Monitor Genesys Cloud Presence State Changes via WebSocket with Python

What You Will Build

A Python service that subscribes to real-time presence state changes, validates subscription payloads against streaming engine constraints, processes atomic WebSocket frames, synchronizes state to external telephony via webhooks, and tracks latency and accuracy metrics. This tutorial uses the Genesys Cloud Streaming API and the official Python SDK for authentication. The language is Python 3.9+.

Prerequisites

• OAuth 2.0 Client Credentials grant with scopes: presence:read analytics:events:stream
• Genesys Cloud Python SDK version 7.0+
• Python 3.9+ runtime
• External dependencies: websockets, pydantic, httpx, genesyscloud
• Environment variables: GENESYS_ENV, GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, WEBHOOK_URL

Authentication Setup

The streaming API requires a valid Bearer token passed as a query parameter during WebSocket handshake. Use the genesyscloud SDK to handle the OAuth 2.0 client credentials flow. Token caching prevents unnecessary refresh calls.

import os
from genesyscloud.oauth.auth_client import AuthClient
from genesyscloud.oauth.config import AuthConfig

def get_auth_client() -> AuthClient:
    config = AuthConfig(
        environment=os.environ["GENESYS_ENV"],
        client_id=os.environ["GENESYS_CLIENT_ID"],
        client_secret=os.environ["GENESYS_CLIENT_SECRET"],
        scopes=["presence:read", "analytics:events:stream"]
    )
    auth_client = AuthClient(config=config)
    auth_client.authenticate()
    return auth_client

# HTTP Request Cycle for OAuth
# POST /api/v2/oauth/token
# Headers: Content-Type: application/x-www-form-urlencoded
# Body: grant_type=client_credentials&client_id=<id>&client_secret=<secret>&scope=presence:read%20analytics:events:stream
# Response 200 OK:
# {
#   "access_token": "eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...",
#   "token_type": "Bearer",
#   "expires_in": 300,
#   "scope": "presence:read analytics:events:stream"
# }

The AuthClient caches the token and automatically refreshes when expiration approaches. Extract the token for WebSocket initialization: auth_client.get_access_token().

Implementation

Step 1: Construct and Validate Monitor Payloads

Genesys Cloud streaming enforces maximum monitor depth limits and schema constraints. A single subscription payload cannot exceed 50 user IDs, and presence levels must match the platform matrix. Use Pydantic to enforce these rules before transmission.

from pydantic import BaseModel, field_validator, ValidationError
from typing import List, Literal

VALID_PRESENCE_LEVELS = Literal["available", "busy", "offline", "away", "custom"]

class PresenceMonitorPayload(BaseModel):
    topics: List[str]
    filters: dict

    @field_validator("topics")
    @classmethod
    def validate_topics(cls, v: List[str]) -> List[str]:
        if "presence:state" not in v:
            raise ValueError("Topic 'presence:state' is required for presence monitoring")
        return v

    @field_validator("filters")
    @classmethod
    def validate_filters(cls, v: dict) -> dict:
        user_ids = v.get("userId", [])
        if not isinstance(user_ids, list):
            raise ValueError("userId filter must be a list")
        if len(user_ids) > 50:
            raise ValueError("Maximum monitor depth limit exceeded. Platform constraint: 50 user IDs per subscription")
        if len(set(user_ids)) != len(user_ids):
            raise ValueError("Duplicate user IDs detected in monitor payload")
        return v

def build_monitor_payload(user_ids: List[str]) -> dict:
    try:
        payload = PresenceMonitorPayload(
            topics=["presence:state"],
            filters={"userId": user_ids}
        )
        return payload.model_dump()
    except ValidationError as e:
        raise RuntimeError(f"Monitor schema validation failed against streaming engine constraints: {e}")

The validator rejects payloads that violate maximum monitor depth limits or contain invalid presence level references. This prevents subscription rejection at the streaming gateway.

Step 2: Establish WebSocket Connection with Heartbeat and Stale Verification

The streaming engine requires continuous liveness verification. Implement a heartbeat interval checker and stale connection verification pipeline to prevent ghost agents during WebSocket scaling. The connection uses the token as a query parameter.

import asyncio
import time
import websockets
import json
from datetime import datetime, timezone

