Routing Overview
RouteAPI provides a unified AI model invocation entry point for business systems. Your team can keep using familiar OpenAI-compatible APIs while RouteAPI handles request validation, model selection, availability protection, and usage logging.
What it means for business systems
Section titled “What it means for business systems”- Production requests use one unified Base URL.
- Application code uses stable model IDs.
- When a model service is temporarily unavailable, the platform provides protection mechanisms.
- Usage logs help troubleshoot issues, audit requests, and analyze costs.
- Streaming output, tool calls, vision understanding, structured output, and other common capabilities are supported.
Request flow
Section titled “Request flow”- The client sends a request with an API Key and model ID.
- RouteAPI validates the request and account access permissions.
- RouteAPI selects a suitable model service based on the required capabilities.
- RouteAPI sends the request and returns the response in the format expected by the client.
- RouteAPI records usage, latency, and error information for later review.
Recommended reading
Section titled “Recommended reading”- Request routing - How RouteAPI sends requests.
- Model ID - How to keep model names stable in code.
- Fallback protection - What happens when a model service is unavailable.
- Parameter compatibility - How to safely use advanced request parameters.