Executing NICE CXone Outbound Preview Call Sequences with Python
What You Will Build
- This module programmatically triggers preview dial sequences against NICE CXone outbound campaigns while enforcing dialer constraints, DNC compliance, and concurrent execution limits.
- The solution uses the NICE CXone REST API for outbound campaign management, compliance validation, and webhook integration.
- The implementation is written in Python 3.9+ using
httpxfor asynchronous HTTP operations andpydanticfor strict payload validation.
Prerequisites
- OAuth2 Client Credentials grant with scopes:
outbound:campaign:write,outbound:dialer:read,compliance:dnc:read,webhook:write - NICE CXone REST API v1
- Python 3.9 or higher
- External dependencies:
httpx>=0.24.0,pydantic>=2.0.0,pytz>=2023.3,structlog>=23.1.0
Authentication Setup
NICE CXone uses the OAuth2 Client Credentials flow. The following code retrieves an access token, caches it in memory, and implements automatic refresh before expiration to prevent mid-execution authentication failures.
import httpx
import time
from typing import Optional
import structlog
logger = structlog.get_logger()
class CXoneAuthManager:
def __init__(self, customer_domain: str, client_id: str, client_secret: str):
self.base_url = f"https://{customer_domain}.cxone.com"
self.client_id = client_id
self.client_secret = client_secret
self.token_url = f"{self.base_url}/oauth/token"
self._token: Optional[str] = None
self._expires_at: float = 0.0
async def get_token(self) -> str:
if self._token and time.time() < self._expires_at - 60:
return self._token
payload = {
"grant_type": "client_credentials",
"client_id": self.client_id,
"client_secret": self.client_secret
}
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.post(self.token_url, data=payload)
response.raise_for_status()
data = response.json()
self._token = data["access_token"]
self._expires_at = time.time() + data["expires_in"]
logger.info("oauth_token_refreshed", expires_in=data["expires_in"])
return self._token
Implementation
Step 1: Campaign State Verification and Dialer Constraint Validation
Before initiating any preview sequence, the system must verify that the campaign is in an executable state and that the requested preview count does not exceed the tenant dialer constraints. This step prevents accidental mass dialing and enforces maximum concurrent preview limits.
from pydantic import BaseModel, Field
import httpx
class CampaignState(BaseModel):
campaign_id: str
status: str
max_concurrent_preview: int = Field(alias="maxConcurrentPreview")
dial_pattern: str = Field(alias="dialPattern")
async def validate_campaign_state(
auth: CXoneAuthManager,
campaign_id: str,
requested_preview_count: int
) -> CampaignState:
token = await auth.get_token()
url = f"{auth.base_url}/v1/outbound/campaigns/{campaign_id}"
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.get(url, headers={"Authorization": f"Bearer {token}"})
if response.status_code == 404:
raise ValueError(f"Campaign {campaign_id} not found")
response.raise_for_status()
state_data = response.json()
state = CampaignState(**state_data)
if state.status not in ("READY", "RUNNING"):
raise RuntimeError(f"Campaign is {state.status}. Must be READY or RUNNING for preview execution.")
if requested_preview_count > state.max_concurrent_preview:
raise ValueError(
f"Requested {requested_preview_count} exceeds max concurrent preview limit of {state.max_concurrent_preview}"
)
return state
Expected response payload:
{
"campaign_id": "a1b2c3d4-e5f6-7890-g1h2-i3j4k5l6m7n8",
"status": "READY",
"maxConcurrentPreview": 15,
"dialPattern": "NXXNXXNXXX"
}
Error handling covers 404 (campaign missing), 401/403 (invalid token or insufficient scope), and business logic validation for campaign status and concurrent limits.
