deepgram-deploy-integration

Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring production infrastructure, or setting up Deepgram in containerized environments. Trigger with phrases like "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud".

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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

설치 방법

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npx skills add https://github.com/Dicklesworthstone/pi_agent_rust --skill deepgram-deploy-integration

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SKILL.md

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# Dockerfile
FROM node:20-slim AS builder

WORKDIR /app

COPY package*.json ./
RUN npm ci --only=production

COPY . .
RUN npm run build

# Production image
FROM node:20-slim AS runner

WORKDIR /app

ENV NODE_ENV=production

# Create non-root user
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 deepgram
USER deepgram

COPY --from=builder --chown=deepgram:nodejs /app/dist ./dist
COPY --from=builder --chown=deepgram:nodejs /app/node_modules ./node_modules
COPY --from=builder --chown=deepgram:nodejs /app/package.json ./

EXPOSE 3000

HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:3000/health || exit 1

CMD ["node", "dist/index.js"]

# docker-compose.yml
version: '3.8'

services:
  deepgram-service:
    build: .
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - DEEPGRAM_API_KEY=${DEEPGRAM_API_KEY}
    secrets:
      - deepgram_key
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s
    deploy:
      replicas: 3
      resources:
        limits:
          cpus: '1'
          memory: 512M
        reservations:
          cpus: '0.5'
          memory: 256M

  redis:
    image: redis:7-alpine
    volumes:
      - redis-data:/data

secrets:
  deepgram_key:
    file: ./secrets/deepgram-api-key.txt

volumes:
  redis-data:

# k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: deepgram-service
  labels:
    app: deepgram-service
spec:
  replicas: 3
  selector:
    matchLabels:
      app: deepgram-service
  template:
    metadata:
      labels:
        app: deepgram-service
    spec:
      serviceAccountName: deepgram-service
      containers:
        - name: deepgram-service
          image: your-registry/deepgram-service:latest
          ports:
            - containerPort: 3000
          env:
            - name: NODE_ENV
              value: "production"
            - name: DEEPGRAM_API_KEY
              valueFrom:
                secretKeyRef:
                  name: deepgram-secrets
                  key: api-key
          resources:
            requests:
              memory: "256Mi"
              cpu: "250m"
            limits:
              memory: "512Mi"
              cpu: "500m"
          livenessProbe:
            httpGet:
              path: /health
              port: 3000
            initialDelaySeconds: 30
            periodSeconds: 10
          readinessProbe:
            httpGet:
              path: /ready
              port: 3000
            initialDelaySeconds: 5
            periodSeconds: 5
          securityContext:
            runAsNonRoot: true
            runAsUser: 1001
            readOnlyRootFilesystem: true
---
apiVersion: v1
kind: Service
metadata:
  name: deepgram-service
spec:
  selector:
    app: deepgram-service
  ports:
    - port: 80
      targetPort: 3000
  type: ClusterIP
---
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: deepgram-service
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: deepgram-service
  minReplicas: 3
  maxReplicas: 10
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70

# k8s/secret.yaml (use sealed-secrets or external-secrets in production)
apiVersion: v1
kind: Secret
metadata:
  name: deepgram-secrets
type: Opaque
stringData:
  api-key: ${DEEPGRAM_API_KEY}

# serverless.yml
service: deepgram-transcription

provider:
  name: aws
  runtime: nodejs20.x
  stage: ${opt:stage, 'dev'}
  region: us-east-1
  memorySize: 512
  timeout: 30
  environment:
    NODE_ENV: production
  iam:
    role:
      statements:
        - Effect: Allow
          Action:
            - secretsmanager:GetSecretValue
          Resource:
            - arn:aws:secretsmanager:${self:provider.region}:*:secret:deepgram/*

functions:
  transcribe:
    handler: dist/handlers/transcribe.handler
    events:
      - http:
          path: /transcribe
          method: post
          cors: true
    environment:
      DEEPGRAM_SECRET_ARN: ${ssm:/deepgram/secret-arn}

  transcribeAsync:
    handler: dist/handlers/transcribe-async.handler
    events:
      - sqs:
          arn: !GetAtt TranscriptionQueue.Arn
    timeout: 300
    reservedConcurrency: 10

resources:
  Resources:
    TranscriptionQueue:
      Type: AWS::SQS::Queue
      Properties:
        QueueName: ${self:service}-transcription-queue
        VisibilityTimeout: 360

