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Previously, we explored why trajectory evaluation and handoffs are critical for multi-agent systems. In our latest post, we move from theory to practice, showing you exactly how to evaluate agent2agent (A2A) agents. We'll guide you through a hands-on example, building and assessing a Reimbursement Agent using the power of Vertex AI Evaluation services. Dive into our Colab notebook to learn how to set up and run your own evaluations, ensuring your multi-agent systems perform flawlessly. 🚀
Is your AI agent suffering from amnesia? Don't let your users get stuck in a conversational loop. It's time to stop relying on clunky, expensive context windows that lead to "context rot." This guide introduces the Vertex AI Agent Engine Memory Bank. Learn how to build agents that remember and recall information across conversations. We'll show you how to generate, store, and retrieve memories, creating an enhanced user experience. Ready to build agents that truly connect? Let's get started.
Generative AI offers immense power, but with it comes significant risk. This article discuss how to protect your LLM applications from prompt injection, data leakage, and other threats using a multi-layered security approach with Google Cloud services like Natural Language API, Model Armor, and vector databases.