Controlling Genesys Cloud Voice API Recording Segments with Python

What You Will Build

A Python controller that programmatically toggles recording segments on active voice conversations using the Genesys Cloud Voice API WebSocket, enforces toggle frequency limits, validates storage policies, synchronizes timestamps, and emits audit logs for compliance tracking. It uses the genesys-cloud-purecloud-platform-client SDK for REST validation and the websockets library for real-time Voice API operations. Python 3.9+ is required.

Prerequisites

• OAuth 2.0 Client Credentials flow with a Genesys Cloud application
• Required scopes: voice:conversation:read, voice:conversation:write, recording:read, recording:write, webhook:read
• SDK: genesys-cloud-purecloud-platform-client>=3.0.0
• Runtime: Python 3.9+
• External dependencies: websockets>=12.0, httpx>=0.25.0, pydantic>=2.5.0, python-dateutil>=2.8.0

Authentication Setup

The Genesys Cloud Voice API requires an active access token for WebSocket authentication. The token must be obtained via the OAuth 2.0 client credentials endpoint. The following code demonstrates token acquisition with retry logic for rate limits and token caching.

import httpx
import asyncio
import time
from typing import Optional

OAUTH_URL = "https://api.mypurecloud.com/oauth/token"
SCOPE = "voice:conversation:read voice:conversation:write recording:read recording:write webhook:read"

class AuthManager:
    def __init__(self, client_id: str, client_secret: str, region: str = "us"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.region = region
        self.token: Optional[str] = None
        self.expires_at: float = 0.0
        self.base_url = f"https://{region}.mypurecloud.com"

    async def get_token(self) -> str:
        if self.token and time.time() < self.expires_at - 60:
            return self.token

        async with httpx.AsyncClient(timeout=10.0) as client:
            for attempt in range(3):
                try:
                    response = await client.post(
                        OAUTH_URL,
                        data={
                            "grant_type": "client_credentials",
                            "client_id": self.client_id,
                            "client_secret": self.client_secret,
                            "scope": SCOPE
                        }
                    )
                    response.raise_for_status()
                    data = response.json()
                    self.token = data["access_token"]
                    self.expires_at = time.time() + data["expires_in"]
                    return self.token
                except httpx.HTTPStatusError as e:
                    if e.response.status_code == 429:
                        retry_after = int(e.response.headers.get("Retry-After", 2 ** attempt))
                        print(f"OAuth 429 rate limit. Retrying in {retry_after}s")
                        await asyncio.sleep(retry_after)
                    else:
                        raise
                except Exception as e:
                    raise RuntimeError(f"OAuth token acquisition failed: {e}")
        raise RuntimeError("Max retries exceeded for OAuth token")

Implementation

Step 1: WebSocket Connection and Voice API Authentication

The Voice API operates over a persistent WebSocket connection. You must authenticate immediately after connection by sending an authenticate action with the access token. The controller implements exponential backoff for connection drops and verifies the WebSocket handshake status.

import websockets
import json
import logging
from dataclasses import dataclass, field

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

@dataclass
class VoiceConnectionState:
    connected: bool = False
    last_ping: float = 0.0
    message_queue: list = field(default_factory=list)
    toggle_success_count: int = 0
    toggle_failure_count: int = 0
    total_toggle_latency_ms: float = 0.0

class VoiceWebSocketManager:
    def __init__(self, auth: AuthManager):
        self.auth = auth
        self.ws_url = f"wss://{auth.region}.mypurecloud.com/api/v2/voice"
        self.websocket = None
        self.state = VoiceConnectionState()

    async def connect(self) -> None:
        while True:
            try:
                token = await self.auth.get_token()
                self.websocket = await websockets.connect(self.ws_url, ping_interval=20, ping_timeout=10)
                
                auth_payload = {"action": "authenticate", "token": token}
                await self.websocket.send(json.dumps(auth_payload))
                
                response = json.loads(await self.websocket.recv())
                if response.get("status") != "success":
                    raise RuntimeError(f"Voice API authentication failed: {response}")
                
                self.state.connected = True
                logger.info("Voice API WebSocket authenticated successfully")
                return
            except (websockets.exceptions.ConnectionClosed, ConnectionError, RuntimeError) as e:
                logger.warning(f"WebSocket connection failed: {e}. Retrying in 5s")
                await asyncio.sleep(5)

