LLM Gateway

Registre officiel Médias et design

Chat with any LLM, generate images, browse models and check your usage and costs.

Que pouvez-vous faire avec LLM Gateway ?

  • Unified API Interface: Compatible with the OpenAI API format for seamless migration
  • Usage Analytics: Track requests, tokens used, response times, and costs
  • Multi-provider Support: Connect to various LLM providers through a single gateway
  • Performance Monitoring: Compare different models' performance and cost-effectiveness

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http llm-gateway 'https://api.llmgateway.io/mcp' --header 'Authorization: <LLM Gateway API key as '\''Bearer <api-key>'\''. Create one at https://llmgateway.io/dashboard>'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "llm-gateway": {
            "type": "http",
            "url": "https://api.llmgateway.io/mcp",
            "headers": {
                "Authorization": "<LLM Gateway API key as 'Bearer <api-key>'. Create one at https://llmgateway.io/dashboard>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. LLM Gateway
  2. Features
  3. Getting Started
  4. Development Setup
  5. Folder Structure
  6. Adding a provider
  7. License

LLM Gateway

LLM Gateway is an open-source API gateway for Large Language Models (LLMs). It acts as a middleware between your applications and various LLM providers, allowing you to:

  • Route requests to multiple LLM providers (OpenAI, Anthropic, Google Vertex AI, and others)
  • Manage API keys for different providers in one place
  • Track token usage and costs across all your LLM interactions
  • Analyze performance metrics to optimize your LLM usage

Features

  • Unified API Interface: Compatible with the OpenAI API format for seamless migration
  • Usage Analytics: Track requests, tokens used, response times, and costs
  • Multi-provider Support: Connect to various LLM providers through a single gateway
  • Performance Monitoring: Compare different models' performance and cost-effectiveness

Getting Started

You can use LLM Gateway in two ways:

  • Hosted Version: For immediate use without setup, visit llmgateway.io to create an account and get an API key.
  • Self-Hosted: Deploy LLM Gateway on your own infrastructure for complete control over your data and configuration.
Self-Hosted With Docker

Use Docker-managed volumes for the unified image. Do not bind-mount a host directory directly to /var/lib/postgresql/data, because PostgreSQL initialization inside the container needs to set permissions on that directory and that can fail depending on the host filesystem and ownership.

export LLM_GATEWAY_SECRET="$(openssl rand -base64 32 | tr -d '\n')"
export GATEWAY_API_KEY_HASH_SECRET="$(openssl rand -base64 32 | tr -d '\n')"
./scripts/run-unified-container.sh

If you prefer a one-off docker run, use named volumes instead of ~/some-host-dir:

docker volume create llmgateway_postgres
docker volume create llmgateway_redis

docker run -d \
  --name llmgateway \
  --restart unless-stopped \
  -p 3002:3002 \
  -p 3003:3003 \
  -p 3005:3005 \
  -p 3006:3006 \
  -p 3007:3007 \
  -p 4001:4001 \
  -p 4002:4002 \
  -v llmgateway_postgres:/var/lib/postgresql/data \
  -v llmgateway_redis:/var/lib/redis \
  -e AUTH_SECRET="$LLM_GATEWAY_SECRET" \
  -e GATEWAY_API_KEY_HASH_SECRET="$GATEWAY_API_KEY_HASH_SECRET" \
  ghcr.io/theopenco/llmgateway-unified:latest
Using LLM Gateway API
curl -X POST https://api.llmgateway.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LLM_GATEWAY_API_KEY" \
  -d '{
  "model": "gpt-4o",
  "messages": [
    {"role": "user", "content": "Hello, how are you?"}
  ]
}'

Development Setup

  1. Install dependencies and set up the development environment:

     pnpm i && pnpm run setup

    This will install all dependencies, start Docker services, sync the database schema, and seed initial data.

    Note for WSL2 users: Ensure Docker Desktop is running with WSL integration enabled.

  2. Start development servers:
     pnpm dev
  3. Build for production:
     pnpm build

Folder Structure

  • apps/ui: Next.js dashboard frontend
  • apps/playground: Lounge — consumer AI chat app (Next.js)
  • apps/code: Next.js Dev Plans + coding tools landing & dashboard
  • apps/airside: Airside — self-serve provider portal (Next.js)
  • apps/api: Hono backend
  • apps/gateway: API gateway for routing LLM requests
  • apps/docs: Documentation site
  • ee/admin: Internal admin dashboard
  • packages/db: Drizzle ORM schema and migrations
  • packages/models: Model and provider definitions
  • packages/shared: Shared types and utilities

Adding a provider

We do not accept pull requests that add new providers. Inference providers onboard through Airside, our self-serve provider portal, where you register and manage your model listings.

License

LLMGateway is available under a dual license:

  • Open Source: Core functionality is licensed under AGPLv3 - see the LICENSE file for details.
  • Enterprise: Commercial features in the ee/ directory require an Enterprise license; multi-organization administration requires a white-label license. See ee/LICENSE for details.
Enterprise features include:
  • Advanced billing and subscription management
  • Full request and response payload retention (Retain All Data); other plans are metadata only
  • Custom provider key configurations
  • Team and organization management
  • Priority support
  • And more to be defined

For enterprise licensing, please contact us at contact@llmgateway.io

Questions fréquentes

Qu'est-ce que LLM Gateway ?

Chat with any LLM, generate images, browse models and check your usage and costs.

Comment installer LLM Gateway ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http llm-gateway 'https://api.llmgateway.io/mcp' --header 'Authorization: <LLM Gateway API key as '\''Bearer <api-key>'\''. Create one at https://llmgateway.io/dashboard>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour LLM Gateway ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

LLM Gateway est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient LLM Gateway ?

Il est publié par theopenco. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.