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Document Processing Agent Example

This example demonstrates how to set up and use a document processing agent with the PilottAI framework.

Features

  • Text extraction from various document formats
  • Content analysis capabilities
  • Document summarization
  • Configurable processing tools

Setup

  1. Install required dependencies:
  1. Configure your environment:

Tools Included

Text Extractor

Extracts text content from documents:

Content Analyzer

Analyzes document content:

Summarizer

Generates document summaries:

Quick Start

Supported Document Types

  • PDF files
  • Text documents
  • Word documents (docx)
  • HTML files

Common Use Cases

  1. Document Analysis
  2. Text Extraction
  3. Content Summarization

Configuration Options

Customize agent behavior:

Best Practices

  1. Document Handling
    • Validate document formats before processing
    • Handle large documents in chunks
    • Implement proper error handling
  2. Performance
    • Configure appropriate timeouts
    • Use concurrent processing when possible
    • Monitor memory usage for large documents
  3. Error Handling
    • Validate input documents
    • Handle unsupported formats gracefully
    • Implement retry logic for failed operations

Troubleshooting

Common issues and solutions:
  1. File Access Errors
    • Ensure proper file permissions
    • Verify file paths are correct
    • Check file format compatibility
  2. Processing Timeouts
    • Adjust job_timeout in configuration
    • Process large documents in smaller chunks
    • Monitor system resources

Example Output

Code

Ready to use code document_processor.py