core/recognition/__init__.py
Shay 87b0eda345
feat(recognition): ADR-0144 — EpistemicGraph carrier + pipeline integration (#227)
Implements the PropositionGraph epistemic carrier (ADR-0144):

recognition/carrier.py — EpistemicTransition, EpistemicNode, EpistemicGraph.
  Frozen, JSON-serializable, byte-deterministic. EpistemicNode wraps a
  RecognitionOutcome with an append-only provenance chain; epistemic_state
  property tracks last transition's to_state or outcome.state when empty.

recognition/connector.py — epistemic_node_to_graph_node(). Maps an admitted
  EpistemicNode's FeatureBundle (agent/relation/count/unit) to a GraphNode
  for the generation-side articulation planner.

CognitiveTurnPipeline gains a recognizer: DerivedRecognizer | None param
  (default None — all existing callers unaffected). When attached, run()
  calls recognize() at the top of every turn and wraps admitted outcomes in
  an EpistemicGraph. CognitiveTurnResult.epistemic_graph carries it.

RuntimeConfig.recognition_grounded_graph: bool = False — opt-in flag that
  replaces the intent-derived PropositionGraph with one derived from the
  admitted EpistemicNode via the connector.

RatificationOutcome gains three specific PASSTHROUGH sub-values
  (PASSTHROUGH_NO_FIELD / NO_VOCAB / NO_VERSOR) for _ratify_intent
  observability (ADR-0142 debt 1). All normalise to "passthrough" before
  trace_hash so pre-ADR-0144 hashes are byte-identical.

24/24 acceptance tests pass; 67/67 smoke tests pass; no regressions.
2026-05-24 13:39:01 -07:00

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Python

"""Teaching-derived structural recognition — ADR-0143 / ADR-0144."""
from recognition.carrier import EpistemicGraph, EpistemicNode, EpistemicTransition
from recognition.connector import epistemic_node_to_graph_node
__all__ = [
"EpistemicGraph",
"EpistemicNode",
"EpistemicTransition",
"epistemic_node_to_graph_node",
]