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Introduction of SynapseUI
2 weeks ago
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TestUser
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2 weeks ago
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I'm introducing SynapseUI, which I've been planning and coding for a while.
 
The aim of the project is to have a UI that will manage AI LLM models. It is the first and only UI that will manage models with a chain structure. It will also be node-based, so it is inspired by ComfyUI.
 
Example:
[PromptNode]
|
| Kullanıcının doğal diliyle yazdığı mesaj.
↓
[IntentClassifierNode]
|
| Görev: Prompt'un niyetini analiz etmek.
| Model: Ollama üzerinde çalışan küçük bir instruct model (örneğin: mistral:instruct).
| Çıktı örneği:
| {
| "intent": "generate_image",
| "arguments": {
| "prompt": "a futuristic robot"
| }
| }
↓
+---------------------------------------------+
| intent = "generate_image" → [ImageGenNode] |
| intent = "caption_image" → [VisionNode] |
| intent = "search" → [ToolNode] |
| intent = "chat" → (direkt geçer) |
+---------------------------------------------+
↓
(ara çıktılar toplanır ve aktarılır)
↓
[SystemPromptNode] ← (opsiyonel, sabit rol tanımı)
|
| İçerik: Modelin yanıt biçimini kontrol eder.
| Örn: "You are a helpful assistant that always answers in markdown."
↓
[MainModelNode]
|
| Ana LLM (mistral, llama2, gemma vb.) ile nihai yanıt üretilir.
↓
[RunNode]
↓
[ChatPanel / OutputDisplay]

 
Or simple:
 


The project is in a very early stage for now, I've made the Github page public but there's nothing to test at the moment.
 
I wrote a template engine with a custom syntax structure(XenForo like) for this project, it has a framework that works more container-based, I named it SynapticFramework, but in the end it is a Par3. Currently, it supports structures such as GPU passtrough. There is an Ollama service and I have already written an API management for Ollama on the PHP side.
 
https://github.com/par274/synapseui
 
I uploaded the project with its own Docker manager. The project will work entirely with Docker so that once the project is executable or useful, they can run it in Docker effortlessly.
This post TestUser edited by 2 weeks ago.

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