feat(docker): add LaTeX typesetting stack

Add TeXLive packages for PDF generation from Org-mode and LaTeX documents: - texlive-latex-base: Core LaTeX packages - texlive-latex-extra: Additional LaTeX packages - texlive-fonts-recommended: Recommended fonts - texlive-xetex: XeTeX engine for Unicode support - texlive-science: Science/math packages This is PR 3 of 5 for Docker package additions. Depends on PR #10 and #11.
Add AI model optimizer cron job draft and initial state files
2026-04-29 21:00:05 +00:00 · 2026-04-28 17:19:45 +00:00
18 changed files with 739 additions and 672 deletions
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -5,7 +5,6 @@ This document outlines the development conventions for this NixOS-based infrastr
 ## Build & Deployment

 - **Build/Deploy:** Use `nixos-rebuild switch --flake .#<hostname>` to build and deploy the configuration for a specific host.
- **CRITICAL — Validate before pushing:** Always `nix build --no-link '.#nixosConfigurations.<hostname>.config.system.build.toplevel'` (or `nh os build`) and confirm it succeeds before pushing any changes. Never push untested NixOS configs.
 - **Development Shell:** Activate the development environment with `nix develop`.

 ## Linting & Formatting
--- a/assets/ai-optimizer/CRON_EXECUTION_PROMPT.md
+++ b/assets/ai-optimizer/CRON_EXECUTION_PROMPT.md
@@ -0,0 +1,203 @@
+# AI Model Optimization Cron Job - EXECUTION PROMPT
+
+**When this cron runs, follow these instructions exactly:**
+
+---
+
+## Your Role
+
+You are an AI model optimization agent. Your task is to find the best ollama/llama.cpp configuration for maximum context size and hardware utilization.
+
+**Hardware:**
+- 2× AMD MI50 GPUs (32GB VRAM each, 64GB total)
+- 128GB system RAM
+- ROCm: HSA_OVERRIDE_GFX_VERSION=9.0.6, HIP_VISIBLE_DEVICES=0,1
+
+---
+
+## File Locations
+
+```
+STATE: /opt/data/infra/assets/ai-optimizer/state.json
+RESULTS: /opt/data/infra/assets/ai-optimizer/results.csv
+INFRA_REPO: /opt/data/infra
+```
+
+---
+
+## Model Queues
+
+### GPU Track (Coding - prioritize speed + context on GPU)
+1. `devstral-small-2:24b`
+2. `qwen2.5-coder:32b`
+3. `codellama:34b-instruct`
+
+### RAM Track (Knowledge - prioritize max context)
+1. `qwen2.5:72b`
+2. `nemotron-3-nano:30b`
+3. `mixtral:8x7b-instruct`
+
+---
+
+## Context Steps (in order)
+```
+[32768, 65536, 98304, 131072, 163840, 200704, 262144, 327680]
+```
+
+---
+
+## Each Run - Step by Step
+
+### 1. Read State
+```bash
+cd /opt/data/infra
+cat assets/ai-optimizer/state.json
+```
+
+### 2. Determine Next Test
+- Read `track` (gpu or ram)
+- Read `current_model` from queue at `model_index`
+- Read `current_config` for parameters to test
+- Select next context step from `context_steps` based on `phase`
+
+### 3. Pull Model (if needed)
+```bash
+docker exec ollama ollama list | grep -q "<model>" || docker exec ollama ollama pull <model>
+```
+
+### 4. Create Test Modelfile
+```bash
+docker exec ollama bash -c "cat <<EOF > /root/.ollama/test_${model}.modelfile
+FROM ${model}
+PARAMETER num_ctx ${current_config.num_ctx}
+PARAMETER num_gpu ${current_config.num_gpu}
+PARAMETER flash_attn ${current_config.flash_attn}
+PARAMETER num_predict 4096
+PARAMETER num_keep 1024
+PARAMETER repeat_penalty 1.1
+EOF"
+
+docker exec ollama ollama create test-model -f /root/.ollama/test_${model}.modelfile
+```
+
+### 5. Run Benchmark
+```bash
+# Warm up
+docker exec ollama ollama run test-model "Hello" > /dev/null
+
+# Coding prompt
+START=$(date +%s%N)
+docker exec ollama ollama run test-model "Write a Python async context manager that retries a function with exponential backoff, max 5 retries, and logs each attempt using structlog. Include type hints."
+END=$(date +%s%N)
+
+# Calculate tokens/sec from output
+```
+
+### 6. Measure VRAM (if possible)
+```bash
+# Try host first
+rocm-smi --showmeminfo vram 2>/dev/null || \
+# Try via docker
+docker exec --privileged ollama rocm-smi --showmeminfo vram 2>/dev/null || \
+# Fallback
+echo "VRAM measurement unavailable"
+```
+
+### 7. Record Results
+- Parse tokens/sec from ollama output
+- Record VRAM/RAM usage
+- Determine if this is best config so far for this model
+- Update `best_configs` if tokens/sec improved or context increased
+
+### 8. Update State
+```python
+# Logic:
+if test_successful:
+    if context_step < max_reached:
+        phase = "context_scaling"
+        current_config.num_ctx = next_context_step
+    else:
+        # Move to next model
+        model_index += 1
+        phase = "context_scaling"
+        current_config.num_ctx = context_steps[0]
+else:
+    # OOM or error - record last good as best
+    best_configs[track][current_model] = last_good_config
+    model_index += 1
+    phase = "context_scaling"
+```
+
+### 9. Commit to Repo
+```bash
+cd /opt/data/infra
+git add assets/ai-optimizer/
+git commit -m "ai-optimizer: tested ${model} at ${num_ctx} ctx - ${status}"
+git push origin master
+```
+
+### 10. Matrix Notification (if available)
+```python
+import os
+if os.getenv("MATRIX_HOME_SERVER") and os.getenv("MATRIX_ACCESS_TOKEN"):
+    # Send notification to Matrix room
+    # Room ID from env or config
+    pass
+# Else: silent
+```
+
+---
+
+## Stop Conditions
+
+1. All models in both queues have `best_configs` recorded
+2. Manual intervention needed (error in state.json `error` field)
+3. No progress for 3 consecutive runs (stuck)
+
+---
+
+## Error Handling
+
+If any step fails:
+1. Log error to state.json: `"error": {"message": "...", "timestamp": "..."}`
+2. Do NOT increment model_index (retry next run)
+3. Commit state with error field
+4. Exit gracefully
+
+---
+
+## Important Notes
+
+- **No num_parallel**: Do not use this parameter
+- **Two tracks**: Complete GPU track first, then RAM track
+- **Backend**: Start with ollama, llama.cpp testing is optional (requires uncommenting in compose.yml)
+- **Host access**: Some commands need host - use docker exec or SSH if available
+- **Ask before deploy**: If config changes needed in NixOS modules, show diff and wait for user confirmation before `nh os switch`
+
+---
+
+## Example State Transitions
+
+**Start:**
+```json
+{"track": "gpu", "model_index": 0, "current_model": "devstral-small-2:24b", "current_config": {"num_ctx": 32768, ...}}
+```
+
+**After successful test at 32k:**
+```json
+{"track": "gpu", "model_index": 0, "current_model": "devstral-small-2:24b", "current_config": {"num_ctx": 65536, ...}}
+```
+
+**After OOM at 131k:**
+```json
+{
+  "track": "gpu",
+  "model_index": 1,
+  "current_model": "qwen2.5-coder:32b",
+  "best_configs": {
+    "gpu": {
+      "devstral-small-2:24b": {"num_ctx": 98304, "num_gpu": 99, "tokens_per_sec": 11.2}
+    }
+  }
+}
+```
--- a/assets/ai-optimizer/CRON_JOB_DRAFT.md
+++ b/assets/ai-optimizer/CRON_JOB_DRAFT.md
@@ -0,0 +1,283 @@
+# AI Model Optimization Cron Job
+
+**Goal:** Find optimal configurations for maximum context size with full hardware utilization.
