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llm 0.32rc1

Summary

LLM 0.32rc1 introduces a new schema design with content-addressable hash IDs for stored messages, enabling deduplication and support for forked conversation trees. It also adds support for three new GPT-5.6 models. Users are advised to backup logs.db before upgrading.

llm 0.32rc1
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Release: llm 0.32rc1

Simon Willison’s Weblog

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30th July 2026

Release

llm 0.32rc1 — Access large language models from the command-line

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.

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Key points and analysis

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Key points

  • New schema uses content-addressable hash IDs for message deduplication.
  • Enables representation of forked conversation trees.
  • Adds support for gpt-5.6-sol, gpt-5.6-terra, and gpt-5.6-luna.
  • Users should backup logs.db before upgrading.

Highlights and analysis are generated automatically and may contain errors. Check the original source.