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feat/docke
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feat/ucons
| Author | SHA1 | Date | |
|---|---|---|---|
| 568e0006de | |||
| 8325cf27b6 | |||
| f54a922b8b |
@@ -1,203 +0,0 @@
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# AI Model Optimization Cron Job - EXECUTION PROMPT
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**When this cron runs, follow these instructions exactly:**
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---
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## Your Role
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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.
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**Hardware:**
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- 2× AMD MI50 GPUs (32GB VRAM each, 64GB total)
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- 128GB system RAM
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- ROCm: HSA_OVERRIDE_GFX_VERSION=9.0.6, HIP_VISIBLE_DEVICES=0,1
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---
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## File Locations
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```
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STATE: /opt/data/infra/assets/ai-optimizer/state.json
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RESULTS: /opt/data/infra/assets/ai-optimizer/results.csv
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INFRA_REPO: /opt/data/infra
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```
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|
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---
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## Model Queues
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### GPU Track (Coding - prioritize speed + context on GPU)
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1. `devstral-small-2:24b`
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2. `qwen2.5-coder:32b`
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3. `codellama:34b-instruct`
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### RAM Track (Knowledge - prioritize max context)
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1. `qwen2.5:72b`
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2. `nemotron-3-nano:30b`
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3. `mixtral:8x7b-instruct`
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---
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## Context Steps (in order)
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```
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[32768, 65536, 98304, 131072, 163840, 200704, 262144, 327680]
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```
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---
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## Each Run - Step by Step
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### 1. Read State
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```bash
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cd /opt/data/infra
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cat assets/ai-optimizer/state.json
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```
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### 2. Determine Next Test
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- Read `track` (gpu or ram)
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- Read `current_model` from queue at `model_index`
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- Read `current_config` for parameters to test
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- Select next context step from `context_steps` based on `phase`
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### 3. Pull Model (if needed)
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```bash
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docker exec ollama ollama list | grep -q "<model>" || docker exec ollama ollama pull <model>
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```
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### 4. Create Test Modelfile
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```bash
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docker exec ollama bash -c "cat <<EOF > /root/.ollama/test_${model}.modelfile
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FROM ${model}
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PARAMETER num_ctx ${current_config.num_ctx}
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PARAMETER num_gpu ${current_config.num_gpu}
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PARAMETER flash_attn ${current_config.flash_attn}
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PARAMETER num_predict 4096
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PARAMETER num_keep 1024
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PARAMETER repeat_penalty 1.1
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EOF"
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docker exec ollama ollama create test-model -f /root/.ollama/test_${model}.modelfile
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```
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### 5. Run Benchmark
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```bash
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# Warm up
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docker exec ollama ollama run test-model "Hello" > /dev/null
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# Coding prompt
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START=$(date +%s%N)
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docker exec ollama ollama run test-model "Write a Python async context manager that retries a function with exponential backoff, max 5 retries, and logs each attempt using structlog. Include type hints."
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END=$(date +%s%N)
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# Calculate tokens/sec from output
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```
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### 6. Measure VRAM (if possible)
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```bash
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# Try host first
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rocm-smi --showmeminfo vram 2>/dev/null || \
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# Try via docker
