Commit Graph
126 Commits
Author SHA1 Message Date
zhao-oaiandGitHub b8eab7ce90 fix: taking plan type from usage endpoint instead of thru auth token (#7610)
pull plan type from the usage endpoint, persist it in session state /
tui state, and propagate through rate limit snapshots
2025-12-04 23:34:13 -08:00
Ahmed IbrahimandGitHub cee37a32b2 Migrate model family to models manager (#7565)
This PR moves `ModelsFamily` to `openai_models`. It also propagates
`ModelsManager` to session services and use it to drive model family. We
also make `derive_default_model_family` private because it's a step
towards what we want: one place that gives model configuration.

This is a second step at having one source of truth for models
information and config: `ModelsManager`.

Next steps would be to remove `ModelsFamily` from config. That's massive
because it's being used in 41 occasions mostly pre launching `codex`.
Also, we need to make `find_family_for_model` private. It's also big
because it's being used in 21 occasions ~ all tests.
2025-12-03 18:49:47 -08:00
zhao-oaiandGitHub 5ebdc9af1b persisting credits if new snapshot does not contain credit info (#7490)
in response to incoming changes to responses headers where the header
may sometimes not contain credits info (no longer forcing a credit
check)
2025-12-02 16:23:24 -05:00
Ahmed IbrahimandGitHub b519267d05 Account for encrypted reasoning for auto compaction (#7113)
- The total token used returned from the api doesn't account for the
reasoning items before the assistant message
- Account for those for auto compaction
- Add the encrypted reasoning effort in the common tests utils
- Add a test to make sure it works as expected
2025-11-22 03:06:45 +00:00
Ahmed IbrahimandGitHub 3de8790714 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.
2025-11-18 11:36:23 -08:00
03ffe4d595 core/tui: non-blocking MCP startup (#6334)
This makes MCP startup not block TUI startup. Messages sent while MCPs
are booting will be queued.


https://github.com/user-attachments/assets/96e1d234-5d8f-4932-a935-a675d35c05e0


Fixes #6317

---------

Co-authored-by: pakrym-oai <pakrym@openai.com>
2025-11-17 11:26:11 -08:00
jif-oaiandGitHub 2a417c47ac feat: proxy context left after compaction (#6597) 2025-11-13 16:54:03 +01:00
Ahmed IbrahimandGitHub 1a89f70015 refactor Conversation history file into its own directory (#6229)
This is just a refactor of `conversation_history` file by breaking it up
into multiple smaller ones with helper. This refactor will help us move
more functionality related to context management here. in a clean way.
2025-11-05 10:49:35 -08:00
Ahmed IbrahimandGitHub 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-oaiandGitHub 1b8f2543ac Filter out reasoning items from previous turns (#5857)
Reduces request size and prevents 400 errors when switching between API
orgs.

Based on Responses API behavior described in
https://cookbook.openai.com/examples/responses_api/reasoning_items#caching
2025-10-28 11:39:34 -07:00
Ahmed IbrahimandGitHub 0f4fd33ddd Moving token_info to ConversationHistory (#5581)
I want to centralize input processing and management to
`ConversationHistory`. This would need `ConversationHistory` to have
access to `token_info` (i.e. preventing adding a big input to the
history). Besides, it makes more sense to have it on
`ConversationHistory` than `state`.
2025-10-23 20:30:58 -07:00
Ahmed IbrahimandGitHub 273819aaae Move changing turn input functionalities to ConversationHistory (#5473)
We are doing some ad-hoc logic while dealing with conversation history.
Ideally, we shouldn't mutate `vec[responseitem]` manually at all and
should depend on `ConversationHistory` for those changes.

Those changes are:
- Adding input to the history
- Removing items from the history
- Correcting history

I am also adding some `error` logs for cases we shouldn't ideally face.
For example, we shouldn't be missing `toolcalls` or `outputs`. We
shouldn't hit `ContextWindowExceeded` while performing `compact`

