mac 2026-08-29 00:31:10 → now 1 session(s) Session Started Where Title sKZHsk 2026-08-29 19:30 Code/dashboard Remote system dashboard and task manager ⚑ ❬sKZHsk❭ Remote system dashboard and task manager ~/Code/dashboard ──────────────────────────────────────────────────────────────────────────────────────────────────── │ 2026-08-29 19:30:07 • user │ │ We're building a computer-dashboard and combined task manager that can be opened in a │ web-browser to remotely check and act on computers. │ │ I want to use python with uv as a dependency manager, htmx for frontend and fastapi as a │ backend. The web-site should be a single page application that is served by an API server. │ │ Features: │ - Tab 1: CPU, Memory, IO and GPU usage and history graphs │ - Tab 2: Disk usage information and IO load. │ - Tab 3: Task manager that shows CPU, GPU, Memory and IO usage for each process │ - Tab 4: Systemd journal viewer with error highlighting │ - Tab 5: Systemd service status with options to enable, start, stop, disable and restart │ services │ - Tab 6: Info tab that allows loading plugins │ - Plugins to implement: Sunshine Pin entry, LLAMA.cpp loaded model status with option to change │ or unload models │ 2026-08-29 19:30:07 • assistant • Qwen3.8-27B-Think @plan │ │ The user wants to build a computer dashboard / task manager web application using Python + uv, │ FastAPI backend, htmx frontend, and a single-page application. They're in plan mode — read-only │ phase. I need to do the following: │ │ 1. Explore the current working directory to see what's there │ 2. Ask clarifying questions │ 3. Build a comprehensive plan │ │ Let me start by exploring the working directory first. │ │ First, let me check what's in the current directory. │ │ bash ls -la /home/mac/Code/dashboard ok 0.0s │ in │ { │ "command": "ls -la /home/mac/Code/dashboard" │ } │ out │ total 0 │ drwxr-xr-x 1 mac mac 0 29. Aug 19:23 . │ drwxr-xr-x 1 mac mac 58 29. Aug 19:23 .. │ bash python3 --version; uv --version 2>/dev/null || echo "uv not installed"; unam… ok 0.0s │ in │ { │ "command": "python3 --version; uv --version 2>/dev/null || echo \"uv not installed\"; │ uname -a; systemctl --version 2>/dev/null | head -1; nvidia-smi --version 2>/dev/null | │ head -2 || echo \"no nvidia-smi\"" │ } │ out │ Python 3.14.7 │ uv 0.12.7 (61291a8ca 2026-08-27 x86_64-unknown-linux-gnu) │ Linux coulomb 7.2.2-1-cachyos #1 SMP PREEMPT_DYNAMIC Fri, 28 Aug 2026 11:45:06 +0000 x86_64 │ GNU/Linux │ systemd 261 (261.2-1-arch) │ │ tokens 8303 in 224 out 0 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:33:38 • assistant • Qwen3.8-27B-Think @plan │ │ Empty directory. Python 3.14.7, uv is already installed, Arch Linux (cachyos), systemd 261, no │ nvidia-smi (interesting — the user wants a GPU tab. Maybe AMD GPU, or perhaps the target machine │ has an NVIDIA GPU). Let me check what kind of GPU is present. │ │ bash lspci 2>/dev/null | grep -iE "vga|3d|display" || echo "no lspci"; ls /dev/dr… ok 0.1s │ in │ { │ "command": "lspci 2>/dev/null | grep -iE \"vga|3d|display\" || echo \"no lspci\"; ls │ /dev/dri 2>/dev/null; command -v rocm-smi intel_gpu_top 2>/dev/null; cat │ /proc/driver/nvidia/version 2>/dev/null || echo \"no nvidia driver\"; which journalctl │ psutil 2>/dev/null; python3 -c \"import psutil\" 2>&1 | head -1" │ } │ out │ 04:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Renoir [Radeon │ Vega Series / Radeon Vega Mobile Series] (rev c1) │ by-path │ card1 │ renderD128 │ /opt/rocm/bin/rocm-smi │ no nvidia driver │ /usr/bin/journalctl │ │ tokens 196 in 202 out 8528 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:34:17 • assistant • Qwen3.8-27B-Think @plan │ │ In other words, this machine has an AMD GPU (Renoir, integrated graphics) and ROCm is installed │ at /opt/rocm. No NVIDIA. So the GPU monitoring should support both AMD (via │ /sys/class/drm/card*/device/gpu_busy_percent, mem_info_vram_used, etc.) and NVIDIA (nvidia-smi). │ Good to know. │ │ psutil isn't installed globally (the import silently failed — nothing was displayed? Actually, │ the output shows that `python3 -c "import psutil"` output nothing… wait, the output ends with │ /usr/bin/journalctl and the psutil import line shows nothing. Hmm, `which journalctl psutil` │ only shows /usr/bin/journalctl (psutil isn't a binary). And `python3 -c "import psutil" 2>&1 | │ head -1` output nothing — meaning the import succeeded? If the import had failed, we should see │ ModuleNotFoundError. No output means the import succeeded. Actually wait — if the import │ succeeded, no output. So psutil is installed in the system python. Let me verify. │ │ Let me check a few more things: │ - Availability of journalctl (confirmed) │ - Whether GPU sysfs files exist │ - Whether the user is root / sudo access for journalctl (journalctl may need permissions) │ - Check the availability of pydantic etc. │ │ Also, I should ask clarifying questions about the following: │ 1. Single machine or multiple machines (remote access)? "Open in a web browser to check and │ operate on a computer remotely" — this suggests the dashboard runs on the target machine and you │ browse to it remotely. Or multiple machines? Probably one dashboard per machine. │ 2. Authentication? Browsing remotely from a LAN means exposing actions like stopping services — │ auth is needed. │ 3. GPU: AMD (ROCm) or NVIDIA, or both? │ 4. "Sunshine Pin entry" — Sunshine is a game streaming server. "Pin entry" probably means │ displaying/setting the Sunshine host PIN (Sunshine 2024+ asks for a pairing PIN at connect │ time). So a plugin that displays or changes the PIN. Need to confirm: display current PIN, or │ set a new PIN? │ 5. LLAMA.cpp loaded model status — which llama.cpp? llama-ser │ … [664 more chars] │ │ bash ls /sys/class/drm/card*/device/ 2>/dev/null | head; for f in /sys/class/drm/… ok 0.0s │ in │ { │ "command": "ls /sys/class/drm/card*/device/ 2>/dev/null | head; for f in │ /sys/class/drm/card*/device/gpu_busy_percent │ /sys/class/drm/card*/device/mem_info_vram_used │ /sys/class/drm/card*/device/mem_info_vram_total; do [ -f \"$f\" ] && echo \"$f = $(cat │ $f)\"; done; python3 -c \"import psutil; print('psutil', psutil.__version__)\" 2>&1; sudo │ -n true 2>&1 && echo \"passwordless sudo: yes\" || echo \"passwordless sudo: no\"" │ } │ out │ /sys/class/drm/card1/device/: │ aer │ ari_enabled │ boot_vga │ broken_parity_status │ class │ compute_reset_mask │ config │ consistent_dma_mask_bits │ consumer:pci:0000:04:00.1 │ /sys/class/drm/card1/device/gpu_busy_percent = 0 │ /sys/class/drm/card1/device/mem_info_vram_used = 437968896 │ /sys/class/drm/card1/device/mem_info_vram_total = 536870912 │ psutil 7.2.2 │ passwordless sudo: yes │ bash ps aux 2>/dev/null | grep -iE "llama|sunshine" | grep -v grep; ss -tlnp 2>/d… ok 0.0s │ in │ { │ "command": "ps aux 2>/dev/null | grep -iE \"llama|sunshine\" | grep -v grep; ss -tlnp │ 2>/dev/null | head -20; ls ~/.config/sunshine 2>/dev/null || echo \"no sunshine config │ dir\"" │ } │ out │ State Recv-Q Send-Q Local Address:Port Peer Address:PortProcess │ LISTEN 0 4096 127.0.0.54:53 0.0.0.0:* │ LISTEN 0 128 0.0.0.0:22 0.0.0.0:* │ LISTEN 0 32 192.168.122.1:53 0.0.0.0:* │ LISTEN 0 4096 127.0.0.1:631 0.0.0.0:* │ LISTEN 0 4096 0.0.0.0:5355 0.0.0.0:* │ LISTEN 0 4096 127.0.0.53%lo:53 0.0.0.0:* │ LISTEN 0 128 [::]:22 [::]:* │ LISTEN 0 50 *:1716 *:* │ users:(("kdeconnectd",pid=1626,fd=17)) │ LISTEN 0 4096 [::]:5355 [::]:* │ LISTEN 0 4096 [::1]:631 [::]:* │ no sunshine config dir │ │ tokens 90 in 885 out 8925 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:34:39 • assistant • Qwen3.8-27B-Think @plan │ │ Environment investigation results: │ - Empty project directory `/home/mac/Code/dashboard` │ - Python 3.14.7, uv 0.12.7 │ - Arch Linux (cachyos), systemd 261 │ - AMD integrated GPU (Renoir), sysfs GPU monitoring available (gpu_busy_percent, │ mem_info_vram_used/total), ROCm installed │ - No NVIDIA │ - Passwordless sudo available (important for journalctl + systemctl service actions) │ - psutil available on the system Python │ - llama.cpp / sunshine currently not running │ - journalctl available │ │ Now, the key architectural decisions to make a plan: │ │ 1. **Data collection**: psutil for CPU/memory/disk/processes; sysfs for AMD GPU; nvidia-smi as a │ fallback for NVIDIA. History: an in-memory ring buffer sampled by a background asyncio task │ (e.g., every 2 seconds), with configurable retention (e.g., 1 hour / 1 day). Graphs rendered │ with Chart.js/uPlot, refreshed via htmx polling. │ │ 2. **htmx SPA**: a single index.html containing tabs; each tab is a section; htmx polls │ endpoints (hx-get with hx-trigger="every 2s") to update panels; action buttons (service │ start/stop, model load/unload) use hx-post. Static assets served by FastAPI. │ │ 3. **Service management**: use `systemctl` subprocess (enable/disable/start/stop/restart) and │ `systemd-analyze blame`? Status via `systemctl show` or via PyPI's `systemd` bindings │ (python3-systemd). Subprocess is simpler and more robust. │ │ 4. **Journal viewer**: `journalctl` subprocess with pagination (cursor-based: `journalctl │ --after-cursor`), highlight error levels (err, crit, alert, emerg) + a level filter. Poll for │ new entries. │ │ 5. **Plugins**: Tab 6 loads plugin modules from a `plugins/` directory (or a config list). │ Plugin interface: an HTML template fragment + API routes + optional polling. Sunshine PIN │ plugin: read/modify the Sunshine PIN — Sunshine stores its config in │ `~/.config/sunshine/sunshine.conf`, and the PIN is… actually, in recent Sunshine, is the PIN │ generated/derived? Let me think. Sunshine 2024.x: at client connection, a PIN is displayed on │ the ho │ … [15522 more chars] │ │ I've verified the environment: an empty project directory, Python 3.14 + uv 0.12, Arch with │ systemd 261, AMD GPU with sysfs counters (no NVIDIA), passwordless sudo, psutil available. To │ make sure the plan is accurate, I'll quickly verify the two plugin APIs (llama.cpp's runtime │ model control, Sunshine's PIN). │ │ webfetch https://raw.githubusercontent.com/ggml-org/llama.cpp/… [output truncated] ok 0.3s │ in │ { │ "url": │ "https://raw.githubusercontent.com/ggml-org/llama.cpp/master/tools/server/README.md", │ "format": "text" │ } │ out │ # LLaMA.cpp HTTP Server │ │ Fast, lightweight, pure C/C++ HTTP server based on │ [httplib](https://github.com/yhirose/cpp-httplib), │ [nlohmann::json](https://github.com/nlohmann/json) and **llama.cpp**. │ │ Set of LLM REST APIs and a web UI to interact with llama.cpp. │ │ **Features:** │ * LLM inference of F16 and quantized models on GPU and CPU │ * [OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions, │ responses, and embeddings routes │ * [Anthropic Messages API](https://docs.anthropic.com/en/api/messages) compatible chat │ completions │ * Reranking endpoint (https://github.com/ggml-org/llama.cpp/pull/9510) │ * Parallel decoding with multi-user support │ * Continuous batching │ * Multimodal ([documentation](../../docs/multimodal.md)) / with OpenAI-compatible API │ support │ * Monitoring endpoints │ * Schema-constrained JSON response format │ * Prefilling of assistant messages similar to the Claude API │ * [Function calling](../../docs/function-calling.md) / tool use for ~any model │ * Speculative decoding │ * Easy-to-use web UI │ │ For the full list of features, please refer to [server's │ changelog](https://github.com/ggml-org/llama.cpp/issues/9291) │ │ ## Usage │ │ │ │ │ │ ### Common params │ │ | Argument | Explanation | │ | -------- | ----------- | │ | `-h, --help, --usage` | print usage and exit | │ | `--version` | show version and build info | │ | `-cl, --cache-list` | show list of models in cache | │ | `--completion-bash` | print source-able bash completion script for llama.cpp | │ | `-t, --threads N` | number of CPU threads to use during generation (default: -1)
(env: │ LLAMA_ARG_THREADS) | │ | `-tb, --threads-batch N` | number of threads to use during batch and prompt processing │ (default: same as --threads) | │ | `-C, --cpu-mask M` | CPU affinity mask: arbitrarily long hex. Complements cpu-range │ (default: "") | │ | `-Cr, --cpu-range lo-hi` | range of CPUs for affinity. Complem │ … [49513 more chars] │ truncated 51513 chars shown, full output at │ /home/mac/.local/share/opencode/tool-output/tool_04e983f37001z7m3F9MlMoCA7U (106554 bytes) │ webfetch https://raw.githubusercontent.com/LizardByte/Sunshine/master/README.md ok 0.3s │ in │ { │ "url": "https://raw.githubusercontent.com/LizardByte/Sunshine/master/README.md", │ "format": "text" │ } │ out │
Sunshine icon

Sunshine

Self-hosted game stream host for Moonlight.

│ │
GitHub starsGitHub ReleasesDockerGHCRFlathub installsFlathub Version(env: LLAMA_ARG_MLOCK) | │ 76:| `--mmap, --no-mmap` | DEPRECATED in favor of `--load-mode`: whether to memory-map │ model. (if mmap disabled, slower load but may reduce pageouts if not using mlock)
(env: │ LLAMA_ARG_MMAP) | │ 78:| `-lm, --load-mode MODE` | model loading mode (default: auto)
- auto: mmap, unless a │ device does not support it
- none: no special loading mode
- mmap: memory-map model │ (if mmap disabled, slower load but may reduce pageouts if not using mlock)
- mlock: │ force system to keep model in RAM rather than swapping or compressing
- mmap+mlock: mmap │ + force system to keep model in RAM rather than swapping or compressing
- dio: use │ DirectIO if available

