llm gateway

A high‑performance LLM gateway that helps AI engineers, fraud teams, and SaaS builders unify model access while solving the pain of rising LLM costs, inconsistent provider APIs, and the lack of enterprise‑grade routing, security, and observability.

Unified inference endpoints for chat completions and embeddings

Multi-provider backend support with configurable routing

Stable route slugs that decouple application code from provider model names

Route-level controls for system prompts, temperature, token limits, and failover providers

JWT and scoped API key authentication models

Provider and model allowlists for least-privilege access

In-memory rate limiting and request-size protection

Retry and circuit-aware failover behavior for upstream provider resilience

Redis-backed caching for repeated non-stream completions

Per-provider and per-model cost rule configuration

Usage analytics, request logs, API key analytics, and spend-group breakdowns

End-to-end audit logging for gateway-to-provider and provider-to-gateway traffic

For architects, the main value is separation of concerns. Product teams focus on application behavior, while platform teams retain centralized control over reliability, governance, security, and cost management. This makes llm gateway especially useful in environments where multiple teams, providers, and deployment standards need to coexist without creating fragmented AI integration patterns.