Claude Code 的"扩展思维"只是总结,而非真实推理
阅读原文· patrickmccanna.netClaude Code 将会话记录写入磁盘,其中包含“thinking blocks”,但实际存储的是 600 字符的加密签名,而非推理文本。Anthropic 持有密钥,本地机器无法获取。API 仅返回推理的摘要,而非完整推理过程,获取完整思维输出需要企业协议。作者指出,通过 ctrl+o 获取的“扩展思维”输出是 Fable/Opus 推理的摘要,而非驱动模型行为的实际推理,存在数据丢失。本地文件无法提供智能体使用的逻辑记录,即使抓取输入、输出和动作,也无法获得实际推理。
Claude Code records each session to disk. Those logs include “thinking blocks” — the model’s own reasoning as it works.
I went to inspect that reasoning this weekend and found a signature (600 characters long) and no text.
So I read the docs: https://platform.claude.com/docs/en/build-with-claude/extended-thinking
Some details worth being aware of:
- Claude encrypts its reasoning into that signature.
- Anthropic holds the key. Your machine doesn’t receive it.
- The API hands back a SUMMARY of reasoning, NOT the reasoning itself.
- Getting the full thinking output requires an enterprise agreement.
Matt Green looked into this and has some more detailed observations on the signature blocks.
This is worth knowing before you promise anyone an audit trail. Also- BEWARE: The “extended-thinking” output from ctrl+o is a summary of Fable/Opus’ thinking. It isn’t the actual thinking that drove the model’s actions in a session- but a summary of the thinking logic. This is like using saving a jpeg as a .bmp and then editing the .bmp and presenting it as a .jpeg. The conversion produces data loss.
I’m underwhelmed by how Anthropic is presenting the behavior of their application. If you ever need a record of the logic a used by YOUR AGENT during a session:
- you can’t produce one using the local files. The reasoning logs on your system are not accessible to you.
- You can log the inputs, the outputs, and the actions of a running Claude code with some scrappy scraping- but even then- it’s not the actual reasoning that drove the agent’s behavior.
And the language in the docs is awfully indirect. If you haven’t had your coffee, you might miss that “extended thinking returns a summary of Claude’s full thinking process”

Performance improvements in Open Source models need to come faster.