Salvatore artydev

Ollama × websocketd

A minimal, zero-dependency browser chat interface for local Ollama models, built on websocketd and a bare-metal C# streaming bridge.

Browser ←── WebSocket ──→ websocketd ←── stdin / stdout ──→ C# bridge ←── HTTP/2 ──→ Ollama

	# Termina: Reactive Terminal UI Framework for .NET

	## Overview

	Termina is a reactive terminal UI (TUI) framework for .NET that enables developers to build beautiful, interactive terminal applications with declarative layouts and reactive state management. It provides an MVVM architecture with automatic UI updates, ASP.NET Core-style routing, and seamless integration with Microsoft.Extensions.DependencyInjection and Microsoft.Extensions.Hosting.

	Version: 0.15.1 (at documentation time)
	License: Apache 2.0
	Repository: https://github.com/Aaronontheweb/Termina
	Documentation: https://aaronstannard.com/termina/

	import { get, set, del } from 'https://cdn.jsdelivr.net/npm/idb-keyval@6/+esm';

	/* ──────────────────────────────────────────────────────────────
	DOM REFS
	────────────────────────────────────────────────────────────── */
	const log = document.getElementById("log");
	const input = document.getElementById("input");
	const sessionBar = document.getElementById("sessionBar");
	const terminalPrompt = document.getElementById("terminalPrompt");
	const mcpDot = document.getElementById("mcpDot");

	using System;
	using System.Buffers;
	using System.Collections.Generic;
	using System.IO;
	using System.Net.Http;
	using System.Runtime.CompilerServices;
	using System.Text;
	using System.Text.Json;
	using System.Threading;
	using System.Threading.Tasks;

	using System;
	using System.Collections.Generic;
	using System.IO;
	using System.Linq;
	using System.Net.Http;
	using System.Text;
	using System.Text.Json;
	using System.Text.Json.Serialization;
	using System.Text.RegularExpressions;
	using System.Threading;

	```cs
	using System;
	using System.Collections.Generic;
	using System.Linq;
	using System.Net.Http;
	using System.Text;
	using System.Text.Json;
	using System.Text.Json.Serialization;
	using System.Text.RegularExpressions;
	using System.Threading.Tasks;

	using System.ClientModel;
	using System.Text.Json;
	using System.Text.Json.Nodes;
	using System.Text.Json.Serialization;
	using System.Text.RegularExpressions;
	using OpenAI;
	using OpenAI.Chat;

	// create Model for lfm2 cf previous lmf2-tools

	/*
	* TestLfmTools.cs
	* LFM2.5-1.2B tool calling test — rewritten with the OpenAI NuGet package.
	* Ollama exposes an OpenAI-compatible endpoint, so no manual ChatML or
	* regex parsing needed.
	*
	* Requirements: .NET 8+
	* dotnet add package OpenAI --version 2.*
	*
	* NOTE: Tool calling via the OpenAI-compatible endpoint requires the model

	"""
	Test script for LFM2.5-1.2B tool calling via Ollama.
	Uses LFM2.5's native ChatML + Pythonic tool call format directly,
	since the community Ollama upload lacks a tools template.

	Make sure Ollama is running and the model is pulled:
	ollama pull hadad/LFM2.5-1.2B:Q4_K_M
	"""

	import ast