OpenDialog Docs
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  • GETTING STARTED
    • Introduction
    • Getting ready
    • Billing and plans
    • Quick Start AI Agents
      • Quick Start AI Agent
      • The "Start from Scratch" AI Agent
        • Chat Management Conversation
        • Welcome Conversation
        • Topic Conversation
        • Global No Match Conversation
        • Supporting LLM Actions
        • Semantic Classifier: Query Classifier
      • A Process Handling AI Agent
  • STEP BY STEP GUIDES
    • AI Agent Creation Overview
    • Add a new topic of discussion
    • Use knowledge sources via RAG
    • Adding a structured conversation
    • Add a 3rd party integration
    • Test and tweak your AI Agent
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  • CORE CONCEPTS
    • OpenDialog Approach
      • Designing Conversational AI Agents
    • OpenDialog Platform
      • Scenarios
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        • Turns and intents
      • Language Services
      • OpenDialog Account Management
        • Creating and managing users
        • Deleting OpenDialog account
        • Account Security
    • OpenDialog Conversation Engine
    • Contexts and attributes
      • Contexts
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      • Conditions and operators
      • Composite Attributes
  • CREATE AI APPLICATIONS
    • Designing your application
      • Conversation Design
        • Conversational Patterns
          • Introduction to conversational patterns
          • Building robust assistants
            • Contextual help
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            • End chat
            • Contextual and Global No Match
            • Contextual FAQ
          • Openings
            • Anatomy of an opening
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            • Components
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            • Using in OpenDialog
          • Information collection
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            • Example dialog
            • Using in OpenDialog
            • Additional information
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            • Example dialog
            • Additional information
          • Extended telling
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            • Example dialog
            • Additional information
          • Repair
            • Types of repair
            • User request not understood
            • Example dialog
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          • Transfer
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            • Example dialog
            • Additional information
          • Closing
            • Components
            • Example dialog
            • Using in OpenDialog
            • Additional information
        • Best practices
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            • Outcome: user profile
          • Assistant personality
          • Sample dialogs
          • Conversation structure
          • API Integration Capabilities
          • NLU modeling
          • Testing strategy
          • The team
            • What does a conversation designer do
          • Select resources
      • Message Design
        • Message editor
        • Constructing Messages
        • Message Conditions
        • Messages best practices
        • Subsequent Messages - Virtual Intents
        • Using Attributes in Messages
        • Using Markdown in messages
        • Message Types
          • Text Message
          • Image Message
          • Button Message
          • Date Picker Message
          • Audio Message
          • Form Message
          • Full Page Message
          • Conversation Handover message
          • Autocomplete Message
          • Address Autocomplete Message
          • List Message
          • Rich Message
          • Location Message
          • E-Sign Message
          • File Upload Message
          • Meta Messages
            • Progress Bar Message
          • Attribute Message
      • Webchat Interface design
        • Webchat Interface Settings
        • Webchat Controls
      • Accessibility
      • Inclusive design
    • Leveraging Generative AI
      • Language Services
        • Semantic Intent Classifier
          • OpenAI
          • Azure
          • Google Gemini
          • Output attributes
        • Retrieval Augmented Generation
        • Example-based intent classification [Deprecated]
      • Interpreters
        • Available interpreters
          • OpenDialog interpreter
          • Amazon Lex interpreter
          • Google Dialogflow
            • Google Dialogflow interpreter
            • Google Dialogflow Knowledge Base
          • OpenAI interpreter
        • Using a language service interpreter
        • Interpreter Orchestration
        • Troubleshooting interpreters
      • LLM Actions
        • OpenAI
        • Azure OpenAI
        • Output attributes
        • Using conversation history (memory) in LLM actions
        • LLM Action Analytics
    • 3rd party Integrations in your application
      • Webhook actions
      • Actions from library
        • Freshdesk Action
        • Send to Email Action
        • Set Attributes Action
      • Conversation Hand-off
        • Chatwoot
    • Previewing your application
    • Launching your application
    • Monitoring your application
    • Debugging your application
    • Translating your application
    • FAQ
    • Troubleshooting and Common Problems
  • Developing With OpenDialog
    • Integrating with OpenDialog
    • Actions
      • Webhook actions
      • LLM actions
    • WebChat
      • Chat API
      • WebChat authentication
      • User Tracking
      • Load Webchat within page Element
      • How to enable JavaScript in your browser
      • SDK
        • Methods
        • Events
        • Custom Components
    • External APIs
  • Release Notes
    • Version 3 Upgrade Guide
    • Release Notes
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On this page
  • Introduction
  • Interaction API
  • Webchat Short URL API
  • Bearer Token
  1. Developing With OpenDialog

External APIs

Introduction

This page explains how to interact with OpenDialog via external APIs. It covers exporting user interaction data using user_id and generating customised webchat short URLs in bulk.

Interaction API

The Interaction API makes it possible to retrieve information about interactions between the user and OpenDialog scenarios. The data is requested for over a time period (from , to) and is split by user_id. Example structure can be seen below.

{
    "data": [
        {
            "<user_id>": {
                "chatbot_user_data": {
                    "first_name": "",
                    "last_name": "",
                    "custom": {
                        "selected_scenario": "<scenario_id>"
                    }
                },
                "from": "2022-09-21T00:00:00.000000Z",
                "to": "2022-09-22T23:59:59.000000Z",
                "interactions": [
                    {
                        "type": "<>",
                        "date": "2022-09-21T08:19:33.000000Z",
                        "text": "",
                        "data": {
                            "value": "<>",
                            "callback_id": "<>"
                        }
                    },
                    {
                        "type": "<>",
                        "date": "2022-09-21T08:19:33.000000Z",
                        "text": "",
                        "data": {
                            "value": "<>",
                            "callback_id": "<>"
                        }
                    }
                ]
            }
        }
    ]
}

Webchat Short URL API

The Short URL API makes it possible to generate personalised webchat URLs with pre-filled user attributes by hitting the api/generate-webchat-deeplink endpoint. This enables a tailored experience from the moment a user interacts with OpenDialog.

To generate a short URL, provide a scenarioId or scenarioAlias, along with a dataset containing user attributes. If a userId is not specified, one will be automatically generated. Example structure can be seen below:

{
  "scenario_id": "<scenarioId>",
  "dataset": [{
    "user_id": "abc123",
    "attributes": {
      "first_name": "John",
      "last_name": "Smith",
      "email": "john.smith@opendialog.ai",
     }
   }, {
    "user_id": "123",
    "attributes": {
      "first_name": "First name",
      "last_name": "Last name",
      "PolicyHolders": "Ben Smith, Joe Bloggs, John Smith",
      "email": "first.last@opendialog.ai",
    }
  }]
}

Each request returns a set of unique short URLs that pre-load the specified attributes into the conversation.

Bearer Token

To access the API you will need a bearer token associated with a user account in the OpenDialog Tenant you want to extract data from.

To access your bearer token visit the Identity & Security page - accessible by clicking on your username in the bottom left-hand corner.

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Last updated 2 months ago

Please see our of the API for further information.

For detailed request and response specifications, see our

Postman documentation
Postman API documentation.
API Bearer Token Access