Sending Genesys Cloud Templated Email Messages via Python API
What You Will Build
- A Python module that constructs and dispatches templated email messages using the Genesys Cloud Email API with atomic POST operations.
- The implementation uses
httpxfor direct REST calls, validating payloads against mailbox constraints, verifying SPF/DKIM domain alignment, and tracking delivery latency and bounce events. - Python 3.9+ covers the implementation with type hints, schema validation, retry logic, and audit logging for production email automation.
Prerequisites
- OAuth Client Credentials flow with required scopes:
email:message:send,email:template:read,email:mailbox:read,email:domain:read,webhook:inbound:write - Genesys Cloud REST API v2 endpoints (no third-party SDK required)
- Python 3.9+,
httpx,pydantic,tenacity,base64,json,logging,time - A verified sending domain with SPF and DKIM configured in the Genesys Cloud admin console
- A valid mailbox ID and email template ID
Authentication Setup
Genesys Cloud uses OAuth 2.0 Client Credentials flow for server-to-server API access. You must cache the access token and refresh it before expiration to avoid 401 interruptions during batch sends.
import httpx
import time
from dataclasses import dataclass
from typing import Optional
@dataclass
class OauthConfig:
client_id: str
client_secret: str
org_id: str
base_url: str = "https://api.mypurecloud.com"
class TokenManager:
def __init__(self, config: OauthConfig):
self.config = config
self.access_token: Optional[str] = None
self.token_expiry: float = 0.0
self.client = httpx.Client()
def get_access_token(self) -> str:
if self.access_token and time.time() < self.token_expiry - 60:
return self.access_token
url = f"{self.config.base_url}/api/v2/oauth/token"
headers = {"Content-Type": "application/x-www-form-urlencoded"}
data = {
"grant_type": "client_credentials",
"client_id": self.config.client_id,
"client_secret": self.config.client_secret,
"scope": "email:message:send email:template:read email:mailbox:read email:domain:read webhook:inbound:write"
}
response = self.client.post(url, headers=headers, data=data, timeout=10.0)
response.raise_for_status()
payload = response.json()
self.access_token = payload["access_token"]
self.token_expiry = time.time() + payload["expires_in"]
return self.access_token
The token manager enforces a sixty-second safety buffer before expiration. All subsequent API calls will use get_access_token() to inject the Bearer header.
Implementation
Step 1: Validate Mailbox Constraints & Domain Alignment
Genesys Cloud enforces per-mailbox attachment size limits and daily send quotas. You must query the mailbox configuration before constructing the send payload. You must also verify that the sending domain has SPF and DKIM alignment enabled to prevent infrastructure-level rejection.
import httpx
from typing import Dict, Any
class MailboxValidator:
def __init__(self, token_manager: TokenManager):
self.token_manager = token_manager
self.client = httpx.Client()
def validate_mailbox_and_domain(self, mailbox_id: str, domain_id: str) -> Dict[str, Any]:
token = self.token_manager.get_access_token()
headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
# Fetch mailbox constraints
mailbox_url = f"{self.token_manager.config.base_url}/api/v2/email/mailboxes/{mailbox_id}"
mailbox_resp = self.client.get(mailbox_url, headers=headers, timeout=10.0)
mailbox_resp.raise_for_status()
mailbox_data = mailbox_resp.json()
# Fetch domain alignment status
domain_url = f"{self.token_manager.config.base_url}/api/v2/email/domains/{domain_id}"
domain_resp = self.client.get(domain_url, headers=headers, timeout=10.0)
domain_resp.raise_for_status()
domain_data = domain_resp.json()
if not domain_data.get("spf_alignment"):
raise ValueError("SPF alignment is not enabled for the configured domain. Send will fail.")
if not domain_data.get("dkim_alignment"):
raise ValueError("DKIM alignment is not enabled for the configured domain. Send will fail.")
return {
"max_attachment_size_bytes": mailbox_data.get("max_attachment_size", 10485760),
"daily_limit": mailbox_data.get("daily_limit", 10000),
"current_daily_count": mailbox_data.get("current_daily_count", 0)
}
This step returns the hard limits you must respect. The domain check ensures SPF and DKIM are aligned before any payload construction occurs.
