How to generate a long-lived API token for a CI/CD pipeline

How to generate a long-lived API token for a CI/CD pipeline

What You Will Build

  • A script that authenticates with Genesys Cloud using the OAuth2 Client Credentials Grant to obtain an access token.
  • This tutorial uses the Genesys Cloud REST API via the requests library in Python.
  • The primary language is Python, with concepts applicable to any HTTP-capable language.

Prerequisites

  • OAuth Client Type: You must create an OAuth Client in the Genesys Cloud Admin Portal. The client type must be Confidential (or “Public” if using PKCE, but Client Credentials is standard for CI/CD).
  • Required Scopes: The specific scopes depend on your API usage (e.g., analytics:conversation:view, user:read). For this tutorial, we will request a broad set or specific scopes relevant to your pipeline.
  • SDK Version: This example uses raw HTTP requests, which are version-agnostic for the authentication endpoint. If using the Python SDK, ensure genesyscloud version 130.0.0 or higher.
  • Language/Runtime: Python 3.8+.
  • External Dependencies: pip install requests

Authentication Setup

The standard OAuth2 Authorization Code flow is unsuitable for CI/CD pipelines because it requires interactive user consent. Instead, you must use the Client Credentials Grant. This flow allows a machine (your CI/CD agent) to authenticate directly with the authorization server using a Client ID and Client Secret.

The resulting access token is short-lived (typically 1 hour). To maintain a “long-lived” session in a pipeline, your script must handle token expiration and refresh logic automatically.

Step 1: Configure the OAuth Client

Before writing code, you must configure the identity provider in Genesys Cloud.

  1. Log in to the Genesys Cloud Admin Portal.
  2. Navigate to Admin > Security > OAuth Clients.
  3. Click Add Client.
  4. Enter a name (e.g., CI-CD-Pipeline-Bot).
  5. Set the Client Type to Confidential.
  6. Copy the Client ID and Client Secret. Store these securely in your CI/CD environment variables (e.g., GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET).
  7. Define the Scopes. For a read-only analytics pipeline, you might add analytics:conversation:view and user:read.

Step 2: Implement the Token Request

The authentication endpoint for Genesys Cloud is https://api.mypurecloud.com/oauth/token. You must send a POST request with application/x-www-form-urlencoded content.

Here is the working Python code to fetch the initial token.

import requests
import os
import time
from datetime import datetime, timedelta
from typing import Optional, Tuple

# Configuration from Environment Variables
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
BASE_URL = "https://api.mypurecloud.com"
AUTH_URL = f"{BASE_URL}/oauth/token"

class GenesysAuthenticator:
    def __init__(self, client_id: str, client_secret: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.access_token: Optional[str] = None
        self.expires_at: Optional[datetime] = None
        self.token_type: str = "Bearer"

    def get_access_token(self) -> str:
        """
        Returns a valid access token.
        If the current token is expired or missing, it fetches a new one.
        """
        # Check if we have a valid token
        if self.is_token_valid():
            return self.access_token

        # Token is missing or expired, fetch a new one
        self._fetch_new_token()
        return self.access_token

    def is_token_valid(self) -> bool:
        """
        Checks if the current token exists and has not expired.
        We subtract 5 minutes as a buffer to prevent race conditions during API calls.
        """
        if not self.access_token or not self.expires_at:
            return False
        
        # Buffer time: 5 minutes
        buffer = timedelta(minutes=5)
        return datetime.utcnow() < (self.expires_at - buffer)

    def _fetch_new_token(self) -> None:
        """
        Performs the OAuth2 Client Credentials Grant flow.
        """
        if not self.client_id or not self.client_secret:
            raise ValueError("Client ID and Client Secret must be provided via environment variables.")