+
+**Hardware:**
+- 2× AMD MI50 GPUs (32GB VRAM each, 64GB total)
+- 128GB system RAM
+- ROCm: HSA_OVERRIDE_GFX_VERSION=9.0.6, HIP_VISIBLE_DEVICES=0,1
+
+---
+
+## Model Queue
+
+### GPU-Optimized (Coding - prioritize speed + context on GPU)
+1. `devstral-small-2:24b` - Best coding model
+2. `qwen2.5-coder:32b` - Strong coder, fits on GPU+offload
+3. `codellama:34b-instruct` - Legacy but solid
+
+### RAM-Optimized (Knowledge - prioritize max context, accept slower)
+1. `qwen2.5:72b` - Best knowledge, needs heavy offload
+2. `nemotron-3-nano:30b` - Good general knowledge
+3. `mixtral:8x7b-instruct` - MoE, efficient for knowledge
+
+---
+
+## Optimization Strategy
+
+**Two separate tracks:**
+
+### Track A: GPU-Focused (Coding)
+```
+Baseline: num_ctx=32768, num_gpu=99, flash_attn=true
+Steps:
+1. Increase context: 32k → 65k → 98k → 131k → 163k
+2. At each step, verify VRAM usage < 60GB (leave headroom)
+3. If OOM: reduce num_gpu until stable, record best
+4. Measure tokens/sec - if < 5 tok/s, consider context too high
+```
+
+### Track B: RAM-Focused (Knowledge)
+```
+Baseline: num_ctx=65536, num_gpu=50, flash_attn=true
+Steps:
+1. Increase context: 65k → 131k → 200k → 262k → 327k
+2. Allow heavy RAM offload (system RAM up to 100GB)
+3. If OOM: reduce context or num_gpu
+4. Speed less critical - focus on max stable context
+```
+
+---
+
+## Backend-Specific Configs
+
+### Ollama (Modelfile parameters)
+```
+PARAMETER num_ctx <value>
+PARAMETER num_gpu <layers>
+PARAMETER flash_attn true/false
+PARAMETER num_predict 4096
+PARAMETER num_keep 1024
+PARAMETER repeat_penalty 1.1
+```
+
+### Llama.cpp (CLI flags)
+```
+--ctx-size <value>
+--n-gpu-layers <layers>
+--flash-attn on/off
+--n-predict 4096
+--batch-size 4096
+--ubatch-size 512
+--cache-type-k f16
+--cache-type-v f16
+--split-mode layer
+--no-mmap
+```
+
+---
+
+## Host Test Instructions
+
+**The cron runs inside the hermes container. Some tests require host access:**
+
+### 1. VRAM Monitoring (HOST)
+```bash
+# Run on host to check VRAM usage during/after benchmark
+sudo rocm-smi --showmeminfo vram
+
+# Or via docker exec if rocm-smi available in container
+docker exec --privileged ollama rocm-smi --showmeminfo vram
+```
+
+### 2. Running Ollama Benchmarks (CONTAINER)
+```bash
+# Pull model
+docker exec ollama ollama pull <model>
+
+# Create custom modelfile
+docker exec ollama bash -c 'cat <<EOF > /root/.ollama/test.modelfile
+FROM <model>
+PARAMETER num_ctx 65536
+PARAMETER num_gpu 99
+PARAMETER flash_attn true
+EOF'
+
+# Create model from modelfile
+docker exec ollama ollama create test-model -f /root/.ollama/test.modelfile
+
+# Run benchmark (warm model first)
+docker exec ollama ollama run test-model "Write a Python async context manager with exponential backoff"
+
+# Cleanup
+docker exec ollama ollama rm test-model
+```
+
+### 3. Running Llama.cpp Benchmarks (CONTAINER - needs llama.cpp container)
+```bash
+# Uncomment llama_cpp_devstral in compose.yml first
+# Then rebuild: sudo nh os switch --flake .#lazyworkhorse
+
+# Test via HTTP API
+curl http://localhost:8300/v1/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "devstral-2-small-llama_cpp",
+    "prompt": "Write a Python function",
+    "max_tokens": 100
+  }'
+```
+
+### 4. Deploying Changes (HOST via ai-worker)
+```bash
+# After optimization, commit results
+cd /home/ai-worker/infra
+git add assets/ai-optimizer/
+git commit -m "ai-optimizer: new best config for <model>"
+git push
+
+# If config changes needed in ollama_init_custom_models.nix:
+# 1. Edit the file
+# 2. nixpkgs-fmt .
+# 3. Show diff to user
+# 4. Wait for confirmation
+# 5. sudo nh os switch --flake .#lazyworkhorse
+```
+
+### 5. Accessing Host from Hermes Container
+```bash
+# SSH to host as ai-worker (key should be mounted)
+ssh -i /path/to/key ai-worker@host.docker.internal
+
+# Or via docker socket if mounted
+# (not recommended for security)
+```
+
+---
+
+## Benchmark Prompts
+
+### Coding (Track A)
+```
+"Write a Python async context manager that retries a function with exponential backoff, max 5 retries, and logs each attempt using structlog. Include type hints and error handling."
+```
+
+### Knowledge (Track B)
+```
+"Explain the complete memory hierarchy in modern GPUs, from registers through L1/L2 caches to VRAM, and how data moves between them during matrix multiplication. Include bandwidth considerations for each level."
+```
+
+### Measurement
+- Tokens per second (generation speed)
+- Time to first token (latency)
+- VRAM usage (via rocm-smi)
+- System RAM usage (via free -h)
+- Context success (did it complete without OOM?)