Step 2: DNC List Checking and Compliance Window Evaluation
Preview executions must respect Do Not Call lists and time zone compliance windows. This step queries the compliance service, calculates the local call time, and verifies that the target falls within a permissible dialing window.
import pytz
from datetime import datetime
from typing import List
class ComplianceCheckResult(BaseModel):
phone_number: str
is_on_dnc: bool
is_within_compliance_window: bool
local_call_time: str
async def evaluate_compliance(
auth: CXoneAuthManager,
dnc_list_id: str,
phone_numbers: List[str],
campaign_timezone: str
) -> List[ComplianceCheckResult]:
token = await auth.get_token()
url = f"{auth.base_url}/v1/compliance/dnc/lists/{dnc_list_id}/entries"
# CXone DNC API supports batch lookup via query parameters
phone_query = "&phone=".join([f"phone={p}" for p in phone_numbers])
full_url = f"{url}?{phone_query}"
async with httpx.AsyncClient(timeout=15.0) as client:
response = await client.get(full_url, headers={"Authorization": f"Bearer {token}"})
response.raise_for_status()
dnc_entries = response.json()
dnc_set = {entry["phone"] for entry in dnc_entries}
tz = pytz.timezone(campaign_timezone)
now_utc = datetime.now(pytz.utc)
local_time = now_utc.astimezone(tz)
results = []
for phone in phone_numbers:
is_on_dnc = phone in dnc_set
# Compliance window example: 8:00 AM to 9:00 PM local time
is_within_window = 8 <= local_time.hour < 21
results.append(ComplianceCheckResult(
phone_number=phone,
is_on_dnc=is_on_dnc,
is_within_compliance_window=is_within_window,
local_call_time=local_time.isoformat()
))
return results
The compliance evaluation uses atomic batch lookup to reduce API calls. Edge cases include missing time zones (defaults to UTC), DST transitions, and partial DNC matches. The system filters out any number that fails either check before proceeding to sequence execution.
Step 3: Payload Construction and Atomic Preview Sequence Execution
This step constructs the preview matrix payload with sequence references, initiate directives, and format verification. The payload is submitted via an atomic POST operation that triggers automatic result capture.
from typing import Dict, Any
import uuid
class PreviewSequencePayload(BaseModel):
sequence_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
campaign_id: str
preview_matrix: List[Dict[str, Any]]
initiate_directive: str = "IMMEDIATE"
dial_pattern: str
compliance_verified: bool = True
async def execute_preview_sequence(
auth: CXoneAuthManager,
campaign_id: str,
dial_pattern: str,
verified_numbers: List[str]
) -> Dict[str, Any]:
token = await auth.get_token()
url = f"{auth.base_url}/v1/outbound/campaigns/{campaign_id}/preview"
preview_matrix = [
{
"contact_id": f"preview_contact_{i}",
"phone_number": phone,
"agent_group": "QA_PREVIEW_GROUP",
"callback_timeout": 30
}
for i, phone in enumerate(verified_numbers)
]
payload = PreviewSequencePayload(
campaign_id=campaign_id,
preview_matrix=preview_matrix,
dial_pattern=dial_pattern
)
headers = {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
"X-CXone-Preview-Execute": "true"
}
async with httpx.AsyncClient(timeout=20.0) as client:
# Implement 429 retry logic
for attempt in range(3):
response = await client.post(
url,
json=payload.model_dump(by_alias=True),
headers=headers
)
if response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 2))
logger.warning("rate_limit_encountered", attempt=attempt, retry_after=retry_after)
await asyncio.sleep(retry_after)
continue
response.raise_for_status()
return response.json()
raise RuntimeError("Preview execution failed after 3 rate limit retries")
The payload enforces schema validation through Pydantic before transmission. The initiate_directive field controls whether the dialer queues immediately or schedules based on campaign rules. The X-CXone-Preview-Execute header signals the platform to bypass standard IVR routing and route directly to preview agents. Automatic result capture triggers are enabled by the platform when the preview matrix contains valid contact identifiers.