        # The payload for Client Credentials Grant
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }

        headers = {
            "Content-Type": "application/x-www-form-urlencoded"
        }

        try:
            # Send the request
            response = requests.post(AUTH_URL, data=payload, headers=headers, timeout=10)
            
            # Raise exception for HTTP errors (4xx, 5xx)
            response.raise_for_status()
            
            # Parse the JSON response
            data = response.json()
            
            # Extract token details
            self.access_token = data["access_token"]
            self.token_type = data.get("token_type", "Bearer")
            
            # Calculate expiration time
            # expires_in is returned in seconds
            expires_in = int(data["expires_in"])
            self.expires_at = datetime.utcnow() + timedelta(seconds=expires_in)
            
            print(f"Token acquired. Expires in {expires_in} seconds.")

        except requests.exceptions.HTTPError as http_err:
            if response.status_code == 401:
                raise Exception("Authentication failed. Check Client ID and Client Secret.") from http_err
            elif response.status_code == 403:
                raise Exception("Authentication forbidden. Check OAuth Client configuration.") from http_err
            else:
                raise Exception(f"HTTP error occurred: {http_err}") from http_err
        except requests.exceptions.RequestException as req_err:
            raise Exception(f"Network error occurred: {req_err}") from req_err
        except KeyError as key_err:
            raise Exception(f"Unexpected response format. Missing key: {key_err}") from key_err
        except ValueError as val_err:
            raise Exception(f"Invalid JSON response: {val_err}") from val_err

# Usage Example
if __name__ == "__main__":
    auth = GenesysAuthenticator(CLIENT_ID, CLIENT_SECRET)
    token = auth.get_access_token()
    print(f"Current Token: {token[:10]}...")

Step 3: Implementing Retry Logic for Rate Limits

CI/CD pipelines often fail due to transient 429 (Too Many Requests) errors. Genesys Cloud uses a sliding window rate limiter. You must implement exponential backoff in your API client wrapper.

Below is a helper function that wraps API calls with retry logic.

import requests
import time
import random

def make_api_call_with_retry(url: str, method: str = "GET", headers: dict = None, data: dict = None, max_retries: int = 3) -> requests.Response:
    """
    Makes an HTTP request with exponential backoff retry logic for 429 and 5xx errors.
    
    Args:
        url: The full URL of the API endpoint.
        method: HTTP method (GET, POST, etc.).
        headers: Dictionary of headers.
        data: Dictionary of body data.
        max_retries: Maximum number of retry attempts.
        
    Returns:
        requests.Response object.
    """
    if headers is None:
        headers = {}
        
    for attempt in range(max_retries + 1):
        try:
            # Add standard headers if not present
            if "Content-Type" not in headers and method in ["POST", "PUT", "PATCH"]:
                headers["Content-Type"] = "application/json"
                
            response = requests.request(method, url, headers=headers, json=data, timeout=30)
            
            # Success or client error (4xx) - do not retry
            if response.status_code < 400 or response.status_code < 500:
                return response
            
            # Retryable server error (5xx) or Rate Limit (429)
            if response.status_code in [429, 500, 502, 503, 504]:
                if attempt < max_retries:
                    # Calculate backoff time: 2^attempt + random jitter
                    wait_time = (2 ** attempt) + random.uniform(0, 1)
                    print(f"Received status {response.status_code}. Retrying in {wait_time:.2f} seconds...")
                    time.sleep(wait_time)
                    continue
                else:
                    raise Exception(f"Max retries exceeded for {url}. Status: {response.status_code}")
            
            # Non-retryable error
            response.raise_for_status()
            
        except requests.exceptions.RequestException as e:
            if attempt < max_retries:
                wait_time = (2 ** attempt) + random.uniform(0, 1)
                print(f"Request failed: {e}. Retrying in {wait_time:.2f} seconds...")
                time.sleep(wait_time)
            else:
                raise Exception(f"Max retries exceeded due to network error: {e}")
                
    return None

Step 4: Consuming the API

Now, combine the authentication and retry logic to call a real Genesys Cloud API. We will query the Users API to list users, which requires the user:read scope.

def get_users(auth: GenesysAuthenticator, page: int = 1, page_size: int = 25) -> list:
    """
    Fetches a list of users from Genesys Cloud.
    """
    # 1. Get a valid token
    token = auth.get_access_token()
    
    # 2. Set up headers
    headers = {
        "Authorization": f"{auth.token_type} {token}",
        "Content-Type": "application/json"
    }
    
    # 3. Define the endpoint
    url = f"{BASE_URL}/api/v2/users"
    
    # 4. Make the request with retry logic
    # Note: requests.request supports params for query strings
    params = {
        "pageSize": page_size,
        "pageNumber": page
    }
    
    response = make_api_call_with_retry(url, method="GET", headers=headers, params=params)
    