// src/handlers/transcribe.ts
import { APIGatewayProxyHandler } from 'aws-lambda';
import { SecretsManager } from '@aws-sdk/client-secrets-manager';
import { createClient } from '@deepgram/sdk';

const secretsManager = new SecretsManager({});
let deepgramKey: string | null = null;

async function getApiKey(): Promise<string> {
  if (deepgramKey) return deepgramKey;

  const { SecretString } = await secretsManager.getSecretValue({
    SecretId: process.env.DEEPGRAM_SECRET_ARN!,
  });

  deepgramKey = JSON.parse(SecretString!).apiKey;
  return deepgramKey!;
}

export const handler: APIGatewayProxyHandler = async (event) => {
  try {
    const body = JSON.parse(event.body || '{}');
    const { audioUrl, options = {} } = body;

    if (!audioUrl) {
      return {
        statusCode: 400,
        body: JSON.stringify({ error: 'audioUrl required' }),
      };
    }

    const apiKey = await getApiKey();
    const client = createClient(apiKey);

    const { result, error } = await client.listen.prerecorded.transcribeUrl(
      { url: audioUrl },
      { model: 'nova-2', smart_format: true, ...options }
    );

    if (error) {
      return {
        statusCode: 500,
        body: JSON.stringify({ error: error.message }),
      };
    }

    return {
      statusCode: 200,
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({
        transcript: result.results.channels[0].alternatives[0].transcript,
        metadata: result.metadata,
      }),
    };
  } catch (err) {
    return {
      statusCode: 500,
      body: JSON.stringify({ error: 'Internal server error' }),
    };
  }
};

# cloudbuild.yaml
steps:
  - name: 'gcr.io/cloud-builders/docker'
    args: ['build', '-t', 'gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA', '.']

  - name: 'gcr.io/cloud-builders/docker'
    args: ['push', 'gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA']

  - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
    entrypoint: gcloud
    args:
      - 'run'
      - 'deploy'
      - 'deepgram-service'
      - '--image=gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA'
      - '--region=us-central1'
      - '--platform=managed'
      - '--allow-unauthenticated'
      - '--set-secrets=DEEPGRAM_API_KEY=deepgram-api-key:latest'
      - '--memory=512Mi'
      - '--cpu=1'
      - '--min-instances=1'
      - '--max-instances=10'

images:
  - 'gcr.io/$PROJECT_ID/deepgram-service:$COMMIT_SHA'

// api/transcribe.ts (Vercel Edge Function)
import { createClient } from '@deepgram/sdk';

export const config = {
  runtime: 'edge',
};

export default async function handler(request: Request) {
  if (request.method !== 'POST') {
    return new Response('Method not allowed', { status: 405 });
  }

  try {
    const { audioUrl } = await request.json();

    const client = createClient(process.env.DEEPGRAM_API_KEY!);

    const { result, error } = await client.listen.prerecorded.transcribeUrl(
      { url: audioUrl },
      { model: 'nova-2', smart_format: true }
    );

    if (error) {
      return new Response(JSON.stringify({ error: error.message }), {
        status: 500,
        headers: { 'Content-Type': 'application/json' },
      });
    }

    return new Response(
      JSON.stringify({
        transcript: result.results.channels[0].alternatives[0].transcript,
      }),
      { headers: { 'Content-Type': 'application/json' } }
    );
  } catch (err) {
    return new Response(JSON.stringify({ error: 'Internal error' }), {
      status: 500,
      headers: { 'Content-Type': 'application/json' },
    });
  }
}

#!/bin/bash
# scripts/deploy.sh

set -e

ENVIRONMENT=$1

if [ -z "$ENVIRONMENT" ]; then
  echo "Usage: ./deploy.sh <staging|production>"
  exit 1
fi

echo "Deploying to $ENVIRONMENT..."

# Build
npm run build

# Run tests
npm test

# Deploy based on environment
case $ENVIRONMENT in
  staging)
    kubectl apply -f k8s/staging/
    kubectl rollout status deployment/deepgram-service -n staging
    ;;
  production)
    kubectl apply -f k8s/production/
    kubectl rollout status deployment/deepgram-service -n production
    ;;
  *)
    echo "Unknown environment: $ENVIRONMENT"
    exit 1
    ;;
esac

# Run smoke tests
npm run smoke-test

echo "Deployment complete!"

name	deepgram-deploy-integration
description	Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring production infrastructure, or setting up Deepgram in containerized environments. Trigger with phrases like "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud".
allowed-tools	Read, Write, Edit, Bash(gh:), Bash(curl:)
version	1.0.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>

name	deepgram-deploy-integration
description	Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring production infrastructure, or setting up Deepgram in containerized environments. Trigger with phrases like "deploy deepgram", "deepgram docker", "deepgram kubernetes", "deepgram production deploy", "deepgram cloud".
allowed-tools	Read, Write, Edit, Bash(gh:), Bash(curl:)
version	1.0.0
license	MIT
author	Jeremy Longshore <jeremy@intentsolutions.io>

deepgram-deploy-integration

설치 방법

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