{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"},{"label":"Sound/Audio","url":"https://skillfed.io/packages/category/multimedia-sound-audio"},{"label":"Video","url":"https://skillfed.io/packages/category/multimedia-video"}],"enrichment":{"capability":"Integrates xAI's Grok LLM with LiveKit's Agent Framework to enable voice agents that can understand and respond in real-time conversations.","skillfed_tags":["voice-agents","realtime-ai","llm-plugin"],"use_cases":["Build a customer support voice agent powered by Grok that can handle real-time phone or video calls through LiveKit's telephony and WebRTC stack.","Create a multi-agent handoff system where Grok serves as the primary conversational model, routing users between specialized agents based on intent.","Deploy a voice assistant that uses Grok's reasoning capabilities to answer complex questions or perform tool-based tasks during live conversations.","Integrate Grok into an existing LiveKit agent application to compare its performance or cost against other LLM providers without rewriting session logic.","Build a testing or evaluation framework that uses Grok to validate agent behavior in automated voice interaction scenarios."],"what_it_does":"This package is a plugin that connects xAI's Grok language model to LiveKit's Agent Framework, enabling developers to build voice agents powered by Grok. It acts as a bridge between the LiveKit agent runtime (which handles speech-to-text, text-to-speech, session management, and WebRTC communication) and xAI's Grok LLM API, allowing you to swap Grok in as the conversational intelligence layer of a voice agent.\n\nThe plugin is designed to work within the broader LiveKit ecosystem, which supports building multi-modal, real-time conversational agents that can see, hear, and respond. By using this xAI plugin, you specify Grok as your LLM choice when creating an AgentSession, and the framework handles the rest\u2014routing user input to Grok, receiving responses, and feeding them back to the agent's text-to-speech pipeline. It follows the same integration pattern as other LiveKit model provider plugins.","worth_installing":"Yes, if you want to use Grok as the LLM in a LiveKit voice agent. The plugin is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively. Install it only if you have xAI API access and are already building with LiveKit Agents; it is a provider-specific plugin, not a standalone tool."},"id":"livekit-plugins-xai","links":{"html":"https://skillfed.io/packages/livekit-plugins-xai","md":"https://skillfed.io/packages/livekit-plugins-xai.md","pypi":"https://pypi.org/project/livekit-plugins-xai/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"livekit-plugins-xai","python_support":"supports_current","summary":"Agent Framework plugin for xAI"},"popularity":{"monthly_downloads":269412,"position":8260,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.6.10"}