LLM 0.32 released with reasoning traces, OpenAI Responses, content-addressable logs
Simon Willison released LLM 0.32, a major update to his command-line tool for interacting with large language models. The release adds support for visible reasoning traces, server-side provider tools, and a redesigned content-addressable SQLite log system that de-duplicates stored messages. It also introduces new default models and features enabled by the OpenAI Responses API, alongside an updated llm-anthropic plugin.
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Simon Willison
Release: llm 0.32rc1 This RC for LLM 0.32 finishes the work that started in LLM 0.32a0 - it adds a new schema design that does a much better job of capturing the details of the prompts and responses returned by the latest model families. The most important change is the use of content-addressable hash IDs for stored messages. This allows de-duplication in the database, and means that LLM can now represent trees of messages for forked conversations. Since it involves a significant schema change - new tables only, and old data should not be affected at all - it's worth running a backup of your existing logs.db before upgrading to the RC: llm logs backup logs-backup.db The RC also adds support for gpt-5.6-sol , gpt-5.6-terra , and gpt-5.6-luna . Tags: llm
Release: llm 0.32rc2 Hot on the heels of RC1 , this fixes a dependency issue and also adds two neat new features: The default model for users who have not set their own default is now GPT-5.6 Luna . It was previously GPT-4o mini . Luna is a much better and more recent model, albeit slightly more expensive - $0.20 per million input tokens and $1.20 per million output tokens, compared to $0.15/$0.60 for 4o mini. You can switch back to 4o mini using llm models default gpt-4o-mini , or switch to GPT-5 nano , an even cheaper default model ($0.05/$0.40), using llm models default gpt-5-nano . #1576 New llm openai endpoint command for running prompts, chats and model listings against arbitrary OpenAI-compatible endpoints without first configuring a model. These calls are not logged. #1565 The llm openai endpoint command is really cool. I got frustrated at the lack of an obvious CLI tool for trying out prompts against arbitrary OpenAI Chat Completions imitation endpoints, so I decided to add th
Release: llm 0.32 See my detailed blog post about this release . Tags: llm
I released LLM 0.32 this morning, the most significant new version of LLM since the initial launch of the project. The new version includes support for visible reasoning traces, server-side provider tools, redesigned content-addressable SQLite logs, new models, and new features enabled by the OpenAI Responses API. I also released a new version of the llm-anthropic plugin with substantial updates of its own. Headline features for LLM CLI users Running LLM against reasoning models now displays their reasoning traces to standard error, so you can see what they are "thinking" without that information being included in the standard output that you might pipe to another tool. Add -R/--hide-reasoning to turn this off. LLM includes support out-of-the-box for the GPT-5.6 model family , and the new default model used with llm "prompt" is now the inexpensive but capable GPT-5.6 Luna . LLM calls can now use server-side tools from various providers. OpenAI provide a code execution environment as a
