feat: add Hyperspace Pods NixOS module

Create modules/nixos/services/hyperspace.nix for Hyperspace Pods P2P AI cluster agent. Registered in flake.nix under lazyworkhorse modules list.

- Fetches CLI binary v5.45.30 via fetchurl with SRI hash verification
- Systemd system service: auto profile, api port 8080, ai-worker user
- GPU device access via DeviceAllow (kfd+dri) and video+render groups
- Service hardening: NoNewPrivileges, ProtectHome, ProtectSystem, PrivateTmp
- Firewall: TCP 4001 (libp2p), 30301 (chain), 8080 (API); UDP 4001 (libp2p)
- AMD MI50 ROCm compatibility via HSA_OVERRIDE_GFX_VERSION=9.0.6

assets/ollama/Dockerfile

@@ -0,0 +1,106 @@
+# 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"]

flake.nix

@@ -61,6 +61,8 @@
               ./modules/nixos/services/open_code_server.nix
               ./modules/nixos/services/ollama_init_custom_models.nix
               ./modules/nixos/services/openclaw_node.nix
+              ./modules/nixos/services/hyperspace.nix
+              ./modules/nixos/security/ai-worker-restricted.nix
               ./users/gortium.nix
               ./users/ai-worker.nix
             ];

hosts/lazyworkhorse/configuration.nix

@@ -207,6 +207,7 @@
     ai = {
       path = self + "/assets/compose/ai";
       envFile = config.age.secrets.containers_env.path;
+      ports = [ 22000 ];  # Syncthing TCP sync
     };
 
     cloudstorage = {
@@ -474,7 +475,7 @@
   services.openssh.settings = {
     PermitRootLogin = "no";
     MaxAuthTries = 3;
-    MaxSessions = 10;
+    MaxSessions = 20;
     LoginGraceTime = 30;
     ClientAliveInterval = 300;
     ClientAliveCountMax = 2;

modules/nixos/security/README-ai-worker.md

@@ -0,0 +1,105 @@
+# 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
+```

modules/nixos/security/ai-worker-restricted.nix

@@ -0,0 +1,17 @@
+{ 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" ];
+  };
+}

