How to Configure SAML SSO Without Breaking Your OAuth API Integrations

How-To-Articles
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How to Configure SAML SSO Without Breaking Your OAuth API Integrations

What You Will Build

  • A Python script that authenticates via a standard OAuth Client Credentials flow, proving that SAML SSO configuration does not disable programmatic access.
  • This tutorial uses the Genesys Cloud CX REST API and the genesyscloud Python SDK.
  • The code demonstrates how to isolate human SSO login flows from machine-to-machine API authentication.

Prerequisites

  • Genesys Cloud Organization: You must have Admin privileges to configure SSO and create API credentials.
  • OAuth Client Type: A confidential client (Client ID and Client Secret) created in the Admin Console.
  • Required Scopes: analytics:conversation:view and user:login (for user context) or agent:interaction:access depending on the API call. For this tutorial, we use analytics:conversation:view to query conversation data.
  • SDK Version: genesyscloud Python SDK version 120.0.0 or later.
  • Runtime: Python 3.9 or later.
  • Dependencies: genesyscloud, python-dotenv.

Authentication Setup

The core misunderstanding developers face is assuming that enabling SAML 2.0 Single Sign-On (SSO) for their organization disables the standard OAuth 2.0 token endpoint. It does not. SAML SSO governs how humans authenticate via a browser. OAuth Client Credentials governs how applications authenticate via an API call.

To verify this separation, you must first ensure your organization has SSO enabled, and then create a dedicated OAuth client for your script.

Step 1: Configure SSO in Admin Console (Context Only)

While this tutorial is code-focused, you must understand that SSO is configured in Admin > Security > Single Sign On. When you enable this, users are redirected to their Identity Provider (IdP) like Okta, Azure AD, or OneLogin. This change affects the /login endpoint for browser-based sessions. It does not affect the /oauth/token endpoint used by confidential clients.

Step 2: Create an OAuth Client for Programmatic Access

You need a confidential client to run the code below.

  1. Navigate to Admin > Security > OAuth.
  2. Click Add Client.
  3. Set Client Type to confidential.
  4. Set Allowed Grant Types to client_credentials.
  5. Add the necessary scopes (e.g., analytics:conversation:view).
  6. Save and copy the Client ID and Client Secret.

Step 3: Install Dependencies

Run the following command to install the Genesys Cloud Python SDK and environment variable handler:

pip install genesyscloud python-dotenv

Create a .env file in your project root with your credentials:

GENESYS_CLIENT_ID=your_client_id_here
GENESYS_CLIENT_SECRET=your_client_secret_here
GENESYS_REGION=us-east-1

Implementation

Step 1: Initialize the Platform Client with OAuth Credentials

The genesyscloud SDK handles the OAuth token exchange internally. You do not need to manually call the /oauth/token endpoint unless you are debugging the raw HTTP flow. The SDK uses the client_credentials grant type to fetch a short-lived access token.

Create a file named sso_api_test.py.

import os
from dotenv import load_dotenv
from genesyscloud import Configuration, PlatformApi, ApiClient, ApiException

# Load environment variables
load_dotenv()

def get_platform_client():
    """
    Initializes the Genesys Cloud Platform Client using OAuth Client Credentials.
    This works regardless of whether SSO is enabled for the organization.
    """
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    region = os.getenv("GENESYS_REGION", "us-east-1")

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

    # Construct the base URL based on region
    if region == "us-east-1":
        base_url = "https://api.mypurecloud.com"
    elif region == "us-east-2":
        base_url = "https://api.us-east-2.mypurecloud.com"
    elif region == "eu-west-1":
        base_url = "https://api.eu-west-1.mypurecloud.com"
    else:
        raise ValueError(f"Unsupported region: {region}")

    # Configure the SDK
    configuration = Configuration()
    configuration.host = base_url
    configuration.access_token_client_id = client_id
    configuration.access_token_client_secret = client_secret
    
    # Optional: Set debug mode to True to see the underlying HTTP requests
    # configuration.debug = True

    return PlatformApi(ApiClient(configuration))

if __name__ == "__main__":
    try:
        client = get_platform_client()
        print("Platform Client initialized successfully.")
        print(f"OAuth Token acquired for client: {client.api_client.configuration.access_token_client_id}")
    except Exception as e:
        print(f"Failed to initialize client: {e}")

Why this works:
The Configuration object in the SDK stores the access_token_client_id and access_token_client_secret. When the first API call is made, the SDK automatically sends these credentials to https://api.mypurecloud.com/oauth/token with the grant type client_credentials. This endpoint is independent of the SAML SSO configuration. SAML SSO only modifies the behavior of interactive login flows (Password Grant or Authorization Code Grant with user interaction).

Step 2: Make an API Call to Verify Access

To prove the authentication is working, we will query the Analytics API. This requires the analytics:conversation:view scope. We will fetch the last 5 conversation details.

