Programmatic Enforcement of After Call Work Timeouts via Genesys Cloud CX API

How-To-Articles
1

Programmatic Enforcement of After Call Work Timeouts via Genesys Cloud CX API

What This Guide Covers

This guide details the configuration of After Call Work (ACW) timeout durations and the implementation of programmatic enforcement mechanisms using the Genesys Cloud REST API. The end result is a fully auditable, API-controlled ACW lifecycle that allows external systems to trigger state transitions or enforce global timeout policies dynamically.

Prerequisites, Roles & Licensing

  • Licensing Tier: Genesys Cloud CX Enterprise Edition (PureCloud Edition 3 or higher) required for advanced Conversation Settings API access. WEM Add-on is recommended for granular queue-level overrides via API.
  • Granular Permissions: The executing service principal requires conversation.settings:read, conversation.settings:write, and conversations:acw:end permissions within the Identity & Access Management (IAM) application configuration.
  • OAuth Scopes: The access token must include the scope https://api.mypurecloud.com/api/v2/conversation/settings for configuration updates and https://api.mypurecloud.com/api/v2/conversations/{conversationId}/acw/end for enforcement actions.
  • External Dependencies: A middleware layer (e.g., Node.js, Python, or Java SDK) capable of handling asynchronous HTTP requests with exponential backoff logic. The CRM system or external application triggering the ACW end action must have a stable network path to the Genesys Cloud API endpoints.

The Implementation Deep-Dive

1. Configuring Global ACW Timeout Policy via Conversation Settings

The foundational step in programmatic enforcement is establishing the default timeout duration at the organization level. While the user interface allows for static configuration, API-driven configuration enables version control of settings and synchronization across multiple environments (Development, Staging, Production).

Architectural Reasoning:
We utilize the PUT /api/v2/conversationsettings endpoint rather than the User Settings API because ACW timeout is a conversation-level state constraint that impacts routing logic and reporting metrics globally. Configuring this via Conversation Settings ensures consistency regardless of which specific queue or routing strategy an agent utilizes during the interaction.

Configuration Payload:
To update the default timeout duration, construct a request body targeting the defaultAcwTimeoutSeconds property within the conversation settings object. The value must be an integer representing seconds, with a valid range of 0 to 3600.

PUT /api/v2/conversationsettings
Content-Type: application/json
Authorization: Bearer <access_token>

{
    "defaultAcwTimeoutSeconds": 180,
    "autoEndAcw": false,
    "acwTimeoutBehavior": "TRANSFER_TO_AVAILABLE"
}

Field Analysis:

  • defaultAcwTimeoutSeconds: Sets the baseline duration. Once an agent enters ACW state following a conversation end, this timer begins counting down immediately.
  • autoEndAcw: When set to false, the system requires manual intervention or an explicit API call to end the ACW state before the timeout expires. This allows for integration logic to determine if work is complete.
  • acwTimeoutBehavior: Defines the state transition upon timer expiration. TRANSFER_TO_AVAILABLE returns the agent to the available pool, while LOCKED_ACW maintains the agent in a non-routable state until manual intervention occurs.

The Trap:
A common misconfiguration involves setting defaultAcwTimeoutSeconds to 0 or a negative value during initial deployment. While the API may accept the payload without immediate validation errors, this results in an immediate ACW timeout that forces agents back to Available status before they can complete documentation tasks. The downstream effect is a loss of post-call data quality and potential compliance violations if notes are not captured within the mandated window. Always validate the integer range strictly in your middleware prior to sending the request.

Implementation Logic:
When updating these settings, implement an idempotency check. Query the current settings via GET /api/v2/conversationsettings first. Compare the existing defaultAcwTimeoutSeconds value with the target value. Only issue the PUT request if a discrepancy exists to avoid unnecessary API rate limit consumption and audit log noise.

2. Implementing Dynamic Enforcement via Conversation Actions

The second phase involves moving from static configuration to dynamic enforcement. This capability allows an external system, such as a CRM or Knowledge Base application, to signal the completion of ACW tasks programmatically. This is critical for scenarios where agent productivity varies significantly based on interaction complexity.

Architectural Reasoning:
We use the POST /api/v2/conversations/{conversationId}/acw/end endpoint rather than relying solely on the system timer because it decouples the completion of work from the passage of time. This enables a “Work Complete” signal to end ACW immediately, reducing agent idle time and improving occupancy metrics. However, this requires strict state validation to prevent race conditions where an API call attempts to terminate a conversation that is not yet in the ACW state.

Enforcement Payload:
The enforcement request does not require a JSON body beyond authentication headers, but it requires precise identification of the conversation object.

POST /api/v2/conversations/{conversationId}/acw/end
Content-Type: application/json
Authorization: Bearer <access_token>

{
    "comment": "CRM Integration - Case Saved Successfully",
    "forceEnd": true
}

Field Analysis:

  • comment: A mandatory string field that logs the reason for the ACW termination. This is crucial for audit trails and future analytics regarding why agents exit ACW early.
  • forceEnd: A boolean flag allowing the API to bypass certain validation checks if the conversation state is unstable. Use this only when a soft timeout has failed or the agent interface is unresponsive.

