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LLM GATEWAY
INFRASTRUCTURE FOR ENGINEERS

LLM Reliability,
Control, and Audit
— as Infrastructure

A production-grade gateway that sits between your application and LLM providers, enforcing reliability, cost control, safety evaluation, and compliance.

Retry, backoff, circuit breakers
Rate limiting & token budgets
Immutable audit logs
Async execution & observability
App -> Gateway -> LLM Diagram

THIS IS

  • 1
    An LLM GatewayCentralized control point for all LLM traffic.
  • 2
    A Reliability Control PlaneEnforces guarantees before requests hit providers.
  • 3
    Infrastructure LayerBackend-only middleware for your stack.

THIS IS NOT

  • 1
    A Chat UINo frontend for end-users. API only.
  • 2
    A Reasoning EngineWe don't think. We route and control.
  • 3
    A RAG PlatformBring your own vector database.

LLMs are unreliable by default.

This system exists because production systems need guarantees that raw APIs cannot provide.

API Failures

429s, 5xx errors, and random outages are common.

Cost Explosions

Infinite loops and abuse can drain budgets in minutes.

Compliance Black Holes

No native audit trail for enterprise requirements.

Zero Visibility

Opaque usage patterns across engineering teams.

Unsafe Evaluations

No way to re-run evals without re-generating.

Tenant Leaks

Lack of isolation between different customer data.

Core Capabilities

Reliable LLM Proxy

Ensures requests complete even when providers stutter.

  • Retries & Backoff
  • Circuit Breakers
  • Fail-open/closed logic

Rate Limiting

Granular control over traffic flow with Redis backing.

  • Workspace-level
  • API-key-level
  • IP-level enforcement

Token & Cost Budgets

Prevent bill shock before the request is even sent.

  • Hard enforcement
  • Daily/Monthly limits
  • Cost estimation

Safety Evaluation

Real-time analysis of inputs and outputs for safety.

  • Heuristic checks
  • LLM-as-judge
  • Risk scoring

Immutable Audit Trail

Every interaction logged permanently for audit.

  • Append-only DB
  • DB-level triggers
  • Compliance-ready

Evaluation Versioning

Track quality changes over time deterministically.

  • Historical comparison
  • Re-run capability
  • No overwrites

Retention & Cleanup

Automated data lifecycle management.

  • Scheduled jobs
  • Per-workspace policies
  • GDPR-ready

Observability

Deep visibility into system health and performance.

  • Prometheus metrics
  • Structured logs
  • PII scrubbing

System Architecture

Async by Design

Request → Immediate Response → Background Evaluation. Critical path is decoupled from heavy analysis tasks.

Stack Components

  • • Next.js Backend (Edge ready)
  • • PostgreSQL + Prisma (Data layer)
  • • Redis (Rate limiting & Queues)
  • • BullMQ (Worker orchestration)

Observability

Prometheus-style metrics and Sentry error tracking integrated at the core.

System Architecture Diagram

Verification & Correctness

"If this breaks, we know exactly how and why."

Untrusted by Default

The system assumes failure. It is verified by rigorous tests, database constraints, and runtime assertions.

Failure Simulation

We test against Redis outages, DB locks, and provider downtime. Degraded modes are first-class citizens.

Strict Constraints

Unique keys, foreign key constraints, and DB-level triggers ensure data integrity cannot be compromised by app bugs.

Intentional Limitations

No Reasoning Sessions
No RAG
No Streaming
No Multimodal
No Fine-tuning
No User UI

This is intentional.

Ideal For

  • SaaS Teams building production AI features
  • Infra-heavy products requiring guarantees
  • Regulated environments (Fintech, Health)
  • Cost-sensitive startups

Not For

  • Hobbyists building chat bots
  • Teams needing a "magic" solution
  • Research/Academic experimentation

Deployment Philosophy

Dockerless First

Runs on bare metal or standard node environments.

Managed Services

Designed for managed Postgres & Redis.

Platform Agnostic

Deploy on Railway, Render, AWS, or VPS.

Env Driven

12-factor app configuration.

This system does not make LLMs smarter.

It makes them safe, observable, and controllable in production.

No Signup. No Email. Just Code.