About This Session
This hands-on workshop covers the primary orchestration patterns in ADK 2: graph workflows, collaborative agent teams, and dynamic (LLM-shaped) workflows. You will learn to construct architectures that combine parallel fan-out with join nodes, deterministic code-level routers that branch without extra model calls, collaborative supervisor-specialist teams executing dynamic parallel subsets, and recursive execution flows. You will conclude with a decision matrix for selecting and composing these patterns. - Identify the correct orchestration pattern based on structural problem constraints. - Construct graph-based, collaborative, and dynamic workflows using ADK 2 primitives. - Reduce latency and token consumption by offloading branching decisions from the model to code-level logic.
Topics
- AI Models
- Agents
- Workflows