Diagnosing and Resolving INVALID_VALUE Errors in Genesys Cloud Outbound Contact List Creation

What You Will Build

• One sentence: You will build a Python script that programmatically creates an Outbound contact list in Genesys Cloud CX while correctly handling schema validation constraints.
• One sentence: This tutorial uses the Genesys Cloud REST API v2 endpoint /api/v2/outbound/contactlists and the official Python SDK.
• One sentence: The code covers the programming language Python 3.9+ using the requests library for HTTP communication.

Prerequisites

• OAuth client type: Client Credentials Grant is sufficient for most backend integrations, though Authorization Code Grant is required if acting on behalf of a specific user.
• Required OAuth scopes: outbound:contactlist:write is mandatory for creation. outbound:contactlist:read is useful for debugging existing lists.
• SDK version: genesys-cloud-purecloud-platform-client version 180.0.0 or higher.
• Language/runtime requirements: Python 3.9 or later.
• External dependencies: requests, python-dotenv.

Authentication Setup

The Genesys Cloud API requires a valid JWT (JSON Web Token) for every request. For this tutorial, we will use the Client Credentials flow, which is the standard for server-to-server integrations.

import os
import requests
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

GENESYS_DOMAIN = os.getenv("GENESYS_DOMAIN")  # e.g., "mypurecloud.ie.genesys.cloud"
CLIENT_ID = os.getenv("CLIENT_ID")
CLIENT_SECRET = os.getenv("CLIENT_SECRET")

def get_access_token() -> str:
    """
    Retrieves an OAuth2 access token using the Client Credentials flow.
    
    Returns:
        str: The JWT access token.
    
    Raises:
        requests.exceptions.HTTPError: If authentication fails.
    """
    url = f"https://{GENESYS_DOMAIN}/oauth/token"
    
    # The grant_type must be 'client_credentials' for this flow.
    # Do not include username/password here.
    payload = {
        "grant_type": "client_credentials"
    }
    
    # Basic Auth header is constructed from Client ID and Client Secret
    # Note: requests handles the base64 encoding automatically with auth tuple
    response = requests.post(
        url,
        data=payload,
        auth=(CLIENT_ID, CLIENT_SECRET),
        headers={"Content-Type": "application/x-www-form-urlencoded"}
    )
    
    response.raise_for_status()
    return response.json()["access_token"]

# Example usage
token = get_access_token()
print(f"Token acquired successfully. Length: {len(token)}")

Implementation

Step 1: Understanding the Contact List Schema

The INVALID_VALUE error typically occurs because the JSON payload sent to /api/v2/outbound/contactlists violates the strict schema definition. The most common causes are:

1. Invalid Column Types: The type field in a column definition must be one of the supported types (text, number, date, datetime, boolean, email, phone).
2. Missing Required Fields: The name field is required. The columns array is required and cannot be empty.
3. Invalid Date Formats: If using date or datetime types, the format must adhere to ISO 8601.
4. Duplicate Column Names: Each column in the columns array must have a unique name.

Here is the correct structure for the request body. Note that the columns array defines the schema of the CSV or Excel file you will eventually upload.

def create_contact_list_payload(name: str, columns: list[dict]) -> dict:
    """
    Constructs the JSON payload for creating a contact list.
    
    Args:
        name: The name of the contact list.
        columns: A list of dictionaries defining the columns.
        
    Returns:
        dict: The JSON-serializable payload.
    """
    payload = {
        "name": name,
        "columns": columns
    }
    return payload

Step 2: Constructing a Valid Column Definition

A common source of INVALID_VALUE is an incorrect type string or missing name in a column definition.

Valid Column Structure:

{
  "name": "first_name",
  "type": "text",
  "label": "First Name"
}

Invalid Examples (Causing INVALID_VALUE):

// Error: 'integer' is not a valid type. Use 'number'.
{
  "name": "age",
  "type": "integer" 
}

// Error: 'phone_number' is not valid. Use 'phone'.
{
  "name": "mobile",
  "type": "phone_number"
}

// Error: Missing 'name' field
{
  "type": "text",
  "label": "Email Address"
}

Step 3: Making the API Call with Error Handling

We will now combine the authentication and payload construction into a robust function that handles the INVALID_VALUE error specifically.

import json
from typing import Optional

def create_outbound_contact_list(
    token: str, 
    list_name: str, 
    columns: list[dict]
) -> Optional[dict]:
    """
    Creates a new Outbound contact list in Genesys Cloud.
    
    Args:
        token: OAuth2 access token.
        list_name: Name of the contact list.
        columns: List of column definitions.
        
