How to Build a Gemini Agent Flow

A Gemini agent flow is an orchestrated workflow within a large language model (LLM) application where a Gemini model reasons over tasks, selects and interacts with tools, and produces a final response or action under strict control. This process emphasizes the importance of maintaining application ownership over state, validation, retries, permissions, logging, and versioning to ensure a controlled environment. The tutorial outlines the construction of these flows with a focus on defining tasks clearly, choosing the right integration paths, designing agent loops, defining tools with strict schemas, creating structured state models, and maintaining system prompts as operating contracts. It stresses the importance of handling errors as first-class flow states, logging interactions for troubleshooting, building evaluation sets before deployment, and implementing version control for consistency and reliability. The guidance provided ensures the development of robust, testable, and auditable agent flows that can be modified and improved with minimal disruption, supported by tools like PromptLayer for managing prompts and versions.