ARBR

ARBR serves as a unified control plane for managing the growing complexity of large language model (LLM) applications. Key capabilities include: * Single OpenAI-compatible endpoint for all models * Request routing across multiple providers * Usage governance and budget enforcement * Observability for performance and cost tracking * Model evaluation and deployment management This platform allows developers to connect their applications once and gain comprehensive control over their underlying model stack. It simplifies the integration of diverse models and providers, enabling dynamic routing based on performance, cost, or other custom criteria. Teams can easily monitor usage, set spending limits, and ensure compliance across all model interactions. ARBR also offers robust tools for evaluating model outputs and managing the lifecycle of deployments, ensuring optimal application performance and reliability. It's designed to be provider-neutral, open-source, MIT-licensed, and self-hosted, giving users complete ownership and flexibility. Ideal for engineering teams building sophisticated language model applications who need a transparent, flexible, and scalable way to manage their model infrastructure, reduce vendor lock-in, and optimize operational costs.