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AI Gateway Failover Playground

A provider-routing playground for AI gateway fallback and observability thinking.

Simulates provider routing, fallback paths, latency budgets, outage handling, and trace-style AI infrastructure decisions.

What this proves

Shows applied AI infrastructure design through a small, inspectable product surface.

Fallback architecture

Models how AI systems should continue gracefully when a provider is slow, unavailable, or over budget.

Traceability

Presents routing and request behavior as observable product state.

Product clarity

Turns infrastructure tradeoffs into a usable demo instead of a hidden backend note.

QA status

Current proof state.

Project status

Live public demo and repository linked from the mainframe.

Mainframe category

Grouped under AI / Agentic Systems.

Proof boundary

Described as a playground and simulation, not production traffic.

Safe limitations

Boundaries stay visible.

The public brief does not claim real provider uptime, paid traffic, or production SLA history.

Routing behavior is positioned as a demonstration of infrastructure design patterns.

Evidence links

Open the proof trail.

Public demo

Live AI Gateway Failover Playground.

Open

Public repository

AI Gateway Failover source repository.

Open

GitHub source memory

Public-safe repository/source snapshot.

Open