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: "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage", "deepgram billing".

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Repositorio: jeremylongshore/claude-code-plugins-plus-skills
Última actividad en el origen: 17 de julio de 2026 a las 22:18
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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: "deepgram cost", "reduce deepgram spending", "deepgram pricing", "deepgram budget", "optimize deepgram usage", "deepgram billing".
allowed-tools	Read, Write, Edit, Bash(ffmpeg:*)
version	1.13.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>
tags	["saas","deepgram","cost-optimization","billing"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Deepgram Cost Tuning

Overview

Optimize Deepgram API costs through smart model selection, audio preprocessing to reduce billable minutes, usage monitoring via the Deepgram API, budget guardrails, and feature-aware cost estimation. Deepgram bills per audio minute processed.

Deepgram Pricing (2026)

Product	Model	Price/Minute	Notes
STT (Batch)	Nova-3	$0.0043	Best accuracy
STT (Batch)	Nova-2	$0.0043	Proven stable
STT (Streaming)	Nova-3	$0.0059	Real-time
STT (Streaming)	Nova-2	$0.0059	Real-time
STT (Batch)	Base	$0.0048	Fastest
STT (Batch)	Whisper	$0.0048	Multilingual
TTS	Aura-2	Pay-per-character	See TTS pricing
Intelligence	Summarize/Topics/Sentiment	Included with STT	No extra cost

Add-on costs:

Diarization: +$0.0044/min
Multichannel: billed per channel

Instructions

Step 1: Budget-Aware Transcription Service

import { createClient } from '@deepgram/sdk';

interface BudgetConfig {
  monthlyLimitUsd: number;
  warningThreshold: number;  // 0.0-1.0 (e.g., 0.8 = warn at 80%)
  costPerMinute: number;     // Base STT cost
}

class BudgetAwareTranscriber {
  private client: ReturnType< createClient>;
   : ;
   monthlySpendUsd = ;
   monthlyMinutes = ;

  () {
    . = (apiKey);
    . = config;
  }

   () {
    
     estimatedCost = .(options);
     projected = . + estimatedCost;

     (projected > ..) {
        (
         +
        
      );
    }

     (projected > .. * ..) {
      .(
         +
        
      );
    }

     { result, error } =  ....(
      source, options
    );
     (error)  error;

    
     duration = result.. / ;  
     actualCost = .(duration, options);
    . += duration;
    . += actualCost;

     result;
  }

   (: ):  {
    
     .(, options);
  }

   (: , : ):  {
     cost = minutes * ..;
     (options.) cost += minutes * ;  
     cost;
  }

  () {
     {
      : ..(),
      : ..(),
      : (.. - .).(),
      : ((. / ..) * ).(),
    };
  }
}


 transcriber =  (process..!, {
  : ,
  : ,
  : ,
});

# Remove silence — can save 10-40% of billable minutes
ffmpeg -i input.wav \
  -af "silenceremove=stop_periods=-1:stop_duration=0.5:stop_threshold=-30dB" \
  -ar 16000 -ac 1 -acodec pcm_s16le \
  trimmed.wav

# Speed up audio (1.25x) — saves 20% of billable minutes
# Deepgram handles slightly sped-up audio well
ffmpeg -i input.wav \
  -filter:a "atempo=1.25" \
  -ar 16000 -ac 1 -acodec pcm_s16le \
  faster.wav

import { execSync } from 'child_process';

function measureSavings(inputPath: string) {
  // Get original duration
  const origDuration = parseFloat(
    execSync(`ffprobe -v quiet -show_entries format=duration -of csv=p=0 "${inputPath}"`)
      .toString().trim()
  );

  // Remove silence
  execSync(`ffmpeg -y -i "${inputPath}" \
    -af "silenceremove=stop_periods=-1:stop_duration=0.5:stop_threshold=-30dB" \
    -ar 16000 -ac 1 -acodec pcm_s16le /tmp/trimmed.wav 2>/dev/null`);

  const trimmedDuration = parseFloat(
    execSync(`ffprobe -v quiet -show_entries format=duration -of csv=p=0 /tmp/trimmed.wav`)
      .toString().trim()
  );

  const savings = ((1 - trimmedDuration / origDuration) * 100).toFixed(1);
  const costSaved = ((origDuration - trimmedDuration) / 60 * 0.0043).toFixed(4);

  console.log(`Original: ${origDuration.toFixed(1)}s`);
  console.log(`Trimmed: ${trimmedDuration.toFixed(1)}s`);
  console.log(`Savings: ${savings}% (${costSaved}/file at $0.0043/min)`);
}

import { createClient } from '@deepgram/sdk';

async function getUsageDashboard(projectId: string) {
  const client = createClient(process.env.DEEPGRAM_API_KEY!);

  // Get usage for current month
  const now = new Date();
  const monthStart = new Date(now.getFullYear(), now.getMonth(), 1);

  const { result } = await client.manage.getUsage(projectId, {
    start: monthStart.toISOString(),
    end: now.toISOString(),
  });