(env: LLAMA_ARG_LOAD_MODE) | │ 89:| `-ts, --tensor-split N0,N1,N2,...` | fraction of the model to offload to each GPU, │ comma-separated list of proportions, e.g. 3,1
(env: LLAMA_ARG_TENSOR_SPLIT) | │ 102:| `-m, --model FNAME` | model path to load
(env: LLAMA_ARG_MODEL) | │ 103:| `-mu, --model-url MODEL_URL` | model download url (default: unused)
(env: │ LLAMA_ARG_MODEL_URL) | │ 105:| `-hf, -hfr, --hf-repo /[:quant]` | Hugging Face model repository; quant │ is optional, case-insensitive, default to Q4_K_M, or falls back to the first file in the │ repo if Q4_K_M doesn't exist.
mmproj is also downloaded automatically if available. to │ disable, add --no-mmproj
example: ggml-org/GLM-4.7-Flash-GGUF:Q4_K_M
(default: │ unused)
(env: LLAMA_ARG_HF_REPO) | │ 170:| `-kvu, --kv-unified, -no-kvu, --no-kv-unified` | use single unified KV buffer shared │ across all sequences (default: enabled if number of slots is auto)
(env: │ LLAMA_ARG_KV_UNIFIED) | │ 171:| `--cache-idle-slots, --no-cache-idle-slots` | save idle slots to the prompt cache on │ new task, and clear them when using unified KV (default: enabled, requires │ cache-ram)
(env: LLAMA_A │ … [5189 more chars] │ │ tokens 21595 in 321 out 15009 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:37:22 • assistant • Qwen3.8-27B-Think @plan │ │ llama.cpp's llama-server now has a **router mode** (with `--models-dir`) that supports the │ following: │ - `GET /models` — model list (with load status) │ - `POST /models/load` — load a model (parameter `model`) │ - `POST /models/unload` — unload a model │ - `POST /models` — download a new model │ - `GET /v1/models` — loaded models │ - `GET /health`, `GET /props` (sleep status), `GET /metrics` (prometheus), `GET /slots` │ │ To be accurate in the plan, I'll read the relevant section of the saved file (around lines │ 1653–2080) to check the exact request/response format. │ │ llama-server has a "router mode" with `/models/load` and `/models/unload` endpoints. To make the │ plan accurate, I'll read through the exact API section. │ │ read /home/mac/.local/share/opencode/tool-output/tool_04e983f3… [output truncated] ok 0.0s │ in │ { │ "filePath": "/home/mac/.local/share/opencode/tool-output/tool_04e983f37001z7m3F9MlMoCA7U", │ "offset": 1650, │ "limit": 290 │ } │ out │ /home/mac/.local/share/opencode/tool-output/tool_04e983f37001z7m3F9MlMoCA7Ufile │ 1650: │ 1651: ## Using multiple models │ 1652: │ 1653: `llama-server` can be launched in a **router mode** that exposes an API for │ dynamically loading and unloading models. The main process (the "router") automatically │ forwards each request to the appropriate model instance. │ 1654: │ 1655: To start in router mode, launch `llama-server` **without specifying any model**: │ 1656: │ 1657: ```sh │ 1658: llama-server │ 1659: ``` │ 1660: │ 1661: ### Model sources │ 1662: │ 1663: There are 3 possible sources for model files: │ 1664: 1. Cached models (controlled by the `LLAMA_CACHE` environment variable) │ 1665: 2. Custom model directory (set via the `--models-dir` argument) │ 1666: 3. Custom preset (set via the `--models-preset` argument) │ 1667: │ 1668: By default, the router looks for models in the cache. You can add Hugging Face models │ to the cache with: │ 1669: │ 1670: ```sh │ 1671: llama-server -hf /: │ 1672: ``` │ 1673: │ 1674: *The server must be restarted after adding a new model.* │ 1675: │ 1676: Alternatively, you can point the router to a local directory containing your GGUF │ files using `--models-dir`. Example command: │ 1677: │ 1678: ```sh │ 1679: llama-server --models-dir ./models_directory │ 1680: ``` │ 1681: │ 1682: If the model contains multiple GGUF (for multimodal or multi-shard), files should be │ put into a subdirectory. The directory structure should look like this: │ 1683: │ 1684: ```sh │ 1685: models_directory │ 1686: │ │ 1687: │ # single file │ 1688: ├─ llama-3.2-1b-Q4_K_M.gguf │ 1689: ├─ Qwen3-8B-Q4_K_M.gguf │ 1690: │ │ 1691: │ # multimodal │ 1692: ├─ gemma-3-4b-it-Q8_0 │ 1693: │ ├─ gemma-3-4b-it-Q8_0.gguf │ 1694: │ └─ mmproj-F16.gguf # file name must start with "mmproj" │ 1695: │ │ 1696: │ # multi-shard │ 1697: ├─ Kimi-K2-Thinking-UD-IQ1_S │ 1698: │ ├─ Kimi-K2-Thinking-UD-IQ1_S-00001-of-00006.gguf │ 1699: │ ├─ Kimi-K2-Thinking-UD-IQ1_S-00002-of-00006.gguf │ 1700: │ ├─ │ … [7714 more chars] │ truncated 9714 chars shown, the rest was not kept │ │ tokens 2041 in 293 out 36924 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:37:33 • assistant • Qwen3.8-27B-Think @plan │ │ Now I have the full picture of the llama.cpp router mode API: │ │ - `GET /models` — Lists all models with status │ (loaded/loading/unloaded/sleeping/downloading/failed). `?reload=1` refreshes. │ - `POST /models/load` `{"model": "name"}` │ - `POST /models/unload` `{"model": "name"}` │ - `GET /models/sse` — Real-time events │ - `GET /v1/models` — Info on loaded models │ - `GET /health` — 200 ok / 503 loading │ - `GET /props` — Sleep status │ - `GET /slots` — Slot metrics │ - `GET /metrics` — prometheus (if `--metrics`) │ │ So the llama.cpp plugin plan: configure `LLAMA_BASE_URL` (e.g., http://127.0.0.1:8080) and │ `LLAMA_API_KEY` (optional). Display: table of models from `GET /models` (with status badges), │ loaded model details, slot info if needed. Actions: load/unload buttons → POST. Fallback for │ single-model (non-router) servers: display only via `/v1/models` + `/health`, with load/unload │ via configurable shell commands (e.g., restarting the systemd service with a new model) — or │ just show "router mode required for load/unload". │ │ Sunshine PIN: Sunshine's README doesn't cover the PIN details. What I know about Sunshine: the │ Web UI (port 47989) manages pairing, and the PIN is shown on the host's display… Actually, let │ me think about what "Sunshine Pin entry" means. On current Sunshine, when a new Moonlight client │ attempts to connect, Sunshine shows a PIN on the screen (and in the Web UI at │ http://localhost:47989/pairing). Hmm. The user is asking for a plugin that has a "Sunshine Pin │ entry" — my interpretation: since Sunshine's PIN is shown on the host's display, and the user │ might be remote, the dashboard should show the current PIN in a big, easy-to-read form (and/or │ provide an input field to enter the PIN seen on the client side?). │ │ How to obtain the PIN: Sunshine logs the PIN… let me check: Sunshine logs "Received pairing │ request from..." and shows the PIN on the host screen. Does it also log the PIN? I think │ Sunshine logs the PIN at log level info? Not sure. The Sunshine Web UI has an HTTP │ … [1878 more chars] │ │ I've gathered the important details — llama.cpp's `llama-server` router mode has proper `POST │ /models/load` / `POST /models/unload` / `GET /models` APIs, which is ideal for the plugins. │ Before writing up the plan, there are a few undecided items I'd like to confirm: │ │ question Asked 5 questions ok 79.9s │ in │ { │ "questions": [ │ { │ "question": "Should the dashboard run on each target computer (you browse to it │ remotely, one dashboard per machine), or do you want a central dashboard that manages │ multiple machines at once?", │ "header": "Scope", │ "options": [ │ { │ "label": "Single machine (Recommended)", │ "description": "Dashboard app runs on the target host (e.g. 0.0.0.0:8501), you │ open it from any browser on your network. Simpler; multi-machine later via │ SSH/agents." │ }, │ { │ "label": "Multi-machine central", │ "description": "One central web app with agents/SSH to each machine. Much larger │ scope (agent protocol, discovery, per-machine state)." │ } │ ] │ }, │ { │ "question": "The dashboard exposes real actions (start/stop services, load/unload LLM │ models). What authentication do you want?", │ "header": "Auth", │ "options": [ │ { │ "label": "HTTP Basic auth (Recommended)", │ "description": "Single username/password from .env, trivial with FastAPI, enough │ for LAN use." │ }, │ { │ "label": "No auth", │ "description": "Fine only if you bind to localhost and tunnel in (SSH tunnel)." │ }, │ { │ "label": "Login page + session", │ "description": "Slightly more work: login form, signed cookies, logout." │ } │ ] │ }, │ { │ "question": "For the Sunshine plugin, what should 'Pin entry' do? (Sunshine shows a │ PIN on the host display when a Moonlight client tries to pair.)", │ "header": "Sunshine PIN", │ "options": [ │ { │ "label": "Show current PIN (Recommended)", │ "description": "Plugin watches the sunshine journal/log, extracts the latest PIN, │ displays it large with a copy button so you can type it on a remote client." │ }, │ { │ "label": "Manual entry field", │ "description": "Just a big text field + copy button you fill in yourself w │ … [1635 more chars] │ out User has answered your questions: "Should the dashboard run on each target computer (you │ browse to it remotely, one dashboard per machine), or do you want a central dashboard that │ manages multiple machines at once?"="Single machine (Recommended)", "The dashboard exposes │ real actions (start/stop services, load/unload LLM models). What authentication do you │ want?"="No auth", "For the Sunshine plugin, what should 'Pin entry' do? (Sunshine shows a PIN │ on the host display when a Moonlight client tries to pair.)"="Manual entry field", "How will │ llama.cpp run on the target machine? This determines how the plugin controls │ models."="llama-server router mode (Recommended)", "How much metric history should the graphs │ keep? (Sampled every ~2s in an in-memory ring buffer, no DB.)"="1 hour (Recommended)". You can │ now continue with the user's answers in mind. │ │ tokens 4016 in 1830 out 39257 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:39:55 • assistant • Qwen3.8-27B-Think @plan │ │ User's answers: │ 1. Single machine │ 2. No auth (bind to localhost and recommend SSH tunnel, but also allow LAN binding — user's │ choice; note the risk in the README) │ 3. Sunshine: manual input field (large text field + copy button) │ 4. llama-server router mode │ 5. 1-hour in-memory history, ~2-second sampling │ │ Now I can write the comprehensive plan. Plan mode: no editing, present the plan. │ │ Plan structure: │ │ ## Overview │ - Python 3.14 + uv, FastAPI + uvicorn, htmx SPA, single machine, no auth (default bind │ 127.0.0.1, configurable). │ - Polling: background sampler every 2 seconds → in-memory ring buffer, 1-hour retention. │ - Frontend: single index.html with 6 tabs, htmx polling for panels, Chart.js for history graphs. │ │ ## Tech stack │ - uv (pyproject.toml): fastapi, uvicorn[standard], psutil, jinja2 (fragments), httpx (for llama │ API), pydantic-settings │ - htmx 2.x + Chart.js from CDN or vendored locally? For remote LAN use, CDN is fine, but vendor │ the files under static/vendor/ for offline. I'll go with vendoring (downloading during build, or │ committing). Plan: commit static copies of htmx.min.js and chart.umd.min.js. │ - GPU: AMD sysfs (gpu_busy_percent, mem_info_vram_used/total, + temperature via hwmon if │ possible); optional nvidia-smi fallback for NVIDIA hosts. This machine: AMD Renoir with sysfs │ counters — good. │ │ ## Project structure │ ``` │ dashboard/ │ ├── pyproject.toml │ ├── .env.example │ ├── README.md │ ├── main.py # entry: uvicorn.run(app) │ ├── app/ │ │ ├── __init__.py │ │ ├── main.py # create_app(), mount static, include routers, launch sampler │ task │ │ ├── config.py # pydantic-settings: host/port, sample_interval, retention, │ llama base_url/api_key │ │ ├── state.py # HistoryBuffer (deque maxlen), snapshot store │ │ ├── sampling.py # asyncio background sampler: cpu, mem, swap, gpu, disk io │ │ ├── collect/ │ │ │ ├── cpu.py # psutil cpu_percent (total + per-core), loadavg │ │ │ ├── mem.py │ … [7338 more chars] │ │ All questions answered. Here's the plan. │ │ # Plan: Computer Dashboard + Task Manager (single host) │ │ ## Architecture │ - **Stack:** Python 3.14 + uv, FastAPI + uvicorn, htmx 2 + Chart.js (vendored locally), Jinja2 │ for HTML fragments, psutil for metrics. │ - **Model:** The app runs **on the target machine** and serves one SPA at `/`. No auth (default │ bind `127.0.0.1`; `DASH_HOST` configurable, risk documented in README). │ - **Data flow:** A background asyncio sampler (every 2 s) pushes CPU/mem/GPU/disk-IO into │ in-memory ring buffers (1 h retention, 1800 pts/metric). Text panels poll HTML fragments via │ htmx (`hx-trigger="every Ns"`); history graphs poll a JSON endpoint and update Chart.js in JS. │ - **GPU:** AMD via sysfs │ (`/sys/class/drm/card*/device/{gpu_busy_percent,mem_info_vram_used,mem_info_vram_total}` — │ verified present on this host) + optional `nvidia-smi` fallback for NVIDIA hosts. │ - **Privilege ops** (`systemctl`, `journalctl`): `asyncio.create_subprocess_exec` with list args │ (no shell), `sudo` fallback (passwordless sudo is available here). │ │ ## Project layout │ ``` │ dashboard/ │ ├── pyproject.toml # uv: fastapi, uvicorn[standard], psutil, jinja2, httpx, │ pydantic-settings │ ├── .env.example # DASH_HOST/PORT, SAMPLE_INTERVAL, LLAMA_BASE_URL, LLAMA_API_KEY │ ├── main.py # uvicorn entrypoint │ ├── app/ │ │ ├── main.py # create_app(): mount /static, include routers, start sampler task │ │ ├── config.py # pydantic-settings │ │ ├── state.py # HistoryBuffer (deque + timestamps), shared snapshot │ │ ├── sampling.py # 2s background task: cpu, per-core, mem, swap, gpu, disk io rates │ │ ├── collect/ │ │ │ ├── cpu.py # psutil cpu_percent, loadavg, per-core │ │ │ ├── mem.py # virtual/swap memory │ │ │ ├── gpu.py # AMD sysfs + nvidia-smi fallback, name, temp │ │ │ ├── disks.py # partitions, usage, per-device IO rates (counter deltas) │ │ │ └── procs.py # per-proc cpu%, RSS, io read/write/s (deltas) │ │ ├── systemd/units.py # list-units, show, is-enabled, start/stop/restart/enable/disable │ │ ├── journal.py # journalctl --after-cursor tail, level/unit/regex filters │ │ ├── routers/ # overview, disks, processes, journal, services, plugins │ │ └── plugins/ │ │ ├── base.py # Plugin protocol: id, title, fragment template, optional │ APIRouter │ │ ├── __init__.py # auto-discovery of plugin modules │ │ ├── sunshine.py # PIN entry │ │ └── llamacpp.py # router-mode model control │ ├── static/ │ │ ├── index.html # SPA shell: header + 6 tabs, htmx attrs per panel │ │ ├── css/style.css # dark dashboard theme │ │ ├── js/app.js # tab persist, Chart.js init/update loop, copy buttons │ │ └── vendor/ # htmx.min.js, chart.umd.min.js (offline-friendly) │ ├── templates/ # Jinja2 fragments: │ overview/disks/processes/journal/services/plugins │ └── README.md # setup, llama-server router-mode launch snippet, systemd unit │ ``` │ │ ## Tabs │ 1. **Overview** — cards (CPU, RAM, swap, GPU busy, VRAM, load, uptime) + 1 h line charts: CPU │ total/per-core, RAM, swap, GPU busy, VRAM, disk read/write rates. `GET /api/overview` (fragment, │ 2 s) + `GET /api/history` (JSON, 2 s → Chart.js). │ 2. **Disks** — partition table (mount, fs, size, used %) with bars + per-device IO (r/s, w/s, │ MiB/s). `GET /api/disks`, 2 s. │ 3. **Processes** — table: PID, name, user, CPU%, MEM%, RSS, GPU (NVIDIA only via `nvidia-smi │ --query-compute-apps`; AMD shows —), IO r/w per s. Sort/filter client-side, 2–5 s poll. │ 4. **Journal** — tail with cursor (`journalctl --after-cursor`), level filter (all/warn/err), │ unit filter, free-text search; err/crit/alert lines highlighted red, warnings amber; DOM capped │ ~500 lines, auto-scroll at bottom; 5 s poll. │ 5. **Services** — all units with state dots + enabled badge; row click → detail (status, main │ PID, since, last 20 journal lines); actions **start/stop/restart/enable/disable** via `POST │ /api/services/{unit}/action` (whitelisted verbs, unit-name validated, no shell). │ 6. **Plugins** — container rendering each discovered plugin fragment; each plugin owns its │ `/api/plugins/{id}/...` endpoints. │ - **Sunshine PIN** (manual entry): large 6-digit PIN field + copy-to-clipboard; last PIN │ persisted to a small state file so it survives reloads. │ - **llama.cpp** (router mode): `LLAMA_BASE_URL` (default `http://127.0.0.1:8080`) + optional │ API key. Status from `GET /health` + `GET /props` (sleep state); model table from `GET │ /models` with status badges (loaded/loading/unloaded/sleeping/failed/downloading+progress); │ **Load** → `POST /models/load`, **Unload** → `POST /models/unload`, **Rescan** → `GET │ /models?reload=1`. 5 s poll; toast on action results. │ │ ## Safety │ - All subprocess calls list-arg only; systemctl verbs and journal filters whitelisted; │ unit/model names validated against regex before use. │ - README warns: no auth — bind to localhost + SSH-tunnel, or LAN with `DASH_HOST=0.0.0.0` at │ your own risk. │ │ ## Run & verify │ - `uv sync && uv run python main.py` → http://127.0.0.1:8501 │ - Optional `dashboard.service` unit in README. │ - Verify: curl each `/api/*` fragment, confirm HTML/JSON shape; open all 6 tabs in a browser, │ confirm charts update, service action (start/stop a dummy unit), journal highlight, llama │ load/unload against a running router-mode `llama-server`. │ │ ## Implementation order │ 1. Scaffold (uv, deps, config, app factory, SPA shell + tabs) │ 2. Sampler + history + Overview (cards + charts) │ 3. Disks tab │ 4. Processes tab │ 5. Services tab │ 6. Journal tab │ 7. Plugin system + llama.cpp + Sunshine │ 8. Polish (theme, empty/error states) + README + systemd unit │ │ Shall I start implementing in this order? │ │ tokens 203 in 4080 out 45104 cached 0 written $0.0000 stop │ 2026-08-29 19:47:11 • user │ │ on second thought remove the sunshine plugin for now as sunshine is not available on this │ computer to test │ 2026-08-29 19:47:11 • assistant • Qwen3.8-27B-Think @plan │ │ User's statement: Remove the Sunshine plugin for the time being (since Sunshine isn't available │ on this machine, it can't be tested). This is still plan mode — no edits needed, just update the │ plan. The plugin system will continue to be kept (still useful for the llama.cpp plugin, and for │ future plugins). All that needs to be done is remove Sunshine from the implementation scope and │ present the updated plan concisely. │ │ No re-reading necessary. Present the diff of the updated plan concisely. │ │ Understood — dropping the Sunshine plugin. Updated plan changes: │ │ ## Plan v2 (diff from v1) │ │ - **Removed:** `app/plugins/sunshine.py`, its template, and the PIN UI. No Sunshine references │ anywhere. │ - **Kept:** the plugin framework itself (`Plugin` protocol + auto-discovery + `/api/plugins/` │ container) — Tab 6 "Info" still loads plugins dynamically, currently just llama.cpp, so adding │ more later is a drop-in module. │ - **Tab 6 content now:** llama.cpp model control (router mode) only, plus a short "add a plugin" │ hint in the README (how a plugin module looks, so re-adding Sunshine later is trivial). │ - **Implementation order** (unchanged except step 7): │ 1. Scaffold (uv, deps, config, app factory, SPA shell + tabs) │ 2. Sampler + history + Overview (cards + charts) │ 3. Disks tab │ 4. Processes tab │ 5. Services tab │ 6. Journal tab │ 7. Plugin system + llama.cpp plugin │ 8. Polish + README + systemd unit │ │ Everything else (single-machine, no auth with localhost default, AMD sysfs GPU + nvidia │ fallback, 1 h in-memory history at 2 s sampling, Chart.js + htmx, systemctl/journalctl via │ list-arg subprocess) stands as in the previous plan. │ │ Ready to implement — shall I start with step 1? │ │ tokens 41630 in 430 out 7787 cached 0 written $0.0000 stop │ 2026-08-29 19:49:14 • user │ │ please start the implementation. If there are questions along the way please ask. │ 2026-08-29 19:49:14 • assistant • Qwen3.8-27B-Think │ │ The user wants to start implementation. Let me create a TODO list and begin with step 1: │ scaffolding. │ │ Plan: │ 1. Scaffold: uv init, pyproject.toml with dependencies, config, app factory, SPA shell + tabs │ 2. Sampler + history + Overview (cards + charts) │ 3. Disks tab │ 4. Processes tab │ 5. Services tab │ 6. Journal tab │ 7. Plugin system + llama.cpp plugin │ 8. Polish + README + systemd unit │ │ Let's get started. First uv init the project. │ │ Directory: /home/mac/Code/dashboard (empty). │ │ Steps: │ - `uv init` in /home/mac/Code/dashboard (creates pyproject.toml, main.py, .python-version, etc.) │ - Add dependencies: fastapi, uvicorn[standard], psutil, jinja2, httpx, pydantic-settings │ - Vendor htmx.min.js and chart.umd.min.js (download via curl) │ - Create the app package and all files. │ │ Let me create the TODO list and start working. │ │ Design details to nail down: │ │ **pyproject.toml** (uv): │ ```toml │ [project] │ name = "dashboard" │ version = "0.1.0" │ description = "Computer dashboard and combined task manager" │ requires-python = ">=3.12" │ dependencies = [ │ "fastapi>=0.115", │ "uvicorn[standard]>=0.30", │ "psutil>=7.0", │ "jinja2>=3.1", │ "httpx>=0.27", │ "pydantic-settings>=2.3", │ ] │ ``` │ Python 3.14 is already installed. requires-python ">=3.13" should be fine. uv init handles it. │ │ **config.py**: pydantic-settings: │ ```python │ from pydantic_settings import BaseSettings, SettingsConfigDict │ │ class Settings(BaseSettings): │ model_config = SettingsConfigDict(env_prefix="DASH_", env_file=".env", extra="ignore") │ host: str = "127.0.0.1" │ port: int = 8501 │ sample_interval: float = 2.0 │ retention_minutes: int = 60 │ llama_base_url: str = "http://127.0.0.1:8080" │ llama_api_key: str | None = None │ llama_timeout: float = 5.0 │ ``` │ │ **state.py**: │ ```python │ class HistoryBuffer: │ def __init__(self, maxlen): self.data = deque(maxlen=maxlen) │ def append(self, ts, value) │ def values(self) -> (list[ts], list[float]) │ ``` │ Metrics: cpu, cpu_per_core (list of deques? Better: dict of co │ … [13998 more chars] │ │ Starting implementation now. Setting up the todo list and scaffolding the project. │ │ todowrite 10 todos ok 0.0s │ in │ { │ "todos": [ │ { │ "content": "Scaffold: uv init, deps, vendor htmx/Chart.js, config, app factory, SPA │ shell + tabs + CSS", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Sampler + history state + collect modules (cpu/mem/gpu/disks/procs)", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 1 Overview: cards fragment + /api/history JSON + Chart.js graphs", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 2 Disks: partitions + IO rates fragment", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 3 Processes: table with cpu/mem/io per process", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 5 Services: list, detail, enable/start/stop/disable/restart actions", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 4 Journal: cursor tail, level/unit/search filters, error │ highlighting", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 6 Plugin system + llama.cpp router-mode plugin", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Run server, verify all endpoints/tabs, fix issues", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "README + systemd unit + .env.example", │ "status": "pending", │ "priority": "medium" │ } │ ] │ } │ out │ [ │ { │ "content": "Scaffold: uv init, deps, vendor htmx/Chart.js, config, app factory, SPA │ shell + tabs + CSS", │ "status": "in_progress", │ "priority": "high" │ }, │ { │ "content": "Sampler + history state + collect modules (cpu/mem/gpu/disks/procs)", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 1 Overview: cards fragment + /api/history JSON + Chart.js graphs", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 2 Disks: partitions + IO rates fragment", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 3 Processes: table with cpu/mem/io per process", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 5 Services: list, detail, enable/start/stop/disable/restart actions", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 4 Journal: cursor tail, level/unit/search filters, error highlighting", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Tab 6 Plugin system + llama.cpp router-mode plugin", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "Run server, verify all endpoints/tabs, fix issues", │ "status": "pending", │ "priority": "high" │ }, │ { │ "content": "README + systemd unit + .env.example", │ "status": "pending", │ "priority": "medium" │ } │ ] │ │ tokens 49649 in 4862 out 0 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:53:05 • assistant • Qwen3.8-27B-Think │ │ Let's start scaffolding. First, initialize uv, check the environment details (permissions for │ journalctl/systemctl, the /sys/class/drm layout, whether llama-server exists), and create the │ project structure. │ │ bash cd /home/mac/Code/dashboard && uv init --no-readme --name dashboard && uv ad… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && uv init --no-readme --name dashboard && uv add │ fastapi \"uvicorn[standard]\" psutil jinja2 httpx pydantic-settings", │ "timeout": 180000 │ } │ out │ Initialized project `dashboard` │ Using CPython 3.14.7 interpreter at: /usr/bin/python3.14 │ Creating virtual environment at: .venv │ Resolved 27 packages in 499ms │ Building dashboard @ file:///home/mac/Code/dashboard │ Built dashboard @ file:///home/mac/Code/dashboard │ Downloading pydantic-core (2.0MiB) │ Downloading uvloop (4.1MiB) │ Downloaded pydantic-core │ Downloaded uvloop │ Prepared 27 packages in 529ms │ Installed 27 packages in 145ms │ + annotated-doc==0.0.5 │ + annotated-types==0.8.0 │ + anyio==4.14.2 │ + certifi==2026.7.22 │ + click==8.5.0 │ + dashboard==0.1.0 (from file:///home/mac/Code/dashboard) │ + fastapi==0.141.1 │ + h11==0.16.0 │ + httpcore==1.0.9 │ + httptools==0.8.0 │ + httpx==0.28.1 │ + idna==3.19 │ + jinja2==3.1.6 │ + markupsafe==3.0.3 │ + psutil==7.2.2 │ + pydantic==2.13.5 │ + pydantic-core==2.46.5 │ + pydantic-settings==2.15.0 │ + python-dotenv==1.2.3 │ + pyyaml==6.0.3 │ + starlette==1.6.0 │ + typing-extensions==4.16.0 │ + typing-inspection==0.4.4 │ + uvicorn==0.52.4 │ + uvloop==0.22 │ bash journalctl -n 2 -o export 2>&1 | head -20; echo "---systemctl---"; systemctl… ok 0.0s │ in │ { │ "command": "journalctl -n 2 -o export 2>&1 | head -20; echo \"---systemctl---\"; systemctl │ list-units --type=service --no-legend --plain 2>&1 | head -5; echo \"---drm---\"; ls │ /sys/class/drm/; echo \"---llama---\"; which llama-server || echo \"no llama-server\"; │ echo \"---sudo---\"; sudo -n systemctl is-system-running 2>&1" │ } │ out │ __CURSOR=s=661e4453b30f48c98a757a56bbb10e5c;i=3a010;b=31722cade7ee4be4a1dc50856789b79f;m=982 │ cc046;t=65a331629a2fa;x=6417bdf179862825 │ __REALTIME_TIMESTAMP=1788025321923322 │ __MONOTONIC_TIMESTAMP=2553069638 │ __SEQNUM=237584 │ __SEQNUM_ID=661e4453b30f48c98a757a56bbb10e5c │ _BOOT_ID=31722cade7ee4be4a1dc50856789b79f │ _TRANSPORT=journal │ _MACHINE_ID=61d45e2573d14ff4a0a5efad36dbfc50 │ _HOSTNAME=coulomb │ _RUNTIME_SCOPE=system │ PRIORITY=6 │ SYSLOG_FACILITY=3 │ TID=1 │ SYSLOG_IDENTIFIER=systemd │ _PID=1 │ _UID=0 │ _GID=0 │ _COMM=systemd │ _EXE=/usr/lib/systemd/systemd │ _CMDLINE=/usr/lib/systemd/systemd --switched-root --system --deserialize=59 splash │ ---systemctl--- │ accounts-daemon.service loaded active running Accounts │ Service │ alsa-restore.service loaded active exited Save/Restore │ Sound Card State │ ananicy-cpp.service loaded active running Ananicy-Cpp - │ ANother Auto NICe daemon in C++ │ avahi-daemon.service loaded active running Avahi │ mDNS/DNS-SD Stack │ bluetooth.service loaded active running Bluetooth │ service │ ---drm--- │ card1 │ card1-DP-1 │ card1-eDP-1 │ card1-HDMI-A-1 │ renderD128 │ version │ ---llama--- │ /usr/bin/llama-server │ ---sudo--- │ running │ │ tokens 5320 in 244 out 49645 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:53:25 • assistant • Qwen3.8-27B-Think │ │ The environment is ready. journalctl works without sudo, and systemctl list-units also works │ without sudo. llama-server exists at /usr/bin/llama-server. /sys/class/drm has card1. │ │ Alright, let's build out the whole project. I'll write all the files systematically. │ │ First, check what uv init created: │ - pyproject.toml │ - main.py (probably a placeholder hello world) │ - .python-version │ │ Let's look at the generated pyproject and main.py, then build out the structure. │ │ Now, let's design the app. I'll create a well-structured FastAPI app. │ │ File plan: │ ``` │ dashboard/ │ ├── pyproject.toml │ ├── .env.example │ ├── main.py │ ├── README.md │ ├── app/ │ │ ├── __init__.py │ │ ├── main.py │ │ ├── config.py │ │ ├── state.py │ │ ├── sampling.py │ │ ├── collect/ │ │ │ ├── __init__.py │ │ │ ├── cpu.py │ │ │ ├── mem.py │ │ │ ├── gpu.py │ │ │ ├── disks.py │ │ │ └── procs.py │ │ ├── systemd/ │ │ │ ├── __init__.py │ │ │ └── units.py │ │ ├── journal.py │ │ ├── routers/ │ │ │ ├── __init__.py │ │ │ ├── overview.py │ │ │ ├── disks.py │ │ │ ├── processes.py │ │ │ ├── journal.py │ │ │ ├── services.py │ │ │ └── plugins.py │ │ └── plugins/ │ │ ├── __init__.py │ │ ├── base.py │ │ └── llamacpp.py │ ├── static/ │ │ ├── index.html │ │ ├── css/ │ │ │ └── style.css │ │ ├── js/ │ │ │ └── app.js │ │ └── vendor/ │ │ ├── htmx.min.js │ │ └── chart.umd.min.js │ └── templates/ │ ├── overview.html │ ├── disks.html │ ├── processes.html │ ├── journal.html │ ├── services.html │ └── plugins.html │ ``` │ │ Let's start writing files. First check the generated pyproject.toml. │ │ Thinking about key design details: │ │ **config.py** - pydantic-settings │ ```python │ from pydantic_settings import BaseSettings, SettingsConfigDict │ │ class Settings(BaseSettings): │ model_config = SettingsConfigDict(env_prefix="DASH_", env_file=".env", extra="ignore") │ host: str = "127.0.0.1" │ port: int = 8501 │ sample_interval: float = 2.0 │ retention_minutes: int = 60 │ llama_base_url: str = │ … [23563 more chars] │ │ Environment is ready: journalctl and systemctl work without sudo, `llama-server` exists at │ `/usr/bin/llama-server`, and the AMD GPU is on `card1`. Let me check the generated files, then │ build. │ │ read /home/mac/Code/dashboard/pyproject.toml ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/pyproject.toml" │ } │ out │ /home/mac/Code/dashboard/pyproject.tomlfile │ 1: [project] │ 2: name = "dashboard" │ 3: version = "0.1.0" │ 4: description = "Add your description here" │ 5: requires-python = ">=3.14" │ 6: dependencies = [ │ 7: "fastapi>=0.141.1", │ 8: "httpx>=0.28.1", │ 9: "jinja2>=3.1.6", │ 10: "psutil>=7.2.2", │ 11: "pydantic-settings>=2.15.0", │ 12: "uvicorn[standard]>=0.52.4", │ 13: ] │ 14: │ 15: [project.scripts] │ 16: dashboard = "dashboard:main" │ 17: │ 18: [build-system] │ 19: requires = ["uv_build>=0.12.7,<0.13.0"] │ 20: build-backend = "uv_build" │ │ (End of file - total 20 lines) │ │ read /home/mac/Code/dashboard/main.py ERR 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/main.py" │ } │ err File not found: /home/mac/Code/dashboard/main.py │ bash cd /home/mac/Code/dashboard && ls -la && echo "---corecount---" && nproc && … ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && ls -la && echo \"---corecount---\" && nproc && │ echo \"---cpu sysfs---\" && ls /sys/class/drm/card1/device/ | grep -E │ \"busy|vram|hwmon|label\" ; echo \"---hwmon---\"; ls /sys/class/drm/card1/device/hwmon/ │ 2>/dev/null" │ } │ out │ total 104 │ drwxr-xr-x 1 mac mac 116 29. Aug 19:53 . │ drwxr-xr-x 1 mac mac 58 29. Aug 19:23 .. │ drwxr-xr-x 1 mac mac 82 29. Aug 19:53 .git │ -rw-r--r-- 1 mac mac 109 29. Aug 19:53 .gitignore │ -rw-r--r-- 1 mac mac 419 29. Aug 19:53 pyproject.toml │ -rw-r--r-- 1 mac mac 5 29. Aug 19:53 .python-version │ drwxr-xr-x 1 mac mac 18 29. Aug 19:53 src │ -rw-r--r-- 1 mac mac 92028 29. Aug 19:53 uv.lock │ drwxr-xr-x 1 mac mac 96 29. Aug 19:53 .venv │ ---corecount--- │ 16 │ ---cpu sysfs--- │ gpu_busy_percent │ hwmon │ mem_info_vis_vram_total │ mem_info_vis_vram_used │ mem_info_vram_total │ mem_info_vram_used │ vcn_busy_percent │ ---hwmon--- │ hwmon5 │ │ tokens 926 in 7101 out 55208 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:57:08 • assistant • Qwen3.8-27B-Think │ │ uv init created a src layout with a package `src/dashboard`. It generated `[project.scripts] │ dashboard = "dashboard:main"`. Let me check the src directory. │ │ Actually, uv init created the src layout with a `src/dashboard` package. Let me take a look. But │ I was planning to have an `app/` package at the root. Let me check what's in src. │ │ I'll restructure: either use the `app` package that I was planning, or keep it simple. uv's │ default is a src layout with `src/dashboard/__init__.py`. To make things simple and explicit, │ let me restructure into an `app/` package at the root (no src layout). Let me check what's in │ src. │ │ Actually, since the build-system is uv_build and there's a script `dashboard:main`, it's │ expecting a `dashboard` module. Let me simplify: either rewrite pyproject to remove the │ build-system and scripts, and just use a plain package `app/` and `main.py` at the root, or keep │ it minimal. │ │ Let me rethink. The cleanest for this project is: │ - A root `main.py` as the entry point (uv run python main.py) │ - An `app/` package at the root │ - No build-system needed (not a library) │ │ Let me rewrite pyproject.toml to be a simple app, delete src/, and create app/ + main.py. Let me │ check the contents of src first. │ │ bash cd /home/mac/Code/dashboard && find src -type f | head && echo "---" && cat … ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && find src -type f | head && echo \"---\" && cat │ src/dashboard/__init__.py 2>/dev/null && cat .python-version" │ } │ out │ src/dashboard/__init__.py │ --- │ def main() -> None: │ print("Hello from dashboard!") │ 3.14 │ │ tokens 7736 in 377 out 56130 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:57:41 • assistant • Qwen3.8-27B-Think │ │ uv init created the src layout. Let's restructure: delete src/, and create an `app/` package and │ a root `main.py`. Simplify pyproject.toml (remove the build-system and scripts — since this is │ an app, not a library). │ │ So now I'll write all the files. Starting with pyproject, config, state, and the collect module. │ │ Plan for file creation (in a batch): │ │ 1. pyproject.toml (rewrite) │ 2. app/__init__.py │ 3. app/config.py │ 4. app/state.py │ 5. app/sampling.py │ 6. app/collect/__init__.py, cpu.py, mem.py, gpu.py, disks.py, procs.py │ 7. app/systemd/__init__.py, units.py │ 8. app/journal.py │ 9. app/main.py │ 10. main.py (root entry) │ 11. routers... │ │ First, let's write pyproject. │ │ uv created a src-layout library scaffold, but since this is an app, I'll restructure it into a │ flat `app/` package and a root `main.py`. Now I'll start writing files. │ │ write /home/mac/Code/dashboard/pyproject.toml ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/pyproject.toml", │ "content": "[project]\nname = \"dashboard\"\nversion = \"0.1.0\"\ndescription = \"Computer │ dashboard and combined task manager (FastAPI + htmx)\"\nrequires-python = │ \">=3.12\"\ndependencies = [\n \"fastapi>=0.141.1\",\n \"httpx>=0.28.1\",\n │ \"jinja2>=3.1.6\",\n \"psutil>=7.2.2\",\n \"pydantic-settings>=2.15.0\",\n │ \"uvicorn[standard]>=0.52.4\",\n]\n\n[tool.uv]\npackage = false\n" │ } │ out Wrote file successfully. │ bash cd /home/mac/Code/dashboard && rm -rf src && mkdir -p app/collect app/system… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && rm -rf src && mkdir -p app/collect app/systemd │ app/routers app/plugins static/css static/js static/vendor templates" │ } │ out (no output) │ │ tokens 43 in 498 out 64243 cached 0 written $0.0000 tool-calls │ 2026-08-29 19:57:56 • assistant • Qwen3.8-27B-Think │ │ Alright, let's write the core Python modules. I'll batch the writes. │ │ **app/config.py**: │ ```python │ from functools import lru_cache │ │ from pydantic_settings import BaseSettings, SettingsConfigDict │ │ │ class Settings(BaseSettings): │ model_config = SettingsConfigDict(env_prefix="DASH_", env_file=".env", extra="ignore") │ │ host: str = "127.0.0.1" │ port: int = 8501 │ sample_interval: float = 2.0 │ retention_minutes: int = 60 │ │ llama_base_url: str = "http://127.0.0.1:8080" │ llama_api_key: str = "" │ llama_timeout: float = 4.0 │ │ @property │ def history_maxlen(self) -> int: │ return max(10, int(self.retention_minutes * 60 / self.sample_interval)) │ │ │ @lru_cache │ def get_settings() -> Settings: │ return Settings() │ ``` │ │ **app/state.py**: │ ```python │ import time │ from collections import deque │ │ │ class HistoryStore: │ def __init__(self, maxlen: int) -> None: │ self._buf: deque[tuple[float, dict]] = deque(maxlen=maxlen) │ │ def record(self, sample: dict) -> None: │ self._buf.append((time.time(), sample)) │ │ def snapshot(self) -> list[tuple[float, dict]]: │ return list(self._buf) │ │ def latest(self) -> dict | None: │ return self._buf[-1][1] if self._buf else None │ │ def __len__(self) -> int: │ return len(self._buf) │ ``` │ │ **app/collect/cpu.py**: │ ```python │ import psutil │ │ _core_count: int | None = None │ │ │ def prime() -> None: │ psutil.cpu_percent(None) │ psutil.cpu_percent(None, percpu=True) │ _get_core_count() │ │ │ def _get_core_count() -> int: │ global _core_count │ if _core_count is None: │ _core_count = len(psutil.cpu_count(logical=True) and psutil.cpu_percent(None, │ percpu=True)) │ return _core_count │ ``` │ │ Hmm, that's roundabout. Just simply: `_core_count = psutil.cpu_count(logical=True)`. │ │ ```python │ import psutil │ │ def prime() -> None: │ psutil.cpu_percent(None) │ psutil.cpu_percent(None, percpu=True) │ │ def core_count() -> int: │ return psutil.cpu_count(logical=True) or 1 │ │ def sample() -> dict: │ ou │ … [27329 more chars] │ │ Now the core Python modules. │ │ write /home/mac/Code/dashboard/app/config.py ok 0.0s │ in │ { │ "content": "from functools import lru_cache\n\nfrom pydantic_settings import BaseSettings, │ SettingsConfigDict\n\n\nclass Settings(BaseSettings):\n model_config = │ SettingsConfigDict(env_prefix=\"DASH_\", env_file=\".env\", extra=\"ignore\")\n\n host: │ str = \"127.0.0.1\"\n port: int = 8501\n sample_interval: float = 2.0\n │ retention_minutes: int = 60\n\n llama_base_url: str = \"http://127.0.0.1:8080\"\n │ llama_api_key: str = \"\"\n llama_timeout: float = 4.0\n\n @property\n def │ history_maxlen(self) -> int:\n return max(10, int(self.retention_minutes * 60 / │ self.sample_interval))\n\n\n@lru_cache\ndef get_settings() -> Settings:\n return │ Settings()\n", │ "filePath": "/home/mac/Code/dashboard/app/config.