Step 2: Construct Send Payload with Template ID, Variables, & Attachments
The Email API expects a specific JSON structure. You will reference a template ID, map recipient variable matrices, and encode attachments as base64. Pydantic validates the schema before dispatch.
import base64
import pydantic
from typing import List, Optional
class Recipient(pydantic.BaseModel):
to: List[Dict[str, str]]
template_variables: Optional[Dict[str, str]] = None
class Attachment(pydantic.BaseModel):
name: str
content_type: str
content: str # base64 encoded
class EmailSendPayload(pydantic.BaseModel):
from_address: Dict[str, str]
recipients: List[Recipient]
template_id: str
attachments: Optional[List[Attachment]] = None
def build_send_payload(
sender_address: str,
sender_name: str,
template_id: str,
recipient_matrix: List[Dict[str, Any]],
attachment_path: Optional[str] = None
) -> EmailSendPayload:
recipients = []
for rec in recipient_matrix:
recipients.append(Recipient(
to=[{"address": rec["email"], "name": rec.get("name", "")}],
template_variables=rec.get("variables")
))
attachments = None
if attachment_path:
with open(attachment_path, "rb") as f:
content_bytes = f.read()
if len(content_bytes) > 10485760:
raise ValueError("Attachment exceeds maximum 10MB limit.")
encoded = base64.b64encode(content_bytes).decode("utf-8")
attachments = [Attachment(
name=attachment_path.split("/")[-1],
content_type="application/octet-stream",
content=encoded
)]
return EmailSendPayload(
from_address={"address": sender_address, "name": sender_name},
recipients=recipients,
template_id=template_id,
attachments=attachments
)
The recipient_matrix supports variable injection per recipient. The template engine in Genesys Cloud resolves {{name}} or {{order_id}} against the template_variables map. Attachment size validation occurs before base64 encoding to prevent 400 schema errors.
Step 3: Dispatch via Atomic POST & Handle Bounces/Retries
Genesys Cloud processes email sends as atomic operations. A single POST returns a message ID array. You must implement retry logic for 429 rate limits and 5xx transient errors. Bounce handling occurs automatically on the platform side, but you must poll message status to trigger safe iteration or suppression.
import time
import tenacity
import logging
from typing import List, Dict, Any
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class EmailDispatcher:
def __init__(self, token_manager: TokenManager):
self.token_manager = token_manager
self.client = httpx.Client()
@tenacity.retry(
stop=tenacity.stop_after_attempt(3),
wait=tenacity.wait_exponential(multiplier=1, min=2, max=10),
retry=tenacity.retry_if_exception_type((httpx.HTTPError,)),
reraise=True
)
def send_messages(self, payload: EmailSendPayload) -> Dict[str, Any]:
token = self.token_manager.get_access_token()
headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
url = f"{self.token_manager.config.base_url}/api/v2/email/messages"
start_time = time.time()
response = self.client.post(url, headers=headers, json=payload.model_dump(), timeout=30.0)
latency_ms = (time.time() - start_time) * 1000
if response.status_code == 429:
raise httpx.HTTPError("Rate limit exceeded. Backing off.")
response.raise_for_status()
result = response.json()
logger.info("Dispatch successful. Message IDs: %s", result.get("messageIds"))
return {
"message_ids": result.get("messageIds", []),
"latency_ms": latency_ms,
"status_code": response.status_code
}
def check_bounce_status(self, message_ids: List[str]) -> List[Dict[str, Any]]:
token = self.token_manager.get_access_token()
headers = {"Authorization": f"Bearer {token}"}
results = []
for msg_id in message_ids:
url = f"{self.token_manager.config.base_url}/api/v2/email/messages/{msg_id}"
resp = self.client.get(url, headers=headers, timeout=10.0)
resp.raise_for_status()
msg_data = resp.json()
status = msg_data.get("status", "unknown")
if status in ("bounce", "failed"):
logger.warning("Bounce detected for message %s. Reason: %s", msg_id, msg_data.get("statusReason"))
results.append({"message_id": msg_id, "status": status, "reason": msg_data.get("statusReason")})
return results
The tenacity decorator handles exponential backoff for rate limits. The bounce checker queries each message ID to retrieve final delivery status. You can use this output to suppress addresses or trigger CRM updates.
Step 4: Webhook Registration, Latency Tracking & Audit Logging
You must synchronize delivery events with external systems by registering an inbound webhook for email.message.update. The dispatcher tracks latency and success rates, then writes structured audit logs for governance.
import json
import logging
from pathlib import Path
from datetime import datetime
class DeliverySyncManager:
def __init__(self, token_manager: TokenManager, audit_log_path: str = "email_audit.log"):
self.token_manager = token_manager
self.client = httpx.Client()
self.audit_log_path = audit_log_path
self.success_count = 0
self.total_count = 0
self.latency_sum = 0.0
def register_delivery_webhook(self, callback_url: str, webhook_name: str) -> str:
token = self.token_manager.get_access_token()
headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
url = f"{self.token_manager.config.base_url}/api/v2/webhooks/inbound"
payload = {
"name": webhook_name,
"eventTypes": ["email.message.update"],
"callbackUrl": callback_url,
"requestType": "POST",
"contentType": "application/json",
"enabled": True
}
response = self.client.post(url, headers=headers, json=payload, timeout=10.0)
response.raise_for_status()
return response.json().get("id", "unknown")
def record_send_metrics(self, latency_ms: float, success: bool) -> None:
self.total_count += 1
if success:
self.success_count += 1
self.latency_sum += latency_ms
avg_latency = self.latency_sum / self.total_count if self.total_count > 0 else 0
success_rate = (self.success_count / self.total_count) * 100 if self.total_count > 0 else 0
log_entry = {
"timestamp": datetime.utcnow().isoformat(),
"latency_ms": latency_ms,
"avg_latency_ms": round(avg_latency, 2),
"success_rate_pct": round(success_rate, 2),
"total_sends": self.total_count
}
with open(self.audit_log_path, "a") as f:
f.write(json.dumps(log_entry) + "\n")
logger.info("Audit logged: %s", log_entry)
The webhook listens to platform-generated delivery updates. The metrics recorder maintains a running tally of latency and acceptance rates. Each send iteration appends a JSON line to the audit file for compliance tracking.
