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