Durable, flexible multi-agent systems

A demonstration called Ziggy’s Ice Cream models a multi-agent delivery fleet using Google ADK, LangGraph, or both together, with Temporal providing durable orchestration across agent reasoning, tool calls, driver operations, and human decisions. Fleet and customer agents can assess orders in parallel while a dispatch agent makes assignment decisions, illustrating ADK’s agent-team composition and LangGraph’s explicit graph-based control flow, including interruptions for human review. The system treats human input as an asynchronous, durable interaction delivered through Temporal Signals, allowing workflows to pause for hours or days without consuming compute and to survive worker crashes, deployments, or evictions. Temporal records workflow events and activities for retries, replay, auditing, and cross-framework coordination, though in-flight model calls may need to restart after failures and side-effecting tools require idempotency safeguards. The example also highlights operational concerns such as separating task queues to prevent model inference from delaying driver work and using continue-as-new to limit event-history growth for long-running workflows.

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