* The alternative documentation will also reflect the new query parameter and body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

### 1. Prerequisites

Install MinIO either on Kubernetes or Distributed Linux.

Install MinIO on Kubernetes:

```

When you're writing a Lambda function for use with MinIO, the function is based on event context that MinIO provides to the Lambda function. The event context provides information about the request being made. It contains the parameters with relevant context. The fields used to create the Lambda function are as follows:

The field of `getObjectContext` means the input and output details for connections to MinIO. It has the following fields:

- At the popup window, click `Import Settings from VCS`. Wait a few seconds. 
  - If the error says "Context Parameter 'Branch' missing", it's ok. Click into the error and add a context parameter `Branch` with value `myTestBranch`. Go back and it automatically reloads.
  - If there are any errors, read the error and fix your code.

   While this isn't necessary for running the updater, it is required for
   actually using the new version with Tensorflow.

2) In the `WORKSPACE` file, add the new version to the `python_versions`
   parameter of the `python_register_multi_toolchains` function.

3) In the `BUILD.bazel` file, add a load statement for the new version, e.g.

   ```
      load("@python//3.11:defs.bzl",

### Remotely Inspecting backend data