hvac-kia-content/pyproject.toml
Ben Reed 0cda07c57f feat: Implement LLM-enhanced blog analysis system with cost optimization
- Added two-stage LLM pipeline (Sonnet + Opus) for intelligent content analysis
- Created comprehensive blog analysis module structure with 50+ technical categories
- Implemented cost-optimized tiered processing with budget controls ($3-5 limits)
- Built semantic understanding system replacing keyword matching (525% topic improvement)
- Added strategic synthesis capabilities for content gap identification
- Integrated batch processing with fallback mechanisms and dry-run analysis
- Enhanced topic diversity from 8 to 50+ categories with brand tracking
- Created opportunity matrix generator and content calendar recommendations
- Processed 3,958 competitive intelligence items with intelligent tiering
- Documented complete implementation plan and usage commands

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-29 02:38:22 -03:00

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TOML

[project]
name = "hvac-kia-content"
version = "0.1.0"
description = "Add your description here"
requires-python = ">=3.12"
dependencies = [
"anthropic>=0.64.0",
"feedparser>=6.0.11",
"google-api-python-client>=2.179.0",
"instaloader>=4.14.2",
"jinja2>=3.1.6",
"markitdown>=0.1.2",
"playwright>=1.54.0",
"playwright-stealth>=2.0.0",
"psutil>=7.0.0",
"pytest>=8.4.1",
"pytest-asyncio>=1.1.0",
"pytest-cov>=6.2.1",
"pytest-mock>=3.14.1",
"python-dotenv>=1.1.1",
"pytz>=2025.2",
"requests>=2.32.4",
"schedule>=1.2.2",
"scrapling>=0.2.99",
"tenacity>=9.1.2",
"tiktokapi>=7.1.0",
"youtube-transcript-api>=1.2.2",
"yt-dlp>=2025.8.11",
]