Accessing Web Messaging Participant Attributes in Genesys Cloud CX Architect Flows

What You Will Build

• You will build a Python script that programmatically creates a Web Messaging widget configuration, injects custom participant attributes, and simulates an inbound message to verify attribute propagation.
• This tutorial uses the Genesys Cloud CX PureCloud Platform Client v2 (Python SDK) and the REST API for Web Messaging and Architecture testing.
• The primary programming language is Python 3.9+, with JSON payloads relevant to the Genesys Cloud API.

Prerequisites

• OAuth Client Type: A Public or Confidential Client with the following scopes:
  • webchat:write (to create/update widget configurations)
  • architect:read (to inspect flow definitions, optional for debugging)
  • analytics:read (to verify conversation data, optional)
• SDK Version: genesys-cloud-purecloud-platform-client >= 160.0.0
• Runtime: Python 3.9 or higher.
• External Dependencies:
  • genesys-cloud-purecloud-platform-client
  • httpx (for raw API calls where SDK coverage is thin, though SDK is preferred)

Authentication Setup

Genesys Cloud uses OAuth 2.0. For programmatic access, use the Client Credentials flow. You must handle token expiration by implementing a refresh mechanism or caching the token for its duration (usually 30-60 minutes).

import os
import httpx
from purecloud_platform_client import Configuration, ApiClient, WebMessagingApi, ArchitectApi

# Configuration
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
ENVIRONMENT = os.getenv("GENESYS_ENVIRONMENT", "https://api.mypurecloud.com")

def get_oauth_token() -> str:
    """
    Retrieves an OAuth2 access token using Client Credentials flow.
    """
    url = f"{ENVIRONMENT}/oauth/token"
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }
    
    # Use httpx for robust connection handling
    with httpx.Client() as client:
        response = client.post(url, data=data)
        response.raise_for_status()
        return response.json()["access_token"]

def get_api_client() -> ApiClient:
    """
    Initializes the PureCloud Platform Client with the OAuth token.
    """
    token = get_oauth_token()
    configuration = Configuration()
    configuration.host = ENVIRONMENT
    configuration.access_token = token
    api_client = ApiClient(configuration)
    return api_client

Implementation

Step 1: Configure the Web Messaging Widget with Custom Attributes

To access participant attributes in Architect, those attributes must be defined in the Web Messaging widget configuration. Genesys Cloud allows you to define custom fields that the client-side JavaScript SDK (genesys-cloud-messaging-sdk) will populate. These fields become part of the participant object in the conversation context.

We will create a widget configuration that includes a custom attribute named customer_tier.

Required Scope: webchat:write

from purecloud_platform_client import WebMessagingApi, WebChatWidgetRequest

def create_web_messaging_widget(api_client: ApiClient) -> str:
    """
    Creates a Web Messaging widget with a custom participant attribute.
    
    Returns:
        str: The ID of the created widget.
    """
    web_messaging_api = WebMessagingApi(api_client)
    
    # Define the custom attribute
    # In the client SDK, this maps to a field that can be set via setAttributes()
    custom_attribute = {
        "name": "customer_tier",
        "type": "string",
        "label": "Customer Tier",
        "description": "Identifies if the user is Gold, Silver, or Bronze"
    }
    
    # Build the widget request payload
    widget_request = WebChatWidgetRequest(
        name="DevTest Web Messaging Widget",
        description="Widget for testing participant attributes in Architect",
        # Note: In a real production setup, you would configure the appearance and behavior.
        # For this test, we focus on the data structure.
        custom_attributes=[custom_attribute]
    )
    
    try:
        response = web_messaging_api.post_webchat_widgets(body=widget_request)
        print(f"Created Widget ID: {response.id}")
        return response.id
    except Exception as e:
        print(f"Error creating widget: {e}")
        raise

Step 2: Simulate an Inbound Message with Attributes

To test how Architect sees these attributes, we need to inject a message into a queue. While the genesys-cloud-messaging-sdk runs in the browser, we can simulate the backend effect by creating a conversation or using the Conversations Messaging API to send a message with custom data.

However, the most accurate way to test Architect logic is to ensure the attributes are attached to the Participant object. In Genesys Cloud, when a web chat session starts, the participant attributes are set on the participant profile.

We will use the Conversations Messaging API to start a conversation and set the participant attributes directly. This mimics what the SDK does when setAttributes() is called.

Required Scope: conversation:messaging:write

from purecloud_platform_client import ConversationsMessagingApi, MessagingParticipantRequest

def start_conversation_with_attributes(api_client: ApiClient, queue_id: str) -> str:
    """
    Starts a messaging conversation and sets custom participant attributes.
    
    Args:
        api_client: The initialized API client.
        queue_id: The ID of the queue to route the message to.
        
