Agent blueprint

How to build a DevOps incident responder

Free blueprint for a DevOps incident responder. A code-first, single-agent, cloud-hosted stack with 16 connected components. Built around Warp, Google Jules, Buddy AI Sandboxes, LangChain. Copy it, export it, or change the answers to fit your project.

Get the code
Your architecture

DevOps & incident agent

A code-first, single-agent, cloud-hosted stack with 16 connected components.

Sign in to save

Architecture map

Tap a component to see its connections

INTERFACE &TRIGGERSORCHESTRATIONREASONINGMEMORY &KNOWLEDGETOOLS &INTEGRATIONSMONITORING &SAFETYCHAT INTERFACEWeb chat widgetEVENT TRIGGERSTrigger.dev webhooksAGENT FRAMEWORKLangChainHUMAN APPROVAL STEPBuilt into yourorchestratorREASONING MODELClaudeCONVERSATION MEMORYBuilt into yourorchestratorDOCUMENT INGESTIONLlamaIndexVECTOR DATABASEPineconeTEAM CHATSlack / MicrosoftTeamsCODE REPOSITORYGitHub / GitLabCODE SANDBOXBuddy AI SandboxesINCIDENT ALERTSPagerDuty / OpsgenieTERMINAL AGENTWarpBACKGROUND FIX AGENTGoogle JulesGUARDRAILSInput & outputchecksTRACING & EVALUATIONLangfuse

Swipe sideways to see the whole map

Tool configuration

Interface & triggers

  • Chat interface

    Where people talk to the agent

    Web chat widget

    or Slack or Teams bot

  • Event triggers

    Starts the agent when something happens in your apps

    Trigger.dev webhooks

    or Make, n8n

Orchestration

  • Agent framework

    Agent loop, tool calling and state in code

    LangChain

    or LlamaIndex, CrewAI

  • Human approval step

    Pauses risky actions until a person approves

    Built into your orchestrator

    or n8n wait node, Slack approval message

Reasoning

  • Reasoning model

    Strong planning and reliable tool use

    Claude

    or ChatGPT / OpenAI, Gemini

Memory & knowledge

  • Conversation memory

    Keeps track of the current chat or task

    Built into your orchestrator
  • Document ingestion

    Splits and indexes your files and pages

    LlamaIndex

    or Firecrawl

  • Vector database

    Finds the most relevant passages for each question

    Pinecone

    or Weaviate, Qdrant

Tools & integrations

  • Team chat

    Posts updates and takes requests

    Slack / Microsoft Teams
  • Code repository

    Reads code and opens pull requests

    GitHub / GitLab
  • Code sandbox

    Runs code safely, away from production

    Buddy AI Sandboxes

    or Replit

  • Incident alerts

    Wakes the agent and on-call people when systems break

    PagerDuty / Opsgenie
  • Terminal agent

    Runs and explains commands step by step

    Warp

    or Gemini CLI

  • Background fix agent

    Opens pull requests for bugs and failing tests

    Google Jules

    or Factory, Devin

Monitoring & safety

  • Guardrails

    Blocks unsafe input, prompt injection and data leaks

    Input & output checks

    or Allow-list of tool actions

  • Tracing & evaluation

    Records every step, cost and answer quality

    Langfuse

    or LangSmith, Weights & Biases

Set up your agent, step by step

Tick each step as you finish it. Your progress is saved with this plan in your AItooling account.

0 of 25 done

AItooling never signs up for you and never asks for your passwords or keys. You create each account yourself on the tool's own website, and only your ticks are saved here.

Sign in and save this plan to keep your progress in your account.

  1. 1Create your accounts

    • Sign up or install it, then make a new project for this agent.

    • Sign up and set up the place where people will talk to the agent.

    • Sign up, create an API key and set a monthly spending limit before anything else.

    • Sign up and create a new database or index just for this agent.

    • Sign up and create a new database or index just for this agent.

    • Use the account you already have, and give the agent its own login with only the access it needs.

    • Use the account you already have, and give the agent its own login with only the access it needs.

    • Sign up and connect only the apps this agent needs, with read-only access where you can.

    • Use the account you already have, and give the agent its own login with only the access it needs.

    • Sign up and connect only the apps this agent needs, with read-only access where you can.

    • Sign up and connect only the apps this agent needs, with read-only access where you can.

    • Sign up and turn on logging so you can review what the agent does.

  2. 2Build it in this order

  3. 3Launch your agent

    • Copy the ready-made code for this agent. It hides secrets and personal data before the AI model sees them.

    • Put each key in a password manager or your hosting's secret settings. Never paste keys or passwords into AItooling or a chat.

    • Start small, read every answer yourself, and only then let other people use it.

Want to go deeper?

Read our step-by-step guides on building agents. Browse guides

More AI agent blueprints