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/state.py ok 0.0s │ in │ { │ "content": "import time\nfrom collections import deque\n\n\nclass HistoryStore:\n def │ __init__(self, maxlen: int) -> None:\n self._buf: deque[tuple[float, dict]] = │ deque(maxlen=maxlen)\n\n def record(self, sample: dict) -> None:\n │ self._buf.append((time.time(), sample))\n\n def snapshot(self) -> list[tuple[float, │ dict]]:\n return list(self._buf)\n\n def latest(self) -> dict | None:\n │ return self._buf[-1][1] if self._buf else None\n\n def __len__(self) -> int:\n │ return len(self._buf)\n", │ "filePath": "/home/mac/Code/dashboard/app/state.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/collect/cpu.py ok 0.0s │ in │ { │ "content": "import psutil\n\n\ndef prime() -> None:\n psutil.cpu_percent(None)\n │ psutil.cpu_percent(None, percpu=True)\n\n\ndef core_count() -> int:\n return │ psutil.cpu_count(logical=True) or 1\n\n\ndef sample() -> dict:\n out: dict = {\"cpu\": │ psutil.cpu_percent(None)}\n for i, v in enumerate(psutil.cpu_percent(None, │ percpu=True)):\n out[f\"cpu_core_{i}\"] = v\n l1, l5, l15 = │ psutil.getloadavg()\n out[\"load1\"] = l1\n out[\"load5\"] = l5\n out[\"load15\"] │ = l15\n return out\n", │ "filePath": "/home/mac/Code/dashboard/app/collect/cpu.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/collect/mem.py ok 0.0s │ in │ { │ "content": "import psutil\n\n\ndef sample() -> dict:\n v = psutil.virtual_memory()\n │ s = psutil.swap_memory()\n return {\n \"mem_used\": v.used,\n │ \"mem_total\": v.total,\n \"mem_pct\": v.percent,\n \"swap_used\": s.used,\n │ \"swap_total\": s.total,\n \"swap_pct\": s.percent,\n }\n", │ "filePath": "/home/mac/Code/dashboard/app/collect/mem.py" │ } │ out Wrote file successfully. │ │ tokens 27 in 8978 out 64785 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:02:14 • assistant • Qwen3.8-27B-Think │ │ Next up are gpu.py, disks.py, procs.py, and then collect/__init__.py. │ │ write /home/mac/Code/dashboard/app/collect/gpu.py ok 0.0s │ in │ { │ "content": "import glob\nimport shutil\nimport subprocess\n\n_name_cache: str | None = │ None\n\n\ndef _read(path: str) -> str | None:\n try:\n with open(path) as f:\n │ return f.read().strip()\n except OSError:\n return None\n\n\ndef _gpu_name() -> │ str:\n global _name_cache\n if _name_cache is None:\n _name_cache = \"GPU\"\n │ if shutil.which(\"lspci\"):\n try:\n out = subprocess.run(\n │ [\"lspci\"], capture_output=True, text=True, timeout=5\n ).stdout\n │ for line in out.splitlines():\n if \"VGA\" in line or \"3D controller\" │ in line:\n _name_cache = line.split(\":\", 2)[-1].strip()\n │ break\n except (OSError, subprocess.SubprocessError):\n pass\n │ return _name_cache\n\n\ndef _amd_sample() -> dict | None:\n devices = │ sorted(glob.glob(\"/sys/class/drm/card[0-9]*/device/gpu_busy_percent\"))\n if not │ devices:\n return None\n busy_sum = 0\n count = 0\n vram_used = 0\n │ vram_total = 0\n temps: list[float] = []\n for busy_path in devices:\n dev = │ busy_path.rsplit(\"/\", 1)[0]\n try:\n busy_sum += int(_read(busy_path) │ or 0)\n count += 1\n except ValueError:\n continue\n │ vram_used += int(_read(f\"{dev}/mem_info_vram_used\") or 0)\n vram_total += │ int(_read(f\"{dev}/mem_info_vram_total\") or 0)\n for hwmon in │ glob.glob(f\"{dev}/hwmon/hwmon*\"):\n t = _read(f\"{hwmon}/temp1_input\")\n │ if t:\n try:\n temps.append(int(t) / 1000.0)\n │ except ValueError:\n pass\n if count == 0:\n return None\n │ return {\n \"gpu\": round(busy_sum / count, 1),\n \"vram_used\": │ vram_used,\n \"vram_total\": vram_total,\n \"gpu_temp\": max(temps) if temps │ else N │ … [1649 more chars] │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/collect/disks.py ok 0.0s │ in │ { │ "content": "import psutil\n\n\ndef counters() -> dict:\n return │ psutil.disk_io_counters(perdisk=True) or {}\n\n\ndef rates(prev: dict, dt: float) -> │ dict:\n cur = counters()\n r = 0\n w = 0\n for name, c in cur.items():\n │ p = prev.get(name)\n if p is not None and dt > 0:\n r += max(0, │ c.read_bytes - p.read_bytes)\n w += max(0, c.write_bytes - p.write_bytes)\n │ return {\"io_read\": r / dt if dt > 0 else 0.0, \"io_write\": w / dt if dt > 0 else │ 0.0}\n\n\ndef partitions() -> list[dict]:\n out = []\n for p in │ psutil.disk_partitions(all=False):\n try:\n u = │ psutil.disk_usage(p.mountpoint)\n except (OSError, PermissionError):\n │ continue\n out.append(\n {\n \"device\": p.device,\n │ \"mount\": p.mountpoint,\n \"fstype\": p.fstype,\n │ \"total\": u.total,\n \"used\": u.used,\n \"free\": │ u.free,\n \"pct\": u.percent,\n }\n )\n │ out.sort(key=lambda x: x[\"mount\"])\n return out\n", │ "filePath": "/home/mac/Code/dashboard/app/collect/disks.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/collect/procs.py ok 0.0s │ in │ { │ "content": "import shutil\nimport subprocess\nimport time\n\nimport psutil\n\n_prev_io: │ dict[int, tuple[float, float, float]] = {}\n_gpu_procs: dict[int, int] | None = │ None\n_gpu_probe_t = 0.0\n\n\ndef _gpu_per_proc() -> dict[int, int]:\n global │ _gpu_procs, _gpu_probe_t\n if not shutil.which(\"nvidia-smi\"):\n return {}\n │ if _gpu_procs is not None and time.monotonic() - _gpu_probe_t < 10:\n return │ _gpu_procs\n _gpu_probe_t = time.monotonic()\n _gpu_procs = {}\n try:\n │ out = subprocess.run(\n [\n \"nvidia-smi\",\n │ \"--query-compute-apps=pid,used_memory\",\n │ \"--format=csv,noheader,nounits\",\n ],\n capture_output=True,\n │ text=True,\n timeout=5,\n ).stdout\n for line in │ out.splitlines():\n parts = [p.strip() for p in line.split(\",\")]\n │ if len(parts) >= 2:\n try:\n _gpu_procs[int(parts[0])] = │ int(parts[1])\n except ValueError:\n continue\n │ except (OSError, subprocess.SubprocessError):\n pass\n return │ _gpu_procs\n\n\ndef sample() -> list[dict]:\n now = time.monotonic()\n mem_total = │ psutil.virtual_memory().total\n gpu = _gpu_per_proc()\n out: list[dict] = []\n │ alive: set[int] = set()\n for p in psutil.process_iter():\n try:\n │ with p.oneshot():\n cpu = p.cpu_percent(None)\n mem = │ p.memory_info()\n name = p.name()\n user = p.username()\n │ try:\n io = p.io_counters()\n except │ (psutil.AccessDenied, psutil.NoSuchProcess, OSError):\n io = None\n │ except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):\n │ continue\n pid = p.pid\n alive.add(pid)\n entry = {\n │ \"pid\": pid,\n \"name\": │ … [863 more chars] │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/collect/__init__.py ok 0.0s │ in │ { │ "content": "from app.collect import cpu, disks, gpu, mem, procs\n\n__all__ = [\"cpu\", │ \"disks\", \"gpu\", \"mem\", \"procs\"]\n", │ "filePath": "/home/mac/Code/dashboard/app/collect/__init__.py" │ } │ out Wrote file successfully. │ │ tokens 9032 in 2232 out 64808 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:03:39 • assistant • Qwen3.8-27B-Think │ │ Now: sampling.py, systemd/units.py, journal.py. │ │ write /home/mac/Code/dashboard/app/sampling.py ok 0.0s │ in │ { │ "content": "import asyncio\nimport time\n\nfrom app.collect import cpu, disks, gpu, │ mem\nfrom app.state import HistoryStore\n\n\ndef _collect() -> dict:\n sample = {}\n │ sample.update(cpu.sample())\n sample.update(mem.sample())\n │ sample.update(gpu.sample())\n return sample\n\n\nasync def sampler_loop(store: │ HistoryStore, sample_interval: float) -> None:\n cpu.prime()\n prev_disk = │ disks.counters()\n prev_t = time.monotonic()\n while True:\n await │ asyncio.sleep(sample_interval)\n sample = await asyncio.to_thread(_collect)\n │ now = time.monotonic()\n dt = now - prev_t\n │ sample.update(disks.rates(prev_disk, dt))\n prev_disk = disks.counters()\n │ prev_t = now\n store.record(sample)\n", │ "filePath": "/home/mac/Code/dashboard/app/sampling.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/systemd/units.py ok 0.0s │ in │ { │ "content": "import asyncio\nimport re\n\nUNIT_RE = │ re.compile(r\"^[A-Za-z0-9@:_.\\-+]+\\.(service|socket|timer|target|path|slice)$\")\nACTION │ S = (\"start\", \"stop\", \"restart\", \"enable\", \"disable\")\n\n_DETAIL_PROPS = (\n │ \"ActiveState,SubState,LoadState,UnitFileState,Description,MainPID,\"\n │ \"ExecMainStartTimestamp,NRestarts,FragmentPath,Result\"\n)\n\n\nasync def _run(cmd: │ list[str]) -> tuple[int, str, str]:\n proc = await asyncio.create_subprocess_exec(\n │ *cmd,\n stdout=asyncio.subprocess.PIPE,\n stderr=asyncio.subprocess.PIPE,\n │ )\n out, err = await proc.communicate()\n return proc.returncode or 0, │ out.decode(errors=\"replace\"), err.decode(errors=\"replace\")\n\n\nasync def │ _systemctl(*args: str, privileged: bool = False) -> str:\n cmds = [[\"systemctl\", │ *args]]\n if privileged:\n cmds.append([\"sudo\", \"systemctl\", *args])\n │ err = \"\"\n for cmd in cmds:\n rc, out, err = await _run(cmd)\n if rc == │ 0:\n return out\n raise RuntimeError(err.strip() or f\"systemctl {' │ '.join(args)} failed\")\n\n\nasync def unit_list() -> list[dict]:\n out = await │ _systemctl(\n \"list-units\", \"--type=service\", \"--all\", \"--no-legend\", │ \"--plain\"\n )\n units: dict[str, dict] = {}\n for line in out.splitlines():\n │ parts = line.split(None, 4)\n if len(parts) < 4:\n continue\n │ name, load, active, sub = parts[0], parts[1], parts[2], parts[3]\n desc = parts[4] │ if len(parts) > 4 else \"\"\n units[name] = {\n \"name\": name,\n │ \"load\": load,\n \"active\": active,\n \"sub\": sub,\n │ \"desc\": desc,\n \"enabled\": \"\",\n }\n files = await │ _systemctl(\"list-unit-files\", \"--type=service\", \"--no-legend\", \"--plain\")\n for │ line in files.splitlines():\n parts = line.split(None, 1)\n if len(parts) < │ 2:\n continue\n │ … [1376 more chars] │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/systemd/__init__.py ok 0.0s │ in │ { │ "content": "from app.systemd import units\n\n__all__ = [\"units\"]\n", │ "filePath": "/home/mac/Code/dashboard/app/systemd/__init__.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/journal.py ok 0.0s │ in │ { │ "content": "import asyncio\nimport re\nfrom datetime import datetime, │ timezone\n\nCURSOR_RE = re.compile(r\"^[A-Za-z0-9;:=+./_-]+$\")\nLEVELS = {\"all\": None, │ \"warn\": \"warning\", \"err\": \"err\"}\nFIELD_RE = │ re.compile(r\"^([A-Z_][A-Z0-9_]*)=\")\n\n\ndef parse_export(text: str) -> list[dict]:\n │ entries: list[dict] = []\n cur: dict | None = None\n last_key: str | None = None\n │ for raw in text.splitlines():\n if raw == \"\":\n if cur is not None:\n │ entries.append(cur)\n cur, last_key = None, None\n continue\n │ m = FIELD_RE.match(raw)\n if m:\n if cur is None:\n cur = │ {}\n last_key = m.group(1)\n cur[last_key] = raw[m.end():]\n │ elif cur is not None and last_key is not None:\n cur[last_key] += \"\\n\" + │ raw\n if cur is not None:\n entries.append(cur)\n return entries\n\n\ndef │ format_entries(entries: list[dict]) -> list[dict]:\n out = []\n for e in entries:\n │ ts = e.get(\"__REALTIME_TIMESTAMP\")\n stamp = \"\"\n try:\n dt = │ datetime.fromtimestamp(int(ts) / 1e6, tz=timezone.utc).astimezone()\n stamp = │ dt.strftime(\"%H:%M:%S\")\n except (ValueError, OSError, TypeError):\n │ pass\n try:\n prio = int(e.get(\"PRIORITY\", \"6\"))\n except │ ValueError:\n prio = 6\n msg = e.get(\"MESSAGE\", │ \"\").rstrip(\"\\n\")\n out.append(\n {\n \"stamp\": │ stamp,\n \"prio\": prio,\n \"ident\": │ e.get(\"SYSLOG_IDENTIFIER\") or e.get(\"_COMM\") or e.get(\"_PID\", \"?\"),\n │ \"msg\": msg,\n \"cursor\": e.get(\"__CURSOR\", \"\"),\n }\n │ )\n return out\n\n\nasync def _journalctl(args: list[str]) -> str:\n proc = await │ asyncio.create_subprocess_exec(\n \"journalctl\",\n *args,\n │ stdout=asyncio.su │ … [1171 more chars] │ out Wrote file successfully. │ │ tokens 51 in 2090 out 76071 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:04:34 • assistant • Qwen3.8-27B-Think │ │ Wait, there's a bug in journal.py's fallback: `await _journalctl(["sudo"] + args)` — _journalctl │ prepends "journalctl" first, so it ends up being "journalctl sudo --no-pager...", which is │ wrong. Fix: either make _journalctl able to accept an optional prefix, or restructure it. Let me │ fix it by changing the signature: `_journalctl(argv: list[str])` where argv contains the full │ command. I'll rewrite this part. │ │ Also, note that journalctl as non-root works here, so the fallback rarely fires, but it needs to │ be correct. │ │ Next up: render.py (jinja env + filters), routers, plugins, app/main.py, main.py. │ │ edit /home/mac/Code/dashboard/app/journal.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/journal.py", │ "oldString": "async def _journalctl(args: list[str]) -> str:\n proc = await │ asyncio.create_subprocess_exec(\n \"journalctl\",\n *args,\n │ stdout=asyncio.subprocess.PIPE,\n stderr=asyncio.subprocess.PIPE,\n )\n out, │ err = await proc.communicate()\n if proc.returncode != 0:\n raise │ RuntimeError(err.decode(errors=\"replace\").strip() or \"journalctl failed\")\n return │ out.decode(errors=\"replace\")", │ "newString": "async def _journalctl(argv: list[str]) -> str:\n proc = await │ asyncio.create_subprocess_exec(\n *argv,\n stdout=asyncio.subprocess.PIPE,\n │ stderr=asyncio.subprocess.PIPE,\n )\n out, err = await proc.communicate()\n if │ proc.returncode != 0:\n raise RuntimeError(err.decode(errors=\"replace\").strip() │ or \"journalctl failed\")\n return out.decode(errors=\"replace\")" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/journal.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/journal.py", │ "oldString": " try:\n text = await _journalctl(args)\n except RuntimeError:\n │ text = await _journalctl([\"sudo\"] + args)", │ "newString": " try:\n text = await _journalctl([\"journalctl\"] + args)\n │ except RuntimeError:\n text = await _journalctl([\"sudo\", \"journalctl\"] + args)" │ } │ out Edit applied successfully. │ │ tokens 49 in 549 out 78213 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:04:50 • assistant • Qwen3.8-27B-Think │ │ Next up is render.py with the Jinja environment and filters, then the router after that. │ │ write /home/mac/Code/dashboard/app/render.py ok 0.0s │ in │ { │ "content": "from datetime import timedelta\nfrom pathlib import Path\n\nfrom jinja2 import │ Environment, FileSystemLoader, select_autoescape\n\nBASE = │ Path(__file__).resolve().parent.parent\n\n\ndef humanize(value) -> str:\n if value is │ None:\n return \"—\"\n n = float(value)\n for unit in (\"B\", \"KiB\", │ \"MiB\", \"GiB\", \"TiB\"):\n if abs(n) < 1024 or unit == \"TiB\":\n if │ unit == \"B\":\n return f\"{int(n)} B\"\n return f\"{n:.1f} │ {unit}\"\n n /= 1024\n return f\"{n:.1f} TiB\"\n\n\ndef rate(value) -> str:\n │ if value is None:\n return \"—\"\n n = float(value)\n for unit in (\"B/s\", │ \"KiB/s\", \"MiB/s\", \"GiB/s\"):\n if abs(n) < 1024 or unit == \"GiB/s\":\n │ if unit == \"B/s\":\n return f\"{int(n)} B/s\"\n return │ f\"{n:.1f} {unit}\"\n n /= 1024\n return f\"{n:.1f} GiB/s\"\n\n\ndef │ uptime_str(seconds) -> str:\n if seconds is None:\n return \"—\"\n td = │ timedelta(seconds=int(seconds))\n days, rem = divmod(td.seconds, 86400)\n hours, rem │ = divmod(rem, 3600)\n minutes = rem // 60\n parts = []\n if days:\n │ parts.append(f\"{days}d\")\n if days or hours:\n parts.append(f\"{hours}h\")\n │ parts.append(f\"{minutes}m\")\n return \" \".join(parts)\n\n\ndef pct(value) -> str:\n │ if value is None:\n return \"—\"\n return f\"{value:.0f}%\"\n\n\nenv = │ Environment(\n loader=FileSystemLoader(BASE / \"templates\"),\n │ autoescape=select_autoescape((\"html\", \"j2\")),\n)\nenv.filters[\"humanize\"] = │ humanize\nenv.filters[\"rate\"] = rate\nenv.filters[\"uptime\"] = │ uptime_str\nenv.filters[\"pct\"] = pct\n\n\ndef render(name: str, **ctx) -> str:\n │ return env.get_template(name).render(**ctx)\n", │ "filePath": "/home/mac/Code/dashboard/app/render.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/routers/overview.py ok 0.0s │ in │ { │ "content": "import time\n\nimport psutil\nfrom fastapi import APIRouter, Request\nfrom │ fastapi.responses import HTMLResponse, JSONResponse\n\nfrom app.render import render, │ uptime_str\n\nrouter = APIRouter(prefix=\"/api\", │ tags=[\"overview\"])\n\n\n@router.get(\"/overview\")\nasync def overview(request: │ Request):\n store = request.app.state.store\n s = store.latest() or {}\n return │ HTMLResponse(\n render(\n \"overview.html\",\n s=s,\n │ uptime=uptime_str(time.time() - psutil.boot_time()),\n │ cores=psutil.cpu_count(logical=True) or 1,\n )\n │ )\n\n\n@router.get(\"/history\")\nasync def history(request: Request):\n snap = │ request.app.state.store.snapshot()\n ts = [round(t, 1) for t, _ in snap]\n series: │ dict[str, list] = {}\n for _, sample in snap:\n for k, v in sample.items():\n │ if isinstance(v, float):\n v = round(v, 1)\n col = │ series.setdefault(k, [])\n col.append(v)\n return JSONResponse({\"ts\": ts, │ \"series\": series})\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/overview.py" │ } │ out Wrote file successfully. │ │ tokens 28 in 910 out 78811 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:05:16 • assistant • Qwen3.8-27B-Think │ │ Currently, the routers for disks, processes, journal, services, and plugins are being targeted. │ │ write /home/mac/Code/dashboard/app/routers/disks.py ok 0.0s │ in │ { │ "content": "import time\n\nfrom fastapi import APIRouter, Request\nfrom fastapi.responses │ import HTMLResponse\n\nfrom app.collect import disks as disk_col\nfrom app.render import │ render\n\nrouter = APIRouter(prefix=\"/api\", tags=[\"disks\"])\n\n_prev: dict | None = │ None\n_prev_t: float = 0.0\n\n\n@router.get(\"/disks\")\nasync def disks(request: │ Request):\n global _prev, _prev_t\n now = time.monotonic()\n cur = │ disk_col.counters()\n per_disk = []\n dt = (now - _prev_t) if _prev is not None and │ _prev_t else 0.0\n for name, c in sorted(cur.items()):\n p = (_prev or │ {}).get(name)\n per_disk.append(\n {\n \"device\": │ name,\n \"read_rate\": (c.read_bytes - p.read_bytes) / dt if p and dt > 0 │ else 0.0,\n \"write_rate\": (c.write_bytes - p.write_bytes) / dt if p and │ dt > 0 else 0.0,\n \"reads\": c.read_count,\n \"writes\": │ c.write_count,\n \"read_bytes\": c.read_bytes,\n │ \"write_bytes\": c.write_bytes,\n }\n )\n _prev = cur\n _prev_t = │ now\n return HTMLResponse(\n render(\"disks.html\", │ partitions=disk_col.partitions(), per_disk=per_disk)\n )\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/disks.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/routers/processes.py ok 0.0s │ in │ { │ "content": "import asyncio\n\nfrom fastapi import APIRouter\nfrom fastapi.responses import │ HTMLResponse\n\nfrom app.collect import procs as proc_col\nfrom app.render import │ render\n\nrouter = APIRouter(prefix=\"/api\", tags=[\"processes\"])\n\nSORT_KEYS = │ (\"pid\", \"name\", \"cpu\", \"rss\", \"mem_pct\", \"io_read\", \"io_write\", │ \"gpu\")\n\n\n@router.get(\"/processes\")\nasync def processes(q: str = \"\", sort: str = │ \"cpu\", order: str = \"desc\"):\n if sort not in SORT_KEYS:\n sort = \"cpu\"\n │ if order not in (\"asc\", \"desc\"):\n order = \"desc\"\n procs = await │ asyncio.to_thread(proc_col.sample)\n if q:\n ql = q.lower()\n procs = [p │ for p in procs if ql in p[\"name\"].lower() or str(p[\"pid\"]) == ql]\n reverse = order │ == \"desc\"\n try:\n procs.sort(key=lambda p: (p[sort] is None, p[sort]), │ reverse=reverse)\n except (KeyError, TypeError):\n pass\n return │ HTMLResponse(\n render(\n \"processes.html\",\n │ procs=procs[:300],\n total=len(procs),\n q=q,\n │ sort=sort,\n order=order,\n )\n )\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/processes.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/routers/journal.py ok 0.0s │ in │ { │ "content": "from fastapi import APIRouter, Request\nfrom fastapi.responses import │ HTMLResponse\n\nfrom app import journal\nfrom app.render import render\n\nrouter = │ APIRouter(prefix=\"/api\", tags=[\"journal\"])\n\n\n@router.get(\"/journal\")\nasync def │ journal_view(\n request: Request,\n level: str = \"all\",\n unit: str = \"\",\n │ search: str = \"\",\n cursor: str = \"\",\n):\n if level not in journal.LEVELS:\n │ level = \"all\"\n lines = 200 if cursor else 100\n error = None\n entries: │ list[dict] = []\n next_cursor = \"\"\n try:\n entries, nc = await │ journal.tail(\n cursor or None, level, unit or None, search or None, lines\n │ )\n next_cursor = nc or \"\"\n entries = entries[-400:]\n except │ (RuntimeError, OSError) as e:\n error = str(e)[:300]\n return HTMLResponse(\n │ render(\n \"journal.html\",\n entries=entries,\n │ next_cursor=next_cursor,\n level=level,\n unit=unit,\n │ search=search,\n error=error,\n )\n )\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/journal.py" │ } │ out Wrote file successfully. │ │ tokens 31 in 1075 out 79748 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:05:45 • assistant • Qwen3.8-27B-Think │ │ Next up is the services router and the plugins router + plugin base + llamacpp plugin. │ │ write /home/mac/Code/dashboard/app/routers/services.py ok 0.0s │ in │ { │ "content": "from fastapi import APIRouter, Form\nfrom fastapi.responses import │ HTMLResponse\n\nfrom app import journal\nfrom app.render import render\nfrom app.systemd │ import units\n\nrouter = APIRouter(prefix=\"/api/services\", │ tags=[\"services\"])\n\n\nasync def _list_fragment(q: str, error: str | None = None) -> │ str:\n unit_list = await units.unit_list()\n if q:\n ql = q.lower()\n │ unit_list = [\n u for u in unit_list if ql in u[\"name\"].lower() or ql in │ u[\"desc\"].lower()\n ]\n state = await units.system_state()\n return │ render(\"services.html\", units=unit_list, state=state, q=q, │ error=error)\n\n\n@router.get(\"\")\nasync def services(q: str = \"\"):\n return │ HTMLResponse(await _list_fragment(q))\n\n\n@router.get(\"/{unit}/detail\")\nasync def │ service_detail(unit: str):\n error = None\n props: dict[str, str] = {}\n log: │ list[dict] = []\n try:\n props = await units.unit_detail(unit)\n except │ (ValueError, RuntimeError) as e:\n error = str(e)[:300]\n if not error:\n │ try:\n log, _ = await journal.tail(None, \"all\", unit, None, 15)\n │ except (RuntimeError, OSError):\n pass\n return │ HTMLResponse(render(\"service_detail.html\", unit=unit, props=props, log=log, │ error=error))\n\n\n@router.post(\"/{unit}/action\")\nasync def service_action(unit: str, │ action: str = Form(...)):\n error = None\n try:\n await │ units.unit_action(unit, action)\n except ValueError as e:\n error = str(e)\n │ except RuntimeError as e:\n error = str(e)[:300]\n return HTMLResponse(await │ _list_fragment(\"\", error=error))\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/services.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/plugins/base.py ok 0.0s │ in │ { │ "content": "from dataclasses import dataclass, field\n\n\n@dataclass\nclass Plugin:\n │ id: str\n title: str\n description: str = \"\"\n poll_seconds: int = 5\n\n │ async def fragment(self) -> str:\n raise NotImplementedError\n\n def │ extra_routes(self):\n return None\n", │ "filePath": "/home/mac/Code/dashboard/app/plugins/base.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "content": "import httpx\nfrom fastapi import APIRouter, Form\nfrom fastapi.responses │ import HTMLResponse\n\nfrom app.config import get_settings\nfrom app.plugins.base import │ Plugin\nfrom app.render import render\n\nrouter = │ APIRouter(prefix=\"/api/plugins/llamacpp\", tags=[\"plugins\"])\n\n\ndef │ _headers(settings) -> dict:\n h = {}\n if settings.llama_api_key:\n │ h[\"Authorization\"] = f\"Bearer {settings.llama_api_key}\"\n return h\n\n\nasync def │ _client() -> httpx.AsyncClient:\n settings = get_settings()\n return │ httpx.AsyncClient(\n base_url=settings.llama_base_url.rstrip(\"/\"),\n │ timeout=settings.llama_timeout,\n headers=_headers(settings),\n )\n\n\nasync def │ gather_status() -> dict:\n \"\"\"Query the llama-server router. Never raises; returns │ status dict.\"\"\"\n settings = get_settings()\n status = {\n \"base_url\": │ settings.llama_base_url,\n \"reachable\": False,\n \"health\": None,\n │ \"models\": [],\n \"error\": None,\n }\n try:\n async with await │ _client() as client:\n try:\n r = await │ client.get(\"/health\")\n status[\"health\"] = (await │ r.json()).get(\"status\") if r.status_code == 200 else f\"http {r.status_code}\"\n │ except httpx.HTTPError:\n pass\n status[\"reachable\"] = True\n │ r = await client.get(\"/models\")\n r.raise_for_status()\n data = │ r.json()\n for m in data.get(\"data\", []):\n st = │ m.get(\"status\") or {}\n item = {\n \"id\": │ m.get(\"id\", \"?\"),\n \"state\": st.get(\"value\", \"unknown\"),\n │ \"failed\": bool(st.get(\"failed\")),\n \"exit_code\": │ st.get(\"exit_code\"),\n \"path\": m.get(\"path\", \"\"),\n │ }\n prog = st.get(\"progress\") or {}\n if │ … [2931 more chars] │ out Wrote file successfully. │ │ tokens 41 in 1818 out 80853 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:06:37 • assistant • Qwen3.8-27B-Think │ │ Wait, there's a problem with llamacpp.py: the Plugin instance doesn't have a fragment that │ renders via the generic endpoint. The routers/plugins.py endpoint `/{pid}/fragment` calls │ `p.fragment()`, which raises NotImplementedError. Instead, let's have the plugins router route │ to the plugin's own fragment endpoint. The simplest way: in plugins/__init__.py, map plugin id → │ a fragment coroutine. Let's restructure: │ │ - app/plugins/__init__.py: │ ```python │ from app.plugins.base import Plugin │ from app.plugins import llamacpp │ │ PLUGINS: list[Plugin] = [llamacpp.plugin] │ │ FRAGMENTS = { │ "llamacpp": llamacpp._fragment, │ } │ ``` │ Hmm, a cleaner way: give each plugin a `fragment` function. Plugin is a dataclass, so let's │ allow passing a fragment callable: │ │ ```python │ @dataclass │ class Plugin: │ id: str │ title: str │ description: str = "" │ poll_seconds: int = 5 │ fragment_fn: callable | None = None │ │ async def fragment(self): │ if self.fragment_fn: │ return await self.fragment_fn() │ raise NotImplementedError │ ``` │ │ And llamacpp: `plugin = Plugin(id=..., fragment_fn=_fragment)`. │ │ But wait — the plugins/{pid}/fragment endpoint calls `p.fragment()`, and for llamacpp it calls │ `_fragment()` with no args — good (the default for message is ""). │ │ Also, `_fragment` is referenced before it's defined at module import time — no problem, since │ it's defined above `plugin = Plugin(...)`. │ │ Let's update base.py and llamacpp.py. │ │ Also, note that in llamacpp's `_action`, `httpx.AsyncClient` is created with `await _client()` — │ wrong! `httpx.AsyncClient` is not an awaitable; `_client()` already returns a client. `async │ with _client() as client:`. Let's fix both occurrences. │ │ After that, write the plugins router, plugins/__init__, app/__init__, app/main.py, and the root │ main.py. │ │ write /home/mac/Code/dashboard/app/plugins/base.py ok 0.0s │ in │ { │ "content": "from collections.abc import Awaitable, Callable\nfrom dataclasses import │ dataclass, field\n\n\n@dataclass\nclass Plugin:\n id: str\n title: str\n │ description: str = \"\"\n poll_seconds: int = 5\n fragment_fn: Callable[[], │ Awaitable[str]] | None = field(default=None)\n\n async def fragment(self) -> str:\n │ if self.fragment_fn is None:\n raise NotImplementedError\n return await │ self.fragment_fn()\n", │ "filePath": "/home/mac/Code/dashboard/app/plugins/base.py" │ } │ out Wrote file successfully. │ edit /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py", │ "oldString": "async def _client() -> httpx.AsyncClient:\n settings = get_settings()\n │ return httpx.AsyncClient(\n base_url=settings.llama_base_url.rstrip(\"/\"),\n │ timeout=settings.llama_timeout,\n headers=_headers(settings),\n )", │ "newString": "def _client() -> httpx.AsyncClient:\n settings = get_settings()\n │ return httpx.AsyncClient(\n base_url=settings.llama_base_url.rstrip(\"/\"),\n │ timeout=settings.llama_timeout,\n headers=_headers(settings),\n )" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py", │ "oldString": " try:\n async with await _client() as client:\n try:\n │ r = await client.get(\"/health\")", │ "newString": " try:\n async with _client() as client:\n try:\n │ r = await client.get(\"/health\")" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py", │ "oldString": " try:\n async with await _client() as client:\n r = │ await client.post(endpoint, json={\"model\": model})", │ "newString": " try:\n async with _client() as client:\n r = await │ client.post(endpoint, json={\"model\": model})" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py", │ "oldString": " settings = get_settings()\n try:\n async with await _client() │ as client:\n r = await client.get(\"/models\", params={\"reload\": \"1\"})", │ "newString": " try:\n async with _client() as client:\n r = await │ client.get(\"/models\", params={\"reload\": \"1\"})" │ } │ out Edit applied successfully. │ edit /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py", │ "oldString": "plugin = Plugin(\n id=\"llamacpp\",\n title=\"llama.cpp\",\n │ description=\"Loaded model status for a llama-server in router mode, with load / unload │ controls.\",\n poll_seconds=5,\n)", │ "newString": "plugin = Plugin(\n id=\"llamacpp\",\n title=\"llama.cpp\",\n │ description=\"Loaded model status for a llama-server in router mode, with load / unload │ controls.\",\n poll_seconds=5,\n fragment_fn=_fragment,\n)" │ } │ out Edit applied successfully. │ │ tokens 39 in 1302 out 82713 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:07:16 • assistant • Qwen3.8-27B-Think │ │ In the rescan function of llamacpp.py, there's an unused variable `settings = get_settings()` — │ I removed the reference, but let me verify: in my edit, I removed `settings = get_settings()` │ from rescan (the oldString included it, and the newString didn't). OK. │ │ Next up: the plugins' __init__.py, routers/plugins.py, app/__init__.py, app/main.py, main.py. │ │ write /home/mac/Code/dashboard/app/plugins/__init__.py ok 0.0s │ in │ { │ "content": "from app.plugins.base import Plugin\nfrom app.plugins.llamacpp import plugin │ as llamacpp_plugin, router as llamacpp_router\n\nPLUGINS: list[Plugin] = │ [llamacpp_plugin]\nROUTERS = [llamacpp_router]\n\n__all__ = [\"PLUGINS\", \"ROUTERS\", │ \"Plugin\"]\n", │ "filePath": "/home/mac/Code/dashboard/app/plugins/__init__.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/routers/plugins.py ok 0.0s │ in │ { │ "content": "from fastapi import APIRouter\nfrom fastapi.responses import │ HTMLResponse\n\nfrom app.plugins import PLUGINS\nfrom app.render import render\n\nrouter = │ APIRouter(prefix=\"/api/plugins\", tags=[\"plugins\"])\n\n\n@router.get(\"\")\nasync def │ plugins_index():\n return HTMLResponse(render(\"plugins.html\", │ plugins=PLUGINS))\n\n\n@router.get(\"/{pid}/fragment\")\nasync def plugin_fragment(pid: │ str):\n plugin = next((p for p in PLUGINS if p.id == pid), None)\n if plugin is │ None:\n return HTMLResponse(\"unknown plugin\", status_code=404)\n return │ HTMLResponse(await plugin.fragment())\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/plugins.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/__init__.py ok 0.0s │ in │ { │ "content": "from app import routers # noqa: F401\n", │ "filePath": "/home/mac/Code/dashboard/app/__init__.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/app/main.py ok 0.0s │ in │ { │ "content": "import asyncio\nfrom contextlib import asynccontextmanager\nfrom pathlib │ import Path\n\nfrom fastapi import FastAPI\nfrom fastapi.responses import │ FileResponse\nfrom fastapi.staticfiles import StaticFiles\n\nfrom app import journal # │ noqa: F401\nfrom app.config import get_settings\nfrom app.plugins import ROUTERS as │ PLUGIN_ROUTERS\nfrom app.render import BASE\nfrom app.routers import disks, journal as │ journal_router, overview, plugins, processes, services\nfrom app.sampling import │ sampler_loop\nfrom app.state import HistoryStore\n\n\n@asynccontextmanager\nasync def │ lifespan(app: FastAPI):\n settings = get_settings()\n app.state.settings = │ settings\n app.state.store = HistoryStore(maxlen=settings.history_maxlen)\n task = │ asyncio.create_task(sampler_loop(app.state.store, settings.sample_interval))\n yield\n │ task.cancel()\n try:\n await task\n except asyncio.CancelledError:\n │ pass\n\n\ndef create_app() -> FastAPI:\n app = FastAPI(title=\"Dashboard\", │ lifespan=lifespan)\n app.mount(\"/static\", StaticFiles(directory=BASE / \"static\"), │ name=\"static\")\n for r in (overview.router, disks.router, processes.router, │ journal_router.router, services.router, plugins.router):\n app.include_router(r)\n │ for r in PLUGIN_ROUTERS:\n app.include_router(r)\n\n @app.get(\"/\", │ include_in_schema=False)\n async def index():\n return FileResponse(BASE / │ \"static\" / \"index.html\")\n\n return app\n\n\napp = create_app()\n", │ "filePath": "/home/mac/Code/dashboard/app/main.py" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/main.py ok 0.0s │ in │ { │ "content": "import uvicorn\n\nfrom app.config import get_settings\n\nif __name__ == │ \"__main__\":\n s = get_settings()\n uvicorn.run(\"app.main:app\", host=s.host, │ port=s.port, log_level=\"warning\")\n", │ "filePath": "/home/mac/Code/dashboard/main.py" │ } │ out Wrote file successfully. │ │ tokens 65 in 923 out 84054 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:07:43 • assistant • Qwen3.8-27B-Think │ │ Next, let's create the routers' __init__.py and the frontend (index.html, style.css, app.js, │ templates). Also, I need to vendor htmx and Chart.js. │ │ Let's create the routers' __init__.py and download the vendor JS libraries. │ │ Now the routers package init and vendored JS libraries. │ │ write /home/mac/Code/dashboard/app/routers/__init__.py ok 0.0s │ in │ { │ "content": "from app.routers import disks, journal, overview, plugins, processes, │ services\n\n__all__ = [\"overview\", \"disks\", \"processes\", \"journal\", \"services\", │ \"plugins\"]\n", │ "filePath": "/home/mac/Code/dashboard/app/routers/__init__.py" │ } │ out Wrote file successfully. │ bash cd /home/mac/Code/dashboard/static/vendor && curl -fsSL -o htmx.min.js https… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard/static/vendor && curl -fsSL -o htmx.min.js │ https://cdn.jsdelivr.net/npm/htmx.org@1.9.12/dist/htmx.min.js && curl -fsSL -o │ chart.umd.min.js https://cdn.jsdelivr.net/npm/chart.js@4.4.1/dist/chart.umd.js && ls -la │ && head -c 60 htmx.min.js; echo; head -c 60 chart.umd.min.js" │ } │ out │ total 252 │ drwxr-xr-x 1 mac mac 54 29. Aug 20:07 . │ drwxr-xr-x 1 mac mac 22 29. Aug 19:57 .. │ -rw-r--r-- 1 mac mac 205125 29. Aug 20:07 chart.umd.min.js │ -rw-r--r-- 1 mac mac 48101 29. Aug 20:07 htmx.min.js │ (function(e,t){if(typeof define==="function"&&define.amd){de │ /*! │ * Chart.js v4.4.1 │ * https://www.chartjs.org │ * (c) 202 │ │ tokens 61 in 292 out 85041 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:07:53 • assistant • Qwen3.8-27B-Think │ │ Both vendor libraries are already downloaded. htmx 1.9.12 — I said htmx 2, but 1.9.12 is stable │ and works fine with the features I need (hx-trigger, hx-swap, hx-confirm, hx-include). Let's use │ 1.9.12 (already downloaded). │ │ Next, the frontend. This is the biggest chunk. Let's design it carefully. │ │ **index.html**: │ ```html │ │ │ │ Dashboard │ │ │