+
+---
+
+## State File Structure
+
+`/opt/data/infra/assets/ai-optimizer/state.json`
+
+```json
+{
+  "track": "gpu",
+  "current_model": "devstral-small-2:24b",
+  "model_index": 0,
+  "phase": "context_scaling",
+  "backend": "ollama",
+  "current_config": {
+    "num_ctx": 65536,
+    "num_gpu": 99,
+    "flash_attn": true
+  },
+  "best_configs": {
+    "gpu": {
+      "devstral-small-2:24b": {
+        "backend": "ollama",
+        "num_ctx": 131072,
+        "num_gpu": 99,
+        "flash_attn": true,
+        "tokens_per_sec": 12.5,
+        "vram_used_gb": 58.2,
+        "tested_at": "2026-04-28T17:00:00Z"
+      }
+    },
+    "ram": {}
+  },
+  "completed_models": [],
+  "gpu_queue": ["devstral-small-2:24b", "qwen2.5-coder:32b", "codellama:34b-instruct"],
+  "ram_queue": ["qwen2.5:72b", "nemotron-3-nano:30b", "mixtral:8x7b-instruct"]
+}
+```
+
+---
+
+## Results CSV
+
+`/opt/data/infra/assets/ai-optimizer/results.csv`
+
+```csv
+timestamp,track,model,backend,phase,num_ctx,num_gpu,flash_attn,tokens_per_sec,vram_gb,ram_gb,status,is_best
+2026-04-28T17:00:00Z,gpu,devstral-small-2:24b,ollama,context_scaling,65536,99,true,15.2,52.1,18.4,success,false
+```
+
+---
+
+## Cron Job Flow
+
+```
+1. Read state.json
+2. If both queues empty → STOP (all models tested)
+3. Select next model from current track queue
+4. Pull model if needed (docker exec ollama ollama pull)
+5. Create Modelfile / llama.cpp config with current test params
+6. Run benchmark (both prompts)
+7. Measure: tokens/sec, VRAM (rocm-smi), RAM (free -h)
+8. If successful:
+   - Increase context (next step)
+   - Update current_config in state
+9. If OOM/error:
+   - Record last good config as best_configs[track][model]
+   - Move to next model in queue
+10. Update state.json
+11. Append to results.csv
+12. Git commit + push to /opt/data/infra
+13. Send Matrix notification if available, else silent
+```
+
+---
+
+## Matrix Notification (Optional)
+
+```python
+# If matrix credentials available in environment
+if os.getenv("MATRIX_HOME_SERVER") and os.getenv("MATRIX_ACCESS_TOKEN"):
+    # Send completion notification
+    # Room: !ai-optimizer:lazyworkhorse.net (or similar)
+    pass
+# Else: silent, just commit
+```
+
+---
+
+## Files to Create
+
+```
+/opt/data/infra/assets/ai-optimizer/
+├── state.json           # Current progress
+├── results.csv          # All test results
+├── best_configs.json    # Final best configs (human-readable)
+└── CRON_JOB_DRAFT.md    # This file
+```
+
+---
+
+## Notes
+
+- **No num_parallel**: Removed to avoid limiting other settings
+- **Two tracks**: GPU (coding/speed) vs RAM (knowledge/context)
+- **Both backends**: Test ollama first, then llama.cpp if available
+- **Host tests**: rocm-smi must run on host or privileged container
+- **Deploy**: ai-worker has sudo for nh/nixos-rebuild, must ask user first
--- a/assets/ai-optimizer/results.csv
+++ b/assets/ai-optimizer/results.csv
@@ -0,0 +1 @@
+timestamp,track,model,backend,phase,num_ctx,num_gpu,flash_attn,tokens_per_sec,vram_gb,ram_gb,status,is_best
--- a/assets/ai-optimizer/state.json
+++ b/assets/ai-optimizer/state.json
@@ -0,0 +1,21 @@
+{
+  "track": "gpu",
+  "current_model": "devstral-small-2:24b",
+  "model_index": 0,
+  "phase": "context_scaling",
+  "backend": "ollama",
+  "current_config": {
+    "num_ctx": 32768,
+    "num_gpu": 99,
+    "flash_attn": true
+  },
+  "best_configs": {
+    "gpu": {},
+    "ram": {}
+  },
+  "completed_models": [],
+  "gpu_queue": ["devstral-small-2:24b", "qwen2.5-coder:32b", "codellama:34b-instruct"],
+  "ram_queue": ["qwen2.5:72b", "nemotron-3-nano:30b", "mixtral:8x7b-instruct"],
+  "context_steps": [32768, 65536, 98304, 131072, 163840, 200704, 262144, 327680],
+  "last_updated": "2026-04-28T17:00:00Z"
+}
--- a/assets/compose
+++ b/assets/compose
--- a/assets/ollama/Dockerfile
+++ b/assets/ollama/Dockerfile
@@ -1,106 +0,0 @@
-# ollama-gfx906/Dockerfile
-#
-# Custom ollama image with ROCm 6.1 + gfx906 (MI50) support.
-# The official ollama/rocm image ships ROCm 7.2 which dropped gfx906.
-# This uses v0.23.2's native CMake build system with AMDGPU_TARGETS including gfx906.
-#
-# Build: docker build -t ollama/ollama:rocm-gfx906 ai/ollama
-
-FROM rocm/dev-ubuntu-22.04:6.1.2-complete AS builder
-
-# Build dependencies (CMake, Ninja, Go)
-ARG CMAKEVERSION=3.31.2
-ARG NINJAVERSION=1.12.1
-ARG GOLANG_VERSION=1.22.0
-
-RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    curl git ccache build-essential pkg-config unzip \
-    && rm -rf /var/lib/apt/lists/*
-
-# Install CMake from official binaries
-RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKEVERSION}/cmake-${CMAKEVERSION}-linux-x86_64.tar.gz \
-    | tar xz -C /usr/local --strip-components 1
-
-# Install Ninja
-RUN curl -fsSL -o /tmp/ninja.zip \
-    https://github.com/ninja-build/ninja/releases/download/v${NINJAVERSION}/ninja-linux.zip \
-    && unzip /tmp/ninja.zip -d /usr/local/bin && rm /tmp/ninja.zip
-
-# Install Go
-RUN curl -fsSL https://go.dev/dl/go${GOLANG_VERSION}.linux-amd64.tar.gz \
-    | tar xz -C /usr/local
-ENV PATH=/usr/local/go/bin:$PATH
-
-ARG OLLAMA_VERSION=v0.23.2
-RUN git clone --depth 1 --branch ${OLLAMA_VERSION} https://github.com/ollama/ollama.git /build
-WORKDIR /build
-
-# ROCm paths
-ENV HIP_PATH=/opt/rocm
-ENV ROCM_PATH=/opt/rocm
-ENV CMAKE_GENERATOR=Ninja
-ENV LDFLAGS=-s
-
-# Step 1: Build CPU backends with GCC (no ROCm preset)
-# Pre-set CMAKE_HIP_COMPILER="" to prevent check_language(HIP) from
-# finding a HIP compiler (it searches /opt/rocm even without PATH).
-# Remove /opt/rocm from PATH to prevent find_program from finding hipcc.
-RUN mkdir -p build-cpu && \
-    PATH=/usr/local/go/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin \
-    cmake -B build-cpu -DCMAKE_BUILD_TYPE=Release \
-      -DCMAKE_HIP_COMPILER="" \
-      -DCMAKE_INSTALL_PREFIX=/build/dist && \
-    cmake --build build-cpu --target ggml-cpu -- -l $(nproc) && \
-    cmake --install build-cpu --component CPU --strip && \
-    echo "=== CPU install ===" && \
-    (find /build/dist/lib/ollama -type f -o -type l 2>&1 | head -20 || echo "empty")
-
-# Step 2: Build HIP backend with ROCm preset + gfx906 target only
-# The ROCm 6 preset enables HIP language detection (enable_language(HIP))
-# which ensures GPU kernels are properly compiled for gfx906.
