Accessing Web Messaging Participant Attributes in Genesys Cloud Architect Flows

What You Will Build

• You will build a Python script that programmatically injects custom participant attributes into a Web Messaging session and validates their presence in the conversation transcript.
• You will utilize the Genesys Cloud Platform API (v2) for conversation management and the Architect API for flow logic verification.
• You will use Python with the requests library to demonstrate the raw HTTP mechanics of attribute injection, which mirrors the behavior expected in Architect data actions.

Prerequisites

• OAuth Client Type: Client Credentials or Resource Owner Password flow.
• Required Scopes:
  • conversation:read (to retrieve conversation details)
  • conversation:write (to update participant attributes, if using direct API updates)
  • architect:flow:read (to inspect flow definitions)
• SDK/API Version: Genesys Cloud API v2.
• Language/Runtime: Python 3.8+.
• Dependencies: requests, python-dotenv (for secure credential management).

Authentication Setup

Before accessing any conversation data or modifying attributes, you must obtain a valid OAuth 2.0 access token. Genesys Cloud uses a standard bearer token flow. The following code demonstrates how to acquire and cache this token.

import requests
import json
import time
from typing import Optional

class GenesysAuth:
    def __init__(self, environment: str, client_id: str, client_secret: str, username: str, password: str):
        self.environment = environment
        self.client_id = client_id
        self.client_secret = client_secret
        self.username = username
        self.password = password
        self.token_url = f"https://{environment}.mypurecloud.com/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: float = 0

    def get_headers(self) -> dict:
        if not self.access_token or time.time() >= self.token_expiry:
            self.refresh_token()
        return {
            "Authorization": f"Bearer {self.access_token}",
            "Content-Type": "application/json"
        }

    def refresh_token(self) -> None:
        """
        Acquires a new OAuth token using Resource Owner Password flow.
        For production bots/integrations, Client Credentials is preferred.
        """
        payload = {
            "grant_type": "password",
            "username": self.username,
            "password": self.password,
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        
        response = requests.post(self.token_url, data=payload)
        
        if response.status_code != 200:
            raise Exception(f"Auth failed: {response.status_code} - {response.text}")
        
        data = response.json()
        self.access_token = data["access_token"]
        # Expire 60 seconds early to avoid edge-case 401s
        self.token_expiry = time.time() + (data["expires_in"] - 60)
        print("OAuth token refreshed successfully.")

# Usage Example (Initialize with your credentials)
# auth = GenesysAuth(
#     environment="us-east-1",
#     client_id="your_client_id",
#     client_secret="your_client_secret",
#     username="your_api_user@example.com",
#     password="your_api_password"
# )

Implementation

Step 1: Understanding the Data Flow Architecture

In Genesys Cloud Web Messaging, participant attributes are not static. They exist on the Participant object within a Conversation. When a user initiates a chat, the Web Messaging widget sends initial attributes (like name, email, or custom JSON payloads) via the POST /api/v2/conversations/messages endpoint.

Architect Inbound Message flows access these attributes through the Data node or Set Data node. However, to debug or automate this process, you must understand where these attributes live in the API response.

The critical distinction is between:

1. System Attributes: Internal metadata (e.g., channel, direction).
2. Custom Attributes: Key-value pairs defined by the client application or injected via API.

To access these in Architect, the flow expects the attribute key to exist in the attributes map of the participant object associated with the conversation leg.

Step 2: Injecting Attributes via API (Simulating Client Behavior)

To prove that attributes are accessible in Architect, we must first inject them. In a real Web Messaging scenario, the browser SDK handles this. For integration testing or backend orchestration, you can inject attributes directly.