modules/nixos/services/hyperspace.nix

@@ -0,0 +1,134 @@
+{ config, lib, pkgs, ... }:
+
+let
+  cfg = config.services.hyperspace;
+
+  hyperspacePkg = pkgs.stdenv.mkDerivation {
+    name = "hyperspace-pods-${cfg.version}";
+    src = pkgs.fetchurl {
+      url = "https://github.com/hyperspaceai/aios-cli/releases/download/v${cfg.version}/aios-cli-x86_64-unknown-linux-gnu.tar.gz";
+      hash = cfg.packageHash;
+    };
+    sourceRoot = ".";
+    installPhase = ''
+      mkdir -p $out/libexec $out/bin
+      cp -r * $out/libexec/
+      chmod +x $out/libexec/aios-cli
+      ln -s $out/libexec/aios-cli $out/bin/hyperspace
+    '';
+  };
+in {
+  options.services.hyperspace = {
+    enable = lib.mkEnableOption "Hyperspace Pods P2P AI cluster agent";
+
+    version = lib.mkOption {
+      type = lib.types.str;
+      default = "5.45.30";
+      description = "Hyperspace CLI version to download.";
+    };
+
+    packageHash = lib.mkOption {
+      type = lib.types.str;
+      default = "sha256-f6fJ8t3exqtYwUD5j+WvD+Hm0oN/Eef0X+R9Rj23dE0=";
+      description = ''
+        SRI hash of the hyperspace release tarball (sha256-<base64>).
+        Must be updated when version changes. Generate with:
+        nix store prefetch-file --hash-algo sha256 \\
+          https://github.com/hyperspaceai/aios-cli/releases/download/v{version}/aios-cli-x86_64-unknown-linux-gnu.tar.gz
+      '';
+    };
+
+    user = lib.mkOption {
+      type = lib.types.str;
+      default = "ai-worker";
+      description = "System user to run the Hyperspace agent.";
+    };
+
+    apiPort = lib.mkOption {
+      type = lib.types.port;
+      default = 8080;
+      description = "OpenAI-compatible API port (configurable via --api-port).";
+    };
+
+    profile = lib.mkOption {
+      type = lib.types.str;
+      default = "auto";
+      description = ''
+        Agent profile. Options: auto (auto-detect hardware), full (all capabilities),
+        inference (GPU inference only), embedding (CPU embedding only),
+        relay (lightweight relay), storage (storage + memory).
+      '';
+    };
+
+    autoStart = lib.mkOption {
+      type = lib.types.bool;
+      default = true;
+      description = "Start the agent automatically on boot.";
+    };
+
+    openFirewall = lib.mkOption {
+      type = lib.types.bool;
+      default = true;
+      description = "Open P2P mesh (4001 TCP+UDP, 30301 TCP) and API port in the firewall.";
+    };
+
+    extraArgs = lib.mkOption {
+      type = lib.types.listOf lib.types.str;
+      default = [ ];
+      description = "Extra arguments to pass to 'hyperspace start'.";
+    };
+  };
+
+  config = lib.mkIf cfg.enable {
+    systemd.services.hyperspace = {
+      description = "Hyperspace Pods P2P AI Cluster Agent";
+      after = [ "network.target" "network-online.target" ];
+      wants = [ "network-online.target" ];
+      wantedBy = lib.mkIf cfg.autoStart [ "multi-user.target" ];
+
+      path = with pkgs; [ bash coreutils ];
+
+      serviceConfig = {
+        Type = "simple";
+        User = cfg.user;
+        Group = cfg.user;
+        WorkingDirectory = "${hyperspacePkg}/libexec";
+        ExecStart = "${hyperspacePkg}/bin/hyperspace start --profile ${cfg.profile} --api-port ${toString cfg.apiPort} ${lib.escapeShellArgs cfg.extraArgs}";
+        Restart = "on-failure";
+        RestartSec = 5;
+
+        # AMD MI50 (ROCm) device access
+        DeviceAllow = [ "/dev/kfd rw" "/dev/dri rw" ];
+
+        # Supplementary groups for GPU/accelerator access
+        SupplementaryGroups = [ "video" "render" ];
+
+        # Hardening
+        NoNewPrivileges = true;
+        ProtectHome = "tmpfs";
+        ProtectSystem = "strict";
+        PrivateTmp = true;
+        PrivateDevices = false; # Needs /dev/kfd and /dev/dri
+      };
+
+      environment = {
+        HSA_OVERRIDE_GFX_VERSION = "9.0.6";
+        HOME = "/home/${cfg.user}";
+      };
+    };
+
+    # Firewall ports for P2P mesh (libp2p 4001, chain 30301) and API
+    networking.firewall.allowedTCPPorts = lib.mkIf cfg.openFirewall [ 4001 30301 cfg.apiPort ];
+    networking.firewall.allowedUDPPorts = lib.mkIf cfg.openFirewall [ 4001 ];
+
+    # Add GPU/accelerator groups to the service user (persistent beyond service restarts)
+    users.users = lib.mkIf (cfg.user == "ai-worker") {
+      ai-worker = {
+        extraGroups = [ "video" "render" ];
+      };
+    };
+
+    # ROCm override for AMD MI50 (gfx906) compatibility
+    environment.variables.HSA_OVERRIDE_GFX_VERSION = "9.0.6";
+  };
+}

modules/nixos/services/ollama_init_custom_models.nix

@@ -1,67 +1,87 @@
 { pkgs, ... }: {
   systemd.services.init-ollama-model = {
     description = "Initialize LLM models with extra context in Ollama Docker";
-    after = [ "docker-ollama.service" ];
+    
+    # On s'assure que Docker tourne avant de lancer ce script
+    after = [ "docker.service" ];
     wantedBy = [ "multi-user.target" ];
+    
     script = ''
-      # Wait for Ollama
-      while ! ${pkgs.curl}/bin/curl -s http://localhost:11434/api/tags > /dev/null; do
-        sleep 2
-      done
+      # Fonction de création asynchrone pour ne pas bloquer le démarrage
+      (
+        echo "Starting asynchronous Ollama initialization..."
+        
+        # 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
-        if ! ${pkgs.docker}/bin/docker exec ollama ollama list | grep -q "$model_name"; then
-          echo "$model_name not found, creating from $base_model..."
+        create_model_if_missing() {
+          local model_name=$1
+          local base_model=$2
           
