---
title: "Multi-LLM gateway: one API, many models - OkamiOps"
description: "One API. Multiple models. Routing by cost, latency and data policy. One API. 12 models underneath. Routing by cost, latency or regulated-data policy —"
url: https://okamiops.com/servicos/gateway/
lang: en
alternates:
  en: https://okamiops.com/servicos/gateway/
  pt-BR: https://okamiops.com/pt/servicos/gateway/
  de: https://okamiops.com/de/servicos/gateway/
  x-default: https://okamiops.com/servicos/gateway/
lastmod: 2026-09-10
---

# One API for your app. Many models underneath.

SVC · 02 · GATEWAY

One API. 12 models underneath. Routing by cost, latency or regulated-data policy — with automatic fallback and auditable logs. Swap vendors without rebuilding the pipeline. No vendor lock-in. No proprietary agent.

- [Read the architecture](https://okamiops.com/servicos/gateway/#metodo)

- **Phase 01**: PoC Gateway setup in staging with 2-3 models, integration with your app and baseline measurement.
- **Phase 02**: Policy Routing rules by task type, data and SLA — with comparative cost/latency table.
- **Phase 03**: Production Production deploy with fallback chain, audit logs and cost/latency/quality dashboards.
- **Phase 04**: Evolution Continuous addition of new models, policy tuning and monthly savings reports.

## Benefits of Multi-LLM Gateway for AppSec and AI

One API. Multiple models. Routing by cost, latency and data policy.

NO LOCK-IN

### Swap the model without refactoring

Anthropic, OpenAI, Google, Mistral, Llama self-host, Qwen, Kimi, GLM — switch by policy, not code.

POLICY ENGINE

### Routing by cost / latency / data

Define rules: heavy task → Opus; simple classification → Flash; regulated data → self-hosted model.

FALLBACK

### Automatic 3+ level chain

If the primary provider fails, latency spikes or quota runs out — the gateway escalates to the next without losing the request.

AUDIT-READY

### Structured logs per tenant

Every call logged with tenant, applied policy, cost and latency. Ready for LGPD, GDPR and internal audit.

SAVINGS

### 60-97% reduction vs single-vendor

Cost-optimal routing keeps quality while avoiding the priciest model for tasks that don't need it.

OBSERVABILITY

### Native OpenTelemetry

Metrics, traces and logs plugged into your existing observability stack. No proprietary agent.

## From PoC to production-grade

### PoC

Gateway setup in staging with 2-3 models, integration with your app and baseline measurement.

### Policy

Routing rules by task type, data and SLA — with comparative cost/latency table.

### Production

Production deploy with fallback chain, audit logs and cost/latency/quality dashboards.

### Evolution

Continuous addition of new models, policy tuning and monthly savings reports.

## Multi-LLM Gateway deliverables

// deliverables

One API. Multiple models. Routing by cost, latency and data policy.

- Gateway provisioned in your infra or managed multi-tenant
- Pre-integrated model pack (Anthropic, OpenAI, Google, Mistral, Qwen, Kimi, GLM)
- Policy templates per use case (chat, classification, structured generation, embeddings)

- Audit log streaming to your SIEM
- Cost and latency dashboard
- Operational runbook and documented SLA

## Multi-LLM Gateway FAQ

// frequently asked

- **Benefits**: 6
- **Phases**: 4
- **Deliverables**: 6
- **FAQ**: 3

**Can I self-host it?**

Yes. The Gateway can run in your VPC, your own Kubernetes or managed multi-tenant by us. No sensitive data leaving your perimeter.

**How does fallback work?**

Each policy defines an ordered chain. If the primary returns an error, timeout or exhausted quota, the gateway tries the next automatically — logging the reason.

**Does it support local models?**

Yes. Llama, Mistral and Qwen self-hosted are natively supported via OpenAI-compatible API.

## Ready to escape vendor lock-in?

In 2 weeks you'll run a PoC with 3 models and real cost, latency and quality metrics.

- [All services and plans](https://okamiops.com/servicos/)