methunraj
refactor: restructure project with modular prompts and instructions
90b0a17

Instructions Directory

This directory contains all agent instructions used by the Data Extractor application in JSON format.

Structure

instructions/
β”œβ”€β”€ README.md (this file)
└── agents/
    β”œβ”€β”€ data_extractor.json     # Data extraction agent instructions
    β”œβ”€β”€ data_arranger.json      # Data organization agent instructions
    └── code_generator.json     # Excel code generation agent instructions

JSON Format

Each instruction file follows this structure:

{
  "instructions": [
    "First instruction line",
    "Second instruction line",
    "..."
  ],
  "agent_type": "data_extractor|data_arranger|code_generator",
  "description": "Brief description of the agent's role",
  "category": "agents or other category"
}

Benefits of JSON Format

  1. Structure: Clean separation of instructions as array elements
  2. Metadata: Includes agent type and description for context
  3. No Conversion: Direct use as lists - no need to split strings
  4. Maintainability: Easy to add, remove, or reorder instructions
  5. Validation: JSON schema validation possible

Usage

from utils.prompt_loader import prompt_loader

# Load as list for agent initialization
instructions_list = prompt_loader.load_instructions_as_list("agents/data_extractor")

# Load as string for other uses
instructions_text = prompt_loader.load_instruction("agents/data_extractor")