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

..

__init__.py

SkillOpt v0.1.0: initial release

2026-05-21 17:22:04 +00:00

eval_only.py

fix(eval-only): call configure_qwen_chat so itslocal LLM endpoints can be used

2026-06-24 15:31:19 +08:00

materialize_searchqa.py

Add SearchQA split materialization helper

2026-06-16 09:26:56 +08:00

run_alfworld.sh

refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

2026-05-24 19:15:10 +00:00

run_searchqa.sh

refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

2026-05-24 19:15:10 +00:00

run_spreadsheetbench.sh

refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

2026-05-24 19:15:10 +00:00

train.py

feat(optimizer): skill-aware reflection (EmbodiSkill S_app), config-controlled and env-independent

2026-06-10 13:10:08 +00:00