Lazer is a Python library that provides a convenient way to expose Python functions as schemas for OpenAI chat models.

We're using OpenAI's new Function Calling API for this: <https://platform.openai.com/docs/guides/gpt/function-calling>.

We also made a demo called "gptbackdoor" that exposes a set of system functions for ChatGPT to call arbitrarily. It's in the `demo/` folder. Here's an example conversation:

  > What is in lazer/__init__.py
  < The `lazer/__init__.py` file contains the initialization of the `Lazer` and `LazerConversation` classes. 
  
  The `Lazer` class is responsible for managing the functions and their schemas. It initializes with an empty list of functions and a mapping of function names to functions. It also has methods to dispatch function calls, retrieve the list of functions, and add new functions to the list.
  
  The `LazerConversation` class represents a conversation with the `Lazer` instance. It initializes with an empty list of messages, a reference to the `Lazer` instance, and the chat completion arguments provided. It has a `talk` method that takes user input and uses the OpenAI Chat API to generate a response. The conversation messages and function calls are stored in the `self.messages` list.
  
  > Write a README for this code and write that into the README.md file.
  < I have written the README and saved it in the README.md file.

Theoretically, you can also expose a function that allows ChatGPT to talk to itself. However, we have tried this, and it ended up crashing due to infinite recursion.