This file keeps the longer usage examples out of the main README.
User: @git-ape deploy a Python function app
Agent: I'll help you deploy an Azure Function App through the guided workflow.
Stage 1: Requirements
- Region: East US
- Runtime: Python 3.11
- Plan: Consumption
- Monitoring: Application Insights enabled
Stage 2: Review
- Function App: func-api-dev-eastus
- Storage Account: stfuncapidev8k3m
- App Insights: appi-api-dev-eastus
- Security: HTTPS only, managed identity, TLS 1.2
- Cost estimate: about $0.40/month for a light workload
Agent: Confirm deployment.
User: yes
Stage 3: Deploy
- Resource group created
- Storage account created
- App Insights created
- Function App created
Stage 4: Validate
- Endpoint reachable
- HTTPS enforced
- Monitoring connected
User: @git-ape deploy a web app with SQL database
Agent: I will collect the app, plan, database, and connectivity requirements.
Review summary:
- App Service Plan: asp-webapp-dev-eastus
- Web App: app-webapp-dev-eastus
- SQL Server: sql-webapp-dev-eastus
- SQL Database: sqldb-webapp-dev
- Application Insights: appi-webapp-dev-eastus
Agent: Generated template, security review, and estimated cost.
User: proceed
Result:
- Resources deployed successfully
- Web app reachable
- Database connectivity validated
User: /azure-integration-tester
Agent: Provide the deployment or resource details.
User: Test func-api-dev-eastus in rg-api-dev-eastus
Agent: Running checks...
- HTTPS endpoint accessible
- Response time within threshold
- Application Insights connected
- Managed identity present
1. Configure Azure MCP and sign in with Azure CLI.
2. Ask @git-ape to deploy a resource or stack.
3. Review the generated template, security output, and cost estimate.
4. Confirm deployment.
5. Review the saved artifacts under .azure/deployments/.