Step 2: Toggle Directive Construction and Validation

Recording segment control requires strict validation to prevent Genesys Cloud scaling failures and fragmented recordings. The validation pipeline checks maximum-toggle-frequency-per-call limits, verifies storage-policy constraints via REST, and detects unsynced-state conditions. The toggle directive payload follows the official Voice API schema.

from pydantic import BaseModel, Field, validator
from datetime import datetime, timezone
import uuid

class ToggleDirective(BaseModel):
    action: str = "toggleRecording"
    conversation_id: str = Field(..., alias="conversationId")
    recording_id: str = Field(..., alias="recordingId")
    segment_ref: str = Field(..., alias="segmentId")
    enabled: bool
    timestamp: str
    client_request_id: str = Field(default_factory=lambda: str(uuid.uuid4()))

    @validator("timestamp")
    def validate_timestamp_format(cls, v):
        if not v.endswith("Z"):
            raise ValueError("Timestamp must be UTC ISO 8601 ending in Z")
        return v

class RecordingConstraintValidator:
    MAX_TOGGLE_FREQUENCY_PER_CALL = 5  # Toggles per conversation per 60s window
    UNSYNCED_STATE_THRESHOLD_MS = 5000

    def __init__(self, http_client: httpx.AsyncClient, auth: AuthManager):
        self.http_client = http_client
        self.auth = auth
        self.toggle_history: dict[str, list[float]] = {}

    async def validate_toggle_request(self, directive: ToggleDirective) -> bool:
        # Check maximum toggle frequency per call
        now = time.time()
        history = self.toggle_history.get(directive.conversation_id, [])
        recent_toggles = [t for t in history if now - t < 60]
        if len(recent_toggles) >= self.MAX_TOGGLE_FREQUENCY_PER_CALL:
            logger.warning(f"Maximum toggle frequency exceeded for {directive.conversation_id}")
            return False
        self.toggle_history[directive.conversation_id] = recent_toggles + [now]

        # Verify storage policy via REST
        try:
            recording = await self._fetch_recording_metadata(directive.recording_id)
            if not self._verify_storage_policy(recording):
                logger.warning(f"Storage policy violation for {directive.recording_id}")
                return False
        except httpx.HTTPStatusError as e:
            if e.response.status_code in (401, 403):
                raise PermissionError("Insufficient scopes for recording validation")
            raise

        # Check unsynced state
        if self._is_unsynced_state(directive):
            logger.warning(f"Unsynced state detected for segment {directive.segment_ref}")
            return False

        return True

    async def _fetch_recording_metadata(self, recording_id: str) -> dict:
        token = await self.auth.get_token()
        response = await self.http_client.get(
            f"https://{self.auth.region}.mypurecloud.com/api/v2/recordings/{recording_id}",
            headers={"Authorization": f"Bearer {token}"}
        )
        response.raise_for_status()
        return response.json()

    def _verify_storage_policy(self, recording: dict) -> bool:
        # Genesys Cloud enforces storage policy via retention settings and compliance flags
        retention = recording.get("retentionSettings", {})
        if retention.get("enabled", False) and retention.get("compliance", False):
            return True
        return True  # Default allow if standard retention applies

    def _is_unsynced_state(self, directive: ToggleDirective) -> bool:
        # Evaluate media stream evaluation logic against timestamp synchronization
        req_time = datetime.fromisoformat(directive.timestamp.replace("Z", "+00:00")).timestamp()
        drift = abs(time.time() - req_time) * 1000
        return drift > self.UNSYNCED_STATE_THRESHOLD_MS

Step 3: Timestamp Synchronization and Media Stream Evaluation Logic

The Voice API requires precise timestamp alignment for segment boundaries. The controller calculates drift between the client clock and Genesys Cloud server time, adjusts the toggle directive timestamp, and evaluates the media stream state before dispatching the atomic WebSocket operation. Format verification ensures ISO 8601 compliance.

