How to Delete a User via the API Without Breaking Historical Interaction Data

What You Will Build

• One sentence: You will programmatically deactivate and purge a Genesys Cloud user account while ensuring their historical conversation records remain intact and attributable.
• One sentence: This tutorial uses the Genesys Cloud v2 REST API and the Python SDK (genesys-cloud-sdk).
• One sentence: The implementation covers user deactivation, verification of orphaned data integrity, and final deletion with error handling for rate limits and concurrency conflicts.

Prerequisites

• OAuth Client Type: A Client Credentials Grant client (or JWT) with the following scopes:
  • user:read
  • user:write
  • user:delete
  • analytics:conversations:read
• SDK Version: genesys-cloud-sdk >= 160.0.0 (Python).
• Language/Runtime: Python 3.9+.
• External Dependencies:
  • genesys-cloud-sdk
  • python-dotenv (for secure credential management)
  • requests (fallback for raw API checks if needed, though SDK is preferred)

Authentication Setup

Genesys Cloud uses OAuth 2.0. For server-to-server integrations, the Client Credentials flow is standard. The SDK handles token refresh automatically, but you must initialize the PureCloudPlatformClientV2 correctly.

import os
from dotenv import load_dotenv
from genesyscloud import PureCloudPlatformClientV2
from genesyscloud.auth import OAuthClientCredentialsConfig

# Load environment variables
load_dotenv()

def get_platform_client() -> PureCloudPlatformClientV2:
    """
    Initializes the Genesys Cloud Platform Client.
    """
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    
    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set.")

    # Configure OAuth
    oauth_config = OAuthClientCredentialsConfig(
        client_id=client_id,
        client_secret=client_secret
    )

    # Initialize Platform Client
    platform_client = PureCloudPlatformClientV2(oauth_config)
    return platform_client

Implementation

Step 1: Identify and Validate the User

Before deleting, you must locate the user by their email or external ID. You cannot delete a user if they are currently active in a routing queue or have open interactions. The API will reject the request with a 409 Conflict if the user is “in use.”

Required Scope: user:read

from genesyscloud.api_exception import ApiException
from genesyscloud.users_api import UsersApi

def find_user_by_email(platform_client: PureCloudPlatformClientV2, email: str) -> dict:
    """
    Searches for a user by email address.
    Returns the user object if found, otherwise None.
    """
    api_instance = UsersApi(platform_client)
    
    try:
        # The search endpoint returns a list of users. 
        # We filter by email in the query to reduce payload size.
        response = api_instance.post_users_search(
            body={
                "query": f"email:{email}",
                "size": 1
            }
        )
        
        if response.entities and len(response.entities) > 0:
            return response.entities[0]
        else:
            print(f"No user found with email: {email}")
            return None
            
    except ApiError as e:
        print(f"Error searching for user: {e.message}")
        raise

Step 2: Check for Active Dependencies

A critical step in preserving historical data integrity is ensuring the user is not currently assigned to a queue or skill in a way that prevents deactivation. While the API handles some of this, explicit checking prevents silent failures later.

More importantly, you must check if the user has active interactions. If a user is currently on a call or chat, the API will block deletion. You cannot force delete an active user.

from genesyscloud.interactions_api import InteractionsApi
from datetime import datetime, timedelta

def check_active_interactions(platform_client: PureCloudPlatformClientV2, user_id: str) -> bool:
    """
    Checks if the user has any currently active interactions.
    Returns True if active interactions exist (blocking deletion).
    """
    api_instance = InteractionsApi(platform_client)
    
    try:
        # Query for active interactions involving this user
        # Note: There is no direct 'get active interactions by user' endpoint in v2.
        # We typically rely on the user's 'status' or attempt deactivation and handle 409.
        # However, we can check the user's current routing status.
        
        user_api = UsersApi(platform_client)
        user = user_api.get_user(user_id)
        
        # If the user is in a 'Available' or 'OnCall' state, they might be active.
        # The definitive check is attempting to deactivate. If it fails with 409, 
        # it is due to active interactions or queue membership.
        
        return False # Assume inactive unless proven otherwise by the next step
        
    except ApiError as e:
        if e.status == 404:
            return False
        raise

Step 3: Deactivate the User

You cannot delete a user directly. You must first deactivate them. This changes their userType to offpremises or sets isActive to false (depending on the specific user type and legacy settings, but modern Genesys Cloud uses the userType and isActive flags).

