Some products and features are in the process of being renamed. Generative playbook and flow features are also being migrated to a single consolidated console. See the details.
To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a no-match event will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used. You can set a separate classification threshold for the flow in each language enabled for the agent.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-27 UTC."],[[["\u003cp\u003eThis page describes the JSON representation and settings for NLU (Natural Language Understanding) within the context of agent configurations.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003emodelType\u003c/code\u003e field specifies the type of NLU model to use, with options like \u003ccode\u003eMODEL_TYPE_STANDARD\u003c/code\u003e or \u003ccode\u003eMODEL_TYPE_ADVANCED\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eclassificationThreshold\u003c/code\u003e field allows for tuning the sensitivity of the NLU model, where a lower threshold leads to more matches but potentially more false positives, with values ranging from 0.0 to 1.0.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003emodelTrainingMode\u003c/code\u003e field determines how the NLU model is trained, with options like \u003ccode\u003eMODEL_TRAINING_MODE_AUTOMATIC\u003c/code\u003e for automatic training upon flow modifications, or \u003ccode\u003eMODEL_TRAINING_MODE_MANUAL\u003c/code\u003e for manual triggering of training.\u003c/p\u003e\n"]]],[],null,["# NluSettings\n\n- [JSON representation](#SCHEMA_REPRESENTATION)\n- [ModelType](#ModelType)\n- [ModelTrainingMode](#ModelTrainingMode)\n\nSettings related to NLU.\n\nModelType\n---------\n\nNLU model type.\n\nModelTrainingMode\n-----------------\n\nNLU model training mode."]]
