Automating Incident Triage with the Upstash Workflow Agents API

The blog post describes the creation of an automated incident research agent that leverages the Upstash Workflow Agents API, Grafana, and OpenAI on Next.js to perform the initial triage of alerts. When an alert is triggered, the system automates the traditionally manual process of gathering evidence from Grafana, Humio, and GitHub, allowing engineers to make quicker decisions by automatically posting a root-cause hypothesis with evidence to Slack. This workflow, which is designed to be adaptable to various agentic use cases, involves a three-phase process: collecting evidence, running a researcher agent that iterates through tools until a conclusion is reached, and posting a report to Slack. The Upstash Workflow simplifies orchestration by handling LLM calls and API requests as durable steps, eliminating the need for manual queue management or scheduling, and ensuring reliability through features like automatic retries. The post also highlights potential improvements such as integrating follow-up agents or incorporating human-in-the-loop capabilities for more comprehensive incident handling.