Defining Genesys Cloud Routing Wrap-Up Codes via REST API with Python

Defining Genesys Cloud Routing Wrap-Up Codes via REST API with Python

What You Will Build

This tutorial provides a production-ready Python module that programmatically creates, validates, and synchronizes routing wrap-up codes in Genesys Cloud CX. The code constructs complex payloads with disposition category matrices, injects automatic reporting tags, validates naming conventions against concurrent limits, and executes atomic POST operations with built-in retry logic. The module also registers webhook callbacks for BI synchronization and generates structured audit logs for governance compliance. This tutorial covers Python using the httpx library for direct REST API interaction.

Prerequisites

  • OAuth Client Credentials flow configured in Genesys Cloud
  • Required scopes: routing:wrapupcode:write, routing:wrapupcode, analytics:events:write, routing:queue
  • Python 3.9 or higher
  • External dependencies: httpx, pydantic, orjson
  • Genesys Cloud API version: v2
  • Base URL: https://{{env}}.mygen.com/api/v2

Authentication Setup

Authentication requires exchanging client credentials for a bearer token. The token expires after one hour and must be cached or refreshed before expiration. The following function handles the OAuth flow with automatic retry on transient network failures.

import httpx
import time
from typing import Optional

OAUTH_URL = "https://login.mypurecloud.com/oauth/token"

def fetch_access_token(
    client_id: str,
    client_secret: str,
    env: str = "us-east-1"
) -> dict:
    """Exchange client credentials for a Genesys Cloud access token."""
    payload = {
        "grant_type": "client_credentials",
        "client_id": client_id,
        "client_secret": client_secret
    }
    
    with httpx.Client(timeout=15.0) as client:
        response = client.post(OAUTH_URL, data=payload)
        response.raise_for_status()
        return response.json()

def get_base_url(env: str) -> str:
    """Return the correct Genesys Cloud API base URL for the environment."""
    env_map = {
        "us-east-1": "api.mypurecloud.com",
        "eu-west-1": "api.eu.mypurecloud.com",
        "ap-southeast-2": "api.ap.mypurecloud.com"
    }
    return f"https://{env_map.get(env, 'api.mypurecloud.com')}/api/v2"

Implementation

Step 1: Validate Payload Schema Against Naming Constraints

Wrap-up code creation fails silently or returns a 400 error if naming conventions are violated. Genesys Cloud enforces strict constraints: codeName must be under 255 characters, code must be under 128 characters, and each queue can only hold a maximum of 1000 concurrent codes. The following validation layer checks constraints before network transmission.

from pydantic import BaseModel, field_validator
import re

class WrapUpCodeSchema(BaseModel):
    code_name: str
    code: str
    code_category_name: str
    routing_queue_id: str
    mandatory_field: bool = False
    valid_from: Optional[str] = None
    valid_through: Optional[str] = None

    @field_validator("code_name")
    @classmethod
    def validate_code_name(cls, v: str) -> str:
        if len(v) > 255:
            raise ValueError("codeName exceeds 255 character limit")
        if not re.match(r"^[A-Za-z0-9 _-]+$", v):
            raise ValueError("codeName contains invalid characters")
        return v

    @field_validator("code")
    @classmethod
    def validate_code(cls, v: str) -> str:
        if len(v) > 128:
            raise ValueError("code exceeds 128 character limit")
        if not re.match(r"^[A-Za-z0-9 _-]+$", v):
            raise ValueError("code contains invalid characters")
        return v

    @field_validator("routing_queue_id")
    @classmethod
    def validate_queue_id(cls, v: str) -> str:
        if len(v) != 36 or not re.match(r"^[0-9a-fA-F-]+$", v):
            raise ValueError("Invalid UUID format for routing_queue_id")
        return v

def check_concurrent_limit(
    client: httpx.Client,
    queue_id: str,
    base_url: str,
    token: str
) -> int:
    """Fetch existing wrap-up codes for a queue to enforce the 1000 code limit."""
    url = f"{base_url}/routing/wrapupcodes"
    headers = {"Authorization": f"Bearer {token}"}
    params = {"routingQueueId": queue_id, "page_size": 1000}
    
    count = 0
    while True:
        response = client.get(url, headers=headers, params=params)
        response.raise_for_status()
        data = response.json()
        count += len(data.get("entities", []))
        
        if not data.get("nextPageToken"):
            break
        params["next_page_token"] = data["nextPageToken"]
        
    return count

Step 2: Construct Code Payloads with Category Matrices and Tag Injection

Genesys Cloud routing relies on disposition categories for reporting. The payload must include a codeCategoryName that matches an existing category in the system. This step constructs the JSON body, injects automatic reporting tags based on the category hierarchy, and prepares the request for atomic submission.

