LLM 0.32a0 is a major backwards-compatible refactor

·Simon Willison··

I just released LLM 0.32a0, an alpha release of my LLM Python library and CLI tool for accessing LLMs, with some consequential changes that I've been working towards for quite a while. Previous versions of LLM modeled the world in terms of prompts and responses. Send the model a text prompt, get back a text response. import llm model = llm.get_model("gpt-5.5") response = model.prompt("Capital of France?") print(response.text()) This made sense when I started working on the library back in April ...

Read full article →

Related Articles

OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
donsupreme · Hacker News · 18d ago
Accelerating Gemma 4: faster inference with multi-token prediction drafters
amrrs · Hacker News · 15d ago
A couple million lines of Haskell: Production engineering at Mercury
unignorant · Hacker News · 18d ago
Using “underdrawings” for accurate text and numbers
samcollins · Hacker News · 19d ago
ProgramBench: Can language models rebuild programs from scratch?
jonbaer · Hacker News · 14d ago