Warning
The API is still under beta version, major breaking changes may occur.
OpenGateLLM is an open-source, production-ready API gateway for Generative AI.
It centralizes, secures, and governs access to AI models across your organization, enabling teams to focus on building high-value AI applications instead of managing infrastructure complexity and data security risks.
Designed for organizations that require full control over their data and infrastructure, OpenGateLLM is optimized for self-hosted models. It provides a sovereign and cost-effective foundation to deploy, manage, and scale Generative AI securely — without vendor lock-in.
Tip
OpenGateLLM, as API gateway, is an alternative to LiteLLM, TensorZero, OpenRouter and others, dedicated to self-hosted IA infrastructure.
OpenGateLLM addresses three critical challenges for organizations:
- Accelerate AI adoption – Remove barriers to integrating AI within your organization
- Cost control - Reduce expenses of commercial APIs and GPU infrastructure by using self-hosted models and build a mutualized infrastructure with your peers without vendor lock-in.
- Data sovereignty - Keep sensitive data under your control
- Privacy & security - No chat history storage, robust access control
- Open source and free forever - All features available without commercial licensing
- High code quality - Built with maintainability and reliability in mind
- Lightweight architecture - Focused feature set for optimal performance
- High compatibility - Seamlessly integrates with GenAI ecosystem frameworks by OpenAI-compatible API
- Production-ready - Engineered to handle high loads with advanced QoS features
Deploy and start using OpenGateLLM in minutes with our quickstart guide here.
This project exists thanks to all the people who contribute. OpenGateLLM thrives on open-source contributions. Join our community!
Check out our Contribution Guide to get started.
OpenGateLLM is still under beta version, major breaking changes may occur. Check our current roadmap here to see what we are working on.
