Generate a Long-Lived API Token for CI/CD Pipelines in Genesys Cloud

Generate a Long-Lived API Token for CI/CD Pipelines in Genesys Cloud

What You Will Build

  • A Python script that authenticates using an OAuth client ID and secret to retrieve a bearer token with a 24-hour lifespan.
  • The script utilizes the Genesys Cloud OAuth 2.0 Client Credentials Grant flow, which is the standard for server-to-server integrations.
  • This tutorial covers Python implementation using the requests library, with notes on adapting the logic for JavaScript and Java environments.

Prerequisites

  • OAuth Client Type: An OAuth Client registered in Genesys Cloud with the Confidential client type. Public clients cannot use the Client Credentials flow.
  • Required Scopes: The specific scopes depend on the downstream API calls your pipeline will make. For example, if you are querying analytics, you need analytics:conversation:read. If you are managing users, you need user:read. Ensure the OAuth client has these scopes granted in the Genesys Cloud Admin Portal under Admin > Security > OAuth Clients.
  • SDK/API Version: This tutorial uses the raw HTTP approach via the requests library, which is agnostic to SDK versions. If using the genesyscloud Python SDK, version 137.0.0 or later is recommended.
  • Language/Runtime: Python 3.8+.
  • External Dependencies: requests (for HTTP calls), python-dotenv (for secure credential management).

Authentication Setup

The Genesys Cloud API does not support “long-lived” tokens in the sense of a static key that never expires. All OAuth 2.0 access tokens expire. However, for CI/CD pipelines, the Client Credentials Grant flow is the correct mechanism. It allows you to exchange your client ID and secret for a token that is valid for 24 hours.

For a CI/CD pipeline, the strategy is not to store the token forever, but to:

  1. Fetch a new token at the start of the pipeline run.
  2. Cache that token for subsequent steps within the same pipeline execution.
  3. Rely on the 24-hour validity to allow re-use if the pipeline runs multiple times within that window (though fetching fresh is safer for security).

Step 1: Configure Environment Variables

Never hardcode credentials in your code. Use environment variables. In your local development environment or CI/CD variable store (GitHub Actions, GitLab CI, Jenkins), define:

GENESYS_CLOUD_REGION="mypurecloud.com" # Or "us-east-1.mypurecloud.com", etc.
GENESYS_CLOUD_CLIENT_ID="your-client-id"
GENESYS_CLOUD_CLIENT_SECRET="your-client-secret"

Step 2: Implement the Token Exchange

The endpoint for exchanging credentials for a token is https://{region}.mypurecloud.com/oauth/token.

Below is the Python implementation using the requests library. This code demonstrates the exact POST request required.

import os
import requests
import time
from typing import Optional, Dict

class GenesysOAuth:
    def __init__(self, region: str, client_id: str, client_secret: str):
        self.region = region
        self.client_id = client_id
        self.client_secret = client_secret
        self.token_url = f"https://{region}.mypurecloud.com/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: Optional[float] = None

    def get_token(self) -> str:
        """
        Retrieves an OAuth2 access token using the Client Credentials Grant.
        Returns the access token string.
        Raises an exception if authentication fails.
        """
        # Check if we have a valid cached token
        if self.access_token and self.token_expiry and time.time() < self.token_expiry:
            return self.access_token

        # Prepare the payload for the Client Credentials Grant
        # Note: The grant_type MUST be 'client_credentials'
        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(
                self.token_url,
                data=payload,
                headers=headers,
                timeout=10 # Seconds
            )
            response.raise_for_status()
        except requests.exceptions.HTTPError as http_err:
            # Handle specific HTTP errors
            if response.status_code == 401:
                raise Exception("Authentication failed: Invalid Client ID or Secret.")
            elif response.status_code == 403:
                raise Exception("Authentication failed: OAuth Client is disabled or lacks permissions.")
            elif response.status_code == 429:
                raise Exception("Rate limited: Too many authentication requests. Back off and retry.")
            else:
                raise Exception(f"HTTP Error during token exchange: {http_err}")
        except requests.exceptions.RequestException as err:
            raise Exception(f"Network error during token exchange: {err}")

        # Parse the response
        token_data = response.json()
        
        # Extract the token and calculate expiry
        self.access_token = token_data.get("access_token")
        expires_in = token_data.get("expires_in", 86400) # Default to 24 hours if missing
        
        if not self.access_token:
            raise Exception("Token exchange successful, but no access_token returned in response.")

        # Set expiry time (current time + seconds until expiration)
        self.token_expiry = time.time() + expires_in

        return self.access_token

# Usage Example
if __name__ == "__main__":
    region = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")

    if not all([region, client_id, client_secret]):
        raise ValueError("Missing environment variables: GENESYS_CLOUD_REGION, GENESYS_CLOUD_CLIENT_ID, GENESYS_CLOUD_CLIENT_SECRET")

    oauth = GenesysOAuth(region, client_id, client_secret)
    
    try:
        token = oauth.get_token()
        print(f"Successfully retrieved token. Expiry: {oauth.token_expiry}")
        # Mask the token for logging
        masked_token = token[:10] + "..." + token[-10:]
        print(f"Token (masked): {masked_token}")
    except Exception as e:
        print(f"Failed to get token: {e}")

Implementation

Step 1: Validate the Token with a Simple API Call

Once you have the token, you must verify it works. The most lightweight way to validate a token is to call the /api/v2/users/me endpoint. This confirms the token is active and associated with a valid service account.

