Implement LLMResult generate(Prompt... prompts) for Azure OpenAI #5

	name: CI/CD build

	on:
	push:
	branches: [ "main" ]

	jobs:
	build:
	name: Build branch
	runs-on: ubuntu-latest
	steps:
	- name: Checkout source code
	uses: actions/checkout@v3

	- name: Set up JDK 17
	uses: actions/setup-java@v3
	with:
	java-version: '17'
	distribution: 'temurin'
	cache: 'maven'

	- name: Build with Maven and deploy to Artifactory
	env:
	ARTIFACTORY_USERNAME: ${{ secrets.ARTIFACTORY_USERNAME }}
	ARTIFACTORY_PASSWORD: ${{ secrets.ARTIFACTORY_PASSWORD }}
	run: mvn -s settings.xml --batch-mode --update-snapshots deploy

	- name: Generate Java docs
	run: mvn javadoc:aggregate

	- name: Generate Reference docs
	working-directory: spring-ai-docs
	run: mvn site

	- name: Capture project version
	run: echo PROJECT_VERSION=$(mvn help:evaluate -Dexpression=project.version --quiet -DforceStdout) >> $GITHUB_ENV

	- name: Setup SSH key
	env:
	DOCS_SSH_KEY: ${{ secrets.DOCS_SSH_KEY }}
	DOCS_SSH_HOST_KEY: ${{ secrets.DOCS_SSH_HOST_KEY }}
	run: \|
	mkdir "$HOME/.ssh"
	echo "$DOCS_SSH_KEY" > "$HOME/.ssh/key"
	chmod 600 "$HOME/.ssh/key"
	echo "$DOCS_SSH_HOST_KEY" > "$HOME/.ssh/known_hosts"

	- name: Deploy docs
	env:
	DOCS_HOST: ${{ secrets.DOCS_HOST }}
	DOCS_PATH: ${{ secrets.DOCS_PATH }}
	DOCS_USERNAME: ${{ secrets.DOCS_USERNAME }}
	working-directory: spring-ai-docs
	run: \|
	cd target && unzip spring-ai-$PROJECT_VERSION-docs.zip
	scp -i $HOME/.ssh/key -r api $DOCS_USERNAME@$DOCS_HOST:$DOCS_PATH/$PROJECT_VERSION
	scp -i $HOME/.ssh/key -r reference $DOCS_USERNAME@$DOCS_HOST:$DOCS_PATH/$PROJECT_VERSION

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