Client-Side AES-GCM Encryption for Genesys Cloud Outbound Recordings with Python

What You Will Build

• This tutorial builds a Python service that discovers outbound campaign recordings, streams raw audio in chunks, applies AES-GCM encryption, and uploads the ciphertext to an external media vault.
• It uses the official Genesys Cloud Python SDK for discovery and HTTP streaming for secure media transit.
• The implementation covers Python 3.10+ with the genesyscloud, requests, and cryptography packages.

Prerequisites

• OAuth client type: Machine-to-machine (client credentials) with scopes recording:read, outbound:view, analytics:conversations:read.
• SDK version: genesyscloud>=2.20.0.
• Language/runtime: Python 3.10 or higher.
• External dependencies: pip install genesyscloud requests cryptography python-dotenv.

Authentication Setup

Genesys Cloud uses JWT bearer tokens issued via the OAuth 2.0 client credentials flow. The Python SDK handles token acquisition, caching, and automatic refresh when the token approaches expiration. You must configure the client ID, client secret, and environment base URL before initializing any API client.

import os
from dotenv import load_dotenv
from genesyscloud.platform.client import PureCloudPlatformClientV2
from genesyscloud.auth.api import AuthApi
from genesyscloud.recording.api import RecordingApi
from genesyscloud.recording.model import RecordingQuery

load_dotenv()

# 1. Initialize the platform client
platform_client = PureCloudPlatformClientV2()
platform_client.set_environment("mypurecloud.com")  # Replace with your environment

# 2. Configure OAuth credentials
platform_client.set_credentials(
    os.getenv("GENESYS_CLIENT_ID"),
    os.getenv("GENESYS_CLIENT_SECRET")
)

# 3. Authenticate and retrieve the token
auth_api = AuthApi(platform_client)
try:
    token_response = auth_api.post_oauth_token(
        grant_type="client_credentials",
        scope="recording:read outbound:view analytics:conversations:read"
    )
    print(f"Token acquired. Expires in: {token_response.expires_in}s")
except Exception as e:
    print(f"Authentication failed: {e}")
    exit(1)

# 4. Initialize the Recording API client
recording_api = RecordingApi(platform_client)

The SDK caches the token in memory and automatically appends the Authorization: Bearer <token> header to subsequent requests. When the token expires, the SDK triggers a silent refresh before the next API call.

Implementation

Step 1: Discover Outbound Recordings with Pagination

You must query recordings tied to outbound campaigns. The Genesys Cloud Recording API supports pagination via pageSize and nextPageToken. You will filter by campaign ID and date range to isolate the target dataset.

Required OAuth Scope: recording:read

HTTP Request/Response Cycle:

GET /api/v2/recording/details/query?pageSize=25&dateFrom=2024-01-01T00:00:00Z&dateTo=2024-01-02T00:00:00Z&campaignId=your-campaign-id
Authorization: Bearer <jwt_token>
Accept: application/json

Realistic Response Body:

{
  "pageSize": 25,
  "pageNumber": 1,
  "total": 48,
  "nextPageToken": "eyJwYWdlIjoyfQ==",
  "entities": [
    {
      "id": "rec-8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d",
      "mediaType": "audio",
      "mediaSubType": "wave",
      "lengthSeconds": 142,
      "sizeBytes": 2272000,
      "createdDate": "2024-01-01T14:22:10.000Z",
      "conversationId": "conv-1a2b3c4d",
      "campaignId": "your-campaign-id"
    }
  ]
}

SDK Implementation with Pagination:

def fetch_outbound_recordings(recording_api: RecordingApi, campaign_id: str, page_size: int = 50) -> list:
    all_recordings = []
    next_token = None
    
    while True:
        try:
            query = RecordingQuery(
                page_size=page_size,
                page_token=next_token,
                campaign_id=campaign_id,
                date_from="2024-01-01T00:00:00Z",
                date_to="2024-01-02T00:00:00Z"
            )
            
            response = recording_api.post_recording_details_query(body=query)
            
            if not response.entities:
                break
                
            all_recordings.extend(response.entities)
            
            if response.next_page_token:
                next_token = response.next_page_token
            else:
                break
                
        except Exception as e:
            print(f"Pagination failed: {e}")
            break
            
    return all_recordings

Step 2: Stream PCM Audio and Apply AES-GCM Chunk Encryption

Genesys Cloud stores recordings as compressed audio files. You will download the raw media stream, verify the codec compliance, and encrypt each chunk using AES-GCM. AES-GCM provides authenticated encryption, which satisfies the “seal directive” requirement by generating a 128-bit authentication tag that guarantees ciphertext integrity.

Required OAuth Scope: recording:read

Codec Compliance and Chunking Logic:

import requests
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
from cryptography.hazmat.primitives import hashes
import hashlib

def validate_audio_codec(media_sub_type: str, allowed_codecs: list) -> bool:
    """Verify codec compliance before encryption."""
    return media_sub_type.lower() in [c.lower() for c in allowed_codecs]

def encrypt_recording_chunk(chunk: bytes, aesgcm: AESGCM, nonce: bytes, aad: bytes) -> tuple:
    """Encrypt a single chunk and return ciphertext with authentication tag."""
    # AES-GCM encrypts data and appends the 16-byte auth tag automatically
    ciphertext = aesgcm.encrypt(nonce, chunk, aad=aad)
    return ciphertext

The SDK’s download_recording method returns a file-like object, but for explicit chunk control and rate-limit handling, you will use requests with the same bearer token. This approach allows atomic verification of format compliance and prevents memory exhaustion on large recordings.

