anthropic/v1/*` and Anthropic‑compatible endpoints under `/v1/*`.
```bash
curl -H "x-api-key: YOUR_TOKEN" http://localhost:7070/anthropic/v1/messages
```

#### 3. Gemini Native endpoints (x-goog-api-key)
Applies to `/gemini/v1beta/*` endpoints.
```bash
curl -H "x-goog-api-key: YOUR_TOKEN" http://localhost:7070/gemini/v1beta/models
```

For claude code or codex, use these environment variables:
```bash
export OPENAI_API_KEY=<YOUR_TOKEN>
export ANTHROPIC_API_KEY=<YOUR_TOKEN>
export GEMINI_API_KEY=<YOUR_TOKEN>
```
> **Note**: `/v1/*` paths are kept for compatibility. Prefer the provider‑specific routes.

## Project Structure

```
.
├─ main.go              # HTTP server entry and routes
├─ handler/             # REST handlers
├─ service/             # Business logic and load‑balancing
├─ middleware/          # Auth, rate limit, streaming middleware
├─ providers/           # Provider adapters
├─ balancers/           # Weight and scheduling strategies
├─ models/              # GORM models and DB init
├─ common/              # Shared helpers
├─ webui/               # React + TypeScript admin UI
└─ docs/                # Ops & usage docs
```

## Screenshots

<table>
 <tr>
 <td align="center"><img src="./docs/home.jpeg" alt="Dashboard" /> Dashboard — Overview of request volume, token usage and provider metrics</td>
 <td align="center"><img src="./docs/with.jpeg" alt="Associations" /> Model Associations — Configure multiple providers per model with weight, capability filters and per-token pricing</td>
 </tr>
 <tr>
 <td align="center"><img src="./docs/log.jpeg" alt="Logs" /> Request Logs — Multi-dimensional search and filtering by model, status, TraceID, Session ID and more</td>
 <td align="center"><img src="./docs/chat-io.png" alt="Chat IO" /> Session IO — Inspect full request / response, latency breakdown and per-token billing detail for any log entry</td>
 </tr>
</table>

## License

This project is released under the MIT License.

## Star History

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