Introduction to Multi Agent Systems Enhancement in Vertex AI
Models with improved reasoning skills, such as those found in Gemini 2.5, are essential for multi-agent systems.
Models with improved reasoning skills, such as those found in Gemini 2.5, are essential for multi-agent systems
Google Cloud is revealing some improvements to Vertex AI today so you can:Create agents with an open methodology and implement enterprise-level controlsAgents should be connected throughout your company ecosystem
Google’s new open-source framework, the Agent Development Kit (ADK), makes it easier to create agents and complex multi-agent systems while preserving fine-grained control over agent behaviour
Agent Garden, a set of readily usable tools and samples that are directly available within ADK, will help you get started on your development
Google Cloud’s completely controlled runtime, Agent Engine, makes it simple to put AI agents into production
Google Cloud will utilize cutting-edge testing and tooling to further enhance Agent Engine‘s capabilities in the coming months
Presenting the Agent2Agent protocol, which links agents throughout your company’s environment
In addition to their functionality, enterprise AI agents in production are vulnerable to security issues such as incorrect content generation, unauthorised data access, and prompt injection attacks
The true worth of Vertex AI lies not just in the individual features listed above, but also in the way they function as a cohesive unit
Painful trade-offs between models, interaction with enterprise apps and data, or production readiness are eliminated by this cohesive approach