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davidcavazos authored Sep 19, 2023
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* In Python, [RunInference](https://beam.apache.org/documentation/sdks/python-machine-learning/#why-use-the-runinference-api) now supports loading many models in the same transform using a [KeyedModelHandler](https://beam.apache.org/documentation/sdks/python-machine-learning/#use-a-keyed-modelhandler) ([#27628](https://github.com/apache/beam/issues/27628)).
* In Python, the [VertexAIModelHandlerJSON](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.vertex_ai_inference.html#apache_beam.ml.inference.vertex_ai_inference.VertexAIModelHandlerJSON) now supports passing in inference_args. These will be passed through to the Vertex endpoint as parameters.
* Added support to run `mypy` on user pipelines ([#27906](https://github.com/apache/beam/issues/27906))

## Breaking Changes

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* Transform service controller container.
* Spark3 job server container.
* Added support for batched writes to AWS SQS for improved throughput (Java, AWS 2).([#21429](https://github.com/apache/beam/issues/21429))
* Added support to run `mypy` on user pipelines ([#27906](https://github.com/apache/beam/issues/27906))

## Breaking Changes

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