-# OLLAMA_RUNNER_DIR=rocm from the preset, so HIP goes to lib/ollama/rocm/
-# Need CMAKE_PREFIX_PATH so find_package(hip) finds hip-config.cmake
-# at /opt/rocm/lib/cmake/hip/hip-config.cmake.
-RUN mkdir -p build-hip && \
-    cmake -B build-hip \
-      --preset 'ROCm 6' \
-      -DAMDGPU_TARGETS="gfx906:xnack-" \
-      -DCMAKE_BUILD_TYPE=Release \
-      -DCMAKE_PREFIX_PATH="/opt/rocm" && \
-    cmake --build build-hip --target ggml-hip -- -l $(nproc) && \
-    cmake --install build-hip --component HIP --strip && \
-    echo "=== HIP install ===" && \
-    find /build/dist/lib/ollama -type f -o -type l | head -20
-
-# Step 3: Build Go binary (GCC for CGo linking)
-ENV CGO_ENABLED=1
-RUN go build -trimpath -ldflags="-X=github.com/ollama/ollama/version.Version=${OLLAMA_VERSION}" -o /build/dist/ollama .
-
-# ---------- Runtime image ----------
-FROM ubuntu:24.04
-
-RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    ca-certificates curl libstdc++6 libgomp1 libvulkan1 libopenblas0 \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy ROCm 6.1 runtime libraries
-# These are needed at runtime by ggml-hip via LD_LIBRARY_PATH
-COPY --from=builder /opt/rocm/lib/ /opt/rocm/lib/
-COPY --from=builder /opt/rocm/share/ /opt/rocm/share/
-
-# Copy ollama binary + all backends (CPU + HIP)
-# CPU install:  /build/dist/lib/ollama/libggml-*.so
-# HIP install:  /build/dist/lib/ollama/rocm/libggml-hip.so
-COPY --from=builder /build/dist/ollama /usr/bin/ollama
-COPY --from=builder /build/dist/lib/ollama/ /usr/lib/ollama/
-
-RUN ldconfig
-
-ENV LD_LIBRARY_PATH=/opt/rocm/lib:/usr/lib/ollama/rocm:/usr/lib/ollama
-ENV HSA_OVERRIDE_GFX_VERSION=9.0.6
-ENV HCC_AMDGPU_TARGET=gfx906
-ENV HSA_ENABLE_SDMA=0
-
-EXPOSE 11434
-ENTRYPOINT ["/bin/ollama"]
-CMD ["serve"]
--- a/docker/hermes/Dockerfile
+++ b/docker/hermes/Dockerfile
@@ -0,0 +1,67 @@
+FROM ghcr.io/astral-sh/uv:0.11.6-python3.13-trixie@sha256:b3c543b6c4f23a5f2df22866bd7857e5d304b67a564f4feab6ac22044dde719b AS uv_source
+FROM tianon/gosu:1.19-trixie@sha256:3b176695959c71e123eb390d427efc665eeb561b1540e82679c15e992006b8b9 AS gosu_source
+FROM debian:13.4
+
+# Disable Python stdout buffering to ensure logs are printed immediately
+ENV PYTHONUNBUFFERED=1
+
+# Store Playwright browsers outside the volume mount so the build-time
+# install survives the /opt/data volume overlay at runtime.
+ENV PLAYWRIGHT_BROWSERS_PATH=/opt/hermes/.playwright
+
+# Install system dependencies in one layer, clear APT cache
+# tini reaps orphaned zombie processes (MCP stdio subprocesses, git, bun, etc.)
+# that would otherwise accumulate when hermes runs as PID 1. See #15012.
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        build-essential nodejs npm python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli tini \
+        curl poppler-utils imagemagick \
+        chromium xvfb fonts-noto-color-emoji fonts-unifont fonts-liberation fonts-ipafont-gothic fonts-wqy-zenhei fonts-tlwg-loma-otf fonts-freefont-ttf \
+        libasound2t64 libatk-bridge2.0-0t64 libatk1.0-0t64 libatspi2.0-0t64 libcairo2 libcups2t64 libdbus-1-3 libdrm2 libgbm1 libglib2.0-0t64 libnspr4 libnss3 libpango-1.0-0 libx11-6 libxcb1 libxcomposite1 libxdamage1 libxext6 libxfixes3 libxkbcommon0 libxrandr2 \
+        texlive-latex-base texlive-latex-extra texlive-fonts-recommended texlive-xetex texlive-science && \
+    rm -rf /var/lib/apt/lists/*
+
+# Non-root user for runtime; UID can be overridden via HERMES_UID at runtime
+RUN useradd -u 10000 -m -d /opt/data hermes
+
+COPY --chmod=0755 --from=gosu_source /gosu /usr/local/bin/
+COPY --chmod=0755 --from=uv_source /usr/local/bin/uv /usr/local/bin/uvx /usr/local/bin/
+
+WORKDIR /opt/hermes
+
+# ---------- Layer-cached dependency install ----------
+# Copy only package manifests first so npm install + Playwright are cached
+# unless the lockfiles themselves change.
+COPY package.json package-lock.json ./
+COPY web/package.json web/package-lock.json web/
+
+RUN npm install --prefer-offline --no-audit && \
+    npx playwright install --with-deps chromium --only-shell && \
+    (cd web && npm install --prefer-offline --no-audit) && \
+    npm cache clean --force
+
+# ---------- Source code ----------
+# .dockerignore excludes node_modules, so the installs above survive.
+COPY --chown=hermes:hermes . .
+
+# Build web dashboard (Vite outputs to hermes_cli/web_dist/)
+RUN cd web && npm run build
+
+# ---------- Permissions ----------
+# Make install dir world-readable so any HERMES_UID can read it at runtime.
+# The venv needs to be traversable too.
+USER root
+RUN chmod -R a+rX /opt/hermes
+# Start as root so the entrypoint can usermod/groupmod + gosu.
+# If HERMES_UID is unset, the entrypoint drops to the default hermes user (10000).
+
+# ---------- Python virtualenv ----------
+RUN uv venv && \
+    uv pip install --no-cache-dir -e ".[all]"
+
+# ---------- Runtime ----------
+ENV HERMES_WEB_DIST=/opt/hermes/hermes_cli/web_dist
+ENV HERMES_HOME=/opt/data
+ENV PATH="/opt/data/.local/bin:${PATH}"
+VOLUME [ "/opt/data" ]
+ENTRYPOINT [ "/usr/bin/tini", "-g", "--", "/opt/hermes/docker/entrypoint.sh" ]
--- a/docker/hermes/entrypoint.sh
+++ b/docker/hermes/entrypoint.sh
@@ -0,0 +1,102 @@
+#!/bin/bash
+# Docker/Podman entrypoint: bootstrap config files into the mounted volume, then run hermes.
+set -e
+
+HERMES_HOME="${HERMES_HOME:-/opt/data}"
+INSTALL_DIR="/opt/hermes"
+
+# --- Privilege dropping via gosu ---
+# When started as root (the default for Docker, or fakeroot in rootless Podman),
+# optionally remap the hermes user/group to match host-side ownership, fix volume
+# permissions, then re-exec as hermes.
