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ai-worker-
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feat/compo
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Submodule assets/compose updated: 434b2835ff...6b82a26c25
106
assets/ollama/Dockerfile
Normal file
106
assets/ollama/Dockerfile
Normal file
@@ -0,0 +1,106 @@
|
||||
# ollama-gfx906/Dockerfile
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||||
#
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||||
# Custom ollama image with ROCm 6.1 + gfx906 (MI50) support.
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||||
# 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.
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#
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# Build: docker build -t ollama/ollama:rocm-gfx906 ai/ollama
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|
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FROM rocm/dev-ubuntu-22.04:6.1.2-complete AS builder
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||||
|
||||
# Build dependencies (CMake, Ninja, Go)
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||||
ARG CMAKEVERSION=3.31.2
|
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ARG NINJAVERSION=1.12.1
|
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ARG GOLANG_VERSION=1.22.0
|
||||
|
||||
RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
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curl git ccache build-essential pkg-config unzip \
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||||
&& rm -rf /var/lib/apt/lists/*
|
||||
|
||||
# Install CMake from official binaries
|
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RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKEVERSION}/cmake-${CMAKEVERSION}-linux-x86_64.tar.gz \
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||||
| tar xz -C /usr/local --strip-components 1
|
||||
|
||||
# Install Ninja
|
||||
RUN curl -fsSL -o /tmp/ninja.zip \
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||||
https://github.com/ninja-build/ninja/releases/download/v${NINJAVERSION}/ninja-linux.zip \
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||||
&& unzip /tmp/ninja.zip -d /usr/local/bin && rm /tmp/ninja.zip
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||||
|
||||
# Install Go
|
||||
RUN curl -fsSL https://go.dev/dl/go${GOLANG_VERSION}.linux-amd64.tar.gz \
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| tar xz -C /usr/local
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ENV PATH=/usr/local/go/bin:$PATH
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|
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ARG OLLAMA_VERSION=v0.23.2
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RUN git clone --depth 1 --branch ${OLLAMA_VERSION} https://github.com/ollama/ollama.git /build
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WORKDIR /build
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|
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# ROCm paths
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ENV HIP_PATH=/opt/rocm
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ENV ROCM_PATH=/opt/rocm
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ENV CMAKE_GENERATOR=Ninja
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ENV LDFLAGS=-s
|
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|
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# Step 1: Build CPU backends with GCC (no ROCm preset)
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# Pre-set CMAKE_HIP_COMPILER="" to prevent check_language(HIP) from
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# finding a HIP compiler (it searches /opt/rocm even without PATH).
|
||||
# Remove /opt/rocm from PATH to prevent find_program from finding hipcc.
|
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RUN mkdir -p build-cpu && \
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PATH=/usr/local/go/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin \
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cmake -B build-cpu -DCMAKE_BUILD_TYPE=Release \
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-DCMAKE_HIP_COMPILER="" \
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-DCMAKE_INSTALL_PREFIX=/build/dist && \
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cmake --build build-cpu --target ggml-cpu -- -l $(nproc) && \
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cmake --install build-cpu --component CPU --strip && \
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echo "=== CPU install ===" && \
|
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(find /build/dist/lib/ollama -type f -o -type l 2>&1 | head -20 || echo "empty")
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||||
|
||||
# Step 2: Build HIP backend with ROCm preset + gfx906 target only
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# The ROCm 6 preset enables HIP language detection (enable_language(HIP))
|
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# 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.
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RUN mkdir -p build-hip && \
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cmake -B build-hip \
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--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"]
|
||||
@@ -61,6 +61,7 @@
|
||||
./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
|
||||
];
|
||||
|
||||
105
modules/nixos/security/README-ai-worker.md
Normal file
105
modules/nixos/security/README-ai-worker.md
Normal file
@@ -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
|
||||
```
|
||||
17
modules/nixos/security/ai-worker-restricted.nix
Normal file
17
modules/nixos/security/ai-worker-restricted.nix
Normal file
@@ -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" ];
|
||||
};
|
||||
}
|
||||
@@ -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";
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
9
secrets/wireguard_preshared_key.age
Normal file
9
secrets/wireguard_preshared_key.age
Normal file
@@ -0,0 +1,9 @@
|
||||
-----BEGIN AGE ENCRYPTED FILE-----
|
||||
YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHNzaC1lZDI1NTE5IEdoTUQ4QSA3VG9Z
|
||||
MVFPVFc2VVJ3d0h0dmtBUnI3WHl2SzUxTkRZbjFCaGloWmV3dnd3ClcxdnVPeGd6
|
||||
SU4zR0Q0K1dtVjRRVHd0VW5XSFI0dVFpTjZnYk1DNjRxTVEKLT4gQzlgRy1ncmVh
|
||||
c2UKeUozOWgyUytSTVF0NjY2STBEb2VadwotLS0gblI3bmJCUWxxU3QrYTEyVFBI
|
||||
Snc4NC9rTkh0NnZYbUtxUE9hRWRkelpmMAq58fmH6cK13GeD7wGLxKmx10hmJeW4
|
||||
b7KqnCD1ZP7uG85s32xzVRwRG8RrG4xZo5nR9Mrtg1CoTSFfUGeFnf5xveN+Ej0X
|
||||
wDVB1LwC+Q==
|
||||
-----END AGE ENCRYPTED FILE-----
|
||||
11
secrets/wireguard_private_key.age
Normal file
11
secrets/wireguard_private_key.age
Normal file
@@ -0,0 +1,11 @@
|
||||
-----BEGIN AGE ENCRYPTED FILE-----
|
||||
YWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IHNzaC1lZDI1NTE5IEdoTUQ4QSA5dzVG
|
||||
WUNvT3NlRmcrWS81bzJqSWlTekVYaDFFTE10SkI2dEgzaGpxcUI4Cmk5Y0FGYTRZ
|
||||
K0NGYzY3VUp4aS9ZZGRmWTgybDJFUURva2pZNmVOS3QxdEUKLT4gPnVRTCtldGMt
|
||||
Z3JlYXNlCk04OTJZeFRNeDI5aGpMVTk1ZTE0Y2FMMnFEMjlJalJpMHRlaTE4ZWIx
|
||||
d2lCRGQ5RHVjcktOMGJCb1VERlNWcTYKaSt0L1Z6dVJ0QWIyZkhsYzFEVjZSQWUr
|
||||
ZWpwVlo1TmhoUFJZdkEvR0gxNlVhcXF2ZTRnCi0tLSBLcmM2MThNVkdWclpHUXRr
|
||||
VTF6QVk2WUZlTXpZMVNLMlpBOFc3M1o5WjZzCs9xbPlIX+u5vRSQ/z9utu+I9S2c
|
||||
02DOsIb1kzxzb1OK91b8Kh4JucQSq3qkyEvRucsNn5QW8hIHDnRuND6EbPyN7p4S
|
||||
YB/F0dxSqgnq
|
||||
-----END AGE ENCRYPTED FILE-----
|
||||
@@ -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 = [
|
||||
|
||||
Reference in New Issue
Block a user