0xWheatyz 44456cb073 feat: add database mode for LLM message storage and analytics ...

Implements a database mode that stores LLM prompts and responses in PostgreSQL
instead of making API calls. This enables:
- Testing without consuming API credits
- Collecting analytics on usage patterns
- Development and debugging workflows

Changes:
- Added DatabaseClient class for PostgreSQL operations
- Modified LLMAnalyzer to support database/API mode toggle
- Added USE_DATABASE config flag to switch between modes
- Included Docker Compose setup for PostgreSQL
- Added utility scripts for database init and analytics viewing
- Comprehensive documentation in DATABASE_MODE.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2026-03-10 21:13:13 -04:00

..

__init__.py

feat: patent retrival and semi-processed

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analyzer.py

feat: migrate from Anthropic API to OpenRouter

2026-02-22 12:26:56 -05:00

config.py

feat: add database mode for LLM message storage and analytics

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database.py

feat: add database mode for LLM message storage and analytics

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llm.py

feat: add database mode for LLM message storage and analytics

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serp_api.py

feat: add patent content minimization for LLM consumption

2026-02-19 18:54:07 -05:00

types.py

feat: patent retrival and semi-processed

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