Controlling AI Costs: Optimize and Chargeback LLM Usage with agentgateway

As AI agents multiply across enterprise environments, LLM usage visibility and cost control become mission-critical. Traditional monitoring tools struggle to track token consumption, attribute costs, and enforce accountability across multi-agent, multi-org workflows.

In this webinar, you'll get a deep technical look at how agentgateway provides gateway-level observability to track usage in real time, calculate costs, enforce budgets, and implement chargeback models across teams.

What you’ll learn:

• A breakdown of LLM consumption challenges in agent-based systems and why token tracking + attribution require more than legacy monitoring
• How to configure agentgateway for usage monitoring: budgets, rate limits, and multi-provider routing (Anthropic, OpenAI, xAI, and more)
• Practical chargeback and reporting techniques for per-user/per-team cost breakdowns and billing system integrations
• A live walkthrough of the agentgateway-llm-consumption-demo, simulating multi-agent usage and visualizing cost flows in Prometheus and Jaeger

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