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

What You Will Build

• A robust Python script that creates a new Outbound Contact List in Genesys Cloud while handling validation errors and schema requirements.
• This tutorial uses the Genesys Cloud API v2 and the genesys-cloud-python SDK.
• The code covers authentication, payload construction, and precise error handling for 400 Bad Request and INVALID_VALUE responses.

Prerequisites

OAuth Configuration

To interact with the Outbound API, your OAuth Client requires specific scopes. Ensure your client is configured with:

• outbound:contactlist:create
• outbound:contactlist:read (optional, but recommended for verification)

Environment Requirements

• Python Version: 3.8 or higher.
• SDK Version: genesys-cloud-python >= 150.0.0.
• Dependencies: Install the SDK using pip:

  pip install genesys-cloud-python
  

API Endpoint Reference

The core endpoint for this operation is:

• POST /api/v2/outbound/contactlists

Authentication Setup

Genesys Cloud uses OAuth 2.0 for authentication. For server-to-server integrations, the Client Credentials flow is standard. The Python SDK handles token caching and refresh automatically once initialized, but you must provide the client ID, client secret, and environment URL.

from purecloudplatformclientv2 import (
    Configuration,
    ApiClient,
    OutboundApi,
    ContactListCreateRequest
)
import os
import sys

def initialize_outbound_api() -> OutboundApi:
    """
    Initializes the Outbound API client with OAuth credentials.
    Raises an exception if configuration is missing.
    """
    # Load credentials from environment variables
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    environment = os.getenv("GENESYS_ENVIRONMENT", "mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set.")

    # Configure the OAuth client
    oauth_config = Configuration()
    oauth_config.client_id = client_id
    oauth_config.client_secret = client_secret
    oauth_config.host = f"https://api.{environment}"
    
    # Create the API client
    api_client = ApiClient(configuration=oauth_config)
    
    # Instantiate the Outbound API interface
    outbound_api = OutboundApi(api_client)
    
    return outbound_api

This setup ensures that every subsequent call includes a valid Bearer token. If the token expires, the SDK automatically requests a new one, preventing 401 Unauthorized errors during long-running batch operations.

Implementation

Step 1: Constructing the Contact List Payload

The INVALID_VALUE error typically occurs because the ContactListCreateRequest object is incomplete or contains data types that do not match the strict schema of the Genesys Cloud API. The API requires at minimum a name and a type.

Common mistakes include:

1. Omitting the type field (defaults may vary or be rejected based on tenant settings).
2. Providing an invalid type string (e.g., “CSV” instead of “CSV_FILE”).
3. Including contacts in the create request (contacts must be added via a separate batch import endpoint).

Below is the correct structure for a basic CSV-based contact list.

from purecloudplatformclientv2 import ContactListCreateRequest

def create_contact_list_payload(name: str, description: str = None) -> ContactListCreateRequest:
    """
    Constructs a valid ContactListCreateRequest object.
    
    Args:
        name: The unique name of the contact list.
        description: Optional description of the list.
        
    Returns:
        A configured ContactListCreateRequest object.
    """
    # Initialize the request object
    contact_list_request = ContactListCreateRequest()
    
    # Set required fields
    contact_list_request.name = name
    
    # Set the type. Valid values are typically:
    # - CSV_FILE: For lists imported via CSV files
    # - API: For lists populated via API calls
    contact_list_request.type = "CSV_FILE"
    
    # Optional: Set description
    if description:
        contact_list_request.description = description
        
    # Optional: Set columns if you want to define the schema upfront
    # This is critical if you plan to upload a CSV immediately after creation.
    # If omitted, Genesys may infer columns from the first upload, but explicit definition is safer.
    columns = [
        {
            "name": "name",
            "type": "STRING",
            "required": True
        },
        {
            "name": "phone",
            "type": "PHONE",
            "required": True
        },
        {
            "name": "email",
            "type": "EMAIL",
            "required": False
        }
    ]
    contact_list_request.columns = columns
    
    return contact_list_request

Why this structure prevents INVALID_VALUE:

• The type is explicitly set to "CSV_FILE". Using an undefined type causes a schema validation error.
• The columns array defines the data schema. If you omit this, the API may reject subsequent imports if the inferred types conflict with your data.
• No contacts array is included. Adding contacts during creation is not supported for large lists and often triggers validation errors if the format is incorrect.

