Commit Graph

5 Commits

Author SHA1 Message Date
Huangzisu dbc90bd755 fix(auth): let env vars override yaml for openai_compatible mode
The yaml default `azure_openai_auth_mode: azure_cli` was silently
overwriting `AZURE_OPENAI_AUTH_MODE` exported by the user, because
`configure_clients()` treats any non-empty config value as an explicit
override. Switching the three auth_mode defaults (shared / optimizer /
target) to "" lets `_clean()` drop them and restores the intended
fallback chain: yaml → env var → module default ("azure_cli").

Also update README and .env.example to document the openai_compatible
mode introduced in d5c5b61, and remove the misleading `OPENAI_API_KEY`
snippet — SkillOpt reuses the `AZURE_OPENAI_*` env vars in this mode.
2026-05-30 06:58:05 +00:00
hwq 786d57b5cf Make rollout completion tokens configurable 2026-05-28 09:45:47 +00:00
Cuzyoung f55a26414e cleanup: remove unused benchmarks, deep_probe, meta_reflect
Remove sealqa, babyvision, mathverse, mmrb, swebench envs and configs.
Remove deep_probe, deep_reflect, meta_reflect modules and prompts.
Remove download_babyvision script.
These are not part of the core released benchmarks.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-24 19:36:48 +00:00
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