livekit-plugins-anthropic
Agent Framework plugin for services from Anthropic
Decision gist · record as of 2026-08-14
Yes, if you are building voice or multi-modal agents with LiveKit and want to use Claude as your LLM. The package is actively maintained, has no known vulnerabilities, installs with low friction, and integrates cleanly into the LiveKit Agents framework. Install it only if you have already chosen LiveKit Agents as your agent platform and Anthropic as your model provider; it is not a standalone tool.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; Anthropic API key must be set in environment or passed explicitly.
- Low friction installation as a pure Python wheel.
- The package is actively maintained with a release from 2026-08-13, and the parent LiveKit Agents framework has strong community presence with 13003 repository stars.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for proprietary applications.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,003 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 984,416 downloads/mo, #4,577 on PyPI
Alternatives
Verify before relying
pip install livekit-plugins-anthropic
from livekit.plugins import anthropic
from livekit.agents import AgentSession
session = AgentSession(
llm=anthropic.LLM(model="claude-3-5-sonnet"),
# combine with STT, TTS, and other components
)- Which specific Claude models are supported by version 1.6.10 and their performance characteristics.
- Whether the plugin supports streaming responses or only batch inference.
- Pricing or rate-limit behavior when used with LiveKit Inference versus direct Anthropic keys.
What it is and what it does
This package is a plugin that bridges Anthropic's Claude language models into the LiveKit Agents framework, a server-side framework for building real-time voice and multi-modal AI agents. It acts as the LLM component in a larger agent pipeline that typically includes speech-to-text, text-to-speech, and voice activity detection. The plugin lets you drop Claude into an AgentSession alongside other LiveKit components to handle natural language understanding and generation in live conversations.
The package depends on anthropic, httpx, and livekit-agents, and is designed to work within LiveKit's ecosystem for building conversational agents that can see, hear, and understand. It's one of several model-provider plugins available in the LiveKit Agents ecosystem, allowing developers to choose Claude as their LLM backend for voice interactions, multi-agent handoffs, and tool-calling workflows.
Use it for
- Build a voice assistant that uses Claude for reasoning and conversation, integrated with LiveKit's real-time WebRTC infrastructure.
- Create multi-agent workflows where Claude handles complex reasoning tasks while other agents manage user interaction or specialized functions.
- Deploy a telephony-integrated voice agent that accepts calls and uses Claude to understand and respond to callers in real time.
- Test and iterate on agent behavior using LiveKit's built-in test framework with Claude as the language model backend.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building voice or multi-modal agents with LiveKit and want to use Claude as your LLM.
The package is actively maintained, has no known vulnerabilities, installs with low friction, and integrates cleanly into the LiveKit Agents framework. Install it only if you have already chosen LiveKit Agents as your agent platform and Anthropic as your model provider; it is not a standalone tool.
Install
livekit-plugins-anthropic on PyPI
Before you install
Low friction installation as a pure Python wheel. The package is actively maintained with a release from 2026-08-13, and the parent LiveKit Agents framework has strong community presence with 13003 repository stars.
Requires Python 3.10 or later; Anthropic API key must be set in environment or passed explicitly.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for proprietary applications.
Quickstart
pip install livekit-plugins-anthropic
from livekit.plugins import anthropic
from livekit.agents import AgentSession
session = AgentSession(
llm=anthropic.LLM(model="claude-3-5-sonnet"),
# combine with STT, TTS, and other components
)Verify before relying
- Which specific Claude models are supported by version 1.6.10 and their performance characteristics.
- Whether the plugin supports streaming responses or only batch inference.
- Pricing or rate-limit behavior when used with LiveKit Inference versus direct Anthropic keys.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesanthropichttpxlivekit-agents |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 984,416 / month, #4,577 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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_anthropic-1.6.10-py3-none-any.whl
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See also livekit-plugins-assemblyai · livekit-plugins-rime · livekit-plugins-anam · livekit-plugins-groq · livekit-plugins-elevenlabs · livekit-agents · ai-parrot · pipecat-ai · llm-anthropic · tom-swe