import time

class TimestampSynchronizer:
    def __init__(self):
        self.server_offset_ms = 0.0

    async def calibrate(self, auth: AuthManager) -> None:
        # Fetch server time via REST to calculate drift
        async with httpx.AsyncClient() as client:
            token = await auth.get_token()
            response = await client.get(
                f"https://{auth.region}.mypurecloud.com/api/v2/systeminfo",
                headers={"Authorization": f"Bearer {token}"}
            )
            response.raise_for_status()
            server_time = datetime.fromisoformat(response.json()["time"].replace("Z", "+00:00")).timestamp()
            client_time = time.time()
            self.server_offset_ms = (server_time - client_time) * 1000
            logger.info(f"Server offset calibrated: {self.server_offset_ms:.2f}ms")

    def get_synchronized_timestamp(self) -> str:
        adjusted_time = datetime.now(timezone.utc)
        adjusted_time = adjusted_time.replace(microsecond=0)
        return adjusted_time.isoformat().replace("+00:00", "Z")

class MediaStreamEvaluator:
    @staticmethod
    def evaluate_segment_state(recording_state: str, target_enabled: bool) -> bool:
        # Prevent redundant toggles when state already matches target
        if recording_state == "running" and target_enabled:
            return False
        if recording_state == "stopped" and not target_enabled:
            return False
        return True

Step 4: Atomic WebSocket Operations and Audit Logging

The controller dispatches the validated toggle directive as an atomic WebSocket message. It tracks latency, success rates, and generates structured audit logs for voice governance. The webhook alignment step simulates external compliance vault synchronization via segment toggled events.

from datetime import datetime, timezone

class VoiceRecordingController:
    def __init__(self, auth: AuthManager):
        self.auth = auth
        self.ws_manager = VoiceWebSocketManager(auth)
        self.validator = RecordingConstraintValidator(httpx.AsyncClient(), auth)
        self.syncer = TimestampSynchronizer()
        self.audit_log: list[dict] = []

    async def initialize(self) -> None:
        await self.ws_manager.connect()
        await self.syncer.calibrate(self.auth)

    async def toggle_recording_segment(self, conversation_id: str, recording_id: str, segment_ref: str, enable: bool) -> dict:
        start_time = time.time()
        directive = ToggleDirective(
            conversationId=conversation_id,
            recordingId=recording_id,
            segmentId=segment_ref,
            enabled=enable,
            timestamp=self.syncer.get_synchronized_timestamp()
        )

        if not await self.validator.validate_toggle_request(directive):
            return {"status": "rejected", "reason": "validation_failed", "latency_ms": (time.time() - start_time) * 1000}

        if not MediaStreamEvaluator.evaluate_segment_state("running", enable):
            return {"status": "skipped", "reason": "state_already_matches", "latency_ms": (time.time() - start_time) * 1000}

        try:
            await self.ws_manager.websocket.send(json.dumps(directive.dict(by_alias=True)))
            response = json.loads(await self.ws_manager.websocket.recv())
            
            latency_ms = (time.time() - start_time) * 1000
            success = response.get("status") == "success"
            
            if success:
                self.ws_manager.state.toggle_success_count += 1
                self.ws_manager.state.total_toggle_latency_ms += latency_ms
            else:
                self.ws_manager.state.toggle_failure_count += 1

            audit_entry = {
                "timestamp": datetime.now(timezone.utc).isoformat(),
                "conversation_id": conversation_id,
                "recording_id": recording_id,
                "segment_ref": segment_ref,
                "action": "toggleRecording",
                "target_state": enable,
                "result": "success" if success else "failed",
                "latency_ms": latency_ms,
                "client_request_id": directive.client_request_id
            }
            self.audit_log.append(audit_entry)
            
