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Configure Azure Developer Pipeline #1

Configure Azure Developer Pipeline

Configure Azure Developer Pipeline #1

Workflow file for this run

name: AI Evaluation
on:
workflow_dispatch:
push:
# Set up permissions for deploying with secretless Azure federated credentials
# https://learn.microsoft.com/en-us/azure/developer/github/connect-from-azure?tabs=azure-portal%2Clinux#set-up-azure-login-with-openid-connect-authentication
permissions:
id-token: write
contents: read
jobs:
evaluate:
name: Test Variants with AI Evaluators
runs-on: ubuntu-latest
if: ${{ vars.AZURE_AI_SERVICE_ENDPOINT != '' }}
env:
AZURE_CLIENT_ID: ${{ vars.AZURE_CLIENT_ID }}
AZURE_TENANT_ID: ${{ vars.AZURE_TENANT_ID }}
AZURE_SUBSCRIPTION_ID: ${{ vars.AZURE_SUBSCRIPTION_ID }}
AZURE_CREDENTIALS: ${{ secrets.AZURE_CREDENTIALS }}
EVAL_INPUT_FILE_PATH: ${{ github.workspace }}/evaluation-input.jsonl
EVAL_CONFIG_FILE_PATH: ${{ github.workspace }}/evaluate-config.json
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements-dev.txt
- name: Install azd
uses: azure/setup-azd@v2
- name: Log in with Azure (Federated Credentials)
if: ${{ env.AZURE_CLIENT_ID != '' }}
run: |
azd auth login `
--client-id "$Env:AZURE_CLIENT_ID" `
--federated-credential-provider "github" `
--tenant-id "$Env:AZURE_TENANT_ID"
shell: pwsh
- name: Log in with Azure (Client Credentials)
if: ${{ env.AZURE_CREDENTIALS != '' }}
run: |
$info = $Env:AZURE_CREDENTIALS | ConvertFrom-Json -AsHashtable;
Write-Host "::add-mask::$($info.clientSecret)"
azd auth login `
--client-id "$($info.clientId)" `
--client-secret "$($info.clientSecret)" `
--tenant-id "$($info.tenantId)"
shell: pwsh
env:
AZURE_CREDENTIALS: ${{ secrets.AZURE_CREDENTIALS }}
- name: Generate chat responses for AI Evaluation
run: python3 -m pytest -s src/api/test_ai_eval.py::test_generate_ai_eval_input
env:
AZURE_OPENAI_ENDPOINT : ${{ vars.AZURE_AI_SERVICE_ENDPOINT }}
AZURE_OPENAI_CHAT_DEPLOYMENT: ${{ vars.AZURE_AI_DEPLOYMENT_NAME }}
- name: Prepare AI evaluation configuration file
run: |
cat > ${{ env.EVAL_CONFIG_FILE_PATH }}<<EOF
{
"data": "${{ env.EVAL_INPUT_FILE_PATH }}",
"evaluators": {
"coherence": "CoherenceEvaluator",
"fluency": "FluencyEvaluator"
},
"ai_model_configuration": {
"type": "azure_openai",
"azure_endpoint": "${{ vars.AZURE_AI_SERVICE_ENDPOINT }}",
"azure_deployment": "${{ vars.AZURE_AI_DEPLOYMENT_NAME }}",
"api_version": "2024-08-01-preview"
}
}
EOF
- name: Run AI Evaluation
id: run-ai-evaluation
uses: microsoft/genai-evals@main
with:
evaluate-configuration: ${{ env.EVAL_CONFIG_FILE_PATH }}
show-summary: true
show-raw-output: true