test(web): offline import-safety guard for proteus.web

feat(web): single-file color-grid frontend (start / play / review)

feat(web): python -m proteus.web launcher

feat(web): stdlib http.server router + session registry + route tests

test(web): golden — InteractiveSession trace == SessionRunner(HumanAgent)

feat(web): InteractiveSession — threadless stepwise play driver

refactor(web): SessionRunner delegates to _session_core (no behavior change)

test(web): lock finalize SessionNotFinishedError divergence + docstring note (Task 1 follow-up)

docs(cp7): design spec — LLM-generated memory pre-roll (hybrid handover)

feat(web): extract shared session-core helpers (build/turn/finalize)

docs(web): next-session execution kickoff prompt (subagent-driven)

docs(web): interactive color-grid web play — implementation plan (10 tasks, TDD)

docs(web): interactive color-grid web play — brainstormed design (SSOT)

docs(cp7): next-session design kickoff prompt (brainstorm → spec → plan)

chore(cp6): holistic-review cleanup — drop dead EASY start consts, de-8x8 docstring, ABC-faithful test stubs

docs(cp6): handoff close — difficulty layouts + category eval + compare shipped; CP7 next

feat(cp6): CLI compare — aggregate human/LLM traces by (model, difficulty)

feat(cp6): runtime.aggregate — pure (model,difficulty) trace aggregation

feat(cp6): trajectory + category-reward metrics (away_move_fraction, trajectory_agreement, ...)

feat(cp6): runtime.rollout — deterministic optimal-trajectory simulator

feat(cp6): scenario-owned survival step_reward (away-from-predator) + safety_distance

test(cp6): lock optimal!=habit handover invariant for all difficulty bands

feat(cp6): per-difficulty hand-authored predator_evade layouts (EASY unchanged)

feat(cp6): Scenario.build_level takes difficulty + record_focal_move/safety_distance defaults

docs(cp6): next-session execution kickoff prompt (subagent-driven)

docs(cp6): implementation plan — 9 TDD tasks (layouts + category eval + compare)

docs(cp6): design — difficulty layouts + category-specific eval + human-baseline compare

docs(cp5): note stdin-EOF fix + empty-turns terminal-flag deferral (103 passed)

fix(cp5): _cmd_play returns rc=2 on stdin EOF (no traceback, no partial-trace crash)

docs(cp5): handoff close — human play + trace viz shipped; CP6 next

feat(cp5): CLI replay --visual/--png/--fps (text stays default)

feat(cp5): CLI 'play' subcommand — human session via stdin

test(cp5): guard viz package against eager matplotlib import

refactor(cp5): lazy matplotlib in arc_grid.rendering (offline import invariant)

fix(cp5): close PNG figures on error + force Agg + _title unit tests

feat(cp5): viz.png — per-frame titled PNGs via matplotlib Agg

fix(cp5): exercise fps->delay path in terminal test + respect explicit empty color_map

feat(cp5): viz.terminal — truecolor block grid + CP4.5 side panel

fix(cp5): harden viz.reconstruct cut verify + make FrameStep hashable

feat(cp5): viz.reconstruct — deterministic frame replay with double self-verify

test(cp5): lock human↔LLM trace comparability invariant (spec §10)

feat(cp5): HumanAgent probe path returns typed ProbeResult

feat(cp5): HumanAgent act path + WASD parsing + reprompt (I/O-injected)

docs(cp5): next-session execution kickoff prompt (subagent-driven)

docs(cp5): implementation plan — HumanAgent + viz (11 TDD tasks)

docs(cp5): brainstormed design — HumanAgent + trace viz (engine-replay reconstruction)

docs(cp4): handoff update — CLI + cloud providers + token accounting shipped; CP5 kickoff prompt; gitignore .env

feat(cp4.5): preserve probe reasoning + raw_text + token accounting via ProbeResult

feat(cp4.5): persist act-call token accounting + raw_text in TurnTrace

feat(cp4): CLI (run / list-scenarios / replay) over fake + real providers