Programmatic Call Transfer via Genesys Cloud Conversations API

What You Will Build

• A Python script that identifies an active voice conversation and executes a programmatic transfer to a specific queue using the PATCH method on the Conversations API.
• This tutorial utilizes the Genesys Cloud CX REST API v2, specifically the /api/v2/conversations/voice/{conversationId} endpoint.
• The implementation is written in Python 3.9+ using the requests library for HTTP communication.

Prerequisites

• OAuth Client Type: Machine-to-Machine (MTM) or User-to-Machine (UTM) client with appropriate permissions.
• Required Scopes:
  • conversation:view (to fetch conversation details)
  • conversation:write (to modify the conversation state and execute the transfer)
  • queue:view (optional, but recommended for validating the target queue ID beforehand)
• SDK/API Version: Genesys Cloud CX API v2.
• Language/Runtime: Python 3.9 or higher.
• External Dependencies:
  • requests (version 2.28.0+)
  • python-dotenv (for secure credential management)

Authentication Setup

Before interacting with any Genesys Cloud API, you must obtain an OAuth 2.0 access token. For programmatic scripts, the Client Credentials Grant flow is the standard approach. This flow exchanges your client ID and secret for a short-lived access token.

The following function handles the token acquisition. It caches the token locally to avoid unnecessary API calls within the token’s validity window (typically 3600 seconds).

import os
import requests
from datetime import datetime, timedelta
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

GENESYS_CLOUD_REGION = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")
CLIENT_ID = os.getenv("GENESYS_CLOUD_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")

# Token cache
_token_cache = {
    "access_token": None,
    "expires_at": None
}

def get_access_token() -> str:
    """
    Retrieves an OAuth 2.0 access token using Client Credentials Grant.
    Returns a cached token if valid, otherwise fetches a new one.
    """
    # Check if we have a valid cached token
    if _token_cache["access_token"] and _token_cache["expires_at"] > datetime.now():
        return _token_cache["access_token"]

    url = f"https://api.{GENESYS_CLOUD_REGION}/oauth/token"
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }

    try:
        response = requests.post(url, headers=headers, data=data)
        response.raise_for_status()
        token_data = response.json()
        
        # Cache the token
        _token_cache["access_token"] = token_data["access_token"]
        # Set expiry to slightly before actual expiry to prevent race conditions
        _token_cache["expires_at"] = datetime.now() + timedelta(seconds=token_data["expires_in"] - 60)
        
        return _token_cache["access_token"]
    except requests.exceptions.HTTPError as e:
        print(f"Authentication failed: {e.response.status_code} - {e.response.text}")
        raise
    except Exception as e:
        print(f"An error occurred during authentication: {e}")
        raise

def get_auth_headers() -> dict:
    """
    Returns the standard headers required for Genesys Cloud API requests.
    """
    token = get_access_token()
    return {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }

Implementation

Step 1: Identify the Target Conversation

To transfer a call, you must know the conversationId. In a production environment, you might receive this ID via a webhook event or by querying the active conversations for a specific user or queue. For this tutorial, we will simulate finding an active voice conversation by querying the recent history for a specific user or simply by using a hardcoded ID for demonstration purposes.

However, to make this robust, let us write a helper function that finds the most recent active voice conversation for a given user ID. This requires the conversation:view scope.

def find_active_voice_conversation(user_id: str) -> str:
    """
    Finds the most recent active voice conversation for a specific user.
    
    Args:
        user_id: The ID of the user whose active call we want to find.
        
    Returns:
        The conversation ID string, or None if no active call is found.
    """
    url = f"https://api.{GENESYS_CLOUD_REGION}/api/v2/conversations/voice"
    headers = get_auth_headers()
    
    # We filter by participants to find conversations involving this user
    params = {
        "filter": f"participants:{user_id}",
        "expand": "participants,queue"
    }

    try:
        response = requests.get(url, headers=headers, params=params)
        response.raise_for_status()
        conversations = response.json().get("entities", [])
        
        for conv in conversations:
            # Check if the conversation is in an active state (RINGING, EARLY, or CONNECTED)
            if conv.get("state") in ["RINGING", "EARLY", "CONNECTED"]:
                return conv["id"]
                
        return None
    except requests.exceptions.HTTPError as e:
        print(f"Failed to fetch conversations: {e.response.status_code}")
        raise

Step 2: Construct the Transfer Payload

The core of the transfer operation is the PATCH request to /api/v2/conversations/voice/{conversationId}. The body of this request must contain a diverts array. Each element in this array represents a diversion action.

For a queue transfer, the diverts object requires:

• action: Set to "queue".
• queueId: The UUID of the target queue.
• divertType: Set to "transfer" (explicitly indicates a transfer rather than a consult or other diversion).

