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Agent Patterns — Multi-Agent Coordinator

A coordinator LlmAgent with sub_agents=[researcher, writer]. Each agent uses its own TemporalModel with an ActivityConfig(summary=...), so the agents show up as named activities in workflow history. This demonstrates ADK's built-in transfer_to_agent handoff running durably, with per-agent activity summaries.

Before running, review the prerequisites in the suite README (Temporal dev server, uv sync --group google-adk, and export GOOGLE_API_KEY=...).

Running

Start the worker in one terminal:

uv run python -m google_adk_agents.agent_patterns.run_worker

Then start the workflow in another terminal:

uv run python -m google_adk_agents.agent_patterns.run_multi_agent_workflow

What to expect

The starter asks for a haiku about the ocean. The coordinator delegates to the researcher and then the writer; the starter prints the final haiku.

In the Temporal UI

Open the workflow google-adk-agents-agent-patterns-workflow-id. The invoke_model activities are labeled with their agent summaries — "Coordinator Agent", "Researcher Agent", "Writer Agent" — so you can follow the handoffs between agents directly in the history.