147 Commits

• Add body_after_prefix auto-compact token limit scope (#22870)

  ## Why
  
  `model_auto_compact_token_limit` has only been able to budget the full
  active context. That makes it hard to set a small "growth since
  compaction" budget for sessions that preserve a large carried window
  prefix: the preserved prefix can consume the whole budget and force
  immediate repeated compaction.
  
  This PR adds an opt-in `body_after_prefix` scope so callers can apply
  `model_auto_compact_token_limit` to sampled output and later growth
  after the current carried prefix, while still forcing compaction before
  the full model context window is exhausted.
  
  ## What changed
  
  - Adds `AutoCompactTokenLimitScope` with the existing `total` behavior
  as the default and a new `body_after_prefix` mode:
  [`config_types.rs`](https://github.com/openai/codex/blob/973806b1cb35792555bead994cb3ed94656eb171/codex-rs/protocol/src/config_types.rs#L24-L37).
  - Threads `model_auto_compact_token_limit_scope` through config loading,
  `Config`, `core-api`, and app-server v2 schema/TypeScript generation.
  - Records the first observed input-token count for a `body_after_prefix`
  compaction window and uses it as the baseline when deciding whether the
  scoped auto-compaction budget is exhausted:
  [`turn.rs`](https://github.com/openai/codex/blob/973806b1cb35792555bead994cb3ed94656eb171/codex-rs/core/src/session/turn.rs#L743-L781).
  - Keeps a hard context-window cap in `body_after_prefix`, so scoped
  budgeting cannot let the active context overrun the usable window.
  
  ## Verification
  
  Added compact-suite coverage for the two key behaviors:
  `body_after_prefix` does not re-compact just because the carried prefix
  is larger than the scoped budget, and it still compacts when the total
  active context reaches the configured context window:
  [`compact.rs`](https://github.com/openai/codex/blob/973806b1cb35792555bead994cb3ed94656eb171/codex-rs/core/tests/suite/compact.rs#L3003-L3128).

  jif-oai · 2026-05-19 10:19:46 +00:00
  80fdd4688f
• cleanup: Remove skill env var dependency prompting (#22721)

  Deletes the skill env var dependency prompt feature and its runtime
  path. env_var entries in skill dependency metadata are now silently
  ignored during skill loading.

  xl-openai · 2026-05-19 01:24:19 +00:00
  6b54ced108
• [codex] Move pending input into input queue (#22728)

  ## Why
  
  Pending model input was split across `Session`, `TurnState`, and the
  agent mailbox. That made it easy for new paths to manage queued user
  input or mailbox delivery outside the intended ownership boundary.
  
  This PR consolidates the model-facing input lifecycle behind the session
  input queue so turn-local pending input, next-turn queued items, and
  mailbox delivery coordination are owned in one place.
  
  ## What Changed
  
  - Added `session/input_queue.rs` to own pending input queues and mailbox
  delivery coordination.
  - Removed the standalone `agent/mailbox.rs` channel wrapper and store
  mailbox items directly in the input queue.
  - Moved pending-input mutations off `TurnState`; `TurnState` now exposes
  the queue-owned storage directly for now.
  - Routed abort cleanup, mailbox delivery phase changes, next-turn queued
  items, and active-turn pending input through `InputQueue`.
  - Boxed stack-heavy agent resume/fork startup futures that the refactor
  pushed over the default test stack.
  - Updated session, task, goal, stream-event, and multi-agent call sites
  and tests to use the new queue ownership.
  
  ## Verification
  
  - `cargo test -p codex-core --lib agent::control::tests`
  - `cargo test -p codex-core --lib
  agent::control::tests::resume_closed_child_reopens_open_descendants --
  --exact`
  - `cargo test -p codex-core --lib
  agent::control::tests::spawn_agent_fork_last_n_turns_keeps_only_recent_turns
  -- --exact`
  - `cargo test -p codex-core --lib
  agent::control::tests::resume_thread_subagent_restores_stored_nickname_and_role
  -- --exact`
  - `cargo test -p codex-core` was also run; it completed with 1814
  passed, 4 ignored, and one timeout in
  `agent::control::tests::resume_thread_subagent_restores_stored_nickname_and_role`,
  which passed when rerun in isolation.

  pakrym-oai · 2026-05-18 15:43:01 -07:00
  afa0101ae2
• Fix turn extension data task plumbing (#22646)

  ## Summary
  - carry the per-turn extension data through RunningTask so abort
  handling can rebuild SessionTaskContext
  - update stale test ExtensionData::new() callsites to pass the turn id
  
  ## Testing
  - Not run after PR branch creation; CI will cover.

  jif-oai · 2026-05-14 16:00:06 +02:00
  12bfb57139
• feat: move extension scope ids into ExtensionData (#22490)

  ## Summary
  - add a scoped level_id to ExtensionData and expose it through
  level_id()
  - remove thread_id/turn_id parameters from extension contributor inputs
  where the scoped ExtensionData already carries that identity
  - move turn-scoped extension data onto TurnContext so token usage and
  lifecycle contributors can share the same turn store
  
