# LLM 发布 0.32rc1 版本，采用内容可寻址哈希ID实现消息去重与分叉对话，并新增对多款 GPT-5.6 模型的支持

- 来源：Simon Willison
- 发布时间：2026-07-30 23:30
- AIWatch 分数：68
- AIWatch 标记：当日精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kytmty60r16sha8x9hqs1cxx
- 原文链接：https://simonwillison.net/2026/Jul/30/llm-rc1/#atom-everything

## 精选理由

常规快讯，保留列表

## AI 摘要

LLM 发布 0.32rc1 版本，采用内容可寻址哈希ID实现消息去重与分叉对话，并新增对多款 GPT-5.6 模型的支持。

## 正文

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.