Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/deepgram-pack/skills/deepgram-prod-checklist/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill deepgram-prod-checklist. Copyright stays with the author (MIT).

Deepgram Production Checklist

Prerequisites

• A named service/data owner, approved model/provider/data-routing decision, and production rollback plan.
• Passing staging evidence for credentials, audio retention/consent, observability, rate limits, quality, and incident escalation.

Examples

Run the final production gate with a non-sensitive canary, verify alert routing and the redacted request receipt, then observe against the stated quality/latency/error threshold. If any gate fails, halt rollout and restore the previous approved configuration rather than extending the canary or disabling controls.

Overview

Comprehensive go-live checklist for Deepgram integrations. Covers singleton client, health checks, Prometheus metrics, alert rules, error handling, and a phased go-live timeline.

Production Readiness Matrix

Instructions

Step 1: Production Singleton Client

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

class ProductionDeepgram {
  private static client: DeepgramClient | null = null;

  static getClient(): DeepgramClient {
    if (!this.client) {
      const key = process.env.DEEPGRAM_API_KEY;
      if (!key) throw new Error('DEEPGRAM_API_KEY required for production');
      this.client = createClient(key);
    }
    return this.client;
  }

  // Force re-init (for key rotation)
  static reset() { this.client = null; }
}

Step 2: Health Check Endpoint

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

const app = express();
const deepgram = createClient(process.env.DEEPGRAM_API_KEY!);

app.get('/health', async (req, res) => {
  const start = Date.now();
  try {
    // Test API connectivity by listing projects
    const { error } = await deepgram.manage.getProjects();
    const latency = Date.now() - start;

    if (error) {
      return res.status(503).json({
        status: 'unhealthy',
        deepgram: 'error',
        error: error.message,
        latency_ms: latency,
      });
    }

    res.json({
      status: 'healthy',
      deepgram: 'connected',
      latency_ms: latency,
      timestamp: new Date().toISOString(),
    });
  } catch (err: any) {
    res.status(503).json({
      status: 'unhealthy',
      deepgram: 'unreachable',
      error: err.message,
      latency_ms: Date.now() - start,
    });
  }
});

Step 3: Prometheus Metrics

import { Counter, Histogram, Gauge, Registry } from 'prom-client';

const registry = new Registry();

const transcriptionRequests = new Counter({
  name: 'deepgram_requests_total',
  help: 'Total Deepgram API requests',
  labelNames: ['method', 'model', 'status'],
  registers: [registry],
});

const transcriptionLatency = new Histogram({
  name: 'deepgram_latency_seconds',
  help: 'Deepgram API request latency',
  labelNames: ['method', 'model'],
  buckets: [0.5, 1, 2, 5, 10, 30],
  registers: [registry],
});

const audioProcessed = new Counter({
  name: 'deepgram_audio_seconds_total',
  help: 'Total audio seconds processed',
  labelNames: ['model'],
  registers: [registry],
});

const activeConnections = new Gauge({
  name: 'deepgram_active_connections',
  help: 'Active WebSocket connections',
  registers: [registry],
});

// Instrumented transcription
async function instrumentedTranscribe(url: string, model = 'nova-3') {
  const timer = transcriptionLatency.startTimer({ method: 'prerecorded', model });
  try {
    const { result, error } = await deepgram.listen.prerecorded.transcribeUrl(
      { url }, { model, smart_format: true }
    );
    timer();
    transcriptionRequests.inc({ method: 'prerecorded', model, status: error ? 'error' : 'ok' });
    if (result?.metadata?.duration) {
      audioProcessed.inc({ model }, result.metadata.duration);
    }
    if (error) throw error;
    return result;
  } catch (err) {
    timer();
    transcriptionRequests.inc({ method: 'prerecorded', model, status: 'error' });
    throw err;
  }
}

// Expose metrics endpoint
app.get('/metrics', async (req, res) => {
  res.set('Content-Type', registry.contentType);
  res.send(await registry.metrics());
});

Step 4: Alert Rules (Prometheus/AlertManager)

groups:
  - name: deepgram
    rules:
      - alert: DeepgramHighErrorRate
        expr: rate(deepgram_requests_total{status="error"}[5m]) / rate(deepgram_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "Deepgram error rate > 5%"

      - alert: DeepgramHighLatency
        expr: histogram_quantile(0.95, rate(deepgram_latency_seconds_bucket[5m])) > 10
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Deepgram P95 latency > 10s"

      - alert: DeepgramHealthCheckFailed
        expr: up{job="deepgram-service"} == 0
        for: 2m
        labels:
          severity: critical
        annotations:
          summary: "Deepgram health check failed for 2+ minutes"

Step 5: Error Handling Wrapper

async function safeTranscribe(url: string, options: Record<string, any> = {}) {
  const timeout = options.timeout ?? 30000;

  const controller = new AbortController();
  const timeoutId = setTimeout(() => controller.abort(), timeout);

  try {
    const result = await Promise.race([
      instrumentedTranscribe(url, options.model ?? 'nova-3'),
      new Promise((_, reject) =>
        setTimeout(() => reject(new Error('Transcription timeout')), timeout)
      ),
    ]);
    clearTimeout(timeoutId);
    return result;
  } catch (err: any) {
    clearTimeout(timeoutId);
    // Log structured error
    console.error(JSON.stringify({
      level: 'error',
      service: 'deepgram',
      message: err.message,
      url: url.substring(0, 100),
      timestamp: new Date().toISOString(),
    }));
    throw err;
  }
}

Step 6: Go-Live Timeline

Output

• Singleton client with reset capability
• Health check endpoint with latency reporting
• Prometheus metrics (requests, latency, audio, connections)
• AlertManager rules for error rate, latency, availability
• Timeout-safe transcription wrapper
• Phased go-live timeline

Error Handling

Resources

• Deepgram Production Guide
• Prometheus Best Practices
• Deepgram SLA