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Bob Strahan
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Update CHANGELOG.md with Agent Analysis feature documentation
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CHANGELOG.md

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- **Agent Analysis Feature for Natural Language Document Analytics**
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- Added integrated AI-powered analytics agent that enables natural language querying of processed document data
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- **Key Capabilities**: Convert natural language questions to SQL queries, generate interactive visualizations and tables, explore database schema automatically
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- **Secure Architecture**: All Python code execution happens in isolated AWS Bedrock AgentCore sandboxes, not in Lambda functions
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- **Multi-Tool Agent System**: Database discovery tool for schema exploration, Athena query tool for SQL execution, secure code sandbox for data transfer, Python visualization tool for charts and tables
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- **Example Use Cases**: Query document processing volumes and trends, analyze confidence scores and extraction accuracy, explore document classifications and content patterns, generate custom charts and data tables
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- **Sample W2 Test Data**: Includes 20 synthetic W2 tax documents for testing analytics capabilities
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- **Configurable Models**: Supports multiple AI models including Claude 3.7 Sonnet (default), Claude 3.5 Sonnet, Nova Pro/Lite, and Haiku
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- **Web UI Integration**: Accessible through "Document Analytics" section with real-time progress display and query history
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- **Automatic Glue Table Creation for Document Sections**
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- Added automatic creation of AWS Glue tables for each document section type (classification) during processing
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- Tables are created dynamically when new section types are encountered, eliminating manual table creation
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- Consistent lowercase naming convention for tables ensures compatibility with case-sensitive S3 paths
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- Tables are configured with partition projection for efficient date-based queries without manual partition management
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- Automatic schema evolution - tables update when new fields are detected in extraction results
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## [0.3.9]
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