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Claude
ba5ef2ae22
Add two new MCP tools powered by local embeddings (all-MiniLM-L6-v2 via @xenova/transformers): - search_knowledge: Semantic search over 103 analysis rules, gather rules, and IME log patterns. Finds relevant rules by meaning, not exact match. - search_events_semantic: Semantic search over enrollment event messages within a session or across recent failed sessions. Matches symptoms by meaning (e.g. "timeout" finds "connection timed out", "waiting exceeded"). Implementation: - vector-store.ts: In-memory vector store with cosine similarity - knowledge-base.ts: Loads rules from disk, computes embeddings at startup - Embeddings computed locally — no external API key required https://claude.ai/code/session_01TBPsvvMBue9Ft7j3CfD4S2
Autopilot Monitor
Advanced monitoring and troubleshooting solution for Windows Autopilot deployments.
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
MIT License — see LICENSE for details