Tag: Branch: Tree: d43ea4c7b9

data-init-fixes

master

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5 Commits (d43ea4c7b9653e2e57f439a7f6b6da02a1460c89)

Author	SHA1	Message	Date
Eric0801	cbd580bb12	feat: V2 prompt system with benchmarks and CoT for Demo Day ... - Add investment_advice_v2.py (educational content) - Add market_benchmark.py (0050.TW/SPY real-time data) - Update main.py (CoT parameter support) - Update llm_service.py (V2 integration) - Update result_view.html (CoT toggle, marked.js) - Add render.yaml (deployment config) - Update .gitignore (protect .env, node_modules, logs)	4 months ago
Eric0801	1c16cb4321	[UX] Remove accordion, restore detailed prompt, keep popover options ... - Removed accordion functionality as content became too sparse - Restored detailed prompt structure from llm_service.py - Enhanced fallback analysis with comprehensive metrics (VaR, R2, etc) - Kept popover options for different analysis modes - Updated max_tokens to 3000 for more detailed responses	4 months ago
Eric0801	14407e04d2	feat: improve LLM output styling and prompt structure ... - Modernize CSS styling with gradients, better typography, and responsive design - Enhance prompt structure with emoji icons and clearer sections - Integrate prompts/investment_advice.py templates into llm_service.py - Add fallback mechanism for prompt templates - Improve visual hierarchy and readability	5 months ago
Eric0801	45e9ea7ec2	Add LLM investment advice feature with OpenAI integration\n\n- Created llm_service.py with comprehensive LLM advisor\n- Added config_openai.py for API configuration\n- Created prompts/investment_advice.py with prompt templates\n- Updated requirements.txt with OpenAI dependency\n- Modified main.py with /api/llm_advice endpoint\n- Enhanced result_view.html with LLM advice section\n- Added CSS styling for better UI\n- Created LLM_SETUP.md setup guide\n- Added test_llm_service.py for testing\n- Implemented caching, retry logic, and error handling\n- Features: strategy analysis, risk assessment, market insights	5 months ago
joseph	9e7c4c973b	init	3 years ago