Querying Genesys Cloud Recording Transcription Status with Python SDK

What You Will Build

• A production-ready polling engine that tracks Genesys Cloud recording transcription states, validates audio and language models, and triggers secure download links upon completion.
• This implementation uses the Genesys Cloud Media API (/api/v2/media/recordings) wrapped with httpx for precise rate-limit control and state machine tracking.
• The tutorial covers Python 3.9+ with type hints, Pydantic validation, structured audit logging, and external webhook synchronization.

Prerequisites

• OAuth Client Type: Confidential Client (Client Credentials Flow)
• Required Scopes: media:recordings:view, media:transcriptions:view
• SDK/API Version: Genesys Cloud API v2, genesys-cloud-sdk-python>=3.0.0 (concepts apply, but direct httpx calls are used for explicit rate-limit and retry control)
• Runtime: Python 3.9 or higher
• Dependencies: pip install httpx pydantic structlog uuid

Authentication Setup

Genesys Cloud requires a bearer token for every API call. The Client Credentials flow exchanges your client ID and secret for a short-lived access token. Token caching prevents unnecessary re-authentication and reduces load on the authorization server.

import httpx
import time
from typing import Optional

class GenesysAuthManager:
    def __init__(self, client_id: str, client_secret: str, base_url: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.token_url = f"{base_url}/oauth/token"
        self._access_token: Optional[str] = None
        self._token_expiry: float = 0.0

    def get_token(self) -> str:
        if self._access_token and time.time() < self._token_expiry:
            return self._access_token

        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self._client_secret,
            "scope": "media:recordings:view media:transcriptions:view"
        }

        with httpx.Client(timeout=10.0) as client:
            response = client.post(
                self.token_url,
                data=payload,
                headers={"Content-Type": "application/x-www-form-urlencoded"}
            )
            response.raise_for_status()
            token_data = response.json()
            self._access_token = token_data["access_token"]
            self._token_expiry = time.time() + (token_data["expires_in"] - 30)
            return self._access_token

Implementation

Step 1: Rate-Limited Client and Recording Matrix Configuration

Genesys Cloud enforces strict rate limits on the Media API. A polling loop that ignores 429 responses or Retry-After headers will cascade into exponential backoff failures. This step constructs a rate-limited HTTP client and defines the polling configuration schema.

import httpx
import time
from pydantic import BaseModel, Field
from typing import List, Dict, Any

class CheckDirective(BaseModel):
    polling_interval_seconds: float = Field(5.0, ge=1.0, le=60.0)
    max_polling_attempts: int = Field(120, ge=1)
    rate_limit_requests_per_minute: int = Field(60, ge=10, le=300)
    retry_base_delay: float = Field(1.0, gt=0.0)
    max_retry_attempts: int = Field(3, ge=1)

class RecordingStatusQuerier:
    def __init__(self, auth: GenesysAuthManager, directive: CheckDirective, base_url: str):
        self.auth = auth
        self.directive = directive
        self.base_url = base_url.rstrip("/")
        self.metrics: Dict[str, Any] = {
            "total_checks": 0,
            "successful_checks": 0,
            "rate_limited_count": 0,
            "total_latency_ms": 0.0,
            "state_transitions": []
        }
        
        # Rate limiter state
        self._request_timestamps: List[float] = []

    def _enforce_rate_limit(self) -> None:
        now = time.time()
        window = 60.0
        # Remove timestamps outside the 60-second window
        self._request_timestamps = [ts for ts in self._request_timestamps if now - ts < window]
        
        if len(self._request_timestamps) >= self.directive.rate_limit_requests_per_minute:
            sleep_time = window - (now - self._request_timestamps[0])
            if sleep_time > 0:
                time.sleep(sleep_time)
        
        self._request_timestamps.append(time.time())

    def _get_with_retry(self, endpoint: str) -> httpx.Response:
        for attempt in range(self.directive.max_retry_attempts):
            self._enforce_rate_limit()
            token = self.auth.get_token()
            
            with httpx.Client(timeout=15.0) as client:
                response = client.get(
                    f"{self.base_url}{endpoint}",
                    headers={
                        "Authorization": f"Bearer {token}",
                        "Accept": "application/json",
                        "User-Agent": "GenesysTranscriptionQuerier/1.0"
                    }
                )
                
            if response.status_code == 429:
                retry_after = float(response.headers.get("Retry-After", self.directive.retry_base_delay * (2 ** attempt)))
                self.metrics["rate_limited_count"] += 1
                time.sleep(retry_after)
                continue
                
            if response.status_code == 401:
                # Force token refresh
                self.auth._access_token = None
                continue
                
            return response
            
        raise httpx.HTTPStatusError("Max retries exceeded", request=response.request, response=response)

