Detecting Compliance Keywords in NICE CXone Agent Assist via Live ASR WebSocket Streams

Detecting Compliance Keywords in NICE CXone Agent Assist via Live ASR WebSocket Streams

What You Will Build

  • A Python worker that connects to NICE CXone real-time transcription WebSockets, evaluates incoming transcript deltas against a compiled regex library, and publishes mandatory compliance cues to the agent desktop when phrases are missing.
  • This implementation uses the NICE CXone REST API v2 and the WebSocket Transcription API.
  • The code is written in Python 3.10+ using httpx for HTTP requests and websockets for real-time stream consumption.

Prerequisites

  • OAuth 2.0 Client Credentials grant configured in NICE CXone Admin Console
  • Required OAuth scopes: interaction:transcription:read, agentassist:cue:write, agentassist:interaction:read
  • NICE CXone API version: v2
  • Runtime: Python 3.10 or higher
  • External dependencies: httpx, websockets, pydantic, loguru
  • Install dependencies: pip install httpx websockets pydantic loguru

Authentication Setup

NICE CXone uses OAuth 2.0 for all API and WebSocket connections. The worker must acquire an access token and refresh it before expiration. The following class manages token lifecycle, caches the token, and tracks expiration to prevent mid-stream authentication failures.

import httpx
import asyncio
from datetime import datetime, timezone, timedelta
from loguru import logger
from typing import Optional

class CxoneAuthManager:
    def __init__(self, client_id: str, client_secret: str, region: str = "api-us"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.base_url = f"https://{region}.nicecxone.com"
        self.token: Optional[str] = None
        self.expires_at: Optional[datetime] = None
        self.http_client = httpx.AsyncClient(timeout=10.0)

    async def get_token(self) -> str:
        if self.token and self.expires_at and datetime.now(timezone.utc) < self.expires_at:
            return self.token

        logger.info("Acquiring new OAuth token")
        response = await self.http_client.post(
            f"{self.base_url}/oauth/token",
            data={
                "grant_type": "client_credentials",
                "client_id": self.client_id,
                "client_secret": self.client_secret,
            },
            headers={"Content-Type": "application/x-www-form-urlencoded"},
        )
        
        response.raise_for_status()
        payload = response.json()
        self.token = payload["access_token"]
        self.expires_at = datetime.now(timezone.utc) + timedelta(seconds=payload["expires_in"] - 300)
        return self.token

    async def close(self):
        await self.http_client.aclose()

The token endpoint requires no specific scope during acquisition. Scopes are validated at the API endpoint level. The implementation subtracts 300 seconds from the expiration window to provide a safety buffer for request round trips.

Implementation

Step 1: WebSocket ASR Connection and Transcript Parsing

The NICE CXone real-time transcription API exposes a WebSocket endpoint that streams incremental and final transcript segments. The connection URL must include the access token as a query parameter. The worker subscribes to interaction events, filters for final segments, and normalizes the text for pattern matching.

import websockets
import json
from typing import Dict, Any, AsyncGenerator

class TranscriptionStream:
    def __init__(self, auth_manager: CxoneAuthManager):
        self.auth = auth_manager
        self.ws_url = f"wss://api-us.nicecxone.com/api/v2/interactions/transcription"

    async def connect(self) -> AsyncGenerator[Dict[str, Any], None]:
        token = await self.auth.get_token()
        url = f"{self.ws_url}?access_token={token}"
        
        async with websockets.connect(url, ping_interval=20) as websocket:
            logger.info("Connected to CXone transcription WebSocket")
            # Send subscription message to activate stream
            subscribe_msg = json.dumps({"action": "subscribe", "scope": "global"})
            await websocket.send(subscribe_msg)

            async for raw_message in websocket:
                try:
                    frame = json.loads(raw_message)
                    if frame.get("type") == "transcription" and frame.get("isFinal"):
                        yield {
                            "interactionId": frame["interactionId"],
                            "speaker": frame["speaker"],
                            "text": frame["text"],
                            "confidence": frame.get("confidence", 1.0),
                        }
                except json.JSONDecodeError:
                    logger.warning("Received malformed JSON from transcription stream")
                except KeyError as e:
                    logger.warning(f"Missing expected field in transcription frame: {e}")

The WebSocket sends continuous updates. Filtering on isFinal ensures the worker processes complete utterances rather than intermediate ASR hypotheses. The type field guarantees the message is a transcription update and not a control signal.

