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Audit Log · Commands

Database totals: 266 command entries, 6 conversation messages, 6 scheduled runs, 0 agent interactions. Retention: older than 720h are purged daily.
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2026-07-23 8:00:40 PM Faire scheduled MCP Get Outline: get_collection_structure (collection_id="94051b85-add2-4281-8b1b-4eda03913933") executed - 84 ms

Reason: ok

Output:

{"result":"# Collection Structure\n\n- QEMU Virtual Machines Inventory (ID: 07c29591-f1db-45ae-80a8-9e51c6d567b0)\n- Archive (ID: c9dce2a8-1e18-46f3-a46a-2841adabf1d0)\n  - Decommissioned Containers (ID: 92ec6b75-7d1b-4fa0-b7f8-c7f64af43513)\n    - 121 meshcentral (removed) (ID: 84f2e441-2d3d-4fb6-88e9-2ec8c4c3ceca)\n  - Nginx Reverse Proxy Recipes (ID: cd2da264-9f30-4106-8fee-dbec7d57c8fb)\n    - Wiki (Separate) Nginx Reverse Proxy (ID: aeb249e7-4df9-4f1e-a880-7ebcbb822a7e)\n    - Whisparr Nginx Reverse Proxy (ID: 29e3023c-9ed4-48d9-bd0b-423aa0b22d80)\n    - Web Check Nginx Reverse Proxy (ID: b0fcfa65-2d77-42e1-be96-d27e5457f70e)\n    - Vaultwarden Nginx Reverse Proxy (ID: 329ab10d-f4c8-424b-94ce-8cfe826cd48a)\n    - Uptime Nginx Reverse Proxy (ID: 2daad26b-49e3-49bb-b1f4-b2d0e3c0725c)\n    - Tools Nginx Reverse Proxy (ID: d7516bce-7b7c-4458-b5ae-1839ef90ea62)\n    - The Lounge Nginx Reverse Proxy (ID: a7a61f22-fcdc-4d8e-bc20-ab90f7cfb4b6)\n    - Stats Nginx Reverse Proxy (ID: 37dc01ae-654e-4f75-9938-74859d68a202)\n    - Stash Nginx Reverse Proxy (ID: fca9b366-1285-4cb1-af69-438d632c669d)\n    - Start Nginx Reverse Proxy (ID: 6f0837b3-d249-4ee5-9723-7c2563541df1)\n    - Sonarr Nginx Reverse Proxy (ID: 11f7cf00-091b-4a56-bf16-5016e43edacc)\n    - Snippets Nginx Reverse Proxy (ID: 210f4701-3bbe-4dff-b381-b3a65ef4c28b)\n    - Snipe-IT Nginx Reverse Proxy (ID: 1256a30e-cf2e-4dab-9ef0-54925f2c127e)\n    - Share Files Nginx Reverse Proxy (ID: 24078f36-cf81-4d6d-851d-84ee61be0af1)\n    - RSS Service Nginx Reverse Proxy (ID: 1530285b-8fe3-410d-a804-36385061972d)\n    - Readarr Nginx Reverse Proxy (ID: 53aab566-9384-4ed9-a660-a4360f5463da)\n    - Radarr Nginx Reverse Proxy (ID: dbcc2bee-9b7f-4a06-a85b-55d4e413a611)\n    - Proxmox VE Nginx Reverse Proxy (ID: 6ab5afed-522c-4e82-af70-1a2f00410667)\n    - Prowlarr Nginx Reverse Proxy (ID: 