    Returns:
        str: The conversation ID.
    """
    conversations_api = ConversationsMessagingApi(api_client)
    
    # Define the participant attributes
    # These must match the keys defined in the Widget Configuration
    participant_attributes = {
        "customer_tier": "Gold",
        "previous_order_count": "5",
        "region": "North America"
    }
    
    # Create the participant request
    participant_request = MessagingParticipantRequest(
        attributes=participant_attributes,
        # You can also set the name and email here
        name="Test User",
        email="test.user@example.com"
    )
    
    try:
        # Start the conversation
        # Note: The 'queueId' parameter routes the message to a specific queue
        response = conversations_api.post_conversations_messaging_conversations_participants(
            body=participant_request,
            queue_id=queue_id
        )
        print(f"Started Conversation ID: {response.id}")
        return response.id
    except Exception as e:
        print(f"Error starting conversation: {e}")
        raise

Step 3: Verify Attribute Propagation in Architect

Now that the conversation exists with attributes, we need to verify that Architect sees them. We cannot directly “peek” into an active Architect flow’s internal state via API, but we can:

1. Check the Conversation Details to confirm attributes are stored.
2. Use the Architect Simulation API to test a flow logic branch based on these attributes.

First, let us confirm the attributes are attached to the conversation participant.

Required Scope: conversation:messaging:read

from purecloud_platform_client import ConversationsMessagingApi

def get_conversation_details(api_client: ApiClient, conversation_id: str) -> dict:
    """
    Retrieves conversation details to verify participant attributes.
    """
    conversations_api = ConversationsMessagingApi(api_client)
    
    try:
        response = conversations_api.get_conversations_messaging_conversations(conversation_id)
        
        # Extract participant attributes
        participants = response.participants
        if participants:
            for participant in participants:
                print(f"Participant ID: {participant.id}")
                print(f"Attributes: {participant.attributes}")
                return participant.attributes
        else:
            print("No participants found in conversation.")
            return {}
    except Exception as e:
        print(f"Error retrieving conversation: {e}")
        raise

Step 4: Simulate Architect Flow Logic

To truly test how Architect handles these attributes, we can use the Architect Simulation API. This allows us to send a simulated event to an Architect flow and see which path it takes.

We will simulate a message event with the participant attributes attached.

Required Scope: architect:write

from purecloud_platform_client import ArchitectApi, FlowSimulationRequest, FlowSimulationInput

def simulate_architect_flow(api_client: ApiClient, flow_id: str, attributes: dict) -> dict:
    """
    Simulates an Architect flow with specific participant attributes.
    
    Args:
        flow_id: The ID of the Architect flow to test.
        attributes: The participant attributes to inject.
        
    Returns:
        dict: The simulation result, including the path taken.
    """
    architect_api = ArchitectApi(api_client)
    
    # Construct the simulation input
    # We simulate a 'message' event from a participant
    simulation_input = FlowSimulationInput(
        event_type="message",
        # Inject the attributes into the simulation context
        data={
            "participant": {
                "attributes": attributes
            },
            "message": {
                "text": "Hello, I need help with my Gold account."
            }
        }
    )
    
    simulation_request = FlowSimulationRequest(
        input=simulation_input
    )
    
    try:
        # Post the simulation to the specific flow
        response = architect_api.post_architect_flows_flow_id_simulate(
            flow_id=flow_id,
            body=simulation_request
        )
        
        print(f"Simulation ID: {response.id}")
        print(f"Status: {response.status}")
        
        # The response contains the 'steps' taken by the flow
        if response.steps:
            for step in response.steps:
                print(f"Step: {step.step_type} - {step.id}")
                # Check if a specific condition was met
                if hasattr(step, 'result') and step.result:
                    print(f"Result: {step.result}")
                    
        return response
    except Exception as e:
        print(f"Error simulating flow: {e}")
        raise

Complete Working Example

This script combines all steps: authentication, widget creation, conversation start, attribute verification, and flow simulation.

import os
import httpx
from purecloud_platform_client import (
    Configuration, ApiClient, WebMessagingApi, ArchitectApi, 
    ConversationsMessagingApi, WebChatWidgetRequest, 
    MessagingParticipantRequest, FlowSimulationRequest, FlowSimulationInput
)

# --- Configuration ---
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
ENVIRONMENT = os.getenv("GENESYS_ENVIRONMENT", "https://api.mypurecloud.com")
QUEUE_ID = os.getenv("GENESYS_QUEUE_ID") # Required for routing
FLOW_ID = os.getenv("GENESYS_FLOW_ID")   # Required for simulation

def get_oauth_token() -> str:
    url = f"{ENVIRONMENT}/oauth/token"
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }
    with httpx.Client() as client:
        response = client.post(url, data=data)
        response.raise_for_status()
        return response.json()["access_token"]

def get_api_client() -> ApiClient:
    token = get_oauth_token()
    configuration = Configuration()
    configuration.host = ENVIRONMENT
    configuration.access_token = token
    return ApiClient(configuration)

def main():
    print("Initializing API Client...")
    api_client = get_api_client()
    
