Diagnosing and Fixing INVALID_VALUE Errors When Creating Outbound Contact Lists via Genesys Cloud API

How-To-Articles
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Diagnosing and Fixing INVALID_VALUE Errors When Creating Outbound Contact Lists via Genesys Cloud API

What You Will Build

  • You will build a robust Python script that creates an Outbound contact list in Genesys Cloud CX by correctly formatting the JSON payload to satisfy strict schema validation.
  • You will use the Genesys Cloud REST API directly via the requests library to inspect the specific field causing the INVALID_VALUE error.
  • You will cover Python as the primary language, demonstrating how to handle type coercion and nested object structures that commonly trigger this error.

Prerequisites

  • OAuth Client Type: Service Account (Client Credentials Flow) or Resource Owner Password Credentials (ROPC).
  • Required Scopes:
    • outbound:campaign:write (To create the contact list)
    • outbound:contactlist:write (Specific scope for contact list operations)
  • SDK/API Version: Genesys Cloud API v2.
  • Language/Runtime: Python 3.8+.
  • External Dependencies:
    • requests: For HTTP communication.
    • python-dotenv: For managing environment variables securely.

Install the dependencies:

pip install requests python-dotenv

Authentication Setup

Genesys Cloud uses OAuth 2.0. To create a contact list, you need a valid access token. The following code demonstrates the Client Credentials flow, which is the standard for server-to-server integrations.

import os
import requests
from dotenv import load_dotenv

load_dotenv()

def get_access_token():
    """
    Retrieves an OAuth 2.0 access token using Client Credentials Flow.
    """
    environment = os.getenv("GENESYS_ENVIRONMENT", "my.genesiscloud.com")
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")

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

    auth_url = f"https://{environment}/oauth/token"
    payload = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }

    try:
        response = requests.post(auth_url, data=payload)
        response.raise_for_status()
        return response.json()["access_token"]
    except requests.exceptions.HTTPError as e:
        print(f"Authentication failed: {e.response.text}")
        raise

# Usage
access_token = get_access_token()
headers = {
    "Authorization": f"Bearer {access_token}",
    "Content-Type": "application/json"
}
base_url = f"https://{os.getenv('GENESYS_ENVIRONMENT', 'my.genesiscloud.com')}/api/v2"

Implementation

The INVALID_VALUE error (HTTP 400) typically occurs because the JSON payload sent to /api/v2/outbound/contactlists violates one of three constraints:

  1. Data Type Mismatch: Sending a string where an integer is expected, or vice versa.
  2. Missing Required Fields: Omitting name or columns.
  3. Invalid Column Structure: The columns array is empty, or column objects lack required properties like name or type.

Step 1: Define the Correct Payload Structure

The most common cause of INVALID_VALUE is an incorrectly formatted columns array. Each column must have a name, a type, and optionally a isKey flag. The type must be one of the supported enums: STRING, INTEGER, DOUBLE, DATE, DATETIME, BOOLEAN.

Here is the minimal valid payload structure:

{
  "name": "Test Contact List",
  "description": "A list for debugging INVALID_VALUE errors",
  "columns": [
    {
      "name": "phone_number",
      "type": "STRING",
      "isKey": true
    },
    {
      "name": "first_name",
      "type": "STRING"
    },
    {
      "name": "age",
      "type": "INTEGER"
    }
  ],
  "dataFormat": "CSV"
}

Critical Note: The isKey field is optional but highly recommended for at least one column to serve as the primary key for deduplication. If you omit isKey entirely from all columns, the API may reject the list depending on your organization’s settings.

Step 2: Implement the POST Request with Detailed Error Parsing

When the API returns a 400 Bad Request with INVALID_VALUE, the response body contains a errors array. You must parse this array to identify the specific field.

import json

def create_contact_list(token: str, list_name: str, columns: list) -> dict:
    """
    Creates a new outbound contact list.
    