import orjson
from typing import List, Dict, Any

DISPOSITION_MATRIX = {
    "sales": ["conversion", "lead", "follow_up"],
    "support": ["resolved", "escalation", "callback"],
    "compliance": ["voicemail", "no_answer", "wrong_number"]
}

def inject_reporting_tags(
    category: str,
    base_tags: List[str]
) -> List[str]:
    """Generate standardized reporting tags based on disposition category."""
    category_lower = category.lower()
    auto_tags = [f"cat:{category_lower}"]
    
    if category_lower in DISPOSITION_MATRIX:
        auto_tags.extend([f"sub:{sub}" for sub in DISPOSITION_MATRIX[category_lower]])
        
    return list(dict.fromkeys(auto_tags + base_tags))

def build_wrapup_payload(
    schema: WrapUpCodeSchema,
    reporting_tags: List[str]
) -> Dict[str, Any]:
    """Construct the final JSON payload for the POST request."""
    return {
        "codeName": schema.code_name,
        "code": schema.code,
        "codeCategoryName": schema.code_category_name,
        "routingQueue": {
            "id": schema.routing_queue_id
        },
        "mandatoryField": schema.mandatory_field,
        "reportingTags": reporting_tags,
        "validFrom": schema.valid_from,
        "validThrough": schema.valid_through
    }

Step 3: Execute Atomic POST Operations with Retry and Webhook Sync

The creation endpoint supports atomic submission. The following function implements exponential backoff for 429 rate-limit responses, handles 409 conflicts for duplicate codes, and registers a webhook callback for BI synchronization. The webhook listens to routing:wrapupcode:created events.

import time
import logging

logger = logging.getLogger(__name__)

def retry_on_429(func, max_retries: int = 5, base_delay: float = 1.0):
    """Decorator or inline wrapper for handling Genesys Cloud rate limiting."""
    def wrapper(*args, **kwargs):
        for attempt in range(max_retries):
            response = func(*args, **kwargs)
            if response.status_code == 429:
                retry_after = float(response.headers.get("Retry-After", base_delay * (2 ** attempt)))
                logger.warning("Rate limited. Retrying after %.2f seconds", retry_after)
                time.sleep(retry_after)
                continue
            return response
        raise Exception("Max retries exceeded for 429 rate limit")
    return wrapper

@retry_on_429
def create_wrapup_code(
    client: httpx.Client,
    base_url: str,
    token: str,
    payload: Dict[str, Any]
) -> Dict[str, Any]:
    """Submit the wrap-up code payload atomically."""
    url = f"{base_url}/routing/wrapupcodes"
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }
    return client.post(url, headers=headers, content=orjson.dumps(payload))

def register_sync_webhook(
    client: httpx.Client,
    base_url: str,
    token: str,
    callback_url: str,
    webhook_name: str
) -> Dict[str, Any]:
    """Register a webhook to sync wrap-up code changes to external BI platforms."""
    url = f"{base_url}/analytics/events/webhooks"
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json"
    }
    webhook_payload = {
        "name": webhook_name,
        "description": "Syncs wrap-up code creation events to BI platform",
        "callbackUrl": callback_url,
        "eventTypes": ["routing:wrapupcode:created", "routing:wrapupcode:updated"],
        "filters": {
            "matchType": "exact",
            "filters": []
        }
    }
    response = client.post(url, headers=headers, content=orjson.dumps(webhook_payload))
    response.raise_for_status()
    return response.json()

Complete Working Example

The following module combines all components into a single WrapUpCodeManager class. It handles authentication, validation, payload construction, atomic creation, webhook registration, and structured audit logging.

import httpx
import logging
import orjson
from typing import Dict, Any, List, Optional
from datetime import datetime, timezone

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class WrapUpCodeManager:
    def __init__(self, client_id: str, client_secret: str, env: str = "us-east-1"):
        self.client_id = client_id
        self.client_secret = client_secret
        self.env = env
        self.base_url = get_base_url(env)
        self.token_data: Dict[str, Any] = {}
        self.client = httpx.Client(timeout=30.0)

    def authenticate(self) -> None:
        """Fetch and cache OAuth token."""
        self.token_data = fetch_access_token(self.client_id, self.client_secret, self.env)
        logger.info("Authenticated successfully. Expiry: %s", self.token_data.get("expires_in"))

    def _get_token(self) -> str:
        return self.token_data.get("access_token", "")

    def create_and_sync_code(
        self,
        code_name: str,
        code: str,
        category: str,
        queue_id: str,
        callback_url: str,
        extra_tags: Optional[List[str]] = None
    ) -> Dict[str, Any]:
        """End-to-end workflow for wrap-up code creation and BI sync."""
        schema = WrapUpCodeSchema(
            code_name=code_name,
            code=code,
            code_category_name=category,
            routing_queue_id=queue_id,
            mandatory_field=True
        )

