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chore: import upstream snapshot with attribution
2026-07-13 13:33:44 +08:00

28 lines
989 B
Python

"""Small utilities used by streaming orchestrators and phases."""
from __future__ import annotations
from typing import Any
def resume_step_prefix(turn_id: str) -> str:
"""Per-turn ``step_prefix`` for resume invocations.
Each ``stream_agent_events`` call constructs a fresh
``AgentEventRelayState`` with ``thinking_step_counter=0``, so two consecutive
resume turns would otherwise both emit ``thinking-resume-1``, ``-2`` etc.
The frontend rehydrates ``currentThinkingSteps`` from the immediate prior
assistant message at the start of every resume — if the new stream's IDs
collide with the seeded ones, React renders sibling Timeline rows with the
same key. Salting with ``turn_id`` guarantees disjoint IDs across resumes
within one thread.
"""
return f"thinking-resume-{turn_id}"
def safe_float(value: Any, default: float = 0.0) -> float:
try:
return float(value)
except (TypeError, ValueError):
return default