  ## Testing
  - cargo check -p codex-extension-api -p codex-core --tests
  - cargo test -p codex-extension-api
  - cargo test -p codex-guardian
  - cargo test -p codex-core --lib
  record_token_usage_info_notifies_extension_contributors
  - cargo test -p codex-core --lib
  submission_loop_channel_close_emits_thread_stop_lifecycle
  - cargo test -p codex-core --lib
  submission_loop_channel_close_aborts_active_turn_before_thread_stop_lifecycle
  - just fix -p codex-extension-api
  - just fix -p codex-guardian
  - just fix -p codex-core
  - just fmt
  
  ## Note
  - Attempted cargo test -p codex-core; it aborted in
  agent::control::tests::spawn_agent_fork_last_n_turns_keeps_only_recent_turns
  with the existing stack overflow before the full suite completed.

  jif-oai · 2026-05-13 16:13:16 +02:00
  1dcc89f1d4
• feat: add turn lifecycle contributors (#22480)

  ## Why
  
  Extensions can already contribute prompt, tool, turn-item, and
  thread-lifecycle behavior, but there was no explicit host-owned hook for
  per-turn setup and cleanup. That makes extension-private turn state
  awkward: an extension either has to stash it outside the turn lifecycle
  or depend on core runtime objects.
  
  This adds a small turn lifecycle boundary. Extensions receive stable
  identifiers plus the existing session, thread, and turn `ExtensionData`
  stores, while core keeps owning task scheduling, cancellation, and turn
  teardown.
  
  ## What Changed
  
  - Added `TurnLifecycleContributor` with `on_turn_start`, `on_turn_stop`,
  and `on_turn_abort` callbacks in `codex-rs/ext/extension-api`.
  - Added typed `TurnStartInput`, `TurnStopInput`, and `TurnAbortInput`
  payloads that expose `thread_id`, `turn_id`, `session_store`,
  `thread_store`, and `turn_store`.
  - Registered and re-exported turn lifecycle contributors through
  `ExtensionRegistry` and `ExtensionRegistryBuilder`.
  - Wired `Session` to emit turn start, stop, and abort callbacks from the
  existing turn/task lifecycle paths.
  - Carried the turn-scoped `ExtensionData` through `RunningTask` and
  `RemovedTask` so stop/abort callbacks receive the same turn store
  created at turn start.
  
  ## Verification
  
  - Not run locally.

  jif-oai · 2026-05-13 13:47:27 +02:00
  27e67a8c2a
• extension: wire extension registries into sessions (#21737)

  ## Why
  
  [#21736](https://github.com/openai/codex/pull/21736) introduces the
  typed extension API, but the runtime does not yet carry a registry
  through thread/session startup or give contributors host-owned stores to
  read from. This PR wires that host-side path so later feature migrations
  can move product-specific behavior behind typed contributions without
  adding another bespoke seam directly to `codex-core`.
  
  ## What changed
  
  - Thread `ExtensionRegistry<Config>` through `ThreadManager`,
  `CodexSpawnArgs`, `Session`, and sub-agent spawn paths.
  - Wire `ThreadStartContributor` and `ContextContributor`
  - Expose the small supporting surface needed by non-core callers that
  construct threads directly, including `empty_extension_registry()`
  through `codex-core-api`.
  
  This PR lands the host plumbing only: the app-server registry is still
  empty, and concrete feature migrations are intended to follow
  separately.

  jif-oai · 2026-05-11 11:38:18 +02:00
  436c0df658
• Reapply "Move skills watcher to app-server" (#21652)

  ## Why
  
  PR #21460 reverted the earlier move of skills change watching from
  `codex-core` into app-server. This reapplies that boundary change so
  app-server owns client-facing `skills/changed` notifications and core no
  longer carries the watcher.
  
  ## What
  
  - Restore the app-server `SkillsWatcher` and register it from thread
  listener setup.
  - Remove the core-owned skills watcher and its core live-reload
  integration surface.
  - Restore app-server coverage for `skills/changed` notifications after a
  watched skill file changes.
  
  ## Validation
  
  - `cargo test -p codex-app-server --test all
  suite::v2::skills_list::skills_changed_notification_is_emitted_after_skill_change
  -- --exact --nocapture`
  - `cargo test -p codex-core --lib --no-run`

  pakrym-oai · 2026-05-08 17:41:15 -07:00
  408e6218ab
• [codex] request desktop attestation from app (#20619)

  ## Summary
  
  TL;DR: teaches `codex-rs` / app-server to request a desktop-provided
  attestation token and attach it as `x-oai-attestation` on the scoped
  ChatGPT Codex request paths.
  
  ![DeviceCheck attestation
  interface](https://raw.githubusercontent.com/openai/codex/dev/jm/devicecheck-diagram-assets/pr-assets/devicecheck-attestation-interface.png)
  
  ## Details
  
  This PR teaches the Codex app-server runtime how to request and attach
  an attestation token. It does not generate DeviceCheck tokens directly;
  instead, it relies on the connected desktop app to advertise that it can
  generate attestation and then asks that app for a fresh header value
  when needed.
  
