core/docs/decisions/ADR-0154-recognizer-producer-wiring.md
Shay 34baf60b35
feat(W-020b): DerivedRecognizer producer wiring (ADR-0154) (#278)
W-007/ADR-0149 wired the consumer side of the recognizer registry
(first_admitted_recognizer → graph derivation, opt-in via
recognition_grounded_graph). The producer side — capturing
(tokens, bundle) from admitted turns so derive_recognizer at
checkpoint can anti-unify them — had no production caller.
record_recognition_example existed but was only invoked by tests,
so _pending_recognizer_examples stayed empty in live sessions and
the registry could never grow from traffic.

Observed: 103-turn session wrote recognizers.jsonl empty even with
recognition running.

- CognitiveTurnPipeline.run calls runtime.record_recognition_example
  at the admitted-recognition boundary
- Producer fires unconditionally; consumer (derive_recognizer at
  checkpoint) stays opt-in behind the same flag — flipping it later
  is no longer a cold start
- hasattr guard keeps the pipeline tolerant of non-ChatRuntime
  runtimes

Validated: tests/test_adr_0154_recognizer_producer_wiring.py (5
tests covering admit/refuse, flag-off producer, end-to-end loop,
accumulation); core test --suite cognition/smoke + recognition
phase 1/2/refusal-propagation all green.

Out of scope: bootstrap of the first recognizer from operator
review (substrate-liveness audit scope); bounded growth of the
producer queue when consumer flag stays off (future LRU cap).
2026-05-25 18:44:12 -07:00

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# ADR-0154 — DerivedRecognizer producer wiring (W-020b)
Status: accepted
Date: 2026-05-25
## Context
ADR-0149 (W-007) wired the `DerivedRecognizer` registry's **consumer**
side: `runtime.first_admitted_recognizer()` is read by
`CognitiveTurnPipeline.__init__` and feeds the optional
recognition-grounded graph at `pipeline.py` ~line 217 (gated by
`recognition_grounded_graph`, default off).
The **producer** side — capturing `(tokens, bundle)` from admitted
turns so `derive_recognizer` at checkpoint can anti-unify them into
tighter recognizers — was never connected in production code.
`runtime.record_recognition_example` had zero non-test callers:
```bash
$ grep -rn record_recognition_example --include="*.py" | grep -v test
chat/runtime.py:703: def record_recognition_example(
```
Consequence: `_pending_recognizer_examples` stayed permanently empty,
so the conditional at `chat/runtime.py:684-691`
```python
if (
self.config.recognition_grounded_graph
and self._pending_recognizer_examples
):
recognizer = derive_recognizer(...)
...
```
— never fired, even with the flag enabled. The registry could only
grow via tests calling `record_recognition_example` directly.
Observed symptom: a 103-turn session wrote `recognizers.jsonl` as
empty even though recognition was running.
## Decision
In `CognitiveTurnPipeline.run`, at the admitted-recognition boundary
(directly after `EpistemicGraph` construction), call
`runtime.record_recognition_example(raw_tokens, _rec_outcome.proposition)`.
- **Producer fires unconditionally** when a turn is admitted — the
bucket is filled regardless of `recognition_grounded_graph`. This
means flipping the consumer flag later is not a cold start.
- **Consumer stays opt-in** behind the same flag — no change to
`checkpoint_engine_state`'s `derive_recognizer` gate.
- `hasattr` guard on `runtime.record_recognition_example` keeps the
pipeline tolerant of non-`ChatRuntime` runtimes (test doubles,
alternative shells).
## Invariants
- Refused recognition: no producer call (gated inside
`if _rec_outcome.admitted:`).
- No attached recognizer: no recognition runs at all, no producer
call.
- Per-turn FeatureBundle is the validated proposition emitted by
`recognize` — no shape massaging in the pipeline.
- `recognize` is unchanged; `derive_recognizer` is unchanged; trace
hash bytes are unchanged for any given turn.
## Out of scope
- **Bootstrap of the very first recognizer.** This ADR closes the
loop *given* a recognizer is attached. No path in production code
seeds the first recognizer from operator review or reviewed
teaching examples; that is a substrate-liveness concern tracked
separately under the ADR-0143 / substrate-liveness audit family.
- **Unbounded growth of `_pending_recognizer_examples` when the
consumer flag stays off.** With flag=False, the producer
accumulates forever. Acceptable for short sessions; a future
bound (LRU or cap) should ship before long-running operators
enable the producer with the consumer off.
## Validation
`tests/test_adr_0154_recognizer_producer_wiring.py`:
- admitted turn appends `(tokens, bundle)` to the producer queue
(flag=False so the queue is not drained at checkpoint)
- producer fires when consumer flag is off
- refused turn does not populate the queue
- end-to-end loop: with flag=True, an admitted turn feeds the
producer queue, then `checkpoint_engine_state` drains it via
`derive_recognizer` and registers the result
- multiple admitted turns accumulate in order
CLI lanes: `core test --suite cognition` (120 + 1 skipped),
`core test --suite smoke` (67), recognition phase 1/2 + refusal
propagation (25) all green.
## Closure
After this ADR, the DerivedRecognizer registry can grow from live
traffic. The remaining gap is bootstrap — getting the first
recognizer into the registry without test-only injection. That is a
substrate-liveness scope concern, not W-020b.