HTTP Request/Response Cycle Reference

GET /api/v2/media/recordings/a1b2c3d4-5678-90ab-cdef-1234567890ab HTTP/1.1
Host: mycompany.mygenesiscloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Accept: application/json
User-Agent: GenesysTranscriptionQuerier/1.0

HTTP/1.1 200 OK
Content-Type: application/json
RateLimit-Remaining: 45
Retry-After: 12

{
  "id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "status": "processing",
  "transcriptionStatus": "queued",
  "audioFormat": "wav",
  "duration": 45.2,
  "languageCode": "en-US",
  "createdTime": "2023-10-25T14:30:00Z",
  "links": {
    "self": {
      "href": "/api/v2/media/recordings/a1b2c3d4-5678-90ab-cdef-1234567890ab"
    }
  }
}

Step 2: State Machine Transitions and Atomic GET Operations

The Media API returns a Recording object with discrete status fields. The state machine tracks transitions from queued to processing to complete or failed. Atomic GET operations ensure that each polling cycle fetches a fresh snapshot before evaluating state changes.

from enum import Enum
from typing import Optional, Tuple
import structlog

logger = structlog.get_logger()

class RecordingState(Enum):
    QUEUED = "queued"
    PROCESSING = "processing"
    COMPLETE = "complete"
    FAILED = "failed"

class RecordingStateTracker:
    def __init__(self):
        self.history: Dict[str, RecordingState] = {}

    def check_transition(self, recording_id: str, new_state: RecordingState) -> bool:
        previous = self.history.get(recording_id)
        if previous != new_state:
            self.history[recording_id] = new_state
            logger.info("state_transition", recording_id=recording_id, from_state=previous, to_state=new_state)
            return True
        return False

    def get_state(self, recording_id: str) -> Optional[RecordingState]:
        return self.history.get(recording_id)

Step 3: Validation Pipelines and Download Trigger Logic

Before marking a recording as ready, the system must verify recording integrity and language model alignment. This pipeline checks audio duration, format compatibility, and transcription status. Upon successful validation, the system extracts the secure download link from the links object.

from pydantic import BaseModel, field_validator
import uuid

class RecordingValidationPipeline(BaseModel):
    recording_id: str
    status: str
    transcription_status: str
    audio_format: str
    duration: float
    language_code: str
    links: Dict[str, Any]

    @field_validator("duration")
    @classmethod
    def validate_duration(cls, v: float) -> float:
        if v <= 0.0:
            raise ValueError("Recording duration must be greater than zero")
        return v

    @field_validator("audio_format")
    @classmethod
    def validate_format(cls, v: str) -> str:
        allowed = {"wav", "mp3", "ogg"}
        if v.lower() not in allowed:
            raise ValueError(f"Unsupported audio format: {v}")
        return v.lower()

    def is_transcription_ready(self) -> bool:
        return (
            self.status == RecordingState.COMPLETE.value and
            self.transcription_status in ("complete", "partial") and
            "download" in self.links
        )

    def get_download_url(self) -> Optional[str]:
        if self.is_transcription_ready():
            download_link = self.links.get("download", {})
            return download_link.get("href")
        return None

Step 4: Webhook Synchronization, Metrics, and Audit Logging

External analytics pipelines require synchronized status events. This step implements webhook delivery with idempotency keys, tracks polling latency, and generates structured audit logs for media governance compliance.

import json
from datetime import datetime, timezone

class MediaEventSync:
    def __init__(self, webhook_url: str):
        self.webhook_url = webhook_url

    def post_status_event(self, recording_id: str, status: str, transcription_status: str, download_url: Optional[str], latency_ms: float) -> bool:
        event_payload = {
            "event_id": str(uuid.uuid4()),
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "recording_id": recording_id,
            "status": status,
            "transcription_status": transcription_status,
            "download_url": download_url,
            "query_latency_ms": latency_ms
        }

        try:
            with httpx.Client(timeout=10.0) as client:
                response = client.post(
                    self.webhook_url,
                    json=event_payload,
                    headers={"Content-Type": "application/json", "X-Idempotency-Key": event_payload["event_id"]}
                )
                response.raise_for_status()
                logger.info("webhook_sent", event_id=event_payload["event_id"])
                return True
        except httpx.HTTPError as e:
            logger.error("webhook_failed", error=str(e))
            return False

class RecordingStatusQuerier:
    # ... (previous init and methods) ...