It is critical to understand that PATCH is a partial update. You do not need to send the entire conversation object. You only send the fields you wish to change.

def create_transfer_payload(queue_id: str) -> dict:
    """
    Constructs the JSON payload for a queue transfer.
    
    Args:
        queue_id: The UUID of the target queue.
        
    Returns:
        A dictionary representing the PATCH body.
    """
    payload = {
        "diverts": [
            {
                "action": "queue",
                "queueId": queue_id,
                "divertType": "transfer"
            }
        ]
    }
    return payload

Step 3: Execute the Transfer

Now we combine the authentication, conversation lookup, and payload construction into a single execution function. This function performs the PATCH request.

Key considerations for error handling:

• 400 Bad Request: The queueId is invalid, or the conversation is not in a transferable state (e.g., already completed).
• 403 Forbidden: The user associated with the OAuth token lacks conversation:write permissions.
• 404 Not Found: The conversationId does not exist.
• 429 Too Many Requests: Rate limiting has been triggered.

def transfer_call_to_queue(conversation_id: str, queue_id: str) -> dict:
    """
    Executes a programmatic transfer of a voice conversation to a queue.
    
    Args:
        conversation_id: The UUID of the voice conversation to transfer.
        queue_id: The UUID of the target queue.
        
    Returns:
        The response JSON from the API.
    """
    url = f"https://api.{GENESYS_CLOUD_REGION}/api/v2/conversations/voice/{conversation_id}"
    headers = get_auth_headers()
    payload = create_transfer_payload(queue_id)

    try:
        # Perform the PATCH request
        response = requests.patch(url, headers=headers, json=payload)
        
        # Log the status code for debugging
        print(f"Transfer API Response Status: {response.status_code}")
        
        # Raise an exception for error status codes
        response.raise_for_status()
        
        # Return the JSON response (usually empty or contains minimal confirmation for PATCH)
        return response.json() if response.text else {}
        
    except requests.exceptions.HTTPError as e:
        print(f"Transfer failed with HTTP error: {e.response.status_code}")
        print(f"Response Body: {e.response.text}")
        
        # Specific handling for common errors
        if e.response.status_code == 400:
            print("Error 400: Check if the conversation is in a valid state (CONNECTED) and if the queueId is valid.")
        elif e.response.status_code == 403:
            print("Error 403: Ensure your OAuth token has the 'conversation:write' scope.")
        elif e.response.status_code == 404:
            print("Error 404: The conversation ID does not exist or has ended.")
        elif e.response.status_code == 429:
            print("Error 429: Rate limit exceeded. Implement exponential backoff.")
            
        raise
    except requests.exceptions.ConnectionError:
        print("Connection error: Could not reach Genesys Cloud API.")
        raise

Complete Working Example

The following script integrates all components. It assumes you have a .env file with GENESYS_CLOUD_CLIENT_ID, GENESYS_CLOUD_CLIENT_SECRET, and GENESYS_CLOUD_REGION. You must also provide the USER_ID of the agent who is currently on the call and the TARGET_QUEUE_ID where the call should be transferred.

import os
import sys
import requests
from datetime import datetime, timedelta
from dotenv import load_dotenv

# --- Configuration ---
load_dotenv()

GENESYS_CLOUD_REGION = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")
CLIENT_ID = os.getenv("GENESYS_CLOUD_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")

# These must be set in your .env file or passed as arguments
USER_ID = os.getenv("USER_ID")  # ID of the agent currently on the call
TARGET_QUEUE_ID = os.getenv("TARGET_QUEUE_ID") # ID of the queue to transfer to

# --- Token Management ---
_token_cache = {
    "access_token": None,
    "expires_at": None
}

def get_access_token() -> str:
    if _token_cache["access_token"] and _token_cache["expires_at"] > datetime.now():
        return _token_cache["access_token"]

    url = f"https://api.{GENESYS_CLOUD_REGION}/oauth/token"
    headers = {"Content-Type": "application/x-www-form-urlencoded"}
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }

    try:
        response = requests.post(url, headers=headers, data=data)
        response.raise_for_status()
        token_data = response.json()
        _token_cache["access_token"] = token_data["access_token"]
        _token_cache["expires_at"] = datetime.now() + timedelta(seconds=token_data["expires_in"] - 60)
        return _token_cache["access_token"]
    except requests.exceptions.HTTPError as e:
        print(f"Authentication failed: {e.response.status_code} - {e.response.text}")
        sys.exit(1)

def get_auth_headers() -> dict:
    token = get_access_token()
    return {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }

