Reading and Writing Participant Attributes During a Live Genesys Cloud Voice Call

What You Will Build

• A Python script that attaches a participant to an active voice conversation, reads their current attributes, updates those attributes with external data, and verifies the change via the REST API.
• This tutorial uses the Genesys Cloud PureCloudPlatformClientV2 SDK and the underlying REST API endpoints.
• The implementation is written in Python 3.9+ using the requests library for low-level API calls where the SDK lacks direct convenience methods for granular attribute manipulation.

Prerequisites

• OAuth Client Type: Client Credentials Grant.
• Required Scopes:
  • conversation:participant:write (to update attributes)
  • conversation:participant:read (to read attributes)
  • conversation:voice:read (to access voice conversation details)
• SDK Version: genesys-cloud-sdk-python v2.0.0+.
• Language/Runtime: Python 3.9 or later.
• External Dependencies:
  • genesys-cloud-sdk-python
  • requests

Install the dependencies:

pip install genesys-cloud-sdk-python requests

Authentication Setup

Genesys Cloud APIs require OAuth 2.0 authentication. For server-side integrations, the Client Credentials Grant is the standard flow. You must configure a Service Account in the Genesys Cloud Admin console with the scopes listed above.

The following code initializes the PureCloud Platform Client. This handles token acquisition, caching, and automatic refresh.

import os
from platformclientv2 import Authentication, PlatformClient
from platformclientv2.rest import ApiException

def initialize_client():
    """
    Initializes the Genesys Cloud Platform Client with Client Credentials.
    """
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    environment = os.getenv("GENESYS_ENVIRONMENT", "us-east-1") # e.g., us-east-1, eu-west-1

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

    # Initialize the client
    client = PlatformClient()
    client.set_environment(environment)
    
    # Authenticate using client credentials
    try:
        client.authenticate_client_credentials(client_id, client_secret)
        print("Authentication successful.")
        return client
    except ApiException as e:
        print(f"Authentication failed with status: {e.status}")
        print(f"Reason: {e.reason}")
        raise

# Cache the client instance for reuse
purecloud_client = initialize_client()

Implementation

Step 1: Locate the Active Conversation and Participant

To modify participant attributes, you first need the conversationId and the specific participantId. In a production system, this ID is often passed from the IVR via the transferTo parameters or retrieved via a webhook. For this tutorial, we will query the active voice conversations to find a target.

We use the ConversationsApi to list active voice conversations.

from platformclientv2.api import ConversationsApi
from platformclientv2.models import Conversation

def find_active_voice_conversation(client: PlatformClient) -> tuple[str, str]:
    """
    Finds an active voice conversation and returns the first participant's ID.
    In production, you would filter by a specific user or skill group.
    """
    conversations_api = ConversationsApi(client)
    
    # Query for active voice conversations
    # We limit to 1 for this example, but pagination exists for larger sets
    response = conversations_api.get_conversations_voice(
        conversation_ids=None,
        conversation_filter=None,
        page_size=1,
        page_number=1
    )

    if not response.entities or len(response.entities) == 0:
        raise RuntimeError("No active voice conversations found. Start a test call.")

    conversation: Conversation = response.entities[0]
    conversation_id = conversation.id
    
    # Participants are embedded in the conversation object for voice
    if not conversation.participants or len(conversation.participants) == 0:
        raise RuntimeError("Conversation has no participants.")

    # Get the first participant (usually the agent or the external party)
    participant = conversation.participants[0]
    participant_id = participant.id

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

    return conversation_id, participant_id

Step 2: Read Current Participant Attributes

Participant attributes are key-value pairs stored on the participant object. They are not always populated in the basic Conversation object returned by the list endpoint. To ensure we have the latest state, we fetch the participant details directly.

We will use the requests library here to demonstrate the raw HTTP cycle, as the SDK’s get_conversations_voice_participant returns a Participant object which is convenient, but we need to inspect the JSON structure for the attribute update payload.

OAuth Scope Required: conversation:participant:read

import requests

def read_participant_attributes(conversation_id: str, participant_id: str) -> dict:
    """
    Fetches the current attributes of a participant using the REST API directly.
    """
    # Determine the base URL based on the client's environment
    # The SDK client does not expose the base URL directly in a simple property,
    # so we derive it from the environment or use the client's internal rest client.
    # A more robust way with SDK is to use the API call, but for raw JSON inspection:
    
    # We will use the SDK's underlying configuration to get the host
    host = purecloud_client.configuration.host
    
    url = f"{host}/api/v2/conversations/voice/{conversation_id}/participants/{participant_id}"
    
