One API for your app. Many models underneath.
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.
Benefits of Multi-LLM Gateway for AppSec and AI
Swap the model without refactoring
Anthropic, OpenAI, Google, Mistral, Llama self-host, Qwen, Kimi, GLM — switch by policy, not code.
Routing by cost / latency / data
Define rules: heavy task → Opus; simple classification → Flash; regulated data → self-hosted model.
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.
Structured logs per tenant
Every call logged with tenant, applied policy, cost and latency. Ready for LGPD, GDPR and internal audit.
60-97% reduction vs single-vendor
Cost-optimal routing keeps quality while avoiding the priciest model for tasks that don't need it.
Native OpenTelemetry
Metrics, traces and logs plugged into your existing observability stack. No proprietary agent.
Delivery method for Multi-LLM Gateway
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
- ▸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
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.