Building a Genesys Cloud Architect Data Action that Calls an External REST API

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Building a Genesys Cloud Architect Data Action that Calls an External REST API

What You Will Build

You will create a serverless AWS Lambda function that acts as a Genesys Cloud Data Action, which accepts input from Architect, calls an external third-party REST API, and returns a transformed JSON response to populate Architect variables. This tutorial uses the Python 3.9 runtime and the requests library within the Lambda environment.

Prerequisites

  • Genesys Cloud Account: You need an account with permissions to create Data Actions (admin:integration:edit or similar) and access to Architect.
  • AWS Account: Required to host the Lambda function that Genesys Cloud will invoke.
  • External API Endpoint: For this tutorial, we assume a hypothetical external API at https://api.example.com/v1/user-info that accepts a customer_id and returns user details.
  • Python Environment: Python 3.9+ installed locally for building and testing the deployment package.
  • AWS CLI: Configured with credentials to deploy the Lambda function.

Authentication Setup

Genesys Cloud Data Actions do not authenticate via OAuth tokens in the request body. Instead, they use AWS Signature Version 4 (SigV4) authentication. When you create the Data Action in Genesys Cloud, the platform generates an API Gateway endpoint and a set of IAM credentials (Access Key ID and Secret Access Key) that are tied specifically to that Data Action.

You do not need to write code to handle OAuth for the Data Action itself. You must, however, ensure your Lambda function is authorized to be invoked by the Genesys Cloud API Gateway. This is handled by the IAM role attached to your Lambda function.

Required IAM Policy for Lambda Role:
The role attached to your Lambda function must allow invocation from the Genesys Cloud API Gateway. Genesys provides the specific ARN of the API Gateway during the Data Action creation process.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "Service": "apigateway.amazonaws.com"
            },
            "Action": "lambda:InvokeFunction",
            "Resource": "arn:aws:lambda:us-east-1:YOUR_ACCOUNT_ID:function:YOUR_LAMBDA_FUNCTION_NAME",
            "Condition": {
                "ArnLike": {
                    "AWS:SourceArn": "arn:aws:execute-api:us-east-1:YOUR_ACCOUNT_ID:YOUR_API_GATEWAY_ID/*"
                }
            }
        }
    ]
}

Implementation

Step 1: Define the Lambda Handler and Input Structure

The Genesys Cloud Data Action sends a JSON payload to your Lambda function. This payload contains the inputs defined in the Architect Data Action configuration. The structure is:

{
    "inputs": {
        "customer_id": "12345",
        "locale": "en-US"
    }
}

Your Lambda handler must parse this inputs dictionary. If an input is missing, you should handle it gracefully to prevent runtime errors.

Python Lambda Handler (lambda_function.py):

import json
import os
import requests
import logging

# Configure logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)

# External API Configuration
EXTERNAL_API_URL = "https://api.example.com/v1/user-info"
EXTERNAL_API_TIMEOUT = 5  # seconds

def lambda_handler(event, context):
    """
    Genesys Cloud Data Action Lambda Handler.
    
    Args:
        event: The event object containing 'inputs'.
        context: The Lambda runtime context.
        
    Returns:
        dict: A dictionary with 'result' and optionally 'error'.
    """
    try:
        # 1. Extract inputs from the Genesys Cloud event payload
        inputs = event.get("inputs", {})
        
        customer_id = inputs.get("customer_id")
        locale = inputs.get("locale", "en-US")
        
        # 2. Validate required inputs
        if not customer_id:
            return {
                "result": {
                    "success": False,
                    "message": "Missing required input: customer_id"
                },
                "error": "ValidationError"
            }
        
        # 3. Call the external API
        api_response = call_external_api(customer_id, locale)
        
        # 4. Map the external API response to Genesys Cloud output variables
        mapped_result = map_response_to_architect_variables(api_response)
        
        # 5. Return the result in the format Genesys Cloud expects
        return {
            "result": mapped_result
        }
        
    except requests.exceptions.RequestException as e:
        logger.error(f"External API Error: {str(e)}")
        return {
            "result": {
                "success": False,
                "message": "Failed to connect to external system"
            },
            "error": "ExternalApiError"
        }
    except Exception as e:
        logger.error(f"Unexpected Error: {str(e)}")
        return {
            "result": {
                "success": False,
                "message": "Internal server error"
            },
            "error": "InternalServerError"
        }

Step 2: Implement the External API Call

This step involves making the HTTP request to the third-party service. You must handle timeouts, HTTP status codes, and JSON parsing errors.