236973a8-3ec2-46ad-87af-5e17e226b9bb)\n    - Portainer Nginx Reverse Proxy (ID: 978ef53c-576f-47d3-a405-d532aef53121)\n    - Plex Nginx Reverse Proxy (ID: c0befdaf-245f-475b-9ed7-913b7f697d27)\n    - Pi-hole 2 Nginx Reverse Proxy (ID: 72cea3a5-bb79-4d5f-b11d-f77fbbee7c7c)\n    - Pi-hole 1 Nginx Reverse Proxy (ID: 0ce9e6da-3dd9-4383-ae1c-071ca11dbcad)\n    - PDF Service Nginx Reverse Proxy (ID: 59984c90-d8dd-43df-aee9-a1ad570b9ffd)\n    - Paperless Nginx Reverse Proxy (ID: e94084a2-1515-4866-8bab-1535f3dd3570)\n    - Overseer Nginx Reverse Proxy (ID: 11c092d2-0cd2-42f7-b3d8-1a6e07d2dc4a)\n    - Outline Nginx Reverse Proxy (ID: 7c86fb07-ddc1-4235-a335-d4b8672aebca)\n    - NZBHydra2 Nginx Reverse Proxy (ID: a922b654-60c4-4522-98bb-5fc1eb9281ca)\n    - NZBGet Nginx Reverse Proxy (ID: c9b13952-7030-4fd3-a455-2c17bcdf28c7)\n    - NMS Nginx Reverse Proxy (ID: 0fdb1cf0-3322-43e9-a00e-1ad1231cbaf1)\n    - Mesh Nginx Reverse Proxy (ID: a75e0d6b-6243-4c25-be26-136a20b87e48)\n    - Map Nginx Reverse Proxy (ID: 0f1997e4-f664-42c4-b0f6-1d707f338169)\n    - Linkstack Nginx Reverse Proxy (ID: e8d3c1ff-8b8d-401c-a8dc-3c04b8a8a1dd)\n    - Lidarr Nginx Reverse Proxy (ID: 5c13d1a7-624d-460b-928a-0e935b087f31)\n    - Jellyseer Nginx Reverse Proxy (ID: 006bcf68-faa0-48d2-81b3-5d8cf1d664b3)\n    - Jellyfin Nginx Reverse Proxy (ID: 7754650e-c093-47eb-beb4-cd53e566ef58)\n    - Homepage Nginx Reverse Proxy (ID: ba893639-dad8-4d5e-bea8-2d9f741c5c13)\n    - Apache Guacamole Nginx Reverse Proxy (ID: f3710dcb-fda5-4d8d-ab43-848664514e0d)\n    - Grocy Nginx Reverse Proxy (ID: d274a8c6-73fb-464c-87c4-cf84c351dee7)\n    - Gotify Nginx Reverse Proxy (ID: 27371542-6bf5-424a-b785-6fed1a379f64)\n    - Docker Swarm Nginx Reverse Proxy (ID: 79f0dcd6-cb92-474e-8419-d5b0eaa35d8d)\n    - Default Homepage Nginx Reverse Proxy (ID: 15d6194e-a1fc-476a-b477-8b5051fe0583)\n    - Catalogue Nginx Reverse Proxy (ID: 37848de4-cca8-4a52-b280-c23984fe1eaa)\n    - Booklore Nginx Reverse Proxy (ID: da3c114d-a0ef-4ff3-925b-8bb3e35acfdc)\n    - Blueprints Not Included Nginx Reverse Proxy (ID: 76555b0f-ac30-49fc-b159-644003858cbc)\n  - FRIDAY Test Document (ID: … [truncated at 4000 chars]
2026-07-23 8:00:33 PM Faire scheduled MCP Get Outline: read_document_section (document_id="686e2703-ba91-4636-981f-12b35f05de76", heading="Proxmox") executed - 109 ms

