UV-Python-Manager

openai_references.txt

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="gemini-1.5-flash-002",
    api_key='<KEY>',
    base_url="https://generativelanguage.googleapis.com/v1beta/",
    temperature=0,
    max_tokens=None,
    timeout=None,
    max_retries=2,
)

if __name__ == "__main__":
    while True:
        user_input = input("You: ")
        if user_input.lower() == 'exit':
            break
        
        response = llm.invoke([
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": user_input}
        ])

        print("Assistant:", response.content)

---------------------------

Run OpenAI Swarm Framework

Setup following environment variables[for Ollama,rest are the same]
export OPENAI_MODEL_NAME=llama-3.2
export OPENAI_BASE_URL=http://localhost:11434/v1
export OPENAI_API_KEY=your_api_key_here

Rest of the thing are same as per swarm documentations

uv_python_execution_without_python_configuration.md

/// script

requires-python = ">=3.8"

dependencies = ["requests==2.28.1"]

///

import requests import sys

def get_website_status(url): """Fetches the status code of a website.""" try: response = requests.get(url) response.raise_for_status() # Raise an exception for bad status codes return response.status_code except requests.exceptions.RequestException as e: print(f"Error fetching URL: {e}") return None

if name == "main": url = "https://www.google.com" # Example website status_code = get_website_status(url)

if status_code:
    print(f"Status code for {url}: {status_code}")
    print(f"Status for python version {sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}")