[View code on GitHub](https://github.com/creatorrr/turbo-chat/blob/master/turbo_chat/structs/messages.py)

This code defines various message types and an example message collection for the Turbo-Chat project. The purpose of this code is to provide a structure for different types of messages that can be used in the chat application, such as system messages, user messages, and assistant messages.

The code starts by importing necessary modules and types, such as `List` from `typing`, `pydantic`, and `BaseMessageCollection`, `MessageRole`, and `Message` from `..types.messages`. It then defines the exported names using the `__all__` variable.

There are five message classes defined in this code:

1. `System`: Represents a system message with a fixed role of "system".
2. `User`: Represents a user message with a fixed role of "user".
3. `Assistant`: Represents an assistant message with a fixed role of "assistant" and an additional attribute `forward` set to `True`.
4. `ExampleUser`: Represents a user example message with a fixed role of "system name=example_user".
5. `ExampleAssistant`: Represents an assistant example message with a fixed role of "system name=example_assistant".

All these classes inherit from the `Message` class, which is imported from `..types.messages`.

The code also defines an abstract implementation called `Example`, which inherits from `BaseMessageCollection` and `pydantic.BaseModel`. This class has two attributes, `user` and `assistant`, and an asynchronous method `get()` that returns a list of `Message` objects. The `get()` method creates an `ExampleUser` message with the content of `self.user` and an `ExampleAssistant` message with the content of `self.assistant`.

In the larger project, these message classes can be used to create and manage different types of messages in the chat application. For example, when a user sends a message, an instance of the `User` class can be created with the appropriate content. Similarly, when the assistant responds, an instance of the `Assistant` class can be created. The `Example` class can be used to create example message collections for testing or demonstration purposes.
## Questions: 
 1. **Question:** What is the purpose of the `forward` attribute in the `Assistant` class?
   **Answer:** The `forward` attribute in the `Assistant` class is a boolean flag that indicates whether the assistant message should be forwarded or not. Its default value is set to `True`.

2. **Question:** How does the `Example` class work and what is its relationship with the `BaseMessageCollection` and `pydantic.BaseModel`?
   **Answer:** The `Example` class inherits from both `BaseMessageCollection` and `pydantic.BaseModel`. It represents an example message collection containing a user message and an assistant message. The `get` method returns a list of `ExampleUser` and `ExampleAssistant` instances with the provided content.

3. **Question:** What is the significance of the `__all__` variable in the code?
   **Answer:** The `__all__` variable is a list that defines the public interface of the module. It specifies which names should be imported when a client imports the module using a wildcard import (e.g., `from module import *`). In this case, it includes various message classes, roles, and the `BaseMessageCollection` class.