Launching Architect Flows Programmatically via REST API

What You Will Build

• This tutorial demonstrates how to programmatically trigger a Genesys Cloud CX Architect flow from an external application using the REST API.
• The code utilizes the POST /api/v2/flows/executions endpoint to initiate a flow execution with custom input parameters.
• The implementation is provided in Python using the requests library, focusing on robust error handling and authentication management.

Prerequisites

• OAuth Client Type: Service Account (Client Credentials Grant) or User Account (Authorization Code Grant). Service accounts are recommended for server-to-server integrations.
• Required Scopes:
  • flow:execution:write (Required to start the flow)
  • flow:execution:read (Optional, recommended if you need to poll for execution status or retrieve results)
• SDK/API Version: Genesys Cloud CX REST API v2.
• Language/Runtime: Python 3.8+.
• External Dependencies:
  • requests (for HTTP calls)
  • pydantic (optional, for data validation, used here for clarity)
  • tenacity (optional, for robust retry logic on rate limits)

Authentication Setup

Before invoking any flow execution, you must obtain a valid OAuth 2.0 access token. The Genesys Cloud API uses bearer token authentication. For background services, the Client Credentials flow is the standard approach.

Step 1: Obtain Access Token

The token endpoint is https://login.mypurecloud.com/oauth/token. You must provide your client_id and client_secret in the Authorization header using Base64 encoding, and specify grant_type=client_credentials in the body.

import requests
import base64
import json
from typing import Optional

class GenesysAuth:
    def __init__(self, client_id: str, client_secret: str, env_url: str = "https://api.mypurecloud.com"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.env_url = env_url
        self.token_url = "https://login.mypurecloud.com/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: Optional[int] = None

    def get_token(self) -> str:
        """
        Retrieves a fresh access token using Client Credentials flow.
        In a production environment, implement caching and refresh logic 
        based on token_expiry to avoid unnecessary token requests.
        """
        # Combine client_id and client_secret with a colon and Base64 encode
        credentials = f"{self.client_id}:{self.client_secret}"
        encoded_credentials = base64.b64encode(credentials.encode('utf-8')).decode('utf-8')

        headers = {
            "Content-Type": "application/x-www-form-urlencoded",
            "Authorization": f"Basic {encoded_credentials}"
        }

        data = {
            "grant_type": "client_credentials"
        }

        try:
            response = requests.post(self.token_url, headers=headers, data=data)
            response.raise_for_status()
        except requests.exceptions.HTTPError as e:
            if response.status_code == 401:
                raise ValueError("Invalid Client ID or Client Secret.")
            elif response.status_code == 403:
                raise PermissionError("Client does not have permission to request tokens.")
            else:
                raise Exception(f"Token request failed with status {response.status_code}: {response.text}")

        token_data = response.json()
        self.access_token = token_data.get("access_token")
        self.token_expiry = token_data.get("expires_in")
        
        return self.access_token

# Usage Example
# auth = GenesysAuth(client_id="your_client_id", client_secret="your_client_secret")
# token = auth.get_token()

Critical Note: The client_id and client_secret must belong to an OAuth Client that has the flow:execution:write scope enabled. If the scope is missing, the token generation will succeed, but the subsequent flow execution call will return a 403 Forbidden error.

Implementation

Step 2: Constructing the Flow Execution Request

To launch a flow, you send a POST request to /api/v2/flows/executions. The request body requires the flowId and optionally an inputs object. The inputs object allows you to pass data into the flow, which can be accessed by the flow’s “Input” node or directly in script nodes.

The Payload Structure

{
  "flowId": "12345678-1234-1234-1234-123456789012",
  "inputs": {
    "customerEmail": "john.doe@example.com",
    "orderId": "ORD-98765",
    "priority": "high"
  }
}

• flowId: The unique identifier of the Architect flow you wish to execute. You can find this in the Architect UI under the flow’s settings or by querying the /api/v2/flows endpoint.
• inputs: A map of key-value pairs. The keys must match the input parameters defined in the flow’s “Start” node configuration. If a key is not defined in the flow, it is ignored. If a required key is missing, the flow may start with null values for those fields, depending on flow configuration.

Step 3: Executing the Flow

The following Python class wraps the execution logic. It handles the HTTP request, parses the response, and manages common error scenarios such as rate limiting (429) and bad requests (400).

