Adds honest tool-call detection for CopilotCliBackend, mirroring the
Claude/Codex backends. Writes per-tool executable shims into the work dir
and detects real invocations from a calllog (not self-reported markers).
The Copilot backend is Windows-validated, so shims are cross-platform:
a .cmd batch shim on Windows and a chmod'd bash shim on POSIX, with an
OS-specific tool hint. Mirrors _call's flags/env (isolated COPILOT_HOME,
--allow-all-tools, MCP/instruction disabling) and the UTF-8 subprocess fix.
Adds test_attempt_with_tools_honest_detection: a CI-friendly, OS-aware
stub stands in for the CLI, runs the shim, and asserts both JSONL parsing
and log-based detection. Validated live on Windows (real Copilot call) and
on Linux/WSL (POSIX path).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Add CopilotCliBackend that drives the GitHub Copilot CLI in
non-interactive mode (copilot -p ... --output-format json) and parses the
JSONL event stream for assistant.message content. Registered as the
'copilot' backend (with aliases) and wired through the CLI, config,
experiment harness, and the Copilot MCP server's backend enum.
- Force UTF-8 decoding of CLI output (fixes cp1252 UnicodeDecodeError on
Windows when responses contain non-cp1252 bytes).
- Minimise per-call startup: isolated COPILOT_HOME with built-in MCPs and
custom instructions disabled, so user MCP servers are not spawned per
call (~5x faster: 36s -> 7.4s). Override via SKILLOPT_SLEEP_COPILOT_HOME
/ SKILLOPT_SLEEP_COPILOT_MODEL / SKILLOPT_SLEEP_COPILOT_FULL_ENV.
Validated end-to-end on real held-out tasks (researcher persona:
0.42 -> 1.00 lift; gate correctly rejects non-improving edits).
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Wires two consolidation mechanisms into the shipped nightly cycle, both default
OFF so existing behavior is unchanged:
- dream_rollouts (>1): multi-rollout contrastive reflection per task
- recall_k (>0): associative recall of the K most-similar past tasks (from a
capped task_archive persisted in state.json) into tonight's dream
- dream_factor (>0): synthetic task variants
New shared engine module skillopt_sleep/dream.py (recall_similar, dream_augment,
dream_consolidate) is called by both the plugin cycle and the experiment harness,
so reported numbers exercise the exact shipped code. Built on the existing
rollouts_k/sample_id support already in consolidate.py/rollout.py.
Validated (5 nights x 10 real tasks/night, full held-out test, GPT-5.5, gated):
the gain scales with recall depth on a clean signal —
SearchQA recall_k=10 +3.1, recall_k=20 +4.5, full-history reference +5.6;
SpreadsheetBench (nano, gate-free) +3.6. Flat within noise on saturated/noisy
cells. See docs/sleep/EXPERIENCE_REPLAY.md (+ raw runs under blog_runs/v2_port/).
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
Updates the SkillOpt-Sleep plugin on top of the current main. User-facing and
engine improvements since the initial drop:
* Command renamed /sleep -> /skillopt-sleep across Claude Code + Codex shells;
refreshed plugin READMEs and install scripts.
* Built-in scheduling (skillopt_sleep/scheduler.py + __main__): schedule /
unschedule the nightly cycle without external cron wiring.
* Backend robustness: bounded retry with backoff (no more silent empty-string
on transient 429/timeout), content-filter-safe rollout prompt, an
output-contract guardrail that rejects edits violating the task's required
format, and a per-sample cache key so repeated dream rollouts are independent
samples (fixes degenerate single-sample reflection).
* consolidate / rollout / replay: parallel multi-rollout dreaming, gate-mode
controls, TaskRecord.system framing field.
Scope: this commit ships only the plugin engine + shells. Research/benchmark
harnesses and their data are intentionally not included; the public package
has no dependency on them (the one research-evaluator import is now guarded).
Marked as an early preview in the README; we'll keep iterating.
99/99 unit tests pass.
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
Remove every non-ASCII/CJK character for a professional open-source repo:
- harvest.py: drop hardcoded Chinese feedback phrases; add an env-based
extensibility hook (SKILLOPT_SLEEP_NEG_FEEDBACK / _POS_FEEDBACK) so any
locale can be added without baking one in. Verified with a German example.
- rollout.py / consolidate.py: English comments.
- README.md section heading + anchor, CONTROLLABLE_DREAMING.md, plugin.json,
marketplace.json (also fixed stale path skillopt-sleep-plugin ->
plugins/claude-code), SKILL.md: English only.
- Remove the internal WAKE_UP_SUMMARY.md note (not user-facing, not referenced).
Verified: zero CJK chars remain anywhere; 29 tests pass.
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
Open-source-tool / research-code separation:
- git mv skillopt/sleep/ -> skillopt_sleep/ (top-level, sibling to the research
skillopt/ package). History preserved as renames.
- All imports skillopt.sleep.* -> skillopt_sleep.*.
- Vendor the validation gate into skillopt_sleep/gate.py (a self-contained copy
of skillopt.evaluation.gate). The engine now has ZERO dependency on the
research package — verified: grep finds no `from skillopt.` in skillopt_sleep/,
and consolidate's gate resolves to skillopt_sleep.gate.
- Plugin scripts/commands/skill call `-m skillopt_sleep`.
29 tests pass; `python -m skillopt_sleep` runs standalone.
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
DB Lee