Add --ai Flag for Smart Error Explanation in Smurf Selm

[anket-cd]

• Adds --ai flag to all Smurf commands (e.g., smurf selm install my-release ./mychart --ai)
• Automatically detects error logs and sends them to the AI engine
• Returns a structured output containing:
  • Root Cause
  • Human-friendly Explanation
  • Step-by-Step Fix

[gemini-code-assist]

Summary of Changes

Hello @anket-cd, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the smurf selm CLI tool by introducing an AI-assisted error explanation feature. Users can now append an --ai flag to many Helm-related commands to receive immediate, intelligent diagnostics and actionable troubleshooting steps directly in their terminal. This aims to streamline the debugging process and improve the overall user experience by providing quick, context-aware solutions for common issues.

Highlights

• AI-Powered Error Explanation: Introduced a new --ai flag across various smurf selm commands to enable AI-driven error analysis and troubleshooting.
• Structured Troubleshooting Output: When the --ai flag is used, the system automatically detects error logs and sends them to an AI engine, which returns a structured output including the root cause, a human-friendly explanation, and step-by-step fixes.
• Broad Command Integration: The --ai flag has been integrated into smurf selm commands such as install, history, lint, list, repo add, repo update, rollback, status, template, uninstall, and upgrade, making AI assistance widely available for Helm operations.
• New AI Module: A new internal ai package has been added to handle OpenAI API interactions, error explanation logic, and formatted output with color-coded sections.

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[gemini-code-assist]

Code Review

This pull request introduces an --ai flag across Smurf commands to provide intelligent error explanations. The implementation adds the necessary command-line flags, integrates with the OpenAI API through a new internal/ai package, and calls this new functionality from various error paths in the Helm-related functions. The changes are a good step towards improving the user experience. My review includes a critical fix for error handling, a correction for an unused parameter, and several suggestions to improve code consistency, robustness, and maintainability.

[sonarqubecloud]

Quality Gate passed

Issues
3 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud

[pendharevaibhav-cd]

LGTM!