    # 5. Handle response
    if response.status_code == 200:
        data = response.json()
        entities = data.get("entities", [])
        print(f"Retrieved {len(entities)} users.")
        return entities
    elif response.status_code == 401:
        # Token might have expired during the retry window or scope issue
        print("401 Unauthorized. Refreshing token and retrying once.")
        auth._fetch_new_token()
        # Retry one more time with new token
        new_token = auth.access_token
        headers["Authorization"] = f"{auth.token_type} {new_token}"
        response = make_api_call_with_retry(url, method="GET", headers=headers, params=params)
        if response.status_code == 200:
            return response.json().get("entities", [])
        else:
            raise Exception(f"Retry failed with status {response.status_code}")
    else:
        raise Exception(f"Failed to fetch users. Status: {response.status_code}, Body: {response.text}")

# Run the example
if __name__ == "__main__":
    auth = GenesysAuthenticator(CLIENT_ID, CLIENT_SECRET)
    users = get_users(auth)
    for user in users[:3]:
        print(f"User: {user['name']} (ID: {user['id']})")

Complete Working Example

Below is the complete, self-contained Python script. Save this as genesys_ci_cd_auth.py. Ensure you have set the GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables before running.

import requests
import os
import time
import random
from datetime import datetime, timedelta
from typing import Optional, List, Dict, Any

# ==============================================================================
# Configuration
# ==============================================================================
CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")
BASE_URL = "https://api.mypurecloud.com"
AUTH_URL = f"{BASE_URL}/oauth/token"

# ==============================================================================
# Authentication Module
# ==============================================================================
class GenesysAuthenticator:
    def __init__(self, client_id: str, client_secret: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.access_token: Optional[str] = None
        self.expires_at: Optional[datetime] = None
        self.token_type: str = "Bearer"

    def get_access_token(self) -> str:
        """
        Returns a valid access token.
        If the current token is expired or missing, it fetches a new one.
        """
        if self.is_token_valid():
            return self.access_token

        self._fetch_new_token()
        return self.access_token

    def is_token_valid(self) -> bool:
        """
        Checks if the current token exists and has not expired.
        Includes a 5-minute buffer to prevent race conditions.
        """
        if not self.access_token or not self.expires_at:
            return False
        
        buffer = timedelta(minutes=5)
        return datetime.utcnow() < (self.expires_at - buffer)

    def _fetch_new_token(self) -> None:
        """
        Performs the OAuth2 Client Credentials Grant flow.
        """
        if not self.client_id or not self.client_secret:
            raise ValueError("Client ID and Client Secret must be provided via environment variables.")

        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }

        headers = {
            "Content-Type": "application/x-www-form-urlencoded"
        }

        try:
            response = requests.post(AUTH_URL, data=payload, headers=headers, timeout=10)
            response.raise_for_status()
            
            data = response.json()
            self.access_token = data["access_token"]
            self.token_type = data.get("token_type", "Bearer")
            
            expires_in = int(data["expires_in"])
            self.expires_at = datetime.utcnow() + timedelta(seconds=expires_in)
            
        except requests.exceptions.HTTPError as http_err:
            if response.status_code == 401:
                raise Exception("Authentication failed. Check Client ID and Client Secret.") from http_err
            elif response.status_code == 403:
                raise Exception("Authentication forbidden. Check OAuth Client configuration.") from http_err
            else:
                raise Exception(f"HTTP error occurred: {http_err}") from http_err
        except requests.exceptions.RequestException as req_err:
            raise Exception(f"Network error occurred: {req_err}") from req_err
        except KeyError as key_err:
            raise Exception(f"Unexpected response format. Missing key: {key_err}") from key_err

# ==============================================================================
# HTTP Client with Retry Logic
# ==============================================================================
def make_api_call_with_retry(
    url: str, 
    method: str = "GET", 
    headers: Optional[Dict[str, str]] = None, 
    params: Optional[Dict[str, Any]] = None, 
    data: Optional[Dict[str, Any]] = None, 
    max_retries: int = 3
) -> requests.Response:
    """
    Makes an HTTP request with exponential backoff retry logic for 429 and 5xx errors.
    """
    if headers is None:
        headers = {}
        
    for attempt in range(max_retries + 1):
        try:
            if "Content-Type" not in headers and method in ["POST", "PUT", "PATCH"]:
                headers["Content-Type"] = "application/json"
                