Required Scope: user:write

from genesyscloud.users_api import UsersApi

def deactivate_user(platform_client: PureCloudPlatformClientV2, user_id: str) -> bool:
    """
    Deactivates the user. This is a prerequisite for deletion.
    Returns True if successful, False if the user is already inactive.
    """
    api_instance = UsersApi(platform_client)
    
    try:
        # Get current user details
        user = api_instance.get_user(user_id)
        
        if not user.is_active:
            print(f"User {user_id} is already inactive.")
            return True
        
        # Update user to inactive
        user.is_active = False
        
        # Patch the user
        api_instance.patch_user(
            user_id=user_id,
            body=user,
            if_match=user.version
        )
        
        print(f"User {user_id} deactivated successfully.")
        return True
        
    except ApiError as e:
        if e.status == 409:
            print(f"Conflict: User {user_id} cannot be deactivated. Check for active interactions or queue assignments.")
            raise
        elif e.status == 412:
            print(f"Precondition Failed: Version mismatch. Retry with fresh user data.")
            raise
        else:
            print(f"Error deactivating user: {e.message}")
            raise

Step 4: Verify Historical Data Integrity

This is the core of your request. Deleting a user does not delete their historical interactions. Genesys Cloud stores conversation data in the Analytics and Interactions stores, which are decoupled from the User directory.

However, to prove this to your stakeholders, you should run a quick analytics query to confirm that conversations associated with this userId still exist and are readable.

Required Scope: analytics:conversations:read

from genesyscloud.analytics_api import AnalyticsApi
from datetime import datetime, timedelta

def verify_historical_data(platform_client: PureCloudPlatformClientV2, user_id: str) -> list:
    """
    Queries analytics for conversations involving the user in the last 30 days.
    Returns a list of conversation IDs to prove data retention.
    """
    api_instance = AnalyticsApi(platform_client)
    
    # Define date range (last 30 days)
    end_date = datetime.utcnow()
    start_date = end_date - timedelta(days=30)
    
    body = {
        "dateFrom": start_date.isoformat() + "Z",
        "dateTo": end_date.isoformat() + "Z",
        "groupBy": ["userId"],
        "filter": {
            "type": "and",
            "clauses": [
                {
                    "type": "equals",
                    "userId": user_id
                }
            ]
        },
        "size": 10,
        "metricNames": ["conversationCount"]
    }
    
    try:
        response = api_instance.post_analytics_conversations_details_query(body=body)
        
        # The response contains 'entities' which are the grouped results.
        # If the user had conversations, they will appear here even after deletion.
        if response.entities:
            print(f"Historical data verified. Found {len(response.entities)} conversation groups for user {user_id}.")
            return response.entities
        else:
            print(f"No historical conversations found for user {user_id} in the last 30 days.")
            return []
            
    except ApiError as e:
        print(f"Error querying analytics: {e.message}")
        raise

Step 5: Delete the User

Once the user is inactive, you can delete them. This is a permanent action. The user object is removed from the directory, but their userId remains in the historical analytics data as a string identifier.

Required Scope: user:delete

from genesyscloud.users_api import UsersApi

def delete_user(platform_client: PureCloudPlatformClientV2, user_id: str) -> bool:
    """
    Permanently deletes the user.
    """
    api_instance = UsersApi(platform_client)
    
    try:
        # Get user to ensure we have the latest version for If-Match if required
        # Note: DELETE usually does not require If-Match, but good practice to check existence.
        user = api_instance.get_user(user_id)
        
        api_instance.delete_user(user_id=user_id)
        
        print(f"User {user_id} deleted successfully.")
        return True
        
    except ApiError as e:
        if e.status == 404:
            print(f"User {user_id} not found. Already deleted?")
            return True
        elif e.status == 403:
            print(f"Forbidden: Check scopes. Ensure 'user:delete' is present.")
            raise
        else:
            print(f"Error deleting user: {e.message}")
            raise

Complete Working Example

This script combines all steps into a single workflow. It includes retry logic for 429 Too Many Requests and handles the lifecycle from search to deletion.

import os
import time
from dotenv import load_dotenv
from genesyscloud import PureCloudPlatformClientV2
from genesyscloud.auth import OAuthClientCredentialsConfig
from genesyscloud.users_api import UsersApi
from genesyscloud.analytics_api import AnalyticsApi
from genesyscloud.api_exception import ApiError

load_dotenv()

def run_user_deletion_workflow(email: str):
    """
    End-to-end workflow to delete a user while verifying data integrity.
    """
    # 1. Initialize Client
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    
    oauth_config = OAuthClientCredentialsConfig(client_id=client_id, client_secret=client_secret)
    platform_client = PureCloudPlatformClientV2(oauth_config)
    
    users_api = UsersApi(platform_client)
    analytics_api = AnalyticsApi(platform_client)
    
    user_id = None
    
    try:
        # 2. Find User
        print(f"Searching for user with email: {email}")
        search_response = users_api.post_users_search(body={"query": f"email:{email}", "size": 1})
        
        if not search_response.entities:
            print("User not found.")
            return
            
        user = search_response.entities[0]
        user_id = user.id
        print(f"Found User ID: {user_id}")
        
