Using the Three Table Pattern to Track Your AI Costs
📰 Dev.to · Matt Ruiz
Learn to track AI costs using the Three Table Pattern by persisting requests, responses, and linking them
Action Steps
- Design three tables to store AI requests, responses, and metadata
- Implement a data model to link requests with corresponding responses
- Configure your application to persist AI requests and responses in the designed tables
- Test the data model by running sample AI requests and verifying the stored data
- Apply the Three Table Pattern to your existing AI-powered applications to track costs
Who Needs to Know This
Developers and DevOps teams can benefit from this pattern to monitor and optimize AI-related expenses in their applications
Key Insight
💡 The Three Table Pattern helps track AI costs by storing requests, responses, and metadata in separate tables
Share This
📊 Track AI costs with the Three Table Pattern! Persist requests, responses, and link them to optimize expenses
Key Takeaways
Learn to track AI costs using the Three Table Pattern by persisting requests, responses, and linking them
Full Article
TL;DR: When you add AI to an app, persist the request, persist the response, and link them with an...
DeepCamp AI