    Args:
        token: OAuth access token.
        list_name: Name of the contact list.
        columns: List of column definition dictionaries.
    
    Returns:
        Response JSON containing the created contact list ID and URI.
    """
    url = f"{base_url}/outbound/contactlists"
    
    # Construct the payload
    payload = {
        "name": list_name,
        "description": "Created via API Tutorial",
        "columns": columns,
        "dataFormat": "CSV"
    }

    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }

    try:
        response = requests.post(url, json=payload, headers=headers)
        
        # Raise an exception for 4xx and 5xx status codes
        response.raise_for_status()
        
        return response.json()
        
    except requests.exceptions.HTTPError as e:
        error_response = e.response.json()
        
        # Genesys Cloud returns detailed errors in the 'errors' array
        if "errors" in error_response:
            for error in error_response["errors"]:
                print(f"Field: {error.get('field', 'Unknown')}")
                print(f"Message: {error.get('message', 'No message')}")
                print(f"Reason: {error.get('reason', 'UNKNOWN')}")
                print("-" * 30)
        else:
            print(f"HTTP Error {e.response.status_code}: {error_response}")
            
        raise

Step 3: Handling Common INVALID_VALUE Scenarios

Scenario A: Empty Columns Array

If you send an empty columns array, the API returns INVALID_VALUE because a contact list must have at least one column to store data.

Bad Payload:

{
  "name": "Empty List",
  "columns": []
}

Fix: Ensure the columns list has at least one valid column object.

Scenario B: Invalid Column Type

If you specify a type that is not in the allowed enum (e.g., "TEXT" instead of "STRING"), you get INVALID_VALUE.

Bad Payload:

{
  "columns": [
    {
      "name": "phone",
      "type": "TEXT" 
    }
  ]
}

Fix: Use exact casing for types: STRING, INTEGER, DOUBLE, DATE, DATETIME, BOOLEAN.

Scenario C: Missing Column Name

Every column object must have a name field.

Bad Payload:

{
  "columns": [
    {
      "type": "STRING"
    }
  ]
}

Fix: Add the name field to every column object.

Complete Working Example

This script demonstrates the full flow: authentication, payload construction, error handling, and successful creation. It includes a validation helper to pre-check your payload before sending it to the API, reducing the likelihood of INVALID_VALUE errors.

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

load_dotenv()

# Configuration
GENESYS_ENVIRONMENT = os.getenv("GENESYS_ENVIRONMENT", "my.genesiscloud.com")
GENESYS_CLIENT_ID = os.getenv("GENESYS_CLIENT_ID")
GENESYS_CLIENT_SECRET = os.getenv("GENESYS_CLIENT_SECRET")

VALID_COLUMN_TYPES = ["STRING", "INTEGER", "DOUBLE", "DATE", "DATETIME", "BOOLEAN"]

def get_access_token() -> str:
    """Retrieves OAuth 2.0 access token."""
    auth_url = f"https://{GENESYS_ENVIRONMENT}/oauth/token"
    payload = {
        "grant_type": "client_credentials",
        "client_id": GENESYS_CLIENT_ID,
        "client_secret": GENESYS_CLIENT_SECRET
    }
    
    response = requests.post(auth_url, data=payload)
    response.raise_for_status()
    return response.json()["access_token"]

def validate_columns(columns: List[Dict[str, Any]]) -> bool:
    """
    Validates the column structure locally before sending to API.
    Returns True if valid, raises ValueError otherwise.
    """
    if not columns:
        raise ValueError("Columns list cannot be empty.")
    
    for idx, col in enumerate(columns):
        if "name" not in col or not col["name"]:
            raise ValueError(f"Column at index {idx} is missing 'name'.")
        
        if "type" not in col:
            raise ValueError(f"Column '{col['name']}' is missing 'type'.")
        
        if col["type"] not in VALID_COLUMN_TYPES:
            raise ValueError(f"Column '{col['name']}' has invalid type '{col['type']}'. Must be one of {VALID_COLUMN_TYPES}.")
            
    return True

def create_contact_list() -> None:
    """Main function to create a contact list."""
    