  The flow is:
  
  1. The Codex desktop app connects to app-server.
  2. During `initialize`, the app can advertise that it supports
  `requestAttestation`.
  3. Before app-server calls selected ChatGPT Codex endpoints, it sends
  the internal server request `attestation/generate` to the app.
  4. app-server receives a pre-encoded header value back.
  5. app-server forwards that value as `x-oai-attestation` on the scoped
  outbound requests.
  
  The code in this repo is mostly protocol and runtime plumbing: it adds
  the app-server request/response shape, introduces an attestation
  provider in core, wires that provider into Responses / compaction /
  realtime setup paths, and covers the intended scoping with tests. The
  signed macOS DeviceCheck generation remains owned by the desktop app PR.
  
  ## Related PR
  
  - Codex desktop app implementation:
  https://github.com/openai/openai/pull/878649
  
  ## Validation
  
  <details>
  <summary>Tests run</summary>
  
  ```sh
  cargo test -p codex-app-server-protocol
  cargo test -p codex-core attestation --lib
  cargo test -p codex-app-server --lib attestation
  ```
  
  Also ran:
  
  ```sh
  just fix -p codex-core
  just fix -p codex-app-server
  just fix -p codex-app-server-protocol
  just fmt
  just write-app-server-schema
  ```
  
  </details>
  
  <details>
  <summary>E2E DeviceCheck validation</summary>
  
  First validated the signed desktop app boundary directly: launched a
  packaged signed `Codex.app`, sent `attestation/generate`, decoded the
  returned `v1.` attestation header, and validated the extracted
  DeviceCheck token with `personal/jm/verify_devicecheck_token.py` using
  bundle ID `com.openai.codex`. Apple returned `status_code: 200` and
  `is_ok: true`.
  
  Then ran the fuller app + app-server flow. The packaged `Codex.app`
  launched a current-branch app-server via `CODEX_CLI_PATH`, and a local
  MITM proxy intercepted outbound `chatgpt.com` traffic. The app-server
  requested `attestation/generate` from the real Electron app process, and
  the intercepted `/backend-api/codex/responses` traffic included
  `x-oai-attestation` on both routes:
  
  ```text
  GET  /backend-api/codex/responses  Upgrade: websocket  x-oai-attestation: present
  POST /backend-api/codex/responses  Upgrade: none       x-oai-attestation: present
  ```
  
  The captured header decoded to a DeviceCheck token that also validated
  with Apple for `com.openai.codex` (`status_code: 200`, `is_ok: true`,
  team `2DC432GLL2`).
  
  </details>
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Jiaming Zhang · 2026-05-08 12:36:02 -07:00
  5f4d0ec343
• Revert "Move skills watcher to app-server" (#21460)

  Reverts openai/codex#21287

  pakrym-oai · 2026-05-07 02:24:20 +00:00
  103dc2b6ae
• Move skills watcher to app-server (#21287)

  ## Why
  
  Skills update notifications are app-server API behavior, but the watcher
  lived in `codex-core` and surfaced through
  `EventMsg::SkillsUpdateAvailable`. Moving the watcher out keeps core
  focused on thread execution and lets app-server own both cache
  invalidation and the `skills/changed` notification.
  
  ## What changed
  
  - Added an app-server-owned skills watcher that watches local skill
  roots, clears the shared skills cache, and emits `skills/changed`
  directly.
  - Registers skill watches from the common app-server thread listener
  attach path, including direct starts, resumes, and app-server-observed
  child or forked threads.
  - Stores the `WatchRegistration` on `ThreadState`, so listener
  replacement, thread teardown, idle unload, and app-server shutdown
  deregister by dropping the RAII guard.
  - Removed `EventMsg::SkillsUpdateAvailable`, the core watcher, and the
  old core live-reload test.
  - Extended the app-server skills change test to verify a cached skills
  list is refreshed after a filesystem change without forcing reload.
  
  ## Validation
  
  - `cargo check -p codex-core -p codex-app-server -p codex-mcp-server -p
  codex-rollout -p codex-rollout-trace`
  - `cargo test -p codex-app-server
  skills_changed_notification_is_emitted_after_skill_change`

  pakrym-oai · 2026-05-06 15:38:11 -07:00
  d5eea229cc
• Move plugin out of core. (#20348)
  xl-openai · 2026-04-30 14:26:14 -07:00
  7b3de63041
• Add persisted hook enablement state (#19840)

  ## Why
  
  After `hooks/list` exposes the hook inventory, clients need a way to
  persist user hook preferences, make those changes effective in
  already-open sessions, and distinguish user-controllable hooks from
  managed requirements without adding another bespoke app-server write
  API.
  
  ## What
  
  - Extends `hooks/list` entries with effective `enabled` state.
  - Persists user-level hook state under `hooks.state.<hook-id>` so the
  model can grow beyond a single boolean over time.
  - Uses the existing `config/batchWrite` path for hook state updates
  instead of introducing a dedicated hook write RPC.
  - Refreshes live session hook engines after config writes so
  already-open threads observe updated enablement without a restart.
  
