• Build AI agents using LangGraph / LangChain
• Integrate LLMs like OpenAI, Gemini, Claude
• Connect APIs, databases, and AWS services
• Design decision-making workflows
• Create end-to-end systems (UI → API → Agent)

• Python
• APIs (FastAPI / Flask)
• LLMs (OpenAI, Gemini)
• LangGraph / LangChain
• AWS (Lambda, API Gateway, S3)

import json

from openai import OpenAI

from common.constants import CHAT_GPT_API_KEY
from prompts.function_selection_prompt import SYSTEM_PROMPT


def addition(a, b):
    print("This is addition function")
    print("Results: ", a + b)


def subtraction(a, b):
    print("This is subtraction")
    print("Results: ", a - b)


def multiplication(a, b):
    print("THis is multiplication")
    print("Results: ", a * b)


if __name__ == "__main__":
    input = "Please do the subtract  for these two values 10, 5"
    client = OpenAI(api_key=CHAT_GPT_API_KEY)

    response = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[
            {"role": "system", "content": SYSTEM_PROMPT},
            {"role": "user", "content": input}
        ]
    )

    result = response.choices[0].message.content
    parsed = json.loads(result)
    print(parsed)

    if parsed['function'] == 'addition':
        addition(parsed['a'], parsed['b'])
    elif parsed['function'] == 'subtraction':
        subtraction(parsed['a'], parsed['b'])
    elif parsed['function'] == 'multiplication':
        multiplication(parsed['a'], parsed['b'])
    else:
        print("Please select proper process")