Add the following function to sso_api_test.py:

from genesyscloud import AnalyticsApi
from datetime import datetime, timedelta

def fetch_recent_conversations(platform_client: PlatformApi, count: int = 5):
    """
    Fetches recent conversation details using the Analytics API.
    This requires the 'analytics:conversation:view' scope.
    """
    analytics_api = AnalyticsApi(platform_client.api_client)
    
    # Define the query body
    # We query for conversations in the last hour
    end_time = datetime.utcnow()
    start_time = end_time - timedelta(hours=1)
    
    query_body = {
        "interval": "15min",
        "startDate": start_time.isoformat(),
        "endDate": end_time.isoformat(),
        "size": count,
        "filter": {
            "type": "or",
            "clauses": [
                {
                    "type": "and",
                    "clauses": [
                        {"type": "equals", "field": "wrapupcode", "values": ["complete"]}
                    ]
                }
            ]
        },
        "groupBy": ["channel"],
        "metrics": ["handleTime"],
        "sort": [{"field": "startTime", "direction": "desc"}]
    }

    try:
        # Call the API
        response = analytics_api.post_analytics_conversations_details_query(body=query_body)
        
        print(f"Successfully fetched {len(response.entities)} conversations.")
        for entity in response.entities:
            print(f"  - ID: {entity.conversationId}, Channel: {entity.channel}, Handle Time: {entity.metrics[0].value}")
            
        return response
    except ApiException as e:
        print(f"Exception when calling AnalyticsApi->post_analytics_conversations_details_query: {e}")
        raise

Error Handling:
If you receive a 401 Unauthorized error here, it is not because SSO is enabled. It is because:

  1. The GENESYS_CLIENT_ID or GENESYS_CLIENT_SECRET is incorrect.
  2. The OAuth Client was deleted or disabled in Admin.
  3. The token expired and the SDK failed to refresh (rare in single-script runs, common in long-running services).

If you receive a 403 Forbidden error, it is because the OAuth Client does not have the analytics:conversation:view scope assigned. Check Admin > Security > OAuth > [Your Client] > Scopes.

Step 3: Handling Token Refresh in Long-Running Processes

OAuth tokens in Genesys Cloud expire after 60 minutes (3600 seconds). If your application runs longer than this, you must handle token refresh. The genesyscloud SDK handles this automatically for you.

However, if you are using raw HTTP requests (e.g., requests library), you must implement retry logic for 401 responses.

Here is how to implement a manual retry loop if you were not using the SDK:

import requests
import time

def get_access_token_raw(client_id: str, client_secret: str, region: str = "us-east-1") -> str:
    """
    Manually fetches an OAuth token using the requests library.
    Demonstrates the raw HTTP flow.
    """
    if region == "us-east-1":
        base_url = "https://api.mypurecloud.com"
    else:
        raise ValueError("Only us-east-1 supported in this example")
        
    token_url = f"{base_url}/oauth/token"
    
    payload = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }
    
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    
    response = requests.post(token_url, data=payload, headers=headers)
    
    if response.status_code == 200:
        token_data = response.json()
        return token_data["access_token"]
    else:
        raise Exception(f"Failed to get token: {response.status_code} - {response.text}")

def make_api_call_with_retry(access_token: str, base_url: str, path: str, max_retries: int = 3):
    """
    Makes an API call with retry logic for 401 errors (Token Expired).
    """
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "application/json"
    }
    
    for attempt in range(max_retries):
        try:
            response = requests.get(f"{base_url}{path}", headers=headers)
            
            if response.status_code == 401:
                # Token expired, re-fetch token
                print("Token expired, refreshing...")
                # Note: In a real app, you would re-call get_access_token_raw here
                # For this example, we just break and raise
                raise Exception("Token expired and refresh logic not implemented in this snippet")
            
            response.raise_for_status()
            return response.json()
            
        except requests.exceptions.RequestException as e:
            if attempt == max_retries - 1:
                raise e
            time.sleep(2 ** attempt) # Exponential backoff

Key Insight:
The SDK (genesyscloud) wraps this retry logic internally. When the SDK detects a 401, it automatically calls the /oauth/token endpoint again with the stored client credentials and retries the original API call. This is why using the SDK is recommended for most applications.

Complete Working Example

Here is the complete, copy-pasteable script. Save this as main.py.

import os
from dotenv import load_dotenv
from genesyscloud import Configuration, PlatformApi, ApiClient, ApiException, AnalyticsApi
from datetime import datetime, timedelta

# Load environment variables from .env file
load_dotenv()

def get_platform_client() -> PlatformApi:
    """
    Initializes the Genesys Cloud Platform Client using OAuth Client Credentials.
    This authentication method works independently of SSO settings.
    """
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    region = os.getenv("GENESYS_REGION", "us-east-1")

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

    # Determine base URL based on region
    region_map = {
        "us-east-1": "https://api.mypurecloud.com",
        "us-east-2": "https://api.us-east-2.mypurecloud.com",
        "eu-west-1": "https://api.eu-west-1.mypurecloud.com",
        "ap-southeast-2": "https://api.ap-southeast-2.mypurecloud.com"
    }

    if region not in region_map:
        raise ValueError(f"Unsupported region: {region}. Supported: {list(region_map.keys())}")

    base_url = region_map[region]

