Core Insights - The integration of AI Agents has become a standard feature in AI products, but the hidden costs associated with their operation, such as multi-turn tool calls and extensive context memory, can lead to significant token consumption [2] Cost Control Strategies - Utilizing fully managed serverless platforms like Cloud Run is an effective way to control costs for AI Agent applications, as it can automatically scale based on request volume and achieve zero cost during idle periods [3][7] - Cloud Run can expand instances from zero to hundreds or thousands within seconds based on real-time request volume, allowing for dynamic scaling that balances stability and cost control [7][9] Upcoming Event - An event featuring Liu Fan, a Google Cloud application modernization expert, will discuss techniques for developing with Cloud Run and achieving extreme cost control [4][9] - The session will include real-world examples demonstrating the powerful scaling capabilities of Cloud Run through monitoring charts that illustrate changes in request volume, instance count, and response latency [9]

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]