# --- Core Logic ---

def find_active_voice_conversation(user_id: str) -> str:
    """
    Finds the most recent active voice conversation for a specific user.
    """
    if not user_id:
        print("Error: USER_ID is not set.")
        sys.exit(1)

    url = f"https://api.{GENESYS_CLOUD_REGION}/api/v2/conversations/voice"
    headers = get_auth_headers()
    params = {
        "filter": f"participants:{user_id}",
        "expand": "participants"
    }

    try:
        response = requests.get(url, headers=headers, params=params)
        response.raise_for_status()
        conversations = response.json().get("entities", [])
        
        for conv in conversations:
            # Active states: RINGING, EARLY, CONNECTED
            if conv.get("state") in ["RINGING", "EARLY", "CONNECTED"]:
                print(f"Found active conversation: {conv['id']} (State: {conv['state']})")
                return conv["id"]
                
        print("No active voice conversation found for the specified user.")
        return None
    except requests.exceptions.HTTPError as e:
        print(f"Failed to fetch conversations: {e.response.status_code} - {e.response.text}")
        sys.exit(1)

def transfer_call_to_queue(conversation_id: str, queue_id: str) -> bool:
    """
    Executes a programmatic transfer of a voice conversation to a queue.
    """
    if not queue_id:
        print("Error: TARGET_QUEUE_ID is not set.")
        sys.exit(1)

    url = f"https://api.{GENESYS_CLOUD_REGION}/api/v2/conversations/voice/{conversation_id}"
    headers = get_auth_headers()
    
    payload = {
        "diverts": [
            {
                "action": "queue",
                "queueId": queue_id,
                "divertType": "transfer"
            }
        ]
    }

    try:
        print(f"Initiating transfer of conversation {conversation_id} to queue {queue_id}...")
        response = requests.patch(url, headers=headers, json=payload)
        
        print(f"API Response Status: {response.status_code}")
        
        if response.status_code == 200:
            print("Transfer initiated successfully.")
            return True
        elif response.status_code == 204:
            print("Transfer initiated successfully (No Content).")
            return True
        else:
            print(f"Transfer failed. Response: {response.text}")
            return False
            
    except requests.exceptions.ConnectionError:
        print("Connection error: Could not reach Genesys Cloud API.")
        return False
    except Exception as e:
        print(f"An unexpected error occurred: {e}")
        return False

# --- Main Execution ---

if __name__ == "__main__":
    if not CLIENT_ID or not CLIENT_SECRET:
        print("Error: Missing CLIENT_ID or CLIENT_SECRET in environment variables.")
        sys.exit(1)

    # Step 1: Find the active call
    conversation_id = find_active_voice_conversation(USER_ID)
    
    if conversation_id:
        # Step 2: Transfer the call
        success = transfer_call_to_queue(conversation_id, TARGET_QUEUE_ID)
        
        if success:
            print("Process completed successfully.")
        else:
            print("Process failed.")
            sys.exit(1)
    else:
        print("Process aborted: No active call found.")
        sys.exit(1)

Common Errors & Debugging

Error: 400 Bad Request

Cause: The queueId provided does not exist, is not a valid UUID, or the conversation is not in a state that allows transfer (e.g., the call has already ended or is in COMPLETED state).
Fix: Verify the TARGET_QUEUE_ID in the Genesys Cloud Admin console. Ensure the conversation is currently CONNECTED. You can check the conversation state by calling GET /api/v2/conversations/voice/{conversationId}.

Error: 403 Forbidden

Cause: The OAuth token used in the request lacks the conversation:write scope. This often happens if the MTM client was created with limited permissions.
Fix: Go to the Genesys Cloud Admin console → Platform → Applications. Select your client and ensure conversation:write and conversation:view are checked under the OAuth 2.0 Client credentials tab. Regenerate the token.

Error: 404 Not Found

Cause: The conversationId is invalid or the conversation has expired. Voice conversations in Genesys Cloud are retained for a limited time in the active API endpoint before moving to history.
Fix: Ensure you are querying the conversation ID immediately after it becomes active. If using the history API, ensure the conversation is still within the retention window.

Error: 429 Too Many Requests

Cause: You have exceeded the rate limit for the Conversations API. This is common if you are polling for conversation status in a tight loop.
Fix: Implement exponential backoff. Do not poll faster than once every 5 seconds for status checks. For transfer operations, ensure you are not triggering multiple transfers for the same conversation simultaneously.

Error: “Divert already in progress”

Cause: You attempted to transfer a conversation that is already being transferred or has an active divert action.
Fix: Check the current diverts array in the conversation object. If a transfer is already pending, wait for it to complete or cancel it if necessary (using DELETE on the divert) before initiating a new one.

Official References

• Genesys Cloud CX API Documentation: Conversations
• Genesys Cloud CX API Documentation: Voice Conversations
• Genesys Cloud CX OAuth 2.0 Guide