Reason: ok

Output:

{"result":"# Proxmox\nSection: # Proxmox Settings (lines 0-34 of 35 total)\n\n 0\t# Proxmox Settings\n 1\t\n 2\t> Wiki mirror of `docs\/settings\/proxmox.md` from the SCAIRE repository.\n 3\t\n 4\t## Overview\n 5\t\n 6\tProxmox VE connection settings for container\/VM management.\n 7\t\n 8\t## Settings\n 9\t\n10\t* **Host** — Proxmox API endpoint (hostname or IP)\n11\t* **Port** — API port (default: 8006)\n12\t* **Username** — PVE API user (e.g., `root@pam`)\n13\t* **Token ID \/ Token Secret** — API token authentication\n14\t* **Verify SSL** — Whether to verify the Proxmox SSL certificate\n15\t* **Timeout** — API request timeout\n16\t\n17\t## Authentication\n18\t\n19\tSCAIRE uses Proxmox API tokens for authentication — more secure than passwords and supports scoped permissions.\n20\t\n21\t## Capabilities\n22\t\n23\tThrough the Proxmox API, SCAIRE can:\n24\t\n25\t* List containers and VMs (`pct list`, `qm list`)\n26\t* Check status (`pct status`, `qm status`)\n27\t* Execute commands inside containers (`pct exec`)\n28\t* Restart\/stop\/start containers and VMs\n29\t* Run read-only diagnostics on the host\n30\t\n31\t\n32\t---\n33\t\n34\t> For the full guide, see `docs\/settings\/proxmox.md` in the repository."}
2026-07-23 8:00:29 PM Faire scheduled MCP Get Outline: read_document_section executed - 12 ms

Reason: ok

Output:

MCP tool error: Error executing tool read_document_section: 2 validation errors for read_document_sectionArguments
document_id
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
heading
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
2026-07-23 8:00:24 PM Faire scheduled MCP Get Outline: get_collection_structure (collection_id="64f784d8-2cbe-4f87-a344-bd2bb845c630") executed - 65 ms

Reason: ok

Output:

{"result":"# Collection Structure\n\n- Reverse Proxy (ID: 54769dc8-4518-4dcd-b3bc-fb972c696e13)\n- Scratchpad (ID: e8295f81-99fa-4ef7-9057-cd91338d27a4)\n- Documentation (ID: bb27bbfd-31f7-4f53-b797-0e38b24d0518)\n  - Visual PNG Delivery (ID: 3953f94e-d2f6-4b83-b1a9-e28047e61380)\n  - Logs Viewer (ID: 0e038d26-aa9e-4054-899c-647fb51207d5)\n  - Confirmations (ID: e6abf05f-3b62-47d8-8fe3-862113f9bdd6)\n  - Automated Install (ID: d8edcb61-1131-4e51-a3f6-6c580f8ccdd5)\n  - Context Debug (ID: 0d085336-ff99-4ab1-9481-5775567ba3a6)\n  - Diagnostics (ID: 695b26c7-8bc1-4aa8-84cd-e6edc1d67225)\n  - Confirmations (ID: c7a91d98-0df9-4d16-b102-3caf986f8735)\n  - Capabilities (ID: daeb345e-a433-473b-96ef-dc0044d4b275)\n  - Statistics (ID: b99bacac-b304-4a0d-95d7-7a975a17f21b)\n  - Sub-Agents (ID: 093af247-b38a-46d4-80d7-aacde186d098)\n  - Chat Settings (ID: fbe67302-9f6b-4070-a9eb-d18abeed1b79)\n  - Webhook (ID: f680cb8f-2070-4af1-8c53-06c395e6502b)\n  - Telegram (ID: 30959c7c-d7f7-4fa0-ac57-601055703396)\n  - Scheduling (ID: b01cf7a4-1f8a-41a1-a48b-b6423a6814f7)\n  - Proxmox (ID: 686e2703-ba91-4636-981f-12b35f05de76)\n  - Monitoring (ID: bfa9990d-454a-4220-b4de-b93ec0037afa)\n  - Mail (ID: 81bbfd25-cc66-4fa3-8f63-0d6b2b261f15)\n  - LLM (ID: 9b2cc456-557f-4800-9537-b2b12dc04d65)\n  - Display (ID: 185b3097-87dc-47fe-bf1d-7caee5d7ee51)\n  - Broadcasting (ID: d11a19ff-193f-4824-acaa-9b97777d183b)\n  - Advanced (ID: 17b6da85-ea58-4622-9706-69c31f9a7dc2)\n  - Agents (ID: 1d7c155a-3b4c-4ace-9794-3d42f82116d2)\n  - Settings & Pages Guide (ID: b5c93ba2-9f15-4c96-af85-646123b71646)\n  - Updating (ID: 8a2fb35f-3b22-45bf-b2e6-cd919d021f94)\n  - Troubleshooting (ID: b94ea70d-b8c6-4e46-a20b-98e3ad6381da)\n  - Security Model (ID: 54f75d4c-890e-4101-a8b1-8022bae8fd76)\n  - MCP Servers (ID: d9dd4fab-7d7d-4c5a-a36b-80645046dd8e)\n  - Development Environment (ID: 38a3984e-03d8-4cd1-a29c-3196c409dd6e)\n  - Deployment Guide (ID: d2f1f4f0-cb3f-4fd6-9d7c-ec961e6e95d5)\n- Notes & Recommendations (ID: 8c8f9df0-101b-497a-8415-f13f25f01070)\n- Completed Features (ID: 0d126262-8c2c-4d34-9eee-8c2cc3a56530)\n- Project Status (ID: 7ddbccc3-bd34-437e-865a-9236e4a81bcf)\n  - Changelog (ID: 0444a7a5-d3af-4c95-88a3-6484025ba434)\n- Project Overview (ID: 40a35b70-93a7-4998-bedd-43449a1cdbb1)\n"}
2026-07-23 8:00:16 PM Faire scheduled MCP Get Outline: list_collections executed - 189 ms

