[sdesol]

If you include the following:

https://github.com/gitsense/chat/blob/main/base-state/analyz...

In your chat with AI, include the above file and let it know what your requirements are and I can create the analyzer and include it.

You can also think of my tool as data prepping tool. So if you have a clear prompt the AI can review the file during analysis and remove all unnecessary code so the extracted metadata will the stripped text which you can use search against.

[andai]

> If a developer wanted to change X, would these keywords help them find this file?

I think the best way to generate these is with a sub-agent. Tell it to try and solve a problem that involves editing this file, and see what it starts grepping for.

This ties in with this idea that the tools and designs should be what comes naturally to the LLM, i.e. what it's already been trained on. And the most straightforward way to do that is to let it reach for it.

Like when you reach in the darkness for an object. Where your hand lands is exactly where it should be.

[sdesol]

My solution has a natural self improvement loop. Once you have finished a task, you just ask the agent "If you had more information, how would you have finished the task sooner and/or better?" This was how I came about the rust blast radius brain.

I need to modify OpenAI's Codex agent to support slash commands that can help humans better guide agents, and I needed a solution with the least impact. They don't accept contributions so I need to plan for syncing with the upstream.

[andai]

Nice, tell me more about your Codex fork.

Are you running it with official or custom models? I've been trying to get custom models working in Codex and haven't been able to figure it out. (A lot of providers support Responses API, but they don't actually work with Codex.)

[sdesol]

I haven't made any changes yet and I think the changes that I do make, they will want. I want to create a `/knowledge` slash command that can quickly tell me what the Agent currently knows so I can determine if I need to perform "lobotomy surgery" to make it not know something or add what it needs.

I created a new brain that helped me find the answer for what you described:

> Codex does not just need a /v1/responses endpoint. It needs an OpenAI Responses-compatible agent surface. Many providers implement enough Responses API for text streaming, but not enough for Codex’s tool-call loop and event mapping.

I can understand why they might have done this for performance and/or lock-in and/or AI thinking reasons.

I don't think I will create a translation layer, as that would be a sync nightmare, so based on what I found and what you said, it doesn't look like you can use other providers unless you introduce a proxy layer to translate things.

I should also note, even if you have the translation layer, you might end up breaking harness capabilities.

I am going to update

https://github.com/gitsense/smart-codex

to include the `codex-rust-navigation` brain that you can use to chat with AI about. And you will probably want to use it since `gpt-5.5` estimated that 25 - 50 files did not have to be read:

> Roughly 300-500 files avoided, with a defensible lower bound around 25-50 files.

This brain is designed specifically for rust files so you will need to use code-intent if you want to ask more documention/config questions.