Provides a control layer for AI stacks
Gives applications one control layer across an AI stack with multiple models, providers, costs, and decisions.
Coding / product dossier
A self-hosted OpenAI-compatible layer to route, govern, observe, evaluate, and deploy across models.
Product brief
AI stacks are getting more complex with more models, providers, costs, and decisions. ARBR gives your applications one control layer across your AI stack. Connect once through an OpenAI-compatible endpoint to route, govern, observe, evaluate, and deploy across AI models. Open source, MIT-licensed, provider-neutral, and self-hosted.
Why we selected it
Provides a technically substantive control plane for teams managing model, provider, governance, evaluation, and observability complexity.
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Capability scan
Only capabilities supported by the product information we collected are listed here.
Gives applications one control layer across an AI stack with multiple models, providers, costs, and decisions.
Routes requests across AI models through an OpenAI-compatible endpoint.
Provides governance and observation capabilities across AI models.
Provides evaluation and deployment capabilities across AI models.
Best-fit use cases
FAQ
ARBR is a control layer for applications operating an AI stack with models, providers, costs, and decisions.
ARBR provides an OpenAI-compatible endpoint for connecting once to route, govern, observe, evaluate, and deploy across AI models.
The product description lists routing, governance, observability, evaluation, and deployment.
No. ARBR is described as provider-neutral.
Yes. It is described as open source, MIT-licensed, and self-hosted.