premove
Use interim transcripts to optimize LLM calls and voice-to-voice latency.
Voice agents idle through the entire user turn, then pay for STT finalization, LLM
prefill, tool calls, and TTS all at once. premove spends the speaking time instead —
consuming your STT's interim transcripts to do the work early:
- KV-cache prefilling — stable (committed) transcript prefixes warm your OpenAI-compatible endpoint while the user talks, so the final call's prefill is already computed.
- Speculative generation — the response starts generating near the end of the turn and is held; released the instant the turn ends, discarded if the transcript changed (like a chess premove).
- Intent extraction & tool/RAG prefetch (roadmap) — a rolling parse of the partial transcript triggers workflows mid-utterance, so results are ready before the question finishes.
Local-first (Whisper + llama.cpp / vLLM / Ollama), where the wins are largest — but designed for any interim-emitting STT and any OpenAI-compatible endpoint.
⚠️ Pre-alpha. This package reserves the name while v0.1 is built in the open.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for premove 0.0.1
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|---|---|---|---|---|
| premove-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.0 kB
Release files / premove-0.0.1.tar.gz
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Release files / premove-0.0.1-py3-none-any.whl
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| Tags | Python 3 |
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