recipes | SkillBundle

Deepgram Recipes

Agent-maintained micro-recipes showing how to use every Deepgram SDK feature across every supported language. Each recipe is a focused, runnable snippet — not a full app.

When to use recipes

You know the product and feature; you want the shortest working code
You want example.py / example.js / example.go / etc. you can copy into your project
You want a language-specific answer to "how do I call {feature} with the Deepgram SDK?"

Use a different skill when:

You want a full starter app with a web UI, deploy config, etc. → starters skill
You want integration with a third-party platform (Twilio, LiveKit, Vercel AI SDK, Discord, etc.) → examples skill
You want the full API contract (params, responses, message shapes) → api skill

Browse recipes

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

Coverage matrix: https://github.com/deepgram/recipes/blob/main/COVERAGE.md

Recipe structure

recipes/{language}/{product}/{version}/{recipe}/
  example.{ext}       # runnable, < 50 lines, reads DEEPGRAM_API_KEY from env
  example_test.{ext}  # runs the example as a subprocess, asserts output
  README.md           # feature explanation, params, sample output, how to run

Products covered

Product	Recipe examples
Speech-to-Text — Nova (`/v1/listen`)	transcribe-url, transcribe-file, paragraphs, diarize, smart-format, utterances, summarize, sentiment, topics, intents, detect-entities, detect-language, redact, search, keywords, streaming
Speech-to-Text — Flux (`/v2/listen`)	streaming conversational transcription, EOT / eager-EOT, mid-session `Configure`, keyterms
Text-to-Speech	generate-audio, stream-audio, websocket-streaming, select-model, select-encoding
Audio Intelligence	summarize, sentiment, topics, intents, entities
Voice Agents	connect, custom-llm, custom-tts, function-calling

Nova is the general-purpose STT family; Flux is designed for conversational audio and voice agents. Both are actively maintained — see the api skill's "Nova vs Flux" section for the decision guide.

Languages

Python, JavaScript, Go, .NET, Java, Rust, plus the Deepgram CLI (dg / deepctl).

Install the related SDK skills

For language-idiomatic patterns beyond a single recipe (full quick-starts, common patterns, gotchas), install the SDK-specific skills:

npx skills add deepgram/deepgram-python-sdk     # Python
npx skills add deepgram/deepgram-js-sdk         # JavaScript / TypeScript
npx skills

Related Deepgram skills

api — consolidated REST + WebSocket API reference
examples — third-party platform integrations (Twilio, LiveKit, LangChain, etc.)
starters — runnable starter apps (framework × feature matrix)
docs — documentation finder
setup-mcp — Deepgram MCP server installation

Deepgram Recipes

Agent-maintained micro-recipes showing how to use every Deepgram SDK feature across every supported language. Each recipe is a focused, runnable snippet — not a full app.

When to use recipes

You know the product and feature; you want the shortest working code
You want example.py / example.js / example.go / etc. you can copy into your project
You want a language-specific answer to "how do I call {feature} with the Deepgram SDK?"

Use a different skill when:

You want a full starter app with a web UI, deploy config, etc. → starters skill
You want integration with a third-party platform (Twilio, LiveKit, Vercel AI SDK, Discord, etc.) → examples skill
You want the full API contract (params, responses, message shapes) → api skill

Browse recipes

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

Coverage matrix: https://github.com/deepgram/recipes/blob/main/COVERAGE.md

Recipe structure

recipes/{language}/{product}/{version}/{recipe}/
  example.{ext}       # runnable, < 50 lines, reads DEEPGRAM_API_KEY from env
  example_test.{ext}  # runs the example as a subprocess, asserts output
  README.md           # feature explanation, params, sample output, how to run

Products covered

Product	Recipe examples
Speech-to-Text — Nova (`/v1/listen`)	transcribe-url, transcribe-file, paragraphs, diarize, smart-format, utterances, summarize, sentiment, topics, intents, detect-entities, detect-language, redact, search, keywords, streaming
Speech-to-Text — Flux (`/v2/listen`)	streaming conversational transcription, EOT / eager-EOT, mid-session `Configure`, keyterms
Text-to-Speech	generate-audio, stream-audio, websocket-streaming, select-model, select-encoding
Audio Intelligence	summarize, sentiment, topics, intents, entities
Voice Agents	connect, custom-llm, custom-tts, function-calling

Languages

Python, JavaScript, Go, .NET, Java, Rust, plus the Deepgram CLI (dg / deepctl).

Install the related SDK skills

For language-idiomatic patterns beyond a single recipe (full quick-starts, common patterns, gotchas), install the SDK-specific skills:

npx skills add deepgram/deepgram-python-sdk     # Python
npx skills add deepgram/deepgram-js-sdk         # JavaScript / TypeScript
npx skills

Related Deepgram skills

api — consolidated REST + WebSocket API reference
examples — third-party platform integrations (Twilio, LiveKit, LangChain, etc.)
starters — runnable starter apps (framework × feature matrix)
docs — documentation finder
setup-mcp — Deepgram MCP server installation