  // Aggregate by model
  const byModel: Record<string, { minutes: number; cost: number }> = {};
  for (const entry of (result as any).results ?? []) {
    const model = entry.model ?? 'unknown';
    if (!byModel[model]) byModel[model] = { minutes: 0, cost: 0 };
    byModel[model].minutes += (entry.hours ?? 0) * 60 + (entry.minutes ?? 0);
  }

  console.log('=== Monthly Usage ===');
  for (const [model, data] of Object.entries(byModel)) {
    const cost = data.minutes * 0.0043;
    console.log(`${model}: ${data.minutes.toFixed(1)} min ($${cost.toFixed(2)})`);
  }

  // Monthly projection
  const dayOfMonth = now.getDate();
  const daysInMonth = new Date(now.getFullYear(), now.getMonth() + 1, 0).getDate();
  const totalMinutes = Object.values(byModel).reduce((s, d) => s + d.minutes, 0);
  const projectedMinutes = (totalMinutes / dayOfMonth) * daysInMonth;
  const projectedCost = projectedMinutes * 0.0043;

  console.log(`\nProjected monthly: ${projectedMinutes.toFixed(0)} min ($${projectedCost.toFixed(2)})`);
}

function recommendModel(params: {
  qualityNeeded: 'high' | 'medium' | 'low';
  isRealtime: boolean;
  languages: string[];
  budgetPerMinute?: number;
}): { model: string; pricePerMin: number; reason: string } {
  const { qualityNeeded, isRealtime, languages, budgetPerMinute } = params;

  // Multilingual -> Whisper
  if (languages.length > 1 || !['en', 'es', 'fr', 'de'].includes(languages[0])) {
    return { model: 'whisper-large', pricePerMin: 0.0048, reason: 'Multilingual support' };
  }

  // Budget constraint
  if (budgetPerMinute !== undefined && budgetPerMinute < 0.005) {
    return { model: 'nova-2', pricePerMin: 0.0043, reason: 'Best price per quality' };
  }

  // Real-time -> Nova-3 (streaming price $0.0059/min)
  if (isRealtime) {
    return { model: 'nova-3', pricePerMin: 0.0059, reason: 'Best real-time accuracy' };
  }

  // Quality based
  switch (qualityNeeded) {
    case 'high':
      return { model: 'nova-3', pricePerMin: 0.0043, reason: 'Highest accuracy' };
    case 'medium':
      return { model: 'nova-2', pricePerMin: 0.0043, reason: 'Good accuracy, proven' };
    case 'low':
      return { model: 'base', pricePerMin: 0.0048, reason: 'Fastest processing' };
  }
}

// Feature cost breakdown per minute of audio
const featureCosts: Record<string, { cost: number; description: string }> = {
  // Free features (included with STT)
  smart_format:   { cost: 0,      description: 'Punctuation + paragraphs + numerals' },
  punctuate:      { cost: 0,      description: 'Punctuation only' },
  paragraphs:     { cost: 0,      description: 'Paragraph formatting' },
  summarize:      { cost: 0,      description: 'AI summary (included with STT)' },
  detect_topics:  { cost: 0,      description: 'Topic detection (included)' },
  sentiment:      { cost: 0,      description: 'Sentiment analysis (included)' },
  intents:        { cost: 0,      description: 'Intent recognition (included)' },
  redact:         { cost: 0,      description: 'PII redaction (included)' },

  // Paid add-ons
  diarize:        { cost: 0.0044, description: 'Speaker identification (+$0.0044/min)' },
  multichannel:   { cost: 0.0043, description: 'Per-channel billing (1x STT cost per channel)' },
};

function estimateJobCost(params: {
  durationMinutes: number;
  model: string;
  features: string[];
  channels?: number;
}): number {
  const baseCost = params.durationMinutes * 0.0043;
  let addOnCost = 0;

  for (const feature of params.features) {
    addOnCost += (featureCosts[feature]?.cost ?? 0) * params.durationMinutes;
  }

  // Multichannel: billed per channel
  const channelMultiplier = params.channels ?? 1;

  return (baseCost + addOnCost) * channelMultiplier;
}

// Example: 60 min meeting with diarization
// estimateJobCost({ durationMinutes: 60, model: 'nova-3', features: ['diarize'] })
// = (60 * 0.0043) + (60 * 0.0044) = $0.258 + $0.264 = $0.522

Strategy	Savings	Effort
Remove silence from audio	10-40%	Low (ffmpeg one-liner)
Disable diarization when not needed	~50%	Low (remove option)
Use callback for long files	Indirect (no timeouts)	Low
Cache repeated transcriptions	20-60%	Medium (Redis)
Speed up audio 1.25x	20%	Low (ffmpeg)
Use Nova-2 instead of Nova-3	0% (same price)	None
Batch pre-recorded vs streaming	37% ($0.0043 vs $0.0059)	Medium

Issue	Cause	Solution
Budget exceeded	No controls	Enable budget check before transcription
Unexpected charges	Diarization always on	Make diarization opt-in
Usage API empty	Wrong project ID	Get ID from `getProjects()`
Cost spike	Batch job without limits	Set concurrency limits + budget cap