Adding logging to an application is crucial for monitoring and debugging.
In addition to tracking issues and performing diagnostics, within the context of Semantic Kernel, logging can help provide insights into the planner’s decision-making process.
This can let you know how the AI model and planner arrived at a particular decision-making outcome or which processes were executed to handle a user prompt.
This can give you an extra level of transparency, thereby ensuring the reliability and performance of your Semantic Kernel and AI model integration.
In this blog post, we will see how to add logging to a Semantic Kernel and OpenAI integration.
We will also see:
- what logging verbosity is available
- examples of logging outputs
- the planner component in action
More details and code walkthrough here:
jamiemaguire.n...
Негізгі бет Semantic-Kernel-05: Using Logging to Examine Planners and Support Debugging
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