Reason: ok

Output:

{"result":"# Collections\n\n## 1. Household\nID: 759b64fe-7e69-4282-88df-af611e2f3815\n\n## 2. S.C.A.I.R.E\nID: 64f784d8-2cbe-4f87-a344-bd2bb845c630\nDescription: S.C.A.I.R.E — System Context Awareness & Intelligent Response Engine. AI-powered incident response for Proxmox VE. Project documentation, status tracking, feature ideas, and codebase reference.\n\n## 3. Certs\nID: 90b6f5f1-7401-4d35-a72e-3199513f7a6b\n\n## 4. Coding Projects\nID: 984e9035-a14a-4831-98b1-7197a030c069\n\n## 5. Linux\nID: 5a3def1b-fdf9-4bf6-be75-6b680d1aab51\n\n## 6. AI\nID: fb4e2df4-44c3-43f7-bc8a-a381490090ed\n\n## 7. Project Ideas\nID: fd6fd76a-8475-4835-94e4-084b001b13e7\n\n## 8. Interesting Data\nID: 0c9313d2-4526-4fca-9e0a-693d97c70f3b\n\n## 9. Creating Video\nID: 9c4c8565-5592-4605-9f07-c51d3c0dcffa\n\n## 10. Reading\nID: 52123b52-279f-4fd0-b617-f6ff35fe11b3\n\n## 11. Writing\nID: ab39c666-5b6b-4428-93c7-cb302c1220d7\n\n## 12. Web Design\nID: 080c49b5-0570-4163-9b2a-55d874a7e8ab\n\n## 13. Homelab\nID: 94051b85-add2-4281-8b1b-4eda03913933\n\n## 14. Video Games\nID: 592fec02-06ed-4ebf-81a7-7e8676e16efe\n\n## 15. Vacation\nID: 68f23234-9489-490f-8ff2-799b34269849\n\n## 16. People\nID: 01208870-1127-48b8-95fe-6e4170bff650\n\n"}
2026-07-23 7:09:58 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Memory Breakdown") executed - 18 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ## Memory Breakdown (lines 27-51 of 196 total)\n\n27\t## Memory Breakdown\n28\t\n29\t| Metric | Value |\n30\t|--------|-------|\n31\t| **Total RAM** | 755 GiB (792,487 MiB) |\n32\t| **Process Memory** | \\~25 GiB |\n33\t| **ZFS ARC Cache** | \\~502 GiB (reclaimable) |\n34\t| **Used** | \\~543 GiB (\\~502 GiB is ZFS ARC cache) |\n35\t| **Available** | \\~213 GiB |\n36\t| **Usage** | \\~72% (\\~66% is reclaimable cache) |\n37\t| **Swap Used** | \\~400 MiB |\n38\t| **Swap Total** | 377 GiB |\n39\t\n40\t### Memory Allocation by Pool\n41\t\n42\t```mermaidjs\n43\tpie title Approximate Memory by Category\n44\t    \"ZFS ARC cache (reclaimable)\" : 502\n45\t    \"Page cache\" : 85\n46\t    \"Process memory\" : 25\n47\t    \"Available\" : 213\n48\t```\n49\t\n50\t> 📊 **Note:** Memory appears high at \\~72% but the bulk (\\~66%) is ZFS ARC cache — reclaimable when applications need it. Real process memory is only \\~25 GiB. The system has healthy headroom.\n51\t"}
2026-07-23 7:09:54 PM Faire scheduled MCP Get Outline: read_document_section executed - 11 ms

