Provisioning Genesys Cloud Media API WebRTC Endpoints via Python SDK

What You Will Build

You will build a production-grade endpoint provisioner that constructs, validates, and submits WebRTC media payloads to Genesys Cloud using the official Python SDK. The provisioner handles ICE matrix generation, STUN server calculation, atomic bind directives, NAT type mismatch detection, port blocking verification, webhook synchronization, latency tracking, and audit logging. You will use Python with the genesyscloud_python_sdk and httpx libraries.

Prerequisites

• OAuth Client Credentials grant type with scopes: media:webRtc:write, media:webRtc:read, endpoint:provisioning:write
• Genesys Cloud Python SDK version 2.0.0 or higher
• Python 3.9+ runtime
• External dependencies: httpx>=0.24.0, pydantic>=2.0.0, structlog>=23.0.0
• Network access to api.mypurecloud.com or your regional Genesys Cloud endpoint

Authentication Setup

The provisioner requires a server-to-server OAuth token. You will implement a token manager that handles initial acquisition, caching, and automatic refresh to prevent 401 interruptions during bulk provisioning.

import time
import httpx
from typing import Optional
from structlog import get_logger

logger = get_logger()

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.base_url = base_url.rstrip("/")
        self.token: Optional[str] = None
        self.expires_at: float = 0.0
        self.client = httpx.Client(timeout=15.0)

    def _acquire_token(self) -> str:
        url = f"{self.base_url}/oauth/token"
        headers = {"Content-Type": "application/x-www-form-urlencoded"}
        data = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        response = self.client.post(url, headers=headers, data=data)
        response.raise_for_status()
        payload = response.json()
        self.token = payload["access_token"]
        self.expires_at = time.time() + payload["expires_in"] - 30.0
        logger.info("oauth_token_acquired", expires_in=payload["expires_in"])
        return self.token

    def get_token(self) -> str:
        if self.token is None or time.time() >= self.expires_at:
            self._acquire_token()
        return self.token  # type: ignore

The get_token method checks expiration before every API call. The thirty-second buffer prevents edge-case token expiry during network latency. You will inject this token into the SDK configuration and direct HTTP clients.

Implementation

Step 1: SDK Initialization and Payload Construction

You will initialize the Genesys Cloud SDK and construct the provisioning payload containing endpoint_ref, ice_matrix, and bind_directive. The payload must conform to the Media API schema while embedding network constraint metadata.

import os
from typing import Dict, Any, List
from genesyscloud_python_sdk import Configuration, ApiClient
from genesyscloud_python_sdk.api import media_api
from genesyscloud_python_sdk.model.web_rtc_endpoint import WebRtcEndpoint
from genesyscloud_python_sdk.rest import ApiException

class EndpointPayloadBuilder:
    def __init__(self, auth_manager: GenesysAuthManager, org_domain: str):
        self.auth = auth_manager
        self.org_domain = org_domain
        self.config = Configuration()
        self.config.host = f"{org_domain}/api/v2"
        self.config.access_token = auth_manager.get_token
        self.api_client = ApiClient(self.config)
        self.media_client = media_api.MediaApi(self.api_client)

    def construct_provisioning_payload(
        self,
        endpoint_id: str,
        stun_servers: List[str],
        max_candidates: int,
        bind_target: str
    ) -> Dict[str, Any]:
        ice_matrix = self._generate_ice_matrix(stun_servers, max_candidates)
        payload = {
            "endpoint_ref": f"webRtc:{endpoint_id}",
            "ice_matrix": ice_matrix,
            "bind_directive": {
                "target": bind_target,
                "mode": "automatic",
                "retry_policy": "exponential_backoff",
                "max_retries": 3
            },
            "network_constraints": {
                "max_candidate_count": max_candidates,
                "firewall_traversal": "stun_only",
                "port_range": {"min": 10000, "max": 60000}
            }
        }
        logger.info("payload_constructed", endpoint_id=endpoint_id, candidates=len(ice_matrix))
        return payload

    def _generate_ice_matrix(self, stun_servers: List[str], max_count: int) -> List[Dict[str, Any]]:
        matrix = []
        for idx, server in enumerate(stun_servers[:max_count]):
            matrix.append({
                "candidate_id": f"stun-{idx}",
                "type": "stun",
                "url": server,
                "priority": 1000 - (idx * 100),
                "transport": "udp"
            })
        return matrix

The construct_provisioning_payload method assembles the exact structure required by the Media API. The ice_matrix generation enforces the max_candidates limit to prevent payload rejection. You will pass this dictionary to the SDK model or use it for direct HTTP submission.

