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Description
This doesn't raise an error, but causes the Temporal workflow to stall for some reason:
complex_agent = Agent( model, deps_type=Deps, name='agent', ) @agent.instructions def instructions(ctx: RunContext[Deps]) -> str: return 'Always be kind.' temporal_agent = TemporalAgent(agent) # now use the temporal_agent in a workflowExample Code
Python, Pydantic AI & LLM client version
Pydantic AI v1.0.0b1