$npx skillfedfor your agent

livekit-plugins-deepgram

Agent Framework plugin for services using Deepgram's API.

Worth itPyPI Artificial IntelligenceReleased Aug 20262.7M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — livekit_plugins_deepgram-1.6.10-py3-none-any.whl
v1.6.10 · released 2026-08-13 · Python >=3.10.0 · 2 runtime deps: livekit-agents, numpy

Yes. The package is actively maintained, has no known vulnerabilities, and integrates cleanly into the LiveKit ecosystem with low install friction. Install it if you are building LiveKit Agents that need Deepgram's speech-to-text or text-to-speech services. You will need a Deepgram API key to use it.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a valid Deepgram API key set as the DEEPGRAM_API_KEY environment variable; Python 3.10 or later (requires_python >=3.10.0).
  • Low install friction with a pure-Python wheel distribution.
  • Actively maintained with a release on 2026-08-13 and no known vulnerabilities.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.

last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,002 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,672,833 downloads/mo, #2,949 on PyPI

Verify before relying

pip install livekit-plugins-deepgram

# Set DEEPGRAM_API_KEY environment variable before use
import livekit_plugins_deepgram
  • Whether Deepgram API key setup is required before any functionality works
  • Specific audio format or codec support details beyond the integration scope
  • How the plugin exposes STT and TTS functionality through livekit-agents
Same gist for agents: .md · .json

What it is and what it does

This package is a plugin that bridges Deepgram's voice AI platform with LiveKit Agents, enabling speech-to-text and text-to-speech capabilities in agent-based applications. It wraps Deepgram's API behind the livekit-agents framework, allowing developers to add voice transcription and synthesis to real-time communication workflows.

The plugin is designed for applications that need to process voice in real-time—such as live transcription, voice-driven agents, or automated voice responses. It depends on livekit-agents for framework integration and numpy for numerical operations, and requires a Deepgram API key to function.

Use it for

  • Add live transcription to video conferencing applications powered by LiveKit Agents.
  • Build voice-controlled agents that understand and respond to spoken input.
  • Implement automated voice responses in real-time communication systems.
  • Create accessibility features that transcribe or synthesize speech in agent workflows.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, and integrates cleanly into the LiveKit ecosystem with low install friction. Install it if you are building LiveKit Agents that need Deepgram's speech-to-text or text-to-speech services. You will need a Deepgram API key to use it.

Install

livekit-plugins-deepgram on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Actively maintained with a release on 2026-08-13 and no known vulnerabilities. Depends only on livekit-agents and numpy.

Requires a valid Deepgram API key set as the DEEPGRAM_API_KEY environment variable; Python 3.10 or later (requires_python >=3.10.0).

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install livekit-plugins-deepgram

# Set DEEPGRAM_API_KEY environment variable before use
import livekit_plugins_deepgram

Verify before relying

  • Whether Deepgram API key setup is required before any functionality works
  • Specific audio format or codec support details beyond the integration scope
  • How the plugin exposes STT and TTS functionality through livekit-agents

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
2 packages
livekit-agentsnumpy
MaintenanceActively maintained 1 days since the last release
Last repo commit
First released
Downloads2,672,833 / month, #2,949 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Topic :: Multimedia :: Sound/AudioTopic :: Multimedia :: VideoTopic :: Scientific/Engineering :: Artificial Intelligence

Evidence: livekit_plugins_deepgram-1.6.10-py3-none-any.whl

Tags

Capabilities
deepgram speech to textlivekit agent integrationreal-time voice aideepgram tts stt pluginlive audio transcriptionvoice ai agents
Topics
voice-aireal-time-audiolivekit-plugin
PyPI keywords
aiaudiodeepgramlivekitrealtimevideovoice

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “real-time voice ai”

Give your agent the search over MCP, or paste the wish link into any chat.

More Artificial Intelligence packages

litellm With conditions
PyPI · Artificial Intelligence · released Aug 2026

LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.

Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.

MITcompiled wheel
682.8Mdownloads / mo
huggingface-hub Worth it
PyPI · Artificial Intelligence · released Aug 2026

Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.

Install it if you work with Hugging Face Hub models or datasets.

Apache-2.0pure Python · 3.10.0+
442.4Mdownloads / mo
langchain Worth it
PyPI · Python Modules · released Aug 2026

LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.

MITpure Python
315.4Mdownloads / mo
hf-xet With conditions
PyPI · Artificial Intelligence · released Aug 2026

hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.

Apache-2.0compiled wheel · 3.8+
258.4Mdownloads / mo
tokenizers Worth it
PyPI · Artificial Intelligence · released Apr 2026

Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.

Apache-2.0compiled wheel · 3.10+
222.9Mdownloads / mo
transformers Worth it
PyPI · Artificial Intelligence · released Aug 2026

Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.

Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.

permissive licensepure Python · 3.10.0+
186.6Mdownloads / mo

See also deepgram-sdk · livekit-plugins-aws · livekit-plugins-cartesia · livekit-plugins-sarvam · livekit-plugins-soniox · livekit-plugins-google · livekit-plugins-inworld · livekit-plugins-gladia · livekit-plugins-azure · livekit-plugins-speechmatics

Further reading