AI application platform
Teams building AI features into products and internal systems
Give AI applications one model access layer, route requests across providers, and run the surrounding services on cloud compute with global connectivity when required.
Solution stack
Expected outcomes
- One integration surface
- Routing and failover policies
- Visible usage and service costs
What this architecture solves.
Applications need multiple model providers without duplicating integrations.
Model routing, failover, keys, and usage need one operating surface.
The application layer still needs dependable compute and regional connectivity.
Reference architecture.
Each layer has one job. Together they create a path from the user or request to the service that fulfills it.
Model access layer
anyflows provides unified API keys, smart routing, usage visibility, and failover across model providers.
Application services
Cloud Servers run product APIs, orchestration services, workers, and data-facing application logic.
Regional connectivity
GlobalLink connects regional application environments and business-critical service paths when required.
How the request moves.
A simplified traffic path for this solution. The final route is adapted to your regions, services, and policies.
Recommended implementation path.
Start with the highest-impact boundary, validate the traffic path, and add the next layer as the system grows.
- 01Integrate the application once with anyflows
- 02Define routing, fallback, quota, and visibility policies
- 03Run application services on Cloud Servers
- 04Add GlobalLink when services span regional environments
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