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# Reference Guide: Open WebUI & Hailo-10H NPU Stack
This document serves as a complete technical reference for the architecture, service definitions, API schemas, and deployment designs implemented to connect **Open WebUI** (on Pi 4) with the **Hailo-10H NPU HAT+** (on Pi 5).
---
## 1. System Architecture Layout
```mermaid
graph TD
subgraph Host_Pi4 ["Debian 13 Pi 4 (Frontend Host)"]
UI["Open WebUI (Native Python)<br>Port 8080"]
Bridge["Pipelines Service (uvicorn)<br>Port 9099<br>Module: hailo_pipeline.py"]
end
subgraph Host_Pi5 ["Raspberry Pi 5 (NPU Host)"]
NPU_Server["hailo-ollama Server (oatpp)<br>Port 8000"]
NPU_HW["Hailo-10H NPU HAT+<br>(8GB VRAM / 40 TOPS)"]
end
%% Communications Flow
User -->|Browser HTTP| UI
UI -->|OpenAI Chat Request| Bridge
Bridge -->|Ollama Chat JSON Payload| NPU_Server
NPU_Server -->|Model Loading & Graph Execution| NPU_HW
```
---
## 2. Host 1: Raspberry Pi 5 (NPU Inference Engine)
The Pi 5 hosts the physical PCIe Hailo HAT+ hardware and runs the bare-metal, native C++ compiled server `hailo-ollama` powered by the Oatpp framework.
### Service Definition: `/etc/systemd/system/hailo-ollama.service`
```ini
[Unit]
Description=Hailo-Ollama NPU Server
After=network-online.target
[Service]
User=root
Group=root
ExecStart=/usr/bin/hailo-ollama serve
Restart=always
RestartSec=3
Environment="OLLAMA_HOST=0.0.0.0:8000"
Environment="HAILO_MONITOR=1"
[Install]
WantedBy=multi-user.target
```
### Critical Paths & Directories
* **Binary Path**: `/usr/bin/hailo-ollama`
* **Configuration**: `/etc/xdg/hailo-ollama/hailo-ollama.json`
* **Model Manifests (JSON Templates)**: `/usr/share/hailo-ollama/models/manifests/`
* Contains system templates, repetition penalties, stop tokens, and target HEF hashes for models.
* **Model Blob Storage (Downloaded HEF Files)**: `/usr/share/hailo-ollama/models/blob/`
* Downloaded model binaries compiled for the Hailo NPU. Named by their SHA-256 hash.
---
## 3. Host 2: Raspberry Pi 4 (WebUI & Pipelines Bridge)
The Pi 4 runs a native Python 3.11 environment hosting Open WebUI and the Pipelines server. The custom Pipeline script bridges the API mismatch and translates OpenAI requests to Oatpp.
### Service Definition: `/etc/systemd/system/pipelines.service`
```ini
[Unit]
Description=Open WebUI Pipelines Bridge
After=network.target
[Service]
User=root
Group=root
WorkingDirectory=/root/open-webui/pipelines
Environment="PATH=/root/open-webui/venv/bin:/usr/local/bin:/usr/bin:/bin"
Environment="PIPELINES_API_KEY=hailo-bridge"
ExecStart=/root/open-webui/venv/bin/uvicorn main:app --host 0.0.0.0 --port 9099 --workers 1
Restart=always
RestartSec=3
[Install]
WantedBy=multi-user.target
```
### Script Location: `/root/open-webui/pipelines/pipelines/hailo_pipeline.py`
This script implements:
1. **Manifold Pipeline Spec**: Exposes sub-models cleanly to Open WebUI's dropdown.
2. **Namespace Stripping**: Cleans model identifiers prepended by WebUI.
3. **Response Key Hierarchy**: Safely extracts inference text from different key structures (Ollama nested, direct content/response keys, OpenAI choices).
4. **Graceful Streaming Loops**: Handles SSE line-by-line buffers and yields tokens before evaluating completion flags.
---
## 4. API & Communication Schemas (Oatpp)
The `hailo-ollama` service mimics the Ollama REST API. However, it requires explicit model preparation.
### 4.1. Pull Model Endpoint (Downloads weights to local NPU blob store)
* **URL**: `POST http://140.44.4.7:8000/api/pull`
* **Request Payload**:
```json
{
"model": "llama3.2:3b"
}
```
* **Behavior**: Downloads the model over the internet and compiles/saves the hardware HEF binary to `/usr/share/hailo-ollama/models/blob/`. If the model is not pulled, `/api/chat` returns a 200 OK with `"error": "model not found"`.
### 4.2. Chat Inference Endpoint
* **URL**: `POST http://140.44.4.7:8000/api/chat`
* **Request Payload**:
```json
{
"model": "llama3.2:3b",
"messages": [
{"role": "user", "content": "Hi"}
],
"stream": true
}
```
#### Non-Streaming Response (`"stream": false`)
```json
{
"model": "llama3.2:3b",
"created_at": "2026-07-09T14:00:30.299821983Z",
"message": {
"role": "assistant",
"content": "Hello! How can I help you today?"
},
"done": true,
"done_reason": "stop",
"total_duration": 22737674048,
"eval_count": 58
}
```
#### Streaming Response Chunks (`"stream": true`)
Sent as a series of JSON strings separated by newlines:
```json
{"model":"llama3.2:3b","message":{"role":"assistant","content":"Why"},"done":false}
{"model":"llama3.2:3b","message":{"role":"assistant","content":" couldn"},"done":false}
...
{"model":"llama3.2:3b","message":{"role":"assistant","content":""},"done":true,"done_reason":"stop"}
```
---
## 5. Operations & Troubleshooting Commands
### Tail Service Logs
```bash
# On Pi 4 (WebUI / Pipelines Bridge)
journalctl -u open-webui -f
journalctl -u pipelines -f
# On Pi 5 (NPU Engine)
journalctl -u hailo-ollama -f
```
### Restart Services
```bash
# On Pi 4
systemctl restart pipelines
systemctl restart open-webui
# On Pi 5
systemctl restart hailo-ollama
```
### Clean Stuck NPU Resource Locks
If the C++ server hangs while compiling or loading a model, it can lock `/dev/hailo0`. Use `kill -9` to force-release the NPU:
```bash
# On Pi 5
sudo kill -9 $(pgrep hailo-ollama)
sudo systemctl restart hailo-ollama
```