How to Set Up SAML SSO While Maintaining Programmatic OAuth Access

How-To-Articles
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How to Set Up SAML SSO While Maintaining Programmatic OAuth Access

What You Will Build

  • One sentence: You will configure a Genesys Cloud organization to use SAML for human user login while retaining a dedicated OAuth client for server-to-server API automation.
  • One sentence: This tutorial uses the Genesys Cloud REST API and the Python SDK (purecloudplatformclientv2) to demonstrate token acquisition for both flows.
  • One sentence: The primary implementation language is Python, with reference to JavaScript/Node.js for comparison.

Prerequisites

  • OAuth Client Type: You need two distinct credentials:
    1. A SAML Identity Provider (IdP) configuration (e.g., Okta, Azure AD, OneLogin) with a valid metadata XML or endpoint URLs.
    2. A Genesys Cloud OAuth Client with confidential access type and specific API scopes (e.g., analytics:reports:view, user:read).
  • SDK Version: purecloudplatformclientv2 >= 120.0.0 (Python) or @genesyscloud/platform-client-sdk (Node.js).
  • Language/Runtime: Python 3.9+ or Node.js 18+.
  • External Dependencies:
    • Python: pip install purecloudplatformclientv2 requests python-dotenv
    • Node.js: npm install @genesyscloud/platform-client-sdk dotenv
  • Admin Access: You must have Organization Admin or Identity Provider Admin permissions to configure SAML. You must have API Client Admin permissions to create OAuth clients.

Authentication Setup

The core architectural principle here is separation of concerns. SAML handles human authentication (browser-based, session cookies, MFA). OAuth handles machine authentication (client credentials, long-lived tokens, no MFA). Configuring SAML does not break OAuth, but it does change how you obtain tokens for the human flow. For programmatic access, you ignore SAML entirely and use the OAuth client directly.

Step 1: Configure the SAML Identity Provider (Conceptual API Context)

While SAML configuration is primarily done via the Admin Console, the underlying structure relies on the /api/v2/identityproviders endpoint. You are essentially mapping a SAML IdP to your Genesys Cloud domain.

Critical Configuration Details:

  1. Entity ID: This is your Genesys Cloud domain URL (e.g., https://api.mypurecloud.com).
  2. ACS URL (Assertion Consumer Service): This must be https://login.mypurecloud.com/saml/acs.
  3. NameID Format: Use urn:oasis:names:tc:SAML:1.1:nameid-format:emailAddress. This ensures Genesys Cloud identifies users by their email.

Common Pitfall: Do not use the same OAuth client ID for SAML. SAML uses the IdP’s metadata. OAuth uses a Genesys Cloud-generated client_id and client_secret.

Step 2: Create a Dedicated OAuth Client for Programmatic Access

To ensure your scripts continue to work after enabling SAML, you must create an OAuth client that is not tied to the SAML flow. This client will use the Client Credentials Grant flow.

  1. Navigate to Admin > Security > API Clients.
  2. Click Add API Client.
  3. Name: Automation Service Account.
  4. Access Type: Confidential.
  5. Grant Type: Client Credentials (This is critical. Do not select “Authorization Code” or “Implicit”).
  6. Scopes: Add only the specific scopes your automation needs (e.g., analytics:reports:view, conversation:transcript:view). Avoid offline scope unless necessary for refresh tokens, as Client Credentials tokens expire in 3600 seconds and cannot be refreshed in the same way as user tokens.
  7. Save and copy the Client ID and Client Secret.

Step 3: Implementing OAuth Client Credentials Flow (Python)

This code demonstrates how to acquire a token using the dedicated OAuth client. This flow is unaffected by SAML settings.

import os
import requests
from purecloudplatformclientv2 import ApiClient, Configuration, AnalyticsApi, ApiException
from dotenv import load_dotenv

load_dotenv()

# Configuration from environment variables
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
ENVIRONMENT = os.getenv("GENESYS_ENVIRONMENT", "mypurecloud.com")

def get_oauth_token():
    """
    Acquires an OAuth token using the Client Credentials Grant.
    This flow does not involve SAML or user interaction.
    """
    url = f"https://login.{ENVIRONMENT}/oauth/token"
    
    # The request body for Client Credentials Grant
    payload = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET,
        "scope": "analytics:reports:view user:read" # Scopes must match the API Client setup
    }
    
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    
    try:
        response = requests.post(url, headers=headers, data=payload)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as e:
        print(f"OAuth Token Request Failed: {e.response.status_code} - {e.response.text}")
        raise

# Initialize the SDK with the token
def initialize_sdk():
    token_data = get_oauth_token()
    access_token = token_data.get("access_token")
    
    if not access_token:
        raise ValueError("Failed to retrieve access token from OAuth response.")

    # Configure the SDK client
    configuration = Configuration()
    configuration.host = f"https://api.{ENVIRONMENT}"
    configuration.access_token = access_token
    
    # Create the API client instance
    api_client = ApiClient(configuration)
    return api_client

if __name__ == "__main__":
    try:
        client = initialize_sdk()
        print("SDK Initialized Successfully with OAuth Token.")
        # Proceed to API calls
    except Exception as e:
        print(f"Initialization Error: {e}")

Expected Response:

{
  "access_token": "eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...",
  "token_type": "Bearer",
  "expires_in": 3600,
  "scope": "analytics:reports:view user:read"
}

Step 4: Making an API Call with the SDK

Now that the SDK is initialized, you can make calls. Note that the SDK handles the token insertion automatically.

