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appsettings.json
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{
"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.DocumentStorage.AzureBlobs": "Information",
// "Microsoft.KernelMemory.Pipeline.Queue.AzureQueues": "Information",
"Microsoft.AspNetCore": "Warning"
}
},
"KernelMemory": {
"Services": {
"AzureOpenAIEmbedding": {
// "ApiKey" or "AzureIdentity"
// AzureIdentity: use automatic Entra (AAD) authentication mechanism.
// You can test locally using the AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET env vars.
"Auth": "AzureIdentity",
// Optional when Auth == AzureIdentity. Leave it null to use the default.
// in which case use this to change the client audience.
"AzureIdentityAudience": null,
"Endpoint": "https://<...>.openai.azure.com/",
"APIKey": "",
"Deployment": "",
// The max number of tokens supported by model deployed
// See https://learn.microsoft.com/azure/ai-services/openai/concepts/models
"MaxTokenTotal": 8191,
// The number of dimensions output embeddings should have.
// Only supported in "text-embedding-3" and later models developed with
// MRL, see https://arxiv.org/abs/2205.13147
"EmbeddingDimensions": null,
// How many embeddings to calculate in parallel. The max value depends on
// the model and deployment in use.
// See also hhttps://learn.microsoft.com/azure/ai-services/openai/reference#embeddings
"MaxEmbeddingBatchSize": 1,
// How many times to retry in case of throttling.
"MaxRetries": 10
}
}
}
}