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+# 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.
+
+---
+
+© 2025 Marco Voskuil — GPEU / voskuil.cloud