# LLM-Suite Installatiehandleiding (Whisper, Piper, Ollama, ha-llm-bridge, LiteLLM)

Deze handleiding beschrijft stap-voor-stap hoe je de volledige LLM-suite op een nieuwe server kunt installeren — inclusief NVIDIA GPU-ondersteuning, Docker, configuratiebestanden en koppeling met Home Assistant.

---

## 0. Systeempreparatie (Ubuntu 22.04/24.04 met NVIDIA GPU)

### Updates en tools
```bash
sudo apt update && sudo apt -y upgrade
sudo apt -y install curl ca-certificates gnupg lsb-release git
```

### NVIDIA-driver installeren
```bash
sudo ubuntu-drivers install
sudo reboot
```

Na herstart:
```bash
nvidia-smi
```

### Docker installeren
```bash
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker.gpg
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

sudo apt update
sudo apt -y install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
sudo usermod -aG docker $USER
newgrp docker
```

### NVIDIA Container Toolkit
```bash
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)  && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit.gpg  && curl -fsSL https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list  | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit.gpg] https://#g'  | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

sudo apt update
sudo apt -y install nvidia-container-toolkit
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
```

---

## 1. Mappenstructuur & .env-bestand

```bash
sudo mkdir -p /docker/appdata/llm-suite/{wyoming-whisper,wyoming-piper,ollama,ha-llm-bridge,litellm}
sudo mkdir -p /docker/appdata/llm-suite/ha-llm-bridge/app
sudo touch /docker/appdata/llm-suite/ha-llm-bridge/requirements.txt
sudo chown -R $USER: /docker/appdata
```

Maak het **.env** bestand:
```bash
cat > /docker/appdata/llm-suite/.env << 'EOF'
HA_WEBHOOK_URL=https://jouw-ha-domein.example/api/webhook/ha-llm-bridge
LITELLM_MASTER_KEY=supergeheimesleutel
EOF
```

---

## 2. Docker Compose-bestand

Sla dit bestand op als `/docker/appdata/llm-suite/docker-compose.yml`:

```yaml
<-- volledige YAML zoals in vorige bericht (om redenen van lengte niet herhaald) -->
```

---

## 3. ha-llm-bridge bestanden

### requirements.txt
```txt
fastapi==0.115.5
uvicorn[standard]==0.32.0
httpx==0.27.2
pydantic==2.9.2
```

### main.py
```python
import os
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class EchoIn(BaseModel):
    text: str

@app.get("/healthz")
def health():
    return {"status": "ok"}

@app.post("/echo")
def echo(payload: EchoIn):
    return {"ok": True, "echo": payload.text, "model": os.getenv("OLLAMA_MODEL", "unset")}
```

### system_prompt.txt
```txt
Je bent een behulpzame Nederlandstalige assistent. Antwoord kort, feitelijk en bruikbaar voor Home Assistant automations.
```

### entities.json
```json
[
  "light.woonkamer",
  "switch.keuken",
  "media_player.tv",
  "climate.thermostaat"
]
```

---

## 4. LiteLLM Configuratie

Maak `/docker/appdata/llm-suite/litellm/config.yaml`:

```yaml
model_list:
  - model_name: qwen2-local
    litellm_params:
      model: ollama/qwen2:7b-instruct-q4_K_M
      api_base: http://ollama:11434
      timeout: 120

general_settings:
  master_key: ${LITELLM_MASTER_KEY}
```

---

## 5. Opstarten

```bash
cd /docker/appdata/llm-suite
docker compose -f docker-compose.yml up -d
```

Model downloaden:
```bash
docker exec -it ollama ollama pull qwen2:7b-instruct-q4_K_M
```

---

## 6. Health Checks

```bash
curl -s http://localhost:11434/api/tags | jq
curl -s -H "Authorization: Bearer supergeheimesleutel" http://localhost:4000/v1/models | jq
curl -s http://localhost:8082/healthz
curl -s -X POST http://localhost:8082/echo -H 'Content-Type: application/json' -d '{"text":"ping"}'
```

---

## 7. Home Assistant Integratie

- STT: Wyoming STT → `dockerhost:10300`
- TTS: Wyoming TTS → `dockerhost:10200`
- LLM (OpenAI compatible):
  - Base URL: `http://dockerhost:4000/v1`
  - API Key: `supergeheimesleutel`
  - Model: `qwen2-local`

---

## 8. Beheer en Upgrades

```bash
docker compose ps
docker logs -f ollama
docker compose pull && docker compose up -d
```

---

## 9. Troubleshooting

- GPU niet zichtbaar → `nvidia-smi` en runtime check.
- Model ontbreekt → juiste tag downloaden.
- Port conflicts → poort aanpassen in Compose.
- HA kan niet verbinden → test met curl vanaf HA host.

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© 2025 Marco Voskuil — GPEU / voskuil.cloud