    # Step 1: Create Widget (Optional if widget already exists)
    print("\n--- Step 1: Creating Web Messaging Widget ---")
    web_messaging_api = WebMessagingApi(api_client)
    custom_attr = {"name": "customer_tier", "type": "string", "label": "Customer Tier"}
    widget_req = WebChatWidgetRequest(name="Test Widget", custom_attributes=[custom_attr])
    try:
        widget = web_messaging_api.post_webchat_widgets(body=widget_req)
        print(f"Widget Created: {widget.id}")
    except Exception as e:
        print(f"Widget creation failed (may already exist): {e}")
        # Proceed without creating if it fails due to conflict

    # Step 2: Start Conversation with Attributes
    print("\n--- Step 2: Starting Conversation with Attributes ---")
    if not QUEUE_ID:
        print("ERROR: GENESYS_QUEUE_ID environment variable not set.")
        return
        
    conversations_api = ConversationsMessagingApi(api_client)
    participant_attrs = {"customer_tier": "Gold", "region": "North America"}
    participant_req = MessagingParticipantRequest(
        attributes=participant_attrs,
        name="Test User",
        email="test@example.com"
    )
    
    try:
        conv = conversations_api.post_conversations_messaging_conversations_participants(
            body=participant_req,
            queue_id=QUEUE_ID
        )
        print(f"Conversation Started: {conv.id}")
    except Exception as e:
        print(f"Failed to start conversation: {e}")
        return

    # Step 3: Verify Attributes
    print("\n--- Step 3: Verifying Attributes ---")
    try:
        details = conversations_api.get_conversations_messaging_conversations(conv.id)
        for p in details.participants:
            print(f"Participant Attributes: {p.attributes}")
    except Exception as e:
        print(f"Failed to get details: {e}")

    # Step 4: Simulate Architect Flow
    print("\n--- Step 4: Simulating Architect Flow ---")
    if not FLOW_ID:
        print("ERROR: GENESYS_FLOW_ID environment variable not set.")
        return
        
    architect_api = ArchitectApi(api_client)
    sim_input = FlowSimulationInput(
        event_type="message",
        data={
            "participant": {"attributes": participant_attrs},
            "message": {"text": "Help me."}
        }
    )
    sim_req = FlowSimulationRequest(input=sim_input)
    
    try:
        sim_result = architect_api.post_architect_flows_flow_id_simulate(
            flow_id=FLOW_ID,
            body=sim_req
        )
        print(f"Simulation Status: {sim_result.status}")
        if sim_result.steps:
            for step in sim_result.steps:
                print(f"Step: {step.step_type} ({step.id})")
    except Exception as e:
        print(f"Simulation failed: {e}")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token has expired or was never generated.
• Fix: Ensure get_oauth_token() is called before every API operation, or implement a token cache with TTL (Time-To-Live) of 55 minutes (token expires at 60).
• Code Fix:

  # Check token expiry before API call
  if token_expired():
      token = get_oauth_token()
  

Error: 400 Bad Request - Invalid Attribute Name

• Cause: The attribute name in MessagingParticipantRequest does not match the name field defined in the Web Messaging Widget configuration.
• Fix: Ensure the key in attributes dict matches the name in WebChatWidgetRequest.custom_attributes.
• Debugging: Check the Widget configuration via GET /api/v2/webchat/widgets/{widgetId} to verify the exact attribute name.

Error: 403 Forbidden - Missing Scope

• Cause: The OAuth client does not have the required scopes.
• Fix: Go to the Genesys Cloud Admin Console > Platform > Applications > Clients. Select your client and add webchat:write, conversation:messaging:write, and architect:write scopes.
• Note: Changes to scopes require re-authorization if using authorization code flow, but Client Credentials flow picks them up immediately.

Error: 429 Too Many Requests

• Cause: You have exceeded the rate limit for the API endpoint.
• Fix: Implement exponential backoff in your retry logic.
• Code Fix:

  import time
  import random
  
  def api_call_with_retry(func, *args, max_retries=3, **kwargs):
      for attempt in range(max_retries):
          try:
              return func(*args, **kwargs)
          except Exception as e:
              if "429" in str(e) or "Too Many Requests" in str(e):
                  wait_time = (2 ** attempt) + random.uniform(0, 1)
                  print(f"Rate limited. Waiting {wait_time:.2f} seconds...")
                  time.sleep(wait_time)
              else:
                  raise
      raise Exception("Max retries exceeded")
  

Official References

• Genesys Cloud Web Messaging API Documentation
• Genesys Cloud Conversations Messaging API Documentation
• Genesys Cloud Architect Simulation API Documentation
• PureCloud Platform Client Python SDK