        # Enforce concurrent limit
        current_count = check_concurrent_limit(
            self.client, queue_id, self.base_url, self._get_token()
        )
        if current_count >= 1000:
            raise RuntimeError("Queue has reached the maximum wrap-up code limit of 1000")

        # Build payload with injected tags
        tags = inject_reporting_tags(category, extra_tags or [])
        payload = build_wrapup_payload(schema, tags)

        # Atomic POST
        response = create_wrapup_code(
            self.client, self.base_url, self._get_token(), payload
        )
        
        if response.status_code == 409:
            error_body = response.json()
            raise ValueError(f"Conflict: {error_body.get('message')}")
        response.raise_for_status()
        
        created_code = response.json()
        logger.info("Wrap-up code created: %s (ID: %s)", code_name, created_code.get("id"))

        # Register webhook for BI sync
        webhook = register_sync_webhook(
            self.client, self.base_url, self._get_token(),
            callback_url, f"bi-sync-{queue_id}"
        )
        logger.info("Webhook registered: %s", webhook.get("id"))

        # Generate audit log entry
        audit_entry = {
            "timestamp": datetime.now(timezone.utc).isoformat(),
            "action": "wrapupcode_created",
            "queue_id": queue_id,
            "code_id": created_code.get("id"),
            "code_name": code_name,
            "category": category,
            "webhook_id": webhook.get("id"),
            "latency_ms": response.elapsed.total_seconds() * 1000
        }
        logger.info("Audit log: %s", orjson.dumps(audit_entry).decode())
        
        return {
            "code": created_code,
            "webhook": webhook,
            "audit": audit_entry
        }

# Usage example
if __name__ == "__main__":
    manager = WrapUpCodeManager(
        client_id="YOUR_CLIENT_ID",
        client_secret="YOUR_CLIENT_SECRET",
        env="us-east-1"
    )
    manager.authenticate()
    
    result = manager.create_and_sync_code(
        code_name="Technical Support Escalation",
        code="ESC_TECH",
        category="support",
        queue_id="12345678-1234-1234-1234-123456789abc",
        callback_url="https://bi-platform.example.com/genesys/webhook",
        extra_tags=["priority:high", "region:na"]
    )
    print(orjson.dumps(result, option=orjson.OPT_INDENT_2).decode())

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: The OAuth token has expired or the client credentials are invalid.
  • Fix: Re-run the authentication flow. Implement token expiration tracking to refresh before the 3600-second window closes. Verify that the grant_type is set to client_credentials and that the client has the routing:wrapupcode:write scope assigned in the Genesys Cloud admin console.
  • Code Fix: Check expires_in from the token response and cache with a 5-minute safety buffer before expiration.

Error: 403 Forbidden

  • Cause: The OAuth application lacks the required scopes, or the user context does not have routing permissions.
  • Fix: Navigate to the OAuth application settings in Genesys Cloud and add routing:wrapupcode:write and analytics:events:write. Ensure the application is assigned to a role with Routing permissions.
  • Code Fix: Log the exact error payload. The response body contains a message field that specifies the missing scope.

Error: 409 Conflict

  • Cause: A wrap-up code with the same codeName already exists in the target queue and category.
  • Fix: Genesys Cloud enforces uniqueness per queue. Query existing codes first using GET /api/v2/routing/wrapupcodes?routingQueueId={id}&codeName={name}. If a match exists, update it via PUT /api/v2/routing/wrapupcodes/{id} instead of creating a new one.
  • Code Fix: Catch the 409 status code and trigger a conditional update path.

Error: 429 Too Many Requests

  • Cause: The API rate limit has been exceeded. Genesys Cloud enforces per-client and per-endpoint limits.
  • Fix: Implement exponential backoff. The response includes a Retry-After header indicating the exact wait time in seconds.
  • Code Fix: The retry_on_429 wrapper in Step 3 handles this automatically by reading the header and sleeping before retrying.

Error: 400 Bad Request

  • Cause: Payload validation failure. Common triggers include invalid UUID format for routingQueue.id, missing codeCategoryName, or codeName containing unsupported characters.
  • Fix: Validate all fields locally using Pydantic before transmission. Ensure codeCategoryName matches an existing category exactly. Verify that validFrom and validThrough use ISO 8601 format if provided.
  • Code Fix: The WrapUpCodeSchema validator catches these issues before the HTTP request is sent.

Official References