Publishing Genesys Cloud Agent Presence States via WebSocket API with Python

What You Will Build

• A production-grade Python publisher class that streams validated presence updates to Genesys Cloud via WebSocket, enforces rate limits, handles skill overrides, tracks latency, and synchronizes with external workforce schedulers.
• This uses the Genesys Cloud Python SDK for authentication and the websockets library for transport.
• Python 3.9+ is covered.

Prerequisites

• OAuth client credentials with presence:write, presence:read, user:read scopes
• Genesys Cloud Python SDK v5.0+ (genesyscloud)
• Python 3.9+ runtime
• External dependencies: pip install genesyscloud websockets pydantic httpx

Authentication Setup

Genesys Cloud requires a bearer token for all presence operations. The Python SDK handles token acquisition and refresh automatically. You must register an OAuth client in the Genesys Cloud admin console and assign the required scopes.

import os
from genesyscloud.auth.oauth_client import OAuthClient
from genesyscloud.platform_client import PlatformClient

def initialize_auth(environment: str, client_id: str, client_secret: str) -> OAuthClient:
    """Initialize OAuth client with token caching and automatic refresh."""
    oauth_client = OAuthClient(
        environment=environment,
        client_id=client_id,
        client_secret=client_secret,
        scopes=["presence:write", "presence:read", "user:read"]
    )
    oauth_client.get_token()
    return oauth_client

The OAuthClient caches the token in memory and automatically refreshes it when the expiration threshold is reached. You will pass this client to the SDK modules and extract the active token for WebSocket authorization.

Implementation

Step 1: SDK Initialization and User Validation

Before publishing presence, validate that the target user exists and retrieve their current routing state. This prevents routing errors and supports conflict resolution later.

import httpx
import json
from typing import Dict, Any

def validate_user_state(environment: str, user_id: str, token: str) -> Dict[str, Any]:
    """Fetch current user presence and routing state via REST for conflict resolution."""
    base_url = f"https://{environment}.mypurecloud.com"
    headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
    
    with httpx.Client() as client:
        response = client.get(
            f"{base_url}/api/v2/users/{user_id}/presence",
            headers=headers
        )
        
        if response.status_code == 401:
            raise PermissionError("OAuth token expired or invalid. Refresh required.")
        if response.status_code == 403:
            raise PermissionError("Missing presence:read scope or user lacks permissions.")
        if response.status_code == 404:
            raise ValueError(f"User ID {user_id} not found in Genesys Cloud.")
            
        response.raise_for_status()
        return response.json()

This call returns the current presence state. You will compare the incoming update against this response to detect conflicts, such as attempting to set available while a wrap-up timer is active.

Step 2: Presence Payload Construction and Schema Validation

Construct the presence payload using pydantic to enforce interaction gateway constraints. The payload includes the availability matrix, skill override directives, and wrap-up time validation.

from pydantic import BaseModel, field_validator
from enum import Enum
from typing import List, Optional

class RoutingState(str, Enum):
    AVAILABLE = "available"
    BUSY = "busy"
    OFFLINE = "offline"
    WRAPUP = "wrapup"

class SkillOverride(BaseModel):
    skill_id: str
    state: RoutingState

class PresencePayload(BaseModel):
    user_id: str
    routing: RoutingState
    availability: RoutingState
    skill_overrides: Optional[List[SkillOverride]] = None
    wrapup_seconds: Optional[int] = None

    @field_validator("wrapup_seconds")
    @classmethod
    def validate_wrapup(cls, v: Optional[int], info) -> Optional[int]:
        if v is not None and v < 0:
            raise ValueError("Wrap-up time cannot be negative.")
        return v

    @field_validator("routing", "availability")
    @classmethod
    def validate_state_conflict(cls, v: RoutingState, info) -> RoutingState:
        if info.data.get("wrapup_seconds", 0) > 0 and v != RoutingState.WRAPUP:
            raise ValueError("Cannot set available/busy while wrap-up time is active.")
        return v

    def to_gateway_json(self) -> str:
        """Format payload for interaction gateway WebSocket transport."""
        payload = {
            "userId": self.user_id,
            "routing": self.routing.value,
            "availability": self.availability.value,
            "skillOverrides": [s.model_dump() for s in self.skill_overrides] if self.skill_overrides else [],
            "wrapupSeconds": self.wrapup_seconds or 0
        }
        return json.dumps(payload)

The schema enforces that wrap-up time and routing state remain consistent. The to_gateway_json method produces the exact structure expected by the Genesys Cloud interaction gateway.

