3 Commits

Author	SHA1	Message	Date
Gergely Imreh	8559308361	fix(eval-only): call configure_qwen_chat so itslocal LLM endpoints can be used ... The eval-only tool skipped configuring some of the backend types, that the training did configure. Because of this, the eval is silently fell back to a local endpoint that wasn't actually configured, and all evaluations runs failed. Replicate the backend setup based on the trainer's code, and eval-only can run with the qwen_chat backends. Co-authored-by: Qwen-Coder <noreply@qwen.ai>	2026-06-24 15:31:19 +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