Step 2: Schema Validation and Network Constraint Verification

Before submission, you must validate the payload against network constraints and maximum candidate limits. This step prevents provisioning failures caused by oversized ICE matrices or invalid STUN configurations.

import json
from pydantic import BaseModel, Field, ValidationError
from typing import List, Dict, Any

class NetworkConstraints(BaseModel):
    max_candidate_count: int = Field(ge=1, le=50)
    firewall_traversal: str = Field(pattern=r"^(stun_only|turn_preferred|relay_fallback)$")
    port_range: Dict[str, int]

class BindDirective(BaseModel):
    target: str
    mode: str = Field(pattern=r"^(automatic|manual|failover)$")
    retry_policy: str
    max_retries: int = Field(ge=1, le=10)

class ProvisioningSchema(BaseModel):
    endpoint_ref: str
    ice_matrix: List[Dict[str, Any]]
    bind_directive: BindDirective
    network_constraints: NetworkConstraints

    @staticmethod
    def validate(payload: Dict[str, Any]) -> None:
        try:
            ProvisioningSchema(**payload)
            logger.info("schema_validation_passed", endpoint_ref=payload["endpoint_ref"])
        except ValidationError as e:
            logger.error("schema_validation_failed", errors=e.errors())
            raise RuntimeError(f"Provisioning schema validation failed: {e}")

The ProvisioningSchema class uses Pydantic to enforce strict type checking and range limits. The max_candidate_count field caps at fifty to align with Genesys Cloud Media API defaults. The firewall_traversal field restricts values to supported traversal modes. You will call ProvisioningSchema.validate(payload) before any network call.

Step 3: Atomic HTTP PUT for Bind Directive and NAT Validation

The bind operation requires an atomic HTTP PUT to /api/v2/media/api/webRTC/bind. You will implement retry logic for 429 rate limits and include NAT type mismatch checking and port blocking verification.

import time
import random
from typing import Dict, Any

class BindValidator:
    def __init__(self, auth_manager: GenesysAuthManager, org_domain: str):
        self.auth = auth_manager
        self.base_url = f"{org_domain}/api/v2"
        self.client = httpx.Client(timeout=20.0)

    def execute_atomic_bind(self, endpoint_ref: str, bind_payload: Dict[str, Any]) -> Dict[str, Any]:
        url = f"{self.base_url}/media/api/webRTC/bind"
        headers = {
            "Authorization": f"Bearer {self.auth.get_token()}",
            "Content-Type": "application/json"
        }
        
        attempts = 0
        max_attempts = 5
        while attempts < max_attempts:
            response = self.client.put(url, headers=headers, json=bind_payload)
            
            if response.status_code == 429:
                retry_after = int(response.headers.get("Retry-After", 2 ** attempts))
                jitter = random.uniform(0.1, 0.5)
                logger.warning("rate_limit_encountered", retry_after=retry_after, attempt=attempts + 1)
                time.sleep(retry_after + jitter)
                attempts += 1
                continue
                
            response.raise_for_status()
            result = response.json()
            self._validate_bind_result(endpoint_ref, result)
            logger.info("bind_operation_completed", endpoint_ref=endpoint_ref, latency_ms=response.elapsed.total_seconds() * 1000)
            return result

        raise RuntimeError("Bind operation exhausted retry attempts due to 429 rate limits")

    def _validate_bind_result(self, endpoint_ref: str, result: Dict[str, Any]) -> None:
        nat_type = result.get("nat_type", "unknown")
        port_status = result.get("port_blocking_status", "clear")
        
        if nat_type == "symmetric" and result.get("peer_nat_type") == "full_cone":
            logger.warning("nat_type_mismatch_detected", endpoint_ref=endpoint_ref, local_nat=nat_type, peer_nat=result.get("peer_nat_type"))
            
        if port_status == "blocked":
            logger.error("port_blocking_detected", endpoint_ref=endpoint_ref, blocked_ports=result.get("blocked_ports", []))
            raise RuntimeError(f"Port blocking prevents reliable peer connection for {endpoint_ref}")
            
        logger.info("bind_validation_passed", nat_type=nat_type, port_status=port_status)

The execute_atomic_bind method handles 429 responses with exponential backoff and jitter. The _validate_bind_result method checks for NAT type mismatches and port blocking conditions that cause handshake failures during scaling events. You will use this validator immediately after payload submission.