We will create a new conversation and immediately update the participant attributes.

import uuid
from datetime import datetime, timezone

def create_test_conversation(auth: GenesysAuth) -> str:
    """
    Creates a new inbound message conversation and returns the conversation ID.
    """
    base_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations"
    headers = auth.get_headers()
    
    # Define a realistic Web Messaging conversation payload
    payload = {
        "type": "message",
        "to": [
            {
                "id": "your_queue_id_here", # Replace with a valid Queue ID
                "type": "queue"
            }
        ],
        "from": {
            "id": "test_user_" + str(uuid.uuid4())[:8],
            "type": "user",
            "name": "Test User",
            "email": "test@example.com",
            # These are the initial attributes sent by the Web Widget
            "attributes": {
                "custom_order_id": "ORD-998877",
                "user_tier": "platinum",
                "referral_source": "google_ads"
            }
        },
        "wrapupCode": "No wrapup code",
        "startTimestamp": datetime.now(timezone.utc).isoformat(),
        "endTimestamp": None,
        "mediaType": "message",
        "state": "open",
        "participants": [
            {
                "id": "test_user_" + str(uuid.uuid4())[:8],
                "type": "user",
                "role": "customer",
                "state": "connected",
                "startTimestamp": datetime.now(timezone.utc).isoformat(),
                "endTimestamp": None,
                # Duplicate attributes here ensure they are bound to the participant leg
                "attributes": {
                    "custom_order_id": "ORD-998877",
                    "user_tier": "platinum",
                    "referral_source": "google_ads"
                }
            }
        ]
    }

    response = requests.post(base_url, json=payload, headers=headers)
    
    if response.status_code == 201:
        conv_data = response.json()
        print(f"Conversation created: {conv_data['id']}")
        return conv_data["id"]
    else:
        raise Exception(f"Failed to create conversation: {response.status_code} - {response.text}")

def update_participant_attributes(auth: GenesysAuth, conversation_id: str, participant_id: str, new_attributes: dict) -> None:
    """
    Updates specific attributes for a participant in an existing conversation.
    This mimics what happens when a user types in a field that triggers an attribute update.
    """
    base_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations/{conversation_id}/participants/{participant_id}"
    headers = auth.get_headers()
    
    # First, get the current participant state to avoid overwriting system fields
    get_response = requests.get(base_url, headers=headers)
    if get_response.status_code != 200:
        raise Exception(f"Could not fetch participant: {get_response.status_code}")
    
    current_participant = get_response.json()
    
    # Merge new attributes into existing ones
    existing_attrs = current_participant.get("attributes", {})
    merged_attrs = {**existing_attrs, **new_attributes}
    
    # Prepare the patch payload
    payload = {
        "attributes": merged_attrs,
        "state": current_participant.get("state", "connected")
    }
    
    # Use PATCH to update only specific fields
    patch_response = requests.patch(base_url, json=payload, headers=headers)
    
    if patch_response.status_code == 200:
        print(f"Attributes updated for participant {participant_id}")
    else:
        raise Exception(f"Failed to update attributes: {patch_response.status_code} - {patch_response.text}")

Step 3: Verifying Attribute Persistence for Architect

Architect flows read the conversation state at runtime. To verify that your attributes are visible to the Architect engine, you must query the conversation details and inspect the participant object.

In Architect, you access these values using the expression:
conversation.participants.customer.attributes.custom_order_id

The following code retrieves the conversation and validates that the attributes are present and correctly typed.

def verify_architect_visibility(auth: GenesysAuth, conversation_id: str) -> dict:
    """
    Retrieves the full conversation object and extracts participant attributes.
    This output mirrors what is available to the Architect Data node.
    """
    base_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations/{conversation_id}"
    headers = auth.get_headers()
    
    response = requests.get(base_url, headers=headers)
    
    if response.status_code != 200:
        raise Exception(f"Failed to retrieve conversation: {response.status_code} - {response.text}")
    
    conversation = response.json()
    
    # Find the customer participant
    customer_participant = None
    for p in conversation.get("participants", []):
        if p.get("role") == "customer":
            customer_participant = p
            break
            
    if not customer_participant:
        raise Exception("No customer participant found in conversation.")
    
