Automatically detect & classify GitHub API errors with GPT-4o to Airtable, Notion & Slack
Automatically detect, classify, and document GitHub API errors using AI. This workflow connects GitHub, OpenAI (GPT-4o), Airtable, Notion, and Slack to build a real-time, searchable API error knowledge base — helping engineering and support teams respond faster, stay aligned, and maintain clean documentation. ⚙️📘💬
🚀 What This Template Does
1️⃣ Triggers on new or updated GitHub issues (API-related). 🪝 2️⃣ Extracts key fields (title, body, repo, and link). 📄 3️⃣ Classifies issues using OpenAI GPT-4o, identifying error type, category, root cause, and severity. 🤖 4️⃣ Validates & parses AI output into structured JSON format. ✅ 5️⃣ Creates or updates organized FAQ-style entries in Airtable for quick lookup. 🗂️ 6️⃣ Logs detailed entries into Notion, maintaining an ongoing issue knowledge base. 📘 7️⃣ Notifies the right Slack team channel (DevOps, Backend, API, Support) with concise summaries. 💬 8️⃣ Tracks & prevents duplicates, keeping your error catalog clean and auditable. 🔄
💡 Key Benefits
✅ Converts unstructured GitHub issues into AI-analyzed documentation ✅ Centralizes API error intelligence across teams ✅ Reduces time-to-resolution for recurring issues ✅ Maintains synchronized records in Airtable & Notion ✅ Keeps DevOps and Support instantly informed through Slack alerts ✅ Fully automated, scalable, and low-cost using GPT-4o
⚙️ Features
- Real-time GitHub trigger for API or backend issues
- GPT-4o-based AI classification (error type, cause, severity, confidence)
- Smart duplicate prevention logic
- Bi-directional sync to Airtable + Notion
- Slack alerts with contextual AI insights
- Modular design — easy to extend with Jira, Teams, or email integrations
🧰 Requirements
- GitHub OAuth2 credentials
- OpenAI API key (GPT-4o recommended)
- Airtable Base & Table IDs (with fields like Error Code, Category, Severity, Root Cause)
- Notion integration with database access
- Slack Bot token with chat:write scope
👥 Target Audience
- Engineering & DevOps teams managing APIs
- Customer support & SRE teams maintaining FAQs
- Product managers tracking recurring API issues
- SaaS orgs automating documentation & error visibility
🪜 Step-by-Step Setup Instructions
1️⃣ Connect your GitHub account and enable the “issues” webhook event. 2️⃣ Add OpenAI credentials (GPT-4o model for classification). 3️⃣ Create an Airtable base with fields: Error Code, Category, Root Cause, Severity, Confidence. 4️⃣ Configure your Notion database with matching schema and access. 5️⃣ Set up Slack credentials and choose your alert channels. 6️⃣ Test with a sample GitHub issue to validate AI classification. 7️⃣ Enable the workflow — enjoy continuous AI-powered issue documentation!
Automatically Detect & Classify GitHub API Errors with GPT-4o to Airtable, Notion & Slack
This n8n workflow automates the process of detecting, classifying, and reporting GitHub API errors. It leverages AI (GPT-4o) to understand error messages and then disseminates this information to various platforms like Airtable, Notion, and Slack for efficient tracking and team communication.
What it does
- Triggers on GitHub Errors: Listens for specific error events from a GitHub repository.
- Extracts Error Information: Captures relevant details about the error from the GitHub payload.
- Classifies with AI: Uses an OpenAI Chat Model (GPT-4o) and a structured output parser to analyze the error message and classify it (e.g., "Authentication Error", "Rate Limit Exceeded", "Invalid Request").
- Routes Based on Classification: Employs a Switch node to direct the workflow based on the AI's classification.
- Records in Airtable: For each error, creates a new record in a specified Airtable base with details like error message, classification, and timestamp.
- Documents in Notion: Adds a new page or item to a Notion database, providing a detailed log of the error, its classification, and any relevant context.
- Notifies via Slack: Posts a summary of the detected error and its classification to a designated Slack channel, alerting the team.
- Handles Workflow Errors: An Error Trigger node is included to catch and potentially report any failures within the n8n workflow itself, ensuring robust operation.
Prerequisites/Requirements
- n8n Instance: A running n8n instance.
- GitHub Account: Configured GitHub credentials in n8n for the GitHub Trigger.
- OpenAI API Key: An OpenAI API key with access to GPT-4o models, configured as an HTTP Request credential or directly in the OpenAI Chat Model node.
- Airtable Account: An Airtable account and API key, with a pre-configured base and table to store error information.
- Notion Account: A Notion integration token and a Notion database to log errors.
- Slack Account: A Slack workspace and a bot token to post messages to a channel.
Setup/Usage
- Import the workflow: Download the JSON and import it into your n8n instance.
- Configure Credentials:
- GitHub Trigger: Set up your GitHub OAuth or Access Token credential. Specify the repository and event types you want to monitor for errors (e.g.,
issues,pull_request,push). - OpenAI Chat Model: Configure your OpenAI API Key credential.
- Airtable: Set up your Airtable API Key credential and specify the Base ID and Table Name where errors should be recorded.
- Notion: Set up your Notion API Key credential and provide the Database ID where error details will be added.
- Slack: Set up your Slack API Token credential and specify the Channel ID where notifications should be sent.
- GitHub Trigger: Set up your GitHub OAuth or Access Token credential. Specify the repository and event types you want to monitor for errors (e.g.,
- Customize AI Agent (Optional): Adjust the prompt in the "AI Agent" and "Structured Output Parser" nodes to refine error classification logic if needed.
- Activate the workflow: Once all credentials and configurations are set, activate the workflow.
The workflow will now automatically monitor your specified GitHub repository for errors, classify them using AI, and distribute the information to your chosen platforms.
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