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Commits on Jun 3, 2026
docs: add SkillOpt integration news
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Commits on Jun 2, 2026
docs: trim News entry wording
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docs: update News section to match LLM2CLIP style
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docs: add fire emoji to News section heading
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docs: add News section, PyPI install instructions, and PyPI badge to README
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Merge pull request #32 from Yif-Yang/fix/issue-30-docs-and-template
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Commits on Jun 1, 2026
envs/_template: make template instantiable against real EnvAdapter ABC
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docs: align API reference and Add-a-Benchmark guide with real EnvAdapter ABC
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Merge pull request #29 from LifeIsSoSolong/codex/qwen-chat-optimizer-backend
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Merge pull request #27 from Oxygen56/test/add-core-utility-tests
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Release data split manifests
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Support Qwen chat as optimizer backend
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Commits on May 31, 2026
test: add unit test suite for core utility modules
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Refine README for clarity on optimization results
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docs: clarify optional features and ckpt artifacts
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docs: clarify README and paper-aligned skill artifacts
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fix(minimax): wire YAML / CLI config through to backend
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Merge pull request #26 from KovaForge/minimax-backend
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feat(slow-update): add config-controlled gated / force-injected modes
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Commits on May 30, 2026
fix: use correct MiniMax endpoint, model name, and add .venv to gitignore
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docs: add MiniMax config to default.yaml and .env.example
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feat: integrate MiniMax into model router, backend config, and common
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feat: add MiniMax chat backend module
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Update eval-only README example
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Add GPT-5.5 benchmark skills
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docs: scope PR #25 gate_metric as opt-in example, not default
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Merge pull request #25 from lvbaocheng/feature/gate-soft-metric
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Merge pull request #24 from lvbaocheng/fix/claude-cli-effort-flag
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Merge pull request #20 from 1s1x/fix-continuous-reward-scores
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fix(auth): let env vars override yaml for openai_compatible mode
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Add configurable gate metric (hard / soft / mixed) for skill validation
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fix(claude): use --effort instead of deprecated --thinking flag
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Commits on May 29, 2026
fix(scoring): use float() instead of int() for continuous reward scores
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fix(reflect): support continuous reward scores in failure filtering
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