    Returns:
        dict: The created contact list object, or None if creation failed.
    """
    url = f"https://{GENESYS_DOMAIN}/api/v2/outbound/contactlists"
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    payload = create_contact_list_payload(list_name, columns)
    
    try:
        response = requests.post(url, headers=headers, json=payload)
        
        # Check for success
        if response.status_code == 201:
            print(f"Contact list '{list_name}' created successfully.")
            return response.json()
        
        # Handle specific errors
        if response.status_code == 400:
            error_body = response.json()
            print(f"Bad Request (400): {json.dumps(error_body, indent=2)}")
            
            # Specific handling for INVALID_VALUE
            if "errors" in error_body:
                for error in error_body["errors"]:
                    if error.get("errorCode") == "INVALID_VALUE":
                        print(f"INVALID_VALUE Error on field '{error.get('fieldName')}': {error.get('message')}")
            return None
        
        elif response.status_code == 401:
            print("Unauthorized (401): Token is invalid or expired.")
            return None
        
        elif response.status_code == 403:
            print("Forbidden (403): Missing required scope 'outbound:contactlist:write'.")
            return None
        
        elif response.status_code == 429:
            print("Rate Limited (429): Too many requests. Retry after delay.")
            return None
        
        else:
            print(f"Unexpected Error ({response.status_code}): {response.text}")
            return None
            
    except requests.exceptions.RequestException as e:
        print(f"Network error: {e}")
        return None

Step 4: Executing the Creation with Valid Data

Here is how you call the function with a valid payload. This example creates a list with a text column and a phone column.

if __name__ == "__main__":
    # Define columns correctly
    valid_columns = [
        {
            "name": "first_name",
            "type": "text",
            "label": "First Name"
        },
        {
            "name": "last_name",
            "type": "text",
            "label": "Last Name"
        },
        {
            "name": "mobile_phone",
            "type": "phone",  # Must be 'phone', not 'phone_number'
            "label": "Mobile Phone"
        },
        {
            "name": "opt_in_date",
            "type": "date",   # Must be 'date' or 'datetime'
            "label": "Opt In Date"
        }
    ]
    
    # Get token
    access_token = get_access_token()
    
    # Create list
    result = create_outbound_contact_list(
        token=access_token,
        list_name="Test List - API Created",
        columns=valid_columns
    )
    
    if result:
        print(f"List ID: {result['id']}")
        print(f"List Name: {result['name']}")
        print(f"List State: {result['state']}")

Complete Working Example

Below is the full, copy-pasteable script. Save this as create_contact_list.py.

"""
Genesys Cloud Outbound Contact List Creator
------------------------------------------
This script creates an Outbound contact list via the Genesys Cloud API.
It demonstrates proper handling of the INVALID_VALUE error by ensuring
correct column types and schema compliance.

Prerequisites:
1. Install dependencies: pip install requests python-dotenv
2. Create a .env file with:
   GENESYS_DOMAIN=mydomain.genesis.cloud
   CLIENT_ID=your_client_id
   CLIENT_SECRET=your_client_secret
"""

import os
import json
import requests
from dotenv import load_dotenv
from typing import Optional, List, Dict

# Load environment variables
load_dotenv()

GENESYS_DOMAIN = os.getenv("GENESYS_DOMAIN")
CLIENT_ID = os.getenv("CLIENT_ID")
CLIENT_SECRET = os.getenv("CLIENT_SECRET")

if not all([GENESYS_DOMAIN, CLIENT_ID, CLIENT_SECRET]):
    raise ValueError("Missing environment variables: GENESYS_DOMAIN, CLIENT_ID, CLIENT_SECRET")

def get_access_token() -> str:
    """
    Retrieves an OAuth2 access token using Client Credentials flow.
    """
    url = f"https://{GENESYS_DOMAIN}/oauth/token"
    payload = {"grant_type": "client_credentials"}
    
    try:
        response = requests.post(
            url,
            data=payload,
            auth=(CLIENT_ID, CLIENT_SECRET),
            headers={"Content-Type": "application/x-www-form-urlencoded"},
            timeout=10
        )
        response.raise_for_status()
        return response.json()["access_token"]
    except requests.exceptions.HTTPError as e:
        print(f"Authentication failed: {e.response.text}")
        raise
    except requests.exceptions.RequestException as e:
        print(f"Network error during authentication: {e}")
        raise

def validate_column_type(col_type: str) -> bool:
    """
    Validates that the column type is one of the supported Genesys Cloud types.
    """
    valid_types = ["text", "number", "date", "datetime", "boolean", "email", "phone"]
    return col_type in valid_types

def create_outbound_contact_list(
    token: str, 
    list_name: str, 
    columns: List[Dict]
) -> Optional[Dict]:
    """
    Creates a new Outbound contact list.
    """
    if not columns:
        print("Error: Columns list cannot be empty.")
        return None

