An open API service indexing awesome lists of open source software.

https://github.com/pinsaraperera/intellihack_cli

This is the python CLI to connect viewMo cloud platform through your local machine. This python package let developers to create RAG agents by simply give the path of configuration file. And also by using this python package, developers can train there own chatbot with knowledge bank on VeiwMo platform and directly use it in there production.
https://github.com/pinsaraperera/intellihack_cli

cli cli-tools cloud-client viewmo

Last synced: 12 months ago
JSON representation

This is the python CLI to connect viewMo cloud platform through your local machine. This python package let developers to create RAG agents by simply give the path of configuration file. And also by using this python package, developers can train there own chatbot with knowledge bank on VeiwMo platform and directly use it in there production.

Awesome Lists containing this project

README

          

# Intellibot

Intellibot is a terminal-based client for interacting with the ViewMo cloud platform. It allows users to connect to the platform using their credentials and chat with the bot through a command-line interface. And also this package let users to initialize there own RAG Agents and run them on ViewMo platform.

## Installation

To install Intellibot, run:

```sh
pip install intellibot
```

## Usage

### Connect to Intellibot

To connect to Intellibot, use the `connect` command with your username and password:

```sh
intellibot connect --username --password
```

Example:

```sh
intellibot connect --username jane@gmail.com --password pass
```

This command logs in to Intellibot and saves credentials to `credentials.json`.

### Chat with Intellibot

Once connected, you can start a chat session with the bot using the `chat` command:

```sh
intellibot chat
```

Example:

```sh
intellibot chat
```

This starts an interactive chat session where you can type messages and receive responses until you type "exit" or "quit".

### Initialize AI Agents

To initialize the AI agent system with a JSON configuration file, use the `initialize` command:

```sh
intellibot initialize path/to/your/config.json
```

Example:

```sh
intellibot initialize C:/intellihack_4.0/cli/ViewMo/config.json
```

### Check Available Projects

To list all available projects for the authenticated user, use the `projects` command:

```sh
intellibot projects
```

Example:

```sh
intellibot projects
```

### Execute a Project

To execute a specified project, use the `execute` command:

```sh
intellibot execute project_name
```

Example:

```sh
intellibot execute "Mental health chatbot researcher"
```

### View Active User Details

To display details of the authenticated user, use the `user_details` command:

```sh
intellibot user_details
```

Example:

```sh
intellibot user_details
```

## Development

To install the package locally for development, navigate to the root directory (where `setup.py` is located) and run:

```sh
pip install .
```

You can then use the `intellibot` CLI commands as described above to test the functionality.

## Project Structure

```sh
Intellibot/
├── intellibot/
│ ├── __init__.py
│ ├── cli.py
│ └── api.py
├── setup.py
├── README.md
├── requirements.txt
└── MANIFEST.in
```

### API Module (`api.py`)

The `api.py` module contains the `IntelliBotAPI` class, which handles connection, chat, project management, and user details functionalities.

### CLI Module (`cli.py`)

The `cli.py` module defines the command-line interface using `click`. It includes commands for connecting to the backend, chatting with the bot, initializing agents, viewing projects, executing projects, and viewing user details.

## License

This project is licensed under the Apache 2.0 License.