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The text in Claude Code’s “Extended Thinking” output

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NOW LET US Article – The text in Claude Code’s “Extended Thinking” output

A developer discovered that Claude Code encrypts its local reasoning logs, leaving users with only a summary of the AI's thinking process. This raises transparency and auditing concerns, highlighting the limitations of proprietary AI models.

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.

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.

© 2026 Now Let Us. All rights reserved.

Source: Hacker News

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