Automated API Monitor Restart and Alert System

This workflow automates the monitoring and management of API health, with smart error detection and alerting. It is triggered by an HTTP POST webhook, which could be used by monitoring tools or services. When activated, the workflow processes incoming data by splitting the log content into manageable chunks and generating embeddings using OpenAI models. These embeddings are stored in a Weaviate vector database for quick similarity searches. The workflow then utilizes a retrieval-augmented generation (RAG) agent that combines the stored data with a language model to analyze API status. If an issue is detected, it logs the event into a Google Sheet for record-keeping and sends an alert message via Slack, ensuring quick response to potential API failures. This setup is ideal for maintaining API reliability, proactive troubleshooting, and establishing an automated incident response system in a development or operations environment.