46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
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from __future__ import annotations
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from app.agents.schemas.learning import LearningDecision, LearningSignal
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def route_learning_signal(signal: LearningSignal) -> str:
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if signal.signal_type == "preference":
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return "memory"
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if signal.signal_type in {"workflow", "decomposition", "tool_success"}:
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return "skill"
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if signal.signal_type == "correction":
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return "audit"
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return "memory"
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def build_learning_bridge_summary(signals: list[LearningSignal]) -> dict[str, object]:
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memory_count = 0
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skill_count = 0
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audit_count = 0
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for signal in signals:
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route = route_learning_signal(signal)
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if route == "memory":
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memory_count += 1
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elif route == "skill":
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skill_count += 1
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else:
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audit_count += 1
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return {
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"memory_signal_count": memory_count,
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"skill_signal_count": skill_count,
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"audit_signal_count": audit_count,
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}
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def update_learning_decision_with_bridge(
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decision: LearningDecision,
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signals: list[LearningSignal],
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) -> LearningDecision:
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bridge_summary = build_learning_bridge_summary(signals)
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metadata = dict(decision.metadata or {})
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metadata["bridge"] = bridge_summary
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decision.metadata = metadata
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return decision
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