    # Configure the SDK
    configuration = Configuration()
    configuration.host = base_url
    configuration.access_token_client_id = client_id
    configuration.access_token_client_secret = client_secret
    
    # Enable debug logging to see OAuth token exchange
    # configuration.debug = True

    return PlatformApi(ApiClient(configuration))

def fetch_recent_conversations(platform_client: PlatformApi, count: int = 5):
    """
    Fetches recent conversation details using the Analytics API.
    Requires 'analytics:conversation:view' scope.
    """
    analytics_api = AnalyticsApi(platform_client.api_client)
    
    # Define query parameters
    end_time = datetime.utcnow()
    start_time = end_time - timedelta(hours=1)
    
    query_body = {
        "interval": "15min",
        "startDate": start_time.isoformat(),
        "endDate": end_time.isoformat(),
        "size": count,
        "filter": {
            "type": "or",
            "clauses": [
                {
                    "type": "and",
                    "clauses": [
                        {"type": "equals", "field": "wrapupcode", "values": ["complete"]}
                    ]
                }
            ]
        },
        "groupBy": ["channel"],
        "metrics": ["handleTime"],
        "sort": [{"field": "startTime", "direction": "desc"}]
    }

    try:
        # Execute the API call
        # The SDK automatically handles OAuth token acquisition and refresh
        response = analytics_api.post_analytics_conversations_details_query(body=query_body)
        
        print(f"Successfully fetched {len(response.entities)} conversations.")
        if response.entities:
            for entity in response.entities:
                channel = entity.channel
                conv_id = entity.conversationId
                metrics = entity.metrics
                handle_time = metrics[0].value if metrics else 0
                
                print(f"  - ID: {conv_id}, Channel: {channel}, Handle Time: {handle_time}")
        else:
            print("  - No conversations found in the last hour.")
            
        return response
    except ApiException as e:
        print(f"Exception when calling AnalyticsApi->post_analytics_conversations_details_query: {e}")
        print(f"Status Code: {e.status}")
        print(f"Reason: {e.reason}")
        print(f"Body: {e.body}")
        raise

def main():
    try:
        print("Initializing Genesys Cloud Client...")
        client = get_platform_client()
        
        print("Authentication successful via OAuth Client Credentials.")
        print("Note: This works even if SSO is enabled for the organization.")
        print("-" * 50)
        
        print("Fetching recent conversations...")
        fetch_recent_conversations(client, count=5)
        
    except ValueError as ve:
        print(f"Configuration Error: {ve}")
    except ApiException as ae:
        print(f"API Error: {ae}")
    except Exception as e:
        print(f"Unexpected Error: {e}")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

What causes it:
The OAuth token could not be generated. This is usually due to invalid Client ID/Secret or the client being disabled.

How to fix it:

  1. Verify the GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET in your .env file match the values in Admin > Security > OAuth.
  2. Ensure the OAuth Client status is Active.
  3. Check that the region in your code matches the region where the OAuth client was created. OAuth clients are region-specific.

Code Fix:
Ensure your .env file has no trailing spaces in the values.

# Incorrect
GENESYS_CLIENT_ID=abc123 
# Correct
GENESYS_CLIENT_ID=abc123

Error: 403 Forbidden

What causes it:
The OAuth client does not have the required scope for the API endpoint. For post_analytics_conversations_details_query, you need analytics:conversation:view.

How to fix it:

  1. Go to Admin > Security > OAuth.
  2. Click on your Client ID.
  3. Scroll to Scopes.
  4. Search for analytics:conversation:view and check the box.
  5. Save changes. Note: Scope changes may take up to 15 minutes to propagate.

Error: 429 Too Many Requests

What causes it:
You have exceeded the rate limit for the API endpoint. Genesys Cloud uses sliding window rate limits.

How to fix it:
Implement exponential backoff. The SDK does not automatically retry 429s, so you must handle it in your application logic.

Code Fix:
Wrap your API call in a retry loop:

import time

def call_with_retry(func, *args, max_retries=3, **kwargs):
    for attempt in range(max_retries):
        try:
            return func(*args, **kwargs)
        except ApiException as e:
            if e.status == 429:
                wait_time = 2 ** attempt
                print(f"Rate limited. Retrying in {wait_time} seconds...")
                time.sleep(wait_time)
            else:
                raise
    raise Exception("Max retries exceeded")

Error: SSO Redirect Loop (Browser Only)

What causes it:
This error occurs only when a human tries to log in via the browser. It is irrelevant to API access. If your API script fails, it is not due to SSO redirect loops.

How to fix it:
This is an Admin configuration issue in the IdP (Okta/Azure). Ensure the SAML Assertion Consumer Service (ACS) URL matches the Genesys Cloud SSO configuration. This does not affect the client_credentials OAuth flow.

Official References