    # Pre-validation to catch obvious errors before hitting API
    for col in columns:
        if "name" not in col or "type" not in col:
            print(f"Error: Column missing 'name' or 'type': {col}")
            return None
        if not validate_column_type(col["type"]):
            print(f"Error: Invalid column type '{col['type']}' for column '{col.get('name', 'unknown')}'. "
                  f"Must be one of: {validate_column_type.__doc__}")
            return None
    
    # Check for duplicate column names
    col_names = [col["name"] for col in columns]
    if len(col_names) != len(set(col_names)):
        print("Error: Duplicate column names detected.")
        return None

    url = f"https://{GENESYS_DOMAIN}/api/v2/outbound/contactlists"
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    payload = {
        "name": list_name,
        "columns": columns
    }
    
    try:
        print(f"Attempting to create list: {list_name}")
        response = requests.post(url, headers=headers, json=payload, timeout=10)
        
        if response.status_code == 201:
            result = response.json()
            print(f"Success! List ID: {result['id']}")
            return result
        
        elif response.status_code == 400:
            error_body = response.json()
            print(f"Bad Request (400):")
            print(json.dumps(error_body, indent=2))
            
            if "errors" in error_body:
                for error in error_body["errors"]:
                    if error.get("errorCode") == "INVALID_VALUE":
                        print(f"\n>> INVALID_VALUE on field '{error.get('fieldName')}': {error.get('message')}")
            return None
        
        elif response.status_code == 401:
            print("Unauthorized (401): Token invalid or expired.")
            return None
        
        elif response.status_code == 403:
            print("Forbidden (403): Ensure your OAuth client has 'outbound:contactlist:write' scope.")
            return None
        
        elif response.status_code == 429:
            print("Rate Limited (429): Please wait before retrying.")
            return None
        
        else:
            print(f"Unexpected Error ({response.status_code}): {response.text}")
            return None
            
    except requests.exceptions.RequestException as e:
        print(f"Network error: {e}")
        return None

if __name__ == "__main__":
    try:
        # Step 1: Get Token
        access_token = get_access_token()
        
        # Step 2: Define Columns
        # Note: Types must be exact. 'phone' not 'phone_number'. 'date' not 'timestamp'.
        columns = [
            {
                "name": "customer_id",
                "type": "text",
                "label": "Customer ID"
            },
            {
                "name": "first_name",
                "type": "text",
                "label": "First Name"
            },
            {
                "name": "last_name",
                "type": "text",
                "label": "Last Name"
            },
            {
                "name": "email_address",
                "type": "email",
                "label": "Email Address"
            },
            {
                "name": "mobile",
                "type": "phone",
                "label": "Mobile Phone"
            },
            {
                "name": "last_purchase_date",
                "type": "date",
                "label": "Last Purchase Date"
            }
        ]
        
        # Step 3: Create List
        created_list = create_outbound_contact_list(
            token=access_token,
            list_name="API Test List - Do Not Delete",
            columns=columns
        )
        
        if created_list:
            print("\n--- List Details ---")
            print(f"ID: {created_list['id']}")
            print(f"Name: {created_list['name']}")
            print(f"State: {created_list['state']}")
            print(f"Total Contacts: {created_list['contactCount']}")
            
    except Exception as e:
        print(f"Fatal error: {e}")

Common Errors & Debugging

Error: INVALID_VALUE on field ‘columns’

What causes it:
The columns array contains an object with an invalid type value. The Genesys Cloud API is strict about the data types defined in the schema.

How to fix it:
Ensure the type field matches one of the following exactly: text, number, date, datetime, boolean, email, phone.

Code showing the fix:

# Incorrect
{ "name": "age", "type": "integer" } 

# Correct
{ "name": "age", "type": "number" }

# Incorrect
{ "name": "phone", "type": "phone_number" }

# Correct
{ "name": "phone", "type": "phone" }

Error: INVALID_VALUE on field ‘name’

What causes it:
The name field in the root payload or in a column definition is empty, null, or contains illegal characters.

How to fix it:
Ensure the name field is a non-empty string. For column names, use only alphanumeric characters and underscores. Avoid spaces in column name (use label for display names with spaces).

Code showing the fix:

# Incorrect
{ "name": " ", "type": "text" }

# Correct
{ "name": "first_name", "type": "text", "label": "First Name" }

Error: 403 Forbidden

What causes it:
The OAuth token does not have the required scope.

How to fix it:
Check your OAuth client settings in the Genesys Cloud Admin portal. Ensure the scope outbound:contactlist:write is added to the client.

Error: 409 Conflict

What causes it:
A contact list with the same name already exists in the organization.

How to fix it:
Either delete the existing list or provide a unique name. You can append a timestamp or random suffix to the name for testing.

Official References

• Genesys Cloud API: Create Contact List
• Genesys Cloud Python SDK Documentation
• Outbound Contact List Schema