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Author SHA1 Message Date
Shay
63ffd88595 feat(runtime): default discourse_planner=True + fast-path BRIEF short-circuit
Flips ``RuntimeConfig.discourse_planner`` from ``False`` → ``True``
(the architectural intent the planner was designed for) AND adds a
fast-path early return so single-fact prompts pay no extra cost.

Why the flip
------------

The discourse planner apparatus has been fully wired in the codebase
for some time (``generate.discourse_planner.plan_discourse`` /
``plan_compound_discourse`` / ``render_plan``,
``generate.grounding_accessors.grounding_bundle_for``,
``chat.runtime._maybe_apply_discourse_planner``) but gated off behind
this flag.  Investigation surfaced that:

  * **Cognition eval (45 cases) is byte-identical OFF vs ON** across
    both surface and trace_hash projections — the planner's
    downstream ``len(plan.moves) <= 1`` gate correctly returns
    ``None`` for single-fact prompts, leaving them with the exact
    existing pack-grounded surface.

  * **NARRATIVE / EXAMPLE / EXPLAIN / PARAGRAPH and compound shapes
    visibly lift.**  ``"Tell me about memory."`` goes from a one-
    fragment disclosure to a 3-sentence grounded discourse.
    ``"What is truth, and why does it matter?"`` — currently refused
    as OOV because the flat classifier sees the polluted subject —
    becomes a 6-sentence grounded articulation via the compound
    bypass.

  * **No quality regression on existing benches.**  The full bench
    suite (determinism / latency / speedup / versor / convergence /
    realizer / teaching-loop / articulation) stays 8/8 PASS with
    the flag on.

Why the fast-path
-----------------

Default-on uncovered a perf trap: the gate ran
``grounding_bundle_for(lemma)`` (pack + teaching + cross-pack queries)
AND ``plan_discourse(...)`` on EVERY turn, then discarded the
result when ``len(plan.moves) <= 1``.  For BRIEF mode the budget
``_MODE_BUDGETS[BRIEF] = (1, 1)`` guarantees plans of length ≤ 1, so
the downstream gate is guaranteed to reject — pure waste.  The
register matrix test runtime went from ~30s → ~14 minutes (28x
slowdown) under the naive default-flip before the fast-path landed.

The new short-circuit:

  if mode is BRIEF and not compound.is_compound():
      return None

skips the bundle query + plan run entirely for the common case.
Compound prompts still flow through (they get auto-upgraded BRIEF
→ EXPLAIN on the line above).  Empirical post-fast-path
measurement on a 45-case eval (workers=1):

  OFF: 23.31s  (1.93 turns/sec)
  ON : 17.74s  (2.54 turns/sec)
  slowdown : 0.76x  (flag-ON is actually 24% FASTER — the bundle
                     work the OFF path also touches downstream is
                     short-circuited cleanly when not needed)
  surface byte-equal: True
  trace_hash byte-equal: True

Test updates
------------

* ``test_discourse_planner_render.py`` — invert
  ``test_default_runtime_config_has_flag_off`` →
  ``test_default_runtime_config_has_flag_on`` and rename
  ``test_flag_off_default_unchanged`` →
  ``test_flag_off_explicit_path_unchanged`` (the OFF path is still
  a load-bearing invariant, just no longer the default).

* ``test_narrative_example_intents.py`` — three tests that assert
  composer-level provenance tags (``narrative-grounded``,
  ``example-grounded``, ``relations_chains_v1``) now explicitly
  set ``RuntimeConfig(discourse_planner=False)`` so they continue
  to exercise the underlying composer.  The runtime-level
  multi-sentence behavior is pinned separately by
  ``tests/test_articulation_demo.py``.

Verified
--------

  cognition eval (45 cases)               OFF ≡ ON byte-identical
  pytest tests/test_discourse_planner_*   132/132 pass
  pytest tests/test_articulation_demo.py  all claims supported
  pytest tests/test_narrative_example_intents.py  pass
  pytest tests/test_runtime_config.py     pass
  core test --suite smoke                 67/67 pass
  core test --suite runtime               19/19 pass
  core test --suite packs                  6/6 pass

Live demo (default config):
  "What is knowledge?"          → single sentence (BRIEF, fast-path)
  "Tell me about memory."       → 3 grounded sentences
  "What is truth, and why does
   it matter?"                  → 6 grounded sentences (was: OOV)
  "Explain truth."              → 3 grounded sentences
2026-05-21 10:06:49 -07:00
Shay
30948a1605 feat(runtime): wire discourse planner behind RuntimeConfig flag
Step 5 of the discourse-planner sequencing.  Closes the chain:

    classify_intent + classify_response_mode
      -> grounding_bundle_for(subject)
      -> plan_discourse(intent, mode, bundle)
      -> render_plan(plan)
      -> response_surface

Adds RuntimeConfig.discourse_planner (default False).  When True, the
runtime — after the warm pack/teaching-grounded surface is set —
classifies the response mode, assembles a GroundingBundle from the
ADR-style accessors, builds a DiscoursePlan, and replaces the warm
surface with the deterministic multi-clause rendering whenever the
plan has more than one move.

Gating discipline:
* Engages only on warm_grounding_source in {"pack", "teaching"} so
  vault/none turns and the discovery-signal CAUSE/VERIFICATION
  disclosure are preserved exactly.
* BRIEF mode always collapses to a single ANCHOR move, so flag-on
  with BRIEF intent is byte-identical to flag-off.
* Empty bundles produce empty plans; the runtime falls through to
  the existing warm surface untouched.

Adds render_plan(plan) to generate/discourse_planner.py — a pure,
deterministic multi-clause renderer with fixed canonical connectives:
  ANCHOR    : capitalized opening sentence
  SUPPORT   : "Furthermore, ..."
  RELATION  : "In turn, ..."
  TRANSITION: "Consequently, ..."
  CLOSURE   : skipped when fact is None
Every visible token is a verbatim pack lexicon entry, gloss, or
reviewed teaching chain string — no synthesis.

13 new tests pin:
* render_plan empty/brief/paragraph shape
* canonical connectives present in paragraph rendering
* deterministic + verbatim-fact invariants
* RuntimeConfig.discourse_planner defaults False
* Flag-off surface has no planner connectives
* Flag-on lifts produce structurally well-formed multi-sentence
  output on grounded substrate

Lift measurement (multi_sentence_response public/v1, 15 cases):
* flag off: multi=0.40, connective=0.50, grounded=0.40
* flag on : multi=0.40, connective=0.60, grounded=0.40
  -> connective_present_rate +10pp; multi-sentence count flat
     because the existing narrative composer's literal "." chars in
     tags like "cognition.truth" already trigger sentence splits in
     the lane regex.  Real lift is form quality: e.g. "Tell me about
     truth" now renders as "Truth is a claim or state grounded by
     evidence and coherent judgment.  Furthermore, truth belongs to
     cognition.truth.  In turn, truth grounds knowledge." instead of
     the prior provenance-laden narrative surface.

Critical gates (all green):
* flag off: cognition eval byte-identical
  - public 100/100/91.7/100, holdout 100/100/83.3/100
* smoke suite 67/67
* conversational_thread_coherence: 3 unwanted placeholders flag off
  and flag on (no regression)
* planner JSON byte-stable across calls (contract tests)
* grounding source order preserved (sidecar tests)
2026-05-19 11:29:25 -07:00