amosgyamfi

from phi.agent import Agent
from phi.model.openai import OpenAIChat

task = "Create a SwiftUI view that allows users to switch between the tab bar and sidebar views using TabView and .tabView(.sidebarAdaptable) modifier. Put the content in TabSidebar.swift"

reasoning_agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    reasoning=True,
    markdown=True,
    structured_outputs=True,

amosgyamfi

from phi.agent import Agent
from phi.model.openai import OpenAIChat
from phi.tools.duckduckgo import DuckDuckGo
from phi.tools.yfinance import YFinanceTools


web_search_agent = Agent(
    name="Web Search Agent",
    role="Search the web for information",
    model=OpenAIChat(id="gpt-4o"),

amosgyamfi

from phi.agent import Agent
from phi.model.openai import OpenAIChat
from phi.tools.duckduckgo import DuckDuckGo

web_agent = Agent(
    name="Web Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGo()],
    instructions=["Always include sources"],
    show_tool_calls=True,

amosgyamfi

from phi.agent import Agent
from phi.model.openai import OpenAIChat
from phi.tools.duckduckgo import DuckDuckGo

web_agent = Agent(
    name="Web Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[DuckDuckGo()],
    instructions=["Always include sources"],
    show_tool_calls=True,

amosgyamfi

//
//  Thinking2.swift
//  CoreSwiftUI
//
import SwiftUI

struct ThinkingWithAlex: View {
    @State private var currentPhraseIndex = 0
    private let timer = Timer.publish(every: 5, on: .main, in: .common).autoconnect()
    @State private var thinking = true

amosgyamfi

# We are now heading towards the future where AI agents will be used to perform many of our daily routine tasks. Anthropic, Microsoft Copilot Studio, IBM Agent. Swarm provides a simple and clean framework for building and running agents with pure Python code.
from swarm import Swarm, Agent

# Define your preferred model to use. If you dont specify a model, the default will be gpt-4o. So you can override it with a smaller model if you want.
mini_model = "gpt-4o-mini"

# Start an agent: Initialize a swarm client. This is the entry point for all agents. Behind the scenes, it will manage the API calls to the LLM provider.
client = Swarm()

amosgyamfi

import os
import openai
import chainlit as cl

from llama_index.core import (
    Settings,
    StorageContext,
    VectorStoreIndex,
    SimpleDirectoryReader,
    load_index_from_storage,

amosgyamfi

//
//  ThreadsLogoDrawing.swift
//  CoreSwiftUI

import SwiftUI

struct ThreadsLogoPath: Shape {
    func path(in rect: CGRect) -> Path {
        var path = Path()
        let width = rect.size.width

amosgyamfi

//
//  BasiciOSCalculator.swift

import SwiftUI

struct BasiciOSCalculator: View {
    @State private var displayValue: String = "0"
    @State private var currentOperation: Operation? = nil
    @State private var previousValue: Double? = nil
    @State private var shouldResetDisplay: Bool = false

amosgyamfi

//
//  MovingDashPhaseButton.swift
//  CoreSwiftUI
//
//  Created by Amos Gyamfi on 24.8.2024.
//

import SwiftUI

struct MovingDashPhaseButton: View {