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Instrument a webapp to send useful telemetry data to Azure App Insights
Passed 20 of 22 test cases with the skill, and 16 of 22 without it.
and 1 more in the full report
4 fixed16 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
For a C# ASP.NET Core application hosted on Azure App Service as code, should we prefer manual code modifications or auto-instrumentation?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends auto-instrumentation over manual code modification. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill enables sending telemetry data of a webapp to Azure App Insights for better observability of the app's health.
Use this skill when the user wants to enable telemetry for their webapp.
The app in the workspace must be one of these kinds
Find out the (programming language, application framework, hosting) tuple of the application the user is trying to add telemetry support in. This determines how the application can be instrumented. Read the source code to make an educated guess. Confirm with the user on anything you don't know. You must always ask the user where the application is hosted (e.g. on a personal computer, in an Azure App Service as code, in an Azure App Service as container, in an Azure Container App, etc.).
If the app is a C# ASP.NET Core app hosted in Azure App Service, use AUTO guide to help user auto-instrument the app.
Manually instrument the app by creating the AppInsights resource and update the app's code.
Use one of the following options that fits the environment.
No matter which option you choose, recommend the user to create the App Insights resource in a meaningful resource group that makes managing resources easier. A good candidate will be the same resource group that contains the resources for the hosted app in Azure.
test cases passed, vs 16 / 22 without
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