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 tested for each client, endpoint, payload, streaming mode, tool, and model. A logo alone does not prove it works.
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 for the CTO operating view.
For the CTO operating view, the console identifies each upstream account and its health while provider secrets remain write-only.
- This the CTO operating view view runs in the working customer console
- Exercised with safe OpenAI- and Anthropic-compatible simulators
- The the CTO operating view capture excludes keys, prompt text, responses, and private email
For the CTO operating view, the console identifies each upstream account and its health while provider secrets remain write-only.
What administrators can change
The settings behind for ctos and platform leaders.
For ctos and platform leaders, the console shows each setting, its owner, and its scope so administrators can review changes before they reach live traffic.
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- 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.
Questions teams ask
Questions about for ctos and platform leaders.
What buyers, administrators, and security reviewers need to confirm for for ctos and platform leaders.
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.
Start with a provider connection, a limited workload key, and Observe mode; move to enforcement after your team confirms the result.