two new community contribution templates for AI client usage and a multi-model chatbot debate

[hmusavi]

This pull request introduces two new community contribution templates for AI client usage and a multi-model chatbot debate, including sample environment configuration files and demonstration notebooks/scripts. The changes provide clear, reusable templates for connecting to various AI APIs (OpenAI, Ollama, Gemini), and a structured example of orchestrating a debate between multiple chatbots with distinct personalities and models. The most important changes are grouped below:

AI Client Template (Snarky Personality):

• Added api_client_template_snarky.ipynb and api_client_template_snarky.py, which demonstrate loading API credentials from environment variables, selecting between OpenAI, Ollama, or Gemini based on configuration, and interacting with the chosen model using snarky system/user prompts. Includes helper functions for prompt formatting and output display. [1] [2]
• Provided a sample .env file (sample.env) for easy configuration and switching between AI providers.

Chatbot Debate Example:
Introduces a community contribution featuring a chatbot debate between three personas using different LLMs via Ollama. Includes a Jupyter notebook, Python script, markdown transcript, and sample environment file for configuration. The example demonstrates multi-model conversational orchestration and debate logic to serve for the homework assignment of week2/day1. This implementation uses a function to build the user prompt based on a list of tuples consisting of the (mode, prompt). The function determines whether the prompt should be a user prompt or an assistant prompt.

• Added chatbot_debate.py, which sets up a multi-participant debate simulation using different models (OpenAI, Ollama, Gemma), loads configuration from .env, checks API/server status, and orchestrates a round-based debate with distinct system prompts for each chatbot persona.
• Included a markdown transcript (chatbot_debate.md) showing a sample debate on astrophysics, highlighting the conversational flow and model responses.
• Provided a sample .env file (sample.env) for configuring model names, debate topic, and participant details.