Required Scope: user:read

import requests
import os

def validate_token(access_token: str, region: str) -> Dict:
    """
    Validates the access token by fetching the authenticated user's profile.
    """
    url = f"https://{region}.mypurecloud.com/api/v2/users/me"
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Accept": "application/json"
    }

    try:
        response = requests.get(url, headers=headers, timeout=10)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as http_err:
        if response.status_code == 401:
            raise Exception("Token is invalid or expired.")
        elif response.status_code == 403:
            raise Exception("Token is valid, but the OAuth Client lacks the 'user:read' scope.")
        else:
            raise Exception(f"API Error: {http_err}")

# Assuming 'oauth' object from previous step
# user_profile = validate_token(oauth.get_token(), region)
# print(f"Authenticated as: {user_profile.get('name')}")

Step 2: Integrate with a CI/CD Pipeline (GitHub Actions Example)

In a CI/CD environment, you do not run the Python script locally. You run it as a step in your workflow. The key is to pass the token to subsequent steps using environment variables or output artifacts.

Here is a GitHub Actions workflow that demonstrates fetching the token and using it in a subsequent step.

name: Genesys Cloud CI/CD Token Test

on:
  push:
    branches: [ main ]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3

    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.10'

    - name: Install dependencies
      run: |
        pip install requests

    - name: Fetch Genesys Cloud Token
      id: fetch-token
      env:
        GENESYS_CLOUD_REGION: ${{ secrets.GENESYS_CLOUD_REGION }}
        GENESYS_CLOUD_CLIENT_ID: ${{ secrets.GENESYS_CLOUD_CLIENT_ID }}
        GENESYS_CLOUD_CLIENT_SECRET: ${{ secrets.GENESYS_CLOUD_CLIENT_SECRET }}
      run: |
        python -c "
        import os, requests, json, sys
        region = os.getenv('GENESYS_CLOUD_REGION')
        client_id = os.getenv('GENESYS_CLOUD_CLIENT_ID')
        client_secret = os.getenv('GENESYS_CLOUD_CLIENT_SECRET')
        
        token_url = f'https://{region}.mypurecloud.com/oauth/token'
        payload = {
            'grant_type': 'client_credentials',
            'client_id': client_id,
            'client_secret': client_secret
        }
        
        response = requests.post(token_url, data=payload)
        if response.status_code == 200:
            token = response.json()['access_token']
            # Output the token to a file or environment variable for next steps
            # NOTE: GitHub Actions automatically masks secrets, but be careful with logs
            with open('genesys_token.txt', 'w') as f:
                f.write(token)
        else:
            print(f'Failed to get token: {response.text}')
            sys.exit(1)
        "

    - name: Use Token to Query Analytics
      env:
        GENESYS_CLOUD_REGION: ${{ secrets.GENESYS_CLOUD_REGION }}
      run: |
        TOKEN=$(cat genesys_token.txt)
        # Example: Query total conversations for the last 24 hours
        curl -X POST "https://${{ secrets.GENESYS_CLOUD_REGION }}.mypurecloud.com/api/v2/analytics/conversations/details/query" \
             -H "Authorization: Bearer $TOKEN" \
             -H "Content-Type: application/json" \
             -d '{
               "view": "concierge",
               "interval": "PT1H",
               "dateFrom": "2023-10-01T00:00:00.000Z",
               "dateTo": "2023-10-01T01:00:00.000Z",
               "select": ["totalInteractions"]
             }'

Step 3: Handling Pagination for Large Data Sets

If your CI/CD pipeline needs to export large datasets (e.g., all users, all skills), you must handle pagination. Genesys Cloud APIs use a nextPage URL in the response header or body.

Endpoint: /api/v2/users
Required Scope: user:read

import requests

def get_all_users(access_token: str, region: str) -> list:
    """
    Fetches all users using pagination.
    """
    all_users = []
    url = f"https://{region}.mypurecloud.com/api/v2/users"
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Accept": "application/json"
    }
    
    # Initial request
    response = requests.get(url, headers=headers, timeout=30)
    response.raise_for_status()
    
    data = response.json()
    all_users.extend(data.get("entities", []))
    
    # Paginate until no more pages
    while "nextPage" in data:
        # The nextPage URL is absolute and includes query parameters
        next_page_url = data["nextPage"]
        
        print(f"Fetching next page: {next_page_url}")
        
        response = requests.get(next_page_url, headers=headers, timeout=30)
        response.raise_for_status()
        
        data = response.json()
        all_users.extend(data.get("entities", []))
        
