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Oliver Kieselbach
63ea2e3cee
The MCP server could answer telemetry questions ("why did this session fail")
but not product ones ("how do I deploy the agent", "where is my data stored").
Those answers already exist in the autopilotmonitor-docs bundle; search_docs
makes them semantically searchable.
Deliberately a separate index from search_knowledge: rules and prose answer
different questions, and sharing one topK would dilute both. Registered for
every role — published documentation carries no tenant data — and skipped
entirely when no corpus was baked in, so a doc-less build advertises no
broken tool.
Corpus handling:
- Chunked at h2/h3 and <details>/<summary>, each chunk prefixed with a
"Page > Section > Subsection" breadcrumb so a mid-page hit is self-describing.
- Newlines are normalized before any parsing. This is a correctness
precondition, not cosmetics: the bundle ships CRLF and JS `.` does not match
\r, so /^(#{2,3})\s+(.*)$/ matched zero headings — silently, degrading every
page to unlabelled paragraph splits.
- Two size exceptions: tables are never split (a split table leaves `| --- |`
rows with no header), and unbroken changelog lists split at line level (left
whole, their tails fall outside the model window and become unsearchable).
- Short sections are kept — a one-line answer is often the best hit, and the
breadcrumb supplies the context a short body lacks.
Build and delivery:
- Docs are embedded at image build time into an optional third
PrecomputedSection. Optional so a checkout without the docs repo does not
invalidate the rules and event-type vectors; the reverse (server has docs,
file does not) is staleness and is rejected.
- The deploy workflow checks the public docs repo into the build context and
passes its SHA as DOCS_COMMIT, which /health reports alongside the chunk
count — editing the docs does not update a running server, so staleness is
made checkable rather than memorable.
- Embeddings are rounded to 6 decimals on serialize: 55% smaller index (2.63
vs 5.88 MB) for a ~1e-5 norm error against a 1e-3 tolerance. indexPrecomputed
now asserts unit norm, since the hydrate path never checked it.
Infra: the Bicep template was two changes behind the live deployment (EU
cutover and ACR hardening, both applied directly in Azure). Reconciled against
the running resources — managed-identity image pull replaces the admin
credentials and the acr-password secret — and infra/ is no longer gitignored so
it stops drifting. Container raised to 0.5 vCPU / 1.0 GiB for the cold-start
query-embedder load. The template does not model the mcp.autopilotmonitor.com
custom domain, so a full deployment would remove it; the header warns about it.
Verified: 428 tests pass; 45 pages produce 324 chunks; sample queries hit the
right page top-1/2; all 8 derived URLs return 200 live; the precompute output
is accepted by the boot validator and a mutated corpus is rejected.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
AutopilotMonitor
Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.
Private Preview
Autopilot Monitor is currently running as a Private Preview. Visit autopilotmonitor.com to request access and learn more.
Overview
Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:
- Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
- Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
- Backend API — Azure Functions-based ingestion and processing pipeline
- Web Dashboard — Next.js application for real-time monitoring and fleet analytics
Architecture
For detailed information about the system architecture, components, and data flow, see Architecture Documentation.
Documentation
Full admin documentation is available at docs.autopilotmonitor.com
License
This project uses a split licensing model:
- MIT License — Agent (
src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices - AGPL-3.0 — Backend (
src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source
See LICENSE for full details.