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feat(approvals): enhance approval model with task titles and confidence as float

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This commit is contained in:
Abhimanyu Saharan
2026-02-12 19:57:04 +05:30
parent 8bd606a8dc
commit 032b77afb8
13 changed files with 370 additions and 40 deletions
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8
backend/app/services/lead_policy.py
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@@ -5,16 +5,16 @@ from __future__ import annotations
import hashlib
from typing import Mapping
CONFIDENCE_THRESHOLD = 80
CONFIDENCE_THRESHOLD = 80.0
MIN_PLANNING_SIGNALS = 2
def compute_confidence(rubric_scores: Mapping[str, int]) -> int:
def compute_confidence(rubric_scores: Mapping[str, int]) -> float:
"""Compute aggregate confidence from rubric score components."""
return int(sum(rubric_scores.values()))
return float(sum(rubric_scores.values()))
def approval_required(*, confidence: int, is_external: bool, is_risky: bool) -> bool:
def approval_required(*, confidence: float, is_external: bool, is_risky: bool) -> bool:
"""Return whether an action must go through explicit approval."""
return is_external or is_risky or confidence < CONFIDENCE_THRESHOLD