[
  {
    "category": "``ivs``",
    "description": "[``botocore``] Add APIs for retrieving stream session information and support for filtering live streams by health.  For more information, see https://docs.aws.amazon.com/ivs/latest/userguide/stream-health.html",
    "type": "api-change"
  },
  {
    "category": "``lambda``",
    "description": "[``botocore``] Added support for CLIENT_CERTIFICATE_TLS_AUTH and SERVER_ROOT_CA_CERTIFICATE as SourceAccessType for MSK and Kafka event source mappings.",
    "type": "api-change"
  },
  {
    "category": "``chime``",
    "description": "[``botocore``] Adds new Transcribe API parameters to StartMeetingTranscription, including support for content identification and redaction (PII & PHI), partial results stabilization, and custom language models.",
    "type": "api-change"
  },
  {
    "category": "``chime-sdk-meetings``",
    "description": "[``botocore``] Adds new Transcribe API parameters to StartMeetingTranscription, including support for content identification and redaction (PII & PHI), partial results stabilization, and custom language models.",
    "type": "api-change"
  },
  {
    "category": "``lexv2-models``",
    "description": "[``botocore``] Update lexv2-models client to latest version",
    "type": "api-change"
  },
  {
    "category": "``cloudwatch``",
    "description": "[``botocore``] Update cloudwatch client to latest version",
    "type": "api-change"
  },
  {
    "category": "``auditmanager``",
    "description": "[``botocore``] This release introduces a new feature for Audit Manager: Dashboard views. You can now view insights data for your active assessments, and quickly identify non-compliant evidence that needs to be remediated.",
    "type": "api-change"
  },
  {
    "category": "``databrew``",
    "description": "[``botocore``] This SDK release adds the following new features: 1) PII detection in profile jobs, 2) Data quality rules, enabling validation of data quality in profile jobs, 3) SQL query-based datasets for Amazon Redshift and Snowflake data sources, and 4) Connecting DataBrew datasets with Amazon AppFlow flows.",
    "type": "api-change"
  },
  {
    "category": "``redshift-data``",
    "description": "[``botocore``] Rolling back Data API serverless features until dependencies are live.",
    "type": "api-change"
  },
  {
    "category": "``kafka``",
    "description": "[``botocore``] Amazon MSK has added a new API that allows you to update the connectivity settings for an existing cluster to enable public accessibility.",
    "type": "api-change"
  },
  {
    "category": "``forecast``",
    "description": "[``botocore``] NEW CreateExplanability API that helps you understand how attributes such as price, promotion, etc. contributes to your forecasted values; NEW CreateAutoPredictor API that trains up to 40% more accurate forecasting model, saves up to 50% of retraining time, and provides model level explainability.",
    "type": "api-change"
  },
  {
    "category": "``appconfig``",
    "description": "[``botocore``] Add Type to support feature flag configuration profiles",
    "type": "api-change"
  }
]