Step 4: Webhook Synchronization, Latency Tracking, and Audit Logging

You will synchronize provisioning events with an external SIP proxy via endpoint bound webhooks, track latency and success rates, and generate audit logs for media governance.

import json
import time
from typing import List, Dict, Any
from structlog import get_logger

logger = get_logger()

class ProvisioningOrchestrator:
    def __init__(self, builder: EndpointPayloadBuilder, validator: BindValidator, webhook_url: str):
        self.builder = builder
        self.validator = validator
        self.webhook_url = webhook_url
        self.webhook_client = httpx.Client(timeout=10.0)
        self.metrics = {
            "total_provisions": 0,
            "successful_binds": 0,
            "failed_binds": 0,
            "average_latency_ms": 0.0,
            "latency_samples": []
        }

    def provision_endpoint(self, endpoint_id: str, stun_servers: List[str], max_candidates: int, bind_target: str) -> Dict[str, Any]:
        start_time = time.perf_counter()
        self.metrics["total_provisions"] += 1
        
        try:
            payload = self.builder.construct_provisioning_payload(endpoint_id, stun_servers, max_candidates, bind_target)
            ProvisioningSchema.validate(payload)
            
            bind_payload = {
                "endpoint_ref": payload["endpoint_ref"],
                "bind_directive": payload["bind_directive"],
                "ice_matrix": payload["ice_matrix"]
            }
            
            result = self.validator.execute_atomic_bind(payload["endpoint_ref"], bind_payload)
            
            latency_ms = (time.perf_counter() - start_time) * 1000
            self.metrics["successful_binds"] += 1
            self.metrics["latency_samples"].append(latency_ms)
            self.metrics["average_latency_ms"] = sum(self.metrics["latency_samples"]) / len(self.metrics["latency_samples"])
            
            self._sync_webhook(endpoint_id, "success", result, latency_ms)
            self._write_audit_log(endpoint_id, "SUCCESS", payload, result, latency_ms)
            
            logger.info("provision_completed", endpoint_id=endpoint_id, latency_ms=latency_ms)
            return result
            
        except Exception as e:
            latency_ms = (time.perf_counter() - start_time) * 1000
            self.metrics["failed_binds"] += 1
            self._sync_webhook(endpoint_id, "failure", {"error": str(e)}, latency_ms)
            self._write_audit_log(endpoint_id, "FAILURE", {}, {"error": str(e)}, latency_ms)
            logger.error("provision_failed", endpoint_id=endpoint_id, error=str(e))
            raise

    def _sync_webhook(self, endpoint_id: str, status: str, data: Dict[str, Any], latency_ms: float) -> None:
        webhook_payload = {
            "event_type": "endpoint_bound",
            "endpoint_id": endpoint_id,
            "status": status,
            "timestamp": time.time(),
            "latency_ms": latency_ms,
            "data": data
        }
        try:
            self.webhook_client.post(self.webhook_url, json=webhook_payload, timeout=5.0)
        except Exception as e:
            logger.error("webhook_sync_failed", endpoint_id=endpoint_id, error=str(e))

    def _write_audit_log(self, endpoint_id: str, status: str, payload: Dict[str, Any], result: Dict[str, Any], latency_ms: float) -> None:
        audit_entry = {
            "timestamp": time.time(),
            "endpoint_id": endpoint_id,
            "action": "provision_bind",
            "status": status,
            "payload_hash": hash(json.dumps(payload, sort_keys=True)),
            "result_summary": {k: v for k, v in result.items() if k in ["nat_type", "port_blocking_status", "peer_address"]},
            "latency_ms": latency_ms,
            "governance_tag": "media_api_v2"
        }
        logger.info("audit_log_generated", audit_entry=audit_entry)

The ProvisioningOrchestrator class ties all components together. It tracks latency samples, calculates success rates, synchronizes with external webhooks, and writes structured audit logs. The audit logs include payload hashes and governance tags for compliance tracking.

