Replace the bare S-P-O join from articulation.realize() with the
intent-differentiated surface from generate/intent_bridge.py when
the bridge can produce a grounded, non-pending result.
The ArticulationPlan dataclass, SentenceAssembler, turn_log, ChatResponse
and all trace fields remain structurally unchanged. Only .surface is
replaced. Falls back to the previous surface when the bridge returns "".
Keep the generic chat runtime neutral while base closure is being stabilized.
- replace PersonaMotor.from_identity_manifold(...) with PersonaMotor.identity() for the baseline ChatRuntime path
- leave identity/persona motivation for a later explicit IdentityProfile contract
- update the antipodal scalar transition test to match current closed-product semantics: B * reverse(A) yields closed transition -1
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Remove premature motivation/drive pressure from the generic chat runtime.
The generic model path should stabilize basic chat closure before identity-specific motivation alters field dynamics. The previous drive-bias hook directly mutated FieldState.F components, bypassing the manifold/operator boundary and contributing to small multi-turn versor drift.
This makes _apply_drive_bias() a documented no-op. Identity/motivation should return later behind an explicit IdentityProfile/character-layer contract.
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Adds referent tracking, session graph traversal, unknown-domain gating, correction propagation, compositional surface assembly, and regression coverage.
Follow-up fixes included before merge:
- split probe/commit/finalize turn flow so unknown-domain checks run before current-query vault writes
- record real input tokens and input versors for sync and async session paths
- return true graph distances from backward walks and consume them in correction decay
- synchronize corrected graph outputs into vault-backed recall and live referent state
- regenerate correction responses from corrected context rather than correction text
- keep coreference pronouns lowercase in question bodies
- centralize elaboration-string construction to avoid plan/surface drift
- add targeted dialogue fluency regression tests
- remove normalization and unitization calls from generation path
- skip invalid recalled fields instead of repairing them in generation
- punctuate selected articulation surfaces
- stabilize assertive dialogue roles
- anchor proposition slots to live field
- preserve session anchor orientation for coherence
- restore articulation surface as ChatResponse.surface while retaining walk_surface telemetry
- calibrate moderate E2 energy boundary
- reclose generated field states after propagation and recall
- restore pytest-safe REPL parsing and field_walk helper
- anchor proposition predicate selection to prompt field
- make vault exact self-recall deterministic
- align chat telemetry regression with restored surface contract
- calibrate identity threshold and per-axis telemetry
- keep walk surfaces visible when identity flags are telemetry
- report real vault recall hits through generation/runtime logs
- record selected surface in TurnEvent
- fix async chat persona reference
- add regression coverage for chat telemetry
Six identity table rows → all green:
1. Non-identity PersonaMotor
PersonaMotor.from_identity_manifold() replaces PersonaMotor.identity().
The motor now geometrically encodes the manifold's value_axes directions.
2. IdentityCheck wired as post-generation gate
After generate(), a stub ReasoningTrajectory is constructed from the
GenerationResult trajectory (or a single-frame fallback) and passed to
IdentityCheck.check(). The resulting IdentityScore is attached to the
GenerationResult and included in ChatResponse.
3. CharacterProfile populated and projected
CharacterProfile.from_manifold() is called at __init__ time and stored
as self.character_profile. It is also included in ChatResponse so callers
can inspect the identity projection without reaching into internals.
4. drive_gradients influencing field walk
DriveGradientMap.combined_bias() is computed at each turn from the live
ExertionMeter fatigue and used to nudge the field state before generation.
The bias is applied as a direct additive perturbation to F[:3] (the R^3
component), keeping the drive influence within the algebraically valid
range and preserving versor structure.
5. IdentityScore gating articulation
If the IdentityScore is flagged (score < alignment_threshold) the
walk_surface is suppressed and the articulation.surface is used as the
sole response surface. The flag is propagated in ChatResponse.flagged.
6. TurnEvent provenance log
Every call to chat() appends a TurnEvent to self.turn_log. The log is
a plain list — append-only by convention. Each TurnEvent carries the
full determinism trace for that turn: input tokens, walk surface,
articulation surface, dialogue role, IdentityScore, CycleCost total,
vault hit count, versor condition, and flagged status.
Add geometry-backed ArticulationPlan and realize(), wire articulation into ChatRuntime and trace output, expose proposition relation_norm, and add articulation/runtime/CLI tests.
Add RuntimeConfig with English default output policy, wire output language through runtime/frame selection/generation/CLI, preserve language metadata in mounted manifolds, and add runtime/CLI policy tests.
