Commit Graph
20 Commits
Author SHA1 Message Date
Michael Bolin 2e751fd1d2 Apply argument comment lint across codex-rs 2026-03-13 18:45:09 -07:00
Owen Lin 289ed549cf chore(otel): rename OtelManager to SessionTelemetry (#13808)
## Summary
This is a purely mechanical refactor of `OtelManager` ->
`SessionTelemetry` to better convey what the struct is doing. No
behavior change.

## Why

`OtelManager` ended up sounding much broader than what this type
actually does. It doesn't manage OTEL globally; it's the session-scoped
telemetry surface for emitting log/trace events and recording metrics
with consistent session metadata (`app_version`, `model`, `slug`,
`originator`, etc.).

`SessionTelemetry` is a more accurate name, and updating the call sites
makes that boundary a lot easier to follow.

## Validation

- `just fmt`
- `cargo test -p codex-otel`
- `cargo test -p codex-core`
2026-03-06 16:23:30 -08:00
Owen Lin 27724f6ead feat(core, tracing): add a span representing a turn (#13424)
This is PR 3 of the app-server tracing rollout.

PRs https://github.com/openai/codex/pull/13285 and
https://github.com/openai/codex/pull/13368 gave us inbound request spans
in app-server and propagated trace context through Submission. This
change finishes the next piece in core: when a request actually starts a
turn, we now create a core-owned long-lived span that stays open for the
real lifetime of the turn.

What changed:
- `Session::spawn_task` can now optionally create a long-lived turn span
and run the spawned task inside it
- `turn/start` uses that path, so normal turn execution stays under a
single core-owned span after the async handoff
- `review/start` uses the same pattern
- added a unit test that verifies the spawned turn task inherits the
submission dispatch trace ancestry

**Why**
The app-server request span is intentionally short-lived. Once work
crosses into core, we still want one span that covers the actual
execution window until completion or interruption. This keeps that
ownership where it belongs: in the layer that owns the runtime
lifecycle.
2026-03-04 11:09:17 -08:00
Owen Lin 52521a5e40 feat(app-server): propagate app-server trace context into core (#13368)
### Summary
Propagate trace context originating at app-server RPC method handlers ->
codex core submission loop (so this includes spans such as `run_turn`!).
This implements PR 2 of the app-server tracing rollout.

This also removes the old lower-level env-based reparenting in core so
explicit request/submission ancestry wins instead of being overridden by
ambient `TRACEPARENT` state.

### What changed
- Added `trace: Option<W3cTraceContext>` to codex_protocol::Submission
- Taught `Codex::submit()` / `submit_with_id()` to automatically capture
the current span context when constructing or forwarding a submission
- Wrapped the core submission loop in a submission_dispatch span
parented from Submission.trace
- Warn on invalid submission trace carriers and ignore them cleanly
- Removed the old env-based downstream reparenting path in core task
execution
- Stopped OTEL provider init from implicitly attaching env trace context
process-wide
- Updated mcp-server Submission call sites for the new field

Added focused unit tests for:
- capturing trace context into Submission
- preferring `Submission.trace` when building the core dispatch span

### Why
PR 1 gave us consistent inbound request spans in app-server, but that
only covered the transport boundary. For long-running work like turns
and reviews, the important missing piece was preserving ancestry after
the request handler returns and core continues work on a different async
path.

This change makes that handoff explicit and keeps the parentage rules
simple:
- app-server request span sets the current context
- `Submission.trace` snapshots that context
- core restores it once, at the submission boundary
- deeper core spans inherit naturally

That also lets us stop relying on env-based reparenting for this path,
which was too ambient and could override explicit ancestry.
2026-03-04 01:03:45 +00:00
pash-openai 2f5b01abd6 add fast mode toggle (#13212)
- add a local Fast mode setting in codex-core (similar to how model id
is currently stored on disk locally)
- send `service_tier=priority` on requests when Fast is enabled
- add `/fast` in the TUI and persist it locally
- feature flag
2026-03-02 20:29:33 -08:00
pakrym-oaiandCodex 97d0068658 Send warmup request (#11258)
Send a request with `generate: falls` but a full set of tools and
instructions to pre-warm inference.