Complete Working Example

import os
import time
import httpx
from typing import List, Dict, Any
from genesyscloud_python_sdk import Configuration, ApiClient
from genesyscloud_python_sdk.api import media_api
from genesyscloud_python_sdk.rest import ApiException
from pydantic import BaseModel, Field, ValidationError
from structlog import get_logger, configure, ConsoleRenderer

configure(processors=[ConsoleRenderer()])
logger = get_logger()

# Authentication Manager
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.base_url = base_url.rstrip("/")
        self.token: str | None = None
        self.expires_at: float = 0.0
        self.client = httpx.Client(timeout=15.0)

    def _acquire_token(self) -> str:
        url = f"{self.base_url}/oauth/token"
        headers = {"Content-Type": "application/x-www-form-urlencoded"}
        data = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        response = self.client.post(url, headers=headers, data=data)
        response.raise_for_status()
        payload = response.json()
        self.token = payload["access_token"]
        self.expires_at = time.time() + payload["expires_in"] - 30.0
        logger.info("oauth_token_acquired", expires_in=payload["expires_in"])
        return self.token

    def get_token(self) -> str:
        if self.token is None or time.time() >= self.expires_at:
            self._acquire_token()
        return self.token  # type: ignore

# Payload Builder
class EndpointPayloadBuilder:
    def __init__(self, auth_manager: GenesysAuthManager, org_domain: str):
        self.auth = auth_manager
        self.org_domain = org_domain
        self.config = Configuration()
        self.config.host = f"{org_domain}/api/v2"
        self.config.access_token = auth_manager.get_token
        self.api_client = ApiClient(self.config)
        self.media_client = media_api.MediaApi(self.api_client)

    def construct_provisioning_payload(
        self,
        endpoint_id: str,
        stun_servers: List[str],
        max_candidates: int,
        bind_target: str
    ) -> Dict[str, Any]:
        ice_matrix = self._generate_ice_matrix(stun_servers, max_candidates)
        payload = {
            "endpoint_ref": f"webRtc:{endpoint_id}",
            "ice_matrix": ice_matrix,
            "bind_directive": {
                "target": bind_target,
                "mode": "automatic",
                "retry_policy": "exponential_backoff",
                "max_retries": 3
            },
            "network_constraints": {
                "max_candidate_count": max_candidates,
                "firewall_traversal": "stun_only",
                "port_range": {"min": 10000, "max": 60000}
            }
        }
        logger.info("payload_constructed", endpoint_id=endpoint_id, candidates=len(ice_matrix))
        return payload

    def _generate_ice_matrix(self, stun_servers: List[str], max_count: int) -> List[Dict[str, Any]]:
        matrix = []
        for idx, server in enumerate(stun_servers[:max_count]):
            matrix.append({
                "candidate_id": f"stun-{idx}",
                "type": "stun",
                "url": server,
                "priority": 1000 - (idx * 100),
                "transport": "udp"
            })
        return matrix

# Schema Validation
class NetworkConstraints(BaseModel):
    max_candidate_count: int = Field(ge=1, le=50)
    firewall_traversal: str = Field(pattern=r"^(stun_only|turn_preferred|relay_fallback)$")
    port_range: Dict[str, int]

class BindDirective(BaseModel):
    target: str
    mode: str = Field(pattern=r"^(automatic|manual|failover)$")
    retry_policy: str
    max_retries: int = Field(ge=1, le=10)

class ProvisioningSchema(BaseModel):
    endpoint_ref: str
    ice_matrix: List[Dict[str, Any]]
    bind_directive: BindDirective
    network_constraints: NetworkConstraints

    @staticmethod
    def validate(payload: Dict[str, Any]) -> None:
        try:
            ProvisioningSchema(**payload)
            logger.info("schema_validation_passed", endpoint_ref=payload["endpoint_ref"])
        except ValidationError as e:
            logger.error("schema_validation_failed", errors=e.errors())
            raise RuntimeError(f"Provisioning schema validation failed: {e}")

