How to Implement a Genesys Cloud Architect GetExternalContactAction Lookup

What You Will Build

• You will build a Python script that authenticates to Genesys Cloud and executes an Architect flow simulation to trigger a GetExternalContactAction.
• This tutorial uses the Genesys Cloud Python SDK (genesyscloud) and the Architect Flow Simulation API (/api/v2/architect/simulations).
• The code is written in Python 3.9+ using httpx for underlying HTTP requests where the SDK is insufficient for complex payload construction.

Prerequisites

• OAuth Client: A Genesys Cloud OAuth client with the architect:flow:run and architect:flow:read scopes.
• SDK Version: genesyscloud SDK version 2.x or higher.
• Runtime: Python 3.9 or later.
• Dependencies: genesyscloud, httpx, pydantic.

Authentication Setup

Genesys Cloud uses OAuth 2.0. For server-to-server interactions, such as simulating flows or executing actions programmatically, you must use the Client Credentials Grant.

Install the required packages:

pip install genesyscloud httpx pydantic

Initialize the Genesys Cloud client. The SDK handles token caching and refresh automatically if configured correctly.

from genesyscloud import PlatformClient
import os

def get_genesys_client() -> PlatformClient:
    """
    Initializes and returns a configured Genesys Cloud PlatformClient.
    """
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    base_url = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables are required.")

    client = PlatformClient()
    client.set_oauth_client_credentials(client_id, client_secret)
    client.set_base_url(base_url)
    
    return client

Implementation

Step 1: Define the External Contact Lookup Logic

The GetExternalContactAction in Genesys Cloud Architect does not make an outbound HTTP call to a third-party database by default. Instead, it queries the Genesys Cloud External Contacts data store. Therefore, before simulating the flow, you must ensure the contact exists in the External Contacts database or that the flow is configured to handle missing contacts gracefully.

For this tutorial, we assume the contact already exists. We will construct a simulation request that triggers the flow at the specific action node.

First, identify the Flow ID and the Node ID of the GetExternalContactAction. You can find these in the Architect UI or by querying the flow definition.

from genesyscloud.rest import ApiException
import json

def get_flow_definition(client: PlatformClient, flow_id: str) -> dict:
    """
    Retrieves the full definition of a Genesys Cloud Architect flow.
    This allows us to inspect the nodes and find the specific action node ID.
    """
    try:
        # Endpoint: GET /api/v2/architect/flows/{flowId}
        response = client.architect.get_architect_flow(flow_id)
        return response.to_dict()
    except ApiException as e:
        print(f"Failed to retrieve flow definition: {e}")
        raise

Step 2: Construct the Simulation Payload

To simulate a flow execution, you must send a POST request to /api/v2/architect/simulations. The payload must include the flowId, the context (which contains the phone number), and the entryNode (if you want to start from the beginning) or a specific nodeId if you are jumping to the action.

For GetExternalContactAction, the critical parameter is the lookup key. In Genesys Cloud, this is typically the from number (ANII) or a specific field defined in the action configuration.

The simulation context must mimic the runtime environment. For an inbound call, the from field is populated.

def build_simulation_payload(flow_id: str, phone_number: str, node_id: str) -> dict:
    """
    Constructs the JSON payload for the Architect Flow Simulation API.
    
    Args:
        flow_id: The ID of the Architect flow.
        phone_number: The E.164 formatted phone number to look up.
        node_id: The ID of the GetExternalContactAction node.
        
    Returns:
        A dictionary representing the simulation request body.
    """
    
    # The context mimics the runtime environment.
    # For voice calls, 'from' is the caller's number.
    context = {
        "from": phone_number,
        "to": "+15550000000", # Dummy destination
        "channel": "voice",
        "conversationId": "simulated-conversation-id",
        "mediaType": "voice"
    }

    # The simulation request structure
    simulation_request = {
        "flowId": flow_id,
        "context": context,
        "nodeId": node_id, # Jump directly to the action node for testing
        "timeout": 5000 # Milliseconds
    }

    return simulation_request

Step 3: Execute the Simulation and Parse Results

The simulation API returns the execution trace. If the GetExternalContactAction succeeds, the result will contain the external contact data. If it fails (e.g., contact not found), the trace will show the error or the fallback path.

We use httpx for this step because the SDK’s simulation methods can sometimes struggle with deeply nested dynamic contexts.

import httpx
from genesyscloud import PlatformClient

async def run_flow_simulation(client: PlatformClient, payload: dict) -> dict:
    """
    Executes the flow simulation using httpx and the Genesys Cloud access token.
    
    Args:
        client: The initialized Genesys Cloud PlatformClient.
        payload: The simulation request payload.
        
    Returns:
        The JSON response from the simulation API.
    """
    
    # Get the current access token from the SDK client
    # The SDK caches the token, so this is efficient.
    token = client.oauth_client.get_access_token()
    
    if not token:
        raise Exception("Failed to retrieve OAuth access token.")

    base_url = client.get_base_url()
    url = f"{base_url}/api/v2/architect/simulations"
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }

    async with httpx.AsyncClient(timeout=30.0) as http_client:
        try:
            response = await http_client.post(url, json=payload, headers=headers)
            
            if response.status_code == 200:
                return response.json()
            elif response.status_code == 400:
                print(f"Bad Request: {response.text}")
                raise ValueError("Invalid simulation payload. Check flowId and nodeId.")
            elif response.status_code == 401:
                print("Unauthorized. Token may be expired.")
                raise Exception("Authentication failed.")
            else:
                print(f"Unexpected status code: {response.status_code}")
                print(f"Response: {response.text}")
                raise Exception("Simulation failed.")
                
