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In just a few minutes, you’ll learn how to add powerful AI chat capabilities to enhance your user experience. You can set up the agent with a pathway ID or use a agent prompt. To get started with creating a widget, head over to our Bland Dashboard.

Installation

You can create a web widget via the API, or through the dashboard. Once you’ve created your widget, you should have an ID which you can pass into the following code snippet:
Once you’ve added this code snippet to the <head> of your website, you should see the chat widget load. You can customize the widgets appearance via the config property, or by using our visual editor on the platform. Here is a quick video tutorial of how to create and configure a new web widget on the platform: Passing Additional Data (Optional) You can pass custom data to your widget at initialization using the request_data setting. This is useful for personalizing conversations with user information:
Now this information will be available to your agent as variables.

Advanced: Custom Components

When using pathways in your widget, you can create custom components that display at specific points in the conversation. These components are embedded as iframes within the widget window.

Passing data to custom components

You can send agent variables to your custom components to personalize the user experience. These variables are passed as query parameters to your iframe URL. Setting up variables: Define which variables to pass in one of two ways: Accessing variables in your component: The variables are automatically appended as query parameters to your component’s URL. You can access these variables using standard JavaScript:

Creating Interactive Custom Components

Your custom component can send messages back to the widget using window events. Example: Creating a button that sends a message
Note: All messages must be prefixed with widget-message:. The text after this prefix becomes the user message content. For example, an event widget-message:Hello World! will create a user message with the content “Hello World!”. widget-message:Option A selected will create a user message with the content “Option A selected”.

Widget Bland Settings Options

The chat widget can be customized using the following configuration options:

Escalate to Live Agents

This feature only works on pathways.
Connect your Bland widget to any live agent platform (Zendesk, Intercom, Freshdesk, or your own custom solution) via webhooks. When the AI determines a human is needed, it seamlessly hands off the conversation with full context.

Setup

1

Configure the Pathway Transfer Node

In your pathway, add a Pathway Transfer Node and select Live Agent Transfer as the transfer type. Enter the webhook URL where Bland should send conversation data.
2

Enable Webhook Signing

Webhook signing is required for this integration. Bland signs all webhook payloads with HMAC, sent via the X-Bland-Signature header. Use your signing secret to verify requests originate from Bland and haven’t been tampered with.See Webhook Signing for implementation details.
3

Handle Incoming Webhooks

Your endpoint will receive two types of payloads from Bland: the initial conversation handoff, and subsequent user messages.
4

Send Messages Back to the User

Use the Send Live Agent Message endpoint to send responses from your live agent to the user. When the conversation is complete, send an END_CONVERSATION payload to close the session.

Webhook Payloads

INITIAL_CONVERSATION

Sent when the transfer is triggered. Contains the full conversation history and all agent variables.

MESSAGE

Sent for each message the user sends after the initial handoff.

Post-Conversation Webhooks

Receive a webhook notification when a widget conversation ends. This is useful for logging conversations, triggering follow-up workflows, or syncing conversation data to your CRM. Post-conversation webhooks are signed using HMAC. The signature is included in the X-Webhook-Signature header. See Webhook Signing for verification details.

Configuration

Configure post-conversation webhooks in two ways:
  • Dashboard: Set the webhook URL in your widget settings on the platform
  • API: Pass webhook_url when creating or updating your widget
By default, a conversation times out after 24 hours of user inactivity. You can customize this via the dashboard or using config.timeoutSeconds:

Webhook Payload

When a conversation ends, Bland sends a POST request to your configured webhook URL with the following payload:

Docs for agents: llms.txt