  ## Stack
  
  1. openai/codex#19705
  2. openai/codex#19778
  3. This PR - openai/codex#19840
  4. openai/codex#19882
  
  ## Reviewer Notes
  
  The generated schema files account for much of the raw diff. The core
  behavior is in:
  
  - `hooks/src/config_rules.rs`, which resolves per-hook user state from
  the config layer stack.
  - `hooks/src/engine/discovery.rs`, which projects effective enablement
  into `hooks/list` from source-derived managedness.
  - `config/src/hook_config.rs`, which defines the new `hooks.state`
  representation.
  - `core/src/session/mod.rs`, which rebuilds live hook state after user
  config reloads.
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Abhinav · 2026-04-30 04:46:32 +00:00
  8f3c06cc97
• [codex] Add token usage to turn tracing spans (#19432)

  ## Why
  
  Slow Codex turns are easier to debug when token usage is visible in the
  trace itself, without joining against separate analytics. This adds
  token usage to existing turn-handling spans for regular user turns only.
  
  [Example
  turn](https://openai.datadoghq.com/apm/trace/9d353efa2cb5de1f4c5b93dc33c3df04?colorBy=service&graphType=flamegraph&shouldShowLegend=true&sort=time&spanID=3555541504891512675&spanViewType=metadata&traceQuery=)
  <img width="1447" height="967" alt="Screenshot 2026-04-24 at 3 03 07 PM"
  src="https://github.com/user-attachments/assets/ab7bb187-e7fc-41f0-a366-6c44610b2b2c"
  />
  
  ## What Changed
  
  Added response-level token fields on completed handle_responses spans:
  
  gen_ai.usage.input_tokens
  gen_ai.usage.cache_read.input_tokens
  gen_ai.usage.output_tokens
  codex.usage.reasoning_output_tokens
  codex.usage.total_tokens
  Added aggregate token fields on regular turn spans:
  
  codex.turn.token_usage.*
  Added an explicit regular-turn opt-in via
  SessionTask::records_turn_token_usage_on_span() so this is not coupled
  to span-name strings.
  
  ## Testing
  
  - `cargo test -p codex-otel`
  - `cargo test -p codex-core
  turn_and_completed_response_spans_record_token_usage`
  - `just fmt`
  - `just fix -p codex-core`
  - `just fix -p codex-otel`
  - Manual local Electron/app-server smoke test: regular user turn emits
  the new span fields
  
  Known status: `cargo test -p codex-core` was attempted and failed in
  unrelated existing areas: config approvals, request-permissions,
  git-info ordering, and subagent metadata persistence.

  charley-openai · 2026-04-28 11:41:32 -07:00
  de2ccf9473
• Add goal core runtime (4 / 5) (#18076)

  Adds the core runtime behavior for active goals on top of the model
  tools from PR 3.
  
  ## Why
  
  A long-running goal should be a core runtime concern, not something
  every client has to implement. Core owns the turn lifecycle, tool
  completion boundaries, interruptions, resume behavior, and token usage,
  so it is the right place to account progress, enforce budgets, and
  decide when to continue work.
  
  ## What changed
  
  - Centralized goal lifecycle side effects behind
  `Session::goal_runtime_apply(GoalRuntimeEvent::...)`.
  - Starts goal continuation turns only when the session is idle; pending
  user input and mailbox work take priority.
  - Accounts token and wall-clock usage at turn, tool, mutation,
  interrupt, and resume boundaries; `get_thread_goal` remains read-only.
  - Preserves sub-second wall-clock remainder across accounting boundaries
  so long-running goals do not drift downward over time.
  - Treats token budget exhaustion as a soft stop by marking the goal
  `budget_limited` and injecting wrap-up steering instead of aborting the
  active turn.
  - Suppresses budget steering when `update_goal` marks a goal complete.
  - Pauses active goals on interrupt and auto-reactivates paused goals
  when a thread resumes outside plan mode.
  - Suppresses repeated automatic continuation when a continuation turn
  makes no tool calls.
  - Added continuation and budget-limit prompt templates.
  
  ## Verification
  
  - Added focused core coverage for continuation scheduling, accounting
  boundaries, budget-limit steering, completion accounting, interrupt
  pause behavior, resume auto-activation, and wall-clock remainder
  accounting.

  Eric Traut · 2026-04-24 21:16:00 -07:00
  4167628622
• permissions: make profiles represent enforcement (#19231)

  ## Why
  
  `PermissionProfile` is becoming the canonical permissions abstraction,
  but the old shape only carried optional filesystem and network fields.
  It could describe allowed access, but not who is responsible for
  enforcing it. That made `DangerFullAccess` and `ExternalSandbox` lossy
  when profiles were exported, cached, or round-tripped through app-server
  APIs.
  
