Commit Graph

3 Commits

Author SHA1 Message Date
Yifan Yang 937bc1ec4d feat(sleep): real tool-loop replay for gbrain quick-answerer (tool_called judge)
The 4th gbrain seed (quick-answerer) is judged by tool_called=search: the agent
must ACTUALLY call a search tool. Add an honest tool loop:

  - Backend.attempt_with_tools(task, skill, memory, tools) -> (response, tools_called)
  - Claude: exposes a real ./search shell shim, runs with --allowedTools Bash in a
    clean cwd; detects the call from the shim's log (not a self-reported marker).
  - Codex: same shim under `exec --sandbox workspace-write`.
  - Mock: deterministic — "calls" a tool iff skill/memory instructs it (for CI).
  - replay_one routes tasks with a tool_called check through the tool loop and
    feeds detected calls to the rule judge; ReplayResult gains tools_called.

Verified live (Claude haiku): deficient skill -> tools_called=[] hard=0;
learned "must run ./search" rule -> tools_called=['search'] hard=1.0.
20 tests pass.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-08 14:31:51 +00:00
Yifan Yang 4203086899 feat(sleep): real claude + codex backends, gbrain-evals benchmark, rule judges
Upgrade from mock-only to REAL multi-backend validation:

Backends (skillopt/sleep/backend.py):
  - CliBackend base: shared attempt/judge/reflect prompts, response cache,
    token accounting. Subclasses implement only _call().
  - ClaudeCliBackend: drives `claude -p --output-format text`.
  - CodexCliBackend: drives the REAL @openai/codex `exec -o <file>` for clean
    output; resolve_codex_path() skips the hermes wrapper at ~/.local/bin/codex.
  - reflect() now aggregates the exact failing judge criteria into the prompt
    (gbrain's lesson: tell the optimizer what the scorer rewards).

Rule judges (skillopt/sleep/judges.py): gbrain-compatible local scorers
  (section_present / regex / max_chars / contains / tool_called) — held-out
  scoring with no judge-API spend. TaskRecord gains a `judge` field +
  reference_kind="rule".

gbrain-evals adapter (experiments/gbrain_bench.py, run_gbrain.py): load
  garrytan/gbrain-evals skillopt-v1 deficient skills + train/held-out task
  sets and run our consolidate() loop against the SAME suite gbrain scores.

REAL results (docs/sleep/real_api_results.md), brief-writer seed, 1 night:
  - Claude (Haiku): held-out 0.00 -> 1.00
  - Codex:          held-out 0.00 -> 0.67
  Both proposed a correct, general format rule into the protected LEARNED block.

CLI: --backend {mock,claude,codex}, --codex-path, --model; experiment +
gbrain runners gain --limit-* cost controls. 17 tests pass.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-08 14:31:51 +00:00
Yifan Yang 4e7add899d feat(sleep): nightly offline self-evolution engine + Claude Code plugin
Add skillopt/sleep — a deployment-time companion to SkillOpt that gives a
local Claude agent a nightly "sleep cycle":

  harvest ~/.claude transcripts -> mine recurring tasks -> replay offline
    -> consolidate (reflect -> bounded edit -> held-out GATE) -> stage -> adopt

Synthesizes SkillOpt (validation-gated bounded text optimization, reusing
skillopt.evaluation.gate verbatim), Claude Dreams (offline consolidation;
input never mutated; review-then-adopt), and the agent-sleep paper
(short-term experience -> long-term competence).

Engine (skillopt/sleep/, import-light, py>=3.10):
  - harvest.py   read-only parse of session JSONL + history.jsonl
  - mine.py      sessions -> TaskRecords (heuristic miner + LLM hook)
  - backend.py   MockBackend (deterministic, no API) + AnthropicBackend
  - replay.py    offline re-run -> (hard, soft) scores
  - consolidate.py  one SkillOpt epoch behind a held-out gate
  - memory.py    protected-region edits to SKILL.md / CLAUDE.md
  - staging.py   stage proposals; adopt with backup (Dreams safety contract)
  - cycle.py + __main__.py  orchestrator + CLI (run/dry-run/status/adopt/harvest)

Plugin (skillopt-sleep-plugin/): plugin.json, /sleep command, skillopt-sleep
skill, SessionEnd hook, bundled runner + cron generator.

Validation (deterministic, no API): persona experiment proves held-out lift
(researcher 0.33->1.0, programmer 0.32->1.0) AND that the gate rejects an
injected harmful edit. 13 stdlib-unittest tests pass, incl. full cycle +
adopt-with-backup and parsing of real on-disk transcripts.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-08 14:31:51 +00:00