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 RequestwithINVALID_VALUEerrors during thePOST /api/v2/outbound/contactlistscall. - 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:
requestslibrary (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:
name: Must be a non-empty string. It must be unique within the organization.type: Must be one of the supported types:UPLOAD,API, orSYNC. For most programmatic creations where you will later upload CSV data, useUPLOAD.contactFields: An array of objects defining the schema of the contact list. Each field must have aname,type, and optionallylabel.
Common Causes of INVALID_VALUE:
- Using an unsupported
type(e.g.,"CUSTOM"instead of"UPLOAD"). - Providing a
namethat already exists in the organization. - Defining
contactFieldswith invalid types (e.g.,"INTEGER"instead of"INTEGER"is fine, but"INT"is not). - Leaving
contactFieldsempty 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:
STRINGINTEGERFLOATBOOLEANDATEDATETIMEEMAILPHONEADDRESSURLOBJECTID
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:
- Verify the
client_idandclient_secretare correct. - Ensure the OAuth client has the
outbound:contactlist:createscope assigned in the Genesys Cloud Admin Console. - Check that the token is being passed correctly in the
Authorization: Bearer <token>header.