Sarrera Introduces Self-Hosted Enterprise AI Inference Gateway with RBAC, Token Quotas and Telemetry
alignment inference
| Source: Dev.to | Original article
A new guide details how to deploy a self‑hosted enterprise AI inference gateway with role‑based access control, token quotas and telemetry using LiteLLM, Caddy, Langfuse and Open WebUI.
A new open‑source project called **Sarrera** provides a self‑hosted gateway that lets engineering teams run large‑language‑model inference behind their own firewall while enforcing role‑based access control (RBAC), token‑usage quotas and detailed telemetry. The reference implementation stitches together four existing components – LiteLLM for policy‑driven token limits, Caddy as a reverse‑proxy and TLS terminator, Langfuse for observability, and Open WebUI as a lightweight front‑end – and ships with scripts that automate the full deployment on a private server.
The announcement matters because it addresses a growing demand for on‑premise AI services that can be audited and cost‑controlled. By keeping prompts and completions inside the corporate network, organisations avoid the data‑privacy concerns of public APIs. The built‑in RBAC lets administrators assign different quota tiers to developers, product teams or external partners, while Langfuse‑driven telemetry offers real‑time insight into request latency, token consumption and error rates. For teams that have already adopted token‑compression techniques or fine‑tuned inference engines – topics we covered in recent pieces on Codex cost reductions and the Magnitude inference engine – Sarrera offers a plug‑and‑play layer that can sit on top of any model endpoint.
Looking ahead, the community will likely test Sarrera against a range of model providers and scale it to edge‑oriented hardware such as Google’s EdgeTPU, echoing trends in predictive‑analytics deployments on fog and edge devices. Security hardening will be a focal point, especially as roles expand to include dedicated security engineers tasked with vulnerability management for AI gateways. Watch for updates on integration with enterprise identity providers, expanded quota policies and broader telemetry dashboards as the project matures.
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