{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"},{"label":"Sound/Audio","url":"https://skillfed.io/packages/category/multimedia-sound-audio"},{"label":"Video","url":"https://skillfed.io/packages/category/multimedia-video"}],"enrichment":{"capability":"A framework for building realtime multimodal and voice AI agents that connect to LiveKit rooms and handle audio/video interactions with language models.","skillfed_tags":["realtime-ai","voice-agents","webrtc"],"use_cases":["Build a voice assistant that joins a LiveKit room and responds to participant speech in real time","Create a multimodal agent that processes both audio and video feeds to understand context and generate responses","Deploy a customer support bot that handles live calls or video meetings with AI-driven conversation","Integrate openai's Realtime API into a LiveKit application for low-latency voice interactions","Monitor and observe agent behavior using opentelemetry-api and prometheus-client in production"],"what_it_does":"LiveKit Agents is a Python framework for building production-grade AI agents that operate in realtime audio and video environments. It integrates with LiveKit rooms (a WebRTC infrastructure) to connect agents to live participants, handle multimodal input, and orchestrate responses through language models like openai. The framework abstracts away the complexity of managing async I/O, protocol buffers, and agent lifecycle, letting you focus on defining agent behavior through instructions and callbacks.\n\nThe package ships with 31 runtime dependencies spanning async HTTP clients, audio/video codecs (av), LLM integrations (openai), observability (opentelemetry-api, opentelemetry-exporter-otlp, opentelemetry-sdk), and LiveKit's own protocol and inference libraries. It targets Python 3.10\u20133.14 and is designed for scenarios where agents need to respond to live voice or video in a room, making it suitable for customer support bots, meeting assistants, or interactive voice applications.","worth_installing":"Yes. The package is actively maintained with no known vulnerabilities, uses a permissive Apache-2.0 license, and installs with low friction. It is well-positioned for production voice and video AI agents if you are building realtime AI applications. The large dependency footprint (31 packages) is justified by the breadth of functionality; verify compatibility with your environment before committing."},"id":"livekit-agents","links":{"html":"https://skillfed.io/packages/livekit-agents","md":"https://skillfed.io/packages/livekit-agents.md","pypi":"https://pypi.org/project/livekit-agents/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"livekit-agents","python_support":"supports_current","summary":"A powerful framework for building realtime voice AI agents"},"popularity":{"monthly_downloads":4478869,"position":2294,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.6.10"}