hello_world

Hello World

The simplest Deep Agents + Temporal sample: build a Deep Agent with create_deep_agent(...) and invoke it once. The agent code is unchanged from a non-Temporal program — adding DeepAgentsPlugin() to the client is what makes the single LLM call run as a durable deepagents.invoke_model activity, with Temporal-managed retries and timeouts.

What This Sample Demonstrates

• Wiring DeepAgentsPlugin onto the client (it auto-propagates to the worker)
• Building a Deep Agent from a bare model="anthropic:claude-sonnet-4-5" string, which the plugin auto-routes through the model activity
• Driving the agent with await agent.ainvoke(...) from a @workflow.defn

Running the Sample

Prerequisites: Python >= 3.11 with the suite setup applied (interim plugin install), an ANTHROPIC_API_KEY in your environment, and a running Temporal dev server (temporal server start-dev).

The experimental plugin is not in the deepagents group — install it as shown in the suite README and run with --no-sync, or a bare uv run/uv sync re-syncs the environment and uninstalls it.

# Terminal 1
uv run --no-sync deepagents_plugin/hello_world/run_worker.py

# Terminal 2
uv run --no-sync deepagents_plugin/hello_world/run_workflow.py

Files

File	Description
workflow.py	HelloWorldAgent: one Deep Agent, one ainvoke
run_worker.py	Adds DeepAgentsPlugin to the client, starts the worker
run_workflow.py	Executes the workflow and prints the result