ADK Framework Blog Posts

Load Balancing For Adk Agent Cluster

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Implementing Bidirectional Audio/Video Streaming in ADK for Real-Time Human-Agent Interaction

Traditional text-based chatbots have a fundamental limitation: their interaction model is turn-based. The user types a complete thought, presses enter, waits, and then receives a full response. This is a far cry from the fluid, interruptible nature of human conversation. To build a truly interactive AI agent that a user can talk to, we must solve a significant engineering problem: achieving a "round-trip" latency of less than 500 milliseconds.

Guide To Creating Adk Agent In Python

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Sandboxing Adk Agents For Security

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Scaling ADK Agents on Vertex AI Agent Engine Runtime

Prototyping a google.adk.agent on a local machine is a solved problem. The real architectural challenge emerges on "Day 2": deploying that agent to a production environment designed to handle thousands of concurrent users with high availability, robust security, and cost-efficiency.

State Management and Callbacks in Complex Asynchronous ADK Workflows

In a sophisticated agentic system, many valuable tasks are not instantaneous. An agent tasked with a simple, synchronous goal like "summarize this text" can return a response in seconds. But an agent tasked with, "Run a full financial audit on our Q3 sales data, cross-reference it with marketing campaign expenditures, and generate a detailed forecast report," might need minutes, or even hours, to complete its work.