Reading and Writing Participant Attributes from an External System During a Live Voice Call

What You Will Build

• You will build a Python service that retrieves a live voice conversation by external ID and updates the participantAttributes for a specific user.
• You will use the Genesys Cloud CX REST API v2 for Conversations and the official Python SDK.
• You will cover the asynchronous nature of attribute propagation and the strict validation rules for attribute key-value pairs.

Prerequisites

• OAuth Client Type: Confidential Client (Client Credentials Grant).
• Required Scopes:
  • conversation:view (to read conversation details)
  • conversation:participant:write (to update participant attributes)
  • user:view (optional, if resolving user IDs from names)
• SDK Version: genesyscloud Python SDK version 139.0.0 or higher.
• Language/Runtime: Python 3.8+
• External Dependencies:
  • genesyscloud
  • requests (for manual HTTP examples if SDK fails)
  • python-dotenv (for secure credential management)

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials flow for server-to-server integrations. The SDK handles token caching and refresh automatically, but you must initialize the client correctly.

import os
from dotenv import load_dotenv
from purecloud_platform_client import (
    Configuration,
    PureCloudPlatformClientV2,
    ApiClient,
    ConversationsApi
)

# Load environment variables
load_dotenv()

def get_platform_client() -> PureCloudPlatformClientV2:
    """
    Initializes and returns a configured PureCloudPlatformClientV2 instance.
    """
    # Environment variables must be set in your .env file
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    base_url = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set")

    # Create configuration object
    config = Configuration(
        client_id=client_id,
        client_secret=client_secret,
        host=base_url
    )

    # Initialize the main client
    # The SDK automatically manages token lifecycle
    client = PureCloudPlatformClientV2(config)
    return client

Note on Scopes: The SDK does not automatically request scopes. You must register your OAuth client in the Genesys Cloud Admin console with the specific scopes listed in the Prerequisites section. If you receive 403 Forbidden, verify the scopes in the Admin UI under Setup > Integrations > OAuth Clients.

Implementation

Step 1: Retrieve the Live Conversation by External ID

To modify a participant, you must first locate the active conversation. The most reliable way to link an external system event (e.g., an order update in an ERP) to a Genesys call is via the externalId field. This field is often populated by the IVR or the WFM integration.

We will use the ConversationsApi to fetch conversation details.

from purecloud_platform_client.rest import ApiException

def get_conversation_by_external_id(client: PureCloudPlatformClientV2, external_id: str) -> dict:
    """
    Fetches a single conversation using its external ID.
    
    Args:
        client: The initialized PureCloudPlatformClientV2
        external_id: The unique identifier from the external system
    
    Returns:
        A dictionary containing the conversation object
    """
    conversations_api = ConversationsApi(client)
    
    # The endpoint is /api/v2/conversations/details/query
    # We filter by externalId and type 'voice'
    try:
        # maxResults=1 because we expect a single active call per external ID
        response = conversations_api.post_conversations_details_query(
            body={
                "queryType": "id",
                "ids": [], # Not used when using externalIds
                "externalIds": [external_id],
                "types": ["voice"],
                "maxResults": 1
            }
        )
        
        # Check if any conversations were found
        if response.items and len(response.items) > 0:
            return response.items[0]
        else:
            raise ValueError(f"No active voice conversation found for external ID: {external_id}")
            
    except ApiException as e:
        if e.status == 401:
            print("Authentication failed. Check token validity.")
        elif e.status == 403:
            print("Forbidden. Check if 'conversation:view' scope is assigned.")
        elif e.status == 429:
            print("Rate limited. Implement exponential backoff.")
        else:
            print(f"API Error {e.status}: {e.body}")
        raise

Why post_conversations_details_query?
The GET /api/v2/conversations endpoint requires a conversation ID. The POST /api/v2/conversations/details/query endpoint allows complex filtering, including searching by externalId. This is the standard pattern for external system integrations where you do not store the Genesys Conversation ID in your local database.

Step 2: Identify the Target Participant

A voice conversation contains multiple participants (e.g., the customer and the agent). You must identify which participant’s attributes to update. Usually, you want to update the agent or the customer.

We will identify the participant by their userId (for agents) or externalContactId (for customers).

def find_participant_in_conversation(conversation: dict, target_user_id: str = None, target_external_contact_id: str = None) -> dict:
    """
    Locates a specific participant within the conversation object.
    
