Adding AI-Powered Currency Conversion and Arithmetic with PydanticAI_Agnets_Custom_Tools_And_OpenAI_LLM

[05satyam]

OpenAI LLM based agentic implementation using Pydantic-Agents & Custom Tools implementation

📌 Summary

This PR introduces an implementation of Pyndantic AI Agents & Tools using OpenAI's models. It provides a structured approach to executing function calls, integrating external tools, and leveraging AI-driven decision-making. The content includes well-documented examples demonstrating the calculate and currency exchange tools within an agent-based workflow.

Key Additions:

• Function tools: Implements calculate (arithmetic operations) and exchange_currency (currency conversion).
• Agent integration: Uses OpenAI models to handle user queries efficiently.
• Example use case: Multi-step queries where the agent can invoke the appropriate tool dynamically.
• Error handling & best practices: Ensures robust input validation, response parsing, and API reliability.

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Motivation

This addition enhances the OpenAI Cookbook by providing:

• Practical Examples: Demonstrates how to extend LLM capabilities with external tools and specifically on how to build agents with PyndanticAI and OpenAI together.
• Real-world Use Cases: Covers function calling, structured outputs, and agent routing.
• Best Practices: Implements guardrails, error handling, and optimized prompt engineering.
• Expands the Cookbook: Addresses a gap in multi-tool agent interactions with PyndanticAI- a framework used widely among the community.

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📌 Notes for Reviewers

• Let me know if any modifications or refinements are required.
• I am open to feedback and will address any suggested improvements promptly.
• Thank you for reviewing this contribution!
• Satyam Mittal