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docker exec --privileged ollama rocm-smi --showmeminfo vram 2>/dev/null || \
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# Fallback
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echo "VRAM measurement unavailable"
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```
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### 7. Record Results
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- Parse tokens/sec from ollama output
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- Record VRAM/RAM usage
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- Determine if this is best config so far for this model
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- Update `best_configs` if tokens/sec improved or context increased
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### 8. Update State
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```python
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# Logic:
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if test_successful:
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if context_step < max_reached:
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phase = "context_scaling"
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current_config.num_ctx = next_context_step
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else:
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# Move to next model
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model_index += 1
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phase = "context_scaling"
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current_config.num_ctx = context_steps[0]
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else:
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# OOM or error - record last good as best
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best_configs[track][current_model] = last_good_config
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model_index += 1
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phase = "context_scaling"
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```
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### 9. Commit to Repo
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```bash
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cd /opt/data/infra
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git add assets/ai-optimizer/
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git commit -m "ai-optimizer: tested ${model} at ${num_ctx} ctx - ${status}"
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git push origin master
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```
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### 10. Matrix Notification (if available)
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```python
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import os
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if os.getenv("MATRIX_HOME_SERVER") and os.getenv("MATRIX_ACCESS_TOKEN"):
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# Send notification to Matrix room
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# Room ID from env or config
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pass
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# Else: silent
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```
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|
||||
---
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## Stop Conditions
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1. All models in both queues have `best_configs` recorded
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2. Manual intervention needed (error in state.json `error` field)
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3. No progress for 3 consecutive runs (stuck)
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|
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---
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## Error Handling
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If any step fails:
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1. Log error to state.json: `"error": {"message": "...", "timestamp": "..."}`
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2. Do NOT increment model_index (retry next run)
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3. Commit state with error field
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4. Exit gracefully
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---
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## Important Notes
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- **No num_parallel**: Do not use this parameter
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- **Two tracks**: Complete GPU track first, then RAM track
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- **Backend**: Start with ollama, llama.cpp testing is optional (requires uncommenting in compose.yml)
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- **Host access**: Some commands need host - use docker exec or SSH if available
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- **Ask before deploy**: If config changes needed in NixOS modules, show diff and wait for user confirmation before `nh os switch`
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||||
---
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## Example State Transitions
|
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**Start:**
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```json
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{"track": "gpu", "model_index": 0, "current_model": "devstral-small-2:24b", "current_config": {"num_ctx": 32768, ...}}
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```
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**After successful test at 32k:**
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```json
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{"track": "gpu", "model_index": 0, "current_model": "devstral-small-2:24b", "current_config": {"num_ctx": 65536, ...}}
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```
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**After OOM at 131k:**
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```json
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{
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"track": "gpu",
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"model_index": 1,
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"current_model": "qwen2.5-coder:32b",
