Task 𝟮 of KodeKloud's 𝗔𝗜 - 𝗟𝗲𝘃𝗲𝗹 𝟭 curriculum. Today's task was to Create an AI Chatbot.

Here were the task requirements: • Create a client instance using api_key and base_url • Define a variable prompt with the following content: You are a friendly travel guide. Greet the user and ask where they want to go. • Send this prompt to the OpenAI chat model and store the result in variable named 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘦 • Define a variable prompt with the following content: model: openai/gpt-4.1-mini temperature: 0.7 max_tokens: 100

Please review the script example provided. Here are some things to pay attention to:

1. I added comments on each section for clarification on what is happening and matching up with the task requirements
2. I didn't hard-code ANY api keys or base_urls. This is for 2 reasons, security and to make this modularized. This allows ANYONE to run this script with their own OpenAI credentials
3. I used the OpenAI library, not LangChain. This was due to the task requirements
4. To set up the local venv environment, I ran the following: 𝚙𝚢𝚝𝚑𝚘𝚗𝟹 -𝚖 𝚟𝚎𝚗𝚟 𝚟𝚎𝚗𝚟 && 𝚜𝚘𝚞𝚛𝚌𝚎 𝚟𝚎𝚗𝚟/𝚋𝚒𝚗/𝚊𝚌𝚝𝚒𝚟𝚊𝚝𝚎 && 𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚘𝚙𝚎𝚗𝚊𝚒

import os

# declaring the OpenAI client and passing explicitly the api_key and base_url
# the values are passed from the ENV keys found in /root/.bash_profile
client = OpenAI(
    base_url=os.environ.get("OPENAI_API_BASE"),
    api_key=os.environ.get("OPENAI_API_KEY")
)

prompt="You are a friendly travel guide. Greet the user and ask where they want to go."


# defining greet_user function with a user_prompt parameter for user prompt
def greet_user(user_prompt: str) -> str:
    # declaring model, max_tokens, and temperature
    response = client.chat.completions.create(
        model="openai/gpt-4.1-mini",
        messages=[
            {
                "role": "system", 
                "content": prompt
            },
            {
                "role": "user", 
                "content": user_prompt
            }
        ],
        temperature=0.7,
        max_tokens=100
    )
    # Extract and return the response text
    return response.choices[0].message.content

# declaring main
def main():
    response = greet_user("Hello")
    if response:
        # print the response
        print(response)
    else:
        print("Failed to retrieve response from LLM")

if __name__ == "__main__":
    main()

I hope you found this informative! More to come!![task_2_code]