    attributes = customer_participant.get("attributes", {})
    
    print("\n--- Participant Attributes Available to Architect ---")
    for key, value in attributes.items():
        print(f"Key: {key} | Value: {value} | Type: {type(value).__name__}")
        print("-" * 40)
        
    return attributes

Complete Working Example

The following script combines authentication, creation, injection, and verification. It demonstrates the end-to-end lifecycle of a Web Messaging attribute from API injection to visibility confirmation.

import requests
import json
import time
import uuid
from datetime import datetime, timezone
from typing import Optional

# --- Configuration ---
# Replace these values with your Genesys Cloud tenant details
ENVIRONMENT = "us-east-1"
CLIENT_ID = "your_client_id"
CLIENT_SECRET = "your_client_secret"
USERNAME = "your_api_user@example.com"
PASSWORD = "your_api_password"
QUEUE_ID = "your_queue_id" # Required for creating the conversation

# --- Authentication Class ---
class GenesysAuth:
    def __init__(self, environment: str, client_id: str, client_secret: str, username: str, password: str):
        self.environment = environment
        self.client_id = client_id
        self.client_secret = client_secret
        self.username = username
        self.password = password
        self.token_url = f"https://{environment}.mypurecloud.com/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: float = 0

    def get_headers(self) -> dict:
        if not self.access_token or time.time() >= self.token_expiry:
            self.refresh_token()
        return {
            "Authorization": f"Bearer {self.access_token}",
            "Content-Type": "application/json"
        }

    def refresh_token(self) -> None:
        payload = {
            "grant_type": "password",
            "username": self.username,
            "password": self.password,
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        response = requests.post(self.token_url, data=payload)
        if response.status_code != 200:
            raise Exception(f"Auth failed: {response.status_code} - {response.text}")
        data = response.json()
        self.access_token = data["access_token"]
        self.token_expiry = time.time() + (data["expires_in"] - 60)

# --- Core Functions ---

def create_conversation_with_attrs(auth: GenesysAuth, queue_id: str, custom_attrs: dict) -> tuple:
    """Creates a conversation and returns (conversation_id, participant_id)"""
    base_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations"
    headers = auth.get_headers()
    
    user_id = f"test_user_{uuid.uuid4().hex[:8]}"
    
    payload = {
        "type": "message",
        "to": [{"id": queue_id, "type": "queue"}],
        "from": {
            "id": user_id,
            "type": "user",
            "name": "Integration Tester",
            "email": "tester@example.com",
            "attributes": custom_attrs
        },
        "wrapupCode": "No wrapup code",
        "startTimestamp": datetime.now(timezone.utc).isoformat(),
        "endTimestamp": None,
        "mediaType": "message",
        "state": "open",
        "participants": [
            {
                "id": user_id,
                "type": "user",
                "role": "customer",
                "state": "connected",
                "startTimestamp": datetime.now(timezone.utc).isoformat(),
                "endTimestamp": None,
                "attributes": custom_attrs
            }
        ]
    }
    
    response = requests.post(base_url, json=payload, headers=headers)
    if response.status_code != 201:
        raise Exception(f"Create failed: {response.text}")
        
    conv = response.json()
    participant_id = conv["participants"][0]["id"]
    return conv["id"], participant_id

def update_attrs(auth: GenesysAuth, conv_id: str, part_id: str, new_attrs: dict) -> None:
    """Patches participant attributes"""
    base_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations/{conv_id}/participants/{part_id}"
    headers = auth.get_headers()
    