Helper Function for External API Call:

def call_external_api(customer_id: str, locale: str) -> dict:
    """
    Makes a GET request to the external API.
    
    Args:
        customer_id: The ID of the customer to look up.
        locale: The locale for the response data.
        
    Returns:
        dict: The parsed JSON response from the external API.
        
    Raises:
        requests.exceptions.RequestException: If the request fails.
        ValueError: If the response is not valid JSON.
    """
    headers = {
        "Accept": "application/json",
        "Content-Type": "application/json",
        # If your external API requires auth, add it here.
        # Example: "Authorization": f"Bearer {os.environ.get('EXTERNAL_API_TOKEN')}"
    }
    
    params = {
        "id": customer_id,
        "locale": locale
    }
    
    logger.info(f"Calling external API: {EXTERNAL_API_URL} with params: {params}")
    
    response = requests.get(
        EXTERNAL_API_URL,
        headers=headers,
        params=params,
        timeout=EXTERNAL_API_TIMEOUT
    )
    
    # Raise an exception for bad status codes (4xx, 5xx)
    response.raise_for_status()
    
    try:
        return response.json()
    except ValueError:
        raise ValueError("External API did not return valid JSON")

Step 3: Map the Response to Architect Variables

Genesys Cloud expects the Lambda function to return a JSON object. The keys in this object become the output variables available in Architect. If the external API returns a complex nested structure, you must flatten or extract the specific fields you need.

Assume the external API returns:

{
    "data": {
        "name": "John Doe",
        "tier": "gold",
        "balance": 150.00
    },
    "status": "active"
}

You want to expose name, tier, and balance as separate variables in Architect.

Helper Function for Response Mapping:

def map_response_to_architect_variables(api_response: dict) -> dict:
    """
    Maps the raw external API response to the output variables 
    expected by Genesys Cloud Architect.
    
    Args:
        api_response: The parsed JSON response from the external API.
        
    Returns:
        dict: A flat dictionary of output variables.
    """
    # Initialize default values
    result = {
        "success": True,
        "customer_name": "",
        "customer_tier": "",
        "customer_balance": 0.0,
        "account_status": ""
    }
    
    try:
        # Extract data safely using .get() to avoid KeyError
        data = api_response.get("data", {})
        
        result["customer_name"] = data.get("name", "Unknown")
        result["customer_tier"] = data.get("tier", "standard")
        result["customer_balance"] = float(data.get("balance", 0.0))
        result["account_status"] = api_response.get("status", "unknown")
        
    except Exception as e:
        logger.error(f"Error mapping response: {str(e)}")
        result["success"] = False
        result["message"] = "Failed to parse external API response"
        
    return result

Complete Working Example

Combine the previous steps into a single lambda_function.py file. Ensure you include the requests library in your deployment package.

File: lambda_function.py

import json
import os
import requests
import logging

# Configure logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)

# External API Configuration
EXTERNAL_API_URL = "https://api.example.com/v1/user-info"
EXTERNAL_API_TIMEOUT = 5  # seconds

def call_external_api(customer_id: str, locale: str) -> dict:
    """
    Makes a GET request to the external API.
    """
    headers = {
        "Accept": "application/json",
        "Content-Type": "application/json",
    }
    
    params = {
        "id": customer_id,
        "locale": locale
    }
    
    logger.info(f"Calling external API: {EXTERNAL_API_URL} with params: {params}")
    
    response = requests.get(
        EXTERNAL_API_URL,
        headers=headers,
        params=params,
        timeout=EXTERNAL_API_TIMEOUT
    )
    
    response.raise_for_status()
    
    try:
        return response.json()
    except ValueError:
        raise ValueError("External API did not return valid JSON")

def map_response_to_architect_variables(api_response: dict) -> dict:
    """
    Maps the raw external API response to the output variables 
    expected by Genesys Cloud Architect.
    """
    result = {
        "success": True,
        "customer_name": "",
        "customer_tier": "",
        "customer_balance": 0.0,
        "account_status": ""
    }
    
