Claude Code in 9 lines python

I was wondering what a minimal coding agent implementation would look like that can be used like Claude Code or Codex Not feature-by-feature of course but basically stripping everything out that is not needed here is what I came up with: 9 lines of python no 3rd party deps (stdlib only) works with any OpenAI Responses compatible API shows % usage of context window out of the box it is also fairly API cost efficient: no system prompt good caching (session_id, stable append-only history) only one tool: sh code is on github to follow along (also a ~20 line version in Go, Clojure version coming soon) https://github.com/smol-env/smol import json,sys;from subprocess import getoutput;from urllib.request import Request,urlopen;from uuid import uuid4 url=sys.argv[1];h=[];H={"Content-Type":"application/json","session_id":uuid4().hex};b=dict(model="gpt-5.6-sol",input=h,tools=[dict(type="custom",name="sh")]) while True: if not(p:=input("> ")).strip():continue h+=[dict(role="user",content=p)] while True: r=json.load(urlopen(Request(url,json.dumps(b).encode(),H)));o=r["output"];h+=o;c=[i for i in o if i["type"]=="custom_tool_call"] if not c:print(o[-1]["content"][0]["text"],f'n[{r["usage"]["total_tokens"]/10500:05.2f}%]');break h+=[dict(type="custom_tool_call_output",call_id=i["call_id"],output=getoutput(i["input"])) for i in c] note: it uses the "custom" tools api which not many OpenAI Responses API endpoints support yet. that said, you can just tell your agent to change it to use sh via "function_call" and change the model name and it should work out of the box on any local inference endpoint any questions or feedback for making it more minimal or adding (still minimal but useful) features: very welcome! submitted by /u/__tosh [link] [comments]

Source: r/LocalLLaMA | 2026-08-08

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