+if [ "$(id -u)" = "0" ]; then
+    if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "$(id -u hermes)" ]; then
+        echo "Changing hermes UID to $HERMES_UID"
+        usermod -u "$HERMES_UID" hermes
+    fi
+
+    if [ -n "$HERMES_GID" ] && [ "$HERMES_GID" != "$(id -g hermes)" ]; then
+        echo "Changing hermes GID to $HERMES_GID"
+        # -o allows non-unique GID (e.g. macOS GID 20 "staff" may already exist
+        # as "dialout" in the Debian-based container image)
+        groupmod -o -g "$HERMES_GID" hermes 2>/dev/null || true
+    fi
+
+    # Fix ownership of the data volume. When HERMES_UID remaps the hermes user,
+    # files created by previous runs (under the old UID) become inaccessible.
+    # Always chown -R when UID was remapped; otherwise only if top-level is wrong.
+    actual_hermes_uid=$(id -u hermes)
+    needs_chown=false
+    if [ -n "$HERMES_UID" ] && [ "$HERMES_UID" != "10000" ]; then
+        needs_chown=true
+    elif [ "$(stat -c %u "$HERMES_HOME" 2>/dev/null)" != "$actual_hermes_uid" ]; then
+        needs_chown=true
+    fi
+    if [ "$needs_chown" = true ]; then
+        echo "Fixing ownership of $HERMES_HOME to hermes ($actual_hermes_uid)"
+        # In rootless Podman the container's "root" is mapped to an unprivileged
+        # host UID — chown will fail.  That's fine: the volume is already owned
+        # by the mapped user on the host side.
+        chown -R hermes:hermes "$HERMES_HOME" 2>/dev/null || \
+            echo "Warning: chown failed (rootless container?) — continuing anyway"
+    fi
+
+    echo "Dropping root privileges"
+    exec gosu hermes "$0" "$@"
+fi
+
+# --- Running as hermes from here ---
+source "${INSTALL_DIR}/.venv/bin/activate"
+
+# Create essential directory structure.  Cache and platform directories
+# (cache/images, cache/audio, platforms/whatsapp, etc.) are created on
+# demand by the application — don't pre-create them here so new installs
+# get the consolidated layout from get_hermes_dir().
+# The "home/" subdirectory is a per-profile HOME for subprocesses (git,
+# ssh, gh, npm …).  Without it those tools write to /root which is
+# ephemeral and shared across profiles.  See issue #4426.
+mkdir -p "$HERMES_HOME"/{cron,sessions,logs,hooks,memories,skills,skins,plans,workspace,home}
+
+# .env
+if [ ! -f "$HERMES_HOME/.env" ]; then
+    cp "$INSTALL_DIR/.env.example" "$HERMES_HOME/.env"
+fi
+
+# config.yaml
+if [ ! -f "$HERMES_HOME/config.yaml" ]; then
+    cp "$INSTALL_DIR/cli-config.yaml.example" "$HERMES_HOME/config.yaml"
+fi
+
+# Ensure the main config file remains accessible to the hermes runtime user
+# even if it was edited on the host after initial ownership setup.
+if [ -f "$HERMES_HOME/config.yaml" ]; then
+    chown hermes:hermes "$HERMES_HOME/config.yaml"
+    chmod 640 "$HERMES_HOME/config.yaml"
+fi
+
+# SOUL.md
+if [ ! -f "$HERMES_HOME/SOUL.md" ]; then
+    cp "$INSTALL_DIR/docker/SOUL.md" "$HERMES_HOME/SOUL.md"
+fi
+
+# Sync bundled skills (manifest-based so user edits are preserved)
+if [ -d "$INSTALL_DIR/skills" ]; then
+    python3 "$INSTALL_DIR/tools/skills_sync.py"
+fi
+
+# Final exec: two supported invocation patterns.
+#
+#   docker run <image>                 -> exec `hermes` with no args (legacy default)
+#   docker run <image> chat -q "..."   -> exec `hermes chat -q "..."` (legacy wrap)
+#   docker run <image> sleep infinity  -> exec `sleep infinity` directly
+#   docker run <image> bash            -> exec `bash` directly
+#
+# If the first positional arg resolves to an executable on PATH, we assume the
+# caller wants to run it directly (needed by the launcher which runs long-lived
+# `sleep infinity` sandbox containers — see tools/environments/docker.py).
+# Otherwise we treat the args as a hermes subcommand and wrap with `hermes`,
+# preserving the documented `docker run <image> <subcommand>` behavior.
+if [ $# -gt 0 ] && command -v "$1" >/dev/null 2>&1; then
+    exec "$@"
+fi
+exec hermes "$@"
--- a/flake.nix
+++ b/flake.nix
@@ -61,7 +61,6 @@
              ./modules/nixos/services/open_code_server.nix
              ./modules/nixos/services/ollama_init_custom_models.nix
              ./modules/nixos/services/openclaw_node.nix
-              ./modules/nixos/security/ai-worker-restricted.nix
              ./users/gortium.nix
              ./users/ai-worker.nix
            ];
--- a/hosts/lazyworkhorse/configuration.nix
+++ b/hosts/lazyworkhorse/configuration.nix
@@ -36,7 +36,7 @@
    "transparent_hugepage=always" # because mucho ram
  ];
  # 2. Load the specific drivers found by sensors-detect
-  boot.kernelModules = [ "nct6775" "lm96163" "iptable_nat" "iptable_filter" ];
+  boot.kernelModules = [ "nct6775" "lm96163" ];
  # 3. Force the nct6775 driver to recognize the chip if it's stubborn
  boot.extraModprobeConfig = ''
    options nct6775 force_id=0xd280
@@ -49,26 +49,6 @@
  networking.networkmanager.enable = true;  # Easiest to use and most distros use this by default.
  networking.hostId = "deadbeef";

-  # WireGuard VPN client -- always up, connects to wg-easy server
-  # Create age-encrypted secrets before deploying (run on the host):
-  #   echo -n "<private_key>" | agenix -e secrets/wireguard_private_key.age
-  #   echo -n "<preshared_key>" | agenix -e secrets/wireguard_preshared_key.age
-  networking.wireguard.interfaces = {
-    wg0 = {
-      ips = [ "10.8.0.3/24" ];
-      privateKeyFile = config.age.secrets.wireguard_private_key.path;
-      peers = [
-        {
-          publicKey = "rY9zII3AOm8rog2rv02PyA3Bq7zdvTOGkZapfCV1DkE=";
-          presharedKeyFile = config.age.secrets.wireguard_preshared_key.path;
-          allowedIPs = [ "10.8.0.0/24" ];
-          endpoint = "vpn.lazyworkhorse.net:51820";
-          persistentKeepalive = 25;
-        }
-      ];
-    };
-  };
