BossAgents On-Premises Deployment Guide

--- title: "BossAgents On-Premises Deployment Guide (English)" doc_id: "BOSSAGENTS-CORE-E002" version: "1.0" date: "2026-10-14" type: guide tags: [BossAgents, LeftHelpRightArm, PrivateBossAgent, EdgeIndustrialAgent, PrivateDeployment] owner: BossAgents status: active product_line: MTClaw publish: public --- # BossAgents On-Premises Deployment Guide > Step-by-step guide for deploying BossAgents on enterprise hardware: prerequisites, install, model pool initialization, and first-agent smoke test. Designed for a single ops engineer with a 4-hour window. ## 1. Prerequisites | Item | Requirement | |---|---| | OS | Windows Server 2019+ (or Ubuntu 22.04) | | GPU | ≥1× NVIDIA GPU with 24 GB VRAM (Entry tier) | | RAM | 64 GB minimum, 128 GB recommended | | Disk | 500 GB NVMe for models + SQLite data fleet | | Network | Intranet only; outbound access restricted to allow-listed ERP/MES endpoints | | Ports | 3457 (CMS), 11434 (model pool), 114 (PLM) | ## 2. Install 1. Copy the release bundle (Windows: `.7z` archive; Linux: `.tar.gz`) to the target host. 2. Extract and run the installer script: ```bat :: Windows install.bat --tier entry ``` ```bash # Linux ./install.sh --tier standard ``` The installer provisions: runtime dependencies, the model pool service, the CMS service, and the task scheduler. 3. Configure `.env` (database credentials, model pool endpoint, PLM host) — a template ships in `config/env.template`. ## 3. Model Pool Initialization The MTClaw scheduler auto-detects installed models at boot. For a clean Entry-tier install: ```bash # Pull the three default models (quantized, ~20 GB total) mtclaw pull qwen3-8b-int8 mtclaw pull deepseek-r1-14b-int4 mtclaw pull qwen3-vl-7b-int8 # Verify mtclaw list --healthy ``` Expected output: all three models report `ready` with VRAM usage under 90%. ## 4. First-Agent Smoke Test 1. Open the web workbench at `http://:3457`. 2. Navigate to **Tech Docs** (`/tech-docs`) — the document conversion page. 3. Confirm the document list renders (English seed documents should be visible). 4. Convert any document: click **Convert** and verify the resulting article appears in the CMS with a `docs:` traceability marker. 5. Open the Content Workbench and send a test prompt to the **Content digital employee** — expect a structured reply within 10 seconds. If all five checks pass, the deployment is production-ready. ## 5. Verification Checklist - [ ] Model pool: `mtclaw list --healthy` shows all models ready - [ ] CMS: `curl http://:3457/` returns HTTP 200 - [ ] DocWatcher: new `.md` files under `docs/` appear on `/tech-docs` within 5 seconds - [ ] Agent smoke test: Content employee replies correctly - [ ] Egress check: `netstat` shows no connections to non-allow-listed hosts - [ ] Backup: nightly snapshot of the SQLite data fleet configured ## 6. Troubleshooting | Symptom | Likely cause | Fix | |---|---|---| | Model pool fails to start | Insufficient VRAM | Lower quantization tier (`--int4`) or add a GPU | | DocWatcher not updating | File lock / antivirus | Add `docs/` to AV exclusion list | | Agent replies are slow | Model on CPU fallback | Check GPU drivers; verify CUDA/NPU runtime matches | | PLM sync errors | Firewall blocking port 114 | Allow-list the PLM host on the intranet firewall | --- *BossAgents · LeftHelpRightArm — edge-private industrial AI agents. Support: ylxt.chat*
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