Gain visibility and control over your LLM usage. Any-LLM Gateway adds budgeting, analytics, and access management to Any-LLM, giving teams reliable monitoring for every provider.
Track usage, set limits, and deploy confidently on any LLM provider
It is difficult to manage the cost and large-scale reach of LLM. Provide users with unrestricted access and you risk excessive costs. Lock it down too much and you’ll slow down innovation. That’s why today we’re pleased to announce that we’ve open-sourced and are releasing no-llm-entrance,
We recently Version 1.0 released Of no-llm: A Python library that provides a consistent interface across multiple LLM providers (OpenAI, Anthropic, Mistral, your local model deployment, and more). Today we are excited to announce no-llm-entrance: A FastAPI-based proxy server that adds production-grade budget enforcement, API key management, and usage analytics on top of any LLM’s multi-provider foundation.
AnyLLM-Gateway sits between your application and LLM providers, exposing OpenAI-compliant completion APIs that work with any supported provider. Just specify the model using provider:model Format (eg, openai:gpt-4o-mini, anthropic:claude-3-5-sonnet-20241022) and the any-llm-gateway handles the rest, including streaming support with automatic token tracking.
key features
smart budget management
Create shared budget levels with automatic daily, weekly or monthly resets. Budgets can be shared among multiple users, applied automatically, or set to tracking-only mode. No manual intervention required.
Flexible API Key System
Choose between master key authentication (ideal for trusted services) or virtual API keys. Virtual keys can have expiration dates, metadata, and can be activated, deactivated, or revoked on demand, while automatically connecting with users for spend tracking.
end usage analytics
Each request is logged with full token count, cost (with a per-token cost configured by the administrator), and metadata. Track spend per user, view detailed usage history, and get the overview needed for cost attribution and chargebacks.
production ready deployment
Deploy in minutes with Docker, configure via YAML or environment variables, and scale with Kubernetes-ready built-in liveness and readiness checks.
launch
The fastest way to try any LLM-Gateway is to visit our quick startWhich guides you through configuration and deployment.
check us out documentation For a comprehensive guide on authentication, budget management, and configuration. We have also updated the Any-LLM SDK so you can easily connect to your gateway Customer,
Whether you’re building SaaS applications with tiered pricing, managing LLM access for a research team, or implementing cost controls for your organization, any LLM-Gateway provides the infrastructure you need to deploy, budget, monitor, and control LLM access with confidence.
Get started today: https://mozilla-ai.github.io/any-llm/gateway/quickstart/