You Should Write An Agent
Code
The full code from the article:
import json
import subprocess
from openai import OpenAI
client = OpenAI()
tools = [{
"type": "function",
"name": "ping",
"description": "ping some host on the Internet",
"parameters": {
"type": "object",
"properties": {
"host": {
"type": "string",
"description": "hostname or IP",
},
},
"required": ["host"],
},
}]
context = []
def ping(host=""):
try:
result = subprocess.run(
["ping", "-c", "5", host],
text=True,
stderr=subprocess.STDOUT,
stdout=subprocess.PIPE)
return result.stdout
except Exception as e:
return f"error: {e}"
def call(tools):
return client.responses.create(model="gpt-5", tools=tools, input=context)
def tool_call(item):
result = ping(**json.loads(item.arguments))
return [item, {
"type": "function_call_output",
"call_id": item.call_id,
"output": result
}]
def handle_tools(tools, response):
if response.output[0].type == "reasoning":
context.append(response.output[0])
osz = len(context)
for item in response.output:
if item.type == "function_call":
context.extend(tool_call(item))
return len(context) != osz
def process(line):
context.append({"role": "user", "content": line})
response = call(tools)
while handle_tools(tools, response):
response = call(tools)
context.append({"role": "assistant", "content": response.output_text})
return response.output_text
def main():
while True:
line = input("> ")
result = process(line)
print(f">>> {result}\n")
if __name__ == "__main__":
main()https://transitions.substack.com/p/what-burning-26-billion-prompt-tokens
https://github.com/vinhnx/vtcode
https://ampcode.com/how-to-build-an-agent
https://github.com/gustofied/P2Engine
https://x.com/rerundotio/status/1968806896959402144
https://simonwillison.net/2025/Aug/9/