  The important model change is that active permissions are now a disjoint
  union over the enforcement mode. Conceptually:
  
  ```rust
  pub enum PermissionProfile {
      Managed {
          file_system: FileSystemSandboxPolicy,
          network: NetworkSandboxPolicy,
      },
      Disabled,
      External {
          network: NetworkSandboxPolicy,
      },
  }
  ```
  
  This distinction matters because `Disabled` means Codex should apply no
  outer sandbox at all, while `External` means filesystem isolation is
  owned by an outside caller. Those are not equivalent to a broad managed
  sandbox. For example, macOS cannot nest Seatbelt inside Seatbelt, so an
  inner sandbox may require the outer Codex layer to use no sandbox rather
  than a permissive one.
  
  ## How Existing Modeling Maps
  
  Legacy `SandboxPolicy` remains a boundary projection, but it now maps
  into the higher-fidelity profile model:
  
  - `ReadOnly` and `WorkspaceWrite` map to `PermissionProfile::Managed`
  with restricted filesystem entries plus the corresponding network
  policy.
  - `DangerFullAccess` maps to `PermissionProfile::Disabled`, preserving
  the “no outer sandbox” intent instead of treating it as a lax managed
  sandbox.
  - `ExternalSandbox { network_access }` maps to
  `PermissionProfile::External { network }`, preserving external
  filesystem enforcement while still carrying the active network policy.
  - Split runtime policies that legacy `SandboxPolicy` cannot faithfully
  express, such as managed unrestricted filesystem plus restricted
  network, stay `Managed` instead of being collapsed into
  `ExternalSandbox`.
  - Per-command/session/turn grants remain partial overlays via
  `AdditionalPermissionProfile`; full `PermissionProfile` is reserved for
  complete active runtime permissions.
  
  ## What Changed
  
  - Change active `PermissionProfile` into a tagged union: `managed`,
  `disabled`, and `external`.
  - Keep partial permission grants separate with
  `AdditionalPermissionProfile` for command/session/turn overlays.
  - Represent managed filesystem permissions as either `restricted`
  entries or `unrestricted`; `glob_scan_max_depth` is non-zero when
  present.
  - Preserve old rollout compatibility by accepting the pre-tagged `{
  network, file_system }` profile shape during deserialization.
  - Preserve fidelity for important edge cases: `DangerFullAccess`
  round-trips as `disabled`, `ExternalSandbox` round-trips as `external`,
  and managed unrestricted filesystem + restricted network stays managed
  instead of being mistaken for external enforcement.
  - Preserve configured deny-read entries and bounded glob scan depth when
  full profiles are projected back into runtime policies, including
  unrestricted replacements that now become `:root = write` plus deny
  entries.
  - Regenerate the experimental app-server v2 JSON/TypeScript schema and
  update the `command/exec` README example for the tagged
  `permissionProfile` shape.
  
  ## Compatibility
  
  Legacy `SandboxPolicy` remains available at config/API boundaries as the
  compatibility projection. Existing rollout lines with the old
  `PermissionProfile` shape continue to load. The app-server
  `permissionProfile` field is experimental, so its v2 wire shape is
  intentionally updated to match the higher-fidelity model.
  
  ## Verification
  
  - `just write-app-server-schema`
  - `cargo check --tests`
  - `cargo test -p codex-protocol permission_profile`
  - `cargo test -p codex-protocol
  preserving_deny_entries_keeps_unrestricted_policy_enforceable`
  - `cargo test -p codex-app-server-protocol
  permission_profile_file_system_permissions`
  - `cargo test -p codex-app-server-protocol serialize_client_response`
  - `cargo test -p codex-core
  session_configured_reports_permission_profile_for_external_sandbox`
  - `just fix`
  - `just fix -p codex-protocol`
  - `just fix -p codex-app-server-protocol`
  - `just fix -p codex-core`
  - `just fix -p codex-app-server`

  Michael Bolin · 2026-04-23 23:02:18 -07:00
  4816b89204
• feat: let model providers own model discovery (#18950)

  ## Why
  
  `codex-models-manager` had grown to own provider-specific concerns:
  constructing OpenAI-compatible `/models` requests, resolving provider
  auth, emitting request telemetry, and deciding how provider catalogs
  should be sourced. That made the manager harder to reuse for providers
  whose model catalog is not fetched from the OpenAI `/models` endpoint,
  such as Amazon Bedrock.
  
  This change moves provider-specific model discovery behind
  provider-owned implementations, so the models manager can focus on
  refresh policy, cache behavior, picker ordering, and model metadata
  merging.
  
