Your AI agents now know exactly which dependencies to use. See what's new!
Unoplat Code Confluence
Getting Help

Submitting an Error

How to report errors from Unoplat Code Confluence operations

Submitting an Error

Unoplat Code Confluence includes a built-in error reporting system that automatically creates GitHub issues when operations fail. This helps us track and resolve issues quickly while providing you with a way to monitor the progress of your reported errors.

Error Reporting Workflow

Step 1: Navigate to Operations Panel

Go to Workspace > Operations Management in the sidebar to view all your operations.

Operations Management Panel

The Operations Panel displays a table with all your operations including:

  • Repository — The repository being processed
  • Operation — Type of operation (Ingestion, Agents Generation)
  • Job ID — Unique identifier for the operation
  • Status — Current status (Running, Completed, Failed)
  • Started/Completed — Timestamps for the operation

Step 2: Identify the Failed Operation

Look for operations with a Failed status in the table. Click the Actions menu (...) for the failed operation and select View Details.

Step 3: Review Error Details

The error details dialog provides comprehensive information about what went wrong:

Error Details Dialog

The dialog includes:

  • Error Type and Message — High-level description of the error
  • Stack Trace — Technical details showing where the error occurred
  • Metadata — JSON object with additional error context
  • Codebase Errors — Specific errors for each affected codebase

Step 4: Submit Error Report

Click the Submit Error button to open the error submission dialog.

Submit Aggregated Error Report

The Submit Aggregated Error Report dialog allows you to:

  1. Review the pre-populated error report in the Edit tab
  2. Preview the formatted report in the Preview tab
  3. Edit any details before submission if needed
  4. Click Create Issue to automatically create a GitHub issue

What Gets Shared

When you submit an error report, the following information is included:

  • Stack trace — Technical details of where the error occurred
  • Codebase name — The name of the affected codebase
  • Workflow run ID — Identifier for the specific operation run

If there are any details in the error report that you prefer not to share, you can edit them directly in the dialog before clicking Create Issue.

Step 5: Track Your Issue

After submitting the error, you can track your GitHub issue directly from the application.

Track Error Button

Click the Track Error button (with the external link icon) to open the GitHub issue in your browser. This allows you to:

  • Monitor the status of your reported issue
  • Add additional context or comments
  • Receive updates when the issue is addressed

Supported Operations

Error reporting is available for all Unoplat Code Confluence operations:

OperationDescription
IngestionRepository cloning and codebase detection
Agents GenerationAGENTS.md file generation

Need More Help?

If you need immediate assistance or want to discuss an issue with the community, join our Discord Community.

On this page