Email Assistant

This example shows how to create a basic email assistant. This assistant takes in an email and will write a response. It allows you to prompt it with:

1. An email
2. Directions on how to respond

Then it generates questions for you for clarifications, and uses the answer to write a draft. It will go back and forth with you until you are satisfied with the response.

This demonstrates how to do multi-shot modeling interactively with an LLM. You'll learn:

1. How to move in/out of program control -> user control
2. How to process inputs at multiple points through the process
3. How to involve multi-shot modeling with an LLM

How to run

To run this example, you need to install the following dependencies:

pip install -r requirements.txt

Then if you run jupyter lab you can open/execute the notebook. This simulates an interactive web app. The notebook is the best way to get started.

Note we will be adding two things to this demo:

1. An integration with the burr web app
2. a standalone server example with a walkthrough

Open the notebook