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Customupdated Jun 8, 2025 · saas · technical-support

Autonomous Incident Manager for Site Reliability Engineering

An autonomous agent that detects production errors in real time, investigates root causes using AI, generates code patches, and calls on-call engineers via voice to request approval for deployment. Compresses traditional incident response from hours to under 30 seconds.

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The numbers

latency3s detection, 15s analysis

cost / min—

frameworkCustom

The stack

telephonyTwilio Voice

speech-to-textDeepgram Nova-3

llmGemini 2.5 Flash

text-to-speechElevenLabs Flash v2.5

System prompt

No prompt published.

Config

config.json

{
  "tools": [
    {
      "name": "analyze_error",
      "description": "Accepts error payload and begins async AI analysis with Gemini"
    },
    {
      "name": "generate_patch",
      "description": "Generates git-style code patch based on root cause analysis"
    },
    {
      "name": "voice_notification",
      "description": "Initiates voice call to on-call engineer via Bland AI with incident summary"
    },
    {
      "name": "deploy_approval",
      "description": "Tracks engineer approval state for automated deployment"
    }
  ],
  "auth": "Auth0",
  "observability": "Overmind tracer",
  "incident_store": "Aerospike",
  "llm_temperature": null,
  "polling_interval_ms": 3000
}

Tools

analyze_errorAccepts error payload and begins async AI analysis with Gemini
generate_patchGenerates git-style code patch based on root cause analysis
voice_notificationInitiates voice call to on-call engineer via Bland AI with incident summary
deploy_approvalTracks engineer approval state for automated deployment

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