To complete this exercise you must fully understand about Python, Langchain, and LLM.

Follow the template in here: https://colab.research.google.com/drive/1Crs_rSdsZDhksqASBnJhrJqVI1IzeMtD?usp=sharing

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Grading Rubric

Submit your Python script or Google Colab notebook.

  • 4 points: 0.5 point awarded for each correct answer to the query
  • 1 point: Implement using different API end point from Sectors
  • 2 points: Demonstrates initiatives to improve your AI agent using suggestions from the course material (https://docs.sectors.app/recipes/generative-ai-python/02-tool-use#going-further-improving-the-rag-system)
  • 1 point: Create a Streamlit to incorporate the LLM and the question + answer in the UI
  • 2 points: Add another LLM tools that can answer questions from the user (please create the UI too)

🔴 IMPORTANT: DO NOT SHARE YOUR SECRETS. USE from google.colab import userdata to read your environment variables. Under no circumstance should you secret keys be ever visible. An inclusion of your key in the notebook will automatically disqualify your work, and for your own benefit, .

Lab: Django - RoutePython Programming