# Bind Validator
class BindValidator:
    def __init__(self, auth_manager: GenesysAuthManager, org_domain: str):
        self.auth = auth_manager
        self.base_url = f"{org_domain}/api/v2"
        self.client = httpx.Client(timeout=20.0)

    def execute_atomic_bind(self, endpoint_ref: str, bind_payload: Dict[str, Any]) -> Dict[str, Any]:
        url = f"{self.base_url}/media/api/webRTC/bind"
        headers = {
            "Authorization": f"Bearer {self.auth.get_token()}",
            "Content-Type": "application/json"
        }
        attempts = 0
        max_attempts = 5
        while attempts < max_attempts:
            response = self.client.put(url, headers=headers, json=bind_payload)
            if response.status_code == 429:
                retry_after = int(response.headers.get("Retry-After", 2 ** attempts))
                jitter = random.uniform(0.1, 0.5)
                logger.warning("rate_limit_encountered", retry_after=retry_after, attempt=attempts + 1)
                time.sleep(retry_after + jitter)
                attempts += 1
                continue
            response.raise_for_status()
            result = response.json()
            self._validate_bind_result(endpoint_ref, result)
            logger.info("bind_operation_completed", endpoint_ref=endpoint_ref, latency_ms=response.elapsed.total_seconds() * 1000)
            return result
        raise RuntimeError("Bind operation exhausted retry attempts due to 429 rate limits")

    def _validate_bind_result(self, endpoint_ref: str, result: Dict[str, Any]) -> None:
        nat_type = result.get("nat_type", "unknown")
        port_status = result.get("port_blocking_status", "clear")
        if nat_type == "symmetric" and result.get("peer_nat_type") == "full_cone":
            logger.warning("nat_type_mismatch_detected", endpoint_ref=endpoint_ref, local_nat=nat_type, peer_nat=result.get("peer_nat_type"))
        if port_status == "blocked":
            logger.error("port_blocking_detected", endpoint_ref=endpoint_ref, blocked_ports=result.get("blocked_ports", []))
            raise RuntimeError(f"Port blocking prevents reliable peer connection for {endpoint_ref}")
        logger.info("bind_validation_passed", nat_type=nat_type, port_status=port_status)

# Orchestrator
class ProvisioningOrchestrator:
    def __init__(self, builder: EndpointPayloadBuilder, validator: BindValidator, webhook_url: str):
        self.builder = builder
        self.validator = validator
        self.webhook_url = webhook_url
        self.webhook_client = httpx.Client(timeout=10.0)
        self.metrics = {
            "total_provisions": 0,
            "successful_binds": 0,
            "failed_binds": 0,
            "average_latency_ms": 0.0,
            "latency_samples": []
        }

    def provision_endpoint(self, endpoint_id: str, stun_servers: List[str], max_candidates: int, bind_target: str) -> Dict[str, Any]:
        import random
        start_time = time.perf_counter()
        self.metrics["total_provisions"] += 1
        try:
            payload = self.builder.construct_provisioning_payload(endpoint_id, stun_servers, max_candidates, bind_target)
            ProvisioningSchema.validate(payload)
            bind_payload = {
                "endpoint_ref": payload["endpoint_ref"],
                "bind_directive": payload["bind_directive"],
                "ice_matrix": payload["ice_matrix"]
            }
            result = self.validator.execute_atomic_bind(payload["endpoint_ref"], bind_payload)
            latency_ms = (time.perf_counter() - start_time) * 1000
            self.metrics["successful_binds"] += 1
            self.metrics["latency_samples"].append(latency_ms)
            self.metrics["average_latency_ms"] = sum(self.metrics["latency_samples"]) / len(self.metrics["latency_samples"])
            self._sync_webhook(endpoint_id, "success", result, latency_ms)
            self._write_audit_log(endpoint_id, "SUCCESS", payload, result, latency_ms)
            logger.info("provision_completed", endpoint_id=endpoint_id, latency_ms=latency_ms)
            return result
        except Exception as e:
            latency_ms = (time.perf_counter() - start_time) * 1000
            self.metrics["failed_binds"] += 1
            self._sync_webhook(endpoint_id, "failure", {"error": str(e)}, latency_ms)
            self._write_audit_log(endpoint_id, "FAILURE", {}, {"error": str(e)}, latency_ms)
            logger.error("provision_failed", endpoint_id=endpoint_id, error=str(e))
            raise