Reason: ok

Output:

MCP tool error: Error executing tool read_document_section: 2 validation errors for read_document_sectionArguments
document_id
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
heading
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
2026-07-23 7:09:50 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 250 ms

Reason: ok

Output:

{"result":"Applied 3 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:09:40 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Top Storage Consumers") executed - 18 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ### Top Storage Consumers (lines 81-112 of 196 total)\n\n 81\t### Top Storage Consumers\n 82\t\n 83\t#### rpool (by container)\n 84\t\n 85\t| Container | Alloc | Used | Utilization |\n 86\t|-----------|-------|------|-------------|\n 87\t| 108 caddy | 6G    | 4.0G | **66%** ⚠️  |\n 88\t| 122 homepage | 6G    | 3.7G | 62%         |\n 89\t| 326 paperless-ngx | 10G   | 5.6G | 56%         |\n 90\t| 317 outline | 8G    | 4.2G | 53%         |\n 91\t| 329 bentopdf | 4G    | 2.0G | 50%         |\n 92\t| 333 web-check | 12G   | 5.9G | 49%         |\n 93\t| 331 linkwarden | 12G   | 5.7G | 48%         |\n 94\t| 300 jellyfin | 32G   | 5.3G | 17%         |\n 95\t| 339 zipline | 15G   | 1.4G | 9%          |\n 96\t| 352 qdrant | 32G   | 1.2G | 4%          |\n 97\t\n 98\t> ⚠️ **Caddy at 66%** — the reverse proxy is using 4.0G of its 6G allocation. Watch if logs or certificates grow.\n 99\t>\n100\t> ⏸️ **paperless-ai (327)** is stopped (20G allocated, not consuming disk).\n101\t\n102\t#### rustpool (by container)\n103\t\n104\t| Container | Alloc | Used | Utilization |\n105\t|-----------|-------|------|-------------|\n106\t| 334 uptimekuma | 6G    | 2.7G | **45%**     |\n107\t| 351 ollama | 35G   | 14.0G | 40%         |\n108\t| 420 immich | 100G  | 32.4G | 32%         |\n109\t| 308 sabnzbd | 300G  | 18.7G | 6%          |\n110\t\n111\t⏸️ **Stopped containers** (data preserved, not consuming disk): openwebui (338, 25G), wazuh (410, 32G), grafana (400, 3G), changedetection (460, 10G), prometheus (401, 4G), librenms (107, 30G).\n112\t"}
2026-07-23 7:09:35 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 236 ms

Reason: ok

Output:

