Interruption configuration for proceed({ interruptions }).
proceed({ interruptions })
Source §4.4 L478-492. Two strategies:
"contextual"
"random_phrase"
Python parity: python/scenario/voice/interruption.py.
python/scenario/voice/interruption.py
The proposal does not supply the contextual LLM prompt — implementer-level decision. We expose a short system prompt focused on realistic user interjections so downstream callers can reuse it as-is or override it.
Interruption configuration for
proceed({ interruptions }).Source §4.4 L478-492. Two strategies:
"contextual": an LLM generates a short interruption phrase from the running conversation context."random_phrase": draw from a canned phrase list.Python parity:
python/scenario/voice/interruption.py.The proposal does not supply the contextual LLM prompt — implementer-level decision. We expose a short system prompt focused on realistic user interjections so downstream callers can reuse it as-is or override it.