Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
AI Agent Code Review for GitHub Pull Requests Description: This n8n workflow automates the process of reviewing code changes in GitHub pull requests using an OpenAI powered agent. It connects your ...
@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.githubtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.github, n8n-nodes-base.googlesheetstool, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jihene.
Original n8n.io sourceAI-Agent Code Review for GitHub Pull Requests
This n8n workflow automates the process of reviewing code changes in GitHub pull requests using an OpenAI-powered agent.
It connects your GitHub repo, extracts modified files, analyzes diffs, and uses an AI agent to generate a code review based on your internal code best practices (fed from a Google Sheet).
It ends by posting the review as a comment on the PR and tagging it with a visual label like β Reviewed by AI.
π§ What It Does
Triggered on PR creation
Extracts code diffs from the PR
Formats and feeds them into an OpenAI prompt
Enriches the prompt using a Google Sheet of Swift best practices
Posts an AI-generated review as a comment on the PR
Applies a PR label to visually mark reviewed PRs
Before deploying this workflow, ensure you have the following:
1. Import the Workflow in n8n, click on Workflows β Import from file or JSON Paste or upload the JSON code of this template
2. Configure Triggers and Connections
Node: Get file's Diffs from PR
No authentication needed; it uses dynamic path from trigger
Node: OpenAI Chat Model
Model: Select gpt-4o, gpt-4-turbo, or gpt-3.5-turbo
Credential: Provide your OpenAI API Key
Node : Code Review Agent Connected to OpenAI and optionally to tools like Google Sheets
Uses GitHub API to post review comments back on PR Node: GitHub Robot Credential: Use the agent Github account (OAuth or PAT) Repo : Pick your owen Github Repository
Adds label ReviewedByAI after successful comment
Node: Add Label to PR Label : you ca customize the label text of your owen tag.
Connects to a Google Sheet for coding guideline lookups, we can replace Google sheet by another tool or data base
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Automated PR code reviews with GitHub, GPT-4, and Google Sheets best practices |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | DevOps, AI Summarization |
| Author | Jihene |
| Published | 30 Apr 2025 |
Use the JSON export at /data/workflows/3804/3804.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
AI Agent Code Review for GitHub Pull Requests Description: This n8n workflow automates the process of reviewing code changes in GitHub pull requests using an OpenAI powered agent. It connects your ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your DevOps, AI Summarization use case.