How to Safely Delete a User via Genesys Cloud API Without Losing Historical Data

What You Will Build

• This tutorial demonstrates how to programmatically deactivate and delete a user in Genesys Cloud while preserving their historical conversation records and performance metrics.
• It uses the Genesys Cloud PureCloud Platform Client SDK (Python) and direct REST API calls for user management and analytics verification.
• The implementation covers Python, with concepts applicable to Java, .NET, and JavaScript SDKs.

Prerequisites

• OAuth Client Type: A Private Key (JWT) or Client Credentials flow client with the following scopes:
  • user:write (to modify user status)
  • user:delete (to delete the user)
  • analytics:read (to verify data retention)
  • routing:users:read (to check user associations)
• SDK Version: genesyscloud Python SDK v2.10.0 or later.
• Language/Runtime: Python 3.8+.
• External Dependencies:
  • genesyscloud
  • python-dotenv (for secure credential management)
  • time (standard library, for status polling)

Authentication Setup

Genesys Cloud uses JWT (JSON Web Token) authentication for server-to-server integrations. You must generate a private key from the Admin Console (Develop > Integrations) or use Client Credentials. For this tutorial, we assume a Private Key setup.

First, install the required packages:

pip install genesyscloud python-dotenv

Create a .env file in your project root:

GENESYS_CLOUD_REGION=us-east-1
GENESYS_CLOUD_PRIVATE_KEY_FILE=path/to/your/private_key.pem
GENESYS_CLOUD_CLIENT_ID=your_client_id

Initialize the SDK in your Python script. The PlatformClient handles token generation and refresh automatically.

import os
from dotenv import load_dotenv
from platform_sdk import PlatformClient

load_dotenv()

def init_client():
    """
    Initializes the Genesys Cloud Platform Client using Private Key authentication.
    """
    platform_client = PlatformClient()
    
    region = os.getenv("GENESYS_CLOUD_REGION")
    private_key_file = os.getenv("GENESYS_CLOUD_PRIVATE_KEY_FILE")
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    
    if not all([region, private_key_file, client_id]):
        raise ValueError("Missing required environment variables for authentication.")

    # Configure the client with private key authentication
    platform_client.set_private_key_auth(
        private_key_path=private_key_file,
        client_id=client_id,
        region=region
    )
    
    return platform_client

client = init_client()

Implementation

Step 1: Identify the User and Check Dependencies

Before deleting a user, you must identify their ID and ensure they are not currently active in a way that would cause immediate errors. While Genesys Cloud allows deleting users who have active associations, it is best practice to verify their current status.

Required Scope: routing:users:read

def find_user_by_email(email: str) -> dict:
    """
    Finds a user by their email address.
    Returns the user object or None.
    """
    try:
        # Search users by email
        response = client.users_api.search_users(
            query=email,
            expand=["groups", "skills"]
        )
        
        if response.entities and len(response.entities) > 0:
            return response.entities[0]
        return None
    except Exception as e:
        print(f"Error searching for user: {e}")
        return None

# Example usage
target_email = "former.employee@example.com"
user = find_user_by_email(target_email)

if not user:
    raise ValueError(f"User with email {target_email} not found.")

print(f"Found User: {user.name} (ID: {user.id})")

Step 2: Deactivate the User

You cannot delete a user while they are still active. The API requires the user status to be inactive before deletion. This step also revokes their access to the platform immediately.

Required Scope: user:write

The PUT /api/v2/users/{userId} endpoint updates the user. The critical field is status.

import time

def deactivate_user(user_id: str) -> bool:
    """
    Sets the user status to 'inactive'.
    Retries if the API returns a 409 Conflict (often due to propagation delay).
    """
    # Prepare the update body
    body = {
        "status": "inactive"
    }
    
    try:
        # Update the user status
        response = client.users_api.update_user(
            user_id=user_id,
            body=body
        )
        
        print(f"User {user_id} status updated to: {response.status}")
        return True
        
    except Exception as e:
        # Check for specific HTTP errors
        if hasattr(e, 'status_code'):
            if e.status_code == 409:
                print("Conflict: User may be in use by an active session. Waiting 5 seconds...")
                time.sleep(5)
                return deactivate_user(user_id) # Retry once
            elif e.status_code == 404:
                print("User not found.")
                return False
        print(f"Error deactivating user: {e}")
        return False

# Execute deactivation
if not deactivate_user(user.id):
    raise RuntimeError("Failed to deactivate user. Aborting deletion.")

print("User deactivated successfully.")