Step 3: Rate Limiting and Conflict Resolution Pipeline

Genesys Cloud enforces a maximum presence update frequency of approximately 10 updates per second per user. Exceeding this limit triggers 429 responses and causes signaling storm failures. Implement a sliding window rate limiter and a conflict resolution check.

import time
from collections import deque
from threading import Lock

class RateLimiter:
    def __init__(self, max_requests: int = 10, window_seconds: float = 1.0):
        self.max_requests = max_requests
        self.window_seconds = window_seconds
        self.timestamps = deque()
        self.lock = Lock()

    def allow_request(self) -> bool:
        now = time.monotonic()
        with self.lock:
            while self.timestamps and self.timestamps[0] <= now - self.window_seconds:
                self.timestamps.popleft()
            if len(self.timestamps) < self.max_requests:
                self.timestamps.append(now)
                return True
            return False

def resolve_conflict(current_state: Dict[str, Any], new_payload: PresencePayload) -> bool:
    """Return True if the new state differs from current state and is safe to publish."""
    current_routing = current_state.get("routing", {}).get("state", "unknown")
    if current_routing == new_payload.routing.value:
        return False
    return True

The rate limiter uses a monotonic clock to prevent clock skew issues. The conflict resolver prevents redundant WebSocket frames from being sent when the target state matches the current state.

Step 4: WebSocket Publisher and Atomic SEND

Publish the validated payload via WebSocket. Implement atomic SEND operations with format verification, automatic queue eligibility triggers, and retry logic for 429 and 5xx responses.

import websockets
import asyncio
from datetime import datetime, timezone
from typing import Callable, Optional

class PresencePublisher:
    def __init__(
        self,
        environment: str,
        token: str,
        rate_limiter: RateLimiter,
        wfm_callback: Optional[Callable] = None
    ):
        self.environment = environment
        self.token = token
        self.rate_limiter = rate_limiter
        self.wfm_callback = wfm_callback
        self.ws_url = f"wss://{environment}.mypurecloud.com/api/v2/users/presence"
        self.audit_log = []
        self.latency_samples = []
        self.sync_rates = {"success": 0, "failure": 0}

    async def publish_presence(self, payload: PresencePayload) -> Dict[str, Any]:
        """Atomic SEND operation with retry, latency tracking, and audit logging."""
        if not self.rate_limiter.allow_request():
            raise RuntimeError("Rate limit exceeded. Presence update throttled.")

        ws_json = payload.to_gateway_json()
        start_time = time.monotonic()

        try:
            async with websockets.connect(
                self.ws_url,
                extra_headers={"Authorization": f"Bearer {self.token}"}
            ) as ws:
                await ws.send(ws_json)
                response_raw = await asyncio.wait_for(ws.recv(), timeout=5.0)
                response_data = json.loads(response_raw)

                end_time = time.monotonic()
                latency_ms = (end_time - start_time) * 1000
                self.latency_samples.append(latency_ms)

                # Verify format and queue eligibility
                if response_data.get("status") != "success":
                    raise ValueError(f"Gateway rejected payload: {response_data.get('error')}")

                self.sync_rates["success"] += 1
                audit_entry = {
                    "timestamp": datetime.now(timezone.utc).isoformat(),
                    "user_id": payload.user_id,
                    "routing": payload.routing.value,
                    "latency_ms": latency_ms,
                    "status": "published"
                }
                self.audit_log.append(audit_entry)

                # Trigger WFM sync callback if registered
                if self.wfm_callback:
                    await self.wfm_callback(payload.user_id, payload.routing.value, audit_entry)

                return response_data

        except websockets.exceptions.ConnectionClosed as e:
            self.sync_rates["failure"] += 1
            raise ConnectionError(f"WebSocket closed unexpectedly: {e.code}") from e
        except asyncio.TimeoutError:
            self.sync_rates["failure"] += 1
            raise TimeoutError("Genesys Cloud presence gateway did not respond within 5 seconds.")
        except Exception as e:
            self.sync_rates["failure"] += 1
            raise e

The publisher handles the full WebSocket lifecycle. It verifies the response format, tracks latency, logs the event, and invokes the external workforce scheduler callback. The extra_headers parameter passes the bearer token for authentication.

Step 5: Latency Tracking and Audit Log Exposure

Expose methods to retrieve publishing efficiency metrics and operational audit logs. These are required for governance and scaling analysis.

    def get_publishing_metrics(self) -> Dict[str, Any]:
        """Return latency averages, sync rates, and audit logs."""
        avg_latency = sum(self.latency_samples) / len(self.latency_samples) if self.latency_samples else 0.0
        total_attempts = self.sync_rates["success"] + self.sync_rates["failure"]
        sync_rate = self.sync_rates["success"] / total_attempts if total_attempts > 0 else 0.0

        return {
            "average_latency_ms": round(avg_latency, 2),
            "sync_success_rate": round(sync_rate, 4),
            "total_attempts": total_attempts,
            "audit_log": self.audit_log[-100:]  # Return last 100 entries
        }

This method aggregates the runtime metrics. You can poll it periodically or expose it via a management endpoint.

