Usage-Based Billing for AI Agents with FastAPI and Kong
The article discusses the implementation of usage-based billing for AI agents using FastAPI and Kong. It highlights the need for a billing system that charges users based on their actual consumption rather than a flat fee. The tutorial outlines the necessary tools and steps to build a sample AI agent with a billing system integrated.
- ▪Usage-based billing charges customers based on actual consumption rather than a fixed amount.
- ▪OpenMeter is an open-source metering engine maintained by Kong that handles real-time event ingestion and aggregation.
- ▪The tutorial provides a step-by-step guide to set up an AI agent with billing using FastAPI and Kong Metering & Billing.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 464555) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Teja Kummarikuntla for Kong Posted on May 26 Usage-Based Billing for AI Agents with FastAPI and Kong #ai #fastapi #webdev #programming If you've built an AI agent, the next question is simple: how do you charge for it? Flat subscriptions don't fit AI workloads. Token costs vary by model, by direction (input vs output), and by how much each user actually consumes. One user might send 200 tokens a day. Another burns through 50,000.
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