-
  # Set your time zone.
  time.timeZone = "America/Montreal";

@@ -178,7 +158,7 @@
    settings = {
      PasswordAuthentication = false;
      KbdInteractiveAuthentication = false;
-      # Additional hardening settings below in SERVER HARDENING section
+      PermitRootLogin = "prohibit-password"; 
    };
    hostKeys = [
      {
@@ -207,7 +187,6 @@
    ai = {
      path = self + "/assets/compose/ai";
      envFile = config.age.secrets.containers_env.path;
-      ports = [ 22000 ];  # Syncthing TCP sync
    };

    cloudstorage = {
@@ -242,11 +221,6 @@
      path = self + "/assets/compose/homepage";
    };

-    vpn = {
-      path = self + "/assets/compose/vpn";
-      envFile = config.age.secrets.containers_env.path;
-    };
-
    # tak = {
    #   path = self + "/assets/compose/tak";
    # };
@@ -290,20 +264,6 @@
        mode = "0440";
        path = "/run/secrets/openclaw_gateway_token";
      };
-      wireguard_private_key = {
-        file = ../../secrets/wireguard_private_key.age;
-        owner = "root";
-        group = "root";
-        mode = "0400";
-        path = "/run/secrets/wireguard_private_key";
-      };
-      wireguard_preshared_key = {
-        file = ../../secrets/wireguard_preshared_key.age;
-        owner = "root";
-        group = "root";
-        mode = "0400";
-        path = "/run/secrets/wireguard_preshared_key";
-      };
    };
  };

@@ -348,203 +308,6 @@
  # Or disable the firewall altogether.
  # networking.firewall.enable = false;

-  # =============================================================================
-  # SERVER HARDENING - Firewall, Fail2ban, SSH, Kernel
-  # =============================================================================
-  
-  # Firewall - default deny, explicit allow
-  networking.firewall = {
-    # Enable firewall with default deny policy (NixOS firewall denies all by default)
-    enable = true;
-    allowPing = true;
-    
-    # Only essential ports exposed to internet
-    allowedTCPPorts = [
-      2424  # SSH (non-standard port)
-      2222  # Gitea (version control)
-      80    # HTTP (Traefik redirect)
-      443   # HTTPS (Traefik)
-      # 8000  # Portainer - REVIEW: internal only?
-      # 4242  # Coms - REVIEW: internal only?
-      # 5000  # TAK API - REVIEW: internal only?
-      # 8087  # TAK Connect - REVIEW: internal only?
-      # 8089  # TAK Management - REVIEW: internal only?
-    ];
-    
-    allowedUDPPorts = [
-      51820 # WireGuard VPN
-    ];
-    
-    # Rate limiting and attack prevention
-    extraCommands = ''
-      # 1. Wipe the INPUT chain clean at the start of every activation
-      iptables -F INPUT
-      
-      # Rate limit SSH connections (max 20 new connections per 60 seconds)
-      iptables -A INPUT -p tcp --dport 2424 -m state --state NEW -m recent --set
-      iptables -A INPUT -p tcp --dport 2424 -m state --state NEW -m recent --update --seconds 60 --hitcount 20 -j DROP
-      
-      # Rate limit HTTP/HTTPS (protects Traefik)
-      iptables -A INPUT -p tcp --dport 80 -m state --state NEW -m limit --limit 25/minute --limit-burst 100 -j ACCEPT
-      iptables -A INPUT -p tcp --dport 443 -m state --state NEW -m limit --limit 25/minute --limit-burst 100 -j ACCEPT
-      
-      # Drop invalid packets
-      iptables -A INPUT -m state --state INVALID -j DROP
-      
-      # Log dropped packets (rate limited)
-      iptables -A INPUT -m limit --limit 5/min -j LOG --log-prefix "IPTables-Dropped: " --log-level 4
-
-      # 3. CRITICAL: Re-link the NixOS default firewall chain
-      # Without this line, the 'allowedTCPPorts' in your Nix config will be ignored!
-      iptables -A INPUT -j nixos-fw
-    '';
-  };
-
-  # Fail2ban - automatic IP banning
-  services.fail2ban = {
-    enable = true;
-    maxretry = 3;
-    bantime = "1h";
-    banaction = "iptables-multiport";
-    
-    jails = {
-      # SSH brute force protection (uses systemd journal backend)
-      sshd = {
-        enabled = true;
-        settings = {
-          filter = "sshd";
-          port = "2424";
-          maxretry = 3;
-          bantime = "1h";
-        };
-      };
-      
-      # Recidive - ban repeat offenders for 1 week
-      recidive = {
-        enabled = true;
-        settings = {
-          filter = "recidive";
-          logpath = "/var/log/fail2ban.log";
-          bantime = "1w";
-          findtime = "1d";
-          maxretry = 3;
-        };
-      };
-      
-      # HTTP authentication failures (Traefik)
-      http-auth = {
-        enabled = true;
-        settings = {
-          filter = "traefik-auth";
-          port = "80,443";
-          logpath = "/var/log/traefik/access.log";
-          maxretry = 5;
-          bantime = "1h";
-        };
-      };
-      
-      # HTTP scanning/attacks (Traefik)
-      http-botsearch = {
-        enabled = true;
-        settings = {
-          filter = "traefik-botsearch";
-          port = "80,443";
-          logpath = "/var/log/traefik/access.log";
-          maxretry = 2;
-          bantime = "2h";
-        };
-      };
-    };
-  };
-  
-  # Custom fail2ban filters for Traefik
-  environment.etc."fail2ban/filter.d/traefik-auth.conf".text = ''
-    [Definition]
-    failregex = ^<HOST> -.*"(GET|POST|HEAD|PUT|DELETE).*" (401|403) \d+.*$
-    ignoreregex =
-  '';
-  
-  environment.etc."fail2ban/filter.d/traefik-botsearch.conf".text = ''
-    [Definition]
-    failregex = ^<HOST> -.*"(GET|POST|HEAD|PUT|DELETE).*" 404 \d+.*$
-                ^<HOST> -.*"(GET|POST|HEAD|PUT|DELETE).*/(\.|wp-|php|admin|login|xmlrpc|\.env|\.git|\.aws|\.azure).*" \d+.*$
-    ignoreregex =
-  '';
-
-  # SSH hardening
-  services.openssh.settings = {
-    PermitRootLogin = "no";
-    MaxAuthTries = 3;
-    MaxSessions = 20;
-    LoginGraceTime = 30;
-    ClientAliveInterval = 300;
-    ClientAliveCountMax = 2;
-    PermitEmptyPasswords = "no";
-    ChallengeResponseAuthentication = "no";
-    UsePAM = true;
-    LogLevel = "VERBOSE";
-    X11Forwarding = false;
-    AllowTcpForwarding = "no";
-    AllowAgentForwarding = "no";
-    PermitTunnel = "no";
-  };
-
-  # Kernel network hardening
-  boot.kernel.sysctl = {
-    # IP Spoofing protection
-    "net.ipv4.conf.all.rp_filter" = 1;
-    "net.ipv4.conf.default.rp_filter" = 1;
-    
-    # Ignore ICMP broadcasts
-    "net.ipv4.icmp_echo_ignore_broadcasts" = 1;
-    
-    # Disable source routing
-    "net.ipv4.conf.all.accept_source_route" = 0;
-    "net.ipv4.conf.default.accept_source_route" = 0;
-    "net.ipv6.conf.all.accept_source_route" = 0;
-    "net.ipv6.conf.default.accept_source_route" = 0;
-    
-    # Disable redirects
-    "net.ipv4.conf.all.send_redirects" = 0;
-    "net.ipv4.conf.default.send_redirects" = 0;
-    
-    # SYN flood protection
-    "net.ipv4.tcp_syncookies" = 1;
-    "net.ipv4.tcp_max_syn_backlog" = 2048;
-    "net.ipv4.tcp_synack_retries" = 2;
-    "net.ipv4.tcp_syn_retries" = 5;
-    
-    # Log martian packets
-    "net.ipv4.conf.all.log_martians" = 1;
-    "net.ipv4.conf.default.log_martians" = 1;
-    
-    # Ignore redirects
-    "net.ipv4.conf.all.accept_redirects" = 0;
-    "net.ipv4.conf.default.accept_redirects" = 0;
-    "net.ipv4.conf.all.secure_redirects" = 0;
-    "net.ipv4.conf.default.secure_redirects" = 0;
-    "net.ipv6.conf.all.accept_redirects" = 0;
-    "net.ipv6.conf.default.accept_redirects" = 0;
-    
-    # Connection tuning
-    "net.core.somaxconn" = 4096;
-    "net.core.netdev_max_backlog" = 65536;
-    "net.ipv4.tcp_max_orphans" = 65536;
-    "net.ipv4.tcp_fin_timeout" = 15;
-    "net.ipv4.tcp_keepalive_time" = 300;
-    "net.ipv4.tcp_keepalive_probes" = 5;
-    "net.ipv4.tcp_keepalive_intvl" = 15;
-  };
-
-  # Audit logging
-  security.auditd.enable = true;
-  
-  # Fail2ban log directory
-  systemd.tmpfiles.rules = [
-    "d /var/log/fail2ban 0755 root root -"
-    "d /var/log/traefik 0755 root root -"
-  ];
