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---

server/interruptibility.py

@@ -0,0 +1,29 @@
+"""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"]