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"""Minimal single-shot Deep Agent, made durable by the plugin.

The workflow builds a vanilla ``create_deep_agent(...)`` and drives it with

``await agent.ainvoke(...)`` — exactly the code you would write outside Temporal.

The only reason it is durable is that a ``DeepAgentsPlugin`` is wired onto the

client (see ``run_worker.py``): the bare ``model="anthropic:..."`` string is

auto-routed through the ``deepagents.invoke_model`` activity, so the LLM call

gets Temporal-managed retries and timeouts while the agent's control loop

replays deterministically in the workflow.

"""

# @@@SNIPSTART python-deepagents-hello-world-workflow

# No `workflow.unsafe.imports_passed_through()` guard is needed: the plugin

# configures the workflow sandbox to pass the deepagents / LangChain import

# tree through, so workflow files import them like any other module.

from deepagents import create_deep_agent

from temporalio import workflow

@workflow.defn

class HelloWorldAgent:

@workflow.run

async def run(self, question: str) -> str:

agent = create_deep_agent(

model="anthropic:claude-sonnet-4-5",

system_prompt="You are a helpful assistant. Answer concisely.",

)

result = await agent.ainvoke(

{"messages": [{"role": "user", "content": question}]}

)

return result["messages"][-1].content

# @@@SNIPEND