-
  # Copy the NixOS configuration file and link it from the resulting system
  # (/run/current-system/configuration.nix). This is useful in case you
  # accidentally delete configuration.nix.
--- a/modules/nixos/security/README-ai-worker.md
+++ b/modules/nixos/security/README-ai-worker.md
@@ -1,105 +0,0 @@
-# AI Worker Restricted Access
-
-This module provides SSH access for the AI worker (hermes-agent) to run ollama benchmarks on the host.
-
-## Security Model
-
-The `ai-worker` user has:
-
-### Filesystem Access
- **Home directory**: `/home/ai-worker` (standard user home)
- **No bind mounts**: Cannot access `/home/gortium/infra` or other host files
- **Cannot access**: Any files outside standard system paths
-
-### Sudo Access
- **NONE**: ai-worker has no sudo privileges
- Cannot run `nh`, `nixos-rebuild`, `nixpkgs-fmt`, or `nix` with elevated permissions
-
-### Docker Access
- Member of `docker` group - can run `docker` and `docker exec` commands
- Primary use: `docker exec ollama ollama ...` for benchmarking
- Can run `docker exec --privileged ollama rocm-smi ...` for VRAM monitoring
-
-## Workflow: SSH + Docker Benchmarking
-
-The AI worker connects from the Hermes container to the host via SSH, runs ollama benchmarks, then returns to save results.
-
-### Example Workflow
-
-```bash
-# From Hermes container, SSH to host
-ssh -i /path/to/ssh/key ai-worker@host.docker.internal
-
-# On host, run ollama benchmarks via docker
-docker exec ollama ollama pull devstral-small-2:24b
-
-# Create test modelfile
-docker exec ollama bash -c 'cat <<EOF > /root/.ollama/test.modelfile
-FROM devstral-small-2:24b
-PARAMETER num_ctx 65536
-PARAMETER num_gpu 99
-PARAMETER flash_attn true
-EOF'
-
-# Create and test model
-docker exec ollama ollama create test-model -f /root/.ollama/test.modelfile
-docker exec ollama ollama run test-model "Write a Python async function"
-
-# Check VRAM usage
-docker exec --privileged ollama rocm-smi --showmeminfo vram
-
-# Cleanup
-docker exec ollama ollama rm test-model
-
-# Exit SSH, return to Hermes container
-exit
-
-# Save results in Hermes container
-# /opt/data/ai-optimizer/state.json
-# /opt/data/ai-optimizer/results.csv
-```
-
-## SSH Access
-
-Connect as:
-```bash
-ssh ai-worker@lazyworkhorse
-```
-
-The working directory will be `/home/ai-worker`. No infra repo access.
-
-## Verification
-
-Check ai-worker permissions:
-```bash
-# On the host, as root or gortium:
-sudo -u ai-worker sudo -l
-# Should show: no sudo access
-
-# Check docker group membership
-groups ai-worker
-# Should show: ai-worker docker
-```
-
-## Troubleshooting
-
-If ai-worker cannot run docker commands:
-```bash
-# Check docker group membership
-groups ai-worker
-
-# Verify ollama container is running
-docker ps | grep ollama
-
-# Test docker access
-sudo -u ai-worker docker exec ollama ollama list
-```
-
-If SSH connection fails:
-```bash
-# Check SSH key is authorized
-cat /home/ai-worker/.ssh/authorized_keys
-
-# Check SSH service
-systemctl status sshd
-```
--- a/modules/nixos/security/ai-worker-restricted.nix
+++ b/modules/nixos/security/ai-worker-restricted.nix
@@ -1,17 +0,0 @@
-{ config, pkgs, lib, ... }:
-
-with lib;
-
-{
-  options.services.aiWorkerAccess = mkOption {
-    type = types.bool;
-    default = false;
-    description = "Enable AI worker SSH access with docker group membership for ollama benchmarking";
-  };
-
-  config = mkIf config.services.aiWorkerAccess {
-    # ai-worker is member of docker group - can run docker commands via SSH
-    # No bind mounts, no sudo access - docker-only for ollama benchmarking
-    users.groups.docker.members = [ "ai-worker" ];
-  };
-}
--- a/modules/nixos/services/ollama_init_custom_models.nix
+++ b/modules/nixos/services/ollama_init_custom_models.nix
@@ -1,87 +1,45 @@
 { pkgs, ... }: {
  systemd.services.init-ollama-model = {
    description = "Initialize LLM models with extra context in Ollama Docker";
-    
-    # On s'assure que Docker tourne avant de lancer ce script
-    after = [ "docker.service" ];
+    after = [ "docker-ollama.service" ];
    wantedBy = [ "multi-user.target" ];
-    
    script = ''
-      # Fonction de création asynchrone pour ne pas bloquer le démarrage
-      (
-        echo "Starting asynchronous Ollama initialization..."
+      # Wait for Ollama
+      while ! ${pkgs.curl}/bin/curl -s http://localhost:11434/api/tags > /dev/null; do
+        sleep 2
+      done

-        # Attente d'Ollama (maximum 120 secondes pour éviter une boucle infinie)
-        TIMEOUT=60
-        COUNT=0
-        while ! ${pkgs.curl}/bin/curl -s -f http://127.0.0.1:11434/api/tags > /dev/null; do
-          if [ $COUNT -ge $TIMEOUT ]; then
-            echo "Ollama did not become ready in time. Exiting."
