a376a30bf8
Workstream 1 (pack content scale-up) first load-bearing step.
Adds a new ratified content pack covering the conversational vocabulary
en_core_cognition_v1 deliberately omits — speech acts, mental states,
perception, self-reference, and discourse-object nouns. These are the
lemmas that show up in nearly every model response and that previously
fell through to the OOV invitation surface.
Pack composition (73 entries, 49 VERB + 24 NOUN):
meta.speech_act.* (20 verbs) say tell speak reply claim state
describe express name mention note
observe declare assert deny confirm
suggest propose articulate respond
meta.mental_state.* (18 verbs) know believe think suppose assume
expect hope want prefer doubt wonder
guess recognize realize consider intend
decide hold
meta.perception.* (11 verbs) see hear feel sense perceive watch
look listen find detect notice
meta.self_reference.* (10 nouns) self mind view perspective position
role agent model system speaker
meta.discourse.* (14 nouns) response reply statement fact idea
point argument proposal suggestion
case instance example kind type
Files:
language_packs/data/en_core_meta_v1/
lexicon.jsonl — 73 entries, SHA-256 checksum-sealed
manifest.json — operational_base / D0 / checksum-verified
chat/pack_resolver.py
Appended en_core_meta_v1 to DEFAULT_RESOLVABLE_PACK_IDS after
en_core_cognition_v1 so cognition lemma resolution stays first-
match-wins on any future collision (preserves cognition-lane
byte-identity invariant).
core/config.py
Added en_core_meta_v1 to RuntimeConfig.input_packs default mount.
tests/test_en_core_meta_v1_pack.py
11 contract tests: checksum-verified load, POS split, primary-
domain namespace, no-collision-with-cognition-v1 regression gate,
pack registration order, resolver routing, and cognition-lemma
resolution unchanged.
tests/test_procedure_surface.py
Swapped two test fixtures from "claim" to "hypothesis". ``claim``
is now correctly pack-resident (meta.speech_act.claim) so the
procedure composer's object-first selector picks it over the verb
— the new behavior is semantically correct. ``hypothesis`` is
genuinely OOV across all mounted packs and preserves the verb-
fallback contract these tests pin.
Authoring methodology:
Four parallel subagents authored one cluster each from a strict
exemplar + word list + forbidden-lemma list (every en_core_cognition_v1
lemma listed explicitly to prevent collision). Each subagent wrote
only its cluster JSONL; the main pass assembled, validated, computed
the SHA-256 over bytes-on-disk, and wrote the manifest.
Verification:
Full lane: 2148 passed, 2 skipped, 0 failed (+11 new tests).
Cognition eval byte-identical on both splits:
public 100 / 100 / 91.7 / 100
holdout 100 / 100 / 83.3 / 100
Live runtime probes: fresh ChatRuntime() for "What is X?" with
X ∈ {fact, doubt, statement, model, self} all emit a
pack-grounded sentence from en_core_meta_v1.
OOV path still honest for genuinely-unknown terms (e.g. hypothesis).
Scope note:
This is one pack of ~70 lemmas, not "the model now articulates
open-domain English." The architecturally-honest articulation
story still requires more pack and teaching-chain content; this
pack moves the conversational-substrate boundary forward by ~70
lemmas in one ratifiable, replay-stable step.
81 lines
3.7 KiB
Python
81 lines
3.7 KiB
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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# ADR-0063 — ``en_core_relations_v1`` (kinship starter pack) joins the
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# default mount once the cross-pack surface resolver lands. Pack
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# composers in :mod:`chat.pack_grounding` now consult
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# :mod:`chat.pack_resolver`, so kinship lemmas ground deterministically
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# without a separate composer module.
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input_packs: tuple[str, ...] = (
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"en_minimal_v1",
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"en_core_cognition_v1",
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"en_core_meta_v1",
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"en_core_relations_v1",
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"en_core_relations_v2",
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"he_logos_micro_v1",
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"grc_logos_micro_v1",
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)
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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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inner_loop_admissibility: bool = False
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admissibility_threshold: float = 0.0
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# ADR-0026 / Phase 3 — margin-based admissibility. ``mode``
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# selects between ADR-0024's per-candidate threshold check and
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# the ranked-with-margin check. Default "threshold" preserves
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# ADR-0024 acceptance evidence; opt-in "margin" replaces the
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# static-threshold gate with a scale-invariant margin.
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admissibility_mode: str = "threshold"
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admissibility_margin: float = 0.4
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# ADR-0027 — Identity pack id loaded at runtime startup. Empty string
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# resolves to ``DEFAULT_IDENTITY_PACK``. CLI override on chat:
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# ``core chat --identity <pack_id>``. See docs/identity_packs.md.
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identity_pack: str = ""
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# ADR-0033 — Ethics pack id loaded at runtime startup. Empty string
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# resolves to ``DEFAULT_ETHICS_PACK``. See docs/ethics_packs.md.
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ethics_pack: str = ""
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# ADR-0046 / ADR-0047 — forward graph constraint. When True, the
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# PropositionGraph built from the classified intent + articulation
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# plan is converted into an AdmissibilityRegion BEFORE generate()
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# runs (Pillar 1→2→3 coupling closes on the live path). Default
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# False preserves existing behavior during the transition window —
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# ADR-0024's honest-refusal exhaustion is the correct response when
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# the constraint geometry and the walk candidate pool do not
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# intersect, but operators must opt in to observing that behavior
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# on their workloads. Enable to live the forward constraint;
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# disable to retain the pre-ADR-0046 unconstrained walk.
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forward_graph_constraint: bool = False
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# ADR-0062 — composed teaching-grounded surface. When enabled,
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# the teaching-grounded composer extends a single-chain surface
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# with a follow-up chain whose subject equals the initial chain's
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# object — producing surfaces like "light reveals truth, which
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# grounds knowledge" instead of just "light reveals truth".
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# Default False preserves all pre-ADR-0062 behaviour. Cycle-safe
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# (won't follow if the next subject has been visited), bounded
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# depth (max one follow-up chain in v1).
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composed_surface: bool = False
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# ADR-0066 / P3.2 — opt-in thread anaphora. When enabled, the
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# runtime prepends a deterministic backreference to a recent
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# grounded turn when the current turn's subject lemma matches
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# one in the bounded session-thread context. Engages only on
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# pack/teaching-tier turns (both prior and current); weaker
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# tiers do not anchor. Default False preserves every pre-P3.2
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# surface byte-identically.
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thread_anaphora: bool = False
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DEFAULT_IDENTITY_PACK: str = "default_general_v1"
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DEFAULT_ETHICS_PACK: str = "default_general_ethics_v1"
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DEFAULT_CONFIG = RuntimeConfig()
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