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N/A - This PR adds new tooling for help documentation analysis, not command changes.

Description
This PR introduces a new AI-powered tool for evaluating the quality of Azure CLI help documentation. The tool uses Azure OpenAI to analyze help files and provide detailed quality assessments based on multiple frameworks.

Key Components:

  • help_evaluator.py: Core evaluation class that handles Azure OpenAI integration, prompt management, and analysis generation
  • evaluate-help.py: Command-line interface for running evaluations on single files or entire directories
  • Two evaluation frameworks:
    • Simple Evaluator: Quick quality assessment across 6 dimensions
    • Document Quality Scoring Framework (DQSF): Comprehensive 100-point scoring system aligned with Microsoft Learn standards
  • Automated prompt management from prompts/ directory
  • Markdown analysis reports with original source, extracted content, and dual evaluations

Features:

  • Automatic discovery of *_help.py files in specified directories
  • Progress indicators with animated spinner for long-running operations
  • Token usage tracking for cost monitoring
  • Timestamped analysis reports saved to configurable output directory
  • Environment-based configuration for Azure OpenAI credentials

Testing Guide

  1. Install dependencies:
cd scripts/ai
pip install -r requirements.txt
  1. Configure Azure OpenAI credentials in .env:
cp .env.example .env
# Edit .env with your Azure OpenAI credentials
  1. Evaluate a single help file:
python evaluate-help.py -i ../../src/azure-cli/azure/cli/command_modules/search/_help.py
  1. Evaluate all help files in a module:
python evaluate-help.py -i ../../src/azure-cli/azure/cli/command_modules/storage/
  1. Specify custom output directory:
python evaluate-help.py -i ../../src/azure-cli/azure/cli/command_modules/ -o ./my-analysis
  1. Check the generated analysis reports in scripts/ai/analysis

History Notes
{Scripts} Add AI-powered help documentation quality analysis tool


This checklist is used to make sure that common guidelines for a pull request are followed.

@RenSilvaAU RenSilvaAU self-assigned this Nov 27, 2025
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azure-client-tools-bot-prd bot commented Nov 27, 2025

️✔️AzureCLI-BreakingChangeTest
️✔️Non Breaking Changes

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yonzhan commented Nov 27, 2025

Thank you for your contribution! We will review the pull request and get back to you soon.

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The git hooks are available for azure-cli and azure-cli-extensions repos. They could help you run required checks before creating the PR.

Please sync the latest code with latest dev branch (for azure-cli) or main branch (for azure-cli-extensions).
After that please run the following commands to enable git hooks:

pip install azdev --upgrade
azdev setup -c <your azure-cli repo path> -r <your azure-cli-extensions repo path>

@microsoft-github-policy-service microsoft-github-policy-service bot added the Auto-Assign Auto assign by bot label Nov 27, 2025
@RenSilvaAU RenSilvaAU changed the title Help evaluator prompt and script under ./scripts/ai/evaluate-help.py {Scripts} Add AI-powered help documentation quality analysis tool Dec 2, 2025
self.spinner_thread.join()


def find_help_files(input_path):
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Please use the azdev command to retrieve the detailed help of every commands. The help description in the help.py files are not complete. Especially missing the argument help descriptions.

Comment on lines -4 to +12
"dockerfile": "Dockerfile"
"dockerfile": "Dockerfile",
"context": ".."
},
"features": {
"ghcr.io/devcontainers/features/github-cli:1": {}
},
"workspaceFolder": "/workspaces",
"onCreateCommand": "uv venv .venv --seed",
"postCreateCommand": "REPO_NAME=$(basename $GITHUB_REPOSITORY) && cat $REPO_NAME/.devcontainer/init.sh >> ~/.bashrc && mkdir .vscode && cp $REPO_NAME/.devcontainer/mcp.json .vscode/",
// "workspaceFolder": "/workspaces",
"onCreateCommand": "uv venv .venv --seed --clear",
"postCreateCommand": "cat .devcontainer/init.sh >> ~/.bashrc && mkdir -p .vscode && cp .devcontainer/mcp.json .vscode/",
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CC @necusjz to review this change

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"workspaceFolder": "/workspaces" is by design. although the entry point of codespaces is azure-cli, in practice the abstraction layer sits above that. It is not just about operating on azure-cli repo, but also involves azure-cli-extensions, azure-rest-api-specs, and aaz.

in addition, changes to .devcontainer seem out of the scope of this pull request.

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5 participants