Step 2: Executing the Create Request with Error Handling

The API returns a 201 Created status on success. However, if the payload is invalid, it returns a 400 Bad Request. The response body contains a errors array with detailed messages.

We must catch the ApiException from the SDK to inspect the response code and body.

from purecloudplatformclientv2.rest import ApiException
import json

def create_contact_list(outbound_api: OutboundApi, name: str, description: str = None) -> dict:
    """
    Creates a new contact list and handles potential INVALID_VALUE errors.
    
    Args:
        outbound_api: The initialized OutboundApi client.
        name: The name of the contact list.
        description: Optional description.
        
    Returns:
        The response dictionary from the API.
    """
    try:
        # Step 1: Build the payload
        payload = create_contact_list_payload(name, description)
        
        # Step 2: Make the API call
        # The SDK method is post_outbound_contactlists
        response = outbound_api.post_outbound_contactlists(body=payload)
        
        print(f"Successfully created contact list: {response.id}")
        print(f"Response Body: {json.dumps(response.to_dict(), indent=2)}")
        
        return response.to_dict()
        
    except ApiException as e:
        # Handle specific HTTP status codes
        if e.status == 400:
            print(f"Bad Request (400): {e.reason}")
            print(f"Response Body: {e.body}")
            
            # Parse the error body to extract specific validation messages
            try:
                error_data = json.loads(e.body)
                if 'errors' in error_data:
                    for err in error_data['errors']:
                        print(f"Validation Error: {err.get('message', 'Unknown error')}")
                        if 'field' in err:
                            print(f"  Field: {err['field']}")
            except json.JSONDecodeError:
                print("Could not parse error response body.")
            
            raise ValueError("Failed to create contact list due to invalid payload.") from e
            
        elif e.status == 409:
            print(f"Conflict (409): Contact list with name '{name}' already exists.")
            raise ValueError("Contact list already exists.") from e
            
        elif e.status == 401 or e.status == 403:
            print(f"Authentication/Authorization Error ({e.status}): {e.reason}")
            raise PermissionError("Check OAuth scopes and credentials.") from e
            
        else:
            print(f"Unexpected Error ({e.status}): {e.reason}")
            raise e

Step 3: Diagnosing Common INVALID_VALUE Scenarios

The INVALID_VALUE error is generic. The specific cause is hidden in the errors array of the JSON response. Below are the three most common causes and how to fix them.

Scenario 1: Missing or Invalid type

If you omit the type field, the API may default to a type that requires additional fields you have not provided.

Error Response:

{
  "errors": [
    {
      "message": "Invalid value for type",
      "field": "type"
    }
  ]
}

Fix: Explicitly set type = "CSV_FILE" or type = "API" in the ContactListCreateRequest.

Scenario 2: Column Type Mismatch

If you define columns with invalid types or missing required attributes, the API rejects the request.

Error Response:

{
  "errors": [
    {
      "message": "Invalid column definition",
      "field": "columns[0].type"
    }
  ]
}

Fix: Ensure column types are valid Genesys Cloud types: STRING, NUMBER, PHONE, EMAIL, DATE, DATETIME, BOOLEAN. Ensure name is a unique string within the columns array.

Scenario 3: Duplicate Name

While this often returns 409 Conflict, some tenants or older API versions may return 400 with an INVALID_VALUE error if the name is not unique.

Fix: Check for existing lists with the same name using get_outbound_contactlists before creating.

Complete Working Example

This script combines authentication, payload construction, and error handling into a single runnable module.

import os
import sys
import json
from purecloudplatformclientv2 import (
    Configuration,
    ApiClient,
    OutboundApi,
    ContactListCreateRequest
)
from purecloudplatformclientv2.rest import ApiException

def initialize_outbound_api() -> OutboundApi:
    """Initializes the Outbound API client."""
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    environment = os.getenv("GENESYS_ENVIRONMENT", "mypurecloud.com")

    if not client_id or not client_secret:
        raise ValueError("GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET must be set.")