---------

Co-authored-by: Codex <noreply@openai.com>
2026-02-24 08:15:47 -08:00
pash-openai 6c0a924203 turn metadata: per-turn non-blocking (#11677) 2026-02-13 12:48:29 -08:00
pakrym-oai c68999ee6d Prefer websocket transport when model opts in (#11386)
Summary
- add a `prefer_websockets` field to `ModelInfo`, defaulting to `false`
in all fixtures and constructors
- wire the new flag into websocket selection so models that opt in
always use websocket transport even when the feature gate is off

Testing
- Not run (not requested)
2026-02-10 18:50:48 -08:00
pakrym-oai ccd17374cb Move warmup to the task level (#11216)
Instead of storing a special connection on the client level make the
regular task responsible for establishing a normal client session and
open a connection on it.

Then when the turn is started we pass in a pre-established session.
2026-02-09 10:57:52 -08:00
Ahmed Ibrahim b11e96fb04 Act on reasoning-included per turn (#9402)
- Reset reasoning-included flag each turn and update compaction test
2026-01-19 11:23:25 -08:00
Anton Panasenko 51d75bb80a fix: drop session span at end of the session (#9126) 2026-01-13 11:36:00 -08:00
jif-oai 1aed01e99f renaming: task to turn (#8963) 2026-01-09 17:31:17 +00:00
jif-oaiandAnton Panasenko d7482510b1 nit: trace span for regular task (#8053)
Logs are too spammy

---------

Co-authored-by: Anton Panasenko <apanasenko@openai.com>
2025-12-16 16:53:15 +00:00
Anton Panasenko ad7b9d63c3 [codex] add otel tracing (#7844) 2025-12-12 17:07:17 -08:00
Ahmed Ibrahim 13e1d0362d Delegate review to codex instance (#5572)
In this PR, I am exploring migrating task kind to an invocation of
Codex. The main reason would be getting rid off multiple
`ConversationHistory` state and streamlining our context/history
management.

This approach depends on opening a channel between the sub-codex and
codex. This channel is responsible for forwarding `interactive`
(`approvals`) and `non-interactive` events. The `task` is responsible
for handling those events.

This opens the door for implementing `codex as a tool`, replacing
`compact` and `review`, and potentially subagents.

One consideration is this code is very similar to `app-server` specially
in the approval part. If in the future we wanted an interactive
`sub-codex` we should consider using `codex-mcp`
2025-10-29 21:04:25 +00:00
pakrym-oai 789e65b9d2 Pass TurnContext around instead of sub_id (#5421)
Today `sub_id` is an ID of a single incoming Codex Op submition. We then
associate all events triggered by this operation using the same
`sub_id`.

At the same time we are also creating a TurnContext per submission and
we'd like to start associating some events (item added/item completed)
with an entire turn instead of just the operation that started it.

Using turn context when sending events give us flexibility to change
notification scheme.
2025-10-21 08:04:16 -07:00
pakrym-oai 9c903c4716 Add ItemStarted/ItemCompleted events for UserInputItem (#5306)
Adds a new ItemStarted event and delivers UserMessage as the first item
type (more to come).


Renames `InputItem` to `UserInput` considering we're using the `Item`
suffix for actual items.
2025-10-20 13:34:44 -07:00
pakrym-oai c03e31ecf5 Support graceful agent interruption (#5287) 2025-10-17 18:52:57 +00:00
jif-oai 268a10f917 feat: add header for task kind (#5142)
Add a header in the responses API request for the task kind (compact,
review, ...) for observability purpose
The header name is `codex-task-type`
2025-10-14 15:17:00 +00:00
jif-oai 1fc3413a46 ref: state - 2 (#4229)
Extracting tasks in a module and start abstraction behind a Trait (more
to come on this but each task will be tackled in a dedicated PR)
The goal was to drop the ActiveTask and to have a (potentially) set of
tasks during each turn
2025-09-26 13:49:08 +00:00