Investigate CI/CD incidents in Slack with a GPT-5.5 AI agent

Overview It is a sub-workflow that investigates CI/CD failures reported by engineers in Slack. It is invoked by a parent classifier and it runs an autonomous AI Agent that diagnoses the failing pipeline, job, or deployment without making any changes.

Requirements OpenRouter/OpenAI/Anthropic API key — for the chat model . MCP servers (see MCP section) . Slack credentials . attachmentsAnalyzer sub-workflow — must be present in the same n8n instance; analyzes files attached to the originating Mattermost message and returns a textual context. httpProbeTool sub-workflow — provides the probeurl tool that the agent uses to verify reachability of external dependencies; must return structured [Parent workflow]() — a classifier that calls this workflow via Execute Workflow

How it works The workflow is invoked by another workflow via Execute Workflow Trigger Call 'attachmentsAnalyzer' invokes a separate sub-workflow that fetches and analyzes any files the user attached to the originating Slack post The successful branch returns enriched attachment context; the error branch goes through SetVars materializes the runtime configuration The agent is instructed to read the conversation history before pulling logs from anywhere else Post a message sends the final answer back into theoriginal channel

How to use Deploy MCP servers Configure the SetVars node with your environment Edit the AI Agent system prompt to match your organization Import sibling sub-workflows: attachmentsAnalyzer httpProbeTool - for probeurl node tool Connect a [parent classifier]() that calls this workflow via Execute Workflow