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Anteroom

Anteroom is an open-source, self-hosted enterprise AI gateway with a web UI and agentic CLI. It supports multiple LLM providers and ships with configurable audit logging and data governance, letting organizations run AI inside a fully controlled environment.
self-hosted AI gatewayopen-source enterprise AIagentic CLIaudit logs and DLPOWASP ASVS L2Ollama Azure support

Features of Anteroom

Open-source, self-hosted AI gateway deployed inside your network for full data control
Web UI for everyday users and agentic CLI for developers
Compatible with OpenAI-compatible APIs, Azure, Ollama and on-prem model endpoints
Zero-telemetry design—data is sent only to the LLM endpoints you choose
HMAC-chained audit logs plus configurable DLP policies for traceability and governance
Token-budget controls with per-request, per-user and daily quotas plus alerts & blocking
Agentic toolbox: file editing, bash, code search, sub-agents and planner mode
Single SQLite backend and unified team config shared by web and CLI under one security layer

Use Cases of Anteroom

Deploy internal chat & assist inside regulated or data-sensitive environments to reduce external leakage
Engineers automate code edits, run commands and chain multi-step sub-agent tasks via the CLI
Product managers and writers draft docs, run competitive analysis and create slide decks in the web UI
Compliance and risk teams audit every AI interaction, enforce DLP rules and export verifiable trails
Executives prepare meetings, analyze strategy and review documents with an internal, governed AI
Marketing teams generate campaign assets inside department sandboxes that respect brand guidelines
Ops plug in Ollama or local models for fully on-prem inference without external calls

FAQ about Anteroom

QWhat is Anteroom?

Anteroom is an open-source, self-hosted enterprise AI gateway that offers a web UI and an agentic CLI. It lets organizations use AI with multiple LLM providers inside a controlled environment while keeping full audit logs.

QHow do I get Anteroom running quickly?

Install with pip install anteroom && aroom init, then follow the docs to self-host on an internal server or container and connect your preferred LLM endpoints.

QIs Anteroom free or paid?

The project is open-source under Apache 2.0. Commercial support or managed offerings may be available—check the official site for details.

QHow does Anteroom handle data and privacy?

Zero telemetry by design: traffic goes only to the LLM endpoints you select or to local models. HMAC-chained audit logs and DLP rules provide governance.

QWhich models and cloud services are supported?

Any OpenAI-compatible API, plus Azure, Ollama, and internal model endpoints you configure.

QWhat can the agentic CLI do?

It ships with tools for file editing, sandboxed bash, code search, sub-agents and planner mode—ideal for multi-step developer workflows.

QHow do I control cost and quotas?

Set token budgets per request, per user and per day. Alerts or hard blocks kick in when limits are exceeded.

QWho should use Anteroom?

Any organization that needs governed AI inside its own network—engineering, product, compliance, security, marketing and executive teams alike.

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