Prompt Rendering Example

This guide provides a professional, step-by-step walkthrough for using the Prompt class in the agenticaiframework package to create and render dynamic text templates.
It is intended for developers building AI-driven applications that require flexible, parameterized prompt generation.

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Prerequisites & Configuration

• Installation: Ensure agenticaiframework is installed and accessible in your Python environment.
• No additional configuration is required for this example.
• Python Version: Compatible with Python 3.8+.

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Code

from agenticaiframework.prompts import Prompt

if __name__ == "__main__":
    # Create a prompt template
    prompt_instance = Prompt(
        template="Write a {length} paragraph summary about {topic}."
    )

    # Render the prompt with variables
    rendered_prompt = prompt_instance.render(length="short", topic="artificial intelligence")
    print("Rendered Prompt:", rendered_prompt)

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Step-by-Step Execution

1. Import the Class
   Import Prompt from agenticaiframework.prompts.

2. Create a Prompt Template
   Instantiate the Prompt class with a template string containing placeholders in {} format.

3. Render the Prompt
   Call render with keyword arguments matching the placeholders in the template.

4. Output the Result
   Print or log the rendered prompt for use in downstream AI model calls.

Best Practice: Keep prompt templates clear and concise, and use descriptive placeholder names to improve maintainability.

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Expected Input

No user input is required; the script uses hardcoded values for demonstration purposes. In production, placeholder values could be dynamically generated from user input, database queries, or API responses.

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Expected Output

Rendered Prompt: Write a short paragraph summary about artificial intelligence.

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How to Run

Run the example from the project root:

python examples/prompts_example.py

If installed as a package, you can also run it from anywhere:

python -m examples.prompts_example

Tip: Store frequently used prompt templates in a configuration file or database for easy reuse and updates.