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"best_configs": {
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"gpu": {
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"devstral-small-2:24b": {"num_ctx": 98304, "num_gpu": 99, "tokens_per_sec": 11.2}
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}
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}
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}
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```
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@@ -1,283 +0,0 @@
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# AI Model Optimization Cron Job
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||||
|
||||
**Goal:** Find optimal configurations for maximum context size with full hardware utilization.
|
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|
||||
**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
|
||||
|
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### RAM-Optimized (Knowledge - prioritize max context, accept slower)
|
||||
1. `qwen2.5:72b` - Best knowledge, needs heavy offload
|
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2. `nemotron-3-nano:30b` - Good general knowledge
|
||||
3. `mixtral:8x7b-instruct` - MoE, efficient for knowledge
|
||||
|
||||
---
|
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## Optimization Strategy
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**Two separate tracks:**
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### Track A: GPU-Focused (Coding)
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```
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Baseline: num_ctx=32768, num_gpu=99, flash_attn=true
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Steps:
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1. Increase context: 32k → 65k → 98k → 131k → 163k
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2. At each step, verify VRAM usage < 60GB (leave headroom)
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3. If OOM: reduce num_gpu until stable, record best
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4. Measure tokens/sec - if < 5 tok/s, consider context too high
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```
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### Track B: RAM-Focused (Knowledge)
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```
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Baseline: num_ctx=65536, num_gpu=50, flash_attn=true
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Steps:
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1. Increase context: 65k → 131k → 200k → 262k → 327k
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2. Allow heavy RAM offload (system RAM up to 100GB)
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3. If OOM: reduce context or num_gpu
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4. Speed less critical - focus on max stable context
|
||||
```
|
||||
|
||||
---
|
||||
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## Backend-Specific Configs
|
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### Ollama (Modelfile parameters)
|
||||
```
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PARAMETER num_ctx <value>
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PARAMETER num_gpu <layers>
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PARAMETER flash_attn true/false
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PARAMETER num_predict 4096
|
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PARAMETER num_keep 1024
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PARAMETER repeat_penalty 1.1
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||||
```
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||||
|
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### Llama.cpp (CLI flags)
|
||||
```
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--ctx-size <value>
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--n-gpu-layers <layers>
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||||
--flash-attn on/off
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||||
--n-predict 4096
|
||||
--batch-size 4096
|
||||
--ubatch-size 512
|
||||
--cache-type-k f16
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||||
--cache-type-v f16
|
||||
--split-mode layer
|
||||
--no-mmap
|
||||
```
|
||||
|
||||
---
|
||||
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## Host Test Instructions
|
||||
|
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**The cron runs inside the hermes container. Some tests require host access:**
|
||||
|
||||
### 1. VRAM Monitoring (HOST)
|
||||
```bash
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# Run on host to check VRAM usage during/after benchmark
|
||||
sudo rocm-smi --showmeminfo vram
|
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|
||||
# Or via docker exec if rocm-smi available in container
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||||
docker exec --privileged ollama rocm-smi --showmeminfo vram
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||||
```
|
||||
|
||||
### 2. Running Ollama Benchmarks (CONTAINER)
|
||||
```bash
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||||
# Pull model
|
||||
docker exec ollama ollama pull <model>
|
||||
|
||||
# Create custom modelfile
|
||||
docker exec ollama bash -c 'cat <<EOF > /root/.ollama/test.modelfile
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FROM <model>
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||||
PARAMETER num_ctx 65536
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PARAMETER num_gpu 99
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||||
PARAMETER flash_attn true
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EOF'
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|
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# Create model from modelfile
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||||
docker exec ollama ollama create test-model -f /root/.ollama/test.modelfile
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|
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# Run benchmark (warm model first)
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||||
docker exec ollama ollama run test-model "Write a Python async context manager with exponential backoff"
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||||
|
||||
# Cleanup
|
||||
docker exec ollama ollama rm test-model
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||||
