The Gemini Agent Cookbook is a curated open-source toolkit offering a variety of hands-on examples for constructing intelligent agents powered by Google’s Gemini language models. It includes sample code for orchestrating multi-step reasoning chains, dynamically invoking external APIs, integrating toolkits for data retrieval, and managing conversation flows. The cookbook demonstrates best practices for error handling, context management, and prompt engineering, supporting use cases like autonomous chatbots, task automation, and decision support systems. It guides developers through building custom agents that can interpret user requests, fetch real-time data, perform computations, and generate formatted outputs. By following these recipes, engineers can accelerate agent prototyping and deploy robust AI-driven applications in diverse domains.

Machine Perception provides advanced perception technology that enables autonomous machines to detect obstacles and navigate safely. By leveraging sophisticated algorithms and sensory data, this product can interpret surroundings in real-time, allowing for efficient and secure movement in complex environments. Ideal for industries relying on automation, Machine Perception enhances operational safety and effectiveness.