Oliver Kieselbach
00f3bf61ef
Real-world test exposed two distinct LLM-context bottlenecks the pagination
rollout alone didn't solve:
1. Anthropic's MCP client truncates tool responses at ~25-30k chars by
default, mid-page; nextLink follows but rows in the truncated middle are
silently lost. pageSize alone can't fix this — even pageSize=50 of full
SessionSummary objects (~1.5KB each) blows the cap.
2. Aggregation queries ("how many V2 enrollments?") shouldn't need 1.5MB of
SessionSummary blobs paginated across 4 round-trips. The LLM only needs a
handful of fields to count.
Three coordinated fixes, all server-driven so customers connecting via MCP
get them automatically without any client config:
* `_meta.anthropic/maxResultSizeChars` annotation on every tool response,
calibrated per response density (sessions=300k, events=250k, rawTable=500k,
small=50k). The Anthropic client respects it and stops mid-page truncation.
New `toolResultText()` helper in shared.ts wraps the pattern.
* `fields=` projection on `search_sessions` and `query_raw_sessions` (server-
side, prunes wire payload 5-20x) and on `query_table` (client-side, since
TableEntity columns are dynamic). Always retains PartitionKey + RowKey for
cursor stability. Tool descriptions now actively recommend it for counting /
aggregation queries.
* `agentVersionPrefix=` / `imeAgentVersionPrefix=` filters on `search_sessions`
and `query_raw_sessions`. Replaces the "one call per build" loop pattern when
the LLM wants a whole version line. Mutually exclusive with the exact-match
variants (exact wins). Fingerprint-bound so a token from "2.0." can't replay
into "2.1.".
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.
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.