[Proposal] Versioned Session Action Export

To be honest it seems pointless , and not usable

thats what , thirdparty tools like clawbot for or whatever

@failuresmith Its seems to already happen

see the MEMROES option in codex

sometimes it even cites memorizes

side nodes it feels like [word][word][word][word][injecting a prompt to cite a memory]

this is the feel I get from this codex option

(all tho I think my idea should be better, but likely ruins some benchmark, )

codex 5.4 is the the same kid as mini,,
mmini has a memory issue it sometimes forget and it tkaes it more time to do the task (like a 3 more tools calls )

@Mahkhmood9, please stop spamming our issue tracker.

for exmaple I used non openai on chromium codebase

I spent like 2 pro accounts weekly usage rate limit ,, becuase of a bug tat the other llm did

all it all to do is "See the current Git-uncommited code"----

but instead gpt 5.4

kept spewing... more and more and more code, like more code going to improve it

next I clean everything -- return the MASTER branch

I gave it access to a test file , that works in golang

i told it to use the QUIC golang implementation
I told it to keep executing the golang demo file

it worked first prompt , after I ... me the developer,,, had the talent to understand its slop over slop

but gpt 5.4 is able to work great with the currect prompt---

but I honestly BEGGGGGED IT I beg the llm to do I used the same wording before
--- but I had to start fresh, because it tried to use the current session tokens too hard

moral of the story, gpt 5.4 is able to impkemenet very complex code ideas c++ and udp socks5 is not well documented, so gpt 5.4 didnt used online refrences
it used good old .... large language next token prediection....

it understand to use rg , it understood how to crawl the chromium codebase ......

hereis the refrenced code
(AGAIN DONT COME AFTER MY ACCOUNT PLEASE ,,, I am not generating nodejs slop ,,, see me as imprvoing your dataset ! )
(I always share the code and allow data collection, to improve the models ---- see me as an artifact of training)
Sorry for making free accounts

https://github.com/islamjapan/chromium/commit/972e368647a2bb6c2acc734b434ae8f9eeb48eb9#diff-2ed71751e47fa36f67cfbc71f9c96174578201eb4b189038d7f2cae4a7cdbc16

anyways I dont even know basic syntax in c++. I dont know how to deal with compiling this large codebase

like how I am a person know to go to
@@ -27,11 +27,13 @@ SOCKSSocketParams::SOCKSSocketParams(

and know I should add
auth_credentials_(std::move(auth_credentials)),
std::optional<AuthCredentials> auth_credentials,

and think about std:: and optional

we reached AGI

Adding one downstream-tool perspective from Agent Sessions, which reads local Codex session history for search, transcript browsing, resume workflows, and subagent hierarchy display.

The most useful contract for external tools would be a versioned projection over persisted history, not the raw rollout JSONL shape. In practice, the hard part is distinguishing:

• actions that never became durable,
• actions that are durable but intentionally redacted/truncated,
• events that exist only as realtime app-server notifications,
• child/subagent sessions that should be represented as separate durable sessions with a parent edge,
• cwd/session identity changes that affect whether a resume command is meaningful.

A small V1 projection would already help if it exposed stable identifiers and ordering:

• session_id
• turn_id
• timestamp
• action_type
• tool_name
• status
• cwd
• changed_paths
• optional parent_session_id / child_session_id edges for subagents

I would keep prompt text and reasoning out of V1 by default. For local history tools, the highest-value data is usually action ordering, durable status, cwd/path identity, and lineage. That is enough to answer "what happened in this session?", "which subprocess changed this file?", and "can this session be resumed safely?" without making internal rollout files a public API.

Project for context: https://github.com/jazzyalex/agent-sessions

This overlaps with what I'm building in Clean My Agent — a local desktop app that reads Codex session JSONLs and exports structured session data. I'd be happy to compare notes if a stable external surface gets defined.

A useful V1 action export should be based on stable action ids and source offsets, not rendered transcript text.

Minimum fields: schema version, session id, turn id, action id, parent action id, action kind, tool_call id, cwd, command/args, exit status, files touched, timestamps, redaction flags, and source JSONL byte range.

That gives downstream tools reproducibility without depending on private rollout shapes.

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_Generated with ax._