Updating Participant Attributes in Genesys Cloud During a Live Call

What You Will Build

• This tutorial builds a service that reads custom participant attributes from an external database and writes them back to a live Genesys Cloud voice conversation in real time.
• The solution uses the Genesys Cloud Platform API v2, specifically the Conversations and Users endpoints.
• The implementation is written in Python using the genesyscloud SDK and httpx for external API calls.

Prerequisites

• OAuth Client: A Genesys Cloud OAuth client with private_key or jwt flow capability.
• Required Scopes:
  • conversation:view (to read conversation details)
  • conversation:participant:modify (to update participant attributes)
  • user:read (to resolve user IDs if necessary)
• SDK Version: genesyscloud Python SDK version 133.0.0 or later.
• Runtime: Python 3.9+.
• Dependencies:
  • genesyscloud
  • httpx (for simulating external system calls)
  • pydantic (for data validation)

Authentication Setup

Genesys Cloud uses JWT-based OAuth 2.0 for server-to-server integrations. You must initialize the PureCloudPlatformClientV2 with your private key before making any API calls.

import os
from purecloudplatformclientv2 import PureCloudPlatformClientV2, ApiClient
from purecloudplatformclientv2.rest import ApiException

def init_genesys_client():
    """
    Initializes the Genesys Cloud Platform Client.
    Assumes environment variables are set:
    - GENESYS_PRIVATE_KEY_PATH
    - GENESYS_CLIENT_ID
    """
    # The SDK handles token caching and automatic refresh internally
    platform_client = PureCloudPlatformClientV2()
    
    # Load private key from file
    with open(os.getenv("GENESYS_PRIVATE_KEY_PATH"), "r") as key_file:
        private_key = key_file.read()
        
    # Configure the client
    platform_client.set_private_key(
        private_key=private_key,
        client_id=os.getenv("GENESYS_CLIENT_ID")
    )
    
    return platform_client

# Initialize once at startup
platform_client = init_genesys_client()

Note on Token Refresh: The PureCloudPlatformClientV2 manages the OAuth token lifecycle. It automatically requests a new access token when the current one expires. You do not need to implement manual refresh logic unless you are using raw HTTP requests.

Implementation

Step 1: Identify the Conversation and Participant

To update attributes, you need the conversationId and the specific participantId. These are typically provided via a webhook payload when an event occurs (e.g., conversation-participant-added), but in this example, we will simulate fetching a live conversation by ID.

We use the GetConversation endpoint to retrieve the current state of the call.

Endpoint: GET /api/v2/conversations/voice/{conversationId}
Scope: conversation:view

from purecloudplatformclientv2 import ConversationApi
from purecloudplatformclientv2.model import Participant

def get_active_participants(conversation_id: str) -> list[Participant]:
    """
    Fetches the list of participants for a specific voice conversation.
    
    Args:
        conversation_id (str): The ID of the Genesys Cloud conversation.
        
    Returns:
        list[Participant]: List of participant objects.
        
    Raises:
        ApiException: If the conversation is not found or access is denied.
    """
    api_instance = ConversationApi()
    
    try:
        # Get the full conversation entity
        response = api_instance.get_conversation(
            conversation_id=conversation_id,
            expand=["participants"] # Crucial: must expand participants to get IDs
        )
        
        if response.participants is None:
            return []
            
        return response.participants
        
    except ApiException as e:
        if e.status == 404:
            print(f"Conversation {conversation_id} not found.")
        elif e.status == 401 or e.status == 403:
            print("Authentication or Authorization failed. Check OAuth scopes.")
        else:
            print(f"API Error: {e.reason}")
        raise

Step 2: Read Attributes from External System

Assume you have an external CRM or database that holds custom data for the caller. This data needs to be fetched based on a unique identifier, such as the caller’s phone number or email. In Genesys Cloud, participant attributes are often used to store this external ID.

For this tutorial, we assume the external system is a REST API. We will use httpx to fetch the data.

import httpx

def fetch_external_attributes(caller_id: str) -> dict:
    """
    Simulates fetching data from an external CRM/Database.
    
    Args:
        caller_id (str): The unique identifier of the caller (e.g., phone number).
        
