Building a Custom Data Action to Call External APIs in Genesys Cloud Architect

What You Will Build

• A Python-based Genesys Cloud Data Action that executes a POST request to an external REST API.
• Logic that parses the JSON response and maps specific fields to Genesys Cloud Architect flow variables.
• Code that handles authentication, payload construction, and error propagation within the Genesys Cloud Data Action framework.

Prerequisites

• Genesys Cloud Account: Access to the Genesys Cloud Developer Sandbox or Production environment.
• OAuth Application: A client ID and client secret for an OAuth application with the dataactions:write and dataactions:read scopes.
• Python Environment: Python 3.9+ installed.
• Dependencies: requests library for HTTP calls.
• External API: A target REST endpoint for testing (e.g., httpbin.org/post or a mock server).

Authentication Setup

Before creating the Data Action, you must authenticate with the Genesys Cloud Platform API. The following Python snippet demonstrates how to obtain an access token using the Client Credentials flow. This token is required to upload the Data Action definition.

import requests
import json

# Configuration
CLIENT_ID = "your_client_id"
CLIENT_SECRET = "your_client_secret"
ORGANIZATION_ID = "your_organization_id"
AUTH_URL = f"https://api.mypurecloud.com/oauth/token"

def get_access_token() -> str:
    """
    Obtains an OAuth2 access token using Client Credentials flow.
    """
    headers = {
        "Content-Type": "application/x-www-form-urlencoded"
    }
    
    # The grant_type is client_credentials for server-to-server communication
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }
    
    try:
        response = requests.post(AUTH_URL, headers=headers, data=data)
        response.raise_for_status()
        token_data = response.json()
        return token_data["access_token"]
    except requests.exceptions.HTTPError as http_err:
        print(f"HTTP error occurred: {http_err}")
        raise
    except Exception as err:
        print(f"Other error occurred: {err}")
        raise

# Retrieve token
ACCESS_TOKEN = get_access_token()

Implementation

Step 1: Define the Data Action Schema

A Genesys Cloud Data Action is defined by a JSON schema that specifies inputs (parameters) and outputs (return values). You must define these before writing the execution logic.

The inputs object defines what variables from the Architect flow are passed into the Data Action. The outputs object defines what values are returned to the flow.

{
  "name": "ExternalApiCall",
  "description": "Calls an external REST API and maps response fields to flow variables.",
  "inputs": {
    "apiEndpoint": {
      "type": "string",
      "description": "The URL of the external API endpoint."
    },
    "httpMethod": {
      "type": "string",
      "description": "The HTTP method to use (GET, POST, PUT, DELETE).",
      "default": "POST"
    },
    "requestBody": {
      "type": "object",
      "description": "The JSON body to send with the request."
    },
    "headers": {
      "type": "object",
      "description": "Custom headers to include in the request."
    }
  },
  "outputs": {
    "statusCode": {
      "type": "integer",
      "description": "The HTTP status code returned by the external API."
    },
    "responseBody": {
      "type": "object",
      "description": "The parsed JSON response body."
    },
    "errorMessage": {
      "type": "string",
      "description": "Error message if the request failed."
    }
  }
}

Step 2: Implement the Execution Logic

The core of the Data Action is the execution logic. In Genesys Cloud, this logic is embedded within the Data Action definition under the execution key. For simple HTTP calls, you can use JavaScript (Node.js runtime) or Python. Here, we use JavaScript because it is natively supported in the Genesys Cloud Data Action runtime without requiring external containerization for basic HTTP tasks.

Note: Genesys Cloud Data Actions support a limited JavaScript environment. You cannot use fetch directly in older versions, but https module is available. However, for modern Data Actions, it is often easier to use the requests library if deploying via a custom container, or stick to the built-in https module for serverless execution.

Below is the JavaScript execution code that runs inside the Genesys Cloud Data Action engine.

// This code runs inside the Genesys Cloud Data Action execution context
const https = require('https');
const http = require('http');

function execute(context, callback) {
    const { apiEndpoint, httpMethod, requestBody, headers } = context.inputs;

    // Validate inputs
    if (!apiEndpoint) {
        callback({
            statusCode: 400,
            errorMessage: "apiEndpoint is required."
        });
        return;
    }

    // Parse URL to determine protocol
    let parsedUrl;
    try {
        parsedUrl = new URL(apiEndpoint);
    } catch (e) {
        callback({
            statusCode: 400,
            errorMessage: "Invalid API endpoint URL."
        });
        return;
    }

    const protocol = parsedUrl.protocol === 'https:' ? https : http;

    // Prepare options
    const options = {
        hostname: parsedUrl.hostname,
        port: parsedUrl.port || (parsedUrl.protocol === 'https:' ? 443 : 80),
        path: parsedUrl.pathname + parsedUrl.search,
        method: httpMethod || 'POST',
        headers: headers || {}
    };

