deepgram-cost-tuning

Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. Trigger with phrases like "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage".

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저장소: Dicklesworthstone/pi_agent_rust
최근 소스 활동: 2026년 2월 5일 06:56
감지된 SKILL.md 언어: 영어
스타: 1,580
포크: 184

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npx skills add https://github.com/Dicklesworthstone/pi_agent_rust --skill deepgram-cost-tuning

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// services/cost-optimized-transcription.ts
import { createClient } from '@deepgram/sdk';

interface CostConfig {
  maxMonthlySpend: number;
  warningThreshold: number; // percentage
  model: string;
  enabledFeatures: {
    diarization: boolean;
    smartFormat: boolean;
  };
}

interface CostMetrics {
  currentMonthMinutes: number;
  currentMonthCost: number;
  projectedMonthlyCost: number;
}

export class CostOptimizedTranscription {
  private client;
  private config: CostConfig;
  private metrics: CostMetrics;
  private modelCosts: Record<string, number> = {
    'nova-2': 0.0043,
    'nova': 0.0043,
    'base': 0.0048,
    'enhanced': 0.0145,
  };

  constructor(apiKey: string, config: Partial<CostConfig> = {}) {
    this.client = createClient(apiKey);
    this.config = {
      maxMonthlySpend: config.maxMonthlySpend ?? 100,
      warningThreshold: config.warningThreshold ?? 80,
      model: config.model ?? 'nova-2',
      enabledFeatures: config.enabledFeatures ?? {
        diarization: false,
        smartFormat: true,
      },
    };
    this.metrics = {
      currentMonthMinutes: 0,
      currentMonthCost: 0,
      projectedMonthlyCost: 0,
    };
  }

  private calculateCost(durationMinutes: number): number {
    let cost = durationMinutes * this.modelCosts[this.config.model];

    if (this.config.enabledFeatures.diarization) {
      cost += durationMinutes * 0.0044;
    }

    return cost;
  }

  private checkBudget(estimatedMinutes: number): void {
    const estimatedCost = this.calculateCost(estimatedMinutes);
    const projectedTotal = this.metrics.currentMonthCost + estimatedCost;

    if (projectedTotal > this.config.maxMonthlySpend) {
      throw new Error(`Budget exceeded. Current: $${this.metrics.currentMonthCost.toFixed(2)}, Estimated: $${estimatedCost.toFixed(2)}, Limit: $${this.config.maxMonthlySpend}`);
    }

    const percentage = (projectedTotal / this.config.maxMonthlySpend) * 100;
    if (percentage >= this.config.warningThreshold) {
      console.warn(`Budget warning: ${percentage.toFixed(1)}% of monthly limit used`);
    }
  }

  async transcribe(audioUrl: string, estimatedDurationMinutes: number) {
    this.checkBudget(estimatedDurationMinutes);

    const startTime = Date.now();

    const { result, error } = await this.client.listen.prerecorded.transcribeUrl(
      { url: audioUrl },
      {
        model: this.config.model,
        smart_format: this.config.enabledFeatures.smartFormat,
        diarize: this.config.enabledFeatures.diarization,
      }
    );

    if (error) throw error;

    // Track actual usage
    const actualDuration = result.metadata.duration / 60; // seconds to minutes
    const cost = this.calculateCost(actualDuration);

    this.metrics.currentMonthMinutes += actualDuration;
    this.metrics.currentMonthCost += cost;

    return {
      transcript: result.results.channels[0].alternatives[0].transcript,
      metadata: {
        duration: actualDuration,
        cost,
        model: this.config.model,
      },
    };
  }

  getMetrics(): CostMetrics & { budgetRemaining: number } {
    return {
      ...this.metrics,
      budgetRemaining: this.config.maxMonthlySpend - this.metrics.currentMonthCost,
    };
  }
}

// lib/audio-reducer.ts
import ffmpeg from 'fluent-ffmpeg';

interface ReductionOptions {
  silenceThreshold: string; // dB
  silenceMinDuration: number; // seconds
  speed: number; // 1.0 = normal, 1.25 = 25% faster
}

export async function reduceDuration(
  inputPath: string,
  outputPath: string,
  options: Partial<ReductionOptions> = {}
): Promise<{ originalDuration: number; reducedDuration: number; savings: number }> {
  const {
    silenceThreshold = '-30dB',
    silenceMinDuration = 0.5,
    speed = 1.0,
  } = options;

  return new Promise((resolve, reject) => {
    let originalDuration = 0;
    let reducedDuration = 0;

