appsettings.json

{
  "Logging": {
    "LogLevel": {
      "Default": "Warning",
      // Examples: how to handle logs differently by class
      //      "Microsoft.KernelMemory.Handlers.TextExtractionHandler": "Information",
      //      "Microsoft.KernelMemory.Handlers.TextPartitioningHandler": "Information",
      //      "Microsoft.KernelMemory.Handlers.GenerateEmbeddingsHandler": "Information",
      //      "Microsoft.KernelMemory.Handlers.SaveEmbeddingsHandler": "Information",
      //      "Microsoft.KernelMemory.ContentStorage.AzureBlobs": "Information",
      //      "Microsoft.KernelMemory.Pipeline.Queue.AzureQueues": "Information",
      "Microsoft.AspNetCore": "Warning"
    }
  },
  "KernelMemory": {
    "Services": {
      "OpenAI": {
        // Name of the model used to generate text (text completion or chat completion)
        "TextModel": "gpt-3.5-turbo-16k",
        // The max number of tokens supported by the text model.
        "TextModelMaxTokenTotal": 16384,
        // What type of text generation, by default autodetect using the model name.
        // Possible values: "Auto", "TextCompletion", "Chat"
        "TextGenerationType": "Auto",
        // Name of the model used to generate text embeddings
        "EmbeddingModel": "text-embedding-ada-002",
        // The max number of tokens supported by the embedding model
        // See https://platform.openai.com/docs/guides/embeddings/what-are-embeddings
        "EmbeddingModelMaxTokenTotal": 8191,
        // OpenAI API Key
        "APIKey": "",
        // OpenAI Organization ID (usually empty, unless you have multiple accounts on different orgs)
        "OrgId": "",
        // Endpoint to use. By default the system uses 'https://api.openai.com/v1'.
        // Change this to use proxies or services compatible with OpenAI HTTP protocol like LM Studio.
        "Endpoint": "",
        // How many times to retry in case of throttling
        "MaxRetries": 10
      }
    }
  }
}