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[ HENDRY RAMA SETHIAWAN ]
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// SYSTEMS ARCHITECT · AI/ML SPECIALIST · FULL-STACK DEV
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2024.11.15 LOCAL AI

Designing a local-first AI workspace with zero cloud dependency

Routing every AI feature through a single self-hosted open LLM is an architectural decision, not merely a cost saving.

Why it matters

  • Privacy. No user data leaves the machine.
  • Predictable cost. No per-token bill that scales with success.
  • Offline capability. The workspace stays useful without a connection.

The inference gateway

A circuit breaker in front of the AI layer detects failures and degrades to an explicit "AI unavailable" state — never silently falling through to an external provider.

if breaker.is_open():
    return AIUnavailable(reason="inference gateway tripped")

The point is not the fallback. The point is that failure is visible.