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waldekmastykarzgarrytrinder
waldekmastykarz
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garrytrinder
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Adds logging LLM usage information using OpenTelemetry. Closes #1067 
1 parent 162c90e commit 1f10f08

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‎dev-proxy-abstractions/LanguageModel/OpenAIModels.cs

+103
Original file line numberDiff line numberDiff line change
@@ -143,3 +143,106 @@ public class OpenAIChatCompletionResponseChoiceMessage
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public string Content { get; set; } = string.Empty;
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public string Role { get; set; } = string.Empty;
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}
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public class OpenAIAudioRequest : OpenAIRequest
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{
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public string File { get; set; } = string.Empty;
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[JsonPropertyName("response_format")]
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public string? ResponseFormat { get; set; }
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public string? Prompt { get; set; }
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public string? Language { get; set; }
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}
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public class OpenAIAudioSpeechRequest : OpenAIRequest
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{
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public string Input { get; set; } = string.Empty;
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public string Voice { get; set; } = string.Empty;
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[JsonPropertyName("response_format")]
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public string? ResponseFormat { get; set; }
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public double? Speed { get; set; }
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}
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public class OpenAIAudioTranscriptionResponse : OpenAIResponse
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{
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public string Text { get; set; } = string.Empty;
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public override string? Response => Text;
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}
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public class OpenAIEmbeddingRequest : OpenAIRequest
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{
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public string? Input { get; set; }
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[JsonPropertyName("encoding_format")]
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public string? EncodingFormat { get; set; }
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public int? Dimensions { get; set; }
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}
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public class OpenAIEmbeddingResponse : OpenAIResponse
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{
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public OpenAIEmbeddingData[]? Data { get; set; }
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public override string? Response => null; // Embeddings don't have a text response
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}
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public class OpenAIEmbeddingData
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{
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public float[]? Embedding { get; set; }
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public int Index { get; set; }
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public string? Object { get; set; }
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}
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public class OpenAIFineTuneRequest : OpenAIRequest
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{
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[JsonPropertyName("training_file")]
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public string TrainingFile { get; set; } = string.Empty;
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[JsonPropertyName("validation_file")]
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public string? ValidationFile { get; set; }
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public int? Epochs { get; set; }
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[JsonPropertyName("batch_size")]
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public int? BatchSize { get; set; }
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[JsonPropertyName("learning_rate_multiplier")]
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public double? LearningRateMultiplier { get; set; }
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public string? Suffix { get; set; }
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}
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public class OpenAIFineTuneResponse : OpenAIResponse
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{
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[JsonPropertyName("fine_tuned_model")]
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public string? FineTunedModel { get; set; }
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public string Status { get; set; } = string.Empty;
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public string? Organization { get; set; }
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public long CreatedAt { get; set; }
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public long UpdatedAt { get; set; }
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[JsonPropertyName("training_file")]
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public string TrainingFile { get; set; } = string.Empty;
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[JsonPropertyName("validation_file")]
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public string? ValidationFile { get; set; }
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[JsonPropertyName("result_files")]
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public object[]? ResultFiles { get; set; }
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public override string? Response => FineTunedModel;
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}
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public class OpenAIImageRequest : OpenAIRequest
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{
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public string Prompt { get; set; } = string.Empty;
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public int? N { get; set; }
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public string? Size { get; set; }
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[JsonPropertyName("response_format")]
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public string? ResponseFormat { get; set; }
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public string? User { get; set; }
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public string? Quality { get; set; }
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public string? Style { get; set; }
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}
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public class OpenAIImageResponse : OpenAIResponse
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{
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public OpenAIImageData[]? Data { get; set; }
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public override string? Response => null; // Image responses don't have a text response
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}
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public class OpenAIImageData
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{
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public string? Url { get; set; }
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[JsonPropertyName("b64_json")]
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public string? Base64Json { get; set; }
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[JsonPropertyName("revised_prompt")]
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public string? RevisedPrompt { get; set; }
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}

‎dev-proxy-abstractions/LanguageModel/PricesData.cs

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@@ -0,0 +1,62 @@
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// Licensed to the .NET Foundation under one or more agreements.
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// The .NET Foundation licenses this file to you under the MIT license.
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// See the LICENSE file in the project root for more information.
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using System.Diagnostics;
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namespace DevProxy.Abstractions.LanguageModel;
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public class PricesData: Dictionary<string, ModelPrices>
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{
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public bool TryGetModelPrices(string modelName, out ModelPrices? prices)
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{
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prices = new ModelPrices();
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if (string.IsNullOrEmpty(modelName))
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{
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return false;
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}
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// Try exact match first
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if (TryGetValue(modelName, out prices))
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{
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return true;
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}
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// Try to find a matching prefix
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// This handles cases like "gpt-4-turbo-2024-04-09" matching with "gpt-4"
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var matchingModel = Keys
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.Where(k => modelName.StartsWith(k, StringComparison.OrdinalIgnoreCase))
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.OrderByDescending(k => k.Length)
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.FirstOrDefault();
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if (matchingModel != null && TryGetValue(matchingModel, out prices))
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{
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return true;
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}
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return false;
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}
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public (double Input, double Output) CalculateCost(string modelName, long inputTokens, long outputTokens)
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{
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if (!TryGetModelPrices(modelName, out var prices))
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{
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return (0, 0);
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}
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Debug.Assert(prices != null, "Prices data should not be null here.");
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// Prices in the data are per 1M tokens
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var inputCost = prices.Input * (inputTokens / 1_000_000.0);
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var outputCost = prices.Output * (outputTokens / 1_000_000.0);
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return (inputCost, outputCost);
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}
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}
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public class ModelPrices
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{
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public double Input { get; set; }
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public double Output { get; set; }
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}

