sica-fondt/docs/plans/A2-energy.md
Claude 09a16987b2
docs/plans A2: tool_min is a per-tool skill threshold, independent of cost
Correct the earlier 'derived from cost' framing. Equal-cost tools can
carry different minimums: the better skill demands the higher minimum
(Playwright vs manual fetch ~ same cost, but Playwright needs more), so
under depletion the refined tool locks out first and the agent falls back
to the cruder equal-cost one. Lockout now defined as E < tool_min(tool),
no longer a function of cost.

https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c
2026-06-17 04:04:32 +00:00

3.6 KiB
Raw Blame History

A2 — Energy (E) driver

1. Component

Driver 1: the master constraint — an in-the-moment activation / rest budget (not "finitude" anymore; with depletion-unto-death dropped, it isn't finitude). Gates tool use and prices actions.

2. Status / certainty

Structure WORKING (driver_energy.R, 79 L) but numbers DISOWNED (body §5) and RECONCEIVED (body §4): drop depletion-unto-death; no unrecoverable state.

3. Language & location

R · src/endocrine/driver_energy.R (+ test_energy.R).

4. Does / does-not

  • Does: report E level; price each tool (per-tool cost + per-tool lockout scale, §5); gate when a tool's lockout trips; consume on the chosen action; restore.
  • Does-not: die. The old is_alive()==0 hard-death is removed — E is the rest counterpart to ETR's relief; floor is rest, not death.

5. Interface contract

  • init_energy_state(current=100, max=100) -> e.
  • Per-tool economy (Anja): each tool carries its own energy cost — an arbitrary per-tool function, e.g. one tool c×2, another ((c²³)×3)/π. So tool_cost(e, tool) -> num and tool_locked(e, tool) -> bool, per toolnot one global tool_lock_threshold. Lockout trips at the tool's tool_min (next bullet), so tool_locked := E < tool_min(tool).
  • Per-tool minimum + locked rendering (Anja; A1-L4). Each tool has a minimum to consider it, tool_min(tool)per-tool, a skill/capability threshold, NOT a pure function of cost (Anja). Two tools of ~equal cost can have different minimums: the better skill demands the higher minimum (e.g. Playwright vs a manual site-fetch cost about the same to run, but Playwright needs more minimum energy). So under depletion the refined tool locks out first and the agent falls back to the cruder equal-cost one. A valid tool shows its cost; a locked tool's name is replaced in-band (the agent can't see colour) by [====L⍉¢K€D ϟ ∅ΩΤ====] 《E≠<minimumfortool>》 ("energy below this tool's tool_min"). Lockout is a breaker, not a sentence (L3).
  • consume(e, amt) -> e' · recharge(e, amt) -> e'.

6. Dependencies & stubs

Per-tool cost/lockout tables — stub: a small fixed table of tools → (cost fn, lockout fn). Restoration hooks tie to ETR-Z migration (A8) + tarot reshuffle (B3) — stub: call recharge directly. (Restoration model reassessed — Anja.)

7. Invariants / laws (numbers C1 until tested)

  • L1 (C4): an in-the-moment activation/rest budget — a bound on what can be afforded now (not "finitude" — nothing depletes unto death).
  • L2 (C4): no unrecoverable state — every low-E condition has a restoration path (meditation = rest-in-place; migration = rest-as-integration; tarot reshuffle = rest-as-reframe).
  • L3 (C4): lockout is per-tool and a breaker, not a sentence — internal processing continues under lock.
  • L4 (C1): the per-tool cost/lockout functions — fit invariants-first, no carried k.

8. Build steps

  1. Rewrite laws → tests in test_energy.R (replace death tests with rest/restore; add per-tool cost/lockout tests).
  2. Strip depletion-unto-death; add restoration paths.
  3. Define the per-tool cost/lockout table; fit functions invariants-first.

9. Tests

Rscript src/endocrine/test_energy.R (from repo root) — encodes L1L3 + per-tool economy; fails on unfitted constants.

10. Open items

  • The per-tool cost/lockout functions per tool (C1), and tool_min per tool — its own skill/capability threshold (C1), independent of cost (better skill → higher minimum). Restoration rates (C1).