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Code, Git & Developer Tools

Review GitHub Pull Requests with OpenAI, Log to Sheets

When a pull request is opened on GitHub, OpenAI reviews the file diffs against best practices, comments, adds a label and records results in Google Sheets.

What it does

# Code Review workflow ## Overview Automated workflow: Code Review workflow. This workflow integrates 9 different services: stickyNote, httpRequest, code, agent, githubTrigger. It contains 18 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 18 - Node Types: 9 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - OpenAI Chat Model: lmChatOpenAi - PR Trigger: githubTrigger - Get file's Diffs from PR: httpRequest - Create target Prompt from PR Diffs: code - GitHub Robot: github - Add Label to PR: github - Code Best Practices: googleSheetsTool - Sticky Note: stickyNote - Sticky Note1: stickyNote - Sticky Note2: stickyNote - ... and 8 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. OpenAI Chat Model
  2. PR Trigger
  3. Get file's Diffs from PR
  4. Create target Prompt from PR Diffs
  5. GitHub Robot
  6. Add Label to PR
  7. Code Best Practices
  8. Code Review Agent
  9. Error Handler
  10. Error Handler for 62ef8e9f
  11. Error Handler for 25d17a0d
  12. Error Handler for 34d9842f
  13. Error Handler
  14. Error Handler

20 steps in total.

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