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

class FlowExecutor:
    def __init__(self, access_token: str, env_url: str = "https://api.mypurecloud.com"):
        self.access_token = access_token
        self.env_url = env_url
        self.base_url = f"{env_url}/api/v2/flows/executions"
        self.headers = {
            "Authorization": f"Bearer {access_token}",
            "Content-Type": "application/json"
        }

    def execute_flow(self, flow_id: str, inputs: Optional[Dict[str, Any]] = None, max_retries: int = 3) -> Dict[str, Any]:
        """
        Executes a Genesys Cloud Architect flow.
        
        Args:
            flow_id: The UUID of the flow to execute.
            inputs: A dictionary of input parameters to pass to the flow.
            max_retries: Number of retries for 429 Too Many Requests errors.
            
        Returns:
            A dictionary containing the execution ID and status.
        """
        payload = {
            "flowId": flow_id
        }
        
        if inputs:
            payload["inputs"] = inputs

        retry_count = 0
        while retry_count <= max_retries:
            try:
                response = requests.post(self.base_url, headers=self.headers, json=payload)
                
                # Handle Success (200 OK or 201 Created)
                if response.status_code in [200, 201]:
                    return response.json()
                
                # Handle Rate Limiting (429)
                if response.status_code == 429:
                    retry_after = int(response.headers.get("Retry-After", 2))
                    print(f"Rate limited. Retrying after {retry_after} seconds...")
                    time.sleep(retry_after)
                    retry_count += 1
                    continue
                
                # Handle Client Errors (4xx)
                if 400 <= response.status_code < 500:
                    self._handle_client_error(response)
                    return {} # Should not reach here due to exception
                
                # Handle Server Errors (5xx)
                if response.status_code >= 500:
                    print(f"Server error: {response.status_code}. Response: {response.text}")
                    time.sleep(2 ** retry_count) # Exponential backoff
                    retry_count += 1
                    continue

            except requests.exceptions.RequestException as e:
                print(f"Network error: {e}")
                raise

        raise Exception("Max retries exceeded for flow execution.")

    def _handle_client_error(self, response: requests.Response) -> None:
        """Handles specific 4xx errors with meaningful messages."""
        error_body = response.json()
        error_code = error_body.get("code", "unknown")
        error_message = error_body.get("message", "No message provided")
        
        if response.status_code == 400:
            raise ValueError(f"Bad Request: {error_message}. Check your flowId and inputs format.")
        elif response.status_code == 401:
            raise PermissionError("Unauthorized: Access token is invalid or expired.")
        elif response.status_code == 403:
            raise PermissionError(f"Forbidden: {error_message}. Ensure the OAuth client has 'flow:execution:write' scope.")
        elif response.status_code == 404:
            raise ValueError(f"Not Found: Flow with ID '{response.json().get('flowId', 'unknown')}' does not exist.")
        elif response.status_code == 422:
            raise ValueError(f"Unprocessable Entity: {error_message}. Input validation failed.")
        else:
            raise Exception(f"Client Error {response.status_code}: {error_message}")

Step 4: Understanding the Response

A successful execution returns a 200 OK or 201 Created status code. The response body contains the executionId, which is crucial for tracking the flow’s progress if you need to poll for results or handle async outcomes.

{
  "id": "exec-12345678-1234-1234-1234-123456789012",
  "flowId": "12345678-1234-1234-1234-123456789012",
  "state": "Running",
  "startTime": "2023-10-27T10:00:00.000Z",
  "endTime": null
}

• id: The unique ID of this specific execution instance.
• state: Current state of the execution (Running, Completed, Failed, Cancelled).
• startTime: When the execution began.

Complete Working Example

This script combines authentication and execution into a single runnable module. Replace the placeholder credentials and flow ID with your actual values.

import requests
import base64
import time
import sys
from typing import Dict, Any, Optional

class GenesysFlowLauncher:
    def __init__(self, client_id: str, client_secret: str, env_url: str = "https://api.mypurecloud.com"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.env_url = env_url
        self.token_url = "https://login.mypurecloud.com/oauth/token"
        self.access_token = None

    def authenticate(self) -> None:
        credentials = f"{self.client_id}:{self.client_secret}"
        encoded_credentials = base64.b64encode(credentials.encode('utf-8')).decode('utf-8')
        
        headers = {
            "Content-Type": "application/x-www-form-urlencoded",
            "Authorization": f"Basic {encoded_credentials}"
        }
        data = {"grant_type": "client_credentials"}

        try:
            response = requests.post(self.token_url, headers=headers, data=data)
            response.raise_for_status()
        except requests.exceptions.HTTPError as e:
            print(f"Authentication failed: {e}")
            sys.exit(1)

        token_data = response.json()
        self.access_token = token_data.get("access_token")
        print("Authentication successful.")

