CharlesYang030
e4ea6a6771
chore(release): v0.2.0
...
Highlights since v0.1.0:
- feat: SkillOpt-Sleep engine — nightly offline self-evolution
(harvest -> mine -> replay -> consolidate behind a validation gate),
with multi-objective reward, experience replay + dream rollouts,
slow-update long-term memory, and secret redaction in cycle diagnostics.
Shipped as the `skillopt-sleep` CLI.
- feat: cross-tool backends & plugin shells — Claude, Codex (+Desktop
harvest), Copilot, Devin, and OpenClaw.
- feat: SearchQA split materialization + rollout fail-fast.
- fix: Windows robustness for claude/codex backends, hardened JSON
fallback, Qwen timeout/thinking gating, Codex failure surfacing.
Packaging:
- Bump pyproject / skillopt / skillopt_sleep to 0.2.0.
- Restore skillopt_webui to the packaged wheel.
See CHANGELOG.md for the full changelog and contributor acknowledgements.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com >
2026-07-02 22:11:10 +08:00
Cuzyoung
4a1b984d87
refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update
...
- Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts
- CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model
- Remove best_skill files, keep only initial skills
- Fix slow update gate (force write into skill)
- Fix SLOW_UPDATE marker stripping
- Remove deep_reflect and meta_reflect mechanisms
- Update .env.example with export prefix and azure_cli docs
- Add endpoint empty validation in azure_openai.py
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com >
2026-05-24 19:15:10 +00:00
CharlesYang030
244e346b83
SkillOpt v0.1.0: initial release
...
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
2026-05-21 17:22:04 +00:00
