Documentation

CSV Agent

The CSV Agent is a specialized component that processes, analyzes, and manipulates CSV data files with intelligent parsing, data cleaning, and transformation capabilities.

CSV Agent Component

CSV Agent interface and configuration options

Configuration Parameters

Required Parameters

  • File Path: Path to CSV file
  • Language Model: The AI model for processing
  • Agent Type: Type of analysis
  • Delimiter: CSV field separator
  • Encoding: File encoding format

Optional Configuration

  • Parse Options: CSV parsing settings
    • skipRows: Number of rows to skip
    • headerRow: Header row index
    • skipEmptyLines: Skip empty lines
  • Data Cleaning: Cleaning options
    • removeNulls: Remove null values
    • trimWhitespace: Trim whitespace
    • convertTypes: Auto-convert types
  • Memory Management: Memory options
    • chunkSize: Processing chunk size
    • maxMemory: Maximum memory usage

Output Format

{
  "result": {
    "data": array,
    "analysis": {
      "rowCount": number,
      "columnCount": number,
      "summary": object
    },
    "metadata": {
      "processingTime": string,
      "memoryUsed": string,
      "transformations": array
    }
  }
}

Example Usage

const csvAgent = new CSVAgent({
  filePath: "data/sales_records.csv",
  languageModel: "gpt-4",
  agentType: "data-analysis",
  delimiter: ",",
  encoding: "utf-8",
  parseOptions: {
    skipRows: 0,
    headerRow: 0,
    skipEmptyLines: true
  },
  dataCleaning: {
    removeNulls: true,
    trimWhitespace: true,
    convertTypes: true
  },
  memoryManagement: {
    chunkSize: 1000,
    maxMemory: "1GB"
  }
});

const result = await csvAgent.process({
  input: "Analyze sales trends by region"
});

Best Practices

  • Validate CSV format before processing
  • Use appropriate encoding settings
  • Implement memory-efficient processing
  • Handle missing or invalid data
  • Monitor processing performance