04 Add Logging.md

Exercise - Add Logging

1. Open the project you have created in 03 Add Plugin (Function Call) in VS Code or Visual Studio.

2. Install Extensions Logging nuget package

   dotnet add package Microsoft.Extensions.Logging

3. Install Extensions Logging console nuget package

   dotnet add package Microsoft.Extensions.Logging.Console

4. Add the following using statments at the top of Program.cs file.

   using Microsoft.Extensions.DependencyInjection;
   using Microsoft.Extensions.Logging;

5. Add logging services to the builder before initializing the kernel

   // Add logging services to the builder
   builder.Services.AddLogging(b => b.AddConsole().SetMinimumLevel(LogLevel.Trace));

6. Run the application by entering dotnet run into the terminal. Experiment with a user prompt "Hello" " you will get something similar output as shown below

   Q: Hello
   trce: Microsoft.SemanticKernel.Connectors.OpenAI.OpenAIChatCompletionService[0]
         ChatHistory: [{"Role":{"Label":"user"},"Items":[{"$type":"TextContent","Text":"Hello"}]}], Settings: {"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"max_tokens":null,"stop_sequences":null,"results_per_prompt":1,"seed":null,"response_format":null,"chat_system_prompt":null,"token_selection_biases":null,"ToolCallBehavior":null,"User":null,"logprobs":null,"top_logprobs":null,"model_id":null}
   info: Microsoft.SemanticKernel.Connectors.OpenAI.OpenAIChatCompletionService[0]
         Prompt tokens: 8. Completion tokens: 9. Total tokens: 17.
   Hello! How can I help you today?
   Q:

Note: From the output on the console, notice the log information that provided detailed information about our model settings.

Complete sample project

View the completed sample in the 04 Add Logging) project.

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