Looking for advice on programmatically updating NLU intent confidence thresholds for a specific language model within a Premium AppFoundry integration. The POST /api/v2/analytics/bots/nlu/models/{modelId}/train endpoint returns a 422 Unprocessable Entity error with the message ‘Invalid confidence threshold value’ when attempting to set the threshold to 0.85. The integration is a Premium AppFoundry solution deployed across multiple Genesys Cloud organizations, utilizing multi-org OAuth for authentication. The error occurs consistently when the threshold value is set between 0.80 and 0.90, but works correctly for values below 0.80 or above 0.90. The request payload includes the model ID, language code, and the new threshold value, formatted according to the API documentation. The OAuth token is valid and has the necessary scopes (analytics:view, analytics:write, bots:nlu:write). The issue persists across different organizations and models, suggesting it is not specific to a particular environment. The integration uses the Genesys Cloud Platform API v2, and the SDK version is 2023.10.0. The error response includes a detailed error object with the field ‘confidenceThreshold’ marked as invalid. The integration is designed to allow customers to customize their bot’s NLU behavior through a self-service portal, and this issue is blocking the deployment of the feature. The logs show that the request is reaching the Genesys Cloud servers, but the validation logic is rejecting the threshold value. The API documentation does not mention any restrictions on the threshold values, other than they must be between 0.0 and 1.0. The issue is urgent as it is impacting the release schedule of the Premium App. The integration team has verified that the payload is correctly formatted and that the OAuth token has the necessary permissions. The error occurs immediately upon sending the request, indicating that the validation is happening on the server side. The integration team has also tried using the Genesys Cloud UI to set the threshold, but the same error occurs when the value is between 0.80 and 0.90. The issue is not related to the SDK or the integration code, as the error is returned by the Genesys Cloud servers. The integration team has contacted Genesys Cloud Support, but the issue has not been resolved yet. The integration team is looking for a workaround or a fix for this issue. The integration team is also looking for advice on how to handle this error in the integration code. The integration team is also looking for advice on how to test the integration without triggering this error. The integration team is also looking for advice on how to communicate this issue to the customers. The integration team is also looking for advice on how to prioritize this issue in the release schedule. 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