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examples

Name: Examples
Author: deepgram

// Find working Deepgram integration examples with third-party platforms and frameworks. Use whenever someone wants to integrate Deepgram with Twilio, LiveKit, LangChain, Vercel AI SDK, Discord, Vonage, Pipecat, Expo, FastAPI, Cloudflare Workers, Slack, Telegram, LlamaIndex, Zoom, Next.js, Nuxt, Django, SvelteKit, NestJS, Spring Boot, CrewAI, Riverside, SignalWire, and more. Examples are full runnable integration demos, not minimal feature snippets.

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stars:8

forks:1

updated:24 de abril de 2026 às 12:42

SKILL.md

readonly

name

examples

description

Find working Deepgram integration examples with third-party platforms and frameworks. Use whenever someone wants to integrate Deepgram with Twilio, LiveKit, LangChain, Vercel AI SDK, Discord, Vonage, Pipecat, Expo, FastAPI, Cloudflare Workers, Slack, Telegram, LlamaIndex, Zoom, Next.js, Nuxt, Django, SvelteKit, NestJS, Spring Boot, CrewAI, Riverside, SignalWire, and more. Examples are full runnable integration demos, not minimal feature snippets.

Deepgram Examples

Working examples showing how to use Deepgram with popular platforms, frameworks, and ecosystems.

When to use examples

You're integrating Deepgram with a specific third-party service (telephony, video, LLM frameworks, bots, cloud platforms)
You want a runnable demo of a complete integration, not just SDK-level code
You want to see Deepgram slotted into a real-world architecture

Use a different skill when:

You want a minimal feature snippet (one product, one language, < 50 lines) → recipes skill
You want a clean starter app to extend with no third-party service → starters skill
You want the raw API contract → api skill

Browse examples

Repository: https://github.com/deepgram/examples

Examples are numbered (010, 020, ...) and each is a self-contained integration.

Category map

Category	Integrations	Common STT choice
Telephony	Twilio, Vonage, SignalWire, Daily.co, Asterisk/FreeSWITCH	Nova live (`/v1/listen`) for call transcription; Flux (`/v2/listen`) for AI-agent calls
Voice AI frameworks	LiveKit Agents, Pipecat, OpenAI Agents SDK, CrewAI	Flux (`/v2/listen`) — built-in turn detection; or Voice Agent (`/v1/agent/converse`) for full-pipeline
LLM frameworks	LangChain, LlamaIndex, Vercel AI SDK
Chat platforms	Discord, Slack, Telegram	Nova prerecorded (`/v1/listen`) for attachments
Web frameworks	Next.js, Nuxt, Django, SvelteKit, NestJS, Express + React, FastAPI, Spring Boot	Nova live (`/v1/listen`) for captions; Nova prerecorded for batch
Mobile / desktop	Expo, Flutter, Swift iOS, Kotlin Android, Tauri, Electron	Nova live (`/v1/listen`); Flux if the app is a voice agent
Cloud / serverless	AWS Lambda, Cloudflare Workers	Nova prerecorded (`/v1/listen`) — best fit for request/response
Recording platforms	Zoom, Riverside.fm	Nova prerecorded (`/v1/listen`)
Browser / no-bundler	Vanilla JavaScript	Nova live (`/v1/listen`) via the Browser SDK
LLM frameworks	LangChain, LlamaIndex, Vercel AI SDK	Nova or Flux depending on streaming vs batch
Low-code / automation	n8n community nodes	Nova (`/v1/listen`) for event-driven transcription

Install the related SDK skills

If your integration uses a specific Deepgram SDK, install its skills for language-idiomatic patterns:

npx skills add deepgram/deepgram-python-sdk     # Python
npx skills add deepgram/deepgram-js-sdk         # Node.js / TypeScript
npx skills add deepgram/deepgram-java-sdk       # Java
npx skills add deepgram/deepgram-go-sdk         # Go
npx skills add deepgram/deepgram-rust-sdk       # Rust
npx skills add deepgram/deepgram-dotnet-sdk     # C# / .NET
npx skills add deepgram/deepgram-swift-sdk      # Swift
npx skills add deepgram/deepgram-kotlin-sdk     # Kotlin
npx skills add deepgram/deepgram-browser-sdk    # Browser TypeScript

Related Deepgram skills

api — consolidated REST + WebSocket API reference
recipes — focused feature snippets (one feature, one language)
starters — starter apps without third-party integrations
docs — documentation finder
setup-mcp — Deepgram MCP server installation

related-skills.json

mesmo repositório

api.md

from "deepgram/skills"

Deepgram API reference for speech-to-text, text-to-speech, voice agents, audio intelligence, and account management. Use whenever building with Deepgram APIs — REST or WebSocket. Covers authentication, all endpoints, query parameters, request/response schemas, and WebSocket message formats. Reference files are organized by domain: listen (STT), speak (TTS), agent (voice agents), read (text/audio intelligence), models, projects, auth, and self-hosted.

2026-04-248

docs.md

from "deepgram/skills"

Find the right Deepgram documentation for any task. Use whenever someone needs help locating docs, understanding which API to use, or wants to ask questions about Deepgram. Covers all product areas: speech-to-text, text-to-speech, voice agents, audio intelligence, and self-hosted deployments.