Step 3: Wait for Propagation

Genesys Cloud is a distributed system. After setting a user to inactive, it may take a few seconds for the change to propagate to all microservices, particularly those handling identity and permissions. Attempting to delete immediately after deactivation can result in a 409 Conflict.

def wait_for_propagation(seconds: int = 10):
    """
    Simple sleep to allow distributed state propagation.
    In production, you might poll the user status to confirm 'inactive'.
    """
    print(f"Waiting {seconds} seconds for state propagation...")
    time.sleep(seconds)

wait_for_propagation(10)

Step 4: Delete the User

Now that the user is inactive, you can delete them. This operation is permanent for the user record itself, but does not delete historical data. Conversations, chats, emails, and tasks associated with this user ID remain intact in the analytics database.

Required Scope: user:delete

The DELETE /api/v2/users/{userId} endpoint does not require a body.

def delete_user(user_id: str) -> bool:
    """
    Permanently deletes the user from the system.
    Historical data (conversations, logs) remains associated with the user ID.
    """
    try:
        # Delete the user
        response = client.users_api.delete_user(user_id=user_id)
        
        # HTTP 204 No Content is the expected success response for DELETE
        print(f"User {user_id} deleted successfully. Response status: {response.status}")
        return True
        
    except Exception as e:
        if hasattr(e, 'status_code'):
            if e.status_code == 404:
                print("User already deleted or not found.")
                return True # Consider this a success if the goal is "not present"
            elif e.status_code == 409:
                print("Conflict: User cannot be deleted. Check if they are still active or in a group.")
                return False
        print(f"Error deleting user: {e}")
        return False

# Execute deletion
if not delete_user(user.id):
    raise RuntimeError("Failed to delete user.")

print("User deletion process complete.")

Step 5: Verify Historical Data Retention

To prove that historical data is preserved, we query the analytics API for conversations handled by the deleted user. The user ID remains in the wrappers or participants data.

Required Scope: analytics:read

from datetime import datetime, timedelta

def verify_historical_data(user_id: str, days_back: int = 30) -> list:
    """
    Queries analytics for conversations handled by the deleted user.
    """
    end_date = datetime.utcnow().isoformat()
    start_date = (datetime.utcnow() - timedelta(days=days_back)).isoformat()
    
    query = {
        "dateRange": {
            "startDate": start_date,
            "endDate": end_date
        },
        "view": "conversation",
        "groupBy": ["user"],
        "filter": {
            "type": "and",
            "clauses": [
                {
                    "type": "equals",
                    "path": "user.id",
                    "value": user_id
                }
            ]
        }
    }
    
    try:
        response = client.analytics_api.post_analytics_conversations_details_query(
            body=query,
            async_req=True # Use async to handle large result sets if needed
        )
        
        # For simplicity, we sync wait here
        result = response.get()
        
        if result.entities:
            total_conversations = sum([e.total for e in result.entities])
            print(f"Historical Data Check: Found {total_conversations} conversations for deleted user {user_id}.")
            return result.entities
        else:
            print("No historical conversations found in the specified range.")
            return []
            
    except Exception as e:
        print(f"Error querying analytics: {e}")
        return []

# Verify data
verify_historical_data(user.id)

Complete Working Example

Below is the full, copy-pasteable Python script. Save this as delete_user_safe.py.

import os
import time
from datetime import datetime, timedelta
from dotenv import load_dotenv
from platform_sdk import PlatformClient

# Load environment variables
load_dotenv()

def init_client():
    """Initializes the Genesys Cloud Platform Client."""
    platform_client = PlatformClient()
    region = os.getenv("GENESYS_CLOUD_REGION")
    private_key_file = os.getenv("GENESYS_CLOUD_PRIVATE_KEY_FILE")
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    
    if not all([region, private_key_file, client_id]):
        raise ValueError("Missing required environment variables: GENESYS_CLOUD_REGION, GENESYS_CLOUD_PRIVATE_KEY_FILE, GENESYS_CLOUD_CLIENT_ID")

    platform_client.set_private_key_auth(
        private_key_path=private_key_file,
        client_id=client_id,
        region=region
    )
    return platform_client

def find_user_by_email(client, email: str):
    """Finds a user by email."""
    try:
        response = client.users_api.search_users(query=email, expand=["groups"])
        if response.entities and len(response.entities) > 0:
            return response.entities[0]
    except Exception as e:
        print(f"Error searching user: {e}")
    return None