    # Get an access token from the SDK client
    # The SDK caches tokens; we access them via the auth provider
    access_token = purecloud_client.get_access_token()
    
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json"
    }

    response = requests.get(url, headers=headers)
    
    if response.status_code != 200:
        raise RuntimeError(f"Failed to read participant. Status: {response.status_code}, Body: {response.text}")

    participant_data = response.json()
    
    # Extract attributes
    # Note: Attributes might be null if none have been set
    current_attributes = participant_data.get("attributes", {})
    
    print(f"Current Attributes: {current_attributes}")
    return current_attributes

Step 3: Update Participant Attributes

Updating attributes requires a PATCH request. You cannot simply PUT the entire participant object because it contains immutable fields and complex nested objects that will cause validation errors if not structured perfectly. The PATCH method allows you to send only the attributes field.

OAuth Scope Required: conversation:participant:write

Critical Constraint: Participant attributes are limited in size. The total size of all attributes for a participant must not exceed 10KB. Keys and values must be strings.

def update_participant_attributes(conversation_id: str, participant_id: str, new_attributes: dict) -> dict:
    """
    Updates the participant attributes using a PATCH request.
    """
    host = purecloud_client.configuration.host
    url = f"{host}/api/v2/conversations/voice/{conversation_id}/participants/{participant_id}"
    
    access_token = purecloud_client.get_access_token()
    
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json"
    }
    
    # The body must only contain the fields you wish to update.
    # Sending the entire object often results in 400 Bad Request due to version mismatches or immutable fields.
    payload = {
        "attributes": new_attributes
    }

    response = requests.patch(url, json=payload, headers=headers)

    if response.status_code == 200:
        updated_participant = response.json()
        print("Attributes updated successfully.")
        return updated_participant
    else:
        # Handle common errors
        if response.status_code == 429:
            print("Rate limited. Implement exponential backoff.")
            raise RuntimeError("Rate Limit Exceeded (429)")
        elif response.status_code == 409:
            print("Conflict. Another process may have updated the participant recently.")
            raise RuntimeError("Conflict (409)")
        else:
            print(f"Update failed. Status: {response.status_code}, Body: {response.text}")
            raise RuntimeError(f"Update failed with status {response.status_code}")

Step 4: Verify the Update

After updating, it is good practice to verify the change. This also demonstrates how to handle the eventual consistency of the API. Occasionally, a PATCH returns 200, but an immediate GET might return the old state due to caching or replication lag.

import time

def verify_update(conversation_id: str, participant_id: str, expected_key: str, expected_value: str, max_retries: int = 3, retry_delay: float = 1.0):
    """
    Verifies that the attribute was updated, with retries for eventual consistency.
    """
    for attempt in range(max_retries):
        current_attrs = read_participant_attributes(conversation_id, participant_id)
        
        if current_attrs.get(expected_key) == expected_value:
            print(f"Verification successful. Attribute '{expected_key}' is '{expected_value}'.")
            return True
        
        print(f"Attempt {attempt + 1}: Value not yet updated. Retrying in {retry_delay}s...")
        time.sleep(retry_delay)
        
    print("Verification failed after retries.")
    return False

Complete Working Example

The following script combines all steps. It finds an active call, reads attributes, injects a synthetic “external_system_id”, updates the participant, and verifies the change.

import os
import sys
import time
import requests
from platformclientv2 import Authentication, PlatformClient
from platformclientv2.rest import ApiException

# --- Configuration ---
# Set these in your environment
# export GENESYS_CLIENT_ID="your_client_id"
# export GENESYS_CLIENT_SECRET="your_client_secret"
# export GENESYS_ENVIRONMENT="us-east-1"

def initialize_client():
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    environment = os.getenv("GENESYS_ENVIRONMENT", "us-east-1")

    if not client_id or not client_secret:
        raise ValueError("Missing environment variables for Genesys Cloud credentials.")

    client = PlatformClient()
    client.set_environment(environment)
    
    try:
        client.authenticate_client_credentials(client_id, client_secret)
        return client
    except ApiException as e:
        print(f"Auth Error: {e.reason}")
        sys.exit(1)

def find_active_voice_conversation(client):
    from platformclientv2.api import ConversationsApi
    
    conversations_api = ConversationsApi(client)
    
    # Get active voice conversations
    response = conversations_api.get_conversations_voice(page_size=1)
    
    if not response.entities:
        raise RuntimeError("No active voice conversations found. Please place a test call.")

    conversation = response.entities[0]
    
    if not conversation.participants:
        raise RuntimeError("No participants in the active conversation.")

