Files
OpenJarvis/tests
Jon Saad-FalconandClaude Opus 4.6 44dc78ff7a feat(optimize): add LLM optimizer for config tuning
Implement LLMOptimizer that uses a cloud LLM to propose and analyze
OpenJarvis configurations, inspired by DSPy's GEPA approach with
textual trace feedback rather than just scalar rewards. 46 tests pass.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-04 23:50:19 +00:00
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