def fetch_user_details(api_client):
    """
    Fetches details for the first 10 users.
    Requires 'user:read' scope.
    """
    analytics_api = AnalyticsApi(api_client)
    
    try:
        # Example: Get a list of users
        # Note: UserApi is better for user details, but AnalyticsApi is used here to demonstrate scope usage
        from purecloudplatformclientv2 import UsersApi
        
        users_api = UsersApi(api_client)
        
        # Pagination parameters
        response = users_api.post_users_list(
            body={
                "page_size": 10,
                "page_number": 1
            }
        )
        
        print(f"Retrieved {len(response.entities)} users.")
        for user in response.entities:
            print(f"User: {user.name} (ID: {user.id})")
            
    except ApiException as e:
        print(f"API Call Failed: Status {e.status}")
        print(f"Reason: {e.reason}")
        print(f"Response Body: {e.body}")

# Usage
if __name__ == "__main__":
    try:
        client = initialize_sdk()
        fetch_user_details(client)
    except Exception as e:
        print(f"Critical Error: {e}")

Complete Working Example

Below is a complete, runnable Python script that encapsulates the token acquisition, SDK initialization, and a sample API call. It includes retry logic for 429 (Too Many Requests) errors, which are common in Genesys Cloud APIs.

import os
import time
import requests
from purecloudplatformclientv2 import (
    ApiClient, 
    Configuration, 
    UsersApi, 
    ApiException,
    PostUsersListRequest
)
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

# --- Configuration ---
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
ENVIRONMENT = os.getenv("GENESYS_ENVIRONMENT", "mypurecloud.com")

class GenesysClient:
    def __init__(self):
        self.environment = ENVIRONMENT
        self.base_url = f"https://login.{self.environment}"
        self.api_base = f"https://api.{self.environment}"
        self.api_client = None
        self.access_token = None
        self.token_expiry = 0

    def get_oauth_token(self):
        """
        Acquires an OAuth token using the Client Credentials Grant.
        Implements basic retry logic for 429 errors.
        """
        url = f"{self.base_url}/oauth/token"
        
        payload = {
            "grant_type": "client_credentials",
            "client_id": CLIENT_ID,
            "client_secret": CLIENT_SECRET,
            "scope": "user:read"
        }
        
        headers = {
            "Content-Type": "application/x-www-form-urlencoded"
        }
        
        max_retries = 3
        for attempt in range(max_retries):
            try:
                response = requests.post(url, headers=headers, data=payload)
                
                if response.status_code == 429:
                    retry_after = int(response.headers.get('Retry-After', 5))
                    print(f"Rate limited. Retrying in {retry_after} seconds...")
                    time.sleep(retry_after)
                    continue
                
                response.raise_for_status()
                data = response.json()
                
                self.access_token = data.get("access_token")
                self.token_expiry = time.time() + data.get("expires_in", 3600)
                
                return self.access_token
                
            except requests.exceptions.HTTPError as e:
                if e.response.status_code != 429:
                    raise ValueError(f"OAuth Token Request Failed: {e.response.text}")
                    
        raise ValueError("Max retries exceeded for OAuth token request.")

    def initialize_sdk(self):
        """
        Initializes the PureCloud SDK with the current access token.
        """
        if not self.access_token or time.time() >= self.token_expiry:
            self.get_oauth_token()
            
        configuration = Configuration()
        configuration.host = self.api_base
        configuration.access_token = self.access_token
        
        self.api_client = ApiClient(configuration)
        return self.api_client

    def fetch_users(self, page_size=10):
        """
        Fetches a list of users.
        """
        if not self.api_client:
            self.initialize_sdk()
            
        users_api = UsersApi(self.api_client)
        
        try:
            # Construct the request body
            body = PostUsersListRequest(
                page_size=page_size,
                page_number=1
            )
            
            response = users_api.post_users_list(body=body)
            
            return response.entities
            
        except ApiException as e:
            if e.status == 401:
                print("Token expired. Refreshing...")
                self.get_oauth_token()
                self.initialize_sdk()
                # Retry once
                return self.fetch_users(page_size)
            else:
                raise

# --- Main Execution ---
if __name__ == "__main__":
    if not CLIENT_ID or not CLIENT_SECRET:
        raise EnvironmentError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set in .env")

    try:
        genesys = GenesysClient()
        users = genesys.fetch_users(page_size=5)
        
        print(f"Successfully fetched {len(users)} users:")
        for user in users:
            print(f"- {user.name} ({user.email})")
            
    except Exception as e:
        print(f"Application Error: {e}")

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: The OAuth client credentials are invalid, the client has been disabled, or the token has expired.
  • Fix: Verify CLIENT_ID and CLIENT_SECRET in your .env file. Check the API Client status in the Admin Console (ensure it is not “Disabled”). If using a long-running script, implement token refresh logic (as shown in the GenesysClient class above).

Error: 403 Forbidden

  • Cause: The OAuth client lacks the required scope for the API endpoint.
  • Fix: Check the required scope for the endpoint in the Genesys Cloud API Documentation. Add the scope to the API Client in the Admin Console. Note: Changes to scopes take effect immediately for new tokens, but existing tokens must be regenerated.

Error: 429 Too Many Requests

  • Cause: You have exceeded the rate limit for the API endpoint or the organization.
  • Fix: Implement exponential backoff. The Genesys Cloud API returns a Retry-After header. Always respect this header. The GenesysClient example above demonstrates a simple retry loop.

Error: 500 Internal Server Error

  • Cause: A transient server error.
  • Fix: Retry the request after a short delay (1-5 seconds). If the error persists, check the Genesys Cloud Status Page for ongoing incidents.

Official References