Resolving INVALID_VALUE Errors When Creating Outbound Contact Lists via Genesys Cloud API

Resolving INVALID_VALUE Errors When Creating Outbound Contact Lists via Genesys Cloud API

What You Will Build

  • You will build a Python script that successfully creates a new Outbound contact list in Genesys Cloud CX using the REST API.
  • You will identify the specific field constraints that trigger 400 Bad Request with INVALID_VALUE errors during the POST /api/v2/outbound/contactlists call.
  • You will implement proper payload construction, validation, and error handling to ensure reliable contact list creation.

Prerequisites

  • OAuth Client Type: Private or Public OAuth client with the scope outbound:contactlist:create.
  • API Version: Genesys Cloud v2 API.
  • Language/Runtime: Python 3.8+.
  • External Dependencies: requests library (pip install requests).
  • Environment: An active Genesys Cloud organization with Outbound permissions enabled for the user associated with the OAuth client.

Authentication Setup

Before interacting with the Outbound API, you must obtain a valid access token. The Genesys Cloud API uses OAuth 2.0. For server-to-server integrations, the Client Credentials flow is standard.

import requests
import json

def get_access_token(client_id: str, client_secret: str, env_url: str = "https://api.mypurecloud.com") -> str:
    """
    Obtains an OAuth 2.0 access token using Client Credentials flow.
    
    Args:
        client_id: Your OAuth client ID.
        client_secret: Your OAuth client secret.
        env_url: The base URL for your Genesys Cloud environment.
        
    Returns:
        The access token string.
        
    Raises:
        requests.exceptions.HTTPError: If the authentication request fails.
    """
    token_url = f"{env_url}/oauth/token"
    payload = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }
    
    response = requests.post(token_url, data=payload)
    response.raise_for_status()
    
    token_data = response.json()
    return token_data["access_token"]

# Example Usage
# ENV_URL = "https://api.mypurecloud.com"
# CLIENT_ID = "your_client_id"
# CLIENT_SECRET = "your_client_secret"
# TOKEN = get_access_token(CLIENT_ID, CLIENT_SECRET, ENV_URL)

Note on Scopes: Ensure your OAuth client has the outbound:contactlist:create scope. If you attempt to create a contact list with a token missing this scope, you will receive a 403 Forbidden error, not INVALID_VALUE.

Implementation

Step 1: Constructing the Valid Contact List Payload

The INVALID_VALUE error typically arises from incorrect data types, missing required fields, or violating specific constraints on the name, type, or contactFields attributes.

The POST /api/v2/outbound/contactlists endpoint requires a JSON body conforming to the ContactListCreateRequest schema.

Critical Fields:

  1. name: Must be a non-empty string. It must be unique within the organization.
  2. type: Must be one of the supported types: UPLOAD, API, or SYNC. For most programmatic creations where you will later upload CSV data, use UPLOAD.
  3. contactFields: An array of objects defining the schema of the contact list. Each field must have a name, type, and optionally label.

Common Causes of INVALID_VALUE:

  • Using an unsupported type (e.g., "CUSTOM" instead of "UPLOAD").
  • Providing a name that already exists in the organization.
  • Defining contactFields with invalid types (e.g., "INTEGER" instead of "INTEGER" is fine, but "INT" is not).
  • Leaving contactFields empty when it is required for certain operations or if the API version enforces schema definition.

Here is the correct structure for a basic contact list:

{
  "name": "Marketing_Q1_2024",
  "type": "UPLOAD",
  "contactFields": [
    {
      "name": "firstName",
      "type": "STRING",
      "label": "First Name"
    },
    {
      "name": "lastName",
      "type": "STRING",
      "label": "Last Name"
    },
    {
      "name": "email",
      "type": "STRING",
      "label": "Email Address"
    },
    {
      "name": "phone",
      "type": "STRING",
      "label": "Phone Number"
    }
  ]
}

Step 2: Implementing the API Call with Error Handling

This step demonstrates the actual HTTP POST request. We will include robust error handling to distinguish between INVALID_VALUE (400) and other potential errors.

import requests
import json
from typing import Dict, Any

def create_contact_list(token: str, env_url: str, contact_list_data: Dict[str, Any]) -> Dict[str, Any]:
    """
    Creates a new contact list in Genesys Cloud Outbound.
    