‎dev-proxy-abstractions/OpenTelemetry/SemanticConvention.cs

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// Licensed to the .NET Foundation under one or more agreements.
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// The .NET Foundation licenses this file to you under the MIT license.
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// See the LICENSE file in the project root for more information.
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namespace DevProxy.Abstractions.OpenTelemetry;
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public static class SemanticConvention
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{
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// GenAI General
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public const string GEN_AI_ENDPOINT = "gen_ai.endpoint";
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public const string GEN_AI_SYSTEM = "gen_ai.system";
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public const string GEN_AI_ENVIRONMENT = "gen_ai.environment";
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public const string GEN_AI_APPLICATION_NAME = "gen_ai.application_name";
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public const string GEN_AI_OPERATION = "gen_ai.type";
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public const string GEN_AI_OPERATION_NAME = "gen_ai.operation.name";
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public const string GEN_AI_HUB_OWNER = "gen_ai.hub.owner";
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public const string GEN_AI_HUB_REPO = "gen_ai.hub.repo";
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public const string GEN_AI_RETRIEVAL_SOURCE = "gen_ai.retrieval.source";
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public const string GEN_AI_REQUESTS = "gen_ai.total.requests";
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// GenAI Request
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public const string GEN_AI_REQUEST_MODEL = "gen_ai.request.model";
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public const string GEN_AI_REQUEST_TEMPERATURE = "gen_ai.request.temperature";
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public const string GEN_AI_REQUEST_TOP_P = "gen_ai.request.top_p";
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public const string GEN_AI_REQUEST_TOP_K = "gen_ai.request.top_k";
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public const string GEN_AI_REQUEST_MAX_TOKENS = "gen_ai.request.max_tokens";
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public const string GEN_AI_REQUEST_IS_STREAM = "gen_ai.request.is_stream";
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public const string GEN_AI_REQUEST_USER = "gen_ai.request.user";
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public const string GEN_AI_REQUEST_SEED = "gen_ai.request.seed";
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public const string GEN_AI_REQUEST_FREQUENCY_PENALTY = "gen_ai.request.frequency_penalty";
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public const string GEN_AI_REQUEST_PRESENCE_PENALTY = "gen_ai.request.presence_penalty";
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public const string GEN_AI_REQUEST_ENCODING_FORMATS = "gen_ai.request.embedding_format";
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public const string GEN_AI_REQUEST_EMBEDDING_DIMENSION = "gen_ai.request.embedding_dimension";
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public const string GEN_AI_REQUEST_TOOL_CHOICE = "gen_ai.request.tool_choice";
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public const string GEN_AI_REQUEST_AUDIO_VOICE = "gen_ai.request.audio_voice";
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public const string GEN_AI_REQUEST_AUDIO_RESPONSE_FORMAT = "gen_ai.request.audio_response_format";
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public const string GEN_AI_REQUEST_AUDIO_SPEED = "gen_ai.request.audio_speed";
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public const string GEN_AI_REQUEST_FINETUNE_STATUS = "gen_ai.request.fine_tune_status";
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public const string GEN_AI_REQUEST_FINETUNE_MODEL_SUFFIX = "gen_ai.request.fine_tune_model_suffix";
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public const string GEN_AI_REQUEST_FINETUNE_MODEL_EPOCHS = "gen_ai.request.fine_tune_n_epochs";
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public const string GEN_AI_REQUEST_FINETUNE_MODEL_LRM = "gen_ai.request.learning_rate_multiplier";
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public const string GEN_AI_REQUEST_FINETUNE_BATCH_SIZE = "gen_ai.request.fine_tune_batch_size";
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public const string GEN_AI_REQUEST_VALIDATION_FILE = "gen_ai.request.validation_file";
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public const string GEN_AI_REQUEST_TRAINING_FILE = "gen_ai.request.training_file";
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public const string GEN_AI_REQUEST_IMAGE_SIZE = "gen_ai.request.image_size";
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public const string GEN_AI_REQUEST_IMAGE_QUALITY = "gen_ai.request.image_quality";
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public const string GEN_AI_REQUEST_IMAGE_STYLE = "gen_ai.request.image_style";
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// GenAI Usage
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public const string GEN_AI_USAGE_INPUT_TOKENS = "gen_ai.usage.input_tokens";
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public const string GEN_AI_USAGE_OUTPUT_TOKENS = "gen_ai.usage.output_tokens";
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// OpenLIT
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public const string GEN_AI_USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens";
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public const string GEN_AI_USAGE_COST = "gen_ai.usage.cost";
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public const string GEN_AI_USAGE_TOTAL_COST = "gen_ai.usage.total_cost";
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// GenAI Response
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public const string GEN_AI_RESPONSE_ID = "gen_ai.response.id";
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public const string GEN_AI_RESPONSE_MODEL = "gen_ai.response.model";
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public const string GEN_AI_RESPONSE_FINISH_REASON = "gen_ai.response.finish_reason";
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public const string GEN_AI_RESPONSE_IMAGE = "gen_ai.response.image";
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public const string GEN_AI_RESPONSE_IMAGE_SIZE = "gen_ai.request.image_size";
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public const string GEN_AI_RESPONSE_IMAGE_QUALITY = "gen_ai.request.image_quality";
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public const string GEN_AI_RESPONSE_IMAGE_STYLE = "gen_ai.request.image_style";
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// GenAI Content
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public const string GEN_AI_CONTENT_PROMPT = "gen_ai.content.prompt";
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public const string GEN_AI_CONTENT_COMPLETION = "gen_ai.completion";
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public const string GEN_AI_CONTENT_REVISED_PROMPT = "gen_ai.content.revised_prompt";
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// Operation Types
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public const string GEN_AI_OPERATION_TYPE_CHAT = "chat";
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public const string GEN_AI_OPERATION_TYPE_EMBEDDING = "embedding";
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public const string GEN_AI_OPERATION_TYPE_IMAGE = "image";
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public const string GEN_AI_OPERATION_TYPE_AUDIO = "audio";
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public const string GEN_AI_OPERATION_TYPE_FINETUNING = "fine_tuning";
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public const string GEN_AI_OPERATION_TYPE_VECTORDB = "vectordb";
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public const string GEN_AI_OPERATION_TYPE_FRAMEWORK = "framework";
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// Metrics
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public const string GEN_AI_METRIC_CLIENT_TOKEN_USAGE = "gen_ai.client.token.usage";
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public const string GEN_AI_TOKEN_TYPE = "gen_ai.token.type";
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public const string GEN_AI_TOKEN_TYPE_INPUT = "input";
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public const string GEN_AI_TOKEN_TYPE_OUTPUT = "output";
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public const string GEN_AI_METRIC_CLIENT_OPERATION_DURATION = "gen_ai.client.operation.duration";
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}