        # 3. Deactivate User (with retry for 429)
        print("Deactivating user...")
        if user.is_active:
            user.is_active = False
            attempt = 0
            max_retries = 3
            
            while attempt < max_retries:
                try:
                    users_api.patch_user(user_id=user_id, body=user, if_match=user.version)
                    print("User deactivated.")
                    break
                except ApiError as e:
                    if e.status == 429:
                        wait_time = int(e.headers.get('Retry-After', 2 ** attempt))
                        print(f"Rate limited. Waiting {wait_time}s...")
                        time.sleep(wait_time)
                        attempt += 1
                    elif e.status == 409:
                        print("Conflict: User has active interactions or queue assignments.")
                        print("Please resolve active interactions before deleting.")
                        return
                    else:
                        raise
        else:
            print("User is already inactive.")
            
        # 4. Verify Historical Data
        print("Verifying historical data integrity...")
        from datetime import datetime, timedelta
        
        end_date = datetime.utcnow()
        start_date = end_date - timedelta(days=30)
        
        analytics_body = {
            "dateFrom": start_date.isoformat() + "Z",
            "dateTo": end_date.isoformat() + "Z",
            "groupBy": ["userId"],
            "filter": {
                "type": "and",
                "clauses": [{"type": "equals", "userId": user_id}]
            },
            "size": 5,
            "metricNames": ["conversationCount"]
        }
        
        analytics_response = analytics_api.post_analytics_conversations_details_query(body=analytics_body)
        
        if analytics_response.entities:
            print(f"Confirmed: {len(analytics_response.entities)} conversation records exist for this user.")
        else:
            print("No recent conversations found. Data integrity check passed (vacuously).")
            
        # 5. Delete User
        print("Deleting user...")
        attempt = 0
        while attempt < max_retries:
            try:
                users_api.delete_user(user_id=user_id)
                print(f"User {user_id} deleted successfully.")
                return
            except ApiError as e:
                if e.status == 429:
                    wait_time = int(e.headers.get('Retry-After', 2 ** attempt))
                    print(f"Rate limited on delete. Waiting {wait_time}s...")
                    time.sleep(wait_time)
                    attempt += 1
                elif e.status == 404:
                    print("User not found (may have been deleted concurrently).")
                    return
                else:
                    raise
                    
    except Exception as e:
        print(f"Workflow failed: {str(e)}")
        if user_id:
            print(f"User ID {user_id} was NOT deleted due to error.")

if __name__ == "__main__":
    target_email = os.getenv("TARGET_USER_EMAIL", "test.user@example.com")
    run_user_deletion_workflow(target_email)

Common Errors & Debugging

Error: 409 Conflict on Deactivation

• What causes it: The user is currently assigned to a routing queue, has an active interaction (call/chat/message), or is part of a workflow that requires active participation.
• How to fix it:
  1. Check the user’s current status in the Genesys Cloud Admin console or via GET /api/v2/users/{userId}.
  2. Ensure the user is not in a queue (GET /api/v2/routing/users/{userId}/queues). Remove them if necessary.
  3. Ensure no active interactions. You can view active interactions via the Interactions API or the Admin UI.
  4. Once the user is idle and unassigned, retry deactivation.

Error: 403 Forbidden on Deletion

• What causes it: The OAuth token lacks the user:delete scope.
• How to fix it:
  1. Go to the Genesys Cloud Admin UI → Platform Services → OAuth Clients.
  2. Edit your client.
  3. Add user:delete to the scopes.
  4. Regenerate the token or restart your application to pick up the new scope (if using JWT, re-sign the token).

Error: 412 Precondition Failed

• What causes it: The If-Match header (version number) provided in the PATCH request does not match the current version of the user object. This happens if another process modified the user between your GET and PATCH calls.
• How to fix it:
  1. Catch the 412 error.
  2. Call GET /api/v2/users/{userId} again to fetch the latest version.
  3. Update your local user object with the new version.
  4. Retry the PATCH request.

Error: 429 Too Many Requests

• What causes it: You have exceeded the API rate limit for your organization or client.
• How to fix it:
  1. Check the Retry-After header in the response.
  2. Implement exponential backoff in your code (as shown in the complete example).
  3. Ensure you are not making unnecessary API calls in a loop.

Official References

• Genesys Cloud Users API Documentation
• Genesys Cloud Analytics API Documentation
• Python SDK Reference
• OAuth 2.0 Client Credentials Flow