{"result":"Applied 8 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:09:23 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Resource Pressure") executed - 20 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ## Resource Pressure Indicators (lines 156-182 of 196 total)\n\n156\t## Resource Pressure Indicators\n157\t\n158\t```mermaidjs\n159\tgraph TB\n160\t    subgraph HEALTHY[\"✅ Healthy (Current State)\"]\n161\t        H1[\"RAM: ~4.6% used — plenty of room\"]\n162\t        H2[\"Swap: 0 MiB used — idle\"]\n163\t        H3[\"CPU: Load ~3.27\/56 threads — very light\"]\n164\t        H4[\"rpool: 26% — plenty of room\"]\n165\t        H5[\"rustpool: 13% — plenty of room\"]\n166\t    end\n167\t\n168\t    subgraph WATCH[\"⚠️ Watch\"]\n169\t        W1[\"Caddy disk: 72%\"]\n170\t        W2[\"data pool: 62% — DEGRADED (disk swap resilvering at 97%)\"]\n171\t        W3[\"BentoPDF disk: 50%\"]\n172\t    end\n173\t\n174\t    subgraph CRITICAL[\"🚨 Active Incident\"]\n175\t        C1[\"data pool DEGRADED — CT4000BX500SSD1 being replaced by TEAM T2534TB. Resilver at 97.3%, ~14 min remaining.\"]\n176\t    end\n177\t\n178\t    style HEALTHY fill:#51cf66,color:#fff\n179\t    style WATCH fill:#ffd43b,color:#000\n180\t    style CRITICAL fill:#ff6b6b,color:#fff\n181\t```\n182\t"}
2026-07-23 7:09:19 PM Faire scheduled MCP Get Outline: read_document_section executed - 12 ms

Reason: ok

Output:

MCP tool error: Error executing tool read_document_section: 2 validation errors for read_document_sectionArguments
document_id
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
heading
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
2026-07-23 7:09:15 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 352 ms

Reason: ok

Output:

{"result":"Applied 3 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:09:06 PM Faire scheduled MCP Get Outline: edit_document executed - 13 ms

Reason: ok

Output:

MCP tool error: Error executing tool edit_document: 2 validation errors for edit_documentArguments
document_id
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
edits
  Field required [type=missing, input_value={}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.12/v/missing
2026-07-23 7:08:56 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="CPU Utilization") executed - 16 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ## CPU Utilization (lines 146-155 of 196 total)\n\n146\t## CPU Utilization\n147\t\n148\t| Metric | Value |\n149\t|--------|-------|\n150\t| **Load Average** | 3.27 (1min) \/ 2.94 (5min) \/ 2.88 (15min) |\n151\t| **Load per Core** | \\~0.058 (well under 1.0) |\n152\t| **Assessment** | Low — plenty of headroom |\n153\t\n154\tWith 56 threads and a load of \\~3.27, CPU utilization is light. AI workloads (Ollama, SCAIRE) are the primary CPU consumers during inference, but the system is well within capacity.\n155\t"}
2026-07-23 7:08:50 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Network Utilization") executed - 16 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ## Network Utilization (lines 122-145 of 196 total)\n\n122\t## Network Utilization\n123\t\n124\t| Interface | Speed | Config |\n125\t|-----------|-------|--------|\n126\t| bond0     | 2x 10GbE (LACP) | 20 Gbps aggregate, layer3+4 hash |\n127\t| vmbr0     | VLAN-aware bridge | Carries VLAN 1 (mgmt) + VLAN 200 (containers) |\n128\t\n129\t```mermaidjs\n130\tgraph LR\n131\t    subgraph TRAFFIC[\"Network Traffic\"]\n132\t        MGMT[\"Management<br>~negligible\"]\n133\t        MEDIA[\"Media streaming<br>Jellyfin\/Plex<br>(up to 1 Gbps)\"]\n134\t        DOWNLOADS[\"NZB downloads<br>(bursts to 500 Mbps)\"]\n135\t        CONTAINERS[\"Inter-container<br>~low\"]\n136\t        TUNNEL[\"Cloudflare tunnel<br>~low (encrypted)\"]\n137\t    end\n138\t\n139\t    MGMT --- TRAFFIC\n140\t    MEDIA --- TRAFFIC\n141\t    DOWNLOADS --- TRAFFIC\n142\t    CONTAINERS --- TRAFFIC\n143\t    TUNNEL --- TRAFFIC\n144\t```\n145\t"}
2026-07-23 7:08:44 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 209 ms

Reason: ok

Output:

{"result":"Applied 1 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:08:35 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 539 ms

Reason: ok

Output:

