**Short:** The AI Assistant Subpackage contains two AI assistants for the backend. The `first_contact.py` assistant is the initial point of contact for potential clients, while the `follow_up_qa.py` assistant handles follow-up interactions after meetings with the lawyer.

**Short:** (empty file)

**Short:** The code provided is a Python module that includes classes for managing a synced message history and a synced GPT (Generative Pre-trained Transformer) model. The `SyncedHistory` class manages message history and the currently generating partial message, while the `SyncedGPT` class manages the GPT model and its interactions with the message history.

**Short:** This file appears to be a Python script that defines classes and functions for a legal chatbot. It includes tools for summarizing a potential client's legal case, ending a chat session, and sending emails. The chatbot is designed to assist potential legal clients by asking relevant questions, determining if the law firm can address their needs, and suggesting a suitable lawyer for the case.

**Short:** The given code is a Python module that defines two classes, `LegalDBToolkit` and `FollowUpBot`. The `LegalDBToolkit` class provides tools for querying law articles, meeting dialogs, sending messages to the lawyer, and scheduling meetings. The `FollowUpBot` class initializes a chatbot for assisting clients with legal queries and follows a set of rules for interaction.

**Short:** The given code defines two functions, `format_query_dialog` and `format_query_law`, which take a query result as input and format it into a specific string format. If the query result is empty, the functions return "No result found".

**Short:** The database subpackage contains the vector database used by the AI assistant to answer questions, utilizing qdrant as the underlying DB. It includes a custom wrapper around qdrant in the `core/` directory and schemas for each collection in the DB in `schemas.py`. Additionally, there are Jupyter notebooks in the parent directory for creating and populating the lawyer and legal databases, as well as a mocked case.

**Short:** The given file appears to import various schemas and databases related to lawyers, cases, meetings, dialogs, law articles, and case records.

**Short:** The file contains Python code that utilizes the GPT-3.5 and GPT-4 language models to generate imaginary dialogs and meeting summaries for legal cases. It also includes functions to format and summarize the generated content.

**Short:** This module defines schemas for managing lawyers, cases, meetings, dialogs, law articles, and case records in databases.

**Short:** The file contains functions for formatting and processing data related to dialogs and lawyers. It includes functions for converting a meeting timestamp to a Unix timestamp, formatting dialogs, formatting summaries, formatting a single lawyer's information, and formatting information for multiple lawyers.

**Short:** The server subpackage contains the backend server using FastAPI and Uvicorn for the web framework and ASGI server, respectively. It utilizes WebSocket connections for maintaining a persistent connection to the frontend and handles efficient state synchronization using JSON Patches and event/action/task handlers.

**Short:** The code defines a `CaseManager` class that initializes a case and its meetings, and creates a follow-up bot for the latest meeting. It also includes a `Sync` object for syncing data.

**Short:** The code defines two functions: `send_email` and `is_valid_email`. The `send_email` function uses the yagmail library to send an email, while the `is_valid_email` function checks if a given email address is valid based on a regular expression pattern.

**Short:** This Python file appears to be a server implementation using FastAPI for a web-based chat application. It includes WebSocket endpoints for handling user connections, as well as serving static HTML files for different chat interfaces.

**Short:** This Python module defines a simple state syncing protocol between the frontend and the backend. It includes a `Connection` class for managing the websocket connection, event handling, and networking. Additionally, it provides a `Sync` class for syncing object attributes with the frontend and handling actions and tasks.

**Short:** The given Python code consists of two functions. The `get_ip` function is used to retrieve the IP address of the local machine, while the `open_qr` function opens a web browser to display a QR code based on the input data.

**Short:** This code snippet imports the `createContext` function from the "react" library and then creates a new context called `DataContext` using the `createContext` function.

**Short:** The given code appears to be a TypeScript file that sets up the global styles, metadata, viewport, and root layout for a web application.

**Short:** This code is a React component that serves as the main page of a chat application. It includes UI elements, connection handling, and state management for the chat messages and other synced data.

**Short:** This code is a React component that provides a connection to a WebSocket server based on whether the code is running on the client or server side.

**Short:** This is a React component file that defines the `Home` component. It includes state management using hooks, context usage, and rendering of UI components for a chat application.

**Short:** The code provided is a React component that conditionally renders a `ConnectionProvider` based on whether the code is running on the client side or not.

**Short:** The file contains React components for creating a popover with a tooltip and a confirm button with a tooltip.

**Short:** The code defines a React component called `Expander` which is a customized wrapper for the `Accordion` component from the `@nextui-org/react` library. It allows for additional styling and customization options.

**Short:** The given code is a React component that renders Markdown content using the `react-markdown` library. It also utilizes plugins like `remark-gfm`, `remark-math`, `rehype-katex`, and `rehype-raw` for additional functionality.

**Short:** The code defines a custom React component `SingleSelect` that extends the `Select` component from the `@nextui-org/react` library. It takes in custom props for selected value, setting selected value, and a list of values. It handles selection changes and merges custom class names with defaults.

**Short:** The given code is a TypeScript file that defines two React components: `LoadChat` and `DebugSidebar`. The `LoadChat` component allows users to load chat history from a .json file, while the `DebugSidebar` component provides a debug interface for chat-related options.

**Short:** This file contains code for a React component called `SidebarLayout` which manages the visibility and layout of a sidebar and its content based on the screen size.

**Short:** The code provided is a TypeScript file that defines a `ConnectionProvider` component and a `Connection` class. The `ConnectionProvider` component is used to manage a WebSocket connection and provides the connection context to its children. The `Connection` class is responsible for handling WebSocket connections, sending and receiving messages, and managing event handlers.

**Short:** The code defines a custom hook `useRemoteToast` which uses a connection to register and deregister events for displaying toast messages.

**Short:** The code provided is a TypeScript module that contains a custom hook for managing state synchronization between a local and remote source using React's `useReducer` and `useContext` hooks. It also includes functions for sending and handling events, as well as managing state updates and side effects.