  ## What Changed
  
  - Introduced a `ModelsManager` trait with separate `OpenAiModelsManager`
  and `StaticModelsManager` implementations.
  - Added `ModelsEndpointClient` so OpenAI-compatible HTTP fetching lives
  outside `codex-models-manager`.
  - Moved `/models` request construction, provider auth resolution,
  timeout handling, and request telemetry into `codex-model-provider` via
  `OpenAiModelsEndpoint`.
  - Added provider-owned `models_manager(...)` construction so configured
  OpenAI-compatible providers use `OpenAiModelsManager`, while
  static/catalog-backed providers can return `StaticModelsManager`.
  - Added an Amazon Bedrock static model catalog for the GPT OSS Bedrock
  model IDs.
  - Updated core/session/thread manager code and tests to depend on
  `Arc<dyn ModelsManager>`.
  - Moved offline model test helpers into
  `codex_models_manager::test_support`.
  ## Metadata References
  
  The Bedrock catalog metadata is based on the official Amazon Bedrock
  OpenAI model documentation:
  
  - [Amazon Bedrock OpenAI
  models](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-openai.html)
  lists the Bedrock model IDs, text input/output modalities, and `128,000`
  token context window for `gpt-oss-20b` and `gpt-oss-120b`.
  - [Amazon Bedrock `gpt-oss-120b` model
  card](https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-openai-gpt-oss-120b.html)
  lists the `bedrock-runtime` model ID `openai.gpt-oss-120b-1:0`, the
  `bedrock-mantle` model ID `openai.gpt-oss-120b`, text-only modalities,
  and `128K` context window.
  - [OpenAI `gpt-oss-120b` model
  docs](https://developers.openai.com/api/docs/models/gpt-oss-120b)
  document configurable reasoning effort with `low`, `medium`, and `high`,
  plus text input/output modality.
  
  The display names, default reasoning effort, and priority ordering are
  Codex-local catalog choices.
  
  ## Test Plan
  - Manually verified app-server model listing with an AWS profile:
  
  ```shell
  CODEX_HOME="$(mktemp -d)" cargo run -p codex-app-server-test-client -- \
    --codex-bin ./target/debug/codex \
    -c 'model_provider="amazon-bedrock"' \
    -c 'model_providers.amazon-bedrock.aws.profile="codex-bedrock"' \
    -c 'model_providers.amazon-bedrock.aws.region="us-west-2"' \
    model-list
  ```
  
  The response returned the Bedrock catalog with `openai.gpt-oss-120b-1:0`
  as the default model and `openai.gpt-oss-20b-1:0` as the second listed
  model, both text-only and supporting low/medium/high reasoning effort.

  Celia Chen · 2026-04-24 04:28:25 +00:00
  e8d8080818
• [rollout_trace] Add debug trace reduction command (#18880)

  ## Summary
  
  Adds the debug CLI entry point for reducing recorded rollout traces.
  This gives developers a direct way to inspect whether the emitted trace
  stream reduces into the expected conversation/runtime model.
  
  ## Stack
  
  This is PR 5/5 in the rollout trace stack.
  
  - [#18876](https://github.com/openai/codex/pull/18876): Add rollout
  trace crate
  - [#18877](https://github.com/openai/codex/pull/18877): Record core
  session rollout traces
  - [#18878](https://github.com/openai/codex/pull/18878): Trace tool and
  code-mode boundaries
  - [#18879](https://github.com/openai/codex/pull/18879): Trace sessions
  and multi-agent edges
  - [#18880](https://github.com/openai/codex/pull/18880): Add debug trace
  reduction command
  
  ## Review Notes
  
  This PR is intentionally last: it depends on the trace crate, core
  recorder, runtime/tool events, and session/agent edge data all existing.
  The command should remain a debug/developer tool and avoid adding new
  runtime behavior.
  
  The useful review question is whether the CLI exposes the reducer in the
  smallest practical way for local inspection without turning the debug
  command into a supported user-facing workflow.

  cassirer-openai · 2026-04-24 01:56:48 +00:00
  e3c8720a99
• [codex] Route live thread writes through ThreadStore (#18882)

  Begin migrating the thread write codepaths to ThreadStore.
  
  This starts using ThreadStore inside of core session code, not only in
  the app server code.
  
  Rework the interfaces around thread recording/persistence. We're left
  with the following:
  
  * `ThreadManager`: owns the process-level registry of loaded threads and
  handles cross-thread orchestration: start, resume, fork, lookup, remove,
  and route ops to running CodexThreads.
  * `CodexThread`: represents one loaded/running thread from the outside.
  It is the handle app-server and callers use to submit ops, inspect
  session metadata, and shut the thread down.
  * `LiveThread`: session-owned persistence lifecycle handle for one
  active thread. Core session code uses it to append rollout items,
  materialize lazy persistence, flush, shutdown, discard init-failed
  writers, and load that thread’s persisted history.
  * `ThreadStore`: storage backend abstraction. It answers “how are
  threads persisted, read, listed, updated, archived?” Local and remote
  implementations live behind this trait.
  * `LocalThreadStore`: local ThreadStore implementation. It owns the
  file/sqlite-specific details and keeps RolloutRecorder as a local
  implementation detail.
  
  This is a few too many Thread abstractions for my liking, but they do
  all represent different concepts / needs / layers.
  
  Migration note: in places where the core code explicitly requires a
  path, rather than a thread ID, throw an error if we're running with a
  remote store.
  
  Cover the new local live-writer lifecycle with focused tests and
  preserve app-server thread-start behavior, including ephemeral pathless
  sessions.

  Tom · 2026-04-23 10:17:09 -07:00
  f1923a38b1
• feat(request-permissions) approve with strict review (#19050)

  ## Summary
  Allow the user to approve a request_permissions_tool request with the
  condition that all commands in the rest of the turn are reviewed by
  guardian, regardless of sandbox status.
  
