google-adk

Multi-agent pipelines in Google ADK are orchestrated using patterns like Parent-Child and Planners to coordinate multiple LlmAgent instances. This provides structured agent configuration, session state management, and safety guardrails for production-grade environments.

An LlmAgent configuration in Google ADK defines an agent's identity, behavior, context, and tools. It serves as the foundational component for building LLM-powered agents, enabling structured setup for single-agent and multi-agent systems.

Yes, Google ADK supports implementing safety guardrails and governance for LLM agents. It integrates safety mechanisms directly into multi-agent orchestration patterns, ensuring controlled agent behavior in production-grade environments.

LLM agent evaluation in production environments is handled through Google ADK's evaluation workflows and tooling. The framework exposes evaluation components that integrate with multi-agent pipelines to assess agent performance and governance.

Yes, Google ADK supports session state management for multi-agent systems through its memory components. This enables persistent context sharing and state tracking across orchestrated LlmAgent instances during pipeline execution.

Planners are needed in multi-agent orchestration when coordinating complex task delegation across multiple LlmAgent instances. Google ADK uses planner components to manage Parent-Child agent patterns and sequential pipelines for structured workflow execution.