    def launch_flow(self, flow_id: str, inputs: Dict[str, Any]) -> Dict[str, Any]:
        if not self.access_token:
            raise Exception("Not authenticated. Call authenticate() first.")

        url = f"{self.env_url}/api/v2/flows/executions"
        headers = {
            "Authorization": f"Bearer {self.access_token}",
            "Content-Type": "application/json"
        }
        
        payload = {
            "flowId": flow_id,
            "inputs": inputs
        }

        try:
            response = requests.post(url, headers=headers, json=payload)
            response.raise_for_status()
            return response.json()
        except requests.exceptions.HTTPError as e:
            print(f"Flow execution failed with status {response.status_code}")
            print(f"Response body: {response.text}")
            raise
        except requests.exceptions.RequestException as e:
            print(f"Network error during flow execution: {e}")
            raise

def main():
    # Configuration
    CLIENT_ID = "your_client_id_here"
    CLIENT_SECRET = "your_client_secret_here"
    FLOW_ID = "your_flow_uuid_here"
    
    # Input parameters for the flow
    FLOW_INPUTS = {
        "customerName": "Jane Smith",
        "accountNumber": "ACC-12345",
        "requestType": "billing_inquiry"
    }

    try:
        launcher = GenesysFlowLauncher(CLIENT_ID, CLIENT_SECRET)
        launcher.authenticate()
        
        result = launcher.launch_flow(FLOW_ID, FLOW_INPUTS)
        
        print("Flow launched successfully!")
        print(f"Execution ID: {result.get('id')}")
        print(f"State: {result.get('state')}")
        
    except Exception as e:
        print(f"An error occurred: {e}")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 403 Forbidden – “The client does not have permission to perform this operation”

Cause: The OAuth client used to generate the token lacks the flow:execution:write scope.

Fix:

1. Navigate to the Genesys Cloud Admin portal.
2. Go to Admin > Platform > OAuth Clients.
3. Edit the client used in your script.
4. Ensure flow:execution:write is checked under Scopes.
5. Save and regenerate the token.

Error: 400 Bad Request – “Invalid flowId”

Cause: The flowId provided is not a valid UUID or does not exist in the environment.

Fix:

1. Verify the flowId is a valid UUID format (e.g., xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx).
2. Confirm the flow exists in the same environment (e.g., US1, EU1) as the API endpoint you are calling.
3. Use the GET /api/v2/flows endpoint to list flows and verify the ID.

# Debugging code to list flows
def list_flows(auth_token: str):
    url = "https://api.mypurecloud.com/api/v2/flows"
    headers = {"Authorization": f"Bearer {auth_token}"}
    response = requests.get(url, headers=headers)
    if response.status_code == 200:
        flows = response.json().get("entities", [])
        for flow in flows[:5]: # Print first 5
            print(f"ID: {flow['id']}, Name: {flow['name']}")

Error: 429 Too Many Requests

Cause: You have exceeded the API rate limits for flow executions. Genesys Cloud imposes rate limits on flow execution endpoints to prevent abuse.

Fix:

1. Implement exponential backoff in your client code (as shown in the FlowExecutor class).
2. Check the Retry-After header in the response.
3. If you are launching flows in bulk, consider staggering the requests or using a queue with concurrency controls.

Error: 422 Unprocessable Entity – “Input validation failed”

Cause: The inputs object contains data types that do not match the flow’s input definition. For example, passing a string where an integer is expected, or passing a null value to a required field.

Fix:

1. Review the flow’s “Start” node in Architect.
2. Ensure the data types in your JSON payload match exactly.
3. Genesys Cloud is strict about JSON types. Use 123 for integers, not "123".

Official References

• Genesys Cloud CX API Documentation: Flow Executions
• Genesys Cloud CX Python SDK Reference
• OAuth 2.0 Client Credentials Grant