    // Set Content-Type if not present and body exists
    if (requestBody && !options.headers['Content-Type']) {
        options.headers['Content-Type'] = 'application/json';
    }

    const req = protocol.request(options, (res) => {
        let body = '';

        res.on('data', (chunk) => {
            body += chunk;
        });

        res.on('end', () => {
            let responseBody;
            try {
                responseBody = JSON.parse(body);
            } catch (e) {
                responseBody = body; // Keep as string if not JSON
            }

            callback({
                statusCode: res.statusCode,
                responseBody: responseBody,
                errorMessage: res.statusCode >= 400 ? `HTTP Error: ${res.statusCode}` : null
            });
        });
    });

    req.on('error', (e) => {
        callback({
            statusCode: 500,
            errorMessage: `Request failed: ${e.message}`
        });
    });

    // Send body if present
    if (requestBody) {
        req.write(JSON.stringify(requestBody));
    }

    req.end();
}

Step 3: Construct and Upload the Data Action

Now, you combine the schema and the execution logic into a single JSON payload and upload it to Genesys Cloud using the POST /api/v2/dataactions endpoint.

import requests
import json

# Reuse ACCESS_TOKEN from Step 1

DATA_ACTION_DEFINITION = {
    "name": "ExternalApiCall",
    "description": "Calls an external REST API and maps response fields to flow variables.",
    "inputs": {
        "apiEndpoint": {
            "type": "string",
            "description": "The URL of the external API endpoint."
        },
        "httpMethod": {
            "type": "string",
            "description": "The HTTP method to use.",
            "default": "POST"
        },
        "requestBody": {
            "type": "object",
            "description": "The JSON body to send."
        },
        "headers": {
            "type": "object",
            "description": "Custom headers."
        }
    },
    "outputs": {
        "statusCode": {
            "type": "integer",
            "description": "The HTTP status code."
        },
        "responseBody": {
            "type": "object",
            "description": "The parsed JSON response body."
        },
        "errorMessage": {
            "type": "string",
            "description": "Error message if failed."
        }
    },
    "execution": {
        "type": "javascript",
        "code": """
        const https = require('https');
        const http = require('http');

        function execute(context, callback) {
            const { apiEndpoint, httpMethod, requestBody, headers } = context.inputs;

            if (!apiEndpoint) {
                callback({ statusCode: 400, errorMessage: "apiEndpoint is required." });
                return;
            }

            let parsedUrl;
            try {
                parsedUrl = new URL(apiEndpoint);
            } catch (e) {
                callback({ statusCode: 400, errorMessage: "Invalid API endpoint URL." });
                return;
            }

            const protocol = parsedUrl.protocol === 'https:' ? https : http;

            const options = {
                hostname: parsedUrl.hostname,
                port: parsedUrl.port || (parsedUrl.protocol === 'https:' ? 443 : 80),
                path: parsedUrl.pathname + parsedUrl.search,
                method: httpMethod || 'POST',
                headers: headers || {}
            };

            if (requestBody && !options.headers['Content-Type']) {
                options.headers['Content-Type'] = 'application/json';
            }

            const req = protocol.request(options, (res) => {
                let body = '';
                res.on('data', (chunk) => { body += chunk; });
                res.on('end', () => {
                    let responseBody;
                    try {
                        responseBody = JSON.parse(body);
                    } catch (e) {
                        responseBody = body;
                    }
                    callback({
                        statusCode: res.statusCode,
                        responseBody: responseBody,
                        errorMessage: res.statusCode >= 400 ? `HTTP Error: ${res.statusCode}` : null
                    });
                });
            });

            req.on('error', (e) => {
                callback({ statusCode: 500, errorMessage: `Request failed: ${e.message}` });
            });

            if (requestBody) {
                req.write(JSON.stringify(requestBody));
            }
            req.end();
        }
        """
    }
}

def create_data_action(token: str, definition: dict) -> dict:
    """
    Creates a new Data Action in Genesys Cloud.
    """
    url = "https://api.mypurecloud.com/api/v2/dataactions"
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }
    
    try:
        response = requests.post(url, headers=headers, json=definition)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.HTTPError as http_err:
        print(f"HTTP error occurred: {http_err}")
        print(f"Response body: {http_err.response.text}")
        raise
    except Exception as err:
        print(f"Other error occurred: {err}")
        raise

# Create the Data Action
result = create_data_action(ACCESS_TOKEN, DATA_ACTION_DEFINITION)
print(f"Data Action Created with ID: {result['id']}")

Complete Working Example

The following script combines authentication, definition, and creation into a single runnable file.

import requests
import json

# --- Configuration ---
CLIENT_ID = "your_client_id"
CLIENT_SECRET = "your_client_secret"
ORGANIZATION_ID = "your_organization_id"
AUTH_URL = f"https://api.mypurecloud.com/oauth/token"
API_URL = "https://api.mypurecloud.com/api/v2/dataactions"

