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

Description

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 probe_url 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 probe_url node tool
Connect a parent classifier that calls this workflow via Execute Workflow