Deploy Edmund (the Engineer) #8
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| name: Deploy Edmund Agent | |
| on: | |
| push: | |
| branches: [ main ] | |
| paths: | |
| - 'agents/edmund/**' | |
| pull_request: | |
| branches: [ main ] | |
| paths: | |
| - 'agents/edmund/**' | |
| workflow_dispatch: | |
| env: | |
| AZURE_SUBSCRIPTION_ID: ${{ secrets.AZURE_SUBSCRIPTION_ID }} | |
| AZURE_RESOURCE_GROUP: copilot-edmund | |
| AZURE_LOCATION: eastus | |
| AGENT_NAME: edmund-engineer | |
| AI_FOUNDRY_PROJECT: edmund-tminus15-project | |
| AZURE_OPENAI_ENDPOINT: "https://copilot-edmund.openai.azure.com/" | |
| AZURE_OPENAI_API_VERSION: "2024-12-01-preview" | |
| AZURE_OPENAI_DEPLOYMENT_NAME: "gpt-4o" | |
| jobs: | |
| validate: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.11' | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install jsonschema pyyaml | |
| - name: Validate agent configuration | |
| run: | | |
| python -c " | |
| import json | |
| import yaml | |
| # Validate agent-config.json | |
| with open('agents/edmund/agent-config.json', 'r') as f: | |
| config = json.load(f) | |
| print('✓ agent-config.json is valid JSON') | |
| # Validate deployment.yaml | |
| with open('agents/edmund/deployment.yaml', 'r') as f: | |
| deployment = yaml.safe_load_all(f) | |
| for doc in deployment: | |
| if doc: | |
| print('✓ deployment.yaml document is valid YAML') | |
| # Check required fields | |
| required_fields = ['agent', 'model', 'instructions'] | |
| for field in required_fields: | |
| if field not in config: | |
| raise ValueError(f'Missing required field: {field}') | |
| print('✓ All configuration files are valid') | |
| " | |
| - name: Test configuration syntax | |
| run: | | |
| cd agents/edmund | |
| python -m json.tool agent-config.json > /dev/null | |
| echo "✓ agent-config.json syntax is valid" | |
| deploy-dev: | |
| runs-on: ubuntu-latest | |
| needs: validate | |
| if: github.ref == 'refs/heads/main' | |
| environment: DEMO | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Azure Login | |
| uses: azure/login@v1 | |
| with: | |
| creds: ${{ secrets.AZURE_CREDENTIALS }} | |
| - name: Set up Azure CLI extensions | |
| run: | | |
| az extension add -n ml --yes | |
| az version | |
| - name: Verify Azure subscription and resource group | |
| run: | | |
| echo "Checking Azure subscription..." | |
| az account show --output table | |
| echo "Checking resource group..." | |
| az group show --name $AZURE_RESOURCE_GROUP --output table || { | |
| echo "Creating resource group $AZURE_RESOURCE_GROUP..." | |
| az group create --name $AZURE_RESOURCE_GROUP --location $AZURE_LOCATION | |
| } | |
| - name: Create or update AI Foundry project | |
| run: | | |
| echo "Setting up AI Foundry project..." | |
| # Try cognitive services approach first | |
| if ! az cognitiveservices account show --name $AI_FOUNDRY_PROJECT --resource-group $AZURE_RESOURCE_GROUP >/dev/null 2>&1; then | |
| echo "Creating AI Foundry resource using cognitive services..." | |
| if ! az cognitiveservices account create \ | |
| --name $AI_FOUNDRY_PROJECT \ | |
| --resource-group $AZURE_RESOURCE_GROUP \ | |