```
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||||
|
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### 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",
|
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"prompt": "Write a Python function",
|
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"max_tokens": 100
|
||||
}'
|
||||
```
|
||||
|
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### 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>"
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||||
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
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||||
# 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
|
||||
@@ -1 +0,0 @@
|
||||
timestamp,track,model,backend,phase,num_ctx,num_gpu,flash_attn,tokens_per_sec,vram_gb,ram_gb,status,is_best
|
||||
|
@@ -1,21 +0,0 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
@@ -1,67 +0,0 @@
|
||||
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" ]
|
||||
@@ -1,102 +0,0 @@
|
||||
#!/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 "$@"
|
||||
18
flake.nix
18
flake.nix
@@ -12,6 +12,10 @@
|
||||
url = "git+https://git.lix.systems/lix-project/lix?ref=main";
|
||||
inputs.nixpkgs.follows = "nixpkgs";
|
||||
};
|
||||
# uConsole CM5 hardware support
|
||||
nixos-uconsole.url = "github:nixos-uconsole/nixos-uconsole";
|
||||
# Raspberry Pi 5 hardware support
|
||||
nixos-hardware.url = "github:nixos/nixos-hardware/master";
|
||||
self.submodules = true;
|
||||
};
|
||||
|
||||
@@ -79,6 +83,20 @@
|
||||
./hosts/cyt-pi/hardware-configuration.nix
|
||||
];
|
||||
};
|
||||
|
||||
uConsole = nixpkgs.lib.nixosSystem {
|
||||
specialArgs = { inherit self keys paths inputs; };
|
||||
modules = [
|
||||
{
|
||||
nixpkgs.overlays = overlays;
|
||||
nixpkgs.config.allowUnfree = true;
|
||||
nixpkgs.hostPlatform = "aarch64-linux";
|
||||
nix.package = lix.packages."aarch64-linux".default;
|
||||
}
|
||||
./hosts/uconsole/configuration.nix
|
||||
./hosts/uconsole/hardware-configuration.nix
|
||||
];
|
||||
};
|
||||
};
|
||||
devShells.${system}.default = devShell;
|
||||
};
|
||||
|
||||
191
hosts/uconsole/configuration.nix
Normal file
191
hosts/uconsole/configuration.nix
Normal file
@@ -0,0 +1,191 @@
|
||||
{ config, lib, pkgs, paths, self, keys, inputs, ... }:
|
||||
|
||||
let
|
||||
# Reticulum Network Stack - build from PyPI
|
||||
reticulum = pkgs.python3Packages.buildPythonPackage {
|
||||
pname = "reticulum";
|
||||
version = "0.7.0";
|
||||
format = "pyproject";
|
||||
src = pkgs.python3Packages.fetchPypi {
|
||||
pname = "reticulum";
|
||||
version = "0.7.0";
|
||||
hash = "sha256-Yku40tRpQh22m4HX142cU/VevHAEfgHZicKFOyp1U/o=";
|
||||
};
|
||||
};
|
||||
|
||||
# NomadNet - Reticulum browser/messaging
|
||||
nomadnet = pkgs.python3Packages.buildPythonPackage {
|
||||
pname = "nomadnet";
|
||||
version = "0.5.2";
|
||||
format = "pyproject";
|
||||
src = pkgs.python3Packages.fetchPypi {
|
||||
pname = "nomadnet";
|
||||
version = "0.5.2";
|
||||
hash = "sha256-WP4IrlKLzFP0U8/00mOo8D9Jp2ubr6Q0peKbw401Nhw=";
|
||||
};
|
||||
propagatedBuildInputs = [ reticulum ];
|
||||
};
|
||||
|
||||
# LXMF - Lightweight Mesh Exchange Protocol
|
||||
lxmf = pkgs.python3Packages.buildPythonPackage {
|
||||
pname = "lxmf";
|
||||
version = "0.5.1";
|
||||
format = "pyproject";
|
||||
src = pkgs.python3Packages.fetchPypi {
|
||||
pname = "lxmf";
|
||||
version = "0.5.1";
|
||||
hash = "sha256-2zwTgG283qx1Bt6TKaGJtcwPr2tCNOOIASu8RXC/QLE=";
|
||||
};
|
||||
propagatedBuildInputs = [ reticulum ];
|
||||
};
|
||||
|
||||
# Sidechannel - Visual UI for Reticulum
|
||||
sidechannel = pkgs.python3Packages.buildPythonPackage {
|
||||
pname = "sidechannel";
|
||||
version = "0.1.0";
|
||||
format = "pyproject";
|
||||
src = pkgs.python3Packages.fetchPypi {
|
||||
pname = "sidechannel";
|
||||
version = "0.1.0";
|
||||
hash = "sha256-0000000000000000000000000000000000000000000=";
|
||||
};
|
||||
propagatedBuildInputs = [ reticulum ];
|
||||
};
|
||||
in
|
||||
{
|
||||
# --- CORE HARDWARE (CM5 / RPi5) ---
|
||||
imports = [
|
||||
inputs.nixos-uconsole.nixosModules.uconsole
|
||||
inputs.nixos-hardware.nixosModules.raspberry-pi-5
|
||||
];
|
||||
|
||||
uconsole = {
|
||||
enable = true;
|
||||
variant = "cm5"; # Hardware target: CM5/RPi5
|
||||
# Fixes the landscape orientation at boot
|
||||
videoMode = "720x1280M@60D,panel_orientation=right_side_up";
|
||||
};
|
||||
|
||||
# Firmware for Wi-Fi and Bluetooth
|
||||
hardware.enableRedistributableFirmware = true;
|
||||
hardware.raspberry-pi."5".apply-overlays-dtmerge.enable = true;
|
||||
|
||||
# Enable GPU acceleration (VideoCore VII)
|
||||
hardware.graphics.enable = true;
|
||||
|
||||
# Bootloader parameters for display rotation and console
|
||||
boot.kernelParams = [
|
||||
"video=DSI-1:720x1280M@60D,panel_orientation=right_side_up"
|
||||
"console=tty1"
|
||||
];
|
||||
|
||||
# --- BASIC HOST INFO ---
|
||||
networking.hostName = "uConsole";
|
||||
networking.networkmanager.enable = true;
|
||||
time.timeZone = "America/Montreal";
|
||||
i18n.defaultLocale = "en_CA.UTF-8";
|
||||
|
||||
# --- GPS DAEMON ---
|
||||
services.gpsd = {
|
||||
enable = true;
|
||||
devices = [ "/dev/ttyAMA0" ]; # Default port for RPi5/CM5 GPS
|
||||
nowait = true;
|
||||
};
|
||||
|
||||
# --- USER CONFIGURATION ---
|
||||
users.users.thierry = {
|
||||
isNormalUser = true;
|
||||
description = "Thierry";
|
||||
extraGroups = [
|
||||
"wheel" # Sudo
|
||||
"dialout" # Access to serial/HAM rigs
|
||||
"plugdev" # Access to USB SDRs
|
||||
"wireshark" # Packet capture without root
|
||||
"video" # Hardware acceleration access
|
||||
"networkmanager"
|
||||
];
|
||||
openssh.authorizedKeys.keys = [
|
||||
keys.users.gortium.main
|
||||
keys.users.gortium.gitea
|
||||
];
|
||||
};
|
||||
|
||||
# --- INTERFACE (WAYLAND/SWAY) ---
|
||||
# Sway is recommended for the uConsole's low resources
|
||||
programs.sway = {
|
||||
enable = true;
|
||||
extraOptions = [ "--unsupported-gpu" ]; # Often needed for RPi
|
||||
};
|
||||
|
||||
# --- SOFTWARE TOOLKITS ---
|
||||
environment.systemPackages = with pkgs; [
|
||||
# Base Tools (for your Doom Emacs environment)
|
||||
emacs-pgtk # Emacs with Wayland support
|
||||
git # Required for Doom Emacs / Flakes
|
||||
ripgrep # Fast searching for Emacs/CLI
|
||||
fd # Better find for Emacs
|
||||
htop # Resource monitor
|
||||
tmux # Terminal multiplexer
|
||||
neovim # Alternative editor
|
||||
|
||||
# HAM RADIO (Digital Modes)
|
||||
js8call # Weak-signal keyboard messaging
|
||||
wsjtx # FT8, JT65, etc.
