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Skill optimization framework for LLMs — evolve system prompts via textual gradient descent with beam search, human-in-the-loop annotation, and DPO preference data export.
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77
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refactor: adopt Kode+ASO primary pipeline and archive legacy demos
07d3148View on GitHubdocs: Kode integration guide, experiment records, updated README
327ffdcView on GitHubsecurity: remove hardcoded API keys from demo_harness_apo.py
470c3abView on GitHubfeat: optimizer parses structured rewriter output (tools + split)
c747864View on GitHubfeat: Harness APO demo — end-to-end skill optimization with real agent loop
37a766aView on GitHubfeat: harness scorer + tool-aware gradient + skill-builder rewriter
cb49dbfView on GitHubfeat: standard APO with cross-round beam pool + concurrent scoring
db85d94View on GitHubfix: framer-motion global is 'Motion' not 'framer-motion', add missing hooks
9955ae5View on GitHub