What is an LLM Proxy?

An LLM proxy is a middleware service that sits between your application and LLM API providers like OpenAI, Anthropic, or Moonshot. It acts as a single gateway that handles model routing, rate limiting, usage tracking, API key management, and cost control -- so your application code does not need to deal with provider-specific complexity.

Think of it as a reverse proxy, but for AI model APIs. Your application sends requests to the proxy, and the proxy decides which provider to route to, tracks token usage, enforces spending limits, and streams responses back. If you switch models or providers, only the proxy configuration changes -- your application code stays the same.

LLM proxies are especially important in multi-tenant environments where different users or teams may have different models, rate limits, and usage caps. The proxy enforces these boundaries centrally rather than requiring each application to implement its own controls.

How an LLM Proxy Works

Request interception -- The proxy receives API calls from your application instead of the LLM provider
Authentication -- Validates the request using tenant tokens, API keys, or JWTs
Model routing -- Selects the appropriate provider and model based on configuration or request parameters
Usage tracking -- Counts tokens and records usage against budgets or caps
Cap enforcement -- Blocks requests that would exceed spending or usage limits
SSE streaming -- Passes streaming responses through chunk-by-chunk without buffering

Why LLM Proxies Matter

Without a proxy, every application needs to manage API keys, handle rate limits, track costs, and implement failover logic for each LLM provider independently. This leads to duplicated code, security risks from scattered API keys, and difficulty controlling spend. A centralized proxy solves all of these problems in one layer.

For SaaS platforms serving multiple tenants, an LLM proxy is essential. It ensures one tenant's usage does not affect another, enforces per-tenant caps, and keeps pooled API keys secure -- tenants never see the actual provider credentials.

How KiwiClaw Uses an LLM Proxy

KiwiClaw's architecture includes a dedicated LLM proxy service that routes all model requests from tenant agents. The proxy handles model routing between Moonshot (Auto tier) and Anthropic (MAX tier), enforces weekly usage caps, tracks token consumption in Redis, and streams responses via SSE. Pooled API keys live only in the proxy -- tenant machines authenticate using per-tenant JWTs and never see the actual provider keys.

Related Terms

Frequently Asked Questions

What is an LLM proxy?

An LLM proxy is a middleware service between your application and LLM providers that handles model routing, rate limiting, usage tracking, API key management, and cost control in a single centralized layer.

Why do you need an LLM proxy?

Without a proxy, every application must manage API keys, handle rate limits, track costs, and implement provider failover independently. A proxy centralizes these concerns, improves security by keeping API keys in one place, and enables per-tenant usage controls in multi-tenant environments.

How does KiwiClaw use an LLM proxy?

KiwiClaw routes all tenant agent LLM requests through a dedicated proxy that handles model routing between providers, enforces usage caps, tracks token consumption, and keeps pooled API keys secure. Tenant machines authenticate via JWTs.