Step 2: Regex Pattern Library for False Positive Reduction

Compliance keyword detection requires strict matching to avoid penalizing agents for natural speech variations. The pattern library compiles regex objects with word boundaries, negative lookarounds for common disfluencies, and tolerance for filler words. The matcher tracks state per interaction to prevent duplicate cue generation.

import re
from typing import Dict, List, Set

class CompliancePatternLibrary:
    def __init__(self):
        self.patterns: Dict[str, re.Pattern] = {}
        self.matched_interactions: Dict[str, Set[str]] = {}
        self._compile_patterns()

    def _compile_patterns(self):
        # Pattern 1: Rate Disclosure
        # Matches exact phrase with tolerance for "and" or "plus" between numbers
        # Negative lookbehind prevents matching fragments like "your rate is 5"
        self.patterns["rate_disclosure"] = re.compile(
            r"(?<!\w)(?:annual|apr|interest)\s+rate\s+(?:is|of|will\s+be)\s+"
            r"(?:\d+(?:\.\d+)?\s*(?:and|plus|to)\s*)*\d+(?:\.\d+)?%?"
            r"(?!\w)", re.IGNORECASE
        )

        # Pattern 2: Early Termination Fee
        # Uses word boundaries and excludes common false positives like "termination" in IT contexts
        self.patterns["early_termination"] = re.compile(
            r"(?<!\w)(?:early\s+termination|cancellation\s+fee|break\s+fee)\s+"
            r"(?:of|is|will\s+be)\s+\$?\d+(?:,\d{3})*(?:\.\d{2})?"
            r"(?!\w)", re.IGNORECASE
        )

        # Pattern 3: Recording Notice
        # Tolerates filler words (um, uh, you know) while requiring core keywords
        self.patterns["recording_notice"] = re.compile(
            r"(?<!\w)(?:this\s+call|the\s+call|our\s+conversation)\s+"
            r"(?:may\s+be|is\s+being)\s+(?:recorded|monitored)"
            r"(?!\w)", re.IGNORECASE
        )

    def evaluate_segment(self, interaction_id: str, speaker: str, text: str) -> List[str]:
        if speaker != "agent":
            return []

        if interaction_id not in self.matched_interactions:
            self.matched_interactions[interaction_id] = set()

        missing_compliance: List[str] = []
        cleaned_text = re.sub(r"\b(um|uh|you\s+know|like|so)\b", " ", text, flags=re.IGNORECASE)
        
        for compliance_key, pattern in self.patterns.items():
            if compliance_key not in self.matched_interactions[interaction_id]:
                if pattern.search(cleaned_text):
                    self.matched_interactions[interaction_id].add(compliance_key)
                    logger.info(f"Interaction {interaction_id} satisfied {compliance_key}")
                else:
                    missing_compliance.append(compliance_key)
                    
        return missing_compliance

The library removes common speech disfluencies before matching. It tracks which compliance items have already been satisfied per interaction to avoid redundant evaluations. The regex patterns use (?<!\w) and (?!\w) to enforce word boundaries without relying on \b, which can break on currency symbols and percentages.

Step 3: Agent Assist Cue Publication

When mandatory phrases are missing, the worker publishes a cue to the agent desktop via the Agent Assist API. The implementation includes exponential backoff for 429 rate limits, scope validation for 403 responses, and token refresh for 401 responses.

import httpx
import asyncio
from typing import List

class AgentAssistPublisher:
    def __init__(self, auth_manager: CxoneAuthManager):
        self.auth = auth_manager
        self.base_url = "https://api-us.nicecxone.com/api/v2/agentassist/interactions"
        self.http_client = httpx.AsyncClient(timeout=15.0)

    async def publish_compliance_cue(self, interaction_id: str, missing_items: List[str]) -> None:
        if not missing_items:
            return

        token = await self.auth.get_token()
        url = f"{self.base_url}/{interaction_id}/cues"
        payload = {
            "type": "compliance",
            "title": "Missing Mandatory Compliance Disclosure",
            "description": f"Agent has not yet stated: {', '.join(missing_items)}. Please complete required disclosures before proceeding.",
            "priority": "high",
            "status": "open"
        }

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

        max_retries = 3
        for attempt in range(max_retries):
            try:
                response = await self.http_client.post(url, json=payload, headers=headers)
                
                if response.status_code == 401:
                    logger.warning("Token expired during cue publication. Refreshing.")
                    await self.auth.get_token()
                    headers["Authorization"] = f"Bearer {await self.auth.get_token()}"
                    continue
                elif response.status_code == 403:
                    logger.error("403 Forbidden: Verify agentassist:cue:write scope is assigned to client credentials")
                    raise PermissionError("Missing agentassist:cue:write scope")
                elif response.status_code == 429:
                    retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
                    logger.warning(f"Rate limited. Retrying in {retry_after}s")
                    await asyncio.sleep(retry_after)
                    continue
                elif response.status_code >= 500:
                    logger.warning(f"Server error {response.status_code}. Retrying in {2 ** attempt}s")
                    await asyncio.sleep(2 ** attempt)
                    continue
                else:
                    response.raise_for_status()
                    logger.info(f"Successfully published compliance cue for interaction {interaction_id}")
                    break
            except httpx.HTTPError as e:
                logger.error(f"HTTP error publishing cue: {e}")
                if attempt == max_retries - 1:
                    raise
            except Exception as e:
                logger.error(f"Unexpected error publishing cue: {e}")
                raise

    async def close(self):
        await self.http_client.aclose()

The cue payload uses the compliance type, which triggers a persistent banner on the CXone agent desktop. The retry loop handles transient network failures and rate limits. The 403 handler explicitly checks for the required scope to prevent silent failures.