Dashboard

CPU %

Memory

GPU

VRAM

Disk IO

Per-core CPU

│ │ │ │
│ {% macro bar(pct) %}{% if pct is not none %}
{% endif │ %}{% endmacro %} │
CPU
{{ (c.cpu | default(0)) | round(1) }}%
│ {{ bar(c.cpu) }} │
load {{ (c.load1 | default(0)) | round(2) }} / {{ c.cores }} │ cores
Memory
{{ c.mem_used | humanize }} / {{ c.mem_total | │ humanize }}
│ {{ bar(c.mem_pct) }} │
{{ (c.mem_pct | default(0)) | round(0) }}% used
Swap
│ {% if c.swap_total %} │
{{ c.swap_used | humanize }} / {{ c.swap_total │ | humanize }}
│ {{ bar(c.swap_pct) }} │ {% else %} │
none
│ {% endif %} │
GPU
│ {% if c.gpu is not none %} │
{{ c.gpu | round(1) }}%
│ {{ bar(c.gpu) }} │
{{ c.gpu_name }}{% if c.gpu_temp is not none %} · {{ c.gpu_temp | │ round(0) }}°C{% endif %}
│ {% else %} │
{{ c.gpu_name }}
│ {% endif %} │ \n {% macro bar(pct) %}{% if pct is not │ none %}
85 %} hot{% elif pct > 65 %} │ warm{% endif %}\" style=\"width: {{ pct }}%\">
{% endif %}{% endmacro %}\n │
\n
CPU
\n
{{ (c.cpu | default(0)) | round(1) }}%
\n {{ bar(c.cpu) }}\n │
load {{ (c.load1 | default(0)) | round(2) }} · {{ c.cores │ }} cores
\n
\n
\n
Memory
\n
{{ c.mem_used | humanize │ }} / {{ c.mem_total | humanize }}
\n {{ │ bar(c.mem_pct) }}\n
{{ (c.mem_pct | default(0)) | round(0) }}% │ used
\n
\n
\n
Swap
\n │ {% if c.swap_total %}\n
{{ c.swap_used | humanize }} / {{ c.swap_total | humanize }}
\n {{ bar(c.swap_pct) │ }}\n {% else %}\n
none
\n {% endif %}\n │
\n
\n
GPU
\n {% if c.gpu │ is not none %}\n
{{ c.gpu | round(1) }}%
\n {{ │ bar(c.gpu) }}\n
{{ c.gpu_name }}{% if c.gpu_temp is not none │ %} · {{ c.gpu_temp | round(0) }}°C{% endif %}
\n {% else %}\n
\n
{{ c.gpu_name │ }}
\n {% endif %}\n
\n
\n
VRAM
\n {% if c.vram_total %}\n
{{ c.vram_used | humanize }} / {{ c.vram_total │ | humanize }}
\n {{ bar(c.vram_pct │ … [361 more chars] │ out Wrote file successfully. │ write /home/mac/Code/dashboard/templates/disks.html ok 0.0s │ in │ { │ "content": "
\n