‎dev-proxy-plugins/Inspection/LanguageModelPricingLoader.cs

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// Licensed to the .NET Foundation under one or more agreements.
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// The .NET Foundation licenses this file to you under the MIT license.
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// See the LICENSE file in the project root for more information.
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using DevProxy.Abstractions;
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using DevProxy.Abstractions.LanguageModel;
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using Microsoft.Extensions.Logging;
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using System.Text.Json;
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namespace DevProxy.Plugins.Inspection;
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internal class LanguageModelPricesLoader(ILogger logger, LanguageModelPricesPluginConfiguration configuration, bool validateSchemas) : BaseLoader(logger, validateSchemas)
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{
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private readonly ILogger _logger = logger ?? throw new ArgumentNullException(nameof(logger));
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private readonly LanguageModelPricesPluginConfiguration _configuration = configuration ?? throw new ArgumentNullException(nameof(configuration));
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protected override string FilePath => Path.Combine(Directory.GetCurrentDirectory(), _configuration.PricesFile ?? "");
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protected override void LoadData(string fileContents)
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{
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try
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{
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// we need to deserialize manually because standard deserialization
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// doesn't support nested dictionaries
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using JsonDocument document = JsonDocument.Parse(fileContents);
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if (document.RootElement.TryGetProperty("prices", out JsonElement pricesElement))
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{
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var pricesData = new PricesData();
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foreach (JsonProperty modelProperty in pricesElement.EnumerateObject())
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{
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var modelName = modelProperty.Name;
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if (modelProperty.Value.TryGetProperty("input", out JsonElement inputElement) &&
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modelProperty.Value.TryGetProperty("output", out JsonElement outputElement))
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{
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pricesData[modelName] = new()
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{
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Input = inputElement.GetDouble(),
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Output = outputElement.GetDouble()
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};
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}
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}
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_configuration.Prices = pricesData;
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_logger.LogInformation("Language model prices data loaded from {PricesFile}", _configuration.PricesFile);
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}
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}
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catch (Exception ex)
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{
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_logger.LogError(ex, "An error has occurred while reading {PricesFile}:", _configuration.PricesFile);
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}
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}
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}

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