One governed endpoint for every frontier model.
GPT-4o, Claude, Gemini, and every frontier model you use — behind a single OpenAI-compatible endpoint with spend controls, guardrails, and a full audit trail. Add new providers in minutes, never change application code.
Governance for frontier model access at every layer.
Instant Provider Onboarding
Add a new frontier provider — GPT-4o, Claude 3.5, Gemini 1.5 Pro — in a single config block. No code changes, no redeployments. Teams get access to new models as soon as the provider is declared.
Unified Frontier Endpoint
A single OpenAI-compatible base URL serves GPT, Claude, Gemini, and any other configured frontier model. Route by alias, team, or request metadata — transparent to calling applications.
Spend Controls
Per-team and per-key monthly spend budgets enforced in real time. Hard limits stop overspend before it happens; soft alerts notify teams as they approach thresholds. No surprise invoices.
Guardrails & PII Firewall
Content screening and PII detection applied before any request reaches a frontier provider. Enforce prompting policies, restrict sensitive content categories, and log every guardrail decision.
Zero Vendor Lock-In
Provider credentials live in your secrets manager. No per-token markup from ManyLayers — you pay providers at their published list rates. Swap the default frontier provider with a config change.
Full Observability
Every frontier model request logged with provider, model, latency, token counts, and cost. Prometheus metrics, Grafana dashboards, and export to your data warehouse or SIEM.
Live with governed frontier access in under ten minutes.
Add provider credentials
Declare your OpenAI, Anthropic, and Google API keys in the gateway config. ManyLayers validates connectivity and adds each provider to the routing pool.
Define model aliases and team access
Map model aliases (e.g. 'gpt-4o-prod') to specific provider-model pairs. Assign aliases to teams with budget caps and guardrail profiles.
Point clients at the gateway
Change one environment variable — your OpenAI SDK base URL — and every frontier model call routes through the governed gateway. No further code changes.
Provider flexibility without architectural complexity.
Evaluating a new frontier model should be a config change, not a sprint. ManyLayers makes provider onboarding instant and rollback equally fast — so your teams can test Claude against GPT-4o on real traffic and ship the winner without infrastructure changes.
- Supports GPT-4o, GPT-4.1, Claude 3.5/3.7, Gemini 1.5/2.0, and every major frontier family
- Sub-millisecond routing overhead — no measurable impact on end-to-end latency
- Fallback chains: if GPT-4o is degraded, route transparently to Claude or Gemini
- Semantic cache reduces redundant frontier calls by 20–40% on chat workloads
- Audit log records provider, model, tokens, cost, and guardrail outcome per request
“We evaluated four frontier models on live traffic in two days. The canary routing and per-model cost tracking gave us exactly the data we needed to make a confident decision — without any production risk.”
Engineering Director — B2B SaaS Company