Controlling AI Costs: Optimize and Chargeback LLM Usage with agentgateway

As AI agents proliferate in enterprise environments, managing LLM costs and usage becomes critical to avoid budget overruns and enable fair resource allocation across teams and organizations. In this webinar, you'll dive deep into LLM consumption tracking using agentgateway, exploring how to monitor token usage, calculate real-time costs, generate actionable reports, and implement chargeback mechanisms for multi-org workflows. We'll leverage a production-ready demo to showcase these features in action, including cost attribution for different agents to enforce granular controls.

What you’ll get out of this session:

• A comprehensive breakdown of LLM consumption challenges in agent-based systems, including token tracking, cost attribution, and why traditional monitoring falls short—compared to advanced approaches like gateway-based observability.

• Hands-on guidance on configuring agentgateway for usage monitoring: setting up budgets, rate limits, and multi-provider routing (e.g., Anthropic, OpenAI, xAI) to optimize costs across agents.

• Strategies for chargeback and reporting: Generating per-user/team cost breakdowns, integrating with billing systems, and using metrics for cross-org accountability.

• A live demo of the agentgateway-llm-consumption-demo, walking through deployment, simulating multi-agent usage scenarios, and visualizing costs via Prometheus and Jaeger for enforcement and auditing.