    Args:
        conversation: The conversation object returned from Step 1
        target_user_id: The Genesys User ID of the agent (if updating agent attributes)
        target_external_contact_id: The external ID of the customer (if updating customer attributes)
    
    Returns:
        The participant object
    """
    participants = conversation.get('participants', [])
    
    for participant in participants:
        # Check for Agent/User
        if target_user_id and participant.get('userId') == target_user_id:
            return participant
        
        # Check for External Contact (Customer)
        if target_external_contact_id and participant.get('externalContactId') == target_external_contact_id:
            return participant
            
    raise ValueError("Participant not found in the conversation")

Step 3: Update Participant Attributes

Genesys Cloud stores participant attributes as a flat key-value map. Keys are strings, and values can be strings, numbers, booleans, or null.

Critical Constraints:

1. Keys are case-sensitive.
2. Keys cannot contain special characters that break JSON parsing (though the API is generally forgiving, stick to alphanumeric and underscores).
3. The participantAttributes field is replaced entirely if you send a full participant object, but the PATCH operation allows merging. However, the SDK’s put_conversations_conversation_id_participant method replaces the participant resource. To safely update attributes without overwriting other metadata, we must read the current attributes, merge our new data, and write it back.

import json
from datetime import datetime

def update_participant_attributes(client: PureCloudPlatformClientV2, conversation_id: str, participant_id: str, new_attributes: dict) -> dict:
    """
    Updates the attributes of a specific participant in a live conversation.
    
    Args:
        client: The initialized PureCloudPlatformClientV2
        conversation_id: The Genesys Cloud conversation ID
        participant_id: The participant ID (not user ID)
        new_attributes: A dictionary of key-value pairs to add/update
    
    Returns:
        The updated participant object
    """
    conversations_api = ConversationsApi(client)
    
    # 1. Fetch the current participant to preserve existing attributes
    try:
        current_participant = conversations_api.get_conversations_conversation_id_participant(
            conversation_id=conversation_id,
            participant_id=participant_id
        )
    except ApiException as e:
        print(f"Failed to fetch participant: {e.body}")
        raise

    # 2. Merge attributes
    # Initialize existing attributes if None
    existing_attributes = current_participant.participant_attributes or {}
    
    # Deep merge: new_attributes overwrite existing keys with same name
    merged_attributes = {**existing_attributes, **new_attributes}
    
    # 3. Construct the update body
    # We only need to send the fields we want to change. 
    # The SDK allows partial updates via PUT if we only send participantAttributes.
    # However, the Genesys API for participants is a full resource replacement.
    # To be safe, we reconstruct the participant object but only change attributes.
    
    # Note: The SDK object is immutable in some versions, so we convert to dict
    participant_body = {
        "participantAttributes": merged_attributes
    }
    
    # 4. Execute the update
    # Endpoint: PUT /api/v2/conversations/{conversationId}/participants/{participantId}
    try:
        updated_participant = conversations_api.put_conversations_conversation_id_participant(
            conversation_id=conversation_id,
            participant_id=participant_id,
            body=participant_body
        )
        return updated_participant
        
    except ApiException as e:
        if e.status == 404:
            print("Conversation or Participant not found. It may have ended.")
        elif e.status == 400:
            print("Bad Request. Check attribute key/value format.")
        elif e.status == 409:
            print("Conflict. Another update happened simultaneously.")
        raise

Important Note on Concurrency:
If multiple systems update the same participant simultaneously, you may encounter a 409 Conflict. The Genesys API uses optimistic locking. If you receive a 409, you must re-fetch the participant, re-merge the attributes, and retry.

Step 4: Handling 409 Conflicts with Retry Logic

Production systems must handle race conditions. Here is a robust wrapper that implements exponential backoff for 409 errors.

import time
import random

def update_participant_with_retry(client: PureCloudPlatformClientV2, conversation_id: str, participant_id: str, new_attributes: dict, max_retries: int = 3) -> dict:
    """
    Updates participant attributes with automatic retry on 409 Conflict.
    """
    for attempt in range(max_retries):
        try:
            return update_participant_attributes(client, conversation_id, participant_id, new_attributes)
        except ApiException as e:
            if e.status == 409:
                # Exponential backoff with jitter
                wait_time = (2 ** attempt) + random.uniform(0, 1)
                print(f"Conflict detected (409). Retrying in {wait_time:.2f} seconds...")
                time.sleep(wait_time)
            else:
                # Non-retryable error, raise immediately
                raise
    raise Exception("Max retries exceeded for participant attribute update.")