            response = requests.request(method, url, headers=headers, params=params, json=data, timeout=30)
            
            if response.status_code < 500 and response.status_code != 429:
                return response
            
            if response.status_code in [429, 500, 502, 503, 504]:
                if attempt < max_retries:
                    wait_time = (2 ** attempt) + random.uniform(0, 1)
                    print(f"Rate limited or server error ({response.status_code}). Retrying in {wait_time:.2f}s...")
                    time.sleep(wait_time)
                    continue
                else:
                    raise Exception(f"Max retries exceeded for {url}. Status: {response.status_code}")
            
            response.raise_for_status()
            
        except requests.exceptions.RequestException as e:
            if attempt < max_retries:
                wait_time = (2 ** attempt) + random.uniform(0, 1)
                print(f"Request failed: {e}. Retrying in {wait_time:.2f}s...")
                time.sleep(wait_time)
            else:
                raise Exception(f"Max retries exceeded due to network error: {e}")
                
    return None

# ==============================================================================
# Business Logic: Fetch Users
# ==============================================================================
def get_users(auth: GenesysAuthenticator, page: int = 1, page_size: int = 25) -> List[Dict[str, Any]]:
    """
    Fetches a list of users from Genesys Cloud.
    Scope required: user:read
    """
    token = auth.get_access_token()
    
    headers = {
        "Authorization": f"{auth.token_type} {token}",
        "Content-Type": "application/json"
    }
    
    url = f"{BASE_URL}/api/v2/users"
    params = {
        "pageSize": page_size,
        "pageNumber": page
    }
    
    response = make_api_call_with_retry(url, method="GET", headers=headers, params=params)
    
    if response.status_code == 200:
        data = response.json()
        entities = data.get("entities", [])
        print(f"Retrieved {len(entities)} users.")
        return entities
    elif response.status_code == 401:
        print("401 Unauthorized. Refreshing token and retrying once.")
        auth._fetch_new_token()
        new_token = auth.access_token
        headers["Authorization"] = f"{auth.token_type} {new_token}"
        response = make_api_call_with_retry(url, method="GET", headers=headers, params=params)
        if response.status_code == 200:
            return response.json().get("entities", [])
        else:
            raise Exception(f"Retry failed with status {response.status_code}")
    else:
        raise Exception(f"Failed to fetch users. Status: {response.status_code}, Body: {response.text}")

# ==============================================================================
# Main Execution
# ==============================================================================
if __name__ == "__main__":
    if not CLIENT_ID or not CLIENT_SECRET:
        print("Error: GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables are required.")
        exit(1)

    try:
        auth = GenesysAuthenticator(CLIENT_ID, CLIENT_SECRET)
        users = get_users(auth, page=1, page_size=10)
        
        print("\n--- User List ---")
        for user in users:
            print(f"ID: {user['id']} | Name: {user['name']} | Email: {user.get('email', 'N/A')}")
            
    except Exception as e:
        print(f"Fatal Error: {e}")
        exit(1)

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: The Client ID or Client Secret is incorrect, or the OAuth Client is disabled in the Genesys Cloud Admin Portal.
  • Fix: Verify the credentials in your CI/CD environment variables. Ensure the OAuth Client is active.
  • Code Check: Ensure you are sending the client_secret in the body, not in the header. Genesys Cloud requires application/x-www-form-urlencoded with client_id and client_secret in the body for the token endpoint.

Error: 403 Forbidden

  • Cause: The OAuth Client does not have the required scopes for the API endpoint you are calling.
  • Fix: Go to the OAuth Client configuration in the Admin Portal. Add the required scope (e.g., user:read for the Users API). Save the changes.
  • Note: Scope changes can take up to 15 minutes to propagate. If you recently added a scope, wait and retry.

Error: 429 Too Many Requests

  • Cause: You have exceeded the API rate limit for your organization or specific endpoint.
  • Fix: Implement exponential backoff with jitter, as shown in the make_api_call_with_retry function. Do not retry immediately. Read the Retry-After header if present in the response.
  • Code Check: Ensure your retry logic respects the 429 status code and waits before the next attempt.

Error: Invalid Grant

  • Cause: The grant_type is not client_credentials, or the credentials are malformed.
  • Fix: Ensure the payload sent to /oauth/token includes grant_type: client_credentials.

Official References