Perplexity with LiveKit Agents - Perplexity

2026-02-04 · Source: perplexity.ai via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

The `livekit-plugins-perplexity` package integrates Perplexity's OpenAI-compatible chat completions endpoint into LiveKit Agents, an open-source framework for building realtime voice and multimodal AI agents. This plugin allows LiveKit voice agents to generate web-grounded, citation-backed responses. Installation is performed via `pip install "livekit-agents[perplexity]"`, and requires setting a Perplexity API key as an environment variable or passing it directly to the `perplexity.LLM` constructor. The plugin reuses the OpenAI plugin's chat completions transport, setting `base_url="https://api.perplexity.ai"` and including an `X-Pplx-Integration` header. It supports configuration options like `model` (defaulting to `sonar-pro`), `temperature`, `top_p`, and `parallel_tool_calls`, compatible with any model exposed through the Perplexity Agent API.

Key takeaway

For AI Engineers building realtime voice agents, integrating `livekit-plugins-perplexity` allows your agents to provide web-grounded, citation-backed responses. This enhances factual accuracy and currency, making your agents more reliable for information retrieval tasks. You should configure the `perplexity.LLM` with appropriate models and parameters to optimize agent performance and response quality.

Key insights

The `livekit-plugins-perplexity` package enables LiveKit Agents to use Perplexity's web-grounded LLMs.

Principles

• Leverage existing OpenAI-compatible APIs for broader integration.
• Attribute API usage with custom headers for tracking.

Method

Install `livekit-agents[perplexity]`, set the `PERPLEXITY_API_KEY`, and instantiate `perplexity.LLM` within a LiveKit Agent session, configuring parameters like `model` and `temperature`.

In practice

• Integrate Perplexity's `sonar-pro` model into LiveKit voice agents.
• Utilize web search capabilities for up-to-date responses.
• Configure LLM parameters like `temperature` for response control.

Topics

• LiveKit Agents
• Perplexity API
• LLM Integration
• AI Voice Agents
• OpenAI Compatible API

Code references

• livekit/agents

Best for: AI Engineer, NLP Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by perplexity.ai via Google News.