The Trap:
The most frequent failure mode occurs when the external system calls the enforcement endpoint while the conversation is still in the closed state rather than the acw state. Genesys Cloud returns an HTTP 400 Bad Request with a message indicating the conversation is not currently in ACW. The downstream effect is silent transaction loss where the agent remains stuck in ACW indefinitely because the system does not retry the API call.
To mitigate this, your middleware must maintain a local state cache of active conversations. Query the conversation status via GET /api/v2/conversations/{conversationId} immediately before attempting to end ACW. Only proceed if the status field equals acw.

Implementation Logic:
Develop a retry mechanism with exponential backoff for enforcement failures. If the endpoint returns a 409 Conflict or 503 Service Unavailable, wait 2 seconds before retrying up to three times. If all retries fail, escalate the incident via PagerDuty or similar monitoring tool rather than continuing to poll the API, as this indicates a systemic platform issue or a stuck agent device.

3. Synchronizing Queue-Level Overrides

In many enterprise environments, specific queues require different ACW durations based on regulatory requirements (e.g., Financial Services vs. General Support). The Conversation Settings API allows for overrides that take precedence over the global default.

Architectural Reasoning:
Queue-specific settings are managed via the ConversationSettings object but referenced through the queueId parameter in specific routing configurations or by updating the organization settings to include a map of queue-to-timeout mappings. The API structure supports defining these overrides at the conversation settings level which the routing engine consumes during state transitions.

Configuration Payload:
To apply a specific timeout for a given queue, you must update the conversationSettings object to include a mapping in the queueSettings array if supported by your current platform version, or configure it via the Routing Settings API which references the Conversation Settings ID.

PUT /api/v2/conversationsettings/{conversationSettingsId}/queues
Content-Type: application/json
Authorization: Bearer <access_token>

{
    "queueSettings": [
        {
            "queueId": "string_queue_id",
            "timeoutSeconds": 300,
            "behavior": "TRANSFER_TO_AVAILABLE"
        }
    ]
}

The Trap:
A subtle but critical error occurs when administrators attempt to configure queue-specific ACW timeouts without updating the global defaultAcwTimeoutSeconds first. If the global default is not set, the system may default to a hard-coded value that overrides your queue-specific intent. Always verify that the global setting allows for the existence of overrides before attempting to write queue-specific configurations.

Implementation Logic:
Use the GET /api/v2/conversationsettings/{conversationSettingsId} endpoint to retrieve the full configuration object. Inspect the queueSettings array for existing entries. If an entry for the target queueId exists, update the record in place. If it does not exist, append the new object to the array before submitting the PUT request. This prevents overwriting unrelated queue configurations which could disrupt other contact center lines of business.

Validation, Edge Cases & Troubleshooting

Edge Case 1: Race Condition Between System Timer and API Enforcement

The Failure Condition: An external system sends an acw/end request milliseconds before the system timer expires. The agent receives a state change notification that conflicts with their current UI session.
The Root Cause: Lack of synchronization between the Genesys Cloud internal event loop and the external middleware execution time. Both actions attempt to transition the conversation from ACW to Available simultaneously.
The Solution: Implement a “lock” mechanism in your middleware. When an acw/end request is initiated, set a local flag or Redis key associated with that conversationId. If the system API returns a 409 Conflict indicating a concurrent state change, do not retry immediately. Wait for the next heartbeat from the WebSocket stream confirming the ACW state stability before resuming enforcement logic.

Edge Case 2: OAuth Token Expiration During Active Enforcement

The Failure Condition: The external middleware attempts to enforce an ACW timeout after the OAuth access token has expired (TTL reached).
The Root Cause: Standard OAuth tokens expire after one hour. Long ACW sessions or delayed CRM operations can cause the token to become invalid mid-process.
The Solution: Implement automatic token refresh logic within the middleware before every API call. Do not cache the token for the entire session lifetime without checking expiration timestamps. Use the refresh_token grant type to obtain a new access token if the current one is within 5 minutes of expiration. Ensure the error handling for HTTP 401 Unauthorized triggers an immediate refresh and retry sequence rather than failing the transaction.

Edge Case 3: Network Latency Impact on Timeout Perception

The Failure Condition: Agents report that ACW timeouts feel “longer” or “shorter” than configured values during peak traffic hours.
The Root Cause: High network latency between the agent browser and the Genesys Cloud signaling server can cause a delay in state change propagation. The timer starts on the server, but the UI reflects the status update later.
The Solution: Adjust the defaultAcwTimeoutSeconds value by adding a 10% buffer to account for network jitter. If latency is consistent and high, consider deploying a regional Genesys Cloud instance closer to the agent population or using the WebSocket connection monitoring tools to correlate API call times with UI state updates.

Official References