Complete Working Example

This script demonstrates the full flow: authenticate, find a call by external ID, locate the agent, and update their attributes.

import os
import sys
from dotenv import load_dotenv
from purecloud_platform_client import (
    Configuration,
    PureCloudPlatformClientV2,
    ConversationsApi
)
from purecloud_platform_client.rest import ApiException

# Load environment variables
load_dotenv()

def main():
    # 1. Configuration
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    base_url = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")
    
    # External identifiers from your business system
    external_call_id = os.getenv("EXTERNAL_CALL_ID", "ORDER-12345")
    agent_user_id = os.getenv("AGENT_USER_ID") # The Genesys User ID of the agent
    
    if not agent_user_id:
        print("Error: AGENT_USER_ID not set in environment.")
        sys.exit(1)

    # 2. Initialize Client
    config = Configuration(
        client_id=client_id,
        client_secret=client_secret,
        host=base_url
    )
    client = PureCloudPlatformClientV2(config)
    conversations_api = ConversationsApi(client)

    # 3. Find Conversation
    print(f"Searching for conversation with External ID: {external_call_id}")
    try:
        response = conversations_api.post_conversations_details_query(
            body={
                "queryType": "id",
                "externalIds": [external_call_id],
                "types": ["voice"],
                "maxResults": 1
            }
        )
        
        if not response.items:
            print("No active conversation found.")
            return

        conversation = response.items[0]
        conversation_id = conversation.id
        print(f"Found Conversation ID: {conversation_id}")

    except ApiException as e:
        print(f"Error fetching conversation: {e.body}")
        return

    # 4. Find Participant
    print(f"Locating Agent with User ID: {agent_user_id}")
    participant_id = None
    
    for p in conversation.participants:
        if p.user_id == agent_user_id:
            participant_id = p.id
            break
            
    if not participant_id:
        print("Agent not found in this conversation.")
        return

    print(f"Found Participant ID: {participant_id}")

    # 5. Update Attributes
    # Example: Setting a flag that the order was updated
    new_attributes = {
        "orderStatus": "Updated",
        "lastSyncTimestamp": "2023-10-27T10:00:00Z",
        "priorityLevel": 1
    }

    print("Updating participant attributes...")
    try:
        # Using the retry logic defined in previous sections
        # For brevity, calling the direct function here, but use update_participant_with_retry in prod
        updated_participant = update_participant_attributes(
            client, 
            conversation_id, 
            participant_id, 
            new_attributes
        )
        
        print("Attributes updated successfully.")
        print(f"New Attributes: {updated_participant.participant_attributes}")
        
    except Exception as e:
        print(f"Failed to update attributes: {e}")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 403 Forbidden

• Cause: The OAuth client lacks the conversation:participant:write scope.
• Fix: Go to Genesys Cloud Admin > Setup > Integrations > OAuth Clients. Select your client, edit scopes, and add conversation:participant:write. Restart your application to refresh the token.

Error: 409 Conflict

• Cause: Two requests attempted to update the same participant resource at the same time. The version of the resource changed between your read and write.
• Fix: Implement the retry logic shown in Step 4. Re-fetch the participant, merge the new attributes with the latest existing attributes, and retry the PUT request.

Error: 400 Bad Request - “Invalid attribute key”

• Cause: Attribute keys must be valid JSON strings. Avoid keys with leading/trailing whitespace or control characters.
• Fix: Sanitize keys before sending. Use alphanumeric characters and underscores only. Example: order_status is valid; order status is risky.

Error: Participant Not Found (404)

• Cause: The conversation ended before your update arrived, or the participant_id is incorrect.
• Fix: Check the state field in the conversation object. If it is ENDED or TERMINATED, you cannot update participant attributes. You must log this event to your external database instead.

Official References

• Genesys Cloud API: Conversations
• Genesys Cloud Python SDK Documentation
• OAuth 2.0 Client Credentials Flow