    oauth_config = Configuration()
    oauth_config.client_id = client_id
    oauth_config.client_secret = client_secret
    oauth_config.host = f"https://api.{environment}"
    
    api_client = ApiClient(configuration=oauth_config)
    return OutboundApi(api_client)

def create_contact_list_payload(name: str, description: str = None) -> ContactListCreateRequest:
    """Constructs a valid ContactListCreateRequest object."""
    contact_list_request = ContactListCreateRequest()
    contact_list_request.name = name
    contact_list_request.type = "CSV_FILE"
    
    if description:
        contact_list_request.description = description
        
    # Define columns explicitly to prevent schema inference errors
    columns = [
        {"name": "name", "type": "STRING", "required": True},
        {"name": "phone", "type": "PHONE", "required": True},
        {"name": "email", "type": "EMAIL", "required": False}
    ]
    contact_list_request.columns = columns
    
    return contact_list_request

def main():
    # 1. Initialize API
    try:
        outbound_api = initialize_outbound_api()
    except ValueError as e:
        print(f"Configuration Error: {e}")
        sys.exit(1)

    # 2. Define Contact List Details
    list_name = "Test_Contact_List_Debugging"
    list_description = "Created via API for debugging INVALID_VALUE errors"

    # 3. Create Payload
    payload = create_contact_list_payload(list_name, list_description)

    # 4. Execute Create Request
    try:
        print(f"Attempting to create contact list: {list_name}")
        response = outbound_api.post_outbound_contactlists(body=payload)
        
        print("-" * 50)
        print("SUCCESS")
        print("-" * 50)
        print(f"Contact List ID: {response.id}")
        print(f"Contact List Name: {response.name}")
        print(f"Contact List Type: {response.type}")
        print(f"Columns: {json.dumps(response.columns, indent=2)}")
        
    except ApiException as e:
        print("-" * 50)
        print("ERROR")
        print("-" * 50)
        print(f"Status Code: {e.status}")
        print(f"Reason: {e.reason}")
        
        if e.body:
            try:
                error_json = json.loads(e.body)
                print("Error Details:")
                print(json.dumps(error_json, indent=2))
            except json.JSONDecodeError:
                print(f"Raw Body: {e.body}")
        sys.exit(1)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 400 Bad Request - INVALID_VALUE

What causes it:
The most common cause is an incomplete ContactListCreateRequest. The Genesys Cloud API is strict about schema validation. If you omit the type, the API may not know how to process the list, especially if you are trying to define columns.

How to fix it:

1. Verify that type is set to "CSV_FILE" or "API".
2. Verify that columns is an array of objects, each with name, type, and optionally required.
3. Ensure that column names are unique within the list.

Code showing the fix:

# INCORRECT: Missing type and columns
bad_payload = ContactListCreateRequest()
bad_payload.name = "My List"

# CORRECT: Explicit type and columns
good_payload = ContactListCreateRequest()
good_payload.name = "My List"
good_payload.type = "CSV_FILE"
good_payload.columns = [
    {"name": "phone", "type": "PHONE", "required": True}
]

Error: 409 Conflict - Contact List Already Exists

What causes it:
Genesys Cloud enforces uniqueness on contact list names within a tenant. If you attempt to create a list with a name that already exists, the API returns a 409.

How to fix it:
Implement a check before creation. Use the get_outbound_contactlists endpoint to search for the list name.

Code showing the fix:

def check_list_exists(outbound_api: OutboundApi, name: str) -> bool:
    """Checks if a contact list with the given name exists."""
    try:
        # Search for the list
        response = outbound_api.get_outbound_contactlists(
            name=name,
            page_size=1
        )
        return response.entities and len(response.entities) > 0
    except ApiException as e:
        if e.status == 404:
            return False
        raise e

# Usage
if check_list_exists(outbound_api, list_name):
    print(f"List '{list_name}' already exists. Skipping creation.")
else:
    create_contact_list(outbound_api, list_name)

Error: 401 Unauthorized / 403 Forbidden

What causes it:
The OAuth token is invalid, expired, or lacks the required scopes.

How to fix it:

1. Ensure your OAuth Client has the outbound:contactlist:create scope.
2. Verify that the GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET are correct.
3. Check that the environment URL matches your tenant (e.g., api.mypurecloud.com vs api.usw2.pure.cloud).

Official References

• Genesys Cloud Outbound API Documentation
• Contact List Entity Reference
• Python SDK GitHub Repository