  ## Testing
  - [x] Added unit tests
  - [x] Ran locally

  Dylan Hurd · 2026-04-23 01:56:32 +00:00
  5e71da1424
• feat(auto-review) short-circuit (#18890)

  ## Summary
  Short circuit the convo if auto-review hits too many denials
  
  ## Testing
  - [x] Added unit tests
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Dylan Hurd · 2026-04-22 20:34:15 +00:00
  ed4def8286
• [rollout_trace] Record core session rollout traces (#18877)

  ## Summary
  
  Wires rollout trace recording into `codex-core` session and turn
  execution. This records the core model request/response, compaction, and
  session lifecycle boundaries needed for replay without yet tracing every
  nested runtime/tool boundary.
  
  ## Stack
  
  This is PR 2/5 in the rollout trace stack.
  
  - [#18876](https://github.com/openai/codex/pull/18876): Add rollout
  trace crate
  - [#18877](https://github.com/openai/codex/pull/18877): Record core
  session rollout traces
  - [#18878](https://github.com/openai/codex/pull/18878): Trace tool and
  code-mode boundaries
  - [#18879](https://github.com/openai/codex/pull/18879): Trace sessions
  and multi-agent edges
  - [#18880](https://github.com/openai/codex/pull/18880): Add debug trace
  reduction command
  
  ## Review Notes
  
  This layer is the first live integration point. The important review
  question is whether trace recording is isolated from normal session
  behavior: trace failures should not become user-visible execution
  failures, and recording should preserve the existing turn/session
  lifecycle semantics.
  
  The PR depends on the reducer/data model from the first stack entry and
  only introduces the core recorder surface that later PRs use for richer
  runtime and relationship events.

  cassirer-openai · 2026-04-22 17:00:48 +00:00
  f67383bcba
• Support multiple managed environments (#18401)

  ## Summary
  - refactor EnvironmentManager to own keyed environments with
  default/local lookup helpers
  - keep remote exec-server client creation lazy until exec/fs use
  - preserve disabled agent environment access separately from internal
  local environment access
  
  ## Validation
  - not run (per Codex worktree instruction to avoid tests/builds unless
  requested)
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  starr-openai · 2026-04-21 15:29:35 -07:00
  ddbe2536be
• fix: fully revert agent identity runtime wiring (#18757)

  ## Summary
  
  This PR fully reverts the previously merged Agent Identity runtime
  integration from the old stack:
  https://github.com/openai/codex/pull/17387/changes
  
  It removes the Codex-side task lifecycle wiring, rollout/session
  persistence, feature flag plumbing, lazy `auth.json` mutation,
  background task auth paths, and request callsite changes introduced by
  that stack.
  
  This leaves the repo in a clean pre-AgentIdentity integration state so
  the follow-up PRs can reintroduce the pieces in smaller reviewable
  layers.
  
  ## Stack
  
  1. This PR: full revert
  2. https://github.com/openai/codex/pull/18871: move Agent Identity
  business logic into a crate
  3. https://github.com/openai/codex/pull/18785: add explicit
  AgentIdentity auth mode and startup task allocation
  4. https://github.com/openai/codex/pull/18811: migrate auth callsites
  through AuthProvider
  
  ## Testing
  
  Tests: targeted Rust checks, cargo-shear, Bazel lock check, and CI.

  efrazer-oai · 2026-04-21 14:30:55 -07:00
  be75785504
• sandboxing: intersect permission profiles semantically (#18275)

  ## Why
  
  Permission approval responses must not be able to grant more access than
  the tool requested. Moving this flow to `PermissionProfile` means the
  comparison must be profile-shaped instead of `SandboxPolicy`-shaped, and
  cwd-relative special paths such as `:cwd` and `:project_roots` must stay
  anchored to the turn that produced the request.
  
  ## What changed
  
  This implements semantic `PermissionProfile` intersection in
  `codex-sandboxing` for file-system and network permissions. The
  intersection accepts narrower path grants, rejects broader grants,
  preserves deny-read carve-outs and glob scan depth, and materializes
  cwd-dependent special-path grants to absolute paths before they can be
  recorded for reuse.
  
  The request-permissions response paths now use that intersection
  consistently. App-server captures the request turn cwd before waiting
  for the client response, includes that cwd in the v2 approval params,
  and core stores the requested profile plus cwd for direct TUI/client
  responses and Guardian decisions before recording turn- or
  session-scoped grants. The TUI app-server bridge now preserves the
  app-server request cwd when converting permission approval params into
  core events.
  
