Front end

This page provides a guide for embedding a Mindset agent in a Multiple Page Application.If you want to embed a Mindset agent in a Single Page Application (e.g., React, Vue, Angular), we recommend reading the current page in order to understand the main concepts and then checking the Sample code for embedding an agent in a Single Page Application

Front-end script

There are 3 steps to follow in your Front-end code in order to embed a Mindset agent: 1. Add the mindset-sdk2.js script

<script src="MINDSET-SDK-URL/mindset-sdk2.js"></script>

Replace MINDSET-SDK-URL with the URL provided by Mindset AI.

2. Add the <mindset-agent> HTML tag

<mindset-agent 
    agentUid='YOUR-AGENT-UID'
    style='width: 100%; height: 600px; display: block; background-color: rgb(255, 255, 255); overflow: hidden; border-radius: 12px;'>
</mindset-agent>

Replace YOUR-AGENT-UID with the AgentUid you want to embed

3. Call the mindset.init() method with your configuration

<script>
   mindset.init({
    appUid: "YOUR-APP-UID",
    enableVoice: 'true'
    })
</script>

Replace YOUR-APP-UID with yours

In the case that your agent uses the anonymous access, you have to whitelist URLs in your Agent Management Studio. (For example you can whitelist http://localhost while your are testing your code locally)
In case your agent uses the authenticated access, you have to set the fetchAuthentication param in the Mindset.init() method. (See above The fetchAuthentication method for more details)

Parameters required for your configuration

In order to get your configuration parameters, you either contact the Mindset AI team or you can directly go on your Agents Management Studio dashboard listing your live agents. For each of those agents you will be able to display the full deployment instructions with your specific configuration parameters already displayed:

Sample live agent deployment instructions:

Sample live agent deployment instructions

You can also ask directly Mindset for the required parameters:

Parameter	Description
MINDSET-SDK-URL	This will be provided by the Mindset AI team.
YOUR-APP-UID	Your appUid is provided by mindset.
YOUR-AGENT-UID	The agent Uid you want the user chat with. You can find that Agent Uid in the setting of the agent in the Agent Management Portal.

The fetchAuthentication method

In case your agent uses the authenticated access, you have to set the fetchAuthentication param in the Mindset.init() method and provide a method which will be in charge of fetching the authToken from your Back-end authentication script Let’s say your front-end method is named getAuthToken, you then have to set the fetchAuthentication param as follows:

<script>
   mindset.init({
    fetchAuthentication: getAuthToken,
    appUid: "YOUR-APP-UID",
    enableVoice: 'true'
    })
</script>

Below an example of a such method (which basically just fetch the response from your back-end script) to include in your front-end code:

Sample fetchAuthentication method

<script>

    async function getAuthToken() {
        const userAuthTokenServerUrl = `YOUR-BACKEND-API-RETURNING-AUTHTOKEN`
        // e.g. https://mycompany-backend/api/getusertoken

        try {
            const headers = {
                "accept": "application/json",
                "Content-Type": "application/json"
            };
            const response = await fetch(userAuthTokenServerUrl, {
                method: 'POST',
                headers: headers
            });
            if (!response.ok) {
                throw new Error(`HTTP error! status: ${response.status}`);
            }
            const responseData = await response.json();
            return responseData.authToken;
        } catch (error) {
            console.log('Error fetching auth token:', error);
            throw error;
        }
    }

</script>

Front-end page full example

With anonymous access

Sample HTML page embedding an agent:

<html>
    <head>
        <meta name="viewport" content="width=device-width, initial-scale=1">
        <script src="MINDSET-SERVER-URL/mindset-sdk2.js"></script>

        <script>
            mindset.init({
                appUid: "YOUR-APP-UID",
                enableVoice: 'true'
                })
        </script>   
    </head>

    <body>
        <div class="main-container">
            <h1>Mindset Embedded Agent</h1>
        
            <mindset-agent 
                agentUid='YOUR-AGENT-UID'
                style='width: 100%; height: 600px; display: block; background-color: rgb(255, 255, 255); overflow: hidden; border-radius: 12px;'>
            </mindset-agent>
        </div> 
    </body>
</html>

With authenticated access

Sample HTML page embedding an agent including the fetchAuthentication method

<html>
    <head>
        <meta name="viewport" content="width=device-width, initial-scale=1">
        <script src="MINDSET-SERVER-URL/mindset-sdk2.js"></script>

        <script>
            async function getAuthToken() {
                const userAuthTokenServerUrl = `YOUR-BACKEND-API-RETURNING-AUTHTOKEN` 
                // e.g. https://mycompany-backend/api/getusertoken/${currentUserId}

                try {
                    const headers = {
                        "accept": "application/json",
                        "Content-Type": "application/json"
                    };
                    const response = await fetch(userAuthTokenServerUrl, {
                        method: 'POST',
                        headers: headers
                    });
                    if (!response.ok) {
                        throw new Error(`HTTP error! status: ${response.status}`);
                    }
                    const responseData = await response.json();
                    return responseData.authToken;
                } catch (error) {
                    console.log('Error fetching auth token:', error);
                    throw error;
                }
            }

            mindset.init({
                fetchAuthentication: getAuthToken, 
                appUid: "YOUR-APP-UID",
                enableVoice: 'true'
                })
        </script>   
    </head>

    <body>
        <div class="main-container">
            <h1>Mindset Embedded Agent</h1>
        
            <mindset-agent 
                agentUid='YOUR-AGENT-UID'
                style='width: 100%; height: 600px; display: block; background-color: rgb(255, 255, 255); overflow: hidden; border-radius: 12px;'>
            </mindset-agent>
        </div> 
    </body>
</html>

Customizing the agent UI colors

There is a default Theme color palette for the agent UI, but you can customize it by passing a theme parameter to the mindset.init() method. Please read the Agent UI color theme documentation for more details about the available options.

Customizing the agent Font

There is a default Font for the agent UI, but you can customize it by passing a customFontTheme parameter to the mindset.init() method. Please read the Agent Fonts customization documentation for more details about the available options.

Flexible agent UI

The <mindset-agent> tag can be wrapped in any <Div> element of your page. But if you prefer to have a more flexible UI for your agent and you need to let the agent Ui always visible anywhere but without being intrusive, there is the option to enable the Flexible agent UI mode. Please read the Flexible Agent UI documentation for more details.

Overview

SDK 2

API Overview

API playground

Front-end script

Parameters required for your configuration

The fetchAuthentication method

Front-end page full example

With anonymous access

With authenticated access

Customizing the agent UI colors

Customizing the agent Font

Flexible agent UI

Overview

SDK 2

API Overview

API playground

​Front-end script

​Parameters required for your configuration

​The fetchAuthentication method

​Front-end page full example

​With anonymous access

​With authenticated access

​Customizing the agent UI colors

​Customizing the agent Font

​Flexible agent UI

Front-end script

Parameters required for your configuration

The fetchAuthentication method

Front-end page full example

With anonymous access

With authenticated access

Customizing the agent UI colors

Customizing the agent Font

Flexible agent UI