Outdated information

Thanks — I hear you: the previous answer looked outdated and you want accurate, current guidance about which Claude model LiveKit users prefer and what to choose for a voice agent. Quick clarification so I can give the best, up-to-date help: • Are you asking which Claude model LiveKit officially recommends in docs/examples today, or which model is most commonly used by the LiveKit community (user telemetry/popularity)? • Do you want a recommendation focused strictly on low latency for real-time voice, or a balance of latency + maximum comprehension? What I can confirm right now: • LiveKit does not publish community-wide usage stats or a definitive “most-used” Claude model, so I cannot state community popularity. • LiveKit’s Anthropic plugin examples reference

claude-3-5-sonnet

as a supported/default model in docs. That makes Sonnet a commonly shown example in integration guides, but it does not equal a measured community preference. • For a voice agent where speed is a priority, earlier comparisons indicate Haiku variants are optimized for lower latency while Sonnet balances speed and capability, and Opus provides the highest reasoning at higher latency. Suggested next steps I can help with: • Run a short test plan comparing Haiku vs Sonnet on a representative set of voice prompts to measure real latency and response quality for your setup. • Recommend prompt-engineering and token-reduction patterns to reduce latency. • Suggest LiveKit agent settings (timeouts/retries/streaming strategy) that help keep voice conversations responsive. Tell me which clarification you want (docs vs community usage) and whether you want to run a quick latency+quality test — I’ll provide a targeted plan. Sources: Anthropic Claude LLM plugin guide | LiveKit Documentation