    # Fetch current state
    res = requests.get(base_url, headers=headers)
    if res.status_code != 200:
        raise Exception(f"Fetch failed: {res.text}")
        
    current = res.json()
    existing = current.get("attributes", {})
    merged = {**existing, **new_attrs}
    
    payload = {"attributes": merged, "state": current.get("state", "connected")}
    
    res = requests.patch(base_url, json=payload, headers=headers)
    if res.status_code != 200:
        raise Exception(f"Update failed: {res.text}")

def verify_attrs(auth: GenesysAuth, conv_id: str) -> dict:
    """Returns the customer participant's attributes"""
    base_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations/{conv_id}"
    headers = auth.get_headers()
    
    res = requests.get(base_url, headers=headers)
    if res.status_code != 200:
        raise Exception(f"Verify failed: {res.text}")
        
    conv = res.json()
    for p in conv.get("participants", []):
        if p.get("role") == "customer":
            return p.get("attributes", {})
    return {}

# --- Execution ---

if __name__ == "__main__":
    try:
        # 1. Authenticate
        auth = GenesysAuth(ENVIRONMENT, CLIENT_ID, CLIENT_SECRET, USERNAME, PASSWORD)
        
        # 2. Define Initial Attributes
        initial_attrs = {
            "source": "web_widget",
            "browser_language": "en-US",
            "custom_order_id": "ORD-12345"
        }
        
        print("Step 1: Creating Conversation with Initial Attributes...")
        conv_id, part_id = create_conversation_with_attrs(auth, QUEUE_ID, initial_attrs)
        print(f"Created Conversation: {conv_id}")
        
        # 3. Simulate Dynamic Attribute Update (e.g., User fills a form)
        print("\nStep 2: Updating Attributes via API...")
        dynamic_attrs = {
            "form_submitted": True,
            "priority_level": "high",
            "ticket_number": "TKT-99999"
        }
        update_attrs(auth, conv_id, part_id, dynamic_attrs)
        
        # 4. Verify Visibility for Architect
        print("\nStep 3: Verifying Attributes for Architect Flow...")
        final_attrs = verify_attrs(auth, conv_id)
        
        print("\nFinal Attributes Map (Accessible in Architect):")
        for k, v in final_attrs.items():
            print(f"  [{k}] = {v}")
            
        # 5. Cleanup (Optional: Close conversation)
        # In a real scenario, you might want to close the conversation to avoid cluttering your queue
        # close_url = f"https://{auth.environment}.mypurecloud.com/api/v2/conversations/{conv_id}"
        # requests.put(close_url, json={"state": "closed"}, headers=auth.get_headers())

    except Exception as e:
        print(f"Error: {e}")

Common Errors & Debugging

Error: 403 Forbidden on Attribute Update

• Cause: The OAuth token lacks the conversation:write scope, or the API user does not have permission to modify conversations in the specified queue.
• Fix: Verify the client credentials have the conversation:write scope. Ensure the API user is a member of the team with access to the queue.
• Code Check:

  # Ensure scope is present in client configuration
  # Scope: conversation:write
  

Error: Attributes Not Visible in Architect

• Cause: The attributes were set on the from object of the conversation but not propagated to the participant object’s attributes map. Architect reads from the participant leg, not the conversation header.
• Fix: When creating the conversation via API, ensure the participants array includes the attributes map. When updating, use the Participant PATCH endpoint.
• Architect Expression: Ensure you are referencing conversation.participants.customer.attributes.key and not conversation.from.attributes.key.

Error: 429 Too Many Requests

• Cause: Rapid polling of the conversation status or excessive attribute updates.
• Fix: Implement exponential backoff. Genesys Cloud limits are strict per tenant.
• Code Fix:

  import time
  
  def safe_request(func, *args, retries=3):
      for i in range(retries):
          try:
              return func(*args)
          except requests.exceptions.HTTPError as e:
              if e.response.status_code == 429:
                  wait_time = 2 ** i
                  print(f"Rate limited. Waiting {wait_time} seconds...")
                  time.sleep(wait_time)
              else:
                  raise
      raise Exception("Max retries exceeded")
  

Official References

• Genesys Cloud API: Conversations
• Genesys Cloud API: Participants
• Architect Documentation: Data Nodes
• Web Messaging Client SDK Documentation