# Quick Start

## About

**Leopard Chat** is a **feature rich** and **configurable** chat client for the Conversational AI Platform, [*Teneo.*](https://www.artificial-solutions.com/teneo) 

It is being used in a number of production deployments and serves as a daily driver for the Sales Engineers at [Artificial Solutions](https://www.artificial-solutions.com/). 

Teneo is capable of returning rich data along with each response and Leopard leverages these responses to present an interactive chat experience.

## Built With 

* [Vue.js](https://vuejs.org/)
* [Vuetify](https://vuetifyjs.com/en/)

## Check List ✅

| Steps                                                                                   | Where            | Description                                                                                                                                                                                            |
| --------------------------------------------------------------------------------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [Extension Helper](/leopard/installation/extension-helper.md)                           | Studio           | Add the [Extension Helper](/leopard/installation/extension-helper.md) groovy script to Teneo Studio as either a resource or to the Global Scripts                                                      |
| [Global Variables & Pre-processing Scripts](/leopard/installation/context-variables.md) | Studio           | In Teneo Studio you will want to define a number of global variables and pre-processing scripts                                                                                                        |
| Install Prerequisites                                                                   | Operating System | [Git](https://git-scm.com/downloads), [Node.js](https://nodejs.org/en/download/), [Vue CLI](https://cli.vuejs.org/)                                                                                    |
| Clone Leopard                                                                           | Operating System | <p><code>git clone</code> <a href="https://github.com/jolzee/leopard-chat-ui-teneo"><code><https://github.com/jolzee/leopard-chat-ui-teneo></code></a></p><p><code>cd leopard-chat-ui-teneo</code></p> |
| [Build Variables](/leopard/installation/build-variables.md)                             | Operating System | You can control various build aspects of Leopard through build variables.                                                                                                                              |
| Run Leopard                                                                             | Operating System | `npm run serve`                                                                                                                                                                                        |
| Build for Production                                                                    | Operating System | `npm run build`                                                                                                                                                                                        |

## Browser Compatibility 🌍

[Vue.js](https://vuejs.org/) and [Vuetify ](https://vuetifyjs.com/en/getting-started/quick-start)are modern frameworks. Leopard will therefore run fine on Microsoft Edge, Opera, Firefox, Chrome, Safari and IE11.

<div align="left"><img src="/files/-LsrD8oGQBVJFaCp-wPK" alt=""></div>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://jolzee.gitbook.io/leopard/master.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.