    def poll_recording(self, recording_id: str, tracker: RecordingStateTracker, sync: MediaEventSync) -> Optional[str]:
        endpoint = f"/api/v2/media/recordings/{recording_id}"
        start_time = time.time()
        
        response = self._get_with_retry(endpoint)
        response.raise_for_status()
        
        data = response.json()
        latency_ms = (time.time() - start_time) * 1000
        
        self.metrics["total_checks"] += 1
        self.metrics["total_latency_ms"] += latency_ms
        
        try:
            pipeline = RecordingValidationPipeline(**data)
        except Exception as e:
            logger.error("validation_failed", recording_id=recording_id, error=str(e))
            return None

        current_state = RecordingState(data["status"])
        transitioned = tracker.check_transition(recording_id, current_state)
        
        if transitioned:
            self.metrics["successful_checks"] += 1
            self.metrics["state_transitions"].append({
                "recording_id": recording_id,
                "new_state": current_state.value,
                "timestamp": datetime.now(timezone.utc).isoformat()
            })

        download_url = pipeline.get_download_url()
        if download_url:
            sync.post_status_event(
                recording_id=recording_id,
                status=current_state.value,
                transcription_status=pipeline.transcription_status,
                download_url=download_url,
                latency_ms=latency_ms
            )
            logger.info("recording_ready", recording_id=recording_id, download_url=download_url)
            return download_url
            
        time.sleep(self.directive.polling_interval_seconds)
        return None

Complete Working Example

The following script integrates all components into a runnable module. Replace the placeholder credentials and recording IDs before execution.

#!/usr/bin/env python3
import time
import structlog
from typing import List

# Import classes from previous sections
# (In production, separate these into distinct modules)

def main():
    structlog.configure(
        processors=[
            structlog.processors.add_log_level,
            structlog.processors.TimeStamper(fmt="iso"),
            structlog.processors.JSONRenderer()
        ],
        logger_factory=structlog.PrintLoggerFactory()
    )
    logger = structlog.get_logger()

    auth = GenesysAuthManager(
        client_id="your_client_id",
        client_secret="your_client_secret",
        base_url="https://mycompany.mygenesiscloud.com"
    )

    directive = CheckDirective(
        polling_interval_seconds=10.0,
        max_polling_attempts=60,
        rate_limit_requests_per_minute=30
    )

    querier = RecordingStatusQuerier(auth=auth, directive=directive, base_url="https://mycompany.mygenesiscloud.com")
    tracker = RecordingStateTracker()
    sync = MediaEventSync(webhook_url="https://analytics.internal/api/v1/media-events")

    recording_matrix = [
        "a1b2c3d4-5678-90ab-cdef-1234567890ab",
        "b2c3d4e5-6789-01bc-defg-2345678901bc"
    ]

    active_recordings = list(recording_matrix)
    
    while active_recordings:
        next_active = []
        for rec_id in active_recordings:
            result = querier.poll_recording(rec_id, tracker, sync)
            if result:
                logger.info("processing_complete", recording_id=rec_id)
            else:
                next_active.append(rec_id)
        
        active_recordings = next_active
        
        # Check termination condition
        if not active_recordings:
            break
            
        # Safety break to prevent infinite loops on failed recordings
        if time.time() > querier.directive.polling_interval_seconds * querier.directive.max_polling_attempts:
            logger.warning("max_polling_exceeded", remaining=active_recordings)
            break

    print("Querying session complete. Metrics:", querier.metrics)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 429 Too Many Requests

• Cause: The polling loop exceeds the configured rate_limit_requests_per_minute or ignores the Retry-After header returned by Genesys Cloud.
• Fix: The _enforce_rate_limit method tracks request timestamps and sleeps when the window fills. The _get_with_retry method explicitly parses Retry-After and applies exponential backoff. Verify that rate_limit_requests_per_minute matches your organization’s API tier.
• Code Reference: See _get_with_retry retry loop and _enforce_rate_limit sliding window logic.

Error: 401 Unauthorized or Token Expiration

• Cause: The bearer token expired mid-poll, or the client credentials lack media:recordings:view.
• Fix: The GenesysAuthManager caches tokens and subtracts 30 seconds from the expiry window to prevent edge-case failures. The polling loop catches 401 and forces a token refresh by setting self.auth._access_token = None.
• Code Reference: get_token expiry buffer and 401 handling in _get_with_retry.

Error: Pydantic ValidationError on Audio Format or Duration

• Cause: Genesys Cloud returns a recording with duration: 0.0 or an unsupported audioFormat like flac in environments that only provision wav or mp3.
• Fix: The RecordingValidationPipeline enforces strict field validators. When validation fails, the loop logs the error and continues polling. Adjust the validate_format allowlist if your tenant supports additional codecs.
• Code Reference: field_validator methods in RecordingValidationPipeline.

Error: Missing Download Link in Links Object

• Cause: The recording status is complete but the links.download object is absent because media storage provisioning is delayed or the recording failed post-processing.
• Fix: The is_transcription_ready method requires both status == complete and transcription_status alignment before attempting extraction. The system waits for the next polling cycle until the link materializes.
• Code Reference: get_download_url conditional check.

Official References

• Genesys Cloud Media Recordings API Documentation
• Genesys Cloud OAuth 2.0 Authorization Guide
• Python SDK Reference (PureCloudPlatformClientV2)
• HTTP Rate Limiting Best Practices