LLM Gateway
Chat with any LLM, generate images, browse models and check your usage and costs.
ماذا يمكنك أن تفعل مع 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
التثبيت
أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: .cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).
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>'
{
"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>"
}
}
}
}
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
المحتويات
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
Install dependencies and set up the development environment:
pnpm i && pnpm run setupThis 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.
- Start development servers:
pnpm dev - Build for production:
pnpm build
Folder Structure
apps/ui: Next.js dashboard frontendapps/playground: Lounge — consumer AI chat app (Next.js)apps/code: Next.js Dev Plans + coding tools landing & dashboardapps/airside: Airside — self-serve provider portal (Next.js)apps/api: Hono backendapps/gateway: API gateway for routing LLM requestsapps/docs: Documentation siteee/admin: Internal admin dashboardpackages/db: Drizzle ORM schema and migrationspackages/models: Model and provider definitionspackages/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
الأسئلة الشائعة
ما هو LLM Gateway؟
Chat with any LLM, generate images, browse models and check your usage and costs.
كيف أثبّت LLM Gateway؟
يعمل كخادم بعيد. في 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>'. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.
هل يحتاج LLM Gateway إلى مفتاح API؟
نعم. يتطلب Authorization، وتضبطها في إعداداته.
هل LLM Gateway مفتوح المصدر؟
شيفرته علنية على GitHub، لكن المستودع لا يعلن ترخيصًا قياسيًا.
من يصون LLM Gateway؟
ينشره theopenco. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.