Fix Azure ML serverless API request and response formatting in AzureMLOnlineEndpoint to resolve HTTP 400 errors #9234

	---
	name: Integration docs lint

	on:
	push:
	branches: [master]
	pull_request:

	# If another push to the same PR or branch happens while this workflow is still running,
	# cancel the earlier run in favor of the next run.
	#
	# There's no point in testing an outdated version of the code. GitHub only allows
	# a limited number of job runners to be active at the same time, so it's better to cancel
	# pointless jobs early so that more useful jobs can run sooner.
	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: true

	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: '3.10'
	- id: files
	uses: Ana06/[email protected]
	with:
	filter: \|
	*.ipynb
	*.md
	*.mdx
	- name: Check new docs
	run: \|
	python docs/scripts/check_templates.py ${{ steps.files.outputs.added }}

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