    def _sync_webhook(self, endpoint_id: str, status: str, data: Dict[str, Any], latency_ms: float) -> None:
        import json
        webhook_payload = {
            "event_type": "endpoint_bound",
            "endpoint_id": endpoint_id,
            "status": status,
            "timestamp": time.time(),
            "latency_ms": latency_ms,
            "data": data
        }
        try:
            self.webhook_client.post(self.webhook_url, json=webhook_payload, timeout=5.0)
        except Exception as e:
            logger.error("webhook_sync_failed", endpoint_id=endpoint_id, error=str(e))

    def _write_audit_log(self, endpoint_id: str, status: str, payload: Dict[str, Any], result: Dict[str, Any], latency_ms: float) -> None:
        import json
        audit_entry = {
            "timestamp": time.time(),
            "endpoint_id": endpoint_id,
            "action": "provision_bind",
            "status": status,
            "payload_hash": hash(json.dumps(payload, sort_keys=True)),
            "result_summary": {k: v for k, v in result.items() if k in ["nat_type", "port_blocking_status", "peer_address"]},
            "latency_ms": latency_ms,
            "governance_tag": "media_api_v2"
        }
        logger.info("audit_log_generated", audit_entry=audit_entry)

# Execution Entry Point
if __name__ == "__main__":
    import random
    CLIENT_ID = os.environ.get("GENESYS_CLIENT_ID", "your_client_id")
    CLIENT_SECRET = os.environ.get("GENESYS_CLIENT_SECRET", "your_client_secret")
    ORG_DOMAIN = os.environ.get("GENESYS_ORG_DOMAIN", "api.mypurecloud.com")
    WEBHOOK_URL = os.environ.get("WEBHOOK_URL", "https://your-proxy.example.com/hooks/sip-sync")
    
    auth = GenesysAuthManager(CLIENT_ID, CLIENT_SECRET, f"https://{ORG_DOMAIN}")
    builder = EndpointPayloadBuilder(auth, ORG_DOMAIN)
    validator = BindValidator(auth, ORG_DOMAIN)
    orchestrator = ProvisioningOrchestrator(builder, validator, WEBHOOK_URL)
    
    stun_servers = ["stun:stun.l.google.com:19302", "stun:stun1.l.google.com:19302"]
    orchestrator.provision_endpoint("ep-001", stun_servers, max_candidates=10, bind_target="media-node-1")

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: Expired OAuth token, invalid client credentials, or missing Authorization header.
• How to fix it: Verify client_id and client_secret in your environment variables. Ensure the GenesysAuthManager refreshes the token before each request. Check that the token endpoint matches your regional Genesys Cloud URL.
• Code showing the fix: The get_token method automatically calls _acquire_token when time.time() >= self.expires_at. Add explicit logging around token acquisition to trace expiration boundaries.

Error: 403 Forbidden

• What causes it: The OAuth application lacks media:webRtc:write or endpoint:provisioning:write scopes.
• How to fix it: Navigate to the Genesys Cloud admin console, locate the OAuth client, and append the missing scopes. Restart the application to force a new token fetch.
• Code showing the fix: Update the GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables to point to a client with the correct scope configuration. The SDK will reject requests immediately if scopes are insufficient.

Error: 429 Too Many Requests

• What causes it: Exceeding Genesys Cloud Media API rate limits during bulk provisioning or rapid bind retries.
• How to fix it: Implement exponential backoff with jitter. The execute_atomic_bind method already handles this by reading the Retry-After header and applying randomized delays.
• Code showing the fix: Adjust max_attempts in the retry loop if your workload requires longer cooldowns. Monitor Retry-After values to tune your provisioning throughput.

Error: 5xx Internal Server Error

• What causes it: Temporary Genesys Cloud backend failures or malformed ICE matrix payloads.
• How to fix it: Validate the ice_matrix structure against the schema before submission. Implement circuit breaker logic if 5xx errors exceed a threshold.
• Code showing the fix: Wrap the orchestrator call in a retry decorator that catches ApiException with status codes 500-599 and waits before retrying.

Official References

• Genesys Cloud Media API WebRTC Endpoints
• Genesys Cloud Python SDK Documentation
• OAuth 2.0 Client Credentials Flow
• WebRTC ICE and STUN Standards