-          # We use a custom TEMPLATE block to strip the 'currentDate' function 
-          # which is unsupported in Ollama 0.5.7 but present in Devstral's default manifest.
-          ${pkgs.docker}/bin/docker exec ollama sh -c "cat <<EOF > /root/.ollama/$model_name.modelfile
+          # 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"
 FROM $base_model
-TEMPLATE \"\"\"{{- if .System }}
+TEMPLATE """{{- if .System }}
 [SYSTEM_PROMPT]
 {{ .System }}
 [/SYSTEM_PROMPT]
 {{- end }}
 {{- range .Messages }}
-{{- if eq .Role \"user\" }}
+{{- if eq .Role "user" }}
 [INST]
 {{ .Content }}
 [/INST]
-{{- else if eq .Role \"assistant\" }}
+{{- else if eq .Role "assistant" }}
 {{ .Content }}
 {{- end }}
-{{- 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"
-          ${pkgs.docker}/bin/docker exec ollama ollama create "$model_name" -f "/root/.ollama/$model_name.modelfile"
-          ${pkgs.docker}/bin/docker exec ollama rm "/root/.ollama/$model_name.modelfile"
-        else
-          echo "$model_name already exists, skipping."
-        fi
-      }
+PARAMETER stop "[INST]"
+PARAMETER stop "[/INST]"
+PARAMETER stop "</s>"
+EOF
 
-      # 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_model_if_missing "qwen2.5-coder:32b-128k" "qwen2.5-coder:32b"
-      
-      # create_model_if_missing "mistral-large-planner:123b" "mistral-large:123b-instruct-v2407-q4_K_S"
+            # 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 Devstral
+        create_model_if_missing "devstral-small-2:24b-128k" "devstral-small-2:24b" 
+        
+      ) &
     '';
+
     serviceConfig = {
-      Type = "oneshot";
-      RemainAfterExit = true;
+      Type = "forking"; # Permet à systemd de savoir que le script passe en arrière-plan via '&'
+      User = "root";
     };
   };
 }

secrets/wireguard_preshared_key.age

@@ -0,0 +1,9 @@
+-----BEGIN AGE ENCRYPTED FILE-----
+YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHNzaC1lZDI1NTE5IEdoTUQ4QSA3VG9Z
+MVFPVFc2VVJ3d0h0dmtBUnI3WHl2SzUxTkRZbjFCaGloWmV3dnd3ClcxdnVPeGd6
+SU4zR0Q0K1dtVjRRVHd0VW5XSFI0dVFpTjZnYk1DNjRxTVEKLT4gQzlgRy1ncmVh
+c2UKeUozOWgyUytSTVF0NjY2STBEb2VadwotLS0gblI3bmJCUWxxU3QrYTEyVFBI
+Snc4NC9rTkh0NnZYbUtxUE9hRWRkelpmMAq58fmH6cK13GeD7wGLxKmx10hmJeW4
+b7KqnCD1ZP7uG85s32xzVRwRG8RrG4xZo5nR9Mrtg1CoTSFfUGeFnf5xveN+Ej0X
+wDVB1LwC+Q==
+-----END AGE ENCRYPTED FILE-----

secrets/wireguard_private_key.age

@@ -0,0 +1,11 @@
+-----BEGIN AGE ENCRYPTED FILE-----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+-----END AGE ENCRYPTED FILE-----

users/ai-worker.nix

@@ -9,8 +9,20 @@
     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 = [