5 Commits

Author SHA1 Message Date
Declan Murphy
c6da31df44 fix: use correct MiniMax endpoint, model name, and add .venv to gitignore 2026-05-31 05:27:50 +08:00
Declan Murphy
e4201074aa docs: add MiniMax config to default.yaml and .env.example
default.yaml:
- Add minimax_base_url, minimax_api_key, minimax_model, minimax_temperature,
  minimax_max_tokens, minimax_enable_thinking settings
- Add optimizer_minimax_base_url, target_minimax_base_url per-role overrides
- Add optimizer_minimax_api_key, target_minimax_api_key per-role overrides

.env.example:
- Add MINIMAX_BASE_URL, MINIMAX_API_KEY, MINIMAX_MODEL env var docs
2026-05-31 05:22:35 +08:00
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
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