        # Safety break to prevent infinite loops in case of API bugs
        if len(all_users) > 100000:
            print("Warning: Exceeded safety limit of 100,000 users.")
            break

    return all_users

# Usage:
# users = get_all_users(oauth.get_token(), region)
# print(f"Total users fetched: {len(users)}")

Complete Working Example

Below is a complete, copy-pasteable Python module that combines authentication, validation, and a sample API call. Save this as genesys_cicd.py.

import os
import requests
import time
import sys
from typing import Optional, Dict, List

class GenesysCICDClient:
    def __init__(self, region: str, client_id: str, client_secret: str):
        self.region = region
        self.client_id = client_id
        self.client_secret = client_secret
        self.base_url = f"https://{region}.mypurecloud.com"
        self.token_url = f"{self.base_url}/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: Optional[float] = None

    def get_access_token(self) -> str:
        """
        Retrieves an OAuth2 access token using Client Credentials Grant.
        """
        if self.access_token and self.token_expiry and time.time() < self.token_expiry:
            return self.access_token

        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(self.token_url, data=payload, headers=headers, timeout=10)
            response.raise_for_status()
        except requests.exceptions.HTTPError as e:
            if response.status_code == 401:
                raise Exception("401 Unauthorized: Check Client ID and Secret.")
            elif response.status_code == 429:
                raise Exception("429 Too Many Requests: Rate limited. Wait before retrying.")
            else:
                raise Exception(f"HTTP Error: {e}")
        except Exception as e:
            raise Exception(f"Network Error: {e}")

        token_data = response.json()
        self.access_token = token_data.get("access_token")
        self.token_expiry = time.time() + token_data.get("expires_in", 86400)
        
        if not self.access_token:
            raise Exception("No access_token in response.")
            
        return self.access_token

    def make_api_call(self, method: str, path: str, params: Optional[Dict] = None, body: Optional[Dict] = None) -> Dict:
        """
        Generic method to make authenticated API calls.
        """
        url = f"{self.base_url}{path}"
        headers = {
            "Authorization": f"Bearer {self.get_access_token()}",
            "Accept": "application/json",
            "Content-Type": "application/json"
        }

        try:
            if method.upper() == "GET":
                response = requests.get(url, headers=headers, params=params, timeout=30)
            elif method.upper() == "POST":
                response = requests.post(url, headers=headers, json=body, timeout=30)
            elif method.upper() == "PUT":
                response = requests.put(url, headers=headers, json=body, timeout=30)
            elif method.upper() == "DELETE":
                response = requests.delete(url, headers=headers, timeout=30)
            else:
                raise ValueError(f"Unsupported HTTP method: {method}")
                
            response.raise_for_status()
            return response.json()
        except requests.exceptions.HTTPError as e:
            print(f"API Error {response.status_code}: {response.text}")
            raise e
        except Exception as e:
            print(f"Request Error: {e}")
            raise e

def main():
    # 1. Load Credentials
    region = os.getenv("GENESYS_CLOUD_REGION", "mypurecloud.com")
    client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")

    if not all([client_id, client_secret]):
        print("Error: Missing environment variables.")
        sys.exit(1)

    # 2. Initialize Client
    client = GenesysCICDClient(region, client_id, client_secret)

    try:
        # 3. Get Token
        token = client.get_access_token()
        print(f"Token acquired successfully.")

        # 4. Validate Token (Optional but recommended)
        user_info = client.make_api_call("GET", "/api/v2/users/me")
        print(f"Authenticated as: {user_info.get('name')} ({user_info.get('id')})")

        # 5. Example API Call: Get Skills
        # Requires scope: skill:read
        skills = client.make_api_call("GET", "/api/v2/skills")
        print(f"Fetched {len(skills.get('entities', []))} skills.")

    except Exception as e:
        print(f"Pipeline failed: {e}")
        sys.exit(1)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: The Client ID or Client Secret is incorrect, or the OAuth Client is disabled.
  • Fix: Verify the credentials in the Genesys Cloud Admin Portal. Ensure the OAuth Client status is “Enabled”. Check for trailing spaces in environment variables.

Error: 403 Forbidden

  • Cause: The OAuth Client does not have the required scope for the specific API endpoint being called.
  • Fix: Go to Admin > Security > OAuth Clients, select your client, and check the box for the required scope (e.g., user:read, skill:read). Note: Scope changes may take up to 15 minutes to propagate.

Error: 429 Too Many Requests

  • Cause: The pipeline is making too many requests in a short period, or multiple pipelines are running simultaneously using the same client.
  • Fix: Implement exponential backoff in your retry logic. For CI/CD, consider staggering pipeline runs or using multiple OAuth clients with different IDs to distribute load.

Error: Token Expired

  • Cause: The token is only valid for 24 hours. If your pipeline is queued and runs after 24 hours, the cached token will fail.
  • Fix: Always fetch a new token at the start of the pipeline run. Do not cache tokens across different pipeline runs.

Official References