This refactor will give us granular control over our context management.
2025-10-22 13:08:46 -07:00
pakrym-oaiandGitHub 3c90728a29 Add new thread items and rewire event parsing to use them (#5418)
1. Adds AgentMessage,  Reasoning,  WebSearch items.
2. Switches the ResponseItem parsing to use new items and then also emit
3. Removes user-item kind and filters out "special" (environment) user
items when returning to clients.
2025-10-22 10:14:50 -07:00
pakrym-oaiandGitHub 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-oaiandGitHub 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
jif-oaiandGitHub 5e4f3bbb0b chore: rework tools execution workflow (#5278)
Re-work the tool execution flow. Read `orchestrator.rs` to understand
the structure
2025-10-20 20:57:37 +01:00
Ahmed IbrahimandGitHub 049a61bcfc Auto compact at ~90% (#5292)
Users now hit a window exceeded limit and they usually don't know what
to do. This starts auto compact at ~90% of the window.
2025-10-20 11:29:49 -07:00
pakrym-oaiandGitHub 2287d2afde Create independent TurnContexts (#5308)
The goal of this change:
1. Unify user input and user turn implementation.
2. Have a single place where turn/session setting overrides are applied.
3. Have a single place where turn context is created.
4. Create TurnContext only for actual turn and have a separate structure
for current session settings (reuse ConfigureSession)
2025-10-18 17:43:08 -07:00
pakrym-oaiandGitHub c03e31ecf5 Support graceful agent interruption (#5287) 2025-10-17 18:52:57 +00:00
jif-oaiandGitHub 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
Ahmed IbrahimandGitHub 90ef94d3b3 Surface context window error to the client (#4675)
In the past, we were treating `input exceeded context window` as a
streaming error and retrying on it. Retrying on it has no point because
it won't change the behavior. In this PR, we surface the error to the
client without retry and also send a token count event to indicate that
the context window is full.

<img width="650" height="125" alt="image"
src="https://github.com/user-attachments/assets/c26b1213-4c27-4bfc-90f4-51a270a3efd5"
/>
2025-10-05 01:40:06 +00:00
jif-oaiandGitHub 69cb72f842 chore: sandbox refactor 2 (#4653)
Revert the revert and fix the UI issue
2025-10-03 11:17:39 +01:00
Ahmed IbrahimandGitHub ed5d656fa8 Revert "chore: sanbox extraction" (#4626)
Reverts openai/codex#4286
2025-10-02 21:09:21 +00:00
jif-oaiandGitHub b8195a17e5 chore: sanbox extraction (#4286)
# Extract and Centralize Sandboxing
- Goal: Improve safety and clarity by centralizing sandbox planning and
execution.
  - Approach:
- Add planner (ExecPlan) and backend registry (Direct/Seatbelt/Linux)
with run_with_plan.
- Refactor codex.rs to plan-then-execute; handle failures/escalation via
the plan.
- Delegate apply_patch to the codex binary and run it with an empty env
for determinism.
2025-10-01 12:05:12 +01:00
jif-oaiandGitHub 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
jif-oaiandGitHub 250b244ab4 ref: full state refactor (#4174)
## Current State Observations
- `Session` currently holds many unrelated responsibilities (history,
approval queues, task handles, rollout recorder, shell discovery, token
tracking, etc.), making it hard to reason about ownership and lifetimes.
- The anonymous `State` struct inside `codex.rs` mixes session-long data
with turn-scoped queues and approval bookkeeping.
- Turn execution (`run_task`) relies on ad-hoc local variables that
should conceptually belong to a per-turn state object.
- External modules (`codex::compact`, tests) frequently poke the raw
`Session.state` mutex, which couples them to implementation details.
- Interrupts, approvals, and rollout persistence all have bespoke
cleanup paths, contributing to subtle bugs when a turn is aborted
mid-flight.

## Desired End State
- Keep a slim `Session` object that acts as the orchestrator and façade.
It should expose a focused API (submit, approvals, interrupts, event
emission) without storing unrelated fields directly.
- Introduce a `state` module that encapsulates all mutable data
structures:
- `SessionState`: session-persistent data (history, approved commands,
token/rate-limit info, maybe user preferences).
- `ActiveTurn`: metadata for the currently running turn (sub-id, task
kind, abort handle) and an `Arc<TurnState>`.
- `TurnState`: all turn-scoped pieces (pending inputs, approval waiters,
diff tracker, review history, auto-compact flags, last agent message,
outstanding tool call bookkeeping).
- Group long-lived helpers/managers into a dedicated `SessionServices`
struct so `Session` does not accumulate "random" fields.
- Provide clear, lock-safe APIs so other modules never touch raw
mutexes.
- Ensure every turn creates/drops a `TurnState` and that
interrupts/finishes delegate cleanup to it.
2025-09-25 12:16:06 +02:00