  ## Verification
  
  - `cargo test -p codex-sandboxing intersect_permission_profiles --
  --nocapture`
  - `cargo test -p codex-app-server request_permissions_response --
  --nocapture`
  - `cargo test -p codex-core
  request_permissions_response_materializes_session_cwd_grants_before_recording
  -- --nocapture`
  - `cargo check -p codex-tui --tests`
  - `cargo check --tests`
  - `cargo test -p codex-tui
  app_server_request_permissions_preserves_file_system_permissions`

  Michael Bolin · 2026-04-21 10:23:01 -07:00
  f8562bd47b
• feat: add metric to track the number of turns with memory usage (#18662)

  Add a metric `codex.turn.memory` to know if a turn used memories or not.
  This is not part of the other turn metrics as a label to limit
  cardinality

  jif-oai · 2026-04-20 14:31:22 +01:00
  2c59806fe0
• Persist and prewarm agent tasks per thread (#17978)

  ## Summary
  - persist registered agent tasks in the session state update stream so
  the thread can reuse them
  - prewarm task registration once identity registration succeeds, while
  keeping startup failures best-effort
  - isolate the session-side task lifecycle into a dedicated module so
  AgentIdentityManager and RegisteredAgentTask do not leak across as many
  core layers
  
  ## Testing
  - cargo test -p codex-core startup_agent_task_prewarm
  - cargo test -p codex-core
  cached_agent_task_for_current_identity_clears_stale_task
  - cargo test -p codex-core record_initial_history_

  Adrian · 2026-04-19 15:45:28 -07:00
  e5b52a3caa
• [codex] Propagate rate limit reached type (#18227)

  ## Summary
  
  First PR in the split from #17956.
  
  - adds the core/app-server `RateLimitReachedType` shape
  - maps backend `rate_limit_reached_type` into Codex rate-limit snapshots
  - carries the field through app-server notifications/responses and
  generated schemas
  - updates existing constructors/tests for the new optional field
  
  ## Validation
  
  - `cargo test -p codex-backend-client`
  - `cargo test -p codex-app-server-protocol`
  - `cargo test -p codex-app-server rate_limits`
  - `cargo test -p codex-tui workspace_`
  - `cargo test -p codex-tui status_`
  - `just fmt`
  - `just fix -p codex-backend-client`
  - `just fix -p codex-app-server-protocol`
  - `just fix -p codex-app-server`
  - `just fix -p codex-tui`

  richardopenai · 2026-04-17 13:37:25 -07:00
  139fa8b8f2
• Move codex module under session (#18249)

  ## Summary
  - rename the core codex module root to session/mod.rs without using
  #[path]
  - move the codex module directory and tests under core/src/session
  - remove session/mod.rs reexports so call sites use explicit child
  module paths
  
  ## Testing
  - cargo test -p codex-core --lib
  - cargo check -p codex-core --tests
  - just fmt
  - just fix -p codex-core
  - git diff --check

  pakrym-oai · 2026-04-17 16:18:53 +00:00
  71e4c6fa17
• Register agent tasks behind use_agent_identity (#17387)

  ## Summary
  
  Stack PR3 for feature-gated agent identity support.
  
  This PR adds per-thread agent task registration behind
  `features.use_agent_identity`. Tasks are minted on the first real user
  turn and cached in thread runtime state for later turns.
  
  ## Stack
  
  - PR1: https://github.com/openai/codex/pull/17385 - add
  `features.use_agent_identity`
  - PR2: https://github.com/openai/codex/pull/17386 - register agent
  identities when enabled
  - PR3: https://github.com/openai/codex/pull/17387 - this PR, original
  task registration slice
  - PR3.1: https://github.com/openai/codex/pull/17978 - persist and
  prewarm registered tasks per thread
  - PR4: https://github.com/openai/codex/pull/17980 - use `AgentAssertion`
  downstream when enabled
  
  ## Validation
  
  Covered as part of the local stack validation pass:
  
  - `just fmt`
  - `cargo test -p codex-core --lib agent_identity`
  - `cargo test -p codex-core --lib agent_assertion`
  - `cargo test -p codex-core --lib websocket_agent_task`
  - `cargo test -p codex-api api_bridge`
  - `cargo build -p codex-cli --bin codex`
  
  ## Notes
  
  The full local app-server E2E path is still being debugged after PR
  creation. The current branch stack is directionally ready for review
  while that follow-up continues.

  Adrian · 2026-04-16 14:30:02 -07:00
  55c3de75cb
• [codex] Add local thread store listing (#17824)

  Builds on top of #17659 
  
  Move the filesystem + sqlite thread listing-related operations inside of
  a local ThreadStore implementation and call ThreadStore from the places
  that used to perform these filesystem/sqlite operations.
  
  This is the first of a series of PRs that will implement the rest of the
  local ThreadStore.
  
  Testing:
  - added unit tests for the thread store implementation
  - adjusted some unit tests in the realtime + personality packages whose
  callsites changed. Specifically I'm trying to hide ThreadMetadata inside
  of the local implementation and make ThreadMetadata a sqlite
  implementation detail concern rather than a public interface, preferring
  the more generate StoredThread interface instead
  - added a corner case test for the personality migration package that
  wasn't covered by the existing test suite
  - adjust the behavior of searched thread listing to run the existing
  local rollout repair/backfill pass _before_ querying SQLite results, so
  callers using ThreadStore::list_threads do not miss matches after a
  partial metadata warm-up

  Tom · 2026-04-15 11:34:27