3 Commits

Author	SHA1	Message	Date
leehwui	65cdcf29dc	refactor: replace OPRO with simple iterative refinement ... Major changes: - Remove fake OPRO evaluation (no more fake 0.5 scores) - Add simple refinement based on user selection - New endpoint: POST /opro/refine (selected + rejected instructions) - Update prompt generation to focus on comprehensive coverage instead of style variety - All generated instructions now start with role definition (你是一个...) - Update README to reflect new approach and API endpoints Technical details: - Added refine_based_on_selection() in prompt_utils.py - Added refine_instruction_candidates() in user_prompt_optimizer.py - Added OPRORefineReq model and /opro/refine endpoint in api.py - Updated frontend handleContinueOptimize() to use new refinement flow - Changed prompt requirements from 'different styles' to 'comprehensive coverage' - Added role definition requirement as first item in all prompt templates	2025-12-08 09:43:20 +08:00
leehwui	1376d60ed5	feat: implement true OPRO with Gemini-style UI ... - Add true OPRO system instruction optimization (vs query rewriting) - Implement iterative optimization with performance trajectory - Add new OPRO API endpoints (/opro/create, /opro/generate_and_evaluate, /opro/execute) - Create modern Gemini-style chat UI (frontend/opro.html) - Optimize performance: reduce candidates from 20 to 10 (2x faster) - Add model selector in UI toolbar - Add collapsible sidebar with session management - Add copy button for instructions - Ensure all generated prompts use simplified Chinese - Update README with comprehensive documentation - Add .gitignore for local_docs folder	2025-12-06 17:24:28 +08:00
xxm	dd5339de32	原始代码	2025-12-05 07:11:25 +00:00