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hopper-inc/hopper

v1.2.3MIT

LLM, text-to-speech and speech-to-text for voice agents and AI agents: set Hopper up in a voice-agent project, measure time to first token on its own prompt, find what slows it down, and speak or transcribe audio.

hopper-benchmark

Measure a voice agent's LLM time to first token on Hopper with its own system prompt and tools over a simulated 10-turn call, and report first-turn and later-turn latency and the prompt-cache hit rate. Changes no code. Use when the user asks "how fast would my agent be on Hopper", "benchmark TTFT", "is prompt caching working" or wants before/after numbers. Not for STT/TTS latency or load tests; to switch the agent to Hopper, use hopper-integrate.

Read SKILL.md at the source

Pinned to revision cf8a00a0f3a7, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • Bash(python3 ${CLAUDE_SKILL_DIR}/scripts/hopper_trial.py)
  • Bash(python ${CLAUDE_SKILL_DIR}/scripts/hopper_ttft.py *)
  • Bash(python3 ${CLAUDE_SKILL_DIR}/scripts/hopper_ttft.py *)

Files

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