# Alternatives for the EDIT tool of LLM agents

DevFeed: [Alternatives for the EDIT tool of LLM agents](<https://devfeed.tech/articles/alternatives-for-the-edit-tool-of-llm-agents-20657.md>)

Original publisher: [Read original article](<http://antirez.com/news/166>)

Published: 2026-05-19T07:26:03Z

Content type: opinion

Language: en

Sources: [Antirez](<https://devfeed.tech/sources/antirez.md>)

Topics: [Tool](<https://devfeed.tech/topics/tool.md>), [Local AI](<https://devfeed.tech/topics/local-ai.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [alternatives](<https://devfeed.tech/tags/alternatives.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [local-llm](<https://devfeed.tech/tags/local-llm.md>), [tool](<https://devfeed.tech/tags/tool.md>)

## AI overview

The article proposes a tag-based EDIT tool for LLM agents that preserves check-and-set semantics while reducing the tokens needed to repeat old text. It uses short line checksums alongside line numbers so edits can be validated without reproducing the original content.

## Source excerpt

EDIT: of course this was already done in the past! I had little doubts but people just confirmed me about it on Twitter :) But, keep reading: the CRC32 compromise at the end is an interesting tradeoff, and this is a good discussion to have in general. Right now I'm working to an agent for my DS4 project. Local inference is token-poor, it's a battlefield where optimizations count. I was quite surprised by the fact the EDIT tool everybody is using right now forces the LLM to emit the old version of the text verbatim. This CAS (check and set) mode of operation, where I say EDIT old="foo" new="bar", is needed because there are often colliding edits (the user is editing as well, or checked out a different branch, and so forth) and because the LLM can just hallucinate that a given line had a given content. This means, basically, that just using line numbers is very fragile: to say, change line 22 with new="foobar" is not good. Yet I don't want my local LLM to throw away tokens rewriting the old text each time, also because certain times the old text has a lot of special chars and spaces that the model may get wrong; in this case the tool would fail, forcing the LLM to do the same edit again. So I (re)designed a tag-based EDIT tool that is still CAS style, but more tokens efficient. The READ and SEARCH tools return something like that: 10:Q8fA int count = 10; 11:rA3_ if (count > limit) { 12:Kq9z count = limit; 13:PX0b } So there are line numbers and tags. The tag is 4 chars, on average 2.5 LLM tokens, representing a checksum of the line. Now the LLM can edit like this: { "tool": "edit", "path": "/tmp/example.c", "line": 10, "tag": "Q8fA", "new": "int count = 11;" } Or, multi line, like this: { "tool": "edit", "path": "/tmp/example.c", "lines": "11:rA3_\n12:Kq9z\n13:PX0b", "new": "if (count > limit)\n return limit;" } The saving is significant especially when the agent is deleting big amounts of text, but also in the general case. However, there is some overhead due to the