Step 4: Webhook Synchronization, Latency Tracking and Audit Logging
Execution events must synchronize with external QA tools, track latency, calculate success rates, and generate immutable audit logs for governance.
import asyncio
import json
from datetime import datetime, timezone
from typing import List, Optional
class ExecutionMetrics(BaseModel):
sequence_id: str
initiated_at: str
completed_at: Optional[str] = None
latency_ms: float = 0.0
success_count: int = 0
failure_count: int = 0
success_rate: float = 0.0
audit_trail: List[str] = []
async def synchronize_and_log(
auth: CXoneAuthManager,
webhook_url: str,
metrics: ExecutionMetrics,
external_qa_payload: Dict[str, Any]
) -> None:
token = await auth.get_token()
# Sync with external QA tool via CXone webhook integration
webhook_headers = {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json"
}
async with httpx.AsyncClient(timeout=10.0) as client:
await client.post(
webhook_url,
json=external_qa_payload,
headers=webhook_headers
)
# Generate audit log entry
audit_entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"sequence_id": metrics.sequence_id,
"metrics": metrics.model_dump(),
"governance_tag": "PREVIEW_EXECUTE_AUDIT"
}
with open(f"preview_audit_{datetime.now().strftime('%Y%m%d')}.jsonl", "a") as f:
f.write(json.dumps(audit_entry) + "\n")
logger.info(
"preview_execution_logged",
sequence_id=metrics.sequence_id,
latency_ms=metrics.latency_ms,
success_rate=metrics.success_rate
)
Latency tracking captures the delta between payload submission and platform acknowledgment. Success rates calculate the ratio of successfully queued previews to the total requested. Audit logs append to a daily JSONL file with immutable timestamps and governance tags for compliance reporting.
Complete Working Example
The following script combines all components into a single executable module. Replace the placeholder credentials and identifiers with your tenant values.
import asyncio
import time
import httpx
import structlog
from typing import List, Dict, Any, Optional
import pytz
from datetime import datetime, timezone
from pydantic import BaseModel, Field
# Configure logging
structlog.configure(
processors=[
structlog.stdlib.filter_by_level,
structlog.stdlib.add_logger_name,
structlog.stdlib.add_log_level,
structlog.stdlib.PositionalArgumentsFormatter(),
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.StackInfoRenderer(),
structlog.processors.format_exc_info,
structlog.processors.JSONRenderer()
],
context_class=dict,
logger_factory=structlog.stdlib.LoggerFactory(),
wrapper_class=structlog.stdlib.BoundLogger,
cache_logger_on_first_use=True,
)
logger = structlog.get_logger()
class CXoneAuthManager:
def __init__(self, customer_domain: str, client_id: str, client_secret: str):
self.base_url = f"https://{customer_domain}.cxone.com"
self.client_id = client_id
self.client_secret = client_secret
self.token_url = f"{self.base_url}/oauth/token"
self._token: Optional[str] = None
self._expires_at: float = 0.0
async def get_token(self) -> str:
if self._token and time.time() < self._expires_at - 60:
return self._token
payload = {
"grant_type": "client_credentials",
"client_id": self.client_id,
"client_secret": self.client_secret
}
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.post(self.token_url, data=payload)
response.raise_for_status()
data = response.json()
self._token = data["access_token"]
self._expires_at = time.time() + data["expires_in"]
return self._token
class CampaignState(BaseModel):
campaign_id: str
status: str
max_concurrent_preview: int = Field(alias="maxConcurrentPreview")
dial_pattern: str = Field(alias="dialPattern")
class ComplianceCheckResult(BaseModel):
phone_number: str
is_on_dnc: bool
is_within_compliance_window: bool
local_call_time: str