Partitions

\n
\n {% │ for p in partitions %}\n
\n
\n │ {{ p.device }}\n {{ p.mount │ }}\n {{ p.fstype }}\n {{ p.used | │ humanize }} / {{ p.total | humanize }} ({{ p.pct | round(0) }}%)\n
\n │
90 %} hot{% elif p.pct > 75 %} │ warm{% endif %}\" style=\"width: {{ p.pct }}%\">
\n
\n {% else %}\n │
no partitions found
\n {% endfor %}\n
\n

Device │ I/O

\n \n \n \n \n \n {% for d in per_disk %}\n │ \n \n \n \n \n \n \n \n \n {% else %}\n │ \n {% endfor %}\n │ \n
DeviceReadWriteRead rateWrite rateReadsWrites
{{ d.device }}{{ │ d.read_bytes | humanize }}{{ d.write_bytes | humanize │ }}{{ d.read_rate | rate }}{{ d.write_rate | rate }}{{ d.reads │ }}{{ d.writes }}
no block devices
\n
\n", │ "filePath": "/home/mac/Code/dashboard/templates/disks.html" │ } │ out Wrote file successfully. │ │ tokens 29 in 9576 out 91652 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:16:19 • assistant • Qwen3.8-27B-Think │ │ The Jinja macro `{% macro bar(pct) %}` is defined inline within the template — this works in │ Jinja (the macro is local to the template). Good. │ │ Next up are processes.html, journal.html, services.html, service_detail.html, plugins.html, │ plugins/llamacpp.html. │ │ write /home/mac/Code/dashboard/templates/processes.html ok 0.0s │ in │ { │ "content": "
\n
showing {{ procs | length }} of {{ total }} processes
\n
\n \n \n \n │ {% for col, label in [(\"pid\", \"PID\"), (\"name\", \"Name\"), (\"user\", \"User\"), │ (\"cpu\", \"CPU%\"), (\"mem_pct\", \"MEM%\"), (\"rss\", \"RSS\"), (\"gpu\", \"GPU\"), │ (\"io_read\", \"IO read\"), (\"io_write\", \"IO write\")] %}\n \n {% endfor %}\n \n │ \n \n {% for p in procs %}\n \n \n \n \n \n \n \n \n \n \n \n │ {% else %}\n \n │ {% endfor %}\n \n
\n │ {{ label }}{% if sort == col %} {{ \"↓\" if order == \"desc\" else \"↑\" │ }}{% endif %}\n
{{ p.pid }}{{ │ p.name }}{{ p.user }}{{ p.cpu | round(1) }}{{ p.mem_pct | │ round(1) }}{{ p.rss | humanize }}{% if p.gpu is not none %}{{ p.gpu }} MB{% else %}{% endif %}{{ p.io_read | │ rate }}{{ p.io_write | rate }}
no processes match
\n
\n
\n", │ "filePath": "/home/mac/Code/dashboard/templates/processes.html" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/templates/journal.html ok 0.0s │ in │ { │ "content": "{% if error %}\n
journalctl: {{ error }}
\n{% endif %}\n{% for e in entries │ %}\n
\n {{ e.stamp }}\n {{ e.ident }}\n {{ e.msg │ }}\n
\n{% endfor %}\n", │ "filePath": "/home/mac/Code/dashboard/templates/journal.html" │ } │ out Wrote file successfully. │ write /home/mac/Code/dashboard/templates/services.html ok 0.0s │ in │ { │ "content": "
\n {% if error │ %}
{{ error }}
{% endif %}\n
system: │ {{ state }} · {{ units | length }} units
\n
\n │ \n \n │ \n │ \n \n {% for u in units %}\n {% set dot = \"dot-dead\" │ %}\n {% if u.sub in (\"running\", \"exited\") and u.active == \"active\" %}{% set │ dot = \"dot-run\" %}{% endif %}\n {% if u.active == \"failed\" %}{% set dot = │ \"dot-failed\" %}{% endif %}\n {% if u.sub in (\"activating\", \"deactivating\", │ \"reloading\") %}{% set dot = \"dot-busy\" %}{% endif %}\n \n │ \n │ \n \n \n
UnitDescriptionEnabledActions
{{ u.name }}{{ u.desc │ }}{{ u.enabled or \"—\" }}\n {% if u.active != \"active\" %}\n \n {% else %}\n \n \n \n \n \n \n \n \n\n
\n
\n
\n │
\n

CPU %

\n

Memory %

\n

GPU %

\n

VRAM

\n

Disk │ I/O

\n

Per-core CPU %

\n │
\n
\n\n
\n
\n
\n\n
\n
b.classList.toggle(\"active\", b.dataset.tab === name));\n │ sections.forEach((s) => s.classList.toggle(\"hidden\", s.id !== \"tab-\" + name));\n │ try {\n localStorage.setItem(\"dash.tab\", name);\n } catch (e) {}\n }\n │ tabBtns.forEach((b) => b.addEventListener(\"click\", () => showTab(b.dataset.tab)));\n │ try {\n const saved = localStorage.getItem(\"dash.tab\");\n if (saved && │ document.getElementById(\"tab-\" + saved)) showTab(saved);\n } catch (e) {}\n\n // │ ---------- helpers ----------\n function fmtBytes(n, digits) {\n if (n == null || │ isNaN(n)) return \"—\";\n if (digits == null) digits = 1;\n const u = [\"B\", │ \"KiB\", \"MiB\", \"GiB\", \"TiB\"];\n let i = 0;\n while (Math.abs(n) >= 1024 && i │ < u.length - 1) {\n n /= 1024;\n i++;\n }\n return n.toFixed(digits) + \" │ \" + u[i];\n }\n\n function fmtTime(ts) {\n const d = new Date(ts * 1000);\n │ return d.toLocaleTimeString([], { hour12: false });\n }\n\n function downsampleIdx(len, │ max) {\n if (len <= max) return null;\n const step = Math.ceil(len / max);\n │ const idx = [];\n for (let i = 0; i < len; i += step) idx.push(i);\n if │ (idx[idx.length - 1] !== len - 1) idx.push(len - 1);\n return idx;\n }\n\n // │ ---------- charts ----------\n const charts = {};\n\n function baseOpts(extra) {\n │ const o = {\n animation: false,\n responsive: true,\n maintainAspectRatio: │ false,\n interaction: { mode: \"index\", intersect: false },\n plugins: { │ legend: { display: false } },\n scales: {\n x: { ticks: { maxTicksLimit: 7, │ maxRotation: 0, color: \"#7d8a9c\" }, grid: { display: false } },\n y: { │ beginAtZero: true, ticks: { color: \"#7d8a9c\" }, gri │ … [6908 more chars] │ out Wrote file successfully. │ │ tokens 30 in 2658 out 108897 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:22:10 • assistant • Qwen3.8-27B-Think │ │ I left a stray `slice` function in app.js that's never used (it references `this.ts`). Let's │ remove it to keep things clean. After that, I'll run the app and verify. │ │ edit /home/mac/Code/dashboard/static/js/app.js ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/static/js/app.js", │ "oldString": " function slice(series) {\n const ts = this.ts;\n const idx = │ downsampleIdx(ts.length, 400);\n const pick = (arr) => (idx ? idx.map((i) => arr[i]) : │ arr);\n this.labels = pick(ts).map(fmtTime);\n return pick;\n }\n\n function │ updateCharts(hist) {", │ "newString": " function updateCharts(hist) {" │ } │ out Edit applied successfully. │ bash cd /home/mac/Code/dashboard && uv run python -c " import app.main from fasta… ok 0.2s │ in │ { │ "command": "cd /home/mac/Code/dashboard && uv run python -c \"\nimport app.main\nfrom │ fastapi.testclient import TestClient\napp = app.main.app\nwith TestClient(app) as c:\n │ r = c.get('/')\n print('index:', r.status_code, len(r.text))\n\"", │ "timeout": 120000 │ } │ out │ Form data requires "python-multipart" to be installed. │ You can install "python-multipart" with: │ │ pip install python-multipart │ │ Traceback (most recent call last): │ File "", line 2, in │ import app.main │ File "/home/mac/Code/dashboard/app/__init__.py", line 1, in │ from app import routers # noqa: F401 │ ^^^^^^^^^^^^^^^^^^^^^^^ │ File "/home/mac/Code/dashboard/app/routers/__init__.py", line 1, in │ from app.routers import disks, journal, overview, plugins, processes, services │ File "/home/mac/Code/dashboard/app/routers/plugins.py", line 4, in │ from app.plugins import PLUGINS │ File "/home/mac/Code/dashboard/app/plugins/__init__.py", line 2, in │ from app.plugins.llamacpp import plugin as llamacpp_plugin, router as llamacpp_router │ File "/home/mac/Code/dashboard/app/plugins/llamacpp.py", line 100, in │ @router.post("/load") │ ~~~~~~~~~~~^^^^^^^^^ │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/fastapi/routing.py", │ line 3004, in decorator │ self.add_api_route( │ ~~~~~~~~~~~~~~~~~~^ │ path, │ ^^^^^ │ ...<23 lines>... │ generate_unique_id_function=generate_unique_id_function, │ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ │ ) │ ^ │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/fastapi/routing.py", │ line 2939, in add_api_route │ route = route_class( │ self.prefix + path, │ ...<27 lines>... │ ), │ ) │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/fastapi/routing.py", │ line 1193, in __init__ │ _populate_api_route_state( │ ~~~~~~~~~~~~~~~~~~~~~~~~~^ │ cast(_APIRouteLike, self), │ ^^^^^^^^^^^^^^^^^^^^^^^^^^ │ ...<26 lines>... │ strict_content_type=strict_content_type, │ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ │ ) │ ^ │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/fastapi/routing.py", │ line 1061, in _populate_api_route_ │ … [1362 more chars] │ │ tokens 19 in 298 out 111586 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:22:22 • assistant • Qwen3.8-27B-Think │ │ The use of the `Form(...)` parameter requires python-multipart. Let's add it as a dependency. │ │ Need `python-multipart` for form endpoints. Adding it: │ │ bash cd /home/mac/Code/dashboard && uv add python-multipart ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && uv add python-multipart" │ } │ out │ Resolved 28 packages in 189ms │ Prepared 1 package in 52ms │ Installed 1 package in 12ms │ + python-multipart==0.0.32 │ │ tokens 955 in 77 out 111902 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:22:30 • assistant • Qwen3.8-27B-Think │ │ The Form() parameter requires python-multipart. Good. Let's run the import test again. │ │ bash cd /home/mac/Code/dashboard && uv run python -c " import app.main from fasta… ok 0.1s │ in │ { │ "command": "cd /home/mac/Code/dashboard && uv run python -c \"\nimport app.main\nfrom │ fastapi.testclient import TestClient\napp = app.main.app\nwith TestClient(app) as c:\n │ for path in │ ['/','/api/overview','/api/disks','/api/processes','/api/journal','/api/services','/api/pl │ ugins','/api/history']:\n r = c.get(path)\n print(path, r.status_code, │ len(r.text))\n\"", │ "timeout": 120000 │ } │ out │ /home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/fastapi/testclient.py:1: │ StarletteDeprecationWarning: Using `httpx` with `starlette.testclient` is deprecated; │ install `httpx2` instead. │ from starlette.testclient import TestClient as TestClient # noqa │ Traceback (most recent call last): │ File "", line 7, in │ r = c.get(path) │ File │ "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/starlette/testclient.py", │ line 483, in get │ return super().get( │ ~~~~~~~~~~~^ │ url, │ ^^^^ │ ...<6 lines>... │ extensions=extensions, │ ^^^^^^^^^^^^^^^^^^^^^^ │ ) │ ^ │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/httpx/_client.py", line │ 1053, in get │ return self.request( │ ~~~~~~~~~~~~^ │ "GET", │ ^^^^^^ │ ...<7 lines>... │ extensions=extensions, │ ^^^^^^^^^^^^^^^^^^^^^^ │ ) │ ^ │ File │ "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/starlette/testclient.py", │ line 455, in request │ return super().request( │ ~~~~~~~~~~~~~~~^ │ method, │ ^^^^^^^ │ ...<11 lines>... │ extensions=extensions, │ ^^^^^^^^^^^^^^^^^^^^^^ │ ) │ ^ │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/httpx/_client.py", line │ 825, in request │ return self.send(request, auth=auth, follow_redirects=follow_redirects) │ ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/httpx/_client.py", line │ 914, in send │ response = self._send_handling_auth( │ request, │ ...<2 lines>... │ history=[], │ ) │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site-packages/httpx/_client.py", line │ 942, in _send_handling_auth │ response = self._send_handling_redirects( │ request, │ follow_redirects=follow_redirects, │ history=history, │ ) │ File "/home/mac/Code/dashboard/.venv/lib/python3.14/site- │ … [5849 more chars] │ │ tokens 59 in 168 out 112934 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:22:37 • assistant • Qwen3.8-27B-Think │ │ The overview endpoint failed: `c.cpu | default(0)` — the problem is that `c.cpu` is explicitly │ `None` (a key that exists with a None value), and Jinja2's `default` filter only kicks in when │ the value is undefined, not when it's None. Since `c` is a dict and `c.cpu` exists as a key with │ a None value, `default(0)` won't replace None. │ │ Fix: use `c.cpu | default(0, true)` — the second argument `true` also makes it default when the │ value is falsy/None. In fact, the signature of the `default` filter is: `default(value, │ default_value=u'', boolean=False)`. Setting `boolean=true` makes it return the default when the │ value is falsy (None, 0, etc.). However, 0 is a legitimate value for CPU... Using `default(0, │ true)` for cpu: if cpu is 0.0 it's falsy → returns 0 anyway. Same result. No problem. │ │ Better approach: handle None on the Python side — in the router, fill missing values with 0? No │ — for GPU I want to distinguish None (no GPU) from 0. │ │ Cleanest way: use `| default(0, true)` for numeric roundings. Let's fix the lines in │ overview.html: │ - `{{ (c.cpu | default(0)) | round(1) }}%` → `{{ (c.cpu | default(0, true)) | round(1) }}%` │ - load1, mem_pct, etc. │ │ In practice, in the template's `bar()` macro: `pct is not none` handles None, so the bar is │ fine. │ │ Also, for `c.mem_used | humanize` when it's None, the humanize filter returns "—". Good. │ │ Let's update overview.html with `default(0, true)` where rounding is needed. │ │ `default` doesn't trigger on explicit `None`. Fixing with the boolean flag: │ │ bash cd /home/mac/Code/dashboard && sed -i 's/| default(0)) | round(/| default(0,… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && sed -i 's/| default(0)) | round(/| default(0, │ true)) | round(/g' templates/overview.html && grep -n \"default\" templates/overview.html" │ } │ out │ 5:
{{ (c.cpu | default(0, true)) | round(1) }}%
│ 7:
load {{ (c.load1 | default(0, true)) | round(2) }} · {{ │ c.cores }} cores
│ 13:
{{ (c.mem_pct | default(0, true)) | round(0) }}% used
│ │ tokens 2250 in 509 out 113162 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:23:07 • assistant • Qwen3.8-27B-Think │ │ The problem is that `c.cpu` is `None` (the sampler hasn't recorded a value yet), and │ `default(0)` doesn't work on `None` unless `true` is specified. I used `default(0, true)`, but │ this treats falsy values (including None) as defaults. Good. │ │ Let me re-test. │ │ bash cd /home/mac/Code/dashboard && uv run python -c " from fastapi.testclient im… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && uv run python -c \"\nfrom fastapi.testclient │ import TestClient\nfrom app.main import app\nwith TestClient(app) as c:\n for path in │ ['/api/overview','/api/disks','/api/processes','/api/journal','/api/services','/api/plugin │ s','/api/history','/api/plugins/llamacpp/fragment']:\n r = c.get(path)\n │ print(path, r.status_code, len(r.text))\n\" 2>&1 | grep -v Deprecation", │ "timeout": 120000 │ } │ out │ from starlette.testclient import TestClient as TestClient # noqa │ /api/overview 200 1040 │ /api/disks 200 5685 │ /api/processes 200 130571 │ /api/journal 200 34062 │ /api/services 200 416420 │ /api/plugins 200 1076 │ /api/history 200 21 │ /api/plugins/llamacpp/fragment 200 576 │ │ tokens 121 in 237 out 115921 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:23:19 • assistant • Qwen3.8-27B-Think │ │ All endpoints return 200. Next, let's verify the actual content to check whether it's rendering │ correctly. Let me take a look at a few fragments: │ 1. /api/overview - check the card content │ 2. /api/journal - check the line format │ 3. /api/services - check a single line │ 4. /api/plugins/llamacpp/fragment - since llama isn't running, it should be in an unreachable │ state │ 5. /api/history - only 21 bytes (empty, because TestClient's lifespan... no wait, lifespan does │ run with TestClient, and the sampler should record after 2 seconds. But my requests were fast. │ Let me wait 5 seconds and then check history again.) │ │ Let's check the content. │ │ All endpoints respond. Let me inspect the actual rendered content: │ │ bash cd /home/mac/Code/dashboard && sleep 5 && uv run python -c " from fastapi.te… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && sleep 5 && uv run python -c \"\nfrom │ fastapi.testclient import TestClient\nfrom app.main import app\nwith TestClient(app) as │ c:\n import time\n time.sleep(5)\n print('=== overview ===')\n │ print(c.get('/api/overview').text[:800])\n print('=== history ===')\n h = │ c.get('/api/history').json()\n print('points:', len(h['ts']), 'keys:', │ list(h['series'].keys()))\n\" 2>&1 | grep -v Deprecation", │ "timeout": 120000 │ } │ out │ from starlette.testclient import TestClient as TestClient # noqa │ === overview === │
│ │
CPU
1.9%
load 0.31 · 16 cores
Memory
3.5 GiB / 15.0 GiB
23.0% used
Swap
│ │
196.0 KiB / 15.0 GiB
&1 | grep -v │ Deprecation", │ "timeout": 120000 │ } │ out │ from starlette.testclient import TestClient as TestClient # noqa │ === journal (first 1200 chars) === │ │ │
19:04:34systemdsystemd-timedated.service: Deactivated successfully.
│ │
19:06:43kwin_waylandCould not load window switcher package │ "org.kde.breeze.desktop" . Falling back to default
│ │
19:06:43kwin_waylandMember visible of the object PlasmaQuick::Dialog overrides a member of │ the base object. Consider renaming it or adding final or override specifier
│ │
│ │
system: running · 452 units
│ │ │ │ │ │ │ │ │ │ │ │ │ ' | head -2; echo \"=== detail ===\"; curl -s │ \"http://127.0.0.1:8501/api/services/dash-test.service/detail\" | head -c 700" │ } │ out │ │ === detail === │

dash-test.service

│ │
state: inactive (dead)
enabled: disabled
main pid: 0
description: Dashboard test unit
restarts: 0
fragment: /etc/systemd/system/dash-test.service

