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Documentation Index

Fetch the complete documentation index at: https://docs.getmuster.io/llms.txt

Use this file to discover all available pages before exploring further.

muster is Elitery’s managed AI operations service. Elitery deploys and operates the platform on your behalf — running discovery scanners, monitoring agent accuracy, tracking costs, and alerting your team when something needs attention. You connect your agents. Elitery does the rest.

Quickstart

Get your first agent monitored in under 5 minutes.

OTel integration

3 env vars — works with any OTel-compatible agent.

Platform connectors

Connect n8n, Flowise, Bedrock, LangChain, and more.

Manual signals

Precise business-rule checks via HTTP POST.

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Why muster?

Most AI deployments in enterprises start the same way: one agent in Finance, another in Legal, a few in Operations. Within months you have dozens — many undiscovered, some with no owner, others running on outdated models. Elitery solves this with muster:
  • Discover — Elitery runs scanners and platform connectors across your environment, surfacing agents your team didn’t declare
  • Assess — every agent is scored for risk automatically — PII exposure, external LLM calls, write access to systems
  • Monitor — Elitery tracks quality signal trends and alerts you when an agent’s pass rate degrades
  • Track — per-agent costs calculated automatically from token counts and connector data, with department budgets and anomaly detection
  • Report — weekly health summaries from Elitery keep your team and leadership informed

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How agent data flows into Muster

OTel and platform connectors cover discovery, cost tracking, and inferred quality signals — Muster’s check inference engine automatically determines relevant checks from each agent’s name and output structure. Zero code required. The SDK adds precise checks on top — for agents where inferred checks aren’t enough. A bank’s invoice processor needs subtotal + tax == total with the actual values, not a pattern match on the field name. The SDK lets your developers write those exact rules. Use it for Financial, Compliance, Legal, and Risk agents. Most customers start with OTel + connectors for full coverage, then add the SDK to their most critical agents. See Integration guide →

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How it works

Your Agents             Integration              muster Dashboard
──────────              ───────────              ────────────────
invoice-agent (Python) → OTel env vars        →  Discovery · Quality · Cost
fraud-agent (LangChain)→ OTel env vars        →  Anomalies · Heatmap
n8n-workflow           → Platform connector   →  Risk · Inventory
custom-agent           → HTTP quality signal  →  Recommendations
The quality checks are worth writing regardless of muster. Any agent in production should validate its own outputs. Muster turns those results into fleet-wide visibility — and Elitery monitors trends, alerts on degradation, and helps your team troubleshoot. See What Elitery does for you → for the full breakdown of responsibilities.

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Dashboard

muster is accessible at app.getmuster.io. The dashboard includes:
PageWhat it showsHow to get there
ExecutiveRisk summary, spend, anomalies, signal coverageHome
InventoryAll agents — add agents manually hereLeft nav
DiscoveryScanner-found agents awaiting reviewLeft nav
Cost DashboardSpend by agent, department, modelLeft nav
Health HeatmapQuality signal pass rates across all agentsLeft nav
SettingsBenchmark sharing, instance configLeft nav