        except httpx.RequestError as e:
            print(f"HTTP Request Error: {e}")
            raise

Complete Working Example

This script combines authentication, flow definition retrieval, and simulation execution into a single runnable module.

import os
import asyncio
import json
from genesyscloud import PlatformClient
import httpx

# Configuration
FLOW_ID = os.getenv("GENESYS_FLOW_ID")
NODE_ID = os.getenv("GENESYS_NODE_ID") # ID of the GetExternalContactAction node
PHONE_NUMBER = os.getenv("TEST_PHONE_NUMBER", "+15551234567")

def get_genesys_client() -> PlatformClient:
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    base_url = os.getenv("GENESYS_BASE_URL", "https://api.mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("Environment variables GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET are required.")

    client = PlatformClient()
    client.set_oauth_client_credentials(client_id, client_secret)
    client.set_base_url(base_url)
    return client

async def simulate_external_contact_lookup(flow_id: str, node_id: str, phone_number: str) -> dict:
    """
    Main function to simulate the GetExternalContactAction.
    """
    client = get_genesys_client()
    
    # Step 1: Build the payload
    context = {
        "from": phone_number,
        "to": "+15550000000",
        "channel": "voice",
        "conversationId": "simulated-conv-123",
        "mediaType": "voice"
    }
    
    payload = {
        "flowId": flow_id,
        "context": context,
        "nodeId": node_id,
        "timeout": 5000
    }
    
    # Step 2: Execute Simulation
    token = client.oauth_client.get_access_token()
    if not token:
        raise Exception("Failed to retrieve OAuth access token.")

    base_url = client.get_base_url()
    url = f"{base_url}/api/v2/architect/simulations"
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }

    async with httpx.AsyncClient(timeout=30.0) as http_client:
        try:
            response = await http_client.post(url, json=payload, headers=headers)
            
            if response.status_code == 200:
                result = response.json()
                return result
            else:
                print(f"Simulation failed with status {response.status_code}")
                print(f"Response Body: {response.text}")
                return None
                
        except httpx.RequestError as e:
            print(f"HTTP Request Error: {e}")
            return None

def print_simulation_results(result: dict):
    """
    Parses and prints the relevant parts of the simulation result.
    """
    if not result:
        return

    print("=== Simulation Result ===")
    print(f"Status: {result.get('status')}")
    
    # The result contains a 'trace' array showing each node execution
    if 'trace' in result:
        for step in result['trace']:
            node_id = step.get('nodeId')
            node_name = step.get('nodeName')
            node_type = step.get('nodeType')
            
            print(f"\nNode: {node_name} ({node_type})")
            
            # Check if this is our GetExternalContactAction
            if node_type == 'GetExternalContactAction':
                print("  --- External Contact Lookup Details ---")
                
                # The result of the action is usually in 'result' or 'output'
                action_result = step.get('result', {})
                
                # Check for errors
                if 'error' in action_result:
                    print(f"  Error: {action_result['error']}")
                    return

                # Check for contact data
                contact_data = action_result.get('contact')
                if contact_data:
                    print(f"  Contact Found: Yes")
                    print(f"  Contact ID: {contact_data.get('id')}")
                    print(f"  Name: {contact_data.get('name')}")
                    print(f"  Email: {contact_data.get('email')}")
                    
                    # Print all attributes if available
                    attributes = contact_data.get('attributes', {})
                    if attributes:
                        print(f"  Attributes: {json.dumps(attributes, indent=4)}")
                else:
                    print(f"  Contact Found: No")

async def main():
    if not FLOW_ID or not NODE_ID:
        print("Please set GENESYS_FLOW_ID and GENESYS_NODE_ID environment variables.")
        return

    print(f"Simulating lookup for phone number: {PHONE_NUMBER}")
    print(f"Flow ID: {FLOW_ID}")
    print(f"Node ID: {NODE_ID}")
    
    result = await simulate_external_contact_lookup(FLOW_ID, NODE_ID, PHONE_NUMBER)
    print_simulation_results(result)

if __name__ == "__main__":
    asyncio.run(main())

Common Errors & Debugging

Error: 400 Bad Request - Invalid Node ID

• Cause: The nodeId provided in the payload does not exist in the specified flowId, or the node is not an executable action (e.g., a container node).
• Fix: Verify the nodeId by calling GET /api/v2/architect/flows/{flowId} and inspecting the nodes array. Ensure you are using the ID of the specific GetExternalContactAction node, not the parent container.

Error: Contact Not Found

• Cause: The GetExternalContactAction queries the Genesys Cloud External Contacts database. If no contact matches the lookup key (usually from number), the action may return null or throw an error depending on configuration.
• Fix:
  1. Verify the contact exists in the Genesys Cloud Admin UI under Contacts > External Contacts.
  2. Check the Lookup Key configuration in the Architect action. By default, it looks up by from number. If your flow uses a different field (e.g., caller_id), ensure the simulation context includes that field.
  3. Ensure the phone number in the simulation context matches the format stored in External Contacts (E.164).

Error: 403 Forbidden

• Cause: The OAuth client used for authentication lacks the necessary scopes.
• Fix: Ensure the OAuth client has the architect:flow:run scope. Without this scope, the simulation API will reject the request.

Error: Simulation Timeout

• Cause: The flow takes longer than the specified timeout to execute. This is rare for a simple lookup but can happen if the flow has complex logic downstream.
• Fix: Increase the timeout value in the payload (in milliseconds). The default is 5000ms. For debugging, you can set it to 30000ms.

Official References

• Genesys Cloud Architect Flow Simulation API
• Genesys Cloud External Contacts API
• Genesys Cloud Python SDK Documentation