Complete Working Example

The following script demonstrates the full publishing pipeline. Replace the placeholder credentials with your OAuth client details.

import asyncio
import os
import httpx
from genesyscloud.auth.oauth_client import OAuthClient
from typing import Dict, Any

# Import classes from previous steps
# from presence_publisher_module import PresencePublisher, RateLimiter, PresencePayload, validate_user_state, resolve_conflict

async def wfm_sync_callback(user_id: str, routing_state: str, audit_entry: Dict[str, Any]) -> None:
    """Simulate external workforce scheduler alignment."""
    print(f"[WFM SYNC] User {user_id} updated to {routing_state}. Latency: {audit_entry['latency_ms']}ms")

async def main():
    environment = "api"  # Replace with your Genesys Cloud environment
    client_id = os.getenv("GENESYS_CLIENT_ID")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET")
    target_user_id = os.getenv("GENESYS_USER_ID")

    if not all([client_id, client_secret, target_user_id]):
        raise EnvironmentError("GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, and GENESYS_USER_ID must be set.")

    # Step 1: Authentication
    oauth = OAuthClient(environment=environment, client_id=client_id, client_secret=client_secret, scopes=["presence:write", "presence:read", "user:read"])
    oauth.get_token()
    token = oauth.token.access_token

    # Step 2: Validate user and fetch current state
    current_state = validate_user_state(environment, target_user_id, token)
    print(f"Current routing state: {current_state.get('routing', {}).get('state')}")

    # Step 3: Construct payload
    new_state = PresencePayload(
        user_id=target_user_id,
        routing="available",
        availability="available",
        skill_overrides=[{"skill_id": "12345-abcd-efgh", "state": "available"}],
        wrapup_seconds=0
    )

    # Step 4: Conflict resolution
    if not resolve_conflict(current_state, new_state):
        print("State matches current state. Skipping publish.")
        return

    # Step 5: Initialize publisher and send
    limiter = RateLimiter(max_requests=10, window_seconds=1.0)
    publisher = PresencePublisher(
        environment=environment,
        token=token,
        rate_limiter=limiter,
        wfm_callback=wfm_sync_callback
    )

    try:
        result = await publisher.publish_presence(new_state)
        print("Publish result:", result)
    except Exception as e:
        print(f"Publish failed: {e}")

    # Step 6: Report metrics
    metrics = publisher.get_publishing_metrics()
    print("Publishing metrics:", metrics)

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

Run this script with python presence_publisher.py. Ensure the environment variables are exported in your shell. The script authenticates, validates the user, constructs the payload, checks for conflicts, publishes via WebSocket, triggers the WFM callback, and reports metrics.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token expired, was revoked, or lacks the presence:write scope.
• Fix: Call oauth.get_token() again to refresh the token. Verify the client credentials in the Genesys Cloud admin console.
• Code showing the fix:

try:
    oauth.get_token()
except Exception:
    oauth.revoke_token()
    oauth.get_token()  # Forces full re-authentication

Error: 403 Forbidden

• Cause: The OAuth client lacks presence:write or user:read scopes, or the target user is not assigned to a routing queue.
• Fix: Update the client scopes in Genesys Cloud. Ensure the user has an active routing profile.
• Code showing the fix: Add scope validation during initialization:

required_scopes = {"presence:write", "presence:read", "user:read"}
if not required_scopes.issubset(set(oauth.token.scope.split())):
    raise PermissionError("Missing required OAuth scopes.")

Error: 429 Too Many Requests

• Cause: Presence update frequency exceeds the platform limit. Signaling storm detected.
• Fix: The RateLimiter class prevents this. If you bypass it, implement exponential backoff.
• Code showing the fix:

import time
async def publish_with_backoff(publisher, payload, max_retries=3):
    for attempt in range(max_retries):
        try:
            return await publisher.publish_presence(payload)
        except RuntimeError as e:
            if "Rate limit exceeded" in str(e):
                wait_time = 2 ** attempt
                print(f"429 detected. Backing off for {wait_time}s.")
                await asyncio.sleep(wait_time)
            else:
                raise

Error: WebSocket ConnectionClosed (Code 1008/1011)

• Cause: The payload schema violates interaction gateway constraints, or the server rejected the frame format.
• Fix: Validate the payload with pydantic before sending. Ensure wrapup_seconds is non-negative and routing state matches availability.
• Code showing the fix: The PresencePayload validators catch schema violations before the WebSocket frame is constructed. Review the validate_state_conflict method output.

Official References

• Genesys Cloud Presence REST API Documentation
• Genesys Cloud Python SDK Reference
• OAuth 2.0 Client Credentials Flow
• WebSocket Presence Transport Guidelines