Recent log

│ │
no recent entries
│ │
│ │ tokens 58 in 155 out 125576 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:30:20 • assistant • Qwen3.8-27B-Think │ │ The detail endpoint is working. But the list with q=dash-test only showed the thead row—meaning │ the unit wasn't in the filtered list! grep only found the header row. So the `q` filter returned │ nothing for dash-test. Why? │ │ The list-units output with --all should include dash-test.service (loaded, inactive, dead). Let │ me check: maybe the description is "Dashboard test unit" and the name is dash-test.service. The │ filter checks `ql in u["name"].lower() or ql in u["desc"].lower()`. "dash-test" is contained in │ "dash-test.service" → should match. │ │ Wait, maybe the response is large and grep -oP only matched the first ...... I used │ `head -2` so it should show 2 lines. Only 1 was shown (thead). Hmm, maybe the tbody row for │ dash-test exists but the pattern `(?s).*?` — with grep -oP and (?s), it should find all │ matches (grep finds one match per line, but the whole response might be one line or multiple │ lines). The HTML has newlines between rows, so a that spans multiple lines shouldn't match │ `.*?` on a single line without (?s)... I did put (?s) in the pattern, but grep is │ line-based — (?s) makes `.` match newlines, but grep reads line by line, so it only matches │ within a single line. The tbody row spans multiple lines → no match. So this is a problem with │ my test, not a problem with the app. │ │ Let me verify with a simpler grep: `curl -s "...?q=dash-test" | grep -c "dash-test"`. │ │ bash curl -s "http://127.0.0.1:8501/api/services?q=dash-test" | grep -c "dash-tes… ok 0.0s │ in │ { │ "command": "curl -s \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -c │ \"dash-test\"; curl -s \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -o │ \"dash-test.service\" | head -2" │ } │ out │ 3 │ dash-test.service │ │ tokens 273 in 474 out 125789 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:30:45 • assistant • Qwen3.8-27B-Think │ │ The filter is working — dash-test.service is appearing in the list (3 occurrences: name, hx-get │ URL, hx-post URL... probably). Next, let's test the actions: │ │ 1. start │ 2. confirm running │ 3. enable │ 4. restart │ 5. stop │ 6. disable │ 7. Clean up the unit │ │ Let's execute these with curl POST. │ │ Filter works. Now testing the full action cycle (start → enable → restart → stop → disable): │ │ bash post() { curl -s -X POST -d "action=$1" "http://127.0.0.1:8501/api/services/… ok 8.3s │ in │ { │ "command": "post() { curl -s -X POST -d \"action=$1\" │ \"http://127.0.0.1:8501/api/services/dash-test.service/action\" | grep -oP '(?<=
)[^<]+' | head -1; echo \"[$1] rc=$?\"; }\npost start; sleep 1; systemctl │ is-active dash-test.service\npost enable; systemctl is-enabled dash-test.service\npost │ restart; sleep 1; systemctl is-active dash-test.service\npost stop; sleep 1; systemctl │ is-active dash-test.service\npost disable; systemctl is-enabled dash-test.service\npost │ bogus-action", │ "timeout": 90000 │ } │ out │ [start] rc=0 │ active │ [enable] rc=0 │ enabled │ [restart] rc=0 │ active │ │ │ │ shell tool terminated command after exceeding timeout 90000 ms. If this command is expected │ to take longer and is not waiting for interactive input, retry with a larger timeout value │ in milliseconds. │ │ │ tokens 23 in 283 out 126536 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:32:26 • assistant • Qwen3.8-27B-Think │ │ Progress: start ✓ (active), enable ✓ (enabled), restart ✓ (active). But after that the command │ timed out — the stop action hung! `systemctl stop dash-test.service` should finish │ immediately... unless the dashboard's `_systemctl` first tries a plain `systemctl stop` │ (permission denied?), then tries `sudo systemctl stop` — that should be fast. │ │ Wait, why did stop hang for 90 seconds? Hmm. Possibilities: the first attempt `systemctl stop │ dash-test.service` as user mac — permission denied (immediately), then `sudo systemctl stop` — │ should work. Unless sudo was waiting for a password prompt! But passwordless sudo worked before │ (sudo tee, sudo systemctl daemon-reload). Hmm. │ │ Wait — actually, could the stop action's response have hung because the subprocess was waiting │ for something? Or was it my grep pipeline... `post stop` pipes curl's output to grep; if curl │ never returns (endpoint hangs), the whole thing hangs. │ │ Let me think: `systemctl stop dash-test.service` — the test unit runs /bin/sleep 300. Stop │ should kill it immediately. │ │ Hmm, but actually there might be an issue with asyncio subprocess + sudo: `sudo` might try to │ read from a tty for authentication. Without a tty, it should fail immediately with "a password │ is required". But on this machine it's passwordless. │ │ Or — did the timeout kill happen in the middle of the action? The output shows restart │ succeeded, then `post stop` hung for 90 seconds and the tool killed the session. The kill may │ have also killed the in-progress sudo subprocess. │ │ Let me check the current state: is dash-test active or not? And check /tmp/dash.log for errors. │ Then retry stop with curl verbose + timeout. │ │ start/enable/restart work; `stop` hung. Investigating: │ │ bash systemctl is-active dash-test.service; tail -5 /tmp/dash.log; ss -tln | grep… ok 0.0s │ in │ { │ "command": "systemctl is-active dash-test.service; tail -5 /tmp/dash.log; ss -tln | grep │ 8501 || echo \"SERVER DEAD\"" │ } │ out │ inactive │ LISTEN 0 2048 127.0.0.1:8501 0.0.0.0:* │ │ tokens 92 in 453 out 126841 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:32:48 • assistant • Qwen3.8-27B-Think │ │ Interesting point: dash-test.service is currently inactive — meaning the stop actually did │ happen (or the unit died). The server is alive, and the logs are empty (warnings only). │ │ Why did stop take over 90 seconds? Hmm. One thought: `systemctl stop` on a unit whose process is │ /bin/sleep 300 — it should be fast. But wait: the plain `systemctl stop` as user mac first │ failed with "Access denied" — and then `sudo systemctl stop` ran. Both fast. │ │ No wait, the hang might not have been on the server side. Let me look at the command again: │ `post stop; sleep 1; systemctl is-active dash-test.service; post disable; ...`. What if the POST │ of the stop action itself succeeded, but the grep for `(?<=
)` — there's no │ alert in the response (success) → grep outputs nothing and exits with rc=1... that's fine, it's │ fast. │ │ Hmm, what if the action endpoint's response was hanging because the unit list re-render after │ the action was slow? `systemctl list-units --all` for 452 units + list-unit-files — that's │ usually under a second. │ │ Actually — wait a moment. The restart action left the service in an active state, and then `post │ stop`: `systemctl stop` as plain user → permission denied → sudo systemctl stop. Could `sudo` │ have prompted? If sudo needs a tty... previously `sudo tee` and `sudo systemctl daemon-reload` │ succeeded from this shell. So passwordless is working. │ │ Or, the timeout might have been caused by something else: the tool's 90-second timeout counted │ the entire command including the sleeps. start+enable+restart took some time (each systemctl + │ list-units rendering ~416KB response... the action response re-renders the full 452-unit list = │ 416KB, no problem). │ │ Actually, let me reconsider: the output ended after "[restart] rc=0\nactive" — then `post stop` │ ran. If stop hung, curl waited. The tool killed everything at 90 seconds. The service is now │ inactive — consistent with stop having completed eventually (right before the kill?) or systemd │ having stopped it on its │ … [346 more chars] │ │ The unit is now inactive and the server is healthy — the stop may have just completed slowly. │ Let me retest with explicit timing: │ │ bash systemctl start dash-test.service && sleep 1 && time curl -s -m 30 -X POST -… ok 0.0s │ in │ { │ "command": "systemctl start dash-test.service && sleep 1 && time curl -s -m 30 -X POST -d │ \"action=stop\" \"http://127.0.0.1:8501/api/services/dash-test.service/action\" -o │ /tmp/stopresp.html && systemctl is-active dash-test.service && grep -c alert │ /tmp/stopresp.html", │ "timeout": 60000 │ } │ out │ Failed to start dash-test.service: Access denied │ See system logs and 'systemctl status dash-test.service' for details. │ │ tokens 52 in 715 out 127387 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:33:27 • assistant • Qwen3.8-27B-Think │ │ Interesting! `systemctl start dash-test.service` as user mac fails with "Access denied" — direct │ shell execution. But the dashboard's start action was succeeding before (the unit became │ active). Why? Because the dashboard first tried it as plain, failed, and then fell back to sudo. │ I see. │ │ So the start from the direct shell fails as expected (non-privileged user). Let's use sudo for │ the test setup, and then test the dashboard's stop endpoint with timing measurement. │ │ bash sudo systemctl start dash-test.service && sleep 1 && time curl -s -m 30 -X P… ok 0.0s │ in │ { │ "command": "sudo systemctl start dash-test.service && sleep 1 && time curl -s -m 30 -X │ POST -d \"action=stop\" \"http://127.0.0.1:8501/api/services/dash-test.service/action\" -o │ /tmp/stopresp.html && systemctl is-active dash-test.service; grep -o │ 'class=\"alert\">[^<]*' /tmp/stopresp.html | head -2; echo \"exit ok\"", │ "timeout": 60000 │ } │ out │ │ real 0m8,607s │ user 0m0,007s │ sys 0m0,005s │ inactive │ exit ok │ │ tokens 39 in 243 out 128155 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:33:47 • assistant • Qwen3.8-27B-Think │ │ The stop worked, but it took **8.6 seconds**! This is the cause of the earlier timeout — each │ action that requires a privilege escalation takes about 8–9 seconds. Why? │ │ The plain `systemctl stop` first fails with access denied (fast), and then `sudo systemctl stop` │ runs. Where are the 8.6 seconds disappearing to? Hmm... `sudo` should be instant. │ │ Wait — maybe the first plain `systemctl stop` isn't failing immediately! In the case of │ `systemctl stop` by a non-privileged user: does systemd's dbus return an access denied error... │ or does it "hang" for a while? Actually, in the direct shell test above, `systemctl start` │ failed immediately with "Access denied". │ │ Hmm, so where do the 8.6 seconds come from? Let me break it down: the endpoint runs the action │ and then re-renders the full list (list-units --all + list-unit-files). Maybe one of those is │ slow... but the normal list GET was fast. │ │ No, wait — maybe it's the plain `systemctl stop` via dbus: on Arch, a non-root `systemctl stop` │ might not immediately return an error and could wait for the job to complete... no, that's not │ it. │ │ Let me measure each part: time `sudo systemctl stop` directly, and time the list command. │ │ Stop works but takes 8.6s. Let me find where the time goes: │ │ bash sudo systemctl start dash-test.service; sleep 0.5; echo "--- plain stop as u… ok 0.0s │ in │ { │ "command": "sudo systemctl start dash-test.service; sleep 0.5; echo \"--- plain stop as │ user ---\"; time systemctl stop dash-test.service 2>&1 | head -2; echo \"--- sudo stop │ (already stopped) ---\"; time sudo systemctl stop dash-test.service; echo \"--- list-units │ ---\"; time systemctl list-units --type=service --all --no-legend --plain > /dev/null; │ echo \"--- list-unit-files ---\"; time systemctl list-unit-files --type=service │ --no-legend --plain > /dev/null", │ "timeout": 60000 │ } │ out │ --- plain stop as user --- │ Failed to stop dash-test.service: Access denied │ See system logs and 'systemctl status dash-test.service' for details. │ │ real 0m2,112s │ user 0m0,003s │ sys 0m0,004s │ --- sudo stop (already stopped) --- │ │ real 0m0,031s │ user 0m0,009s │ sys 0m0,014s │ --- list-units --- │ │ real 0m0,009s │ user 0m0,005s │ sys 0m0,002s │ --- list-unit-files --- │ │ real 0m1,268s │ user 0m0,011s │ sys 0m0,001s │ │ tokens 51 in 463 out 128438 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:34:11 • assistant • Qwen3.8-27B-Think │ │ Discovery: │ │ 1. Plain `systemctl stop` as a user takes **2.1 seconds** before failing (systemd takes its time │ to reject permission requests). │ 2. `list-unit-files --type=service` takes **1.27 seconds**. │ │ In other words, one action = plain attempt (2.1 sec) + sudo attempt (fast) + re-rendering │ (list-units 0.01 sec + list-unit-files 1.27 sec) ≈ 3.4 sec. But the measured time was 8.6 sec. │ Hmm, that doesn't fully add up — maybe the sudo attempt also took about 2 sec (sudo's │ environment setup + a separate 2-sec systemd rejection?). Actually, the earlier 8.6 sec: plain │ stop (2.1 sec) + sudo stop while the unit is active (maybe slow — actually stopping the sleep │ unit, about 1 sec) + list-unit-files (1.3 sec) + … still doesn't add up to 8.6. Whatever — the │ main costs are: the 2-sec-per-attempt systemd permission delay and the 1.3-sec list-unit-files. │ │ Improvements: │ 1. **Cache the privilege mode**: once a privileged operation succeeds (or fails as plain due to │ permission), remember that sudo is required. In practice, more simply: detect at startup whether │ the plain `systemctl start/stop` is permitted (test with `systemctl is-system-running`? No, │ that's read-only). A better way: a simple check at startup — run `systemctl show` (read, always │ works)… that doesn't tell us anything about write privileges. │ │ Alternative: try the plain operation once, and if stderr contains "Access denied", set a flag │ `needs_sudo = True` and use sudo directly from then on. This saves 2 sec per action after the │ first action. │ │ 2. **Reduce the cost of re-rendering**: after the action, instead of re-running both list │ commands, re-render only with list-units (0.01 sec) and reuse the cached enabled state (the │ enabled state only changes on enable/disable actions — in which case only re-fetch │ list-unit-files). More simply: cache the list-unit-files results with a TTL of 30 sec, and after │ an enable/disable action invalidate that cache. │ │ Actually, the simplest and most robust approach: after any action, r │ … [1405 more chars] │ │ tokens 199 in 896 out 128953 cached 0 written $0.0000 length │ 2026-08-29 20:35:21 • user │ │ context compacted │ 2026-08-29 20:35:21 • assistant • Qwen3.8-27B-Think @compaction │ │ Let me create a structured summary of this conversation following the template format. │ │ This conversation is about building a computer dashboard + task manager web app using Python/uv, │ FastAPI, htmx, and Chart.js. Let me track the important details. │ │ Key facts: │ - Project directory: /home/mac/Code/dashboard │ - User answers: single machine, no auth, (removed) Sunshine plugin, llama.cpp router mode, │ 1-hour history │ - Tech stack: Python 3.14, uv 0.12, FastAPI, htmx 1.9.12, Chart.js 4.4.1, psutil, jinja2, httpx, │ pydantic-settings, python-multipart │ - Environment: Arch Linux cachyos, systemd 261, AMD GPU (Renoir) sysfs card1, passwordless sudo, │ llama-server is at /usr/bin/llama-server │ - GPU: /sys/class/drm/card1/device/gpu_busy_percent, mem_info_vram_used/total, hwmon5 │ - 16 cores │ │ Let me track the work state: │ │ Completed: │ - uv init, restructure from src layout to flat app/ package │ - pyproject.toml with dependencies │ - app/config.py (Settings, pydantic-settings, DASH_ prefix) │ - app/state.py (HistoryStore) │ - app/collect/{cpu,mem,gpu,disks,procs}.py + __init__.py │ - app/sampling.py (sampler_loop) │ - app/systemd/units.py + __init__.py │ - app/journal.py │ - app/render.py (jinja env + filters: humanize, rate, uptime, pct) │ - app/routers/{overview,disks,processes,journal,services,plugins}.py + __init__.py │ - app/plugins/{base,llamacpp,__init__}.py │ - app/main.py (create_app, lifespan) │ - main.py (entry) │ - app/__init__.py │ - static/index.html, static/css/style.css, static/js/app.js │ - static/vendor/{htmx.min.js, chart.umd.min.js} │ - templates/{overview,disks,processes,journal,services,service_detail,plugins}.html │ - templates/plugins/llamacpp.html │ │ Bugs fixed: │ - journal.py _journalctl argv bug │ - llamacpp await r.json() bug │ - overview default(0) → default(0, true) │ - python-multipart added │ - systemd 261 PRESET column (split None, 2) │ - llamacpp reachable logic │ - history JSON non-numeric filter │ │ Active / currently testing: │ - Server is running via setsid nohup (detached, port 8501) │ - llama-server is ru │ … [4638 more chars] │ │ ## Objective │ - Build a single-host computer dashboard + combined task manager: a FastAPI (Python/uv) backend │ serving a single-page htmx + Chart.js frontend with 6 tabs (Overview, Disks, Processes, Journal, │ Services, Plugins) browsable remotely. │ │ ## Important Details │ - Project dir: `/home/mac/Code/dashboard`. Stack: Python 3.14, uv 0.12, FastAPI 0.141, uvicorn, │ psutil 7.2.2, jinja2, httpx, pydantic-settings, python-multipart. Vendored `htmx.min.js` │ (1.9.12) + `chart.umd.min.js` (4.4.1) under `static/vendor/`. │ - User decisions (confirmed): **single machine** (app runs on target, bind default │ `127.0.0.1:8501`); **no auth** (README must warn); **Sunshine plugin REMOVED** (not installed to │ test); llama.cpp runs in **`llama-server` router mode**; **1-hour in-memory history** at ~2s │ sampling (1800 pts). │ - Plugin framework kept (Tab 6 "Info") so re-adding plugins later is a drop-in module; only │ `llamacpp` plugin currently registered. │ - Env facts: Arch/cachyos, systemd **261** (note: `list-unit-files` has 3 cols incl. PRESET), │ **AMD Renoir iGPU** on `/sys/class/drm/card1/device/` (`gpu_busy_percent`, │ `mem_info_vram_used/total`, `hwmon/hwmon5/temp1_input`), **no NVIDIA**, **16 cores**, │ **passwordless sudo available** (`sudo -n` works), `llama-server` at `/usr/bin/llama-server`, │ `journalctl`/`systemctl list-units` work without sudo. │ - Config via `.env` / `DASH_` prefix (`app/config.py`): `host=127.0.0.1`, `port=8501`, │ `sample_interval=2.0`, `retention_minutes=60`, `llama_base_url=http://127.0.0.1:8080`, │ `llama_api_key=""`, `llama_timeout=4.0`; `history_maxlen = 1800`. │ - htmx pattern: each tab fragment re-declares its container `
`; Journal is the exception (uses │ `hx-swap="beforeend"` append, cursor stored in hidden `#journal-cursor`, JS trims to 500 lines + │ auto-scroll + one-shot error to `#journal-status`). │ - Chart.js polls `GET /api/history` every 2s, downsamples to 400 pts; charts: cpu, mem_pct, gpu, │ vram_used, io (read+write), per-core (cpu_core_0..15). │ - Safety: all subprocess calls list-arg only; systemctl verbs whitelisted to │ start/stop/restart/enable/disable; `UNIT_RE` validates unit names; journal cursor │ regex-validated; privilege actions use `systemctl` then `sudo systemctl` fallback. │ │ ## Work State │ ### Completed │ - Scaffolding: rewrote `pyproject.toml` (deps + `[tool.uv] package=false`), removed `src/`, │ created flat `app/` package + root `main.py`. │ - All backend modules written: `app/config.py`, `app/state.py` (HistoryStore deque), │ `app/sampling.py` (sampler_loop), `app/collect/{cpu,mem,gpu,disks,procs}.py`, │ `app/systemd/units.py`, `app/journal.py` (-o export parser + cursor + sudo fallback), │ `app/render.py` (jinja + `humanize`/`rate`/`uptime`/`pct` filters), │ `app/routers/{overview,disks,processes,journal,services,plugins}.py`, │ `app/plugins/{base,llamacpp,__init__}.py`, `app/main.py` (create_app + lifespan sampler), │ `main.py`. │ - Frontend: `static/index.html` (6 tabs), `static/css/style.css` (dark theme), │ `static/js/app.js` (tabs, charts, journal cursor/trim, process sortlinks, service-name │ keyboard). │ - Templates: `templates/{overview,disks,processes,journal,services,service_detail,plugins}.html` │ + `templates/plugins/llamacpp.html`. │ - Verified all endpoints return 200 via TestClient and live curl: `/`, `/api/overview`, │ `/api/disks`, `/api/processes`, `/api/journal`, `/api/services`, `/api/plugins`, `/api/history`, │ `/api/plugins/llamacpp/fragment`. │ - Bugs fixed: journal `_journalctl` argv ordering; llamacpp `await r.json()` → `r.json()`; │ `default(0)` → `default(0, true)` in overview (None handling); added `python-multipart`; systemd │ 261 PRESET column (`split(None, 2)`); llamacpp `reachable` set only after `/models` success; │ `/api/history` now skips non-numeric series. │ - Live testing: dashboard running detached via `setsid nohup uv run python main.py > │ /tmp/dash.log 2>&1 < /dev/null &` (port 8501, survived session timeout). llama-server started in │ router mode on `127.0.0.1:8080` with `--models-dir /tmp/llama-models` (empty); plugin shows │ reachable + health ok + "no models listed". │ - Created test unit `/etc/systemd/system/dash-test.service` (ExecStart=/bin/sleep 300). Via app │ endpoint: **start ✓ (active), enable ✓ (enabled), restart ✓ (active)** confirmed; `stop` ran │ slowly (tool 90s timeout) but unit is now **inactive**. │ │ ### Active │ - Verifying the remaining service-action cycle on `dash-test.service`: `stop`, `disable`, and │ `bogus-action` (validation) not yet re-confirmed after the timeout interruption. Detail endpoint │ (`/api/services/dash-test.service/detail`) confirmed working. │ - Last command attempted shell-level `systemctl start dash-test.service` (not via the app) → │ `Failed to start dash-test.service: Access denied` (expected: shell user lacks permission; the │ app uses sudo fallback). Need to drive start/stop through the app POST endpoint instead. │ │ ### Blocked │ - No hard blockers. Open concern: the `stop` action POST appeared to hang >90s in one test (unit │ eventually became inactive); worth confirming `stop`/`disable` respond promptly through the app │ endpoint and that the `sudo systemctl` fallback path isn't slow. │ │ ## Next Move │ 1. Re-test full action cycle via the app: `POST /api/services/dash-test.service/action` for │ `start`, then `stop`, `disable`, and an invalid `bogus-action` (expect alert, no crash); verify │ with `systemctl is-active`/`is-enabled`; time each to confirm no hang. │ 2. Clean up test artifacts afterward: remove `/etc/systemd/system/dash-test.service` + │ `daemon-reload`, stop the llama-server, remove `/tmp/llama-models`. │ 3. Finish remaining unverified live tabs in a browser (processes table content, journal │ append/cursor, disks) and then write `README.md` (setup, router-mode launch snippet, security │ warning), `.env.example`, and optional `dashboard.service` systemd unit (last todo, still │ pending). │ │ ## Relevant Files │ - `/home/mac/Code/dashboard/pyproject.toml`: deps + `[tool.uv] package=false`. │ - `/home/mac/Code/dashboard/main.py`: uvicorn entry (`uv run python main.py`). │ - `/home/mac/Code/dashboard/app/main.py`: `create_app()`, lifespan sampler task, static mount, │ router inclusion. │ - `/home/mac/Code/dashboard/app/config.py`: Settings (DASH_* env) + `history_maxlen`. │ - `/home/mac/Code/dashboard/app/systemd/units.py`: `_systemctl` (sudo fallback), `unit_list`, │ `unit_detail`, `unit_action`, `ACTIONS`, `UNIT_RE`. │ - `/home/mac/Code/dashboard/app/journal.py`: `tail()`, `parse_export`, `LEVELS`, cursor/sudo │ fallback. │ - `/home/mac/Code/dashboard/app/plugins/llamacpp.py`: `gather_status`, │ `/load`/`/unload`/`/rescan`, `Plugin` instance. │ - `/home/mac/Code/dashboard/app/routers/services.py`: `POST /{unit}/action` (form `action`), │ detail, list fragment. │ - `/home/mac/Code/dashboard/static/js/app.js`: tabs, Chart.js update loop, journal cursor/trim, │ process sort. │ - `/home/mac/Code/dashboard/templates/plugins/llamacpp.html`: model table + load/unload/rescan │ buttons. │ - `/etc/systemd/system/dash-test.service`: temporary test unit (to be removed). │ - `/tmp/dash.log`, `/tmp/llama.log`, `/tmp/llama-models`: runtime logs / empty models dir. │ │ tokens 92219 in 3824 out 0 cached 0 written $0.0000 stop │ 2026-08-29 20:41:10 • user │ │ continue │ 2026-08-29 20:41:10 • assistant • Qwen3.8-27B-Think │ │ I was in the middle of optimizing the service action latency. The plan is as follows: │ │ 1. Add a `needs_sudo` flag to `app/systemd/units.py` — once a plain `systemctl` privileged │ operation fails with "Access denied", permanently use sudo directly (saves about 2 seconds per │ action). │ 2. Add an enabled-state cache with TTL (30 seconds) to avoid the 1.27-second `list-unit-files` │ on every action/poll. Invalidate the cache after enable/disable actions. │ 3. Re-test the full action cycle via app endpoints with timing measurement. │ 4. Clean up test artifacts. │ 5. Live-verify the remaining tabs. │ 6. Create README.md, .env.example, dashboard.service. │ │ To apply the edits, I'll read the current units.py. │ │ read /home/mac/Code/dashboard/app/systemd/units.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/systemd/units.py" │ } │ out │ /home/mac/Code/dashboard/app/systemd/units.pyfile │ 1: import asyncio │ 2: import re │ 3: │ 4: UNIT_RE = re.compile(r"^[A-Za-z0-9@:_.\-+]+\.(service|socket|timer|target|path|slice)$") │ 5: ACTIONS = ("start", "stop", "restart", "enable", "disable") │ 6: │ 7: _DETAIL_PROPS = ( │ 8: "ActiveState,SubState,LoadState,UnitFileState,Description,MainPID," │ 9: "ExecMainStartTimestamp,NRestarts,FragmentPath,Result" │ 10: ) │ 11: │ 12: │ 13: async def _run(cmd: list[str]) -> tuple[int, str, str]: │ 14: proc = await asyncio.create_subprocess_exec( │ 15: *cmd, │ 16: stdout=asyncio.subprocess.PIPE, │ 17: stderr=asyncio.subprocess.PIPE, │ 18: ) │ 19: out, err = await proc.communicate() │ 20: return proc.returncode or 0, out.decode(errors="replace"), │ err.decode(errors="replace") │ 21: │ 22: │ 23: async def _systemctl(*args: str, privileged: bool = False) -> str: │ 24: cmds = [["systemctl", *args]] │ 25: if privileged: │ 26: cmds.append(["sudo", "systemctl", *args]) │ 27: err = "" │ 28: for cmd in cmds: │ 29: rc, out, err = await _run(cmd) │ 30: if rc == 0: │ 31: return out │ 32: raise RuntimeError(err.strip() or f"systemctl {' '.join(args)} failed") │ 33: │ 34: │ 35: async def unit_list() -> list[dict]: │ 36: out = await _systemctl( │ 37: "list-units", "--type=service", "--all", "--no-legend", "--plain" │ 38: ) │ 39: units: dict[str, dict] = {} │ 40: for line in out.splitlines(): │ 41: parts = line.split(None, 4) │ 42: if len(parts) < 4: │ 43: continue │ 44: name, load, active, sub = parts[0], parts[1], parts[2], parts[3] │ 45: desc = parts[4] if len(parts) > 4 else "" │ 46: units[name] = { │ 47: "name": name, │ 48: "load": load, │ 49: "active": active, │ 50: "sub": sub, │ 51: "desc": desc, │ 52: "enabled": "", │ 53: } │ 54: files = await _systemctl("list-unit-files", "--type=service │ … [1601 more chars] │ │ tokens 13538 in 211 out 0 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:41:32 • assistant • Qwen3.8-27B-Think │ │ Next, I'll apply two optimizations: │ │ 1. A `needs_sudo` flag: if a non-privileged `systemctl` fails with "Access denied", set │ `_needs_sudo = True` and skip the non-privileged attempt thereafter. │ 2. A TTL cache for the `list-unit-files` results (30 seconds), invalidated after enable/disable │ actions. │ │ edit /home/mac/Code/dashboard/app/systemd/units.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/systemd/units.py", │ "oldString": "import asyncio\nimport re\n\nUNIT_RE = │ re.compile(r\"^[A-Za-z0-9@:_.\\-+]+\\.(service|socket|timer|target|path|slice)$\")\nACTION │ S = (\"start\", \"stop\", \"restart\", \"enable\", \"disable\")", │ "newString": "import asyncio\nimport re\nimport time\n\nUNIT_RE = │ re.compile(r\"^[A-Za-z0-9@:_.\\-+]+\\.(service|socket|timer|target|path|slice)$\")\nACTION │ S = (\"start\", \"stop\", \"restart\", \"enable\", \"disable\")\n\n_needs_sudo = │ False\n_enabled_cache: dict[str, str] | None = None\n_enabled_cache_at = 0.0\n_ENABLED_TTL │ = 30.0" │ } │ out Edit applied successfully. │ │ tokens 1224 in 298 out 13749 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:41:40 • assistant • Qwen3.8-27B-Think │ │ Alright, let's update `_systemctl` to use the `_needs_sudo` flag and to detect "Access denied". │ Then let's also add an enabled cache. Let's make the edits. │ │ Main changes: │ 1. `_systemctl`: if `privileged` and `_needs_sudo` is true, try sudo first (or only sudo). After │ an "Access denied" error, set `_needs_sudo = True`. │ 2. Extract the parsing of `list-unit-files` into a cached helper `_enabled_map()`. │ 3. Invalidate the cache in `unit_action` when the action is enable/disable. │ │ Let's rewrite `_systemctl`: │ │ edit /home/mac/Code/dashboard/app/systemd/units.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/systemd/units.py", │ "oldString": "async def _systemctl(*args: str, privileged: bool = False) -> str:\n cmds │ = [[\"systemctl\", *args]]\n if privileged:\n cmds.append([\"sudo\", │ \"systemctl\", *args])\n err = \"\"\n for cmd in cmds:\n rc, out, err = await │ _run(cmd)\n if rc == 0:\n return out\n raise RuntimeError(err.strip() │ or f\"systemctl {' '.join(args)} failed\")", │ "newString": "async def _systemctl(*args: str, privileged: bool = False) -> str:\n │ global _needs_sudo\n if privileged and _needs_sudo:\n cmds = [[\"sudo\", │ \"systemctl\", *args]]\n else:\n cmds = [[\"systemctl\", *args]]\n if │ privileged:\n cmds.append([\"sudo\", \"systemctl\", *args])\n err = \"\"\n │ for cmd in cmds:\n rc, out, err = await _run(cmd)\n if rc == 0:\n │ return out\n if \"access denied\" in err.lower():\n _needs_sudo = True\n │ raise RuntimeError(err.strip() or f\"systemctl {' '.join(args)} failed\")" │ } │ out Edit applied successfully. │ │ tokens 20 in 461 out 15270 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:41:49 • assistant • Qwen3.8-27B-Think │ │ Next, let's add a helper for the enabled cache and use it in unit_list. Replace the inline │ parsing of list-unit-files with a cached call. │ │ Now add the enabled-state cache and wire it into `unit_list`: │ │ edit /home/mac/Code/dashboard/app/systemd/units.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/systemd/units.py", │ "oldString": "async def unit_list() -> list[dict]:\n out = await _systemctl(\n │ \"list-units\", \"--type=service\", \"--all\", \"--no-legend\", \"--plain\"\n )\n │ units: dict[str, dict] = {}\n for line in out.splitlines():\n parts = │ line.split(None, 4)\n if len(parts) < 4:\n continue\n name, load, │ active, sub = parts[0], parts[1], parts[2], parts[3]\n desc = parts[4] if │ len(parts) > 4 else \"\"\n units[name] = {\n \"name\": name,\n │ \"load\": load,\n \"active\": active,\n \"sub\": sub,\n │ \"desc\": desc,\n \"enabled\": \"\",\n }\n files = await │ _systemctl(\"list-unit-files\", \"--type=service\", \"--no-legend\", \"--plain\")\n for │ line in files.splitlines():\n parts = line.split(None, 2)\n if len(parts) < │ 2:\n continue\n state = parts[1].strip()\n u = │ units.get(parts[0])\n if u is not None:\n u[\"enabled\"] = state\n │ else:\n units[parts[0]] = {\n \"name\": parts[0],\n │ \"load\": \"\",\n \"active\": \"inactive\",\n \"sub\": │ \"dead\",\n \"desc\": \"\",\n \"enabled\": state,\n │ }\n return sorted(units.values(), key=lambda u: u[\"name\"])", │ "newString": "async def _enabled_map(force: bool = False) -> dict[str, str]:\n global │ _enabled_cache, _enabled_cache_at\n now = time.monotonic()\n if not force and │ _enabled_cache is not None and now - _enabled_cache_at < _ENABLED_TTL:\n return │ _enabled_cache\n files = await _systemctl(\"list-unit-files\", \"--type=service\", │ \"--no-legend\", \"--plain\")\n m: dict[str, str] = {}\n for line in │ files.splitlines():\n parts = line.split(None, 2)\n if len(parts) < 2:\n │ continue\n m[parts[0]] = parts[1].s │ … [1184 more chars] │ out Edit applied successfully. │ │ tokens 19 in 917 out 15751 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:42:06 • assistant • Qwen3.8-27B-Think │ │ Next, we'll invalidate the enabled cache after enable/disable actions in `unit_action`: │ │ Now invalidate the cache after enable/disable actions: │ │ edit /home/mac/Code/dashboard/app/systemd/units.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/systemd/units.py", │ "oldString": " if action not in ACTIONS:\n raise ValueError(\"invalid │ action\")\n return await _systemctl(action, name, privileged=True)", │ "newString": " if action not in ACTIONS:\n raise ValueError(\"invalid │ action\")\n out = await _systemctl(action, name, privileged=True)\n if action in │ (\"enable\", \"disable\"):\n global _enabled_cache, _enabled_cache_at\n │ _enabled_cache = None\n _enabled_cache_at = 0.0\n return out" │ } │ out Edit applied successfully. │ │ tokens 18 in 192 out 16688 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:42:10 • assistant • Qwen3.8-27B-Think │ │ Let me check the services router to see if it's calling unit_list on every poll (the 5-second │ poll of the service tab). That should now be low cost. I'll also check the journal router and │ other routers. First, let me look at the services router and confirm that the action endpoint │ re-renders the list (which is what was taking 1.27 seconds). │ │ Let me read the services router. │ │ Let me check the services router to confirm the action endpoint re-renders the list (the slow │ path): │ │ read /home/mac/Code/dashboard/app/routers/services.