    Returns:
        dict: A dictionary of attributes to set.
    """
    external_api_url = f"https://api.external-crm.com/v1/customers/{caller_id}"
    
    headers = {
        "Authorization": "Bearer YOUR_EXTERNAL_API_TOKEN",
        "Content-Type": "application/json"
    }
    
    try:
        with httpx.Client(timeout=5.0) as client:
            response = client.get(external_api_url, headers=headers)
            response.raise_for_status()
            
            data = response.json()
            
            # Map external fields to Genesys attribute keys
            # Genesys attributes must be string key-value pairs
            return {
                "crm.customerId": data.get("id", ""),
                "crm.tier": data.get("membership_tier", "standard"),
                "crm.lastInteraction": data.get("last_call_date", ""),
                "crm.preferences": str(data.get("preferences", {})) # JSON stringify complex objects
            }
            
    except httpx.HTTPStatusError as e:
        print(f"External API Error: {e.response.status_code}")
        return {}
    except Exception as e:
        print(f"Unexpected error fetching external data: {e}")
        return {}

Step 3: Update Participant Attributes

The core operation is updating the participant. In Genesys Cloud, participant attributes are mutable during a live conversation. You use the UpdateConversationParticipant endpoint.

Endpoint: PATCH /api/v2/conversations/voice/{conversationId}/participants/{participantId}
Scope: conversation:participant:modify

Critical Constraint: The attributes field in the request body replaces all existing attributes. You must fetch the current attributes, merge them with new data, and send the complete set. If you send only the new attributes, all previous custom attributes will be deleted.

from purecloudplatformclientv2 import ConversationApi
from purecloudplatformclientv2.model import ConversationParticipantUpdateRequest
from purecloudplatformclientv2.rest import ApiException

def update_participant_attributes(
    conversation_id: str, 
    participant_id: str, 
    new_attributes: dict
) -> bool:
    """
    Merges new attributes with existing ones and updates the participant.
    
    Args:
        conversation_id (str): The conversation ID.
        participant_id (str): The specific participant ID to update.
        new_attributes (dict): The new key-value pairs to add or update.
        
    Returns:
        bool: True if update was successful.
    """
    api_instance = ConversationApi()
    
    # 1. Fetch current participant to preserve existing attributes
    # Note: In a high-throughput system, you might cache this or get it from the webhook payload
    try:
        current_participant = api_instance.get_conversation_participant(
            conversation_id=conversation_id,
            participant_id=participant_id
        )
    except ApiException as e:
        print(f"Failed to fetch participant: {e.reason}")
        return False

    # 2. Merge attributes
    existing_attributes = current_participant.attributes if current_participant.attributes else {}
    
    # Deep merge not required for flat key-value pairs, but ensure we don't overwrite 
    # system attributes if they exist (though usually we only touch custom keys)
    merged_attributes = {**existing_attributes, **new_attributes}
    
    # 3. Prepare the update request
    update_request = ConversationParticipantUpdateRequest(
        attributes=merged_attributes
        # Note: You can also update 'wrapupcode', 'state', etc., but here we focus on attributes
    )
    
    # 4. Execute the update
    try:
        api_instance.update_conversation_participant(
            conversation_id=conversation_id,
            participant_id=participant_id,
            body=update_request
        )
        print(f"Successfully updated attributes for participant {participant_id}")
        return True
        
    except ApiException as e:
        if e.status == 409:
            print("Conflict: Another update may have occurred since you fetched the participant.")
            # In production, implement retry logic with exponential backoff here
        elif e.status == 429:
            print("Rate Limited. Implement backoff.")
        else:
            print(f"Update failed: {e.reason}")
        return False

Step 4: Orchestrating the Flow

Combine the steps into a single function that handles a live call event. This function identifies the external caller, fetches their data, and pushes it into Genesys Cloud.

def sync_external_data_to_live_call(conversation_id: str, participant_id: str, external_id: str):
    """
    Main orchestration function.
    
    Args:
        conversation_id (str): Genesys Conversation ID.
        participant_id (str): Genesys Participant ID.
        external_id (str): The ID to look up in the external system.
    """
    print(f"Starting sync for Conversation {conversation_id}, Participant {participant_id}")
    
    # 1. Fetch data from external system
    external_data = fetch_external_attributes(external_id)
    
    if not external_data:
        print("No external data found or fetch failed. Aborting update.")
        return
    
    # 2. Update Genesys Participant
    success = update_participant_attributes(
        conversation_id=conversation_id,
        participant_id=participant_id,
        new_attributes=external_data
    )
    
    if success:
        print("Sync completed successfully.")
    else:
        print("Sync failed.")