2026-04-248

recipes.md

from "deepgram/skills"

Find focused, runnable Deepgram recipes for a specific feature × language. Use whenever someone wants a minimal working code snippet for ONE feature (transcribe URL, diarize, smart-format, voice agent connect, etc.) rather than a full starter app. Recipes are under 50 lines, read DEEPGRAM_API_KEY from env, and ship with a runnable example_test. Covers Python, JavaScript, Go, .NET, Java, Rust, and the Deepgram CLI.

2026-04-248

starters.md

from "deepgram/skills"

Clone a ready-to-run Deepgram demo app and start building on top of it. Use whenever someone wants a quick working demo, needs to prototype with Deepgram, or is starting a new project that uses speech-to-text, text-to-speech, voice agents, audio intelligence, or live streaming. Match the user's language, framework, and desired Deepgram feature to the right starter.

2026-04-248

template-skill.md

from "deepgram/skills"

Replace with description of the skill and when to use it.

2026-04-248

setup-mcp.md

from "deepgram/skills"

Set up the Deepgram MCP server for your AI coding tool. Checks whether the Deepgram CLI (dg/deepctl) is installed: if so, uses the local CLI MCP server (dg mcp) for full tool access; otherwise offers the hosted documentation MCP or suggests installing the CLI. Use whenever someone wants to install Deepgram's agentic tools, set up the MCP server, or connect their editor to Deepgram.

2026-03-318

package.json

"author": "deepgram"

"repository": "deepgram/skills"

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name

examples

description

Deepgram Examples

Working examples showing how to use Deepgram with popular platforms, frameworks, and ecosystems.

When to use examples

You're integrating Deepgram with a specific third-party service (telephony, video, LLM frameworks, bots, cloud platforms)
You want a runnable demo of a complete integration, not just SDK-level code
You want to see Deepgram slotted into a real-world architecture

Use a different skill when:

You want a minimal feature snippet (one product, one language, < 50 lines) → recipes skill
You want a clean starter app to extend with no third-party service → starters skill
You want the raw API contract → api skill

Browse examples

Repository: https://github.com/deepgram/examples

Examples are numbered (010, 020, ...) and each is a self-contained integration.

Category map

Category	Integrations	Common STT choice
Telephony	Twilio, Vonage, SignalWire, Daily.co, Asterisk/FreeSWITCH	Nova live (`/v1/listen`) for call transcription; Flux (`/v2/listen`) for AI-agent calls
Voice AI frameworks	LiveKit Agents, Pipecat, OpenAI Agents SDK, CrewAI	Flux (`/v2/listen`) — built-in turn detection; or Voice Agent (`/v1/agent/converse`) for full-pipeline
LLM frameworks	LangChain, LlamaIndex, Vercel AI SDK
Chat platforms	Discord, Slack, Telegram	Nova prerecorded (`/v1/listen`) for attachments
Web frameworks	Next.js, Nuxt, Django, SvelteKit, NestJS, Express + React, FastAPI, Spring Boot	Nova live (`/v1/listen`) for captions; Nova prerecorded for batch
Mobile / desktop	Expo, Flutter, Swift iOS, Kotlin Android, Tauri, Electron	Nova live (`/v1/listen`); Flux if the app is a voice agent
Cloud / serverless	AWS Lambda, Cloudflare Workers	Nova prerecorded (`/v1/listen`) — best fit for request/response
Recording platforms	Zoom, Riverside.fm	Nova prerecorded (`/v1/listen`)
Browser / no-bundler	Vanilla JavaScript	Nova live (`/v1/listen`) via the Browser SDK
LLM frameworks	LangChain, LlamaIndex, Vercel AI SDK	Nova or Flux depending on streaming vs batch
Low-code / automation	n8n community nodes	Nova (`/v1/listen`) for event-driven transcription

Install the related SDK skills

If your integration uses a specific Deepgram SDK, install its skills for language-idiomatic patterns:

npx skills add deepgram/deepgram-python-sdk     # Python
npx skills add deepgram/deepgram-js-sdk         # Node.js / TypeScript
npx skills add deepgram/deepgram-java-sdk       # Java
npx skills add deepgram/deepgram-go-sdk         # Go
npx skills add deepgram/deepgram-rust-sdk       # Rust
npx skills add deepgram/deepgram-dotnet-sdk     # C# / .NET
npx skills add deepgram/deepgram-swift-sdk      # Swift
npx skills add deepgram/deepgram-kotlin-sdk     # Kotlin
npx skills add deepgram/deepgram-browser-sdk    # Browser TypeScript

Related Deepgram skills

api — consolidated REST + WebSocket API reference
recipes — focused feature snippets (one feature, one language)
starters — starter apps without third-party integrations
docs — documentation finder
setup-mcp — Deepgram MCP server installation

examples

Deepgram Examples

When to use examples

Browse examples

Category map

Install the related SDK skills

Related Deepgram skills

Mais deste repositório

Mais deste repositório

Deepgram Examples

When to use examples

Browse examples

Category map

Install the related SDK skills

Related Deepgram skills