Stop rogue AI: Enforce policy & cut costs in Agent Development Kit (ADK)
Google agent development kit Adk Ai guardrails Llm security Ai cost optimization Agent callbacks Google cloud Ai policy enforcement Llm caching Conversational ai safety Agent development
This hands-on tutorial demonstrates how to build production-ready guardrails for AI agents using Google Agent Development Kit (ADK). Developers learn to implement policy enforcement by blocking risky requests (financial/crypto advice), create a lightweight LLM judge for intent detection, manage conversation state for disclaimers, and reduce API costs through caching. The video includes live code review and is ideal for engineers building enterprise AI agents requiring safety and cost controls.
Related videos
Building GPU-accelerated multi-agent apps with Google ADK and Gemma 4
Gemma 4 production stack: Model Armor, ADK Agents, Tracing
How we built 1,000 AI agents that run a marathon
The ABCs of agent building
Next gen agentic architecture: Hands on with Gemini 3.5 & ADK
Build an AI agent app with Go ADK, Cloud Run, and Flutter
Stop building slow AI: Optimizing multi-agent systems for production
The future of Cloud AI: Mastering MCP servers, Gemini, and agentic workflows
Building conversational applications with Bigtable and ADK
Your AI agent still has no memory? Fix it with these 3 patterns
Google Cloud Next '26 Developer Keynote recap
