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AWS Bedrock Invalid Input Data

Input data format does not match expected schema.

Understanding AWS Bedrock

AWS Bedrock is a powerful tool designed to provide foundational models for machine learning applications. It offers a suite of APIs that allow developers to integrate large language models (LLMs) into their applications seamlessly. By leveraging AWS Bedrock, engineers can enhance their applications with advanced natural language processing capabilities.

Identifying the Symptom: Invalid Input Data

When using AWS Bedrock, you might encounter an error related to 'Invalid Input Data.' This issue typically manifests when the input data provided to the API does not conform to the expected format or schema. As a result, the API request fails, and you receive an error message indicating the problem.

Common Error Messages

Some common error messages associated with this issue include:

  • 'Input data format is incorrect.'
  • 'Schema validation failed.'
  • 'Unexpected data type in input.'

Exploring the Root Cause

The root cause of the 'Invalid Input Data' error is often a mismatch between the input data format and the expected schema defined by AWS Bedrock. This can occur due to various reasons, such as:

  • Incorrect data types being used in the input.
  • Missing required fields in the input data.
  • Additional, unexpected fields present in the input.

Schema Mismatch

To ensure smooth operation, it is crucial to understand the schema requirements of the AWS Bedrock API you are using. Refer to the AWS Bedrock Documentation for detailed schema specifications.

Steps to Resolve the Issue

To fix the 'Invalid Input Data' error, follow these steps:

Step 1: Validate Input Data

Before sending a request to AWS Bedrock, validate your input data against the expected schema. You can use JSON schema validation tools to ensure compliance. Here is a simple example using Python:

import jsonschema
from jsonschema import validate

# Define your schema
schema = {
"type": "object",
"properties": {
"field1": {"type": "string"},
"field2": {"type": "number"}
},
"required": ["field1", "field2"]
}

# Example input data
input_data = {
"field1": "example",
"field2": 123
}

# Validate input data
try:
validate(instance=input_data, schema=schema)
print("Input data is valid.")
except jsonschema.exceptions.ValidationError as err:
print("Input data is invalid:", err)

Step 2: Correct Data Types

Ensure that all fields in your input data match the expected data types. Refer to the schema documentation for the correct types.

Step 3: Check for Required Fields

Make sure all required fields are present in your input data. Missing fields can lead to schema validation errors.

Step 4: Remove Unexpected Fields

Remove any fields from your input data that are not defined in the schema. Extra fields can cause validation to fail.

Conclusion

By following these steps, you can resolve the 'Invalid Input Data' error in AWS Bedrock and ensure your application runs smoothly. For more detailed guidance, visit the AWS Bedrock Homepage and explore their comprehensive resources.

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