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/routers/services.py" │ } │ out │ /home/mac/Code/dashboard/app/routers/services.pyfile │ 1: from fastapi import APIRouter, Form │ 2: from fastapi.responses import HTMLResponse │ 3: │ 4: from app import journal │ 5: from app.render import render │ 6: from app.systemd import units │ 7: │ 8: router = APIRouter(prefix="/api/services", tags=["services"]) │ 9: │ 10: │ 11: async def _list_fragment(q: str, error: str | None = None) -> str: │ 12: unit_list = await units.unit_list() │ 13: if q: │ 14: ql = q.lower() │ 15: unit_list = [ │ 16: u for u in unit_list if ql in u["name"].lower() or ql in u["desc"].lower() │ 17: ] │ 18: state = await units.system_state() │ 19: return render("services.html", units=unit_list, state=state, q=q, error=error) │ 20: │ 21: │ 22: @router.get("") │ 23: async def services(q: str = ""): │ 24: return HTMLResponse(await _list_fragment(q)) │ 25: │ 26: │ 27: @router.get("/{unit}/detail") │ 28: async def service_detail(unit: str): │ 29: error = None │ 30: props: dict[str, str] = {} │ 31: log: list[dict] = [] │ 32: try: │ 33: props = await units.unit_detail(unit) │ 34: except (ValueError, RuntimeError) as e: │ 35: error = str(e)[:300] │ 36: if not error: │ 37: try: │ 38: log, _ = await journal.tail(None, "all", unit, None, 15) │ 39: except (RuntimeError, OSError): │ 40: pass │ 41: return HTMLResponse(render("service_detail.html", unit=unit, props=props, log=log, │ error=error)) │ 42: │ 43: │ 44: @router.post("/{unit}/action") │ 45: async def service_action(unit: str, action: str = Form(...)): │ 46: error = None │ 47: try: │ 48: await units.unit_action(unit, action) │ 49: except ValueError as e: │ 50: error = str(e) │ 51: except RuntimeError as e: │ 52: error = str(e)[:300] │ 53: return HTMLResponse(await _list_fragment("", error=error)) │ │ (End of file - total 53 lines) │ │ │ tokens 18 in 148 out 16899 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:42:14 • assistant • Qwen3.8-27B-Think │ │ The action endpoint re-renders `_list_fragment("")`, which calls `unit_list()`. Now that the │ enabled cache is in place, this is fast (only `list-units` ~10ms). │ │ Also, `system_state()` calls `is-system-running` every time — fast, no problem. │ │ Now let me restart the server with the new code and re-test the action cycle. The server is │ running under uv. It needs a restart to reflect the changes in units.py. I'll kill the old │ process and start a new one. │ │ First, let me find the running server process. │ │ Action endpoint re-renders via `unit_list()` — now fast thanks to the cache. Restart the server │ to load the changes: │ │ bash pkill -f "uv run python main.py"; sleep 1; setsid nohup uv run python main.p… ERR 30.1s │ in │ { │ "command": "pkill -f \"uv run python main.py\"; sleep 1; setsid nohup uv run python │ main.py > /tmp/dash.log 2>&1 < /dev/null & sleep 3; curl -s -o /dev/null -w \"server up: │ %{http_code}\\n\" http://127.0.0.1:8501/; tail -3 /tmp/dash.log", │ "timeout": 30000 │ } │ err Unknown: ChildProcess.kill (pkill -f "uv run python main.py"; sleep 1; setsid nohup uv run │ python main.py > /tmp/dash.log 2>&1 < /dev/null & sleep 3; curl -s -o /dev/null -w "server up: │ %{http_code}\n" http://127.0.0.1:8501/; tail -3 /tmp/dash.log ) │ │ tokens 646 in 286 out 17064 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:42:52 • assistant • Qwen3.8-27B-Think │ │ Weird error — "Unknown: ChildProcess.kill". It's possible that pkill matched the bash session's │ own process tree, or maybe something strange happened. Let me check whether the server is │ running. │ │ bash sleep 2; curl -s -o /dev/null -w "server: %{http_code}\n" http://127.0.0.1:8… ok 0.0s │ in │ { │ "command": "sleep 2; curl -s -o /dev/null -w \"server: %{http_code}\\n\" │ http://127.0.0.1:8501/ 2>&1; pgrep -af \"python main.py\" | head -5; tail -5 │ /tmp/dash.log", │ "timeout": 20000 │ } │ out │ server: 000 │ 7476 /usr/bin/bash -c sleep 2; curl -s -o /dev/null -w "server: %{http_code}\n" │ http://127.0.0.1:8501/ 2>&1; pgrep -af "python main.py" | head -5; tail -5 /tmp/dash.log │ │ tokens 112 in 152 out 17996 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:42:57 • assistant • Qwen3.8-27B-Think │ │ pkill ended up killing everything (the pattern matched too broadly — it probably matched the │ parent bash session that contained the string "uv run python main.py"). Right now the server │ isn't running. /tmp/dash.log looks empty (tail didn't show anything? The actual output only │ shows the pgrep line, and tail -5 didn't show anything. Maybe the log file got deleted when │ pkill killed the writing process... no wait, that's not it, the file should still be there). │ Let's restart it properly, being careful with pkill — using an exact match pattern. │ │ The pkill pattern matched the session's own shell. Restarting cleanly: │ │ bash setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < /dev/null & disown… ok 0.0s │ in │ { │ "command": "setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < /dev/null & disown; │ sleep 4; curl -s -o /dev/null -w \"server: %{http_code}\\n\" http://127.0.0.1:8501/; tail │ -3 /tmp/dash.log", │ "timeout": 30000, │ "workdir": "/home/mac/Code/dashboard" │ } │ out server: 200 │ │ tokens 99 in 273 out 18260 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:43:08 • assistant • Qwen3.8-27B-Think │ │ Server is running (200). tail didn't show anything (maybe because uv buffers the logs). Next, │ re-test the action cycle with timing: │ │ 1. start (should be fast this time: the first privileged operation tries plain → fails after │ about 2 seconds and sets _needs_sudo; subsequent operations go directly to sudo) │ 2. stop │ 3. enable │ 4. disable │ 5. invalid operation │ │ Since the server is newly started, the first action will pay the 2-second cost for the plain │ attempt. Subsequent actions should be fast. │ │ Server is up. Now time the full action cycle (first action pays the one-time plain-attempt cost; │ subsequent ones should go straight to sudo): │ │ bash U=http://127.0.0.1:8501/api/services/dash-test.service/action echo "--- star… ok 0.0s │ in │ { │ "command": "U=http://127.0.0.1:8501/api/services/dash-test.service/action\necho \"--- │ start (1st, primes sudo detection) ---\"; time curl -s -m 60 -X POST -d \"action=start\" │ $U -o /dev/null\nsystemctl is-active dash-test.service\necho \"--- stop ---\"; time curl │ -s -m 60 -X POST -d \"action=stop\" $U -o /dev/null\nsystemctl is-active │ dash-test.service\necho \"--- enable ---\"; time curl -s -m 60 -X POST -d │ \"action=enable\" $U -o /tmp/e.html\nsystemctl is-enabled dash-test.service; grep -o │ 'class=\"alert[^\"]*\">[^<]*' /tmp/e.html | head -1\necho \"--- disable ---\"; time curl │ -s -m 60 -X POST -d \"action=disable\" $U -o /dev/null\nsystemctl is-enabled │ dash-test.service 2>&1 | head -1\necho \"--- bogus action ---\"; time curl -s -m 10 -X │ POST -d \"action=bogus\" $U -o /tmp/b.html\ngrep -o 'class=\"alert[^\"]*\">[^<]*' │ /tmp/b.html | head -1", │ "timeout": 120000 │ } │ out │ --- start (1st, primes sudo detection) --- │ │ real 0m2,793s │ user 0m0,007s │ sys 0m0,002s │ active │ --- stop --- │ │ real 0m1,430s │ user 0m0,004s │ sys 0m0,006s │ inactive │ --- enable --- │ │ real 0m4,072s │ user 0m0,005s │ sys 0m0,005s │ enabled │ --- disable --- │ │ real 0m4,567s │ user 0m0,006s │ sys 0m0,003s │ disabled │ --- bogus action --- │ │ real 0m0,051s │ user 0m0,007s │ sys 0m0,002s │ class="alert">invalid action │ │ tokens 20 in 475 out 18633 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:43:32 • assistant • Qwen3.8-27B-Think │ │ The action cycle is currently working correctly, and the bogus action is being properly rejected │ too. However, enable/disable is taking 4+ seconds. Why? │ │ - start: 2.8 seconds (one-time plain attempt ~2 seconds + sudo start ~0.5 seconds + rendering) │ - stop: 1.4 seconds (direct sudo + rendering) │ - enable: 4.07 seconds — `sudo systemctl enable` itself can be slow (systemd has to write │ symlinks; can take 1-2 seconds). In addition, after enable we invalidate the cache, so │ `_list_fragment` re-runs `list-unit-files` (1.27 seconds). │ - disable: 4.57 seconds — same thing. │ │ So enable/disable = sudo enable (~1.5-2 seconds) + forced list-unit-files refresh (1.27 seconds) │ + list-units. This is within acceptable range, but the forced cache invalidation adds 1.3 │ seconds. That's fine — since enable/disable are rare operations. │ │ Can we make `sudo systemctl enable` faster? Not really, this is systemd's own speed. │ │ Actually wait — why does `sudo systemctl stop` take ~1.4 seconds? Let me check: earlier `sudo │ systemctl stop` on an already-stopped unit was 0.031 seconds. So stop from active state + │ rendering = 1.4 seconds. sudo stop is probably ~0.5-1 second, rendering ~0.05 seconds... hmm, │ 1.4 seconds is a bit high, but probably fine (job completion wait). │ │ Let me check the actual timing of `sudo systemctl enable`: │ │ Actually, this is good enough. The action works correctly and is reasonably fast. enable/disable │ is 4 seconds due to the forced cache refresh — acceptable for a rarely-used operation. │ │ One more thing to check: the "invalid action" alert is showing up — good, validation is working. │ │ Now, let me re-verify that the services list fragment still displays the enabled state correctly │ (the cache is working), then move on: │ │ 1. Verify that services tab rendering shows enabled/disabled state (quick check of the HTML). │ 2. Clean up test artifacts: dash-test.service, /tmp/llama-models, stop llama-server... wait, do │ I want to keep the llama-server running? The user might want to test the ll │ … [735 more chars] │ │ All actions work — start/stop ~1.5-2.8s, enable/disable ~4s (systemd's own symlink writes + │ forced enabled-state refresh), bogus action rejected with an alert. Now verify the list shows │ enabled states and check the remaining tab fragments: │ │ bash curl -s "http://127.0.0.1:8501/api/services?q=dash-test" | grep -o 'dash-tes… ok 0.0s │ in │ { │ "command": "curl -s \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -o │ 'dash-test[^<]*<[^d]*enabled[^<]*' | head -2; echo \"---\"; curl -s │ \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -c 'svc-row'; echo \"--- │ processes ---\"; curl -s │ \"http://127.0.0.1:8501/api/processes?sort=mem_percent&order=desc\" | grep -o │ 'title=\"[^\"]*\"' | head -4; curl -s \"http://127.0.0.1:8501/api/processes\" | grep -c │ 'proc-row'", │ "timeout": 30000 │ } │ out │ --- │ 0 │ --- processes --- │ title="opencode" │ title="Isolated Web Co" │ title="konsole" │ title="python3" │ 0 │ │ tokens 224 in 943 out 19127 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:43:55 • assistant • Qwen3.8-27B-Think │ │ Hmm, there are two issues with my grep patterns: │ 1. `svc-row` count is 0 — the class name might be different. Let me check the services template │ to see what the actual class/row markup is. │ 2. `proc-row` count is 0 — the class name is probably different here too, but the title │ attribute is showing up (opencode, konsole, etc.), so the process table is definitely rendering. │ │ Let me look at the actual templates to find the correct class names. │ │ Process titles render (opencode, konsole, …) but my grep class names were wrong. Let me check │ the actual markup: │ │ bash grep -o 'class="[^"]*"' templates/services.html templates/processes.html tem… ok 0.0s │ in │ { │ "command": "grep -o 'class=\"[^\"]*\"' templates/services.html templates/processes.html │ templates/journal.html | sort -u | head -20" │ } │ out │ templates/journal.html:class="j-ident" │ templates/journal.html:class="jline{% if e.prio <= 3 %} j-err{% elif e.prio == 4 %} j-warn{% │ endif %}" │ templates/journal.html:class="jline j-error-once" │ templates/journal.html:class="j-msg" │ templates/journal.html:class="j-time" │ templates/journal.html:class="muted" │ templates/processes.html:class="{% if col in │ ('cpu','mem_pct','rss','gpu','io_read','io_write') %}num{% endif %}" │ templates/processes.html:class="mono" │ templates/processes.html:class="muted" │ templates/processes.html:class="muted small" │ templates/processes.html:class="num" │ templates/processes.html:class="panel" │ templates/processes.html:class="pname" │ templates/processes.html:class="sortlink{% if sort == col %} active{% endif %}" │ templates/processes.html:class="table" │ templates/processes.html:class="table-wrap" │ templates/services.html:class="actions" │ templates/services.html:class="alert" │ templates/services.html:class="btn" │ templates/services.html:class="dot {{ dot }}" │ │ tokens 51 in 193 out 20293 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:44:00 • assistant • Qwen3.8-27B-Think │ │ The template uses generic classes (like `tr` rows, etc.). Let's verify by another method — I'll │ count the number of `
` rows in the service and process fragments, and check whether │ dash-test is displayed with its valid state. │ │ bash curl -s "http://127.0.0.1:8501/api/services?q=dash-test" | grep -A2 'dash-te… ok 0.0s │ in │ { │ "command": "curl -s \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -A2 │ 'dash-test' | head -8; echo \"=== total svc tr: $(curl -s │ 'http://127.0.0.1:8501/api/services' | grep -c 'dash-test.service │ │ │ -- │ │ │ │ │ === total svc tr: 454 │ === proc tr: 301 │ === journal: 100 │ === disks: 10 │ │ tokens 273 in 294 out 20537 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:44:08 • assistant • Qwen3.8-27B-Think │ │ Everything is rendering correctly: │ - Service: dash-test.service is displayed with "disabled" state, with action buttons (start, │ enable shown when stopped). 454 service rows. │ - Process: 301 rows. │ - Journal: 100 lines. │ - Disks: 10 rows (probably including partitions). │ │ The action cycle is fully verified. Next up: │ │ 1. Clean up the test unit: remove /etc/systemd/system/dash-test.service and run daemon-reload. │ 2. Keep llama-server running (it's the user's own setup). Keep /tmp/llama-models (it's the │ router's model directory — actually, I created it as an empty directory for testing. The user's │ actual llama-server configuration might be using a different models directory. Hmm. I started │ llama-server myself with --models-dir /tmp/llama-models for testing. If the user has their own │ llama-server setup, they should start it themselves. I should communicate that the currently │ running instance is one I started for testing. For now, leave it running, but make a note of it. │ Actually — let me think. The user was using a router-mode llama-server (per the earlier │ confirmed decision). The one I started is with an empty models directory. Better to leave it │ running so the plugin tab works, and tell the user they can restart it with their real models │ directory. Or stop it and let the user start their own. Hmm — I think it's better to leave it │ running so the dashboard's plugin tab shows reachable, and clearly inform the user about it. │ │ Actually, let me check if the user's own llama-server was running before I started mine. I don't │ remember from the summary — I started it. Leave it running and note it. │ │ 3. Check the journal cursor behavior — verify that the cursor is advancing (second request │ returns new lines with the cursor). │ 4. Write the README.md, .env.example, and dashboard.service. │ │ First let me test the journal cursor, then clean up the test unit, and after that write the │ documentation. │ │ All tabs render (454 services, 301 procs, 100 journal lines, 10 disks). Now verify the journal │ cursor advances, then clean up the test unit: │ │ bash C=$(curl -s "http://127.0.0.1:8501/api/journal" | grep -o 'id="journal-curso… ok 0.0s │ in │ { │ "command": "C=$(curl -s \"http://127.0.0.1:8501/api/journal\" | grep -o │ 'id=\"journal-cursor\"[^>]*value=\"[^\"]*\"' | grep -o 'value=\"[^\"]*\"' | cut -d'\"' │ -f2); echo \"cursor1: ${C:0:40}...\"; sleep 3; curl -s │ \"http://127.0.0.1:8501/api/journal?cursor=$C\" | grep -o │ 'id=\"journal-cursor\"[^>]*value=\"[^\"]*\"' | grep -o 'value=\"[^\"]*\"' | cut -d'\"' -f2 │ | cut -c1-40; echo \"(cursor2 above should differ)\"; echo \"=== cleanup test unit ===\"; │ sudo systemctl disable --now dash-test.service 2>/dev/null; sudo rm │ /etc/systemd/system/dash-test.service && sudo systemctl daemon-reload && echo │ \"dash-test.service removed\"", │ "timeout": 60000 │ } │ out │ cursor1: ... │ (cursor2 above should differ) │ === cleanup test unit === │ dash-test.service removed │ │ tokens 221 in 740 out 21104 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:44:30 • assistant • Qwen3.8-27B-Think │ │ Hmm, cursor1 is empty. My grep pattern didn't match. Let me check how the cursor is rendered in │ journal.html — it might be an input with a different structure, or the attribute order might be │ different. │ │ Cursor grep didn't match — let me check the actual markup: │ │ bash grep -n "cursor" templates/journal.html; echo ---; curl -s "http://127.0.0.1… ok 0.0s │ in │ { │ "command": "grep -n \"cursor\" templates/journal.html; echo ---; curl -s │ \"http://127.0.0.1:8501/api/journal\" | grep -io 'cursor' | head -3; curl -s │ \"http://127.0.0.1:8501/api/journal\" | grep -B1 -A1 'journal-cursor' | head -6", │ "timeout": 30000 │ } │ out │ 5:
│ --- │ cursor │ cursor │ cursor │ │ tokens 38 in 193 out 22064 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:44:35 • assistant • Qwen3.8-27B-Think │ │ The cursor is stored in the `data-cursor` attribute of each `.jline` div, not in a hidden input. │ So the JS should be reading the cursor from the last appended line. Let's check app.js to │ confirm the logic: it should take the data-cursor from the last .jline and use it in the next │ poll. Let me take a quick look at the journal section of app.js. │ │ The cursor lives in `data-cursor` on each line. Let me confirm the JS reads it correctly: │ │ bash grep -n -A12 "journal" static/js/app.js | sed -n '1,40p' ok 0.0s │ in │ { │ "command": "grep -n -A12 \"journal\" static/js/app.js | sed -n '1,40p'" │ } │ out │ 166: // ---------- journal ---------- │ 167: const journalLog = document.getElementById("journal-log"); │ 168: const journalCursor = document.getElementById("journal-cursor"); │ 169: const journalStatus = document.getElementById("journal-status"); │ 170- const MAX_LINES = 500; │ 171- │ 172- document.body.addEventListener("htmx:afterSwap", (e) => { │ 173: if (e.target.id !== "journal-log") return; │ 174- // surface one-shot errors in the status bar instead of the log │ 175: document.querySelectorAll("#journal-log .j-error-once").forEach((el) => { │ 176: journalStatus.textContent = el.textContent.trim(); │ 177- el.remove(); │ 178- }); │ 179- // track cursor from the most recent line │ 180: const lines = journalLog.querySelectorAll(".jline"); │ 181- const last = lines[lines.length - 1]; │ 182: if (last && last.dataset.cursor) journalCursor.value = last.dataset.cursor; │ 183- // trim │ 184- const extra = lines.length - MAX_LINES; │ 185- if (extra > 0) { │ 186- for (let i = 0; i < extra; i++) lines[i].remove(); │ 187- } │ 188- // auto-scroll if user is at the bottom (within 40px) │ 189: const wrap = document.getElementById("journal-logwrap"); │ 190- const atBottom = wrap.scrollHeight - wrap.scrollTop - wrap.clientHeight < 40; │ 191- if (atBottom) wrap.scrollTop = wrap.scrollHeight; │ 192- }); │ 193- │ 194- // reset cursor when the filter form is submitted │ 195: const journalFilters = document.getElementById("journal-filters"); │ 196: journalFilters.addEventListener("submit", () => { │ 197: journalCursor.value = ""; │ 198: journalStatus.textContent = ""; │ 199: journalLog.innerHTML = ""; │ 200- }); │ 201- │ 202- // ---------- process sorting ---------- │ 203- document.body.addEventListener("click", (e) => { │ 204- const link = e.target.closest(".sortlink"); │ 205- if (!link) return; │ │ tokens 66 in 161 out 22296 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:44:39 • assistant • Qwen3.8-27B-Think │ │ Wait a sec — `journalCursor` is a hidden input `#journal-cursor`, and htmx is polling with │ `hx-include="#journal-cursor"`. Let me check the polling setup for journal-log in journal.html — │ is the container div doing `hx-get="/api/journal" hx-include="#journal-cursor" hx-trigger="every │ 2s" hx-swap="beforeend"`? Let me take a look at the top of journal.html. │ │ read /home/mac/Code/dashboard/templates/journal.html ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/templates/journal.html" │ } │ out │ /home/mac/Code/dashboard/templates/journal.htmlfile │ 1: {% if error %} │ 2:
journalctl: {{ error }}
│ 3: {% endif %} │ 4: {% for e in entries %} │ 5:
│ 6: {{ e.stamp }} │ 7: {{ e.ident }} │ 8: {{ e.msg }} │ 9:
│ 10: {% endfor %} │ │ (End of file - total 10 lines) │
│ │ tokens 580 in 133 out 22523 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:44:43 • assistant • Qwen3.8-27B-Think │ │ journal.html is only the appended line fragments. The container with the hx attributes should be │ in index.html. Let me check the journal section of index.html. │ │ bash grep -n -B2 -A8 'journal-log' static/index.html | head -30 ok 0.0s │ in │ { │ "command": "grep -n -B2 -A8 'journal-log' static/index.html | head -30" │ } │ out │ 61- │ 78- │ 79-
UnitDescriptionEnabledActions
server {{ base_url │ }} · health: {{ health or \"unknown\" }}\n {% if message %}
{{ message }}
{% endif %}\n {% if error_msg %}
{{ error_msg }}
{% endif %}", │ "newString": "
server {{ base_url │ }} · health: {{ health or \"unknown\" }}
\n {% if message %}
{{ message }}
{% endif %}\n {% if error_msg %}
{{ error_msg }}
{% endif %}\n {% if error %}
{{ │ error }}
{% endif %}" │ } │ out Edit applied successfully. │ │ tokens 46 in 1038 out 119599 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:25:18 • assistant • Qwen3.8-27B-Think │ │ Alright, let's start the actual server and do a live test using curl and browser-like checks. │ Also, I should test the following: │ 1. Service details endpoint │ 2. Service action endpoints (enable/disable test service, or a harmless action like `systemctl │ enable` on a dummy? No — for testing I shouldn't touch real services. I could create a dummy │ service unit for testing but... that would modify the system. Actually, for testing, `systemctl │ is-system-running` works. For actions, I could try a `start` action on an inactive service │ that's safe to start... risky. Better: test the action endpoint with an invalid action and │ confirm validation works, and test the detail endpoint with a real service (read-only). For │ actual start/stop, I could test with a user service, or just trust the subprocess. │ │ Actually, for real verification: create a trivial test systemd service (temporary unit file in │ /etc/systemd/system, start it, stop it, delete it). This is a real action test. It modifies the │ system temporarily but is harmless. Let me create `dash-test.service` that runs `sleep 1000`. │ Enable it? Enable creates a symlink — disable it later. I think it's acceptable as a test, and │ I'll clean up afterwards. │ │ 3. llama-server: I can actually start llama-server in router mode! /usr/bin/llama-server exists. │ I need a models directory with GGUFs — I don't have any models. But router mode can start even │ without models (the list will just be empty). Start it on port 8080, verify the plugin shows "no │ models", and test rescan (POST /models?reload=1). Even better: check if there are any GGUF files │ on the system (might be in ~/.cache/llama.cpp or /opt/...). Let me check. │ │ So now: │ 1. Start the dashboard server in the background. │ 2. Verify endpoints live with curl. │ 3. Check for GGUF files. │ 4. Start llama-server in router mode (if models are found, specify --models-dir; if not, start │ it plain and test the API). │ 5. Test the plugin endpoints (fragment, rescan). │ 6. Test service actions with a temporary un │ … [35 more chars] │ │ Now let's run the real server and test live. First check for any GGUF models available for llama │ testing: │ │ bash find /home/mac /opt /srv -maxdepth 4 -name "*.gguf" 2>/dev/null | head -5; l… ok 0.0s │ in │ { │ "command": "find /home/mac /opt /srv -maxdepth 4 -name \"*.gguf\" 2>/dev/null | head -5; │ ls ~/.cache/llama.cpp 2>/dev/null; echo done" │ } │ out done │ bash cd /home/mac/Code/dashboard && (uv run python main.py > /tmp/dash.log 2>&1 &… ok 0.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && (uv run python main.py > /tmp/dash.log 2>&1 &) │ && sleep 3 && curl -s -o /dev/null -w \"index: %{http_code}\\n\" http://127.0.0.1:8501/ && │ curl -s http://127.0.0.1:8501/api/overview | head -c 300", │ "timeout": 60000 │ } │ out │ index: 200 │
│ │
CPU
0%
/tmp/llama.log 2>&1 &) && sleep 4 && curl -s │ http://127.0.0.1:8080/health; echo; curl -s http://127.0.0.1:8080/models | head -c 300; │ echo; tail -3 /tmp/llama.log", │ "timeout": 60000 │ } │ out │ {"status":"ok"} │ {"data":[],"object":"list"} │ 0.00.042.762 I srv llama_server: router server is listening on http://127.0.0.1:8080 │ 0.00.042.766 W srv llama_server: NOTE: router mode is experimental │ 0.00.042.767 W srv llama_server: it is not recommended to use this mode in untrusted │ environments │ │ tokens 130 in 373 out 121450 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:26:21 • assistant • Qwen3.8-27B-Think │ │ llama-server is running in router mode, health returns ok, and the model list is empty. Next, │ test the plugin endpoints live: │ 1. GET /api/plugins/llamacpp/fragment — should show reachable, health ok, no models │ 2. GET /api/plugins — should render the llama card with an inline fragment │ 3. POST /api/plugins/llamacpp/rescan — should work │ │ After that, test the service actions with a temporary unit. │ │ bash curl -s http://127.0.0.1:8501/api/plugins/llamacpp/fragment; echo "=== resca… ok 0.0s │ in │ { │ "command": "curl -s http://127.0.0.1:8501/api/plugins/llamacpp/fragment; echo \"=== rescan │ ===\"; curl -s -X POST http://127.0.0.1:8501/api/plugins/llamacpp/rescan | head -c 400" │ } │ out │
│ │
llama-server unreachable at http://127.0.0.1:8080: 'dict' object can't be │ awaited
start it in router mode: llama-server │ --models-dir /path/to/models
│ │
=== rescan === │
│ │
llama-server unreachable at http://127.0.0.1:8080: 'dict' object can't be │ awaited
start it in router mode: llama-server │ --models-dir /path/to/models
│ │
│ │ tokens 126 in 198 out 121953 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:26:29 • assistant • Qwen3.8-27B-Think │ │ "'dict' object can't be awaited" — is this because in gather_status, in the part where we │ process the health response, we're doing `(await r.json()).get("status")`? No, that's not it... │ let me check: in httpx, `r.json()` is a synchronous method and returns a dict. `await r.json()` │ → "dict can't be awaited"? Actually, the error says 'dict' object can't be awaited — that's what │ you get when you `await` a dict. In gather_status, we're doing this: │ │ ```python │ r = await client.get("/health") │ status["health"] = (await r.json()).get("status") if r.status_code == 200 else ... │ ``` │ │ `r.json()` returns a dict (it's a sync method in httpx). `await r.json()` → await on a dict → │ TypeError. That's the bug. In httpx, `client.get` is async, but `response.json()` is a sync │ method. Fix: remove the `await` from `r.json()`. │ │ Classic httpx bug — `response.json()` is sync. Fixing: │ │ edit /home/mac/Code/dashboard/app/plugins/llamacpp.py ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/app/plugins/llamacpp.py", │ "oldString": " status[\"health\"] = (await r.json()).get(\"status\") if │ r.status_code == 200 else f\"http {r.status_code}\"", │ "newString": " status[\"health\"] = r.json().get(\"status\") if │ r.status_code == 200 else f\"http {r.status_code}\"" │ } │ out Edit applied successfully. │ │ tokens 233 in 369 out 122278 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:26:44 • assistant • Qwen3.8-27B-Think │ │ The issue is `await r.json()` — httpx's `response.json()` is a synchronous method and returns a │ dict, so awaiting a dict will fail. Wait, no. Let me confirm. In httpx's async client, │ `r.json()` is synchronous and returns a dict. So `await r.json()` is wrong. Let me remove the │ await. That's exactly what I just did. │ │ Wait, the error message says "'dict' object can't be awaited". So that means `await r.json()` │ was trying to await a dict. Right, removing the await will fix it. │ │ Let me restart the server and test again. │ │ bash cd /home/mac/Code/dashboard && pkill -f "python main.py"; sleep 1; (uv run p… ERR 30.1s │ in │ { │ "command": "cd /home/mac/Code/dashboard && pkill -f \"python main.py\"; sleep 1; (uv run │ python main.py > /tmp/dash.log 2>&1 &) && sleep 3 && curl -s │ http://127.0.0.1:8501/api/plugins/llamacpp/fragment", │ "timeout": 30000 │ } │ err Unknown: ChildProcess.kill (cd /home/mac/Code/dashboard && pkill -f "python main.py"; │ sleep 1; (uv run python main.py > /tmp/dash.log 2>&1 &) && sleep 3 && curl -s │ http://127.0.0.1:8501/api/plugins/llamacpp/fragment ) │ │ tokens 20 in 245 out 122879 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:27:24 • assistant • Qwen3.8-27B-Think │ │ Hmm, "Unknown: ChildProcess.kill" — did pkill kill the shell's own process group? The command │ `pkill -f "python main.py"` matched... Actually, the error indicates that the bash session │ received SIGKILL? Maybe pkill matched the bash command string itself. Since the command line of │ the bash -c invocation contains "python main.py" (the entire command string), pkill -f matched │ the bash process running the command and killed it. │ │ Let's be more careful: use a pattern that doesn't match the shell. For example, `pkill -f "uv │ run python main.py"` won't solve it — the command string still contains it. A better approach: │ match by port. Or save the PID. Let's find the PID with lsof/ss and kill it precisely. │ │ pkill matched the shell's own command line. Let me kill by PID instead: │ │ bash PID=$(ss -tlnp 2>/dev/null | grep :8501 | grep -oP 'pid=\K[0-9]+' | head -1)… ok 0.0s │ in │ { │ "command": "PID=$(ss -tlnp 2>/dev/null | grep :8501 | grep -oP 'pid=\\K[0-9]+' | head -1); │ [ -n \"$PID\" ] && kill $PID && sleep 1; ss -tln | grep 8501 || echo \"port free\"" │ } │ out port free │ │ tokens 93 in 285 out 123143 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:27:36 • assistant • Qwen3.8-27B-Think │ │ pkill ended up killing the shell session itself (the pattern "python main.py" matched the bash │ -c wrapper command that contained that string). The server is currently stopped (port is free). │ Let's use a different approach to launch it: either use setsid, or write a small startup script │ so that pkill doesn't match the shell. │ │ Actually, the problem is that `pkill -f "python main.py"` also matches the bash -c command line │ (which contains "python main.py" as a substring). Let's use a more specific pattern, or kill by │ port. │ │ The port is free now. Let's start the server again and keep the PID around for later. │ │ bash cd /home/mac/Code/dashboard && nohup uv run python main.py > /tmp/dash.log 2… ok 27.0s │ in │ { │ "command": "cd /home/mac/Code/dashboard && nohup uv run python main.py > /tmp/dash.log │ 2>&1 & echo $! > /tmp/dash.pid; sleep 3; curl -s │ http://127.0.0.1:8501/api/plugins/llamacpp/fragment", │ "timeout": 30000 │ } │ out │
│ │
server http://127.0.0.1:8080 · │ health: ok
│ │ │ │ │ │ │ │ │ │ │ │ │
ModelStatus
no models listed (is --models-dir set on the │ server?)
│ │
│ │ │ shell tool terminated command after exceeding timeout 30000 ms. If this command is expected │ to take longer and is not waiting for interactive input, retry with a larger timeout value │ in milliseconds. │ │ │ tokens 18 in 253 out 123520 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:28:16 • assistant • Qwen3.8-27B-Think │ │ The llama.cpp plugin is currently working correctly: reachable, health ok, model not listed. The │ shell "timed out" because the backgrounded nohup kept the session's stdout open — actually, I │ should have redirected to /tmp/dash.log, but... the `&` background job is keeping the shell │ open? The shell tool waits for all child processes. The nohup process inherits... hmm, I did │ redirect stdout/stderr. But the shell tool waits for the process group. Anyway — the server is │ running (I got the curl output). Let me check whether the server is still alive, and test the │ service. │ │ Next, I'll test the service's detail + action endpoints. I'll create a temporary test unit. │ │ The plugin is currently communicating with llama-server (health check OK, empty model list). The │ shell timeout was just because the background job was keeping the session alive — the server is │ up and running. Next, I'll use a disposable test unit to verify the service action: │ │ bash cat > /etc/systemd/system/dash-test.service <<'EOF' [Unit] Description=Dashb… ok 0.0s │ in │ { │ "command": "cat > /etc/systemd/system/dash-test.service │ <<'EOF'\n[Unit]\nDescription=Dashboard test unit\n[Service]\nExecStart=/bin/sleep │ 300\n[Install]\nWantedBy=multi-user.target\nEOF\nsystemctl daemon-reload && curl -s │ \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -A2 \"dash-test\" | head -20" │ } │ out │ /usr/bin/bash: line 1: /etc/systemd/system/dash-test.service: Permission denied │ Reload daemon failed: Method call timed out │ │ tokens 269 in 335 out 123791 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:28:57 • assistant • Qwen3.8-27B-Think │ │ Writing to /etc/systemd/system requires root privileges. Since passwordless sudo is available, │ use `sudo tee`. daemon-reload also timed out — that's because the write failed first. Let's use │ sudo. │ │ bash sudo tee /etc/systemd/system/dash-test.service > /dev/null <<'EOF' [Unit] De… ok 1.6s │ in │ { │ "command": "sudo tee /etc/systemd/system/dash-test.service > /dev/null │ <<'EOF'\n[Unit]\nDescription=Dashboard test unit\n[Service]\nExecStart=/bin/sleep │ 300\n[Install]\nWantedBy=multi-user.target\nEOF\nsudo systemctl daemon-reload && sleep 1 │ && curl -s \"http://127.0.0.1:8501/api/services?q=dash-test\" | grep -B1 -A12 │ \"dash-test\" | head -30", │ "timeout": 60000 │ } │ out (no output) │ │ tokens 45 in 200 out 124394 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:29:07 • assistant • Qwen3.8-27B-Think │ │ No output — grep didn't find anything? Let me check the entire response for that query. │ │ bash curl -s "http://127.0.0.1:8501/api/services?q=dash-test" | head -c 1500 ok 0.0s │ in │ { │ "command": "curl -s \"http://127.0.0.1:8501/api/services?q=dash-test\" | head -c 1500" │ } │ out (no output) │ │ tokens 18 in 83 out 124639 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:29:10 • assistant • Qwen3.8-27B-Think │ │ No output at all? Let me check if the server is still running. │ │ bash ss -tln | grep 8501; cat /tmp/dash.log | tail -20; ps aux | grep -c "[m]ain.… ok 0.0s │ in │ { │ "command": "ss -tln | grep 8501; cat /tmp/dash.log | tail -20; ps aux | grep -c │ \"[m]ain.py\"" │ } │ out 0 │ │ tokens 17 in 79 out 124741 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:29:24 • assistant • Qwen3.8-27B-Think │ │ The server is down, /tmp/dash.log is either empty or doesn't exist, and the ss output doesn't │ show port 8501 either. The earlier "shell tool terminated command after exceeding timeout" — did │ it kill the entire process group including the nohup'd server? In fact, when the bash tool's │ session times out, it sends SIGTERM/SIGKILL to the process group, so it's highly likely that the │ nohup'd child process got killed too. │ │ Let's use `setsid` to detach it properly into a new session, and run the server with a tool that │ doesn't hold onto the shell session. For example: │ │ ``` │ cd /home/mac/Code/dashboard && setsid nohup uv run python main.py > /tmp/dash.log 2>&1 < │ /dev/null & │ ``` │ │ `setsid` creates a new session so it won't be affected by the shell's process group termination. │ Let's also confirm that the command returns immediately. │ │ The server was killed when the shell session timed out. Restarting with `setsid` so it fully │ detaches: │ │ bash cd /home/mac/Code/dashboard && setsid nohup uv run python main.py > /tmp/das… ok 17.1s │ in │ { │ "command": "cd /home/mac/Code/dashboard && setsid nohup uv run python main.py > │ /tmp/dash.log 2>&1 < /dev/null & sleep 3; ss -tln | grep 8501 && curl -s -o /dev/null -w │ \"index: %{http_code}\\n\" http://127.0.0.1:8501/", │ "timeout": 20000 │ } │ out │ LISTEN 0 2048 127.0.0.1:8501 0.0.0.0:* │ index: 200 │ │ │ │ shell tool terminated command after exceeding timeout 20000 ms. If this command is expected │ to take longer and is not waiting for interactive input, retry with a larger timeout value │ in milliseconds. │ │ │ tokens 15 in 363 out 124838 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:29:59 • assistant • Qwen3.8-27B-Think │ │ The server is running (LISTEN on 8501, index 200). The shell tool is still showing a timeout. │ This is because the background process is keeping the pipe open — but the command itself │ succeeded (output was captured). The `setsid ... &` background process should be detached. The │ timeout message is just because the tool is waiting for the session to end. │ │ But wait — the previous server died when the session timed out. Will this one also die when this │ session's timeout kill happens? The output arrived, but then the tool "terminated after │ exceeding the timeout" — this time too, the process group may have been killed. Let me verify in │ a new command whether the server is still alive. │ │ bash sleep 2; ss -tln | grep 8501 && curl -s -o /dev/null -w "alive: %{http_code}… ok 0.0s │ in │ { │ "command": "sleep 2; ss -tln | grep 8501 && curl -s -o /dev/null -w \"alive: │ %{http_code}\\n\" http://127.0.0.1:8501/ || echo \"DEAD\"", │ "timeout": 15000 │ } │ out │ LISTEN 0 2048 127.0.0.1:8501 0.0.0.0:* │ alive: 200 │ │ tokens 110 in 251 out 125215 cached 0 written $0.0000 tool-calls │ 2026-08-29 20:30:12 • assistant • Qwen3.8-27B-Think │ │ the server survived (setsid detached it into its own session). Next, re-test the dash-test │ service: │ │ Server is detached and alive. Testing the service endpoints with the test unit: │ │ bash curl -s "http://127.0.0.1:8501/api/services?q=dash-test" | grep -oP '(?s).*?
UnitDescriptionEnabledActions
disabled
│ 5: │ 6: │ 7: {% for col, label in [("pid", "PID"), ("name", "Name"), ("user", "User"), │ ("cpu", "CPU%"), ("mem_pct", "MEM%"), ("rss", "RSS"), ("gpu", "GPU"), ("io_read", "IO │ read"), ("io_write", "IO write")] %} │ 8: │ 11: {% endfor %} │ 12: │ 13: │ 14: │ 15: {% for p in procs %} │ 16: │ 17: │ 18: │ 19: │ 20: │ 21: │ 22: │ 23: │ 24: │ 25: │ 26: │ 27: {% else %} │ 28: │ 29: {% endfor %} │ 30: │ 31:
│ 9: {{ label }}{% if sort == col %} {{ "↓" if order == "desc" else │ "↑" }}{% endif %} │ 10:
{{ p.pid }}{{ p.name }}{{ p.user }}{{ p.cpu | round(1) }}{{ p.mem_pct | round(1) }}{{ p.rss | humanize }}{% if p.gpu is not none %}{{ p.gpu }} MB{% else %}{% endif %}{{ p.io_read | rate }}{{ p.io_write | rate }}
no processes match
│ 32:
│ 33:
│ │ (End of file - total 33 lines) │ │ read /home/mac/Code/dashboard/templates/disks.html ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/templates/disks.html" │ } │ out │ /home/mac/Code/dashboard/templates/disks.htmlfile │ 1:
│ 2:

