$npx skillfedfor your agent

livekit-plugins-cartesia

LiveKit Agents Plugin for Cartesia

Worth itPyPI Artificial IntelligenceReleased Aug 20261.3M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — livekit_plugins_cartesia-1.6.10-py3-none-any.whl
v1.6.10 · released 2026-08-13 · Python >=3.10.0 · 1 runtime deps: livekit-agents

Yes. The package is actively maintained (released 1 day ago), has low installation friction, permissive licensing, no known vulnerabilities, and integrates a well-documented third-party voice service into a popular framework. Install if you need Cartesia's voice AI in a LiveKit Agents application and have a valid API key.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10 or later and a valid Cartesia API key set as the CARTESIA_API_KEY environment variable.
  • Low friction installation as a pure Python wheel.
  • Actively maintained with a release 1 day old and a well-starred upstream repository (13003 stars).

License · maintenance · safety

Apache-2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions.

last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,003 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,311,026 downloads/mo, #4,074 on PyPI

Verify before relying

pip install livekit-plugins-cartesia

import livekit_plugins_cartesia
# Set CARTESIA_API_KEY environment variable, then use Cartesia STT/TTS with LiveKit Agents
  • Whether Cartesia STT and TTS are feature-complete or have known limitations compared to other providers.
  • Pricing and rate limits for Cartesia API calls through this plugin.
  • Whether the plugin supports streaming audio or only batch processing.
Same gist for agents: .md · .json

What it is and what it does

This package provides a plugin that connects Cartesia's voice AI services to the LiveKit Agents framework, enabling real-time speech-to-text and text-to-speech capabilities in video and audio applications. It acts as a bridge between LiveKit's agent orchestration layer and Cartesia's API, allowing developers to build voice-interactive applications without directly managing Cartesia's HTTP endpoints.

The plugin requires a Cartesia API key and integrates as a standard LiveKit Agents component. It supports Python 3.10 and later, and is distributed as a pure Python wheel with a single runtime dependency on livekit-agents. The package is actively maintained and part of the larger LiveKit agents ecosystem.

Use it for

  • Build real-time voice chatbots that transcribe user speech and synthesize responses in live video calls.
  • Add voice AI capabilities to LiveKit conference applications for automated transcription and voice commands.
  • Create voice-driven interactive agents that listen, process, and speak within a LiveKit session.
  • Integrate Cartesia's voice quality into existing LiveKit Agents workflows without custom API management.
  • Develop accessibility features that provide real-time speech-to-text and text-to-speech in live meetings.

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 (released 1 day ago), has low installation friction, permissive licensing, no known vulnerabilities, and integrates a well-documented third-party voice service into a popular framework. Install if you need Cartesia's voice AI in a LiveKit Agents application and have a valid API key.

Install

livekit-plugins-cartesia on PyPI

Before you install

Low friction installation as a pure Python wheel. Actively maintained with a release 1 day old and a well-starred upstream repository (13003 stars). Single runtime dependency on livekit-agents.

Requires Python 3.10 or later and a valid Cartesia API key set as the CARTESIA_API_KEY environment variable.

License in practice

Apache 2.0 permissive license allows commercial and private use with minimal restrictions.

Quickstart

pip install livekit-plugins-cartesia

import livekit_plugins_cartesia
# Set CARTESIA_API_KEY environment variable, then use Cartesia STT/TTS with LiveKit Agents

Verify before relying

  • Whether Cartesia STT and TTS are feature-complete or have known limitations compared to other providers.
  • Pricing and rate limits for Cartesia API calls through this plugin.
  • Whether the plugin supports streaming audio or only batch processing.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
livekit-agents
MaintenanceActively maintained 1 days since the last release
Last repo commit
First released
Downloads1,311,026 / month, #4,074 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_cartesia-1.6.10-py3-none-any.whl

Tags

Capabilities
cartesia voice ai integrationlivekit agents stt ttsreal-time speech recognition synthesiscartesia api pluginvoice ai for live videolivekit voice agentscartesia speech services
Topics
voice-aireal-time-communicationlivekit-plugin
PyPI keywords
aiaudiocartesialivekitrealtimevideovoice

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 › “cartesia voice ai integration”

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 cartesia · livekit-plugins-deepgram · livekit-plugins-google · livekit-plugins-sarvam · livekit-plugins-gladia · livekit-plugins-assemblyai · livekit-plugins-azure · livekit-plugins-inworld · livekit-plugins-openai · livekit-plugins-soniox

Further reading