    # Select the first participant (e.g., the agent or caller)
    participant = conversation.participants[0]
    
    return conversation.id, participant.id

def update_and_verify_attributes(client, conversation_id, participant_id):
    host = client.configuration.host
    access_token = client.get_access_token()
    
    url = f"{host}/api/v2/conversations/voice/{conversation_id}/participants/{participant_id}"
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json"
    }

    # 1. Read Current State
    print("1. Reading current participant attributes...")
    resp_get = requests.get(url, headers=headers)
    if resp_get.status_code != 200:
        raise RuntimeError(f"Read failed: {resp_get.text}")
    
    current_data = resp_get.json()
    current_attrs = current_data.get("attributes") or {}
    print(f"   Current Attributes: {current_attrs}")

    # 2. Prepare New Attributes
    # Simulate data from an external CRM or database
    external_data = {
        "crm_customer_id": "CRM-998877",
        "loyalty_tier": "gold",
        "last_purchase_date": "2023-10-15"
    }
    
    # Merge with existing attributes to avoid overwriting other system data
    # In production, you might want to overwrite specific keys only
    merged_attrs = {**current_attrs, **external_data}
    
    # 3. Update Attributes (PATCH)
    print("2. Updating participant attributes...")
    payload = {
        "attributes": merged_attrs
    }
    
    resp_patch = requests.patch(url, json=payload, headers=headers)
    
    if resp_patch.status_code == 200:
        print("   Patch successful.")
    elif resp_patch.status_code == 429:
        print("   Rate Limited. Backing off...")
        time.sleep(5)
        # Retry once for simplicity
        resp_patch = requests.patch(url, json=payload, headers=headers)
        if resp_patch.status_code != 200:
            raise RuntimeError(f"Patch failed after retry: {resp_patch.text}")
    else:
        raise RuntimeError(f"Patch failed: {resp_patch.text}")

    # 4. Verify Update
    print("3. Verifying update...")
    # Small delay to allow replication
    time.sleep(1)
    
    resp_verify = requests.get(url, headers=headers)
    if resp_verify.status_code != 200:
        raise RuntimeError(f"Verify read failed: {resp_verify.text}")
        
    verified_data = resp_verify.json()
    verified_attrs = verified_data.get("attributes") or {}
    
    print(f"   Verified Attributes: {verified_attrs}")
    
    # Check if our new keys exist
    if verified_attrs.get("crm_customer_id") == "CRM-998877":
        print("SUCCESS: External attributes successfully written and verified.")
    else:
        print("WARNING: Attributes did not match expected values.")

if __name__ == "__main__":
    try:
        # Initialize
        client = initialize_client()
        
        # Find Target
        conv_id, part_id = find_active_voice_conversation(client)
        print(f"Targeting Conversation: {conv_id}, Participant: {part_id}")
        
        # Execute Logic
        update_and_verify_attributes(client, conv_id, part_id)
        
    except Exception as e:
        print(f"Error: {e}")
        sys.exit(1)

Common Errors & Debugging

Error: 403 Forbidden

Cause: The OAuth token used for the request lacks the required scope.
Fix: Ensure your Service Account has conversation:participant:write and conversation:participant:read scopes assigned. If you are using a user token, verify the user’s role has permission to update participant attributes.

# Check scopes in your token payload if debugging
import jwt
token = purecloud_client.get_access_token()
decoded = jwt.decode(token, options={"verify_signature": False})
print(f"Scopes: {decoded.get('scope')}")

Error: 400 Bad Request - “Attributes size exceeds limit”

Cause: The total size of the JSON object for attributes exceeds 10KB.
Fix: Audit the keys you are writing. Remove unnecessary metadata. If you need to store large amounts of data, store a reference ID (e.g., external_record_id) in Genesys Cloud and keep the large payload in your external database.

Error: 409 Conflict

Cause: The version field of the participant object has changed between your read and write operations. This happens in concurrent environments where another process (like a transfer or a disposition update) modifies the participant simultaneously.
Fix: Implement optimistic locking. Read the participant, note the version, perform your update, and include the original version in the PATCH body if the API requires it (for full object PUTs). For simple attribute patches, Genesys Cloud often handles this internally, but if you receive a 409, re-read the participant and retry the update.

# If using a full object update (PUT), you must include the version
payload = {
    "attributes": merged_attrs,
    "version": original_version # Required for PUT, optional for simple PATCH on attributes
}

Error: 429 Too Many Requests

Cause: You have exceeded the API rate limits for the tenant or the specific endpoint.
Fix: Implement exponential backoff. Do not retry immediately.

import time

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

Official References

• Genesys Cloud API Docs: Update Participant
• Genesys Cloud SDK Python Reference
• OAuth 2.0 Client Credentials Flow