LLM Gateway: Route, Manage & Analyze LLM Requests

Introducing LLM Gateway: Your Intelligent Hub for LLM Operations

LLM Gateway is a developer-first orchestration layer designed to unify, optimize, and introspect AI inference traffic. It acts as a smart proxy—routing prompts intelligently across dozens of LLM providers (OpenAI, Anthropic, Google, Groq, Ollama, and more), enforcing policies, capturing granular telemetry, and abstracting complexity—all through a single, OpenAI-compatible API endpoint.

Getting Started in Seconds

Integration takes under a minute: swap your current OpenAI base URL (`https://api.openai.com/v1`) with `https://api.llmgateway.io/v1`, inject your LLM Gateway API key, and keep your existing SDKs and logic untouched. Whether you're building with Python’s `openai` client, Next.js App Router, Rust’s reqwest, or Java Spring Boot—the transition is invisible. Behind the scenes, LLM Gateway handles provider selection, fallback strategies, token accounting, and real-time observability.

Built for Scale, Security & Insight

OpenAI-API-Native Interface

Multi-Provider Load Balancing & Fallback

Per-Request Analytics Dashboard (latency, tokens in/out, cost attribution, model choice)

Real-Time Performance Heatmaps & Anomaly Detection

Fine-Grained API Key Permissions & Scoped Access Tokens

Zero-Trust Self-Hosting (Docker/Kubernetes) or Managed Cloud

Intelligent Model Routing Engine (based on latency SLA, cost thresholds, or quality signals)

Drop-in SDK Support Across 10+ Languages & Frameworks

Where Teams Deploy LLM Gateway

Consolidating fragmented LLM vendor integrations into one auditable, governable pipeline.

Enabling FinOps for AI—tracking spend by team, project, model, or prompt category in real time.

Future-proofing applications against vendor lock-in or API breaking changes.

Running private, air-gapped LLM gateways for compliance-sensitive workloads (HIPAA, SOC2, GDPR).

A/B testing models side-by-side—measuring accuracy, speed, and cost per task—not just per token.

Frequently Asked Questions

How does LLM Gateway compare to OpenRouter?

• Support & Contact

  Reach our engineering-led support team at [email protected]. For urgent issues, enterprise SLAs, or refund inquiries, visit our Contact page.

• About the Project

  LLM Gateway is developed and maintained by The Open Co., a public-benefit open-source collective focused on infrastructure transparency and AI interoperability.

• Log In to Your Dashboard

  Access your analytics, keys, and routing rules: https://llmgateway.io/login

• Start Free — No Credit Card Required

  Sign up instantly and begin routing requests: https://llmgateway.io/signup

• Follow Our Development

  Join the conversation on X (Twitter): https://x.com/llmgateway

• Contribute & Audit the Code

  Explore, fork, and audit the full MIT-licensed codebase: https://github.com/theopenco/llmgateway

FAQ from LLM Gateway

What is LLM Gateway?

LLM Gateway is an open, extensible control plane for generative AI infrastructure—empowering teams to route, govern, monitor, and optimize LLM traffic across heterogeneous backends without rewriting application logic.

How do I integrate it?

Point your existing OpenAI-compatible client to `https://api.llmgateway.io/v1`, authenticate with your LLM Gateway API key, and let the gateway handle provider dispatch, retry logic, logging, and cost attribution—transparently and at scale.

What sets LLM Gateway apart from OpenRouter?

LLM Gateway prioritizes operational autonomy: fully self-hostable, MIT-licensed, with no enforced vendor markup—even on paid tiers. Its analytics go deeper (per-prompt cost allocation, response-time percentiles, model-level drift detection), and its routing engine supports custom policies (e.g., “route coding queries to Claude-3.5-sonnet unless latency > 800ms, then fallback to Groq”).