LLM Gateway

One API to rule all models. Route traffic by region, control spend, stay compliant—without touching a single line of client code.

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unified llm apimulti-provider ai gatewayopenai-compatible endpointai guardrailsregional ai routingllm cost managementllmops

Features of LLM Gateway

Single endpoint that swaps between OpenAI, Claude, Gemini, Mistral or your own model with zero client changes

Geo-aware routing plus tamper-proof audit logs for GDPR, HIPAA, SOC-2 compliance

Envoy-based traffic layer with SSO, RBAC and full request lineage

AI Guardrails block jailbreaks, filter PII and score every response for quality

Automated Oversight for KYC, credit and payment flows to cut risk and chargebacks

FinOps dashboards: cost per model, token and concurrent request with hard budget caps

Central model catalog—A/B test versions, track usage and retire models from one pane

Drop-in OpenAI replacement: works in Azure, AWS, GCP or on-prem

Use Cases of LLM Gateway

Ship enterprise apps faster by calling one gateway instead of wiring N vendor SDKs

Benchmark model speed, quality and price to pick the best LLM for each workload

Enforce company-wide AI policies—who can call what, where and how much they can spend

Keep EU data in the EU and US data in the US while logging every prompt for auditors

Guard high-risk fintech flows (credit decisions, payments) with real-time oversight

Plan GenAI budgets, allocate tokens per team and prove ROI to finance

FAQ about LLM Gateway

QWhat is LLM Gateway?

A proxy layer that exposes one OpenAI-compatible endpoint and routes requests to any model provider while adding governance, security and cost controls.

QWhich providers are supported?

OpenAI, Anthropic Claude, Google Gemini, Mistral and any custom model served over REST or gRPC.

QHow does regional routing and audit work?

The gateway pins traffic to the closest compliant region and writes an immutable audit trail of every request and response.

QIs it compatible with the OpenAI API?

Yes—change the base URL and keep your existing code; the gateway handles translation to other providers behind the scenes.

QHow do I control costs?

Set monthly, daily or per-request budgets per model, token volume or concurrent limit. Alerts and hard caps trigger automatic throttling.

QWhat are the main use cases?

Enterprise multi-model adoption, LLMOps, cross-team governance and regulated scenarios that need full auditability.

QWhat do AI Guardrails do?

They enforce content policies, strip sensitive data, block prompt injection and continuously score outputs for hallucination risk.

QWhat is Automated Oversight?

Rule-based watchers that flag or halt requests in KYC, credit or payment workflows to guarantee traceability and compliance.

QHow can I deploy it?

Kubernetes Helm chart for self-hosted or managed SaaS in any cloud—your data stays in your VPC or ours.

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