Azure ML v2 - environment name

### Operating System

Linux

### Version Information

- azureml-core==1.50.0
- azureml-sdk==1.50.0
- azureml-defaults==1.50.0
- azureml-widgets==1.50.0
- azureml-tensorboard==1.50.0
- azureml-mlflow==1.50.0

### Steps to reproduce

```
$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
type: command

name: Test
version: 1
display_name: Test
description: Test

inputs:
runtime_env:
type: string
default: dev
description: Env to be used (dev/prod)

environment: azureml:${{inputs.runtime_env}}-env@latest
is_deterministic: false

code: ../../..
command: >-
PYTHONPATH=$PYTHONPATH:. ; export PYTHONPATH ;
python ./entrypoint.py
-runtime_env ${{inputs.runtime_env}}
```

### Expected behavior

Use an environment with a name that depends on the value of the parameter `runtime_env` for example `dev-test`

### Actual behavior

The Pipeline is not working, unable to connect to the environment

### Addition information

How do I specify an environment in sdk v2 that uses a [specific]( https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json) schema dependent on a parameter name?

Start with the YAML command-component example in the issue and inspect the linked commandComponent.schema.json schema. Reproduce the pipeline with runtime_env set to dev and determine whether a parameter-dependent environment name is supported; done means the pipeline resolves the requested environment reliably or documents the supported limitation.

Written by the indexing model from the issue text.