Skip to main content الرئيسية المنشئون jeremylongshore tons-of-skills-marketplace deepgram-ci-integration
deepgram-ci-integration Configure Deepgram CI/CD integration for automated testing and deployment.
Use when setting up continuous integration pipelines, automated testing,
or deployment workflows for Deepgram integrations.
Trigger: "deepgram CI", "deepgram CD", "deepgram pipeline",
"deepgram github actions", "deepgram automated testing".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill deepgram-ci-integrationيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المزيد من هذا المستودع langchain-deploy-integration Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".
langchain-langgraph-agents Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".
langchain-langgraph-human-in-loop Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before /
interrupt_after and Command(resume=...) — JSON-serializable state, clean
resume semantics, and UI wiring for approval decisions. Use when adding an
approval gate before an expensive tool call, wiring a Slack/web UI for agent
approvals, or debugging a graph that crashes on interrupt.
Trigger with "langgraph human in loop", "langgraph interrupt_before",
"langgraph approval flow", "Command resume", "langgraph HITL".
name deepgram-ci-integration description Configure Deepgram CI/CD integration for automated testing and deployment.
Use when setting up continuous integration pipelines, automated testing,
or deployment workflows for Deepgram integrations.
Trigger: "deepgram CI", "deepgram CD", "deepgram pipeline",
"deepgram github actions", "deepgram automated testing".
allowed-tools Read, Write, Edit, Bash(gh:*), Bash(curl:*) version 1.13.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","deepgram","deployment","testing","ci-cd"] compatibility Designed for Claude Code
Deepgram CI Integration
Overview
Set up CI/CD pipelines for Deepgram integrations with GitHub Actions. Includes unit tests with mocked SDK, integration tests against the real API, smoke tests, automated key rotation, and deployment gates.
Prerequisites
GitHub repository with Actions enabled
DEEPGRAM_API_KEY stored as repository secret@deepgram/sdk and vitest installedTest fixtures committed (or downloaded in CI)
Instructions
Step 1: GitHub Actions Workflow
name: Deepgram CI
on:
push:
branches: [main ]
pull_request:
branches: [main ]
env:
NODE_VERSION: '20'
jobs:
unit-tests:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: ${{ env.NODE_VERSION }}
cache: npm
- run: npm ci
- run: npm run lint
- run: npm
run
typecheck
-
run:
npm
test
--
--reporter=verbose
integration-tests:
runs-on:
ubuntu-latest
needs:
unit-tests
if:
github.event_name
==
'push'
||
github.event.pull_request.head.repo.full_name
==
github.repository
steps:
-
uses:
actions/checkout@v4
-
uses:
actions/setup-node@v4
with:
node-version:
${{
env.NODE_VERSION
}}
cache:
npm
-
run:
npm
ci
-
run:
npm
run
test:integration
env:
DEEPGRAM_API_KEY:
${{
secrets.DEEPGRAM_API_KEY
}}
timeout-minutes:
5
smoke-test:
runs-on:
ubuntu-latest
needs:
integration-tests
steps:
-
uses:
actions/checkout@v4
-
uses:
actions/setup-node@v4
with:
node-version:
${{
env.NODE_VERSION
}}
cache:
npm
-
run:
npm
ci
&&
npm
run
build
-
name:
Smoke
test
run:
npx
tsx
scripts/smoke-test.ts
env:
DEEPGRAM_API_KEY:
${{
secrets.DEEPGRAM_API_KEY
}}
timeout-minutes:
2
Step 2: Integration Test Suite
import { describe, it, expect, beforeAll } from 'vitest' ;
import { createClient, DeepgramClient } from '@deepgram/sdk' ;
const SAMPLE_URL = 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav' ;
describe ('Deepgram Integration' , () => {
let client : DeepgramClient ;
beforeAll (() => {
const key = process.env .DEEPGRAM_API_KEY ;
if (!key) throw new Error ('DEEPGRAM_API_KEY required for integration tests' );
client = createClient (key);
});
it ('authenticates successfully' , async () => {
const { result, error } = await client.manage .getProjects ();
expect (error).toBeNull ();
expect (result.projects .length ).toBeGreaterThan (0 );
});
it ('transcribes pre-recorded audio with Nova-3' , async () => {
const { result, error } = await client.listen .prerecorded .transcribeUrl (
{ url : SAMPLE_URL },
{ model : 'nova-3' , smart_format : true }
);
expect (error).toBeNull ();
const alt = result.results .channels [0 ].alternatives [0 ];
expect (alt.transcript ).toContain ('Life' );