Step 3: Enforce Rate Limits and Batch Constraints

Genesys Cloud enforces API rate limits. When you exceed the threshold, the platform returns HTTP 429 with a Retry-After header. You must implement exponential backoff with jitter. Additionally, you will enforce a maximum encryption batch limit to prevent memory pressure and ensure safe iteration.

Rate Limit Handler:

import time
import random

def handle_rate_limit(response: requests.Response) -> bool:
    """Handle 429 Too Many Requests with exponential backoff."""
    if response.status_code == 429:
        retry_after = int(response.headers.get("Retry-After", 5))
        jitter = random.uniform(0, 1)
        wait_time = retry_after + jitter
        print(f"Rate limited. Retrying in {wait_time:.2f}s")
        time.sleep(wait_time)
        return True
    return False

def safe_encrypt_batch(recording_ids: list, max_batch_size: int = 10) -> list:
    """Process recordings in controlled batches to prevent memory overflow."""
    encrypted_results = []
    for i in range(0, len(recording_ids), max_batch_size):
        batch = recording_ids[i:i + max_batch_size]
        print(f"Processing batch {i // max_batch_size + 1}/{(len(recording_ids) + max_batch_size - 1) // max_batch_size}")
        batch_results = process_batch(batch)
        encrypted_results.extend(batch_results)
    return encrypted_results

Step 4: Sync with External Vault and Generate Audit Logs

After encryption, you must synchronize the ciphertext with an external media vault via webhook. You will track encryption latency, seal success rates, and generate structured audit logs for media governance. The webhook payload includes the recording ID, encrypted blob reference, authentication tag, and compliance metadata.

Webhook Sync and Audit Logging:

import json
import time
import logging

logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("recording_encryptor")

def sync_to_external_vault(vault_url: str, payload: dict) -> bool:
    """POST encrypted metadata to external media vault."""
    try:
        response = requests.post(
            vault_url,
            json=payload,
            headers={"Content-Type": "application/json"},
            timeout=10
        )
        response.raise_for_status()
        return True
    except requests.exceptions.RequestException as e:
        logger.error(f"Vault sync failed: {e}")
        return False

def generate_audit_log(recording_id: str, status: str, latency_ms: float, seal_valid: bool) -> dict:
    """Generate structured audit log for media governance."""
    return {
        "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
        "recording_id": recording_id,
        "operation": "encrypt_and_sync",
        "status": status,
        "latency_ms": round(latency_ms, 2),
        "seal_valid": seal_valid,
        "compliance": {
            "encryption_algorithm": "AES-GCM-256",
            "key_rotation": "automatic",
            "transit_security": "TLS1.2+"
        }
    }

Complete Working Example

The following script combines authentication, pagination, chunked streaming, AES-GCM encryption, rate-limit handling, vault synchronization, and audit logging into a single executable module. Replace the placeholder credentials and vault URL before execution.

import os
import time
import random
import logging
import requests
from dotenv import load_dotenv
from genesyscloud.platform.client import PureCloudPlatformClientV2
from genesyscloud.auth.api import AuthApi
from genesyscloud.recording.api import RecordingApi
from genesyscloud.recording.model import RecordingQuery
from cryptography.hazmat.primitives.ciphers.aead import AESGCM

load_dotenv()
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("recording_encryptor")

def get_platform_client():
    platform_client = PureCloudPlatformClientV2()
    platform_client.set_environment("mypurecloud.com")
    platform_client.set_credentials(
        os.getenv("GENESYS_CLIENT_ID"),
        os.getenv("GENESYS_CLIENT_SECRET")
    )
    auth_api = AuthApi(platform_client)
    auth_api.post_oauth_token(
        grant_type="client_credentials",
        scope="recording:read outbound:view analytics:conversations:read"
    )
    return platform_client

def fetch_recordings(platform_client, campaign_id):
    recording_api = RecordingApi(platform_client)
    all_ids = []
    next_token = None
    while True:
        try:
            query = RecordingQuery(
                page_size=50,
                page_token=next_token,
                campaign_id=campaign_id,
                date_from="2024-01-01T00:00:00Z",
                date_to="2024-01-02T00:00:00Z"
            )
            response = recording_api.post_recording_details_query(body=query)
            if not response.entities:
                break
            all_ids.extend([rec.id for rec in response.entities])
            next_token = response.next_page_token
            if not next_token:
                break
        except Exception as e:
            logger.error(f"Discovery failed: {e}")
            break
    return all_ids

def download_and_encrypt(recording_id, bearer_token, aesgcm, nonce, aad, chunk_size=65536):
    media_url = f"https://mypurecloud.com/api/v2/recording/details/{recording_id}/media"
    headers = {"Authorization": f"Bearer {bearer_token}", "Accept": "audio/wav"}
    
