aadaf11612
Add salience and attention operators, wire salience-gated candidate selection into generation, expose vault/salience trace telemetry, and add tests proving non-placeholder salience behavior.
20 lines
575 B
Python
20 lines
575 B
Python
from __future__ import annotations
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from dataclasses import dataclass
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@dataclass(frozen=True, slots=True)
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class RuntimeConfig:
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input_packs: tuple[str, ...] = ("en_minimal_v1", "he_logos_micro_v1", "grc_logos_micro_v1")
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output_language: str = "en"
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frame_pack: str = "en"
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max_tokens: int = 32
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allow_cross_language_recall: bool = True
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allow_cross_language_generation: bool = False
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vault_reproject_interval: int = 20
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use_salience: bool = True
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salience_top_k: int = 16
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inhibition_threshold: float = 0.3
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DEFAULT_CONFIG = RuntimeConfig()
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