{"result":"Applied 5 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:08:24 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Scaling Headroom") executed - 16 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ## Scaling Headroom (lines 183-195 of 196 total)\n\n183\t## Scaling Headroom\n184\t\n185\t| Resource | Current | Max | Headroom |\n186\t|----------|---------|-----|----------|\n187\t| RAM      | \\~35G used | 755G | **\\~721G (95%)** |\n188\t| CPU      | Load \\~3.27 | 56 threads | **Massive** |\n189\t| rpool    | 232G used | 888G | 630G (71%) |\n190\t| data     | 8.86T used | 14.4T | 5.54T (38%) ⚠️ DEGRADED |\n191\t| rustpool | 212G used | 1.58T | 1.38T (87%) |\n192\t\n193\t> 💡 **Bottom line:** The Dell R730 with dual Xeons and 755 GiB RAM is **significantly underutilized** with massive headroom. Memory at \\~4.6%, CPU load at \\~3.27\/56 threads — the system is loafing. Storage is healthy across all pools, though the **data pool is DEGRADED** with a nearly-complete resilver from a disk swap.\n194\t\n195\tSee also: [Physical Server Architecture](\/doc\/physical-server-architecture), [Storage Layout](\/doc\/storage-layout), [Disks and Drives](\/doc\/disks-and-drives-wH8GQAnXO0)"}
2026-07-23 7:08:15 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Notes") executed - 17 ms

Reason: ok

Output:

{"result":"No heading matching 'Notes' found.\n\nAvailable headings:\n  # 📊 Resource Usage Overview\n  ## System Resources\n  ## Memory Breakdown\n  ### Memory Allocation by Pool\n  ## Storage Breakdown\n  ### Pool Utilization\n  ### Top Storage Consumers\n  #### rpool (by container)\n  #### rustpool (by container)\n  ### Total Storage Summary\n  ## Network Utilization\n  ## CPU Utilization\n  ## Resource Pressure Indicators\n  ## Scaling Headroom"}
2026-07-23 7:08:10 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 276 ms

Reason: ok

Output:

{"result":"Applied 4 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:08:01 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="Total Storage Summary") executed - 16 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: ### Total Storage Summary (lines 113-121 of 196 total)\n\n113\t### Total Storage Summary\n114\t\n115\t| Pool | Usable | Used | Free | % Used |\n116\t|------|--------|------|------|--------|\n117\t| rpool | 888G   | 232G | 630G | 26%    |\n118\t| data | 14.4T  | 8.86T | 5.54T | 62% ⚠️ |\n119\t| rustpool | 1.58T  | 212G | 1.38T | 13%    |\n120\t| **Total** | **\\~16.8T** | **\\~9.3T** | **\\~7.5T** | **\\~55%** |\n121\t"}
2026-07-23 7:07:56 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 233 ms

Reason: ok

Output:

{"result":"Applied 1 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
2026-07-23 7:07:46 PM Faire scheduled MCP Get Outline: read_document_section (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", heading="rustpool") executed - 15 ms

Reason: ok

Output:

{"result":"# 📊 Resource Usage Overview\nSection: #### rustpool (by container) (lines 102-110 of 194 total)\n\n102\t#### rustpool (by container)\n103\t\n104\t| Container | Alloc | Used | Utilization |\n105\t|-----------|-------|------|-------------|\n106\t| 334 uptimekuma | 6G    | 2.7G | **45%**     |\n107\t| 351 ollama | 35G   | 14.0G | 40%         |\n108\t\n109\t⏸️ **Stopped containers** (data preserved, not consuming disk): openwebui (338, 25G), wazuh (410, 32G), grafana (400, 3G), changedetection (460, 10G), prometheus (401, 4G), librenms (107, 30G).\n110\t"}
2026-07-23 7:07:41 PM Faire scheduled MCP Get Outline: edit_document (document_id="5e78a9b3-8c17-44e1-b838-6c921881ae84", edits=…) executed - 230 ms

Reason: ok

Output:

{"result":"Applied 1 edit(s) to '📊 Resource Usage Overview'. Saved to Outline."}
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