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v1.6.0 — Autoresearch Loop Phase A automation operational
released this
2026-06-29 21:36:06 +00:00 | 2 commits to main since this releaseThe .gitea/workflows/autoresearch.yml workflow now runs end-to-end on the
self-hosted koala runner: deps (histdata + torch cu130) → committed toy data
fixture → scaffold run dir → GPU baseline (val_vol_r2=0.2177) → 3 agent
iterations (berget/gemma4-31b proposes train.py edits, keep-if-improved else
revert) → artifacts uploaded.Took the feature from never-green to green via six fixes:
- deps: histdata>=1.3 (nonexistent) → >=1.1
- ci: upload-artifact@v4 (unsupported on Gitea/GHES) → @v3
- ci: install torch from cu130 wheel index in venv step
- ci: commit 59KB eurusd_daily.parquet CI fixture (scoped #10 exception)
- loop: project root on PYTHONPATH so copied train.py imports scripts/
- ci: drop empty LOOP_MODEL env that blanked the model → LLM 400
Plus repo Actions secrets LITELLM_KEY (scoped virtual key) + LITELLM_BASE.
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