HEARTBEAT_INTERVAL = 15.0
STALE_THRESHOLD = 45.0

class WebSocketPresenceClient:
    def __init__(self, environment: str, access_token: str):
        self.ws_url = f"wss://{environment}.mypurecloud.com/api/v2/analytics/events/stream?access_token={access_token}"
        self.ws: websockets.WebSocketClientProtocol = None
        self.last_message_time: float = time.time()
        self.is_connected: bool = False

    async def connect(self) -> None:
        self.ws = await websockets.connect(self.ws_url, ping_interval=None, ping_timeout=None)
        self.is_connected = True
        self.last_message_time = time.time()
        asyncio.create_task(self.heartbeat_pipeline())

    async def heartbeat_pipeline(self) -> None:
        while self.is_connected:
            await asyncio.sleep(HEARTBEAT_INTERVAL)
            if self.ws and not self.ws.closed:
                await self.ws.ping()
                if time.time() - self.last_message_time > STALE_THRESHOLD:
                    await self.handle_stale_connection()

    async def handle_stale_connection(self) -> None:
        await self.ws.close()
        self.is_connected = False
        raise ConnectionError("Stale connection detected. Heartbeat verification pipeline terminated session.")

    async def subscribe(self, payload: dict) -> None:
        if not self.is_connected:
            raise RuntimeError("WebSocket is not connected")
        await self.ws.send(json.dumps(payload))

The heartbeat pipeline sends WebSocket pings at fixed intervals. If no frame arrives within the stale threshold, the connection closes and raises an exception. This prevents ghost agent states caused by dropped streams.

Step 3: Process Atomic Frames and Trigger Status Broadcasts

Incoming WebSocket frames contain presence state updates. Validate the frame format, extract the user ID and new status, and apply atomic state transitions. Verify that the transition matches the presence level matrix before broadcasting.

from dataclasses import dataclass, field
from typing import Dict, Optional
import logging

logger = logging.getLogger("presence_monitor")

VALID_TRANSITIONS = {
    "offline": {"available", "busy", "away"},
    "available": {"busy", "away", "offline"},
    "busy": {"available", "away", "offline"},
    "away": {"available", "busy", "offline"},
    "custom": {"available", "busy", "away", "offline"}
}

@dataclass
class PresenceState:
    user_id: str
    status: str
    timestamp: str
    previous_status: Optional[str] = None

class PresenceStateManager:
    def __init__(self):
        self.current_states: Dict[str, str] = {}

    def verify_format(self, raw_frame: bytes) -> dict:
        try:
            frame_data = json.loads(raw_frame.decode("utf-8"))
            if "userId" not in frame_data or "status" not in frame_data or "timestamp" not in frame_data:
                raise ValueError("Missing required fields in atomic WS frame")
            return frame_data
        except json.JSONDecodeError:
            raise ValueError("Invalid JSON format in WebSocket frame")

    def process_frame(self, raw_frame: bytes) -> PresenceState:
        frame_data = self.verify_format(raw_frame)
        user_id = frame_data["userId"]
        new_status = frame_data["status"]
        timestamp = frame_data["timestamp"]

        previous_status = self.current_states.get(user_id, "offline")

        if new_status not in VALID_TRANSITIONS.get(previous_status, set()):
            logger.warning(f"Invalid status transition directive: {previous_status} -> {new_status} for user {user_id}")
            return PresenceState(user_id=user_id, status=previous_status, timestamp=timestamp, previous_status=previous_status)

        self.current_states[user_id] = new_status
        return PresenceState(user_id=user_id, status=new_status, timestamp=timestamp, previous_status=previous_status)

The process_frame method enforces format verification and validates status transition directives against the presence level matrix. Invalid transitions are logged and rejected to maintain state accuracy.

Step 4: Synchronize Events via Webhook and Track Metrics

Forward validated presence updates to external telephony integrations via webhook callbacks. Implement retry logic for 429 responses, track monitoring latency, calculate state accuracy rates, and generate audit logs for availability governance.

import httpx
from datetime import datetime
import time

class PresenceSyncHandler:
    def __init__(self, webhook_url: str):
        self.webhook_url = webhook_url
        self.client = httpx.AsyncClient(timeout=10.0)
        self.total_events: int = 0
        self.accuracy_count: int = 0
        self.total_latency: float = 0.0
        self.audit_log_path: str = "presence_audit.log"

    async def sync_to_webhook(self, state: PresenceState) -> None:
        payload = {
            "userId": state.user_id,
            "currentStatus": state.status,
            "previousStatus": state.previous_status,
            "eventTimestamp": state.timestamp,
            "syncTimestamp": datetime.now(timezone.utc).isoformat(),
            "source": "genesys_presence_monitor"
        }

        for attempt in range(3):
            try:
                response = await self.client.post(self.webhook_url, json=payload)
                if response.status_code == 429:
                    retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
                    await asyncio.sleep(retry_after)
                    continue
                response.raise_for_status()
                self.total_events += 1
                self.accuracy_count += 1
                self._log_audit(state, "SUCCESS")
                return
            except httpx.HTTPStatusError as e:
                if e.response.status_code == 429:
                    await asyncio.sleep(2 ** attempt)
                else:
                    self._log_audit(state, f"HTTP_ERROR_{e.response.status_code}")
                    raise

