Managing Genesys Cloud Recording Controls via Python Orchestration Layer
What You Will Build
- A Python orchestration service that constructs, validates, and dispatches recording control directives to Genesys Cloud conversations while enforcing duration limits, verifying consent, and tracking state transitions.
- The code uses the Genesys Cloud REST API (
/api/v2/conversations/{id}/recordings) and mirrors the Web SDK payload contract for server-side control. - The implementation is written in Python 3.10+ using
httpx,pydantic, andwebsocketsfor async execution and schema validation.
Prerequisites
- OAuth 2.0 Client Credentials flow with scopes:
conversation:view,conversation:control,recording:view,recording:control - Genesys Cloud REST API v2
- Python 3.10 or higher
- External dependencies:
httpx==0.27.0,pydantic==2.6.0,websockets==12.0,pydantic-settings==2.1.0 - Install dependencies:
pip install httpx pydantic websockets pydantic-settings
Authentication Setup
Genesys Cloud requires a bearer token for all recording control operations. The following code implements a token cache with automatic refresh logic to prevent unnecessary authentication requests and handle 401 expiration gracefully.
import httpx
import time
from pydantic import BaseModel, Field
from typing import Optional
class OAuthConfig(BaseModel):
client_id: str
client_secret: str
base_url: str = "https://api.mypurecloud.com"
token_url: str = "https://login.mypurecloud.com/oauth/token"
class TokenCache:
def __init__(self, config: OAuthConfig):
self.config = config
self.token: Optional[str] = None
self.expires_at: float = 0.0
self.client = httpx.AsyncClient(timeout=10.0)
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.config.client_id,
"client_secret": self.config.client_secret,
"scope": "conversation:view conversation:control recording:view recording:control"
}
response = await self.client.post(self.config.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
async def close(self):
await self.client.aclose()
The token cache checks expiration before issuing a new request. The scope parameter matches the exact permissions required for recording control. The httpx.AsyncClient handles connection pooling automatically.
Implementation
Step 1: Control Payload Construction and Schema Validation
Genesys Cloud recording control requires precise payload structures. The Web SDK expects a state matrix containing start, stop, pause, or resume directives. Pydantic validates these payloads against client constraints before dispatch.
from pydantic import BaseModel, Field, field_validator
from enum import Enum
import time
class RecordingAction(str, Enum):
START = "start"
STOP = "stop"
PAUSE = "pause"
RESUME = "resume"
class ControlDirective(BaseModel):
action: RecordingAction
conversation_id: str
recording_id: Optional[str] = None
max_duration_seconds: int = Field(default=7200, gt=0, le=14400)
consent_verified: bool = False
initiated_at: float = Field(default_factory=time.time)
@field_validator("conversation_id")
@classmethod
def validate_conversation_id(cls, v: str) -> str:
if not v or len(v) < 10:
raise ValueError("conversation_id must be a valid Genesys Cloud UUID or identifier")
return v
class RecordingStateMatrix:
def __init__(self):
self.active_recordings: dict[str, ControlDirective] = {}
self.stop_triggers: dict[str, float] = {}
def register(self, directive: ControlDirective) -> None:
if directive.action == RecordingAction.START:
if directive.conversation_id in self.active_recordings:
raise ValueError("Conversation already has an active recording")
self.active_recordings[directive.conversation_id] = directive
self.stop_triggers[directive.conversation_id] = (
directive.initiated_at + directive.max_duration_seconds
)
def check_auto_stop(self) -> list[str]:
expired = []
current = time.time()
for conv_id, trigger_at in self.stop_triggers.items():
if current >= trigger_at and conv_id in self.active_recordings:
expired.append(conv_id)
return expired
The ControlDirective model enforces maximum duration limits (1 to 14400 seconds) and requires explicit consent verification. The RecordingStateMatrix tracks active sessions and evaluates automatic stop triggers based on elapsed time.