    try:
        data = api_response.get("data", {})
        
        result["customer_name"] = data.get("name", "Unknown")
        result["customer_tier"] = data.get("tier", "standard")
        result["customer_balance"] = float(data.get("balance", 0.0))
        result["account_status"] = api_response.get("status", "unknown")
        
    except Exception as e:
        logger.error(f"Error mapping response: {str(e)}")
        result["success"] = False
        result["message"] = "Failed to parse external API response"
        
    return result

def lambda_handler(event, context):
    """
    Genesys Cloud Data Action Lambda Handler.
    """
    try:
        inputs = event.get("inputs", {})
        
        customer_id = inputs.get("customer_id")
        locale = inputs.get("locale", "en-US")
        
        if not customer_id:
            return {
                "result": {
                    "success": False,
                    "message": "Missing required input: customer_id"
                },
                "error": "ValidationError"
            }
        
        api_response = call_external_api(customer_id, locale)
        mapped_result = map_response_to_architect_variables(api_response)
        
        return {
            "result": mapped_result
        }
        
    except requests.exceptions.RequestException as e:
        logger.error(f"External API Error: {str(e)}")
        return {
            "result": {
                "success": False,
                "message": "Failed to connect to external system"
            },
            "error": "ExternalApiError"
        }
    except Exception as e:
        logger.error(f"Unexpected Error: {str(e)}")
        return {
            "result": {
                "success": False,
                "message": "Internal server error"
            },
            "error": "InternalServerError"
        }

Deployment Instructions:

  1. Create a deployment package:

    mkdir lambda_package
cd lambda_package
pip install requests -t .
cp ../lambda_function.py .
zip -r ../lambda_function.zip .
cd ..

  2. Create the Lambda function in AWS:

    aws lambda create-function \
  --function-name GenesysDataActionExample \
  --zip-file fileb://lambda_function.zip \
  --handler lambda_function.lambda_handler \
  --runtime python3.9 \
  --role arn:aws:iam::YOUR_ACCOUNT_ID:role/LambdaExecutionRole \
  --timeout 10 \
  --memory-size 128

  3. Note the Lambda ARN (e.g., arn:aws:lambda:us-east-1:123456789012:function:GenesysDataActionExample).

Configuring the Data Action in Genesys Cloud

  1. Navigate to Admin > Integrations > Data Actions.
  2. Click Add Data Action.
  3. Select AWS Lambda as the provider.
  4. Enter the Lambda ARN from the previous step.
  5. Input Variables:
    • Name: customer_id, Type: String
    • Name: locale, Type: String, Default: en-US
  6. Output Variables:
    • Name: success, Type: Boolean
    • Name: customer_name, Type: String
    • Name: customer_tier, Type: String
    • Name: customer_balance, Type: Decimal
    • Name: account_status, Type: String
    • Name: message, Type: String
  7. Save the Data Action.

Common Errors & Debugging

Error: {"errorMessage": "module 'requests' not found", "errorType": "ModuleNotFoundError"}

Cause: The requests library is not included in the Lambda deployment package.

Fix: Ensure you install dependencies into the deployment directory before zipping. Use the command:

pip install requests -t lambda_package/

Then zip the contents of lambda_package/, not the folder itself.

Error: {"errorMessage": "403 Client Error: Forbidden for url: https://api.example.com/v1/user-info"}

Cause: The external API rejected the request due to missing or invalid authentication headers.

Fix: Add the required authentication headers in the call_external_api function. Store sensitive tokens in AWS Secrets Manager or Lambda Environment Variables, never hardcode them.

api_token = os.environ.get("EXTERNAL_API_TOKEN")
headers["Authorization"] = f"Bearer {api_token}"

Error: {"errorMessage": "Timeout after 5.0 seconds"}

Cause: The external API is taking longer than the EXTERNAL_API_TIMEOUT or the Lambda function timeout.

Fix: Increase the timeout in the requests.get call or increase the Lambda function timeout in the AWS Console. Ensure you set a reasonable timeout to prevent cold starts from blocking Genesys Cloud flows.

Official References