anti
e52a0e0381
BEHAVE-EXTRACTOR.md Phase A Step 5. Classifies the operator's
thinking pace between commands. Splits LW-sim / CLAUDE-FF /
CLAUDE-CL.
* _features/cognitive.py:inter_command_latency_class(ctx) emits one
Observation in {instant, typing_speed, deliberate,
llm_lightweight, llm_heavyweight, long}, computed as the median
of ctx.inter_cmd_iats bucketed against the prototype thresholds
(v0.2 split: lightweight 2-8s, heavyweight 8-30s).
* Sample-size honesty: < 5 commands halves confidence (0.40 vs
0.80) per BEHAVE-EXTRACTOR.md.
* Threshold consts (INTER_CMD_*_MAX, MIN_COMMANDS_FOR_FULL_CONFIDENCE,
plus parked Step 6/7/8 thresholds for the next three commits)
added to _thresholds.py.
Tests cover all six buckets at empirically-anchored IATs (15s ≈
Claude Opus driving recon via tmux send-keys), plus the
single-command no-IAT and low-sample-count paths.
29 lines
792 B
Python
29 lines
792 B
Python
"""Registered feature functions.
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Each entry takes a ``SessionContext`` and yields zero or more
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``Observation`` instances. Adding a primitive = adding a function in a
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sibling module and appending it to ``FEATURES``.
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"""
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from __future__ import annotations
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from typing import Callable, Iterable
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from decnet_behave_core.spec.envelope import Observation
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from decnet.profiler.behave_shell._ctx import SessionContext
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from decnet.profiler.behave_shell._features.cognitive import (
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inter_command_latency_class,
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)
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from decnet.profiler.behave_shell._features.motor import (
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input_modality,
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paste_burst_rate,
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)
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FeatureFn = Callable[[SessionContext], Iterable[Observation]]
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FEATURES: tuple[FeatureFn, ...] = (
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input_modality,
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paste_burst_rate,
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inter_command_latency_class,
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)
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