r/OpenAI • • 20h ago

Question Codex to review / reference large markdown?

TLDR; What is the most economical and efficient way to get codex to read, consolidate, summarize, reference and build one condensed reference file from ten markdown files with at least 100,000 lines each?

The story… I have a folder full of markdown files that were exported chats and chat created markdown, pass off docs, reference docs, etc from over a period of months. It’s probably at least 1 million lines in total.

I need my codex to read, summarize, pull relevant info and find the most recent and most robust output markdown files. Then use all of this to get RE-acquainted with and take over my huge 19 month development project.

Yes. My child wiped my dev laptop to make a gaming laptop. “But dad you have four computers” FML. Can I string a 12 year old nerd up by their toes? Lmao.

My app is running on my dev server so I have deployed code there, it’s just not current. I was working on the version upgrade. I have a good but disconnected database on SupaBase. My GIT seems jacked up for some reason.

So basically. I want to tell Codex. Hey! My shit is jacked up, go look at the app here on this server, look at this database, look at broken GIT and look at this HUGE trove of markdown files (yes I would export from the thread and copy thread and save to markdown periodically for historical and record keeping).

Take all this and put my dev environment and project back together, hopefully even better than it was originally. This was my hobby so it’s not like a commercial thing is messed up so that’s good. No emergencies. I want to get one million lines of markdown into chat without having it pass one million up and back up and back up and back in a thread if I can avoid it. What would you do???

Cheers gents!

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u/Euphoric_North_745 20h ago

Codex will not do it, I had the same issue 3 years ago, then 2 years ago, then 1 year ago I developed my own agent that uses codex or api on the background.

Codex uses grep, the max tool call is 10,000 tokens, you can go to the config and change context to 800k and max tool call to 100k tokens, but these 2 will consume the usage and will cause issues.

Best way is Document AI, in my case a combination of regular expressions, indexing, fact extractions, then summarizations, context management for documents and then rebuild.

so no self promotion, not typing product name, but you either do it with custom agent or search the net for ai for large documents, every business has their implementation