def deactivate_user(client, user_id: str):
    """Sets user status to inactive."""
    body = {"status": "inactive"}
    try:
        response = client.users_api.update_user(user_id=user_id, body=body)
        print(f"User {user_id} deactivated. Status: {response.status}")
        return True
    except Exception as e:
        if hasattr(e, 'status_code') and e.status_code == 409:
            print("Conflict during deactivation. Retrying in 5s...")
            time.sleep(5)
            return deactivate_user(client, user_id)
        print(f"Deactivation failed: {e}")
        return False

def delete_user(client, user_id: str):
    """Deletes the user."""
    try:
        response = client.users_api.delete_user(user_id=user_id)
        print(f"User {user_id} deleted successfully.")
        return True
    except Exception as e:
        if hasattr(e, 'status_code') and e.status_code == 404:
            print("User not found (already deleted?).")
            return True
        print(f"Deletion failed: {e}")
        return False

def verify_history(client, user_id: str, days_back: int = 30):
    """Checks if historical data persists."""
    end_date = datetime.utcnow().isoformat()
    start_date = (datetime.utcnow() - timedelta(days=days_back)).isoformat()
    
    query = {
        "dateRange": {"startDate": start_date, "endDate": end_date},
        "view": "conversation",
        "groupBy": ["user"],
        "filter": {
            "type": "and",
            "clauses": [{"type": "equals", "path": "user.id", "value": user_id}]
        }
    }
    
    try:
        response = client.analytics_api.post_analytics_conversations_details_query(body=query)
        if response.entities:
            total = sum([e.total for e in response.entities])
            print(f"SUCCESS: Historical data preserved. {total} conversations found for deleted user.")
        else:
            print("INFO: No conversations found in the last {days_back} days.")
    except Exception as e:
        print(f"Analytics check failed: {e}")

def main():
    target_email = os.getenv("TARGET_USER_EMAIL")
    if not target_email:
        raise ValueError("Set TARGET_USER_EMAIL in .env")

    client = init_client()
    
    # 1. Find User
    print(f"Searching for user: {target_email}")
    user = find_user_by_email(client, target_email)
    if not user:
        print("User not found. Exiting.")
        return

    user_id = user.id
    print(f"Found User: {user.name} (ID: {user_id})")

    # 2. Deactivate
    print("Deactivating user...")
    if not deactivate_user(client, user_id):
        print("Aborting due to deactivation failure.")
        return

    # 3. Propagation Wait
    print("Waiting for state propagation...")
    time.sleep(10)

    # 4. Delete
    print("Deleting user...")
    if not delete_user(client, user_id):
        print("Aborting due to deletion failure.")
        return

    # 5. Verify
    print("Verifying historical data retention...")
    verify_history(client, user_id)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 409 Conflict on Delete

What causes it:
The user is still marked as active in one of the distributed services, or the user is currently in an active interaction (e.g., on a call).

How to fix it:

1. Ensure you called update_user with status: inactive before delete.
2. Add a time.sleep(5) or longer between deactivation and deletion.
3. Check if the user is in an active queue or has an ongoing session. If so, wait for the session to end.

Code Fix:

# Inside delete_user function
except Exception as e:
    if e.status_code == 409:
        print("User likely still active or in session. Ensure deactivation succeeded and wait.")
        raise

Error: 403 Forbidden

What causes it:
The OAuth token lacks the user:delete or user:write scope.

How to fix it:

1. Go to Genesys Cloud Admin > Develop > Integrations.
2. Select your application.
3. Add user:write and user:delete to the Scopes list.
4. Regenerate the private key if necessary (though scope changes usually apply immediately to new tokens).

Error: Historical Data Missing

What causes it:
This is rare. If data is missing, it is usually due to:

1. The analytics query date range is incorrect.
2. The user ID in the analytics result is null because the user was deleted before the conversation record was fully indexed (extremely rare race condition).

How to fix it:

1. Verify the user.id used in the query matches the deleted user’s ID.
2. Expand the days_back parameter in verify_history.
3. Use the conversationId from a known past interaction to query directly via GET /api/v2/analytics/conversations/details/{conversationId} to confirm the user ID is present in the participant list.

Official References

• Users API Documentation
• Analytics Conversations API Documentation
• Python SDK Documentation
• OAuth Scopes Documentation