    Args:
        token: The OAuth access token.
        env_url: The base URL for your Genesys Cloud environment.
        contact_list_data: A dictionary containing the contact list definition.
        
    Returns:
        The response JSON from the API.
        
    Raises:
        requests.exceptions.HTTPError: If the request fails.
    """
    api_url = f"{env_url}/api/v2/outbound/contactlists"
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    try:
        response = requests.post(api_url, json=contact_list_data, headers=headers)
        
        # Raise an exception for 4xx and 5xx status codes
        response.raise_for_status()
        
        return response.json()
        
    except requests.exceptions.HTTPError as http_err:
        print(f"HTTP error occurred: {http_err}")
        if response.status_code == 400:
            error_body = response.json()
            print(f"Error Code: {error_body.get('code')}")
            print(f"Message: {error_body.get('message')}")
            print(f"Details: {error_body.get('details')}")
            if "INVALID_VALUE" in str(error_body.get('code', '')):
                print("DEBUG: This is an INVALID_VALUE error. Check the payload structure.")
        raise
    except Exception as err:
        print(f"Other error occurred: {err}")
        raise

# Example Payload
contact_list_payload = {
    "name": "Test_List_Debug",
    "type": "UPLOAD",
    "contactFields": [
        {
            "name": "firstName",
            "type": "STRING",
            "label": "First Name"
        },
        {
            "name": "lastName",
            "type": "STRING",
            "label": "Last Name"
        },
        {
            "name": "email",
            "type": "STRING",
            "label": "Email"
        },
        {
            "name": "phone",
            "type": "STRING",
            "label": "Phone"
        }
    ]
}

# Usage
# result = create_contact_list(TOKEN, ENV_URL, contact_list_payload)
# print(json.dumps(result, indent=2))

Step 3: Processing Results and Validation

Upon successful creation, the API returns a 201 Created status with the newly created contact list object, including its id. This id is required for subsequent operations, such as uploading contacts.

If you receive an INVALID_VALUE error, inspect the details array in the response body. Genesys Cloud often provides specific field-level errors here.

Example Error Response for Invalid Field Type:

{
  "code": "bad_request",
  "message": "Invalid value for contactFields[0].type",
  "status": 400,
  "details": [
    {
      "code": "INVALID_VALUE",
      "message": "Invalid value for contactFields[0].type: 'INT' is not a valid contact field type. Valid types are: STRING, INTEGER, FLOAT, BOOLEAN, DATE, DATETIME, EMAIL, PHONE, ADDRESS, URL, OBJECTID."
    }
  ]
}

Example Error Response for Duplicate Name:

{
  "code": "bad_request",
  "message": "Contact list name 'Marketing_Q1_2024' already exists",
  "status": 400,
  "details": [
    {
      "code": "DUPLICATE_NAME",
      "message": "Contact list name must be unique within the organization."
    }
  ]
}

Complete Working Example

This script combines authentication and contact list creation into a single executable module. Replace the placeholder credentials with your actual OAuth client details.

import requests
import json
import sys
from typing import Dict, Any, Optional

# Configuration
ENV_URL = "https://api.mypurecloud.com"  # Change to your environment (e.g., api.usw2.pure.cloud)
CLIENT_ID = "your_client_id_here"
CLIENT_SECRET = "your_client_secret_here"

def get_access_token(client_id: str, client_secret: str, env_url: str) -> str:
    """
    Obtains an OAuth 2.0 access token using Client Credentials flow.
    """
    token_url = f"{env_url}/oauth/token"
    payload = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }
    
    response = requests.post(token_url, data=payload)
    response.raise_for_status()
    
    token_data = response.json()
    return token_data["access_token"]

def create_contact_list(token: str, env_url: str, contact_list_data: Dict[str, Any]) -> Dict[str, Any]:
    """
    Creates a new contact list in Genesys Cloud Outbound.
    """
    api_url = f"{env_url}/api/v2/outbound/contactlists"
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    response = requests.post(api_url, json=contact_list_data, headers=headers)
    
