Thanks — I hear you want the agent to feel more responsive and are willing to pay more to make preemptive generation more “aggressive.” I’ll explain what you can and can’t change, plus practical steps you can take. Short answer • You cannot directly set an “aggressiveness” parameter for preemptive generation. Preemptive generation starts when a partial transcript arrives, so you influence it by making transcripts arrive earlier and by reducing conditions that cause speculative outputs to be discarded. Ways to make preemptive generation trigger earlier / more often • Use a faster streaming STT model (e.g., low-latency/streaming models). Faster interim transcripts let preemptive generation begin sooner. • Configure the STT endpointing to detect speech end sooner (shorter silence timeout) so the partial transcript arrives earlier. • Prefer STT providers and settings optimized for real‑time interim results (streaming providers like Deepgram/AssemblyAI or equivalents). • Keep prompts and agent logic concise and deterministic so a speculative reply is less likely to be invalidated by the final transcript. • Limit or avoid heavy dynamic tooling or data-dependent lookups during preemptive replies (tools that often change the final response increase discard rate). Trade-offs and cost • Preemptive generation already increases cost because you run LLM/TTS for speculative responses that may be discarded. Making it “more aggressive” by shortening STT timeouts or using faster STT increases compute and possibly wasted work if the final transcript changes. Expect higher LLM and TTS usage and therefore higher spend. • There’s also higher risk of degraded accuracy if speculative replies are based on incomplete user speech. Monitoring and iteration • Track how often speculative responses are kept vs. discarded and measure end‑to‑end latency. Use that to balance cost versus responsiveness. • Iterate: try one change at a time (e.g., switch STT model, then shorten silence timeout) and measure the effect. If you want, tell me: • Which STT provider and model you’re currently using, and • Your current silence/endpointing timeout settings I can suggest concrete settings and a prioritized test plan to increase responsiveness while managing cost. Sources: Agent speech and audio | LiveKit Documentation | Agent session | LiveKit Documentation | Understand and Improve Agent Latency | LiveKit | examples/voice_agents | livekit/livekit_composite | DeepWiki, with interactive elements