# HumanLoopActivationConditionsConfig
<a name="API_HumanLoopActivationConditionsConfig"></a>

Defines under what conditions SageMaker creates a human loop. Used within [CreateFlowDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateFlowDefinition.html). See [HumanLoopActivationConditionsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanLoopActivationConditionsConfig.html) for the required format of activation conditions.

## Contents
<a name="API_HumanLoopActivationConditionsConfig_Contents"></a>

 ** HumanLoopActivationConditions **   <a name="sagemaker-Type-HumanLoopActivationConditionsConfig-HumanLoopActivationConditions"></a>
JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see [JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI](https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-human-fallback-conditions-json-schema.html) in the *Amazon SageMaker Developer Guide*.  
Type: String  
Length Constraints: Minimum length of 0. Maximum length of 10240.  
Required: Yes

## See Also
<a name="API_HumanLoopActivationConditionsConfig_SeeAlso"></a>

For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/HumanLoopActivationConditionsConfig) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/HumanLoopActivationConditionsConfig) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-2017-07-24/HumanLoopActivationConditionsConfig)