    # Check for success
    if response.status_code in [200, 201]:
        return response.json()
    
    # Handle errors
    error_body = response.json()
    print(f"API Error Status: {response.status_code}")
    print(f"Error Code: {error_body.get('code')}")
    print(f"Error Message: {error_body.get('message')}")
    
    if "details" in error_body:
        print("Error Details:")
        for detail in error_body["details"]:
            print(f" - {detail.get('code')}: {detail.get('message')}")
            
    raise requests.exceptions.HTTPError(f"Failed to create contact list: {response.status_code}")

def main():
    try:
        # Step 1: Authenticate
        print("Authenticating...")
        token = get_access_token(CLIENT_ID, CLIENT_SECRET, ENV_URL)
        print("Authentication successful.")
        
        # Step 2: Define Contact List
        # IMPORTANT: Ensure the name is unique. Append a timestamp or random ID if testing repeatedly.
        import uuid
        unique_suffix = str(uuid.uuid4())[:8]
        
        contact_list_data = {
            "name": f"Dev_Test_List_{unique_suffix}",
            "type": "UPLOAD",
            "contactFields": [
                {
                    "name": "firstName",
                    "type": "STRING",
                    "label": "First Name"
                },
                {
                    "name": "lastName",
                    "type": "STRING",
                    "label": "Last Name"
                },
                {
                    "name": "email",
                    "type": "STRING",
                    "label": "Email Address"
                },
                {
                    "name": "phone",
                    "type": "STRING",
                    "label": "Phone Number"
                },
                {
                    "name": "age",
                    "type": "INTEGER",
                    "label": "Age"
                }
            ]
        }
        
        # Step 3: Create Contact List
        print(f"Creating contact list: {contact_list_data['name']}")
        result = create_contact_list(token, ENV_URL, contact_list_data)
        
        print("Contact list created successfully!")
        print(f"Contact List ID: {result['id']}")
        print(f"Contact List Name: {result['name']}")
        print(f"Contact List Type: {result['type']}")
        
        # Optional: Print the created schema
        print("Defined Fields:")
        for field in result.get('contactFields', []):
            print(f" - {field['name']} ({field['type']})")
            
    except requests.exceptions.HTTPError as e:
        print(f"HTTP Error: {e}")
        sys.exit(1)
    except Exception as e:
        print(f"Unexpected Error: {e}")
        sys.exit(1)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: INVALID_VALUE for type

What causes it: The type field must be one of the specific enums supported by Genesys Cloud. Common mistakes include using "CSV", "FILE", or "CUSTOM".

How to fix it: Use "UPLOAD" for lists where you will manually or programmatically upload CSV data. Use "API" if you are integrating with an external system via webhook.

Correct Value:

"type": "UPLOAD"

Error: INVALID_VALUE for contactFields[].type

What causes it: The type inside each object in the contactFields array must match the Genesys Cloud schema types.

Valid Types:

  • STRING
  • INTEGER
  • FLOAT
  • BOOLEAN
  • DATE
  • DATETIME
  • EMAIL
  • PHONE
  • ADDRESS
  • URL
  • OBJECTID

How to fix it: Ensure you are using uppercase strings for the type. For example, use "STRING" not "string". Use "INTEGER" not "INT".

Error: DUPLICATE_NAME

What causes it: Contact list names must be unique within the organization. If you run the script multiple times with the same name, the second run will fail.

How to fix it: Include a unique identifier in the name, such as a timestamp or UUID, especially during development and testing.

Example Fix:

import uuid
unique_id = str(uuid.uuid4()).replace("-", "")[:8]
payload["name"] = f"MyContactList_{unique_id}"

Error: 401 Unauthorized

What causes it: The access token is invalid, expired, or missing the required scope.

How to fix it:

  1. Verify the client_id and client_secret are correct.
  2. Ensure the OAuth client has the outbound:contactlist:create scope assigned in the Genesys Cloud Admin Console.
  3. Check that the token is being passed correctly in the Authorization: Bearer <token> header.

Official References