Oliver Kieselbach
6007b9ecc5
Codex review (P2): ANALYZE-APP-013's `failed_app_name` + `detection_hresult`
optional conditions scanned all app_install_failed events independently of
the required condition. In a session with multiple app failures the
template could interpolate {{appName}} / {{errorCode}} from a different
event than the one that matched `failureType == esp_apps_detection_failure`.
Two coordinated changes:
1. `interpolateRuleTemplate` gains an "auto-field" resolution tier between
the explicit byField path and the bySignal fallback. The backend's
`RuleEngine.AddDataFieldsToEvidence` already injects a whitelist of
identifying fields (appId, appName, errorPatternId, errorCode, exitCode,
status) onto every matched-condition evidence dict — the interpolator
now reads those, pinning to the FIRST matched condition (= the required
condition) so a rule with a single required match resolves all four
tokens against the same source event.
2. ANALYZE-APP-013 is trimmed to a single required condition; the redundant
optional conditions for appName / errorCode are removed because the
auto-field tier already exposes them from the required match. Same
pattern applied to ANALYZE-ENRL-001's `failed_app` condition.
Coverage: 4 new vitest cases (multi-failure correct interpolation, first-
condition-wins shadowing, explicit-field precedence, internal-field leakage
guard). 413/413 web tests.
Co-Authored-By: Claude Opus 4.7 (1M context) <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.
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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.