project.json

{
  "name": "Agentic Incident Response Orchestrator",
  "problem": "Production teams need agentic automation without allowing an LLM-style planner to execute unsafe remediation.",
  "domain": "llm-agents",
  "architecture": "agent",
  "hugging_face_tasks": [
    "text-classification",
    "text-generation",
    "summarization",
    "question-answering"
  ],
  "recommended_stack": [
    "FastAPI for incident and approval APIs",
    "LangGraph for durable multi-agent orchestration",
    "PostgreSQL for checkpoints and audit events",
    "Redis for queues, locks, and idempotency",
    "OpenTelemetry plus Prometheus and Grafana",
    "Docker Compose for reproducible service integration"
  ],
  "real_world_data_sources": [
    {
      "name": "GitHub Events API",
      "url": "https://api.github.com/events?per_page=10",
      "purpose": "Real deployment and repository activity events"
    },
    {
      "name": "Hacker News API",
      "url": "https://hacker-news.firebaseio.com/v0/topstories.json",
      "purpose": "Public event-stream input for routing and summarization"
    }
  ],
  "job_description_skills": [
    "Multi-agent planning and tool orchestration",
    "Human-in-the-loop approval and durable execution",
    "Idempotent integrations and failure recovery",
    "Telemetry-driven agent evaluation",
    "Least-privilege production automation"
  ],
  "impact_targets": [
    "Route >= 90% of reviewed incidents to the correct first tool",
    "Block 100% of state-changing actions without approval",
    "Resume interrupted plans without duplicate tool execution",
    "Reduce simulated time-to-triage by >= 40% versus manual routing"
  ],
  "baseline_evaluation": {
    "test_examples": 4,
    "accuracy": 1,
    "synthetic_evaluation": true
  },
  "estimated_delivery": "8-12 weeks for one engineer",
  "generated_baseline_is_production_ready": false
}