Partitions

│ 3:
│ 4: {% for p in partitions %} │ 5:
│ 6:
│ 7: {{ p.device }} │ 8: {{ p.mount }} │ 9: {{ p.fstype }} │ 10: {{ p.used | humanize }} / {{ p.total | humanize }} ({{ p.pct | round(0) │ }}%) │ 11:
│ 12:
│ 13:
│ 14: {% else %} │ 15:
no partitions found
│ 16: {% endfor %} │ 17:
│ 18:

Device I/O

│ 19: │ 20: │ 21: │ 22: │ 23: │ 24: {% for d in per_disk %} │ 25: │ 26: │ 27: │ 28: │ 29: │ 30: │ 31: │ 32: │ 33: │ 34: {% else %} │ 35: │ 36: {% endfor %} │ 37: │ 38:
DeviceReadWriteRead rateWrite rateReadsWrites
{{ d.device }}{{ d.read_bytes | humanize }}{{ d.write_bytes | humanize }}{{ d.read_rate | rate }}{{ d.write_rate | rate }}{{ d.reads }}{{ d.writes }}
no block devices
│ 39:
│ │ (End of file - total 39 lines) │
│ read /home/mac/Code/dashboard/templates/services.html ok 0.0s │ in │ { │ "filePath": "/home/mac/Code/dashboard/templates/services.html" │ } │ out │ /home/mac/Code/dashboard/templates/services.htmlfile │ 1:
│ 2: {% if error %}
{{ error }}
{% endif %} │ 3:
system: {{ state }} · {{ units | length }} units
│ 4:
│ 5: │ 6: │ 7: │ │ 8: │ 9: │ 10: {% for u in units %} │ 11: {% set dot = "dot-dead" %} │ 12: {% if u.sub in ("running", "exited") and u.active == "active" %}{% set dot = │ "dot-run" %}{% endif %} │ 13: {% if u.active == "failed" %}{% set dot = "dot-failed" %}{% endif %} │ 14: {% if u.sub in ("activating", "deactivating", "reloading") %}{% set dot = │ "dot-busy" %}{% endif %} │ 15: │ 16: │ 17: │ 18: │ 19: │ 20:
UnitDescriptionEnabledActions
{{ u.name }}{{ u.desc }}{{ u.enabled or "—" }} │ 21: {% if u.active != "active" %} │ 22: │ 23: {% else %} │ 24: │ 25: │ 16: │ 17: │ 18: │ 19: │ 20: │ 21: │ 22: │ 23:
│ 24:
│ 25:
│ 26:
│ 27:

CPU %

│ 28:

Memory %

│ 29:

GPU %

│ 30:

VRAM

│ 31:

Disk I/O

│ 32:

Per-core CPU %

│ 33:
│ 34:
│ 35: │ 36: │ 39: │ 40: