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Azure Monitor Ingestion SDK for Python.
Passed 22 of 23 test cases with the skill, and 14 of 23 without it.
and 12 more in the full report
9 fixed13 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
What are the standard environment variable names recommended for storing the Azure Data Collection Endpoint URL, Data Collection Rule immutable ID, and target DCR stream name in Python applications?
| Checked | Without skill | With skill |
|---|---|---|
| The endpoint URL environment variable is named AZURE_DCE_ENDPOINT. | Missed | Passed |
| The rule ID environment variable is named AZURE_DCR_RULE_ID. | Missed | Passed |
| The stream name environment variable is named AZURE_DCR_STREAM_NAME. | Missed | Passed |
The instructions your model reads when the skill loads.
Send custom logs to Azure Monitor Log Analytics workspace using the Logs Ingestion API.
pip install azure-monitor-ingestion
pip install azure-identity
# Data Collection Endpoint (DCE)
AZURE_DCE_ENDPOINT=https://<dce-name>.<region>.ingest.monitor.azure.com # Required for all auth methods
# Data Collection Rule (DCR) immutable ID
AZURE_DCR_RULE_ID=dcr-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx # Required for all auth methods
# Stream name from DCR
AZURE_DCR_STREAM_NAME=Custom-MyTable_CL # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Before using this SDK, you need:
🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
- Local dev:
DefaultAzureCredentialworks as-is.
test cases passed, vs 14 / 23 without
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