A thing that was interesting in reading through your code and comparing to the original repo's examples (https://github.com/openai/openai-agents-python/tree/main/exa...) is it's really not all that different. Some metadata to denote things as a workflow or activity and some different function calls but otherwise they seem quite similar.
Temporal's durable execution is the value add. The decorators that denote workflow or activity let the Temporal engine know they it needs to ensure that those functions get completed in the face of any failures (network, application, process).
A thing that was interesting in reading through your code and comparing to the original repo's examples (https://github.com/openai/openai-agents-python/tree/main/exa...) is it's really not all that different. Some metadata to denote things as a workflow or activity and some different function calls but otherwise they seem quite similar.
Temporal's durable execution is the value add. The decorators that denote workflow or activity let the Temporal engine know they it needs to ensure that those functions get completed in the face of any failures (network, application, process).