Step 2: Consent Verification and Capability Validation
Before issuing a recording directive, the service must verify user consent and validate browser capability flags. This step queries the conversation details endpoint to confirm participant status and checks configuration constraints.
import logging
logger = logging.getLogger("recording_manager")
async def verify_consent_and_capabilities(
client: httpx.AsyncClient,
token: str,
conversation_id: str,
base_url: str
) -> bool:
headers = {"Authorization": f"Bearer {token}", "Accept": "application/json"}
url = f"{base_url}/api/v2/conversations/details/query"
body = {
"pageSize": 100,
"filter": f"conversationId={conversation_id}",
"view": "FULL"
}
response = await client.post(url, headers=headers, json=body)
response.raise_for_status()
data = response.json()
if not data.get("items"):
logger.warning("Conversation %s not found", conversation_id)
return False
conversation = data["items"][0]
participants = conversation.get("participants", [])
consent_flags = [p.get("consent", {}) for p in participants]
all_consent = all(c.get("recording", False) for c in consent_flags if c)
if not all_consent:
logger.warning("Recording consent missing for conversation %s", conversation_id)
return False
media_config = conversation.get("media", {})
capabilities = media_config.get("capabilities", {})
if not capabilities.get("recording", False):
logger.warning("Browser/media capability for recording disabled on %s", conversation_id)
return False
return True
The endpoint /api/v2/conversations/details/query returns participant consent flags and media capabilities. The function returns False if any participant lacks recording consent or if the client reports disabled recording capabilities. This prevents data corruption and compliance violations during scaling events.
Step 3: State Management and Duration Enforcement
Recording control requires atomic state transitions. The following function constructs the exact payload Genesys Cloud expects, applies retry logic for 429 rate limits, and handles automatic stop triggers.
import asyncio
async def execute_recording_control(
client: httpx.AsyncClient,
token: str,
directive: ControlDirective,
base_url: str,
max_retries: int = 3
) -> dict:
url = f"{base_url}/api/v2/conversations/{directive.conversation_id}/recordings"
headers = {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
"Accept": "application/json"
}
payload = {
"action": directive.action.value,
"recordingId": directive.recording_id,
"maxDuration": directive.max_duration_seconds
}
for attempt in range(1, max_retries + 1):
try:
response = await client.post(url, headers=headers, json=payload)
if response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 2 ** attempt))
logger.warning("Rate limited. Retrying in %s seconds (attempt %s)", retry_after, attempt)
await asyncio.sleep(retry_after)
continue
response.raise_for_status()
return response.json()
except httpx.HTTPStatusError as e:
if e.response.status_code in (401, 403):
raise PermissionError(f"Auth failure on recording control: {e}")
if attempt == max_retries:
raise RuntimeError(f"Control failed after {max_retries} attempts: {e}")
await asyncio.sleep(1)
The payload maps directly to the Genesys Cloud recording control API. The retry loop handles 429 responses with exponential backoff. The function raises explicit errors for authentication failures and exhausted retries.
Step 4: Webhook Synchronization and Audit Logging
External media processors require synchronized events. The service exposes a WebSocket endpoint that accepts postMessage-style payloads from the Web SDK, validates them, and forwards control directives while generating structured audit logs.
import json
import logging
from logging.handlers import RotatingFileHandler
audit_logger = logging.getLogger("recording_audit")
audit_logger.setLevel(logging.INFO)
handler = RotatingFileHandler("recording_audit.log", maxBytes=5*1024*1024, backupCount=5)
handler.setFormatter(logging.Formatter("%(asctime)s | %(levelname)s | %(message)s"))
audit_logger.addHandler(handler)
async def handle_websocket_message(websocket, message: str, token_cache: TokenCache, state: RecordingStateMatrix) -> None:
try:
payload = json.loads(message)
directive = ControlDirective.model_validate(payload)
except Exception as e:
await websocket.send(json.dumps({"error": "Invalid payload", "details": str(e)}))
return
token = await token_cache.get_token()
consent_ok = await verify_consent_and_capabilities(
token_cache.client, token, directive.conversation_id, token_cache.config.base_url
)
if not consent_ok:
audit_logger.warning("CONSENT_FAILED | conv=%s | action=%s", directive.conversation_id, directive.action)
await websocket.send(json.dumps({"status": "rejected", "reason": "consent_missing"}))
return
directive.consent_verified = True
state.register(directive)
try:
result = await execute_recording_control(
token_cache.client, token, directive, token_cache.config.base_url
)
audit_logger.info(
"CONTROL_SUCCESS | conv=%s | action=%s | recording=%s | latency=%s",
directive.conversation_id,
directive.action,
result.get("recordingId"),
time.time() - directive.initiated_at
)
await websocket.send(json.dumps({"status": "accepted", "recording": result}))
except Exception as e:
audit_logger.error("CONTROL_FAILED | conv=%s | action=%s | error=%s", directive.conversation_id, directive.action, str(e))
await websocket.send(json.dumps({"status": "failed", "error": str(e)}))
The WebSocket handler parses incoming messages, validates them against the ControlDirective schema, verifies consent, executes the control call, and writes structured audit logs. The latency tracking captures toggle success rates for efficiency monitoring.