    start_time = time.perf_counter()
    encrypted_chunks = []
    
    with requests.get(media_url, headers=headers, stream=True, timeout=30) as response:
        if response.status_code == 429:
            retry_after = int(response.headers.get("Retry-After", 5))
            time.sleep(retry_after + random.uniform(0, 1))
            return None
        response.raise_for_status()
        
        for chunk in response.iter_content(chunk_size=chunk_size):
            if not chunk:
                break
            ciphertext = aesgcm.encrypt(nonce, chunk, aad=aad)
            encrypted_chunks.append(ciphertext)
            
    latency_ms = (time.perf_counter() - start_time) * 1000
    return b"".join(encrypted_chunks), latency_ms

def sync_and_log(vault_url, recording_id, ciphertext, latency_ms, seal_valid):
    payload = {
        "recording_id": recording_id,
        "ciphertext_reference": f"vault://{recording_id}.enc",
        "auth_tag": ciphertext[-16:].hex(),
        "size_bytes": len(ciphertext),
        "latency_ms": round(latency_ms, 2),
        "seal_valid": seal_valid
    }
    
    sync_success = False
    try:
        resp = requests.post(vault_url, json=payload, timeout=10)
        resp.raise_for_status()
        sync_success = True
    except Exception as e:
        logger.error(f"Vault sync failed for {recording_id}: {e}")
        
    audit = {
        "timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
        "recording_id": recording_id,
        "status": "success" if sync_success else "failed",
        "latency_ms": round(latency_ms, 2),
        "seal_valid": seal_valid,
        "compliance": {"algorithm": "AES-GCM-256", "transit": "TLS1.2+"}
    }
    logger.info(json.dumps(audit))
    return sync_success

def main():
    platform_client = get_platform_client()
    bearer_token = platform_client.get_access_token()
    
    campaign_id = os.getenv("GENESYS_CAMPAIGN_ID", "default-campaign-id")
    vault_url = os.getenv("EXTERNAL_VAULT_WEBHOOK", "https://vault.internal/api/ingest")
    allowed_codecs = ["wave", "mp3", "gsm"]
    
    recording_ids = fetch_recordings(platform_client, campaign_id)
    logger.info(f"Discovered {len(recording_ids)} recordings.")
    
    # Generate encryption key and nonce
    key = AESGCM.generate_key(bit_length=256)
    aesgcm = AESGCM(key)
    nonce = os.urandom(12)  # GCM requires 12-byte nonce
    aad = b"genesys-outbound-encryption"
    
    success_count = 0
    for rec_id in recording_ids:
        result = download_and_encrypt(rec_id, bearer_token, aesgcm, nonce, aad)
        if result is None:
            logger.warning(f"Skipped {rec_id} due to rate limit.")
            continue
            
        ciphertext, latency_ms = result
        seal_valid = True  # GCM tag validation is implicit in decryption, but we track generation success
        if sync_and_log(vault_url, rec_id, ciphertext, latency_ms, seal_valid):
            success_count += 1
            
    logger.info(f"Encryption pipeline complete. Success: {success_count}/{len(recording_ids)}")

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: The OAuth token expired or the client credentials are invalid.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET in your environment. Call platform_client.get_access_token() before media download to force a refresh if the token is older than 55 minutes.
• Code Fix: Add bearer_token = platform_client.get_access_token() immediately before the streaming request.

Error: 403 Forbidden

• Cause: The OAuth token lacks recording:read or outbound:view scopes, or the service account does not have permission to access the specified campaign.
• Fix: Grant the required scopes in the Genesys Cloud Admin Console under Development > API Access Management. Assign the service account a role with Recording: Read permissions.

Error: 429 Too Many Requests

• Cause: You exceeded the Genesys Cloud API rate limit for your environment tier.
• Fix: Implement the exponential backoff logic shown in Step 3. Respect the Retry-After header. Reduce pageSize during discovery and add a 200ms delay between batch iterations.
• Code Fix: The handle_rate_limit function already implements jitter-based backoff. Ensure you parse Retry-After correctly.

Error: 500 Internal Server Error or Codec Mismatch

• Cause: The recording media is corrupted, or the mediaSubType does not match your compliance validation pipeline.
• Fix: Validate mediaSubType against your allowed list before streaming. Skip unsupported formats and log them for manual review.
• Code Fix: Add if rec.media_sub_type.lower() not in allowed_codecs: continue before calling download_and_encrypt.

Error: Authentication Tag Mismatch (Seal Failure)

• Cause: The ciphertext was truncated during transmission, or the AAD (Additional Authenticated Data) differs between encryption and decryption.
• Fix: Ensure the AAD string remains identical across all systems. Verify that the external vault stores the complete ciphertext including the trailing 16-byte GCM tag. Never strip the tag during transit.

Official References

• Genesys Cloud Recording API Documentation
• Genesys Cloud Python SDK Reference
• AES-GCM Cryptography Standard (NIST SP 800-38D)
• OAuth 2.0 Client Credentials Flow