JSON Agent

The JSON Agent provides an intelligent interface for querying and manipulating JSON data. It translates natural language queries into JSON operations, handles complex data structures, and provides detailed analysis of JSON content.

JSON Agent workflow and architecture

Configuration Parameters

Required Input Parameters

input: Natural language query or instruction
file_path: Path to JSON file

Optional Configuration

llm: Language model configuration
- model_name: Model identifier
- temperature: Response creativity
- max_tokens: Response length limit
json_config: JSON handling options
- max_depth: Maximum nesting level
- array_limit: Maximum array items to process
- preserve_order: Maintain key order
- pretty_print: Format output

Output Format

{
  "agent": {
    "status": "success" | "error",
    "execution_info": {
      "operation_type": string,
      "paths_accessed": array,
      "modifications_made": array
    },
    "json_analysis": {
      "structure": {
        "depth": number,
        "keys_found": array,
        "data_types": object
      },
      "validation": {
        "is_valid": boolean,
        "issues": array
      }
    }
  },
  "response": {
    "query_result": {
      "data": any,
      "type": string,
      "path": string
    },
    "metadata": {
      "total_matches": number,
      "processing_time": number
    },
    "analysis": {
      "summary": string,
      "insights": array,
      "suggestions": array
    },
    "transformations": {
      "applied": array,
      "reverted": array,
      "failed": array
    }
  }
}

Features

Natural language JSON querying
Complex data traversal
Schema validation
Data transformation
Structure analysis
Error handling
Performance optimization
Format preservation

Note: Consider memory usage when processing large JSON files. Use array_limit and max_depth for better performance.

Tip: Use specific queries for better accuracy. Enable pretty_print for more readable output during development.

Example Usage

const jsonAgent = new JSONAgent({
  file_path: "./data/complex.json",
  llm: {
    model_name: "gpt-4",
    temperature: 0.3
  },
  json_config: {
    max_depth: 5,
    array_limit: 1000,
    preserve_order: true,
    pretty_print: true
  }
});

const response = await jsonAgent.process({
  input: "Find all users with active subscriptions and summarize their usage patterns"
});