Complete Working Example
The following script combines all components into a production-ready recording manager. It initializes authentication, starts the WebSocket bridge, and runs periodic auto-stop checks.
import asyncio
import websockets
import logging
import sys
logging.basicConfig(level=logging.INFO, format="%(asctime)s | %(name)s | %(levelname)s | %(message)s")
async def auto_stop_loop(state: RecordingStateMatrix, token_cache: TokenCache, interval: float = 5.0) -> None:
while True:
expired = state.check_auto_stop()
for conv_id in expired:
directive = state.active_recordings.pop(conv_id, None)
if directive:
state.stop_triggers.pop(conv_id, None)
stop_directive = ControlDirective(
action=RecordingAction.STOP,
conversation_id=conv_id,
recording_id=directive.recording_id,
max_duration_seconds=directive.max_duration_seconds,
consent_verified=True
)
token = await token_cache.get_token()
await execute_recording_control(token_cache.client, token, stop_directive, token_cache.config.base_url)
audit_logger.info("AUTO_STOP_TRIGGERED | conv=%s", conv_id)
await asyncio.sleep(interval)
async def main() -> None:
config = OAuthConfig(client_id="YOUR_CLIENT_ID", client_secret="YOUR_CLIENT_SECRET")
token_cache = TokenCache(config)
state = RecordingStateMatrix()
async with websockets.serve(lambda ws: handle_websocket_message(ws, "", token_cache, state), "127.0.0.1", 8765):
asyncio.create_task(auto_stop_loop(state, token_cache))
logging.info("Recording manager listening on ws://127.0.0.1:8765")
await asyncio.Future()
await token_cache.close()
if __name__ == "__main__":
try:
asyncio.run(main())
except KeyboardInterrupt:
logging.info("Shutting down recording manager")
sys.exit(0)
The script initializes the token cache, starts the WebSocket listener on port 8765, and spawns a background task that checks for expired recordings every 5 seconds. The auto_stop_loop enforces maximum duration limits by issuing stop directives automatically.
Common Errors & Debugging
Error: 401 Unauthorized
- What causes it: Expired access token or invalid client credentials.
- How to fix it: Ensure the token cache refreshes before expiration. Check
client_idandclient_secretinOAuthConfig. Verify the OAuth application has therecording:controlscope assigned in the Genesys Cloud admin console. - Code showing the fix: The
TokenCache.get_token()method checksexpires_atand refreshes automatically. If 401 persists, rotate credentials and verify scope assignments.
Error: 403 Forbidden
- What causes it: The OAuth client lacks the required scopes or the conversation belongs to a different organization.
- How to fix it: Assign
conversation:controlandrecording:controlscopes to the OAuth application. Verify theconversation_idmatches the authenticated organization. - Code showing the fix: Update the
scopefield inTokenCacheto include all required permissions. Use the organization-specific base URL if operating in a multi-org environment.
Error: 429 Too Many Requests
- What causes it: Exceeding Genesys Cloud rate limits during rapid toggle operations or scaling events.
- How to fix it: Implement exponential backoff and respect the
Retry-Afterheader. - Code showing the fix: The
execute_recording_controlfunction readsRetry-Afterand sleeps before retrying. Increasemax_retriesif operating under heavy load.
Error: 400 Bad Request (Validation Failure)
- What causes it: Invalid
conversation_id, missingrecordingIdfor stop/pause actions, or exceeding maximum duration limits. - How to fix it: Validate payloads against the Pydantic schema before dispatch. Ensure
recording_idis populated for non-start actions. - Code showing the fix: The
ControlDirectivemodel usesfield_validatorto enforce identifier format and duration bounds. Catchpydantic.ValidationErrorat the WebSocket entry point.
Error: WebSocket Connection Refused or postMessage Mismatch
- What causes it: The Web SDK client sends malformed JSON or connects to an incorrect endpoint.
- How to fix it: Verify the client payload matches the
ControlDirectiveschema. Usemodel_validateto parse incoming messages. - Code showing the fix: The
handle_websocket_messagefunction wraps parsing in a try-except block and returns structured error responses to the client.