127 lines
4.6 KiB
C#
127 lines
4.6 KiB
C#
using BotSharp.Abstraction.Conversations.Enums;
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using BotSharp.Abstraction.MLTasks;
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using System.Diagnostics;
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namespace BotSharp.Core.Conversations.Services;
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public class TokenStatistics : ITokenStatistics
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{
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private int _promptTokenCount = 0;
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private float _promptCost = 0f;
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private int _completionTokenCount = 0;
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private float _completionCost = 0f;
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private readonly IServiceProvider _services;
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private readonly ILogger _logger;
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public int Total => _promptTokenCount + _completionTokenCount;
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public string _model;
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private Stopwatch _timer;
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public float Cost => _promptCost + _completionCost;
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public float AccumulatedCost
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{
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get
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{
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var stat = _services.GetRequiredService<IConversationStateService>();
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return float.Parse(stat.GetState("llm_total_cost", "0"));
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}
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}
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public TokenStatistics(IServiceProvider services, ILogger<TokenStatistics> logger)
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{
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_services = services;
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_logger = logger;
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}
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public void AddToken(TokenStatsModel stats, RoleDialogModel message)
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{
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_model = stats.Model;
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_promptTokenCount += stats.PromptCount;
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_completionTokenCount += stats.CompletionCount;
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var settingsService = _services.GetRequiredService<ILlmProviderService>();
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var settings = settingsService.GetSetting(stats.Provider, _model);
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var deltaPromptCost = (stats.PromptCount - stats.CachedPromptCount) / 1000f * settings.PromptCost;
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var deltaCachedPromptCost = stats.CachedPromptCount / 1000f * (settings.AdditionalCost?.CachedPromptCost ?? 0f);
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var deltaCompletionCost = stats.CompletionCount / 1000f * settings.CompletionCost;
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var deltaTotal = deltaPromptCost + deltaCachedPromptCost + deltaCompletionCost;
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_promptCost += deltaPromptCost;
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_completionCost += deltaCompletionCost;
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// Accumulated Token
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var stat = _services.GetRequiredService<IConversationStateService>();
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var inputCount = int.Parse(stat.GetState("prompt_total", "0"));
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stat.SetState("prompt_total", stats.PromptCount + inputCount, isNeedVersion: false, source: StateSource.Application);
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var outputCount = int.Parse(stat.GetState("completion_total", "0"));
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stat.SetState("completion_total", stats.CompletionCount + outputCount, isNeedVersion: false, source: StateSource.Application);
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var cachedCount = int.Parse(stat.GetState("cached_prompt_total", "0"));
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stat.SetState("cached_prompt_total", stats.CachedPromptCount + cachedCount, isNeedVersion: false, source: StateSource.Application);
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// Total cost
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var total_cost = float.Parse(stat.GetState("llm_total_cost", "0"));
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total_cost += deltaTotal;
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stat.SetState("llm_total_cost", total_cost, isNeedVersion: false, source: StateSource.Application);
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// Save stats
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var metric = StatsMetric.AgentLlmCost;
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var dim = "agent";
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var agentId = message.CurrentAgentId ?? string.Empty;
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var globalStats = _services.GetRequiredService<IBotSharpStatsService>();
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var body = new BotSharpStatsInput
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{
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Metric = metric,
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Dimension = dim,
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DimRefVal = agentId,
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RecordTime = DateTime.UtcNow,
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IntervalType = StatsInterval.Day,
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Data = [
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new StatsKeyValuePair("prompt_token_count_total", stats.PromptCount),
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new StatsKeyValuePair("completion_token_count_total", stats.CompletionCount),
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new StatsKeyValuePair("prompt_cost_total", deltaPromptCost),
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new StatsKeyValuePair("completion_cost_total", deltaCompletionCost)
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]
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};
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globalStats.UpdateStats($"global-{metric}-{dim}-{agentId}", body);
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}
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public void PrintStatistics()
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{
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if (_timer == null)
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{
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_timer = Stopwatch.StartNew();
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}
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else
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{
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_timer.Start();
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}
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var stats = $"Token Usage: {_promptTokenCount} prompt + {_completionTokenCount} completion = {Total} total tokens ({_timer.ElapsedMilliseconds / 1000f:f2}s). One-Way cost: {Cost:C4}, accumulated cost: {AccumulatedCost:C4}. [{_model}]";
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#if DEBUG
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Console.WriteLine(stats);
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#else
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_logger.LogInformation(stats);
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#endif
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}
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public void StartTimer()
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{
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if (_timer == null)
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{
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_timer = Stopwatch.StartNew();
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}
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else
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{
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_timer.Start();
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}
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}
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public void StopTimer()
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{
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if (_timer == null)
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{
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return;
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}
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_timer.Stop();
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}
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}
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