The AI Gateway for developers.
Route to hundreds of AI models through a single endpoint. Built-in failovers, per-user auth, cost controls, and enclave-aware execution.
1import2 { streamText }3from4 'ai'56const7 result =8streamText9({10 model:11'openai/gpt-4o'12,13 prompt:14'Why is the sky blue?'15})
One API key. Hundreds of models.
Unified billing and observability across your entire AI stack. Text, image, code, and embedding models from every major provider.
Text
Access the latest from every major model lab. Power your AI features through a single endpoint.
Image
Generate and edit with best-in-class image models. DALL-E, Imagen, Stable Diffusion, and more.
Code
Specialized code generation models. Codestral, Code Llama, and OpenAI code-optimized variants.
Embeddings
Vector embeddings for search, retrieval, and classification. OpenAI, Cohere, and Voyage models.
One endpoint, all your models
Unified billing and observability across your entire AI stack. Switch providers by changing a string, not your architecture.
Built-in failovers, better uptime
Automatic fallbacks during provider outages. Your app stays up even when a model goes down. Configurable retry chains.
More than a proxy. A control plane.
Per-user auth, service-account auth, policy enforcement, kill switch, and deep enclave integration. The secure layer for AI traffic.
Every request. One governed path.
From inbound request to audit entry, the gateway controls identity, policy, routing, and observability at every stage.
Client sends request
An app, agent, service, or enclave sends an AI model request to the gateway endpoint.
The gateway governs. Enclaves isolate.
Simple prompts route to providers. Tool-using agents route to enclaves. Outbound requests from enclaves re-enter the policy path. Together, they form the control plane and trust boundary for agentic systems.
Straightforward model calls go directly to a provider through the gateway. Auth, policy, and audit still apply.
Every request has an identity.
Per-user tokens, service accounts, and enclave identities. The gateway knows who is calling, what they can access, and how much they can spend.
Per-user auth
Every request carries user identity. Limits, model access, and audit are attributed to a real person.
Internal copilots, chat apps, user-facing AI products
Service-account auth
Workloads and backends authenticate as services. Policies scope by service role.
Batch jobs, background agents, integrations, scheduled workflows
Enclave identity
Enclaves have execution identities. Requests are tagged with enclave, session, and workload metadata for full traceability.
Tool-using agents, isolated code execution, risky automation
Policy-driven model governance.
Route across providers, enforce per-tenant policy, manage fallback chains, cache responses, and control spend. All from one configuration layer.
Provider selection by policy
Route by region, model capability, cost, or workload type
Primary/secondary failover
Automatic fallback when primary provider is unavailable
Canary model rollout
Route a percentage of traffic to a new model for evaluation
Conditional routing
Route based on request metadata, user role, or tenant config
Internal model endpoints
Route to self-hosted or private models alongside external providers
Cost, latency, failures. One dashboard.
See every request, every token, every dollar. Track provider health, cache hit rates, fallback events, and policy decisions in real time.
One switch. Every route severed.
Shut down all model traffic instantly. Disable specific routes, freeze tenants, revoke tokens, and force fallback to safe mode. Every revocation is logged.
Sever every outbound route instantly
Disable one provider while others continue
Freeze a single tenant without affecting others
Revoke a specific service identity
Built for every AI workload.
From internal copilots to agentic systems, the gateway adapts to your auth model, routing needs, and security requirements.
Internal enterprise copilots
Per-user identity and model access by role. Spend visibility by team. Full audit trail by user.
Backend AI workloads
Service-account auth with retries, fallbacks, quotas, and budget enforcement. Region-aware provider routing.
Agentic applications
Tool-using requests route through gateway into enclaves. Isolated execution. Outbound actions remain governed.
Multi-tenant AI platforms
Tenant-aware limits, policy packs per customer, usage metering, and model portfolio management.
Security-sensitive automation
Dangerous tasks forced into enclaves. Kill switch for incidents. Strict destination restrictions. Full logging.
More than a proxy. A control plane.
Many gateways offer routing and observability. Celeris adds enclave-aware execution, unified identity, security policy, and trust-boundary control.
| Solution | Provider routing | Model fallbacks | Caching | Rate limiting | Per-user auth | Service-account auth | Unified audit trail | Kill switch | Enclave integration | Workload isolation | Policy-aware tool execution | Trust-boundary enforcement |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Direct provider SDKs | ||||||||||||
| OpenAI-compatible proxy | ||||||||||||
| Observability-only tools | ||||||||||||
| Routing-only gateways | ||||||||||||
| Enclave-only isolation | ||||||||||||
| Celeris AI Gateway |
Build your AI control plane on Celeris.
Secure model traffic, govern usage, and connect AI workloads to enclaves in one unified layer.