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Caching AI Responses in a Desktop App — Don't Pay Twice for the Same Question

DEV Community·hiyoyo·28 days ago
#J6Okjun0
#cache#ai#gemini#rust#result#self
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If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. If a user closes the AI diagnosis overlay and reopens it, should you call Gemini again? No. Cache the result. Same input → same output. No reason to burn rate limit quota. Here's the caching layer I built into HiyokoLogcat. The problem Without caching: User clicks diagnose on error line 847 Gemini responds in 3 seconds User closes the overlay User reopens the overlay Gemini call again → 3 more seconds, 1 more request With caching: Steps 4-5 → instant, zero API calls. Cache key: hash the input Same log context → same hash → same cached result.…

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