| --location $AZURE_LOCATION \ | |
| --kind AIServices \ | |
| --sku S0 \ | |
| --custom-domain $AI_FOUNDRY_PROJECT; then | |
| echo "Cognitive services approach failed, trying ML workspace..." | |
| # Fallback to ML workspace approach | |
| az ml workspace create \ | |
| --name $AI_FOUNDRY_PROJECT \ | |
| --resource-group $AZURE_RESOURCE_GROUP \ | |
| --location $AZURE_LOCATION \ | |
| --display-name "Edmund T-Minus-15 Agent Project" \ | |
| --description "AI Foundry project for Edmund, the Engineering Agent from T-Minus-15 methodology" | |
| fi | |
| else | |
| echo "AI Foundry resource already exists" | |
| fi | |
| - name: Configure AI Foundry connection | |
| run: | | |
| echo "Configuring AI Foundry connection..." | |
| # Try to get endpoint from cognitive services first | |
| AI_FOUNDRY_ENDPOINT=$(az cognitiveservices account show \ | |
| --name $AI_FOUNDRY_PROJECT \ | |
| --resource-group $AZURE_RESOURCE_GROUP \ | |
| --query "properties.endpoint" -o tsv 2>/dev/null || echo "") | |
| if [ -z "$AI_FOUNDRY_ENDPOINT" ]; then | |
| echo "Cognitive services endpoint not found, trying ML workspace..." | |
| # Fallback: construct endpoint from ML workspace | |
| AI_FOUNDRY_ENDPOINT="https://$AI_FOUNDRY_PROJECT.api.azureml.ms" | |
| fi | |
| echo "AI Foundry endpoint: $AI_FOUNDRY_ENDPOINT" | |
| echo "AI_FOUNDRY_ENDPOINT=$AI_FOUNDRY_ENDPOINT" >> $GITHUB_ENV | |
| - name: Deploy Edmund agent to AI Foundry | |
| run: | | |
| cd agents/edmund | |
| echo "Deploying Edmund agent to AI Foundry..." | |
| # Get access token for AI Foundry API | |
| ACCESS_TOKEN=$(az account get-access-token --resource 'https://ai.azure.com' --query accessToken -o tsv) | |
| # Create agent using AI Foundry REST API | |
| INSTRUCTIONS=$(cat agent-config.json | jq -r '.instructions.systemPrompt' | sed 's/"/\\"/g' | tr '\n' ' ') | |
| # Build JSON payload using jq to avoid YAML parsing issues | |
| echo '{}' | jq \ | |
| --arg name "edmund-engineer" \ | |
| --arg desc "AI Engineer specialized in development tasks and T-Minus-15 methodology" \ | |
| --arg instructions "$INSTRUCTIONS" \ | |
| --arg model "$AZURE_OPENAI_DEPLOYMENT_NAME" \ | |
| '.name = $name | .description = $desc | .instructions = $instructions | .model = $model | .tools = [{"type": "code_interpreter"}, {"type": "file_search"}] | .metadata = {"version": "1.0.0", "methodology": "T-Minus-15", "deployment_environment": "production"}' \ | |
| > agent-payload.json | |
| # Deploy agent to AI Foundry | |
| curl -X POST "$AI_FOUNDRY_ENDPOINT/agents" \ | |
| -H "Authorization: Bearer $ACCESS_TOKEN" \ | |
| -H "Content-Type: application/json" \ | |
| -H "api-version: 2025-01-15-preview" \ | |
| -d @agent-payload.json \ | |
| -o deployment-response.json | |
| # Check deployment response | |
| if [ -f deployment-response.json ]; then | |
| echo "Deployment response:" | |
| cat deployment-response.json | |
| # Extract agent ID if successful | |
| AGENT_ID=$(cat deployment-response.json | jq -r '.id' 2>/dev/null || echo "") | |
| if [ "$AGENT_ID" != "" ] && [ "$AGENT_ID" != "null" ]; then | |
| echo "✅ Edmund agent deployed successfully with ID: $AGENT_ID" | |
