James Alan Bush theoknock
theoknock
/ Add Agent Guardrails.py
Last active
November 27, 2025 04:24
Build with AI: Create Agents with the OpenAI Agents SDK
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| """ | |
| Build with AI: Create Agents with the OpenAI Agents SDK | |
| All examples use Python and the OpenAI client. | |
| Prereqs: | |
| pip install -r requirements.txt | |
| export API_KEY = os.environ[...] or set the api_key to the client | |
| """ | |
| import os |
theoknock
/ DOMWebKitElements.swift
Last active
November 15, 2025 02:48
Lists all DOM elements from page loaded with WebKit.
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| import SwiftUI | |
| import WebKit | |
| import Combine | |
| import Observation | |
| @Observable class MyWebViewModel { | |
| var webPage = WebPage() | |
| func load(url: URL) async { | |
| webPage.load(URLRequest(url: url)) |
theoknock
/ ChatGPT_Web_to_Desktop_App.swift
Last active
November 4, 2025 04:45
Use the more fully featured ChatGPT web app on the macOS desktop.
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| // | |
| // ContentView.swift | |
| // WebBrowser2025-iPhone | |
| // | |
| // Created by Xcode Developer on 11/3/25. | |
| // | |
| import SwiftUI | |
| import WebKit |
theoknock
/ ContentView.swift
Last active
October 30, 2025 13:04
A Swift/SwiftUI app that calculates planetary hour data.
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| // | |
| // TempSwiftUIView.swift | |
| // PlanetaryHours2025-Claude | |
| // | |
| // Created by Xcode Developer on 10/30/25. | |
| // | |
| import SwiftUI | |
| import WeatherKit | |
| import CoreLocation |
theoknock
/ ContentView.swift
Last active
October 12, 2025 05:34
A SwiftUI text-to-speech app that parses SSML-like markup (e.g., <prosody>, etc.) to read text with dynamic pacing, pitch, and volume controls using AVSpeechSynthesizer. Features play/pause/stop controls and real-time adjustment sliders for speech rate, pitch, and volume.
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| // | |
| // ContentView.swift | |
| // DesiderataReader | |
| // | |
| // Created by Xcode Developer on 10/11/25. | |
| // | |
| import SwiftUI | |
| import AVFoundation | |
| import Combine |
theoknock
/ SystemLanguageModel.swift
Last active
November 22, 2025 07:49
A workaround to the overly cautious guardrail violations policy used by the default SystemLanguageModel.
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| import Foundation | |
| import FoundationModels // Docs: https://developer.apple.com/documentation/foundationmodels | |
| import Playgrounds // #Playground macro: https://developer.apple.com/documentation/xcode/running-code-snippets-using-the-playground-macro | |
| #Playground { | |
| do { | |
| let instructions = """ | |
| You are an interactive thesaurus. Task: Given a word and a starting letter, return a synonym of the word that starts with the letter. | |
| """ |
theoknock
/ ChatGPT 5 Simple Prompt and Response via curl
Created
July 29, 2025 20:39
A simple prompt and response via curl using ChatGPT 5
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| # Save in "payload.json" | |
| { | |
| "model": "chatgpt-5", | |
| "messages": [ | |
| { | |
| "role": "system", | |
| "content": "Your instructions:\n When prompted with a specific psalm (e.g., \"Psalm 23\" or \"23\"), you will write a six-paragraph abstract of psalm \\(abstract.psalmNumber) by following the $ | |
| }, | |
| { |
theoknock
/ Run a Local Chat Completion with System Instructions Using DeepSeek.sh
Last active
July 29, 2025 20:21
A prompt to a locally hosted deepseek-coder-v2-lite-instruct-mlx and ChatGPT 5 models via LM Studio’s OpenAI-compatible API.
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| # Prompt | |
| curl http://localhost:1234/v1/chat/completions \ | |
| -H "Content-Type: application/json" \ | |
| -d '{ | |
| "model": "deepseek-coder-v2-lite-instruct-mlx", | |
| "messages": [ | |
| { "role": "system", "content": "Answer all English questions in Spanish" }, | |
| { "role": "user", "content": "How are you?" } | |
| ], |
theoknock
/ Query OpenAI Chat Model and Print Clean Assistant Reply (Python).swift
Created
July 29, 2025 19:29
Sends a user prompt to the GPT-4 API with a system role defining assistant behavior. It extracts and prints only the assistant’s response, omitting all metadata and token usage details. Clean and ready for direct terminal output or integration into larger apps.
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| from openai import OpenAI | |
| client = OpenAI() | |
| response = client.chat.completions.create( | |
| model="gpt-4-1106-preview", | |
| messages=[ | |
| {"role": "system", "content": "You are a helpful AI assistant."}, | |
| {"role": "user", "content": "List 3 countries and their capitals."} | |
| ], |
theoknock
/ Stream and Assemble OpenAI Chat Response in Python.swift
Last active
July 29, 2025 19:14
Sends a chat prompt to the OpenAI API using streaming mode and reconstructs the full response by concatenating incoming chunks.
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| from openai import OpenAI | |
| client = OpenAI() | |
| stream = client.chat.completions.create( | |
| model="gpt-4-1106-preview", # or "gpt-4.1" if that's valid in your setup | |
| messages=[ | |
| { | |
| "role": "user", | |
| "content": "Say 'double bubble bath' ten times fast.", |
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