expect (alt.confidence ).toBeGreaterThan (0.85 );
}, 30000 );
it ('returns word-level timing' , async () => {
const { result } = await client.listen .prerecorded .transcribeUrl (
{ url : SAMPLE_URL },
{ model : 'nova-3' }
);
const words = result.results .channels [0 ].alternatives [0 ].words ;
expect (words).toBeDefined ();
expect (words!.length ).toBeGreaterThan (0 );
expect (words![0 ]).toHaveProperty ('start' );
expect (words![0 ]).toHaveProperty ('end' );
expect (words![0 ]).toHaveProperty ('confidence' );
}, 30000 );
it ('speaker diarization identifies speakers' , async () => {
const { result } = await client.listen .prerecorded .transcribeUrl (
{ url : SAMPLE_URL },
{ model : 'nova-3' , diarize : true }
);
const words = result.results .channels [0 ].alternatives [0 ].words ;
expect (words?.some ((w : any w.speaker !== undefined )).toBe (true );
}, 30000 );
it ('TTS generates audio stream' , async () => {
const response = await client.speak .request (
{ text : 'CI test.' },
{ model : 'aura-2-thalia-en' , encoding : 'linear16' , container : 'wav' }
);
const stream = await response.getStream ();
expect (stream).toBeTruthy ();
}, 15000 );
});
Step 3: Smoke Test Script
import { createClient } from '@deepgram/sdk' ;
const SAMPLE_URL = 'https://static.deepgram.com/examples/Bueller-Life-moves-702702706.wav' ;
async function smokeTest (console .log ('Deepgram Smoke Test' );
console .log ('=' .repeat (40 ));
const client = createClient (process.env .DEEPGRAM_API_KEY !);
let passed = 0 ;
let failed = 0 ;
try {
const { error } = await client.manage .getProjects ();
if (error) throw error;
console .log ('[PASS] Authentication' );
passed++;
} catch (err : any ) {
console .error (`[FAIL] Authentication: ${err.message} ` );
failed++;
}
try {
const { result, error } = await client.listen .prerecorded .transcribeUrl (
{ url : SAMPLE_URL },
{ model : 'nova-3' , smart_format : true }
);
if (error) throw error;
if (!result.results .channels [0 ].alternatives [0 ].transcript ) {
throw new Error ('Empty transcript' );
}
console .log ('[PASS] Pre-recorded transcription' );
passed++;
} catch (err : any ) {
console .error (`[FAIL] Pre-recorded transcription: ${err.message} ` );
failed++;
}
try {
const response = await client.speak .request (
{ text : 'Smoke test.' },
{ model : 'aura-2-thalia-en' }
);
const stream = await response.getStream ();
if (!stream) throw new Error ('No audio stream' );
console .log ('[PASS] Text-to-speech' );
passed++;
} catch (err : any ) {
console .error (`[FAIL] Text-to-speech: ${err.message} ` );
failed++;
}
console .log (`\nResults: ${passed} passed, ${failed} failed` );
process.exit (failed > 0 ? 1 : 0 );
}
smokeTest ();
Step 4: Package.json Scripts {
"scripts" : {
"test" : "vitest run" ,
"test:watch" : "vitest --watch" ,
"test:integration" : "vitest run tests/integration/" ,
"test:smoke" : "tsx scripts/smoke-test.ts" ,
"lint" : "eslint src/ tests/" ,
"typecheck" : "tsc --noEmit"
}
}
Step 5: Vitest Configuration
import { defineConfig } from 'vitest/config' ;
export default defineConfig ({
test : {
globals : true ,
environment : 'node' ,
include : ['tests/**/*.test.ts' ],
exclude : ['tests/integration/**' ],
coverage : {
include : ['src/**' ],
reporter : ['text' , 'lcov' ],
},
},
});
Step 6: Automated Key Rotation (Scheduled)
name: Rotate Deepgram API Key
on:
schedule:
- cron: '0 0 1 */3 *'
workflow_dispatch:
jobs:
rotate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
- run: npm ci
- name: Rotate key
run: |
NEW_KEY=$(npx tsx scripts/rotate-key.ts)
gh secret set DEEPGRAM_API_KEY --body "$NEW_KEY"
echo "Key rotated successfully"
env:
DEEPGRAM_ADMIN_KEY: ${{ secrets.DEEPGRAM_ADMIN_KEY }}
DEEPGRAM_PROJECT_ID: ${{ secrets.DEEPGRAM_PROJECT_ID }}
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
Output
GitHub Actions workflow (unit -> integration -> smoke)
Integration test suite covering STT, diarization, TTS
Smoke test script with pass/fail exit codes
Vitest configuration with integration test separation
Quarterly key rotation workflow
Error Handling Issue Cause Resolution Integration tests 401 Secret not set or expired Rotate DEEPGRAM_API_KEY secret Smoke test timeout API latency Increase timeout-minutes Tests pass locally, fail in CI Missing env var Check secrets are set in repo settings Fork PRs can't access secrets GitHub security Skip integration tests on fork PRs
Resources 