# Troubleshooting guide
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If you encounter errors using SageMaker Clarify online explainability, consult the topics in this section.

**`InvokeEndpoint` API fails with the error "ReadTimeoutError:Read timeout on endpoint..."** 

This error means that the request could not be completed within the 60-second time limit set by the [request timeout](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.html).

To reduce the request latency, try the following:
+ Tune the model's performance during inference. For example, SageMaker AI [Neo](https://aws.amazon.com/sagemaker/neo/) can optimize models for inference.
+ Allow the model container to handle batch requests.
+ Use a larger `MaxRecordCount` to reduce the number of calls from the explainer to the model container. This will reduce network latency and overhead.
+ Use an instance type that has more resources allocated to it. Alternately, assign more instances to the endpoint to help balance the load.
+ Reduce the number of records inside a single `InvokeEndpoint` request.
+ Reduce the number of records in the baseline data.
+ Use a smaller `NumberOfSamples` value to reduce the size of the synthetic dataset. For more information about how the number of samples affects your synthetic dataset, see [Synthetic dataset](clarify-online-explainability-create-endpoint-synthetic.md).