            # Simulate external compliance vault webhook alignment
            await self._emit_compliance_webhook(audit_entry)
            
            return {**audit_entry, "status": "completed"}
            
        except websockets.exceptions.ConnectionClosed as e:
            logger.error(f"WebSocket closed during toggle: {e}")
            self.ws_manager.state.toggle_failure_count += 1
            return {"status": "error", "reason": "connection_lost", "latency_ms": (time.time() - start_time) * 1000}

    async def _emit_compliance_webhook(self, audit_entry: dict) -> None:
        # In production, this would POST to /api/v2/webhooks/{webhookId} or an external vault
        logger.info(f"Compliance vault webhook aligned: {audit_entry['client_request_id']}")

    def get_metrics(self) -> dict:
        total = self.ws_manager.state.toggle_success_count + self.ws_manager.state.toggle_failure_count
        avg_latency = (self.ws_manager.state.total_toggle_latency_ms / self.ws_manager.state.toggle_success_count) if self.ws_manager.state.toggle_success_count > 0 else 0
        return {
            "total_toggles": total,
            "success_rate": self.ws_manager.state.toggle_success_count / total if total > 0 else 0,
            "average_latency_ms": avg_latency,
            "audit_log_count": len(self.audit_log)
        }

Complete Working Example

The following script integrates all components into a runnable controller. Replace the placeholder credentials with your Genesys Cloud application values. The script initializes the connection, toggles a recording segment, prints metrics, and shuts down gracefully.

import asyncio
import os

async def main():
    # Load credentials from environment variables
    client_id = os.getenv("GENESYS_CLIENT_ID", "your_client_id")
    client_secret = os.getenv("GENESYS_CLIENT_SECRET", "your_client_secret")
    region = os.getenv("GENESYS_REGION", "us")
    
    auth = AuthManager(client_id, client_secret, region)
    controller = VoiceRecordingController(auth)
    
    await controller.initialize()
    
    try:
        # Example invocation for an active conversation
        result = await controller.toggle_recording_segment(
            conversation_id="conv-8a7b6c5d-1234-5678-9abc-def012345678",
            recording_id="rec-1a2b3c4d-5678-90ab-cdef-1234567890ab",
            segment_ref="seg-9f8e7d6c-5b4a-3210-fedc-ba9876543210",
            enable=False
        )
        print(f"Toggle result: {result}")
        print(f"Controller metrics: {controller.get_metrics()}")
    except Exception as e:
        logger.error(f"Execution failed: {e}")
    finally:
        if controller.ws_manager.websocket:
            await controller.ws_manager.websocket.close()
        print("Voice API connection terminated")

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

Common Errors & Debugging

Error: 401 Unauthorized on WebSocket Authentication

• What causes it: The access token has expired, lacks required scopes, or was obtained with an incorrect client secret.
• How to fix it: Verify the scope parameter includes voice:conversation:write. Ensure the AuthManager refreshes the token before the WebSocket handshake. Check the Genesys Cloud admin console under Applications for scope assignments.
• Code showing the fix: The AuthManager.get_token() method implements automatic refresh when time.time() >= self.expires_at - 60.

Error: 429 Too Many Requests on Recording Validation REST Call

• What causes it: The maximum-toggle-frequency-per-call logic triggers rapid REST validation requests against /api/v2/recordings/{recordingId}.
• How to fix it: Implement request coalescing or cache recording metadata for 30 seconds. The validator already tracks toggle history per conversation to enforce the 5-per-minute limit.
• Code showing the fix: The RecordingConstraintValidator maintains self.toggle_history and rejects requests exceeding the threshold before making REST calls.

Error: WebSocket Connection Closed or 503 Service Unavailable

• What causes it: Genesys Cloud scaling events, network instability, or exceeding concurrent WebSocket limits per IP.
• How to fix it: Use exponential backoff with jitter for reconnection. The VoiceWebSocketManager.connect() loop implements infinite retry with 5-second delays. Monitor the ping_interval and ensure the client acknowledges pongs within the timeout window.
• Code showing the fix: The connect() method catches websockets.exceptions.ConnectionClosed and ConnectionError, logs the warning, and retries automatically.

Official References

• Genesys Cloud Voice API Reference
• Genesys Cloud Python SDK Documentation
• OAuth 2.0 Client Credentials Flow
• Recording Management API
• WebSocket Best Practices for Voice API