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pythonPull requests for the Python Semantic KernelPull requests for the Python Semantic Kerneltriage
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Hi,
I am developing an enterprise application where I need the AI agents (AzureAIAgent) to be deterministic (produce exactly same response to the same prompt and instruction) over multiple runs. From previous discussions, I understood that the 'Seed' parameter can help get close responses although it does not guarantee the same. I have seen that the semantic kernel supports this parameter with the "OpenAIPromptExecutionSettings" and "AzureChatPromptExecutionSettings" classes, however, if I understood correctly, it is only defined for chat completion models but not for the "AzureAIAgent" class. Is there a way to apply this parameter for my agents, or is there any other way to make my agents as deterministic as possible?
Thanks in advance!
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pythonPull requests for the Python Semantic KernelPull requests for the Python Semantic Kerneltriage