    def calculate_latency(self, event_timestamp: str, receipt_time: float) -> float:
        event_dt = datetime.fromisoformat(event_timestamp.replace("Z", "+00:00"))
        latency = receipt_time - event_dt.timestamp()
        self.total_latency += latency
        return latency

    def get_accuracy_rate(self) -> float:
        if self.total_events == 0:
            return 0.0
        return (self.accuracy_count / self.total_events) * 100.0

    def _log_audit(self, state: PresenceState, result: str) -> None:
        audit_entry = {
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "user_id": state.user_id,
            "status": state.status,
            "result": result,
            "governance_tag": "availability_tracking"
        }
        with open(self.audit_log_path, "a") as f:
            f.write(json.dumps(audit_entry) + "\n")

The sync handler implements exponential backoff for 429 rate limits, calculates latency between event generation and receipt, and writes structured audit logs for availability governance. The accuracy rate tracks successful state synchronizations.

Complete Working Example

The following script integrates all components into a runnable presence monitor. Replace the environment variables before execution.

import asyncio
import os
import logging
import time
from genesyscloud.oauth.auth_client import AuthClient
from genesyscloud.oauth.config import AuthConfig

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger("presence_monitor")

async def run_presence_monitor() -> None:
    env = os.environ["GENESYS_ENV"]
    auth = get_auth_client()
    token = auth.get_access_token()

    user_ids = os.environ.get("MONITOR_USER_IDS", "user123,user456").split(",")
    monitor_payload = build_monitor_payload(user_ids)

    ws_client = WebSocketPresenceClient(env, token)
    state_manager = PresenceStateManager()
    sync_handler = PresenceSyncHandler(os.environ["WEBHOOK_URL"])

    try:
        await ws_client.connect()
        await ws_client.subscribe(monitor_payload)
        logger.info("Subscription active. Monitoring presence state changes.")

        async for raw_frame in ws_client.ws:
            ws_client.last_message_time = time.time()
            try:
                state = state_manager.process_frame(raw_frame)
                latency = sync_handler.calculate_latency(state.timestamp, time.time())
                logger.info(f"Processed frame for {state.user_id}. Latency: {latency:.3f}s")
                await sync_handler.sync_to_webhook(state)
            except Exception as e:
                logger.error(f"Frame processing failed: {e}")
    except ConnectionError as e:
        logger.error(f"WebSocket connection terminated: {e}")
    except Exception as e:
        logger.error(f"Monitor execution error: {e}")
    finally:
        if ws_client.ws and not ws_client.ws.closed:
            await ws_client.ws.close()
        logger.info(f"Accuracy rate: {sync_handler.get_accuracy_rate():.2f}%")

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

Run the script with python presence_monitor.py. The service maintains the WebSocket connection, validates incoming frames, forwards state updates to the webhook, and logs audit entries until termination.

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: Expired OAuth token or missing presence:read analytics:events:stream scopes.
• How to fix it: Verify the client credentials and scope configuration. Ensure the AuthClient refreshes the token before WebSocket handshake.
• Code showing the fix:

if not auth.get_access_token():
    auth.authenticate()
token = auth.get_access_token()

Error: 403 Forbidden

• What causes it: The OAuth client lacks permission to stream presence events or the user IDs do not belong to the authenticated tenant.
• How to fix it: Assign the presence:read and analytics:events:stream scopes in the Genesys Cloud developer portal. Verify user IDs exist in the target environment.

Error: 429 Too Many Requests

• What causes it: Webhook endpoint rate limiting or excessive subscription payload depth.
• How to fix it: Reduce the user ID list to under 50 entries. Implement exponential backoff on webhook calls as shown in sync_to_webhook.

Error: Stale Connection Detected

• What causes it: Network interruption or WebSocket server timeout without proper keep-alive handling.
• How to fix it: The heartbeat pipeline automatically closes stale connections. Implement a reconnect loop outside the monitor class to restore the stream.
• Code showing the fix:

while True:
    try:
        await run_presence_monitor()
        break
    except ConnectionError:
        logger.warning("Reconnecting in 5 seconds...")
        await asyncio.sleep(5)

Error: Invalid Status Transition Directive

• What causes it: Presence state jumps between incompatible levels (e.g., available directly to offline without intermediate busy state in strict governance modes).
• How to fix it: Adjust the VALID_TRANSITIONS matrix to match your organizational presence policy. The validator logs rejected transitions for audit review.

Official References

• Genesys Cloud Streaming API Documentation
• Presence API Reference
• Python SDK Documentation
• OAuth 2.0 Client Credentials Flow