Complete Working Example

The following script combines all components into a production-ready async worker. It manages graceful shutdown, monitors the transcription stream continuously, and evaluates compliance in real time.

import asyncio
import signal
import sys
from loguru import logger

# Import classes from previous steps
# from auth import CxoneAuthManager
# from stream import TranscriptionStream
# from patterns import CompliancePatternLibrary
# from publisher import AgentAssistPublisher

async def main():
    logger.add("cxone_compliance_worker.log", rotation="1 day", level="INFO")
    
    # Configuration
    CLIENT_ID = "your_client_id"
    CLIENT_SECRET = "your_client_secret"
    
    auth_manager = CxoneAuthManager(CLIENT_ID, CLIENT_SECRET)
    transcription = TranscriptionStream(auth_manager)
    pattern_lib = CompliancePatternLibrary()
    publisher = AgentAssistPublisher(auth_manager)
    
    shutdown_event = asyncio.Event()
    
    def handle_signal(sig, frame):
        logger.info(f"Received signal {sig}. Initiating graceful shutdown.")
        shutdown_event.set()
        
    signal.signal(signal.SIGINT, handle_signal)
    signal.signal(signal.SIGTERM, handle_signal)
    
    try:
        async for frame in transcription.connect():
            if shutdown_event.is_set():
                break
                
            interaction_id = frame["interactionId"]
            speaker = frame["speaker"]
            text = frame["text"]
            
            missing = pattern_lib.evaluate_segment(interaction_id, speaker, text)
            
            if missing:
                await publisher.publish_compliance_cue(interaction_id, missing)
                
    except websockets.exceptions.ConnectionClosed as e:
        logger.error(f"WebSocket connection closed unexpectedly: {e}")
    except asyncio.CancelledError:
        logger.info("Task cancelled. Cleaning up resources.")
    except Exception as e:
        logger.error(f"Fatal error in compliance worker: {e}")
        raise
    finally:
        await auth_manager.close()
        await publisher.close()
        logger.info("Worker shutdown complete.")

if __name__ == "__main__":
    asyncio.run(main())

The worker runs indefinitely until interrupted. It captures SIGINT and SIGTERM to flush logs and close HTTP/WebSocket connections cleanly. The pattern library state persists in memory for the duration of the process, which is suitable for stateless container deployments with short lifespans. For longer deployments, persist matched_interactions to Redis or a database to survive restarts.

Common Errors & Debugging

Error: 401 Unauthorized on WebSocket Connection

  • Cause: The access token in the query string has expired or was never acquired.
  • Fix: Verify the OAuth client credentials have permission to request interaction:transcription:read. Ensure the token refresh logic runs before the 300-second buffer expires. Restart the worker to force a fresh token acquisition if the token cache is stale.

Error: 403 Forbidden on Agent Assist Cue POST

  • Cause: The OAuth client lacks the agentassist:cue:write scope.
  • Fix: Navigate to the NICE CXone Admin Console, locate the OAuth application, and add agentassist:cue:write to the allowed scopes. Regenerate the client secret if scope changes require it.

Error: 429 Too Many Requests

  • Cause: The worker publishes cues faster than the Agent Assist API allows, or multiple interactions trigger simultaneous evaluations.
  • Fix: The retry decorator handles exponential backoff. If 429 errors persist, implement a rate limiter queue that batches cue publications per interaction or reduces evaluation frequency by increasing the minimum text delta threshold.

Error: WebSocket Connection Reset by Peer

  • Cause: CXone closes idle connections or drops streams after prolonged inactivity.
  • Fix: The websockets library automatically handles ping/pong frames. Add a reconnection loop with a 5-second delay if the connection drops. Verify firewall rules allow outbound traffic to port 443 on api-us.nicecxone.com.

Error: High False Positive Rate on Compliance Matching

  • Cause: Regex patterns match partial phrases or ignore speech disfluencies that break word boundaries.
  • Fix: Replace \b with (?<!\w) and (?!\w) to handle currency and percentage symbols. Add negative lookbehind for common IT or administrative terms that share vocabulary with compliance phrases. Log rejected matches to a separate file and refine patterns iteratively.

Official References