AI summarized from verified sources
Perplexity Scales Voice Search to Millions with Realtime API
Build stable voice agents in noisy environments for better UX.
SOURCE CHECK
2 sources
Sources
Key Points
- 1Incremental 2k token chunks for context.
- 2Rust SDK standardizes 48kHz Opus audio.
- 3Voice lock prevents interruptions.
- 4Narrow tools ensure stable JSON outputs.
Perplexity used OpenAI's Realtime API for voice search in Comet and Computer, handling millions of sessions monthly. Optimized context in 2k token chunks and audio pipelines with Rust SDK. Developers can now replicate production-grade low-latency voice agents easily.
What changed
Perplexity used OpenAI's Realtime API for voice search in Comet and Computer, handling millions of sessions monthly. Optimized context in 2k token chunks and audio pipelines with Rust SDK. Developers can now replicate production-grade low-latency voice agents easily.
Why it matters
Build stable voice agents in noisy environments for better UX.
What to watch
Build stable voice agents in noisy environments for better UX. Key checks: Incremental 2k token chunks for context. / Rust SDK standardizes 48kHz Opus audio. / Voice lock prevents interruptions..