    # 1. Authenticate
    try:
        token = get_access_token()
    except Exception as e:
        print(f"Failed to authenticate: {e}")
        return

    # 2. Define Columns
    # Common mistake: using 'text' instead of 'STRING', or omitting 'type'
    columns = [
        {
            "name": "phone_number",
            "type": "STRING",
            "isKey": True  # Recommended: Marks this column as the primary key
        },
        {
            "name": "first_name",
            "type": "STRING"
        },
        {
            "name": "last_name",
            "type": "STRING"
        },
        {
            "name": "signup_date",
            "type": "DATE"
        }
    ]

    # 3. Local Validation
    try:
        validate_columns(columns)
    except ValueError as ve:
        print(f"Local Validation Error: {ve}")
        return

    # 4. Construct Payload
    payload = {
        "name": "API_Test_Contact_List",
        "description": "Created via Python Tutorial for INVALID_VALUE debugging",
        "columns": columns,
        "dataFormat": "CSV"
    }

    # 5. Send Request
    url = f"https://{GENESYS_ENVIRONMENT}/api/v2/outbound/contactlists"
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }

    try:
        response = requests.post(url, json=payload, headers=headers)
        
        if response.status_code == 201:
            result = response.json()
            print("Success! Contact List Created.")
            print(f"List ID: {result.get('id')}")
            print(f"List Name: {result.get('name')}")
            print(f"Columns: {[col['name'] for col in result.get('columns', [])]}")
        elif response.status_code == 400:
            error_body = response.json()
            print("Bad Request (400). Detailed Errors:")
            if "errors" in error_body:
                for err in error_body["errors"]:
                    print(f"  - Field: {err.get('field')}")
                    print(f"    Reason: {err.get('reason')}")
                    print(f"    Message: {err.get('message')}")
            else:
                print(f"  Raw Response: {error_body}")
        else:
            print(f"Unexpected Status Code: {response.status_code}")
            print(f"Response: {response.text}")
            
    except requests.exceptions.RequestException as e:
        print(f"Network Error: {e}")

if __name__ == "__main__":
    create_contact_list()

Common Errors & Debugging

Error: INVALID_VALUE on columns

What causes it:
The columns array is malformed. This is the most frequent cause of INVALID_VALUE when creating contact lists.

How to fix it:

  1. Check that columns is an array, not an object.
  2. Ensure every object in the array has a name (string) and type (string).
  3. Verify that type is uppercase and matches one of the allowed values (STRING, INTEGER, DOUBLE, DATE, DATETIME, BOOLEAN).
  4. Ensure at least one column is defined.

Code Fix:

# Incorrect
"columns": {"phone": "STRING"} 

# Correct
"columns": [{"name": "phone", "type": "STRING"}]

Error: INVALID_VALUE on name

What causes it:
The name field is missing, empty, or exceeds the maximum length (typically 255 characters).

How to fix it:
Ensure the name field in the root payload is a non-empty string.

Error: 403 Forbidden

What causes it:
The OAuth token lacks the outbound:contactlist:write scope.

How to fix it:

  1. Go to the Genesys Cloud Admin Console.
  2. Navigate to Organization > Security > OAuth Clients.
  3. Edit your client.
  4. Under Scopes, ensure outbound:contactlist:write is checked.
  5. Regenerate the token.

Error: 429 Too Many Requests

What causes it:
You have exceeded the API rate limit for your organization.

How to fix it:
Implement exponential backoff. Genesys Cloud returns a Retry-After header in the response.

Code Fix:

import time

def post_with_retry(url, payload, headers, max_retries=3):
    for attempt in range(max_retries):
        response = requests.post(url, json=payload, headers=headers)
        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 5))
            print(f"Rate limited. Waiting {retry_after} seconds...")
            time.sleep(retry_after)
            continue
        return response
    return response

Official References