Stable integration surface
Model aliases and route pools absorb changes to provider names, keys, quotas, and regional endpoints.
For CTOs and platform leaders
Give builders one reliable AI interface while the market keeps changing.
Separate application delivery from provider churn with compatible APIs, capability checks, and centrally operated routes.
OpenAI and Anthropic-compatible runtime APIs
Streaming and explicit route capability profiles
Safe fallback and model alias changes without application redeploys
In plain language
Let applications depend on an internal model contract, not a vendor's current catalog.
Applications call a stable OpenAI- or Anthropic-compatible path and a company-owned model alias. Platform operators change credentials, providers, versions, and fallbacks behind that contract when the exact payload and capability profile has been validated.
The engineering outcomeProvider churn becomes a platform configuration change instead of a synchronized application migration.
For the operating team
Operate compatibility as a tested contract.
Compatibility is specific to client, endpoint, payload, streaming mode, tools, and model—not a blanket logo claim.
What administrators configure
Client contract
Document endpoint, authentication, model alias, payload features, streaming behavior, and error expectations.
Route profile
Declare capabilities and only include targets that have passed the required conformance path.
Change safety
Use bounded fallback, health cooldown, audit history, and staged policy modes for production changes.
What happens to each request
- 01Authenticate
Resolve the tenant, workload key, user context, and client mode before considering a provider.
- 02Constrain
Remove targets that violate model, capability, budget, risk, or environment policy.
- 03Select
Rank eligible credentials and models by the configured priority, weight, health, or estimated request cost.
- 04Reconcile
Serve a governed exact-cache hit or call the selected provider, then record the decision and reconcile reserved budget.
See the working control
Bring accounts under control without returning their keys.
The console identifies each upstream account and its health while provider secrets remain write-only.
- Rendered by the real customer console and control API
- Exercised with safe OpenAI- and Anthropic-compatible simulators
- Sanitization gate rejects credential-shaped values and private owner email
The console identifies each upstream account and its health while provider secrets remain write-only.
Control surface
Useful on day one. Explainable on day one hundred.
Each control has an operating path, an owner, and evidence that can be reviewed without collecting prompt bodies by default.
Performance you can inspect
Request evidence records provider and gateway latency without inventing an unmeasured marketing number.
Platform controls as code
Use the API and console today. A public Terraform provider and customer-delivered signed offline bundles are not currently included.
Evidence, not assertions
Measure the gateway and upstream path separately.
Request evidence records gateway timing, selected target, upstream outcome, and fallbacks without inventing a universal latency claim.
Review security boundaries and current status- Reason-coded policy, route, retry, fallback, and denial metadata
- Bounded tool names, types, MCP hosts, and authorization outcomes—without schemas, arguments, or results
- Provider-reported usage reconciliation for complete responses and supported terminal streams
- Tenant-bound credential encryption and fail-closed tenant authorization
- Signed, retryable administrative audit delivery with payloads and configuration snapshots excluded
- Clear labels separating available controls from items that still require validation
Questions teams ask
Know the boundary before you deploy.
Clear answers for buyers, administrators, and security reviewers.
Is every OpenAI SDK feature supported?
No blanket claim is made. Current compatibility covers documented endpoints and must be validated against the exact SDK version, payload, streaming mode, and provider route.
Can applications request a provider-specific model?
Administrators can expose approved aliases or targets. The recommended pattern is a company-owned alias so supply changes do not leak into application code.
How is gateway overhead measured?
The evidence path separates gateway processing and upstream timing where the runtime has reliable boundaries. Production SLOs still require representative load testing.
Start safely
Start guided setupSee what the policy would do before it can block production.
Connect a provider credential, create a workload key, and begin in Observe mode. Move a tested rule to Enforce when your team is ready.