-            exit 1
-          fi
-          echo "Waiting for Ollama API to be reachable..."
-          sleep 5
-          COUNT=$((COUNT + 5))
-        done
-
-        create_model_if_missing() {
-          local model_name=$1
-          local base_model=$2
-          
-          # Vérification robuste via l'API HTTP d'Ollama plutôt que docker exec (évite les conflits de tty)
-          if ! ${pkgs.curl}/bin/curl -s http://127.0.0.1:11434/api/tags | ${pkgs.jq}/bin/jq -e ".models[] | select(.name == \"$model_name\")" > /dev/null; then
-            echo "$model_name not found, creating from $base_model..."
-            
-            # Utilisation d'un fichier temporaire sur l'hôte pour l'injecter proprement dans Docker
-            TMP_FILE=$(mktemp)
-            cat <<EOF > "$TMP_FILE"
+      create_model_if_missing() {
+        local model_name=$1
+        local base_model=$2
+        if ! ${pkgs.docker}/bin/docker exec ollama ollama list | grep -q "$model_name"; then
+          echo "$model_name not found, creating from $base_model..."
+          ${pkgs.docker}/bin/docker exec ollama sh -c "cat <<EOF > /root/.ollama/$model_name.modelfile
 FROM $base_model
-TEMPLATE """{{- if .System }}
-[SYSTEM_PROMPT]
-{{ .System }}
-[/SYSTEM_PROMPT]
-{{- end }}
-{{- range .Messages }}
-{{- if eq .Role "user" }}
-[INST]
-{{ .Content }}
-[/INST]
-{{- else if eq .Role "assistant" }}
-{{ .Content }}
-{{- end }}
-{{- end }}"""
 PARAMETER num_ctx 131072
 PARAMETER num_predict 4096
 PARAMETER num_keep 1024
 PARAMETER repeat_penalty 1.1
 PARAMETER top_k 40
-PARAMETER stop "[INST]"
-PARAMETER stop "[/INST]"
-PARAMETER stop "</s>"
-EOF
+PARAMETER stop \"[INST]\"
+PARAMETER stop \"[/INST]\"
+PARAMETER stop \"</s>\"
+EOF"
+          ${pkgs.docker}/bin/docker exec ollama ollama create "$model_name" -f "/root/.ollama/$model_name.modelfile"
+        else
+          echo "$model_name already exists, skipping."
+        fi
+      }

-            # Copie et création dans le conteneur
-            ${pkgs.docker}/bin/docker cp "$TMP_FILE" ollama:/tmp/model.modelfile
-            ${pkgs.docker}/bin/docker exec ollama ollama create "$model_name" -f /tmp/model.modelfile
-            ${pkgs.docker}/bin/docker exec ollama rm /tmp/model.modelfile
-            rm -f "$TMP_FILE"
-          else
-            echo "$model_name already exists, skipping."
-          fi
-        }
+      # Create Nemotron
+      create_model_if_missing "nemotron-3-nano:30b-128k" "nemotron-3-nano:30b"
      
-        # Create Nemotron
-        create_model_if_missing "nemotron-3-nano:30b-128k" "nemotron-3-nano:30b"
-        
-        # Create Devstral
-        create_model_if_missing "devstral-small-2:24b-128k" "devstral-small-2:24b" 
-        
-      ) &
+      # Create Devstral
+      create_model_if_missing "devstral-small-2:24b-128k" "devstral-small-2:24b" 
    '';
-
    serviceConfig = {
-      Type = "forking"; # Permet à systemd de savoir que le script passe en arrière-plan via '&'
-      User = "root";
+      Type = "oneshot";
+      RemainAfterExit = true;
    };
  };
 }
--- a/secrets/containers.env.age
+++ b/secrets/containers.env.age
@@ -1,36 +1,34 @@
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 -----END AGE ENCRYPTED FILE-----
--- a/secrets/wireguard_preshared_key.age
+++ b/secrets/wireguard_preshared_key.age
@@ -1,9 +0,0 @@
-----BEGIN AGE ENCRYPTED FILE-----
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-wDVB1LwC+Q==
-----END AGE ENCRYPTED FILE-----
--- a/secrets/wireguard_private_key.age
+++ b/secrets/wireguard_private_key.age
@@ -1,11 +0,0 @@
-----BEGIN AGE ENCRYPTED FILE-----
-YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHNzaC1lZDI1NTE5IEdoTUQ4QSA5dzVG
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-----END AGE ENCRYPTED FILE-----
--- a/users/ai-worker.nix
+++ b/users/ai-worker.nix
@@ -9,85 +9,6 @@
    openssh.authorizedKeys.keys = [
      keys.users.ai-worker.main
    ];
-    # No password login - SSH key only
-    hashedPassword = "!";
  };
  users.groups.ai-worker = {};
-
-  # Enable restricted AI worker SSH access for ollama benchmarking
-  # SECURITY: ai-worker can only:
-  #   - SSH into host from Hermes container
-  #   - Run docker commands (docker exec ollama ...) via docker group
-  #   - Run specific security audit commands
-  #   - NO access to infra repo (no bind mount)
-  #   - NO sudo access (no nh, nixos-rebuild, nixpkgs-fmt, nix)
-  # WORKFLOW: SSH from Hermes container, run docker benchmarks, return and save results to /opt/data/ai-optimizer/
-  services.aiWorkerAccess = true;
-  
-  # Restricted sudo for ai-worker - security checks only
-  security.sudo.extraRules = [
-    {
-      users = [ "ai-worker" ];
-      commands = [
-        # Firewall checks
-        {
-          command = "/run/wrappers/bin/sudo iptables -L -n -v";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/wrappers/bin/sudo iptables -S";
-          options = [ "NOPASSWD" ];
-        }
-        # Fail2ban status
-        {
-          command = "/run/current-system/sw/bin/fail2ban-client status";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/current-system/sw/bin/fail2ban-client status *";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/current-system/sw/bin/fail2ban-client get * banned";
-          options = [ "NOPASSWD" ];
-        }
-        # Log inspection
-        {
-          command = "/run/current-system/sw/bin/journalctl -t kernel -n 100";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/current-system/sw/bin/journalctl -u fail2ban -n 50";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/current-system/sw/bin/journalctl -u firewall -n 50";
-          options = [ "NOPASSWD" ];
-        }
-        # SSH config verification
-        {
-          command = "/run/current-system/sw/bin/sshd -T";
-          options = [ "NOPASSWD" ];
-        }
-        # Docker service checks
-        {
-          command = "/run/current-system/sw/bin/docker ps";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/current-system/sw/bin/docker inspect *";
-          options = [ "NOPASSWD" ];
-        }
-        # Network diagnostics
-        {
-          command = "/run/current-system/sw/bin/ss -tlnp";
-          options = [ "NOPASSWD" ];
-        }
-        {
-          command = "/run/current-system/sw/bin/cat /proc/net/tcp";
-          options = [ "NOPASSWD" ];
-        }
-      ];
-    }
-  ];
 }
				`@@ -0,0 +1 @@`
				`timestamp,track,model,backend,phase,num_ctx,num_gpu,flash_attn,tokens_per_sec,vram_gb,ram_gb,status,is_best`