| echo "AGENT_ID=$AGENT_ID" >> $GITHUB_ENV | |
| else | |
| echo "❌ Agent deployment may have failed" | |
| cat deployment-response.json | |
| fi | |
| else | |
| echo "❌ No deployment response received" | |
| fi | |
| - name: Test deployment | |
| run: | | |
| echo "Testing Edmund agent deployment..." | |
| if [ -z "$AGENT_ID" ]; then | |
| echo "⚠️ No agent ID available, skipping test" | |
| exit 0 | |
| fi | |
| # Get access token for AI Foundry API | |
| ACCESS_TOKEN=$(az account get-access-token --resource 'https://ai.azure.com' --query accessToken -o tsv) | |
| # Create a test thread | |
| THREAD_PAYLOAD='{"metadata": {"test": "true"}}' | |
| curl -X POST "$AI_FOUNDRY_ENDPOINT/threads" \ | |
| -H "Authorization: Bearer $ACCESS_TOKEN" \ | |
| -H "Content-Type: application/json" \ | |
| -H "api-version: 2025-01-15-preview" \ | |
| -d "$THREAD_PAYLOAD" \ | |
| -o thread-response.json | |
| THREAD_ID=$(cat thread-response.json | jq -r '.id' 2>/dev/null || echo "") | |
| if [ "$THREAD_ID" != "" ] && [ "$THREAD_ID" != "null" ]; then | |
| echo "✅ Test thread created: $THREAD_ID" | |
| # Send test message to Edmund | |
| MESSAGE_PAYLOAD='{"role": "user", "content": "Hello Edmund! Can you help me with a quick T-Minus-15 methodology question?"}' | |
| curl -X POST "$AI_FOUNDRY_ENDPOINT/threads/$THREAD_ID/messages" \ | |
| -H "Authorization: Bearer $ACCESS_TOKEN" \ | |
| -H "Content-Type: application/json" \ | |
| -H "api-version: 2025-01-15-preview" \ | |
| -d "$MESSAGE_PAYLOAD" \ | |
| -o message-response.json | |
| echo "✅ Test message sent to Edmund" | |
| echo "📋 Deployment test completed successfully" | |
| else | |
| echo "⚠️ Could not create test thread, but agent deployment appears successful" | |
| fi | |
| - name: Verify agent deployment | |
| run: | | |
| echo "Verifying Edmund agent deployment..." | |
| if [ -n "$AGENT_ID" ]; then | |
| # Get access token for AI Foundry API | |
| ACCESS_TOKEN=$(az account get-access-token --resource 'https://ai.azure.com' --query accessToken -o tsv) | |
| # Get agent details | |
| curl -X GET "$AI_FOUNDRY_ENDPOINT/agents/$AGENT_ID" \ | |
| -H "Authorization: Bearer $ACCESS_TOKEN" \ | |
| -H "api-version: 2025-01-15-preview" \ | |
| -o agent-details.json | |
| echo "✅ Edmund agent details:" | |
| cat agent-details.json | jq . | |
| else | |
| echo "⚠️ No agent ID available for verification" | |
| fi | |
| - name: Output deployment information | |
| run: | | |
| echo "=== Edmund Deployment Summary ===" | |
| echo "Agent Name: $AGENT_NAME" | |
| echo "Resource Group: $AZURE_RESOURCE_GROUP" | |
| echo "AI Foundry Project: $AI_FOUNDRY_PROJECT" | |
| echo "Location: $AZURE_LOCATION" | |
| echo "AI Foundry Endpoint: $AI_FOUNDRY_ENDPOINT" | |
| echo "Azure OpenAI Endpoint: ${{ env.AZURE_OPENAI_ENDPOINT }}" | |
| echo "Model: ${{ env.AZURE_OPENAI_DEPLOYMENT_NAME }}" | |
| if [ -n "$AGENT_ID" ]; then | |
| echo "Agent ID: $AGENT_ID" | |
| echo "✅ Edmund successfully deployed to Azure AI Foundry!" | |
| else | |
| echo "⚠️ Agent deployment status unclear" | |
| fi | |
| echo "=== Deployment Complete ===" | |