    ffmpeg(inputPath)
      .on('codecData', (data) => {
        originalDuration = parseDuration(data.duration);
      })
      // Remove silence
      .audioFilters([
        `silenceremove=start_periods=1:start_silence=${silenceMinDuration}:start_threshold=${silenceThreshold}`,
        `silenceremove=stop_periods=-1:stop_silence=${silenceMinDuration}:stop_threshold=${silenceThreshold}`,
        // Optionally speed up
        ...(speed !== 1.0 ? [`atempo=${speed}`] : []),
      ])
      .output(outputPath)
      .on('end', () => {
        ffmpeg.ffprobe(outputPath, (err, metadata) => {
          if (err) return reject(err);
          reducedDuration = metadata.format.duration || 0;
          resolve({
            originalDuration,
            reducedDuration,
            savings: ((originalDuration - reducedDuration) / originalDuration) * 100,
          });
        });
      })
      .on('error', reject)
      .run();
  });
}

function parseDuration(duration: string): number {
  const parts = duration.split(':').map(Number);
  return parts[0] * 3600 + parts[1] * 60 + parts[2];
}

// lib/usage-dashboard.ts
import { createClient } from '@deepgram/sdk';

interface UsageSummary {
  period: { start: Date; end: Date };
  totalMinutes: number;
  totalCost: number;
  byModel: Record<string, { minutes: number; cost: number }>;
  byDay: Array<{ date: string; minutes: number; cost: number }>;
  projections: {
    monthlyMinutes: number;
    monthlyCost: number;
  };
}

export class UsageDashboard {
  private client;
  private projectId: string;

  constructor(apiKey: string, projectId: string) {
    this.client = createClient(apiKey);
    this.projectId = projectId;
  }

  async getUsageSummary(daysBack = 30): Promise<UsageSummary> {
    const end = new Date();
    const start = new Date(end.getTime() - daysBack * 24 * 60 * 60 * 1000);

    // Get usage data from Deepgram API
    const { result, error } = await this.client.manage.getProjectUsageRequest(
      this.projectId,
      {
        start: start.toISOString(),
        end: end.toISOString(),
      }
    );

    if (error) throw error;

    // Aggregate data
    const byModel: Record<string, { minutes: number; cost: number }> = {};
    const byDay: Map<string, { minutes: number; cost: number }> = new Map();

    let totalMinutes = 0;
    let totalCost = 0;

    for (const request of result.requests || []) {
      const minutes = (request.duration || 0) / 60;
      const model = request.model || 'unknown';
      const cost = this.calculateCost(minutes, model);
      const dateKey = new Date(request.created).toISOString().split('T')[0];

      totalMinutes += minutes;
      totalCost += cost;

      if (!byModel[model]) {
        byModel[model] = { minutes: 0, cost: 0 };
      }
      byModel[model].minutes += minutes;
      byModel[model].cost += cost;

      if (!byDay.has(dateKey)) {
        byDay.set(dateKey, { minutes: 0, cost: 0 });
      }
      const day = byDay.get(dateKey)!;
      day.minutes += minutes;
      day.cost += cost;
    }

    // Calculate projections
    const dailyAverage = totalMinutes / daysBack;
    const daysInMonth = 30;

    return {
      period: { start, end },
      totalMinutes,
      totalCost,
      byModel,
      byDay: Array.from(byDay.entries()).map(([date, data]) => ({
        date,
        ...data,
      })),
      projections: {
        monthlyMinutes: dailyAverage * daysInMonth,
        monthlyCost: (totalCost / daysBack) * daysInMonth,
      },
    };
  }

  private calculateCost(minutes: number, model: string): number {
    const rates: Record<string, number> = {
      'nova-2': 0.0043,
      'nova': 0.0043,
      'base': 0.0048,
      'enhanced': 0.0145,
    };
    return minutes * (rates[model] || 0.0043);
  }
}

// lib/cost-alerts.ts
import { UsageDashboard } from './usage-dashboard';

interface AlertConfig {
  dailyLimit: number;
  weeklyLimit: number;
  monthlyLimit: number;
  alertChannels: Array<'email' | 'slack' | 'webhook'>;
}

export class CostAlerts {
  private dashboard: UsageDashboard;
  private config: AlertConfig;
  private alertsSent: Set<string> = new Set();

  constructor(dashboard: UsageDashboard, config: Partial<AlertConfig> = {}) {
    this.dashboard = dashboard;
    this.config = {
      dailyLimit: config.dailyLimit ?? 10,
      weeklyLimit: config.weeklyLimit ?? 50,
      monthlyLimit: config.monthlyLimit ?? 200,
      alertChannels: config.alertChannels ?? ['email'],
    };
  }

