What is the three table pattern for AI costs?

It's requests (prompts out), responses (model replies), exchanges (link + tokens/model/status)—traces every AI call, costs included.

How to implement three table pattern in Supabase?

Create tables, insert request/exchange pre-call, response post-call, update exchange with tokens/model. Edge functions handle the model hit.

Does the three table pattern scale for production AI apps?

Absolutely—queries aggregate costs fast, audits forever. Agents

🤖 AI Dev Tools

The Three-Table Trick That Turns AI Black Boxes into Cost-Killing Goldmines

What if your AI app could whisper its own secrets—every prompt, reply, and penny spent—without you lifting a database finger? This three-table pattern does just that, making costs crystal-clear.

DevTools Feed Apr 07, 2026 3 min read

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Diagram of three database tables linking AI requests, responses, and exchanges for cost tracking

⚡ Key Takeaways

Three tables—requests, responses, exchanges—make AI round-trips fully traceable with zero log chaos. 𝕏
Token costs emerge naturally; query exchanges for user bills or debug fails instantly. 𝕏
Supabase code examples prove it: chat UIs to jobs, consistent shape scales everywhere. 𝕏

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#AI cost tracking #AI observability #LLM persistence #Supabase AI #database patterns #three table pattern #token usage

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