# --- Step 1: Authentication ---
def get_access_token() -> str:
    headers = {"Content-Type": "application/x-www-form-urlencoded"}
    data = {
        "grant_type": "client_credentials",
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET
    }
    response = requests.post(AUTH_URL, headers=headers, data=data)
    response.raise_for_status()
    return response.json()["access_token"]

# --- Step 2: Data Action Definition ---
def get_data_action_definition() -> dict:
    return {
        "name": "ExternalApiCall",
        "description": "Calls an external REST API and maps response fields to flow variables.",
        "inputs": {
            "apiEndpoint": {"type": "string", "description": "The URL of the external API endpoint."},
            "httpMethod": {"type": "string", "description": "The HTTP method to use.", "default": "POST"},
            "requestBody": {"type": "object", "description": "The JSON body to send."},
            "headers": {"type": "object", "description": "Custom headers."}
        },
        "outputs": {
            "statusCode": {"type": "integer", "description": "The HTTP status code."},
            "responseBody": {"type": "object", "description": "The parsed JSON response body."},
            "errorMessage": {"type": "string", "description": "Error message if failed."}
        },
        "execution": {
            "type": "javascript",
            "code": """
            const https = require('https');
            const http = require('http');

            function execute(context, callback) {
                const { apiEndpoint, httpMethod, requestBody, headers } = context.inputs;

                if (!apiEndpoint) {
                    callback({ statusCode: 400, errorMessage: "apiEndpoint is required." });
                    return;
                }

                let parsedUrl;
                try {
                    parsedUrl = new URL(apiEndpoint);
                } catch (e) {
                    callback({ statusCode: 400, errorMessage: "Invalid API endpoint URL." });
                    return;
                }

                const protocol = parsedUrl.protocol === 'https:' ? https : http;

                const options = {
                    hostname: parsedUrl.hostname,
                    port: parsedUrl.port || (parsedUrl.protocol === 'https:' ? 443 : 80),
                    path: parsedUrl.pathname + parsedUrl.search,
                    method: httpMethod || 'POST',
                    headers: headers || {}
                };

                if (requestBody && !options.headers['Content-Type']) {
                    options.headers['Content-Type'] = 'application/json';
                }

                const req = protocol.request(options, (res) => {
                    let body = '';
                    res.on('data', (chunk) => { body += chunk; });
                    res.on('end', () => {
                        let responseBody;
                        try {
                            responseBody = JSON.parse(body);
                        } catch (e) {
                            responseBody = body;
                        }
                        callback({
                            statusCode: res.statusCode,
                            responseBody: responseBody,
                            errorMessage: res.statusCode >= 400 ? `HTTP Error: ${res.statusCode}` : null
                        });
                    });
                });

                req.on('error', (e) => {
                    callback({ statusCode: 500, errorMessage: `Request failed: ${e.message}` });
                });

                if (requestBody) {
                    req.write(JSON.stringify(requestBody));
                }
                req.end();
            }
            """
        }
    }

# --- Step 3: Create Data Action ---
def create_data_action(token: str, definition: dict) -> dict:
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }
    response = requests.post(API_URL, headers=headers, json=definition)
    response.raise_for_status()
    return response.json()

if __name__ == "__main__":
    try:
        token = get_access_token()
        definition = get_data_action_definition()
        result = create_data_action(token, definition)
        print(f"Success! Data Action ID: {result['id']}")
        print(f"Data Action Name: {result['name']}")
    except Exception as e:
        print(f"Failed: {e}")

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token is expired, invalid, or missing.
• Fix: Ensure the get_access_token function is called before every API request. Tokens expire after 3600 seconds (1 hour). Implement token caching and refresh logic in production.

Error: 400 Bad Request

• Cause: The Data Action definition JSON is malformed, or the inputs/outputs schema is invalid.
• Fix: Validate the JSON structure against the Genesys Cloud Data Action schema. Ensure all required fields (name, inputs, outputs, execution) are present. Check for syntax errors in the embedded JavaScript code.

Error: 403 Forbidden

• Cause: The OAuth application lacks the dataactions:write scope.
• Fix: Edit the OAuth application in the Genesys Cloud Admin portal. Add the dataactions:write scope to the “Scopes” section.

Error: 500 Internal Server Error in Data Action Execution

• Cause: The external API is unreachable, or the JavaScript code throws an unhandled exception.
• Fix: Check the errorMessage output in the Architect flow. Ensure the apiEndpoint is correct and accessible from the Genesys Cloud cloud environment (which may have restricted outbound access). Add try-catch blocks around external calls in the JavaScript code.

Official References

• Genesys Cloud Data Actions API Documentation
• Genesys Cloud Architect Data Action Guide
• Node.js HTTPS Module Documentation