Oliver Kieselbach
f4df9de2b9
H2: search_events caller keywords are now lowercased and MERGED with auto-extraction via resolveQueryKeywords() — previously `??` replaced extraction entirely and case-sensitive keywords like ["BitLocker"] silently returned zero results. H3: the ~23 MB MiniLM model is pre-baked at Docker build time (warmup via the built provider keeps the model name single-sourced) into HF_CACHE_DIR=/app/.hf-cache and copied into the final stage, so a scale-to-zero cold start never depends on the HuggingFace CDN; boot indexing falls back to the fuse backend with a loud log instead of crash-looping on init failure. M8: new SearchProvider.semanticCapable flag (vector=true, fuse=false); selectEventTypeCandidates gates the semantic path on it so inverted Fuse scores no longer flow through cosine-calibrated thresholds, and the search_events response now reports the real searchBackend (keyword-only vs hybrid) plus the provider name. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Autopilot Monitor
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 documentation is available at autopilotmonitor.com/docs
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.