scripts/probe_e2e.py runs the integrated path: ASR-transcript-in → Ollama
gemma4:cloud streaming → Cartesia TTS streaming; measures end-to-end
(transcript-in → first-audio-out) over N iterations (default 10). Prints
per-segment (LLM TTFT, TTS first-audio) + e2e summaries, and a budget
comparison vs the 600ms target. The Piper leg is optional (--piper) and
documents the pre-staged R4 mitigation if the voice model isn't provisioned.
If keys are missing, prints KEY_MISSING and exits 0.
---ci---
phase: 1
milestone: v0.1
plan: 01
task: 01-05
status: execute
persona: backend-engineer
requirements:
covered: [REQ-VOICE-03, REQ-NFR-LAT-01, REQ-LLM-01, REQ-LLM-02]
---/ci---
Praxis CI
8ea0a2746f