OpenAI-compatible integration
Applications need one base URL and one Trex key to reach the stable API layer.
Use cases
Stable AI API solves production availability.
When OpenAI, Claude, Gemini, DeepSeek, or aggregators are rate-limited, down, or unstable, your product should not stop at one provider. TrexAPI centralizes fallback interfaces, routing, and controls into one platform layer.
One endpointMulti-model resilienceLow latencyPredictable cost
Typical failure scenarios
TrexAPI is designed so these problems do not live separately inside every application codebase.
| Scenario | Direct provider call | With TrexAPI |
|---|---|---|
| Primary model rate-limited | The app calls one provider directly and can only retry in application code after 429s. | Trex detects retryable failure, shifts to a configured fallback provider, and returns routing headers. |
| Regional instability | When an upstream region is unstable, latency and failure rate rise together. | Trex performs auth, throttling, and routing at the Cloudflare edge so failure handling stays in the platform layer. |
| Premium burst demand | Advanced models, long context, and high concurrency are mixed into ordinary plans without clear cost or risk boundaries. | Smart Auto uses daily quota; Premium and burst traffic consume Compute Credits, with downgrade or a clear error when balance is insufficient. |
Why this is a platform layer, not retry code
A stable API is not just retrying after failure. It needs authentication, quota, balance, logs, payment state, provider binding, and abuse controls around the request.
Usage and controls are visible
The dashboard shows API keys, subscription state, provider bindings, basic logs, and recent activity.
Controls before scale
Per-user RPM, concurrency, daily quota, key limits, payment state, and abuse detection are the foundation of stability.
Give your app an AI fallback path.
Start with one Trex key and move fallback, quota, and controls back into the platform layer.