Welcome to the lesson Adding Reasoning and Actions.
Understand the mechanical shift from passive data retrieval to active execution using function calling.
Define custom agent capabilities using OpenAPI specifications to enforce strict parameter extraction.
Deploy serverless execution logic to Cloud Run and connect it to a generative playbook in AI Applications.
Configure exact IAM security boundaries, specifically the Cloud Run Invoker role, to prevent HTTP authentication errors.
Write strict system instructions and fallback strategies so the agent handles API cold starts and timeouts gracefully.
Calculate the financial impact of the reasoning loop by understanding Gemini token consumption and context window limits.
Debug execution payloads using Cloud Logging and trace multi-step latency using Cloud Trace.
This lesson is for cloud engineers, solution architects, and developers who understand Google Cloud and generative AI.
It’s designed for those who need to architect, build, troubleshoot, and deploy autonomous, action-driven agents using AI Applications and Cloud Run.