|
||||
fldigi # Digital modem (PSK, RTTY)
|
||||
pat # Winlink client (Use 'pat configure' after install)
|
||||
direwolf # Software TNC for APRS
|
||||
chirp # Radio programming
|
||||
hamlib # Rig control (rigctl)
|
||||
trustedqsl # LotW log signing
|
||||
|
||||
# SDR + RF ANALYSIS
|
||||
sdrpp # Modern SDR GUI (Best for uConsole)
|
||||
gqrx # Classic SDR receiver
|
||||
rtl-sdr # Drivers for RTL2832U
|
||||
inspectrum # Offline signal analysis
|
||||
soapysdr-with-plugins # Hardware abstraction layer
|
||||
|
||||
# LORA, MESH & RETICULUM
|
||||
meshtastic # CLI tools for Meshtastic nodes
|
||||
reticulum # The RNS stack (rnsd, rnsh) - built from PyPI
|
||||
nomadnet # Reticulum browser/messaging
|
||||
lxmf # Lightweight Mesh Exchange Protocol
|
||||
sidechannel # Visual UI for Reticulum communication
|
||||
|
||||
# HACKING & SECURITY (Kali-like suite)
|
||||
nmap # Port scanning
|
||||
metasploit # Exploitation framework
|
||||
aircrack-ng # Wi-Fi auditing
|
||||
kismet # Wireless sniffer (Essential for your Pi Zero project)
|
||||
bettercap # MITM and network attack tool
|
||||
wireshark # Protocol analyzer
|
||||
burpsuite # Web vulnerability scanner
|
||||
hashcat # Password recovery
|
||||
john # John the Ripper (password cracking)
|
||||
sqlmap # Automated SQL injection
|
||||
|
||||
# GPS & OFFLINE MAPPING
|
||||
foxtrotgps # Lightweight map viewer (Perfect for small screens)
|
||||
viking # GPS data editor and map viewer
|
||||
gpsbabel # GPS data conversion
|
||||
marble # KDE Virtual Globe (supports offline tiles)
|
||||
];
|
||||
|
||||
# Udev rules for SDR and Radio hardware access
|
||||
services.udev.packages = [
|
||||
pkgs.rtl-sdr
|
||||
pkgs.librtlsdr
|
||||
];
|
||||
|
||||
# Enable Wireshark privilege separation
|
||||
programs.wireshark.enable = true;
|
||||
|
||||
# Enable OpenSSH
|
||||
services.openssh = {
|
||||
enable = true;
|
||||
settings.PermitRootLogin = "prohibit-password";
|
||||
};
|
||||
|
||||
# System state version
|
||||
system.stateVersion = "23.11";
|
||||
}
|
||||
30
hosts/uconsole/hardware-configuration.nix
Normal file
30
hosts/uconsole/hardware-configuration.nix
Normal file
@@ -0,0 +1,30 @@
|
||||
{ config, lib, pkgs, modulesPath, ... }:
|
||||
|
||||
{
|
||||
imports =
|
||||
[ (modulesPath + "/installer/scan/not-detected.nix")
|
||||
];
|
||||
|
||||
boot.initrd.availableKernelModules = [ "xhci_pci" "usbhid" "sdhci_pci" ];
|
||||
boot.initrd.kernelModules = [ ];
|
||||
boot.kernelModules = [ ];
|
||||
boot.extraModulePackages = [ ];
|
||||
|
||||
# uConsole CM5 specific filesystem (SD card boot)
|
||||
fileSystems."/" =
|
||||
{ device = "/dev/disk/by-label/NIXOS_SD";
|
||||
fsType = "ext4";
|
||||
options = [ "noatime" ];
|
||||
};
|
||||
|
||||
fileSystems."/boot" =
|
||||
{ device = "/dev/disk/by-label/FIRMWARE";
|
||||
fsType = "vfat";
|
||||
};
|
||||
|
||||
swapDevices = [ ];
|
||||
|
||||
# uConsole CM5 is ARM64
|
||||
nixpkgs.hostPlatform = lib.mkDefault "aarch64-linux";
|
||||
hardware.enableRedistributableFirmware = true;
|
||||
}
|
||||
@@ -18,5 +18,9 @@
|
||||
gitea = "";
|
||||
bootstrap = "age1r796v2uldtspawyh863pks74sd2pwcan8j4e4pjzsvkmr3vjja9qpz5ste";
|
||||
};
|
||||
# uConsole CM5 - key to be generated on first boot
|
||||
uconsole = {
|
||||
main = "";
|
||||
};
|
||||
};
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user