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README.md

Programmable Prompt Engine (PPE) Script Examples 🤖

This directory contains a collection of example scripts to demonstrate the capabilities of the Programmable Prompt Engine (PPE). Each example showcases a different use case and highlights how to effectively leverage PPE's features.

Example Scripts

  • calculator:
    • A simple calculator agent that demonstrates how to use the -> operator to connect script outputs to subsequent scripts, creating complex workflows.
    • Workflow:
      1. The LLM receives a mathematical expression (content).
      2. It processes the expression and outputs a thought process (thinking).
      3. The extract-calc-result script then extracts the final calculated result from the LLM's output.
  • extract-calc-result:
    • This script defines an AI workflow for extracting the result of a calculated math problem from text.
    • Input: The script receives the LLM's output (content) as input.
    • Output: A JSON object containing:
      • result: The final calculated result (number, object, boolean, or string).
      • steps: A list of steps taken by the LLM during the calculation process.
      • answer: The LLM's final answer.
  • resolve-math-problem.ai:
    • A demo agent for resolving math problems.
    • Input: Takes a user's math problem as a string.
    • Workflow:
      • If content is provided, it starts the problem-solving process.
      • If no content is provided, it greets the user and introduces itself as a math assistant.
  • call-translator:
    • This example showcases how to invoke the translator lib script.
  • char-dobby:
    • An interactive demo featuring a character agent named Dobby.
    • Demonstrates the use of the type keyword in the configuration section.
  • recipe:
    • A Multilingual Recipe Assistant demo
    • Key Features:
      • Multilingual Support: Understands and responds in multiple languages.
      • Cuisine Specificity: Provides recipes from a specific cuisine.
      • Ingredient-Based Recommendations: Suggests recipes based on available ingredients.
      • JSON Output Format: Optionally outputs responses in JSON format.
    • Input:
      • ingredients: A list of available ingredients.
      • cuisine: (Optional) Desired cuisine type.
      • lang: (Optional) User's preferred language.
      • json: (Optional) Boolean flag for JSON output.
    • Output:
      • An array of recipe objects, each containing:
        • recipeName: Name of the recipe.
        • instructions: Cooking steps.
        • ingredients: Ingredient list with name and amount.
        • reason: Rationale behind the suggestion.
  • translator-simple:
    • A simple translator agent demo.
    • Translation Task: Translate text from one language to another.
    • Input:
      • content: Text to be translated (required).
      • target: Target language (required).
      • lang: Original language (optional).
    • Output:
      • A JSON object containing:
      • translation: The translated text.
      • original: The original text.
      • lang: The original language.
      • target_lang: The target language.
      • reason: Explanation of the translation process (optional).
    • Parameters:
      • continueOnLengthLimit: Allows translation to continue even if the text exceeds a length limit.
      • maxRetry: Specifies the maximum number of retries for the translation.
      • response_format: Sets the output format to JSON.