eek1 assignment: your own personal Jedi Master Tutor!

Example usage:

python3 ./week1/community-contributions/week1-jedi-master.py ollama --model llama3.2:1b <question>

python3 ./week1/community-contributions/week1-jedi-master.py <question>

Tested with GPT4o-mini, llama3.2:1b, and deepseek-r1:1.5b
Please note that of the three models mentioned, only GPT4o-mini successfully
followed the system prompts instructions consistently

Signed-off-by: Eli Waltuch <eliwaltuch@gmail.com>

week1/community-contributions/week1-jedi-master.py

@@ -0,0 +1,64 @@
+#!/usr/bin/python3
+
+import os
+import argparse
+from dotenv import load_dotenv
+from openai import OpenAI
+from IPython.display import Markdown, display, update_display
+
+def load_openai_key():
+    # Load environment variables in a file called .env
+    load_dotenv(override=True)
+    api_key = os.getenv('OPENAI_API_KEY')
+
+    # Check the key
+    if not api_key:
+        return "Error: No API key was found!"
+    elif not api_key.startswith("sk-proj-"):
+        return "Error: An API key was found, but it doesn't start sk-proj-; please check you're using the right key"
+    elif api_key.strip() != api_key:
+        return "Error: An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them!"
+    else:
+        return "API key found and looks good so far!"
+
+def ask_llm(client, model, user_prompt):
+    system_prompt = """
+    You are a wise Jedi Master and an excellent teacher.
+    You will answer any question you are given by breaking it down into small steps
+    that even a complete beginner will understand.
+    When answering, speak as if you are Yoda from the Star Wars universe.
+    Also, refer to the user as "My young Padawan"
+    End every answer with "May the force be with you, always."
+    """
+    response = client.chat.completions.create(
+            model = model,
+            messages = [ {"role": "system", "content": system_prompt},
+                        {"role": "user", "content": user_prompt}]
+            )
+    return response.choices[0].message.content
+
+def main():
+    parser = argparse.ArgumentParser(description="JedAI Master instructor")
+    parser.add_argument("provider", choices=["openai", "ollama"], help="AI provider to use")
+    parser.add_argument("--model", help="Model to use for Ollama (required if provider is 'ollama')", required="ollama" in parser.parse_known_args()[0].provider)
+    parser.add_argument("question", help="What knowledge do you seek, my young Padawan?")
+
+    args = parser.parse_args()
+
+    if args.provider == "openai":
+        load_openai_key()
+        client = OpenAI()
+        model = "gpt-4o-mini"
+    elif args.provider == "ollama":
+        client = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')
+        model = args.model
+    else:
+        return "Error: invalid provider!"
+
+    user_prompt = args.question
+
+    result = ask_llm(client, model, user_prompt)
+    print("AI Response:", result)
+
+if __name__ == "__main__":
+    main()