Complete Working Example
The following script combines all components into a single executable module. Replace the placeholder credentials and IDs before running.
import httpx
import time
from typing import List, Dict, Any
# Import components from previous sections
# TokenManager, MailboxValidator, EmailDispatcher, DeliverySyncManager, EmailSendPayload, build_send_payload
def main():
config = OauthConfig(
client_id="YOUR_CLIENT_ID",
client_secret="YOUR_CLIENT_SECRET",
org_id="YOUR_ORG_ID"
)
token_mgr = TokenManager(config)
validator = MailboxValidator(token_mgr)
dispatcher = EmailDispatcher(token_mgr)
sync_mgr = DeliverySyncManager(token_mgr)
mailbox_id = "YOUR_MAILBOX_UUID"
domain_id = "YOUR_DOMAIN_UUID"
template_id = "YOUR_TEMPLATE_UUID"
callback_url = "https://your-crm-system.com/webhooks/genesys-delivery"
# 1. Validate constraints
try:
limits = validator.validate_mailbox_and_domain(mailbox_id, domain_id)
logger.info("Mailbox limits: %s", limits)
except httpx.HTTPError as e:
logger.error("Validation failed: %s", e)
return
# 2. Register webhook
try:
webhook_id = sync_mgr.register_delivery_webhook(callback_url, "EmailDeliverySync")
logger.info("Webhook registered: %s", webhook_id)
except httpx.HTTPError as e:
logger.warning("Webhook registration failed or duplicate: %s", e)
# 3. Build payload
recipient_matrix = [
{"email": "recipient1@example.com", "name": "Alice", "variables": {"order_id": "ORD-1001"}},
{"email": "recipient2@example.com", "name": "Bob", "variables": {"order_id": "ORD-1002"}}
]
try:
payload = build_send_payload(
sender_address="noreply@yourdomain.com",
sender_name="Your Company",
template_id=template_id,
recipient_matrix=recipient_matrix,
attachment_path=None
)
except ValueError as e:
logger.error("Payload construction failed: %s", e)
return
# 4. Dispatch & Track
try:
result = dispatcher.send_messages(payload)
success = result["status_code"] in (200, 201)
sync_mgr.record_send_metrics(result["latency_ms"], success)
# 5. Bounce check after short delay
time.sleep(2)
bounce_results = dispatcher.check_bounce_status(result["message_ids"])
logger.info("Bounce check results: %s", bounce_results)
except httpx.HTTPError as e:
logger.error("Dispatch failed: %s", e)
sync_mgr.record_send_metrics(0, False)
if __name__ == "__main__":
main()
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: Expired token, missing
email:message:sendscope, or incorrect client credentials. - Fix: Verify the OAuth client configuration in the Genesys Cloud admin console. Ensure the token manager refreshes before expiration. Check that the
scopeparameter includes all required permissions.
Error: 400 Bad Request
- Cause: Invalid JSON schema, attachment exceeds mailbox limit, or template ID does not exist.
- Fix: Validate the payload against the
EmailSendPayloadPydantic model before sending. Confirm the template ID is active. Ensure attachments are base64 encoded and under the mailboxmax_attachment_size.
Error: 403 Forbidden
- Cause: OAuth client lacks permission to access the mailbox or domain resource.
- Fix: Assign the OAuth client to a role with
email:message:sendandemail:mailbox:readcapabilities. Verify the mailbox owner permissions.
Error: 429 Too Many Requests
- Cause: Exceeded Genesys Cloud rate limits for email dispatch.
- Fix: The
tenacityretry decorator handles exponential backoff. Implement request queuing or batch throttling in production to stay under 100 requests per second for email endpoints.
Error: 503 Service Unavailable
- Cause: Genesys Cloud platform maintenance or transient backend failure.
- Fix: Implement circuit breaker logic. Retry after thirty seconds. Log the event and suppress duplicate sends to prevent queue buildup.