  async checkAndAlert(): Promise<void> {
    const daily = await this.dashboard.getUsageSummary(1);
    const weekly = await this.dashboard.getUsageSummary(7);
    const monthly = await this.dashboard.getUsageSummary(30);

    const alerts: string[] = [];

    if (daily.totalCost > this.config.dailyLimit) {
      alerts.push(`Daily spend ($${daily.totalCost.toFixed(2)}) exceeds limit ($${this.config.dailyLimit})`);
    }

    if (weekly.totalCost > this.config.weeklyLimit) {
      alerts.push(`Weekly spend ($${weekly.totalCost.toFixed(2)}) exceeds limit ($${this.config.weeklyLimit})`);
    }

    if (monthly.totalCost > this.config.monthlyLimit) {
      alerts.push(`Monthly spend ($${monthly.totalCost.toFixed(2)}) exceeds limit ($${this.config.monthlyLimit})`);
    }

    // Send alerts (deduplicated)
    for (const alert of alerts) {
      const alertKey = `${new Date().toDateString()}-${alert}`;
      if (!this.alertsSent.has(alertKey)) {
        await this.sendAlert(alert);
        this.alertsSent.add(alertKey);
      }
    }
  }

  private async sendAlert(message: string): Promise<void> {
    console.log(`COST ALERT: ${message}`);

    for (const channel of this.config.alertChannels) {
      switch (channel) {
        case 'slack':
          await this.sendSlackAlert(message);
          break;
        case 'email':
          await this.sendEmailAlert(message);
          break;
        case 'webhook':
          await this.sendWebhookAlert(message);
          break;
      }
    }
  }

  private async sendSlackAlert(message: string): Promise<void> {
    const webhookUrl = process.env.SLACK_WEBHOOK_URL;
    if (!webhookUrl) return;

    await fetch(webhookUrl, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({
        text: `Deepgram Cost Alert: ${message}`,
      }),
    });
  }

  private async sendEmailAlert(message: string): Promise<void> {
    // Implement email sending
  }

  private async sendWebhookAlert(message: string): Promise<void> {
    // Implement webhook sending
  }
}

// lib/cost-aware-model.ts
interface ModelRecommendation {
  model: string;
  estimatedCost: number;
  qualityLevel: 'high' | 'medium' | 'low';
  reason: string;
}

export function recommendModel(params: {
  audioDurationMinutes: number;
  monthlyBudget: number;
  currentMonthSpend: number;
  qualityRequirement: 'high' | 'medium' | 'any';
}): ModelRecommendation {
  const { audioDurationMinutes, monthlyBudget, currentMonthSpend, qualityRequirement } = params;
  const budgetRemaining = monthlyBudget - currentMonthSpend;

  const models = [
    { name: 'nova-2', rate: 0.0043, quality: 'high' as const },
    { name: 'nova', rate: 0.0043, quality: 'high' as const },
    { name: 'base', rate: 0.0048, quality: 'low' as const },
  ];

  // Filter by quality requirement
  const eligible = models.filter(m => {
    if (qualityRequirement === 'high') return m.quality === 'high';
    if (qualityRequirement === 'medium') return m.quality !== 'low';
    return true;
  });

  // Find cheapest that fits budget
  for (const model of eligible.sort((a, b) => a.rate - b.rate)) {
    const cost = audioDurationMinutes * model.rate;
    if (cost <= budgetRemaining) {
      return {
        model: model.name,
        estimatedCost: cost,
        qualityLevel: model.quality,
        reason: `Best value within budget ($${budgetRemaining.toFixed(2)} remaining)`,
      };
    }
  }

  // Fallback to cheapest
  const cheapest = eligible[0];
  return {
    model: cheapest.name,
    estimatedCost: audioDurationMinutes * cheapest.rate,
    qualityLevel: cheapest.quality,
    reason: 'Warning: May exceed budget',
  };
}

name	deepgram-cost-tuning
description	Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. Trigger with phrases like "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage".
allowed-tools	Read, Write, Edit, Bash(gh:), Bash(curl:)
version	1.0.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>

Model	Price per Minute	Best For
Nova-2	$0.0043	General transcription
Nova	$0.0043

name	deepgram-cost-tuning
description	Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. Trigger with phrases like "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage".
allowed-tools	Read, Write, Edit, Bash(gh:), Bash(curl:)
version	1.0.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>

Model	Price per Minute	Best For
Nova-2	$0.0043	General transcription
Nova	$0.0043

deepgram-cost-tuning

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