Core Insights - The integration of AI Agents has become a standard feature in AI products, but the hidden costs associated with their operation pose significant challenges [2] - Controlling costs is crucial, and fully managed serverless platforms like Cloud Run offer a viable solution by automatically scaling based on request volume and achieving zero costs during idle times [3][7] Summary by Sections - **AI Agent Development and Costs** - The deployment of AI Agents is just the initial step, with subsequent operational costs potentially consuming thousands to tens of thousands of tokens per interaction due to multi-turn tool calls and complex logic [2] - **Cost Control Solutions** - Cloud Run is highlighted as an effective platform for managing costs associated with AI Agents, allowing for automatic scaling based on real-time request volume and achieving zero costs when there are no requests [3][7] - **Upcoming Event** - An event featuring Liu Fan, a Google Cloud application modernization expert, will discuss techniques for developing with Cloud Run and strategies for extreme cost control [4][9] - **Key Discussion Points of the Event** - How Cloud Run can scale instances from zero to hundreds or thousands within seconds based on real-time requests [9] - The "zero cost with no requests" model that can reduce the operational costs of AI Agents to zero [9] - Real-world examples demonstrating Cloud Run's scalability through monitoring charts that illustrate changes in request volume, instance count, and response latency [9]