Complete Working Example

Below is a complete, runnable script. It mocks the external API response for demonstration purposes so you can run it without an actual CRM endpoint. Replace the MOCK_EXTERNAL_DATA with your actual httpx call in production.

import os
import time
from purecloudplatformclientv2 import PureCloudPlatformClientV2, ConversationApi
from purecloudplatformclientv2.model import ConversationParticipantUpdateRequest
from purecloudplatformclientv2.rest import ApiException

# Mock external data for testing
MOCK_EXTERNAL_DATA = {
    "crm.customerId": "CUST-998877",
    "crm.tier": "platinum",
    "crm.lastInteraction": "2023-10-01T12:00:00Z"
}

def init_client():
    """Initializes the Genesys Cloud Platform Client."""
    platform_client = PureCloudPlatformClientV2()
    
    # Ensure these env vars are set in your environment
    private_key_path = os.getenv("GENESYS_PRIVATE_KEY_PATH")
    client_id = os.getenv("GENESYS_CLIENT_ID")
    
    if not private_key_path or not client_id:
        raise EnvironmentError("GENESYS_PRIVATE_KEY_PATH and GENESYS_CLIENT_ID must be set.")
        
    with open(private_key_path, "r") as key_file:
        private_key = key_file.read()
        
    platform_client.set_private_key(
        private_key=private_key,
        client_id=client_id
    )
    
    return platform_client

def fetch_external_data(external_id: str) -> dict:
    """
    In production, replace this with an actual HTTP call to your external system.
    """
    print(f"Fetching data for external ID: {external_id}")
    # Simulate network delay
    time.sleep(0.5) 
    return MOCK_EXTERNAL_DATA

def update_participant(conversation_id: str, participant_id: str, new_attrs: dict) -> bool:
    """
    Fetches current participant, merges attributes, and updates.
    """
    api_instance = ConversationApi()
    
    try:
        # Step 1: Get current participant to preserve existing attributes
        current_participant = api_instance.get_conversation_participant(
            conversation_id=conversation_id,
            participant_id=participant_id
        )
    except ApiException as e:
        print(f"Error fetching participant: {e.reason}")
        return False

    # Step 2: Merge attributes
    existing_attrs = current_participant.attributes or {}
    merged_attrs = {**existing_attrs, **new_attrs}
    
    # Step 3: Update
    update_request = ConversationParticipantUpdateRequest(attributes=merged_attrs)
    
    try:
        api_instance.update_conversation_participant(
            conversation_id=conversation_id,
            participant_id=participant_id,
            body=update_request
        )
        return True
    except ApiException as e:
        if e.status == 409:
            print("Conflict detected (409). Another update may have occurred. Retry recommended.")
            # Simple retry logic for demonstration
            return update_participant(conversation_id, participant_id, new_attrs)
        else:
            print(f"Update failed: {e.reason}")
            return False

def main():
    # Configuration
    CONVERSATION_ID = os.getenv("TEST_CONVERSATION_ID")
    PARTICIPANT_ID = os.getenv("TEST_PARTICIPANT_ID")
    EXTERNAL_ID = "CUST-998877" # Example ID
    
    if not CONVERSATION_ID or not PARTICIPANT_ID:
        print("Set TEST_CONVERSATION_ID and TEST_PARTICIPANT_ID environment variables.")
        return

    print(f"Initializing Genesys Client...")
    platform_client = init_client()
    
    print(f"Fetching external data...")
    external_data = fetch_external_data(EXTERNAL_ID)
    
    print(f"Updating participant attributes...")
    success = update_participant(CONVERSATION_ID, PARTICIPANT_ID, external_data)
    
    if success:
        print("Operation completed successfully.")
    else:
        print("Operation failed.")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 409 Conflict

Cause: The update_conversation_participant endpoint uses optimistic locking. If the participant’s version number has changed since you fetched the participant in Step 1, the update fails with a 409. This happens if another system (or another thread of your application) updated the participant between your GET and PATCH calls.

Fix: Implement retry logic. Fetch the participant again, merge the new attributes with the latest existing attributes, and retry the update.

# Inside the exception handler for 409
if e.status == 409:
    print("Conflict: Retrying...")
    return update_participant(conversation_id, participant_id, new_attrs)

Error: 403 Forbidden

Cause: The OAuth client lacks the conversation:participant:modify scope.

Fix: Log in to the Genesys Cloud Admin portal, navigate to Apps and Integrations, select your OAuth client, and add the conversation:participant:modify scope. Save and re-initialize your application to get a new token.

Error: Attributes Overwritten

Cause: You sent a ConversationParticipantUpdateRequest with only the new attributes, without fetching and merging the existing ones.

Fix: Always perform a GET on the participant before the PATCH. Extract the attributes dictionary, merge your new keys into it, and send the full dictionary back.

Error: 429 Too Many Requests

Cause: You are updating attributes too frequently or for too many conversations simultaneously. Genesys Cloud enforces rate limits per client ID.

Fix: Implement exponential backoff. If a 429 is received, wait for Retry-After seconds (if present in the header) or use a standard backoff algorithm (e.g., 1s, 2s, 4s) before retrying.

Official References

• Genesys Cloud Conversation API Documentation
• Conversation Participant Update Request Model
• OAuth Scopes Reference