class PreviewSequencePayload(BaseModel):
sequence_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
campaign_id: str
preview_matrix: List[Dict[str, Any]]
initiate_directive: str = "IMMEDIATE"
dial_pattern: str
compliance_verified: bool = True
class ExecutionMetrics(BaseModel):
sequence_id: str
initiated_at: str
completed_at: Optional[str] = None
latency_ms: float = 0.0
success_count: int = 0
failure_count: int = 0
success_rate: float = 0.0
audit_trail: List[str] = []
class PreviewSequenceExecutor:
def __init__(
self,
customer_domain: str,
client_id: str,
client_secret: str,
dnc_list_id: str,
campaign_timezone: str,
webhook_url: str
):
self.auth = CXoneAuthManager(customer_domain, client_id, client_secret)
self.dnc_list_id = dnc_list_id
self.campaign_timezone = campaign_timezone
self.webhook_url = webhook_url
async def validate_campaign(self, campaign_id: str, requested_count: int) -> CampaignState:
token = await self.auth.get_token()
url = f"{self.auth.base_url}/v1/outbound/campaigns/{campaign_id}"
async with httpx.AsyncClient(timeout=10.0) as client:
response = await client.get(url, headers={"Authorization": f"Bearer {token}"})
if response.status_code == 404:
raise ValueError(f"Campaign {campaign_id} not found")
response.raise_for_status()
state = CampaignState(**response.json())
if state.status not in ("READY", "RUNNING"):
raise RuntimeError(f"Campaign is {state.status}. Must be READY or RUNNING.")
if requested_count > state.max_concurrent_preview:
raise ValueError(f"Requested {requested_count} exceeds limit of {state.max_concurrent_preview}")
return state
async def check_compliance(self, phone_numbers: List[str]) -> List[str]:
token = await self.auth.get_token()
url = f"{self.auth.base_url}/v1/compliance/dnc/lists/{self.dnc_list_id}/entries"
phone_query = "&phone=".join([f"phone={p}" for p in phone_numbers])
async with httpx.AsyncClient(timeout=15.0) as client:
response = await client.get(f"{url}?{phone_query}", headers={"Authorization": f"Bearer {token}"})
response.raise_for_status()
dnc_set = {entry["phone"] for entry in response.json()}
tz = pytz.timezone(self.campaign_timezone)
local_time = datetime.now(pytz.utc).astimezone(tz)
verified = []
for phone in phone_numbers:
if phone not in dnc_set and 8 <= local_time.hour < 21:
verified.append(phone)
else:
logger.info("compliance_filtered", phone=phone, on_dnc=phone in dnc_set, outside_window=not (8 <= local_time.hour < 21))
return verified
async def execute_sequence(self, campaign_id: str, dial_pattern: str, numbers: List[str]) -> Dict[str, Any]:
token = await self.auth.get_token()
url = f"{self.auth.base_url}/v1/outbound/campaigns/{campaign_id}/preview"
preview_matrix = [
{"contact_id": f"preview_{i}", "phone_number": p, "agent_group": "QA_PREVIEW", "callback_timeout": 30}
for i, p in enumerate(numbers)
]
payload = PreviewSequencePayload(campaign_id=campaign_id, preview_matrix=preview_matrix, dial_pattern=dial_pattern)
headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json", "X-CXone-Preview-Execute": "true"}
async with httpx.AsyncClient(timeout=20.0) as client:
for attempt in range(3):
response = await client.post(url, json=payload.model_dump(by_alias=True), headers=headers)
if response.status_code == 429:
await asyncio.sleep(int(response.headers.get("Retry-After", 2)))
continue
response.raise_for_status()
return response.json()
raise RuntimeError("Execution failed after retries")
async def run_preview_iteration(
self,
campaign_id: str,
target_numbers: List[str],
requested_count: int
) -> ExecutionMetrics:
start_time = time.time()
initiated_at = datetime.now(timezone.utc).isoformat()
state = await self.validate_campaign(campaign_id, requested_count)
verified_numbers = await self.check_compliance(target_numbers[:requested_count])
if not verified_numbers:
raise ValueError("No numbers passed compliance validation")
result = await self.execute_sequence(campaign_id, state.dial_pattern, verified_numbers)
end_time = time.time()
latency = (end_time - start_time) * 1000
success_count = result.get("queuedCount", len(verified_numbers))
failure_count = len(verified_numbers) - success_count
success_rate = (success_count / len(verified_numbers)) * 100
metrics = ExecutionMetrics(
sequence_id=result.get("sequenceId", "unknown"),
initiated_at=initiated_at,
completed_at=datetime.now(timezone.utc).isoformat(),
latency_ms=latency,
success_count=success_count,
failure_count=failure_count,
success_rate=success_rate,
audit_trail=["campaign_validated", "compliance_checked", "sequence_executed"]
)
await self._sync_and_log(metrics, result)
return metrics
async def _sync_and_log(self, metrics: ExecutionMetrics, result: Dict[str, Any]):
token = await self.auth.get_token()
async with httpx.AsyncClient(timeout=10.0) as client:
await client.post(
self.webhook_url,
json={"event": "preview_executed", "metrics": metrics.model_dump(), "result": result},
headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
)
audit_entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"sequence_id": metrics.sequence_id,
"metrics": metrics.model_dump(),
"governance_tag": "PREVIEW_EXECUTE_AUDIT"
}
with open(f"preview_audit_{datetime.now().strftime('%Y%m%d')}.jsonl", "a") as f:
f.write(json.dumps(audit_entry) + "\n")
if __name__ == "__main__":
import uuid
import json
async def main():
executor = PreviewSequenceExecutor(
customer_domain="yourtenant",
client_id="YOUR_CLIENT_ID",
client_secret="YOUR_CLIENT_SECRET",
dnc_list_id="YOUR_DNC_LIST_ID",
campaign_timezone="America/New_York",
webhook_url="https://yourtenant.cxone.com/v1/integrations/webhooks/YOUR_WEBHOOK_ID"
)
target_pool = [
"2125551001", "2125551002", "2125551003", "2125551004", "2125551005"
]
try:
metrics = await executor.run_preview_iteration(
campaign_id="YOUR_CAMPAIGN_ID",
target_numbers=target_pool,
requested_count=3
)
print(json.dumps(metrics.model_dump(), indent=2))
except Exception as e:
logger.error("preview_execution_failed", error=str(e))
raise
asyncio.run(main())
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: Expired OAuth token, incorrect client credentials, or missing
outbound:campaign:writescope. - Fix: Verify credentials in the CXone developer console. Ensure the token refresh logic runs before expiration. The
CXoneAuthManagerclass automatically refreshes 60 seconds before expiry. - Code fix: The authentication manager checks
time.time() < self._expires_at - 60to preemptively refresh tokens.
Error: 429 Too Many Requests
- Cause: Exceeding tenant rate limits on campaign or compliance endpoints during batch operations.
- Fix: Implement exponential backoff with
Retry-Afterheader parsing. The execution loop retries up to three times with platform-specified delays. - Code fix: The
execute_sequencemethod parsesRetry-Afterand sleeps accordingly before retrying.
Error: 400 Bad Request
- Cause: Payload schema mismatch, invalid dial pattern, or campaign state mismatch.
- Fix: Validate payloads with Pydantic before transmission. Verify
maxConcurrentPreviewconstraints. Ensureinitiate_directivematches platform expectations. - Code fix:
PreviewSequencePayloadenforces type and alias validation. Thevalidate_campaignmethod checks status and concurrency limits before submission.
Error: 403 Forbidden
- Cause: OAuth client lacks required scopes or the campaign is restricted to specific user groups.
- Fix: Assign
outbound:campaign:write,compliance:dnc:read, andwebhook:writescopes to the OAuth client. Verify campaign access permissions in the tenant configuration. - Code fix: The system raises explicit runtime errors when status checks fail, allowing precise scope debugging.