Build Real-Time Token Cost Controls for AI Agents and Applications

Token usage is the cloud bill of the AI era. As developers deploy agents, copilots, and AI-powered applications into production, monitoring costs after the fact is no longer enough. Organizations need mechanisms to govern token consumption before requests reach expensive LLM endpoints.

In this technical webinar, Michael Levan and Sebastian Maniak will walk through an architecture for real-time AI cost governance using an AI gateway. You'll see how to implement token accounting, budget enforcement, request authorization, and cost attribution across AI workloads, all without changing application code.

Through live demos and practical examples, you'll learn how to build guardrails that help engineering teams scale AI adoption while maintaining financial control.

 3 Key Takeaways:

• Implement real-time AI cost controls. Learn how to monitor token usage, enforce budgets, and prevent costly LLM requests before they happen.

• Govern AI usage without changing your applications. See how an AI gateway can add token accounting, request authorization, and budget enforcement without requiring code changes.

• Scale AI responsibly with financial visibility. Discover how to attribute AI costs across teams and workloads while maintaining governance as agents and AI applications move into production.