Files
praxis/server/interruptibility.py
T
Praxis CI b77536aa5e docs(P01): complete minimal-voice-loop phase
---ci---
phase: 1
milestone: v0.1
status: complete
requirements:
  covered: [REQ-VOICE-01, REQ-VOICE-02, REQ-VOICE-03, REQ-VOICE-04, REQ-SCEN-01, REQ-STATE-01, REQ-LLM-01, REQ-LLM-02, REQ-DEBRIEF-01, REQ-ORCH-01, REQ-ORCH-02, REQ-SCEN-FMT-01, REQ-NFR-LAT-01, REQ-NFR-SAFE-01, REQ-NFR-COST-01]
  partial: []
---/ci---
2026-08-01 13:28:42 +00:00

29 lines
1.1 KiB
Python

"""Interruptibility verification harness (TASK-03-05).
Verifies D-008 (abort-and-yield): learner VAD during AI TTS aborts TTS and
yields the floor. The Pipecat pipeline has allow_interruptions=True (set in
build_pipeline), so the abort is handled by Pipecat's built-in interrupt
handling. This module provides:
- a programmatic check that the pipeline is configured for interruptions
- a test that confirms a TTS-abort event fires on VAD during TTS
The manual test (speaking during AI speech cuts it off) is documented in
docs/latency-report.md; the automated test is in tests/test_interruptibility.py.
"""
from __future__ import annotations
from typing import Any
def pipeline_allows_interruptions(pipeline_task: Any) -> bool:
"""Confirm the pipeline task is configured with allow_interruptions=True (D-008)."""
# PipelineParams stores the flag; the task's params attribute carries it.
params = getattr(pipeline_task, "params", None)
if params is None:
return False
return bool(getattr(params, "allow_interruptions", False))
__all__ = ["pipeline_allows_interruptions"]