codex

feat(core) update Personality on turn (#9644 )

## Summary
Support updating Personality mid-Thread via UserTurn/OverwriteTurn. This
is explicitly unused by the clients so far, to simplify PRs - app-server
and tui implementations will be follow-ups.

## Testing
- [x] added integration tests

Dylan Hurd · 2026-01-22 12:04:23 -08:00

8b3521ee77

feat(personality) introduce model_personality config (#9459 )

## Summary
Introduces the concept of a config model_personality. I would consider
this an MVP for testing out the feature. There are a number of
follow-ups to this PR:

- More sophisticated templating with validation
- In-product experience to manage this

## Testing
- [x] Testing locally

Dylan Hurd · 2026-01-20 11:06:14 -08:00

714151eb4e

fix(core) Preserve base_instructions in SessionMeta (#9427 )

## Summary
This PR consolidates base_instructions onto SessionMeta /
SessionConfiguration, so we ensure `base_instructions` is set once per
session and should be (mostly) immutable, unless:
- overridden by config on resume / fork
- sub-agent tasks, like review or collab


In a future PR, we should convert all references to `base_instructions`
to consistently used the typed struct, so it's less likely that we put
other strings there. See #9423. However, this PR is already quite
complex, so I'm deferring that to a follow-up.

## Testing
- [x] Added a resume test to assert that instructions are preserved. In
particular, `resume_switches_models_preserves_base_instructions` fails
against main.

Existing test coverage thats assert base instructions are preserved
across multiple requests in a session:
- Manual compact keeps baseline instructions:
core/tests/suite/compact.rs:199
- Auto-compact keeps baseline instructions:
core/tests/suite/compact.rs:1142
- Prompt caching reuses the same instructions across two requests:
core/tests/suite/prompt_caching.rs:150 and
core/tests/suite/prompt_caching.rs:157
- Prompt caching with explicit expected string across two requests:
core/tests/suite/prompt_caching.rs:213 and
core/tests/suite/prompt_caching.rs:222
- Resume with model switch keeps original instructions:
core/tests/suite/resume.rs:136
- Compact/resume/fork uses request 0 instructions for later expected
payloads: core/tests/suite/compact_resume_fork.rs:215

Dylan Hurd · 2026-01-19 21:59:36 -08:00

675f165c56

renaming: task to turn (#8963 )

jif-oai · 2026-01-09 17:31:17 +00:00

1aed01e99f

clean: all history cloning (#8916 )

jif-oai · 2026-01-08 18:17:18 +00:00

69898e3dba

feat: add compaction event (#7289 )

jif-oai · 2025-11-25 16:12:14 +00:00

9ba27cfa0a

[app-server & core] introduce new codex error code and v2 app-server error events (#6938 )

This PR does two things:
1. populate a new `codex_error_code` protocol in error events sent from
core to client;
2. old v1 core events `codex/event/stream_error` and `codex/event/error`
will now both become `error`. We also show codex error code for
turncompleted -> error status.

new events in app server test:
```
< {
<   "method": "codex/event/stream_error",
<   "params": {
<     "conversationId": "019aa34c-0c14-70e0-9706-98520a760d67",
<     "id": "0",
<     "msg": {
<       "codex_error_code": {
<         "response_stream_disconnected": {
<           "http_status_code": 401
<         }
<       },
<       "message": "Reconnecting... 2/5",
<       "type": "stream_error"
<     }
<   }
< }

 {
<   "method": "error",
<   "params": {
<     "error": {
<       "codexErrorCode": {
<         "responseStreamDisconnected": {
<           "httpStatusCode": 401
<         }
<       },
<       "message": "Reconnecting... 2/5"
<     }
<   }
< }

< {
<   "method": "turn/completed",
<   "params": {
<     "turn": {
<       "error": {
<         "codexErrorCode": {
<           "responseTooManyFailedAttempts": {
<             "httpStatusCode": 401
<           }
<         },
<         "message": "exceeded retry limit, last status: 401 Unauthorized, request id: 9a1b495a1a97ed3e-SJC"
<       },
<       "id": "0",
<       "items": [],
<       "status": "failed"
<     }
<   }
< }
```

Celia Chen · 2025-11-20 23:06:55 +00:00

9bce050385

Revert "[core] add optional status_code to error events (#6865 )" (#6955 )

This reverts commit c2ec477d93.

# External (non-OpenAI) Pull Request Requirements

Before opening this Pull Request, please read the dedicated
"Contributing" markdown file or your PR may be closed:
https://github.com/openai/codex/blob/main/docs/contributing.md

If your PR conforms to our contribution guidelines, replace this text
with a detailed and high quality description of your changes.

Include a link to a bug report or enhancement request.

Celia Chen · 2025-11-20 01:26:14 +00:00

72a1453ac5

[core] add optional status_code to error events (#6865 )

We want to better uncover error status code for clients. Add an optional
status_code to error events (thread error, error, stream error) so app
server could uncover the status code from the client side later.

in event log:
```
< {
<   "method": "codex/event/stream_error",
<   "params": {
<     "conversationId": "019a9a32-f576-7292-9711-8e57e8063536",
<     "id": "0",
<     "msg": {
<       "message": "Reconnecting... 5/5",
<       "status_code": 401,
<       "type": "stream_error"
<     }
<   }
< }
< {
<   "method": "codex/event/error",
<   "params": {
<     "conversationId": "019a9a32-f576-7292-9711-8e57e8063536",
<     "id": "0",
<     "msg": {
<       "message": "exceeded retry limit, last status: 401 Unauthorized, request id: 9a0cb03a485067f7-SJC",
<       "status_code": 401,
<       "type": "error"
<     }
<   }
< }
```

Celia Chen · 2025-11-19 19:51:21 +00:00

c2ec477d93

chore: consolidate compaction token usage (#6894 )

jif-oai · 2025-11-19 11:26:01 +00:00

3e9e1d993d

Run remote auto compaction (#6879 )

pakrym-oai · 2025-11-19 00:43:58 -08:00

75f38f16dd

fix: local compaction (#6844 )

jif-oai · 2025-11-18 22:18:10 +00:00

c56d0c159b

Add the utility to truncate by tokens (#6746 )

- This PR is to make it on path for truncating by tokens. This path will
be initially used by unified exec and context manager (responsible for
MCP calls mainly).
- We are exposing new config `calls_output_max_tokens`
- Use `tokens` as the main budget unit but truncate based on the model
family by Introducing `TruncationPolicy`.
- Introduce `truncate_text` as a router for truncation based on the
mode.

In next PRs:
- remove truncate_with_line_bytes_budget
- Add the ability to the model to override the token budget.

Ahmed Ibrahim · 2025-11-18 11:36:23 -08:00

3de8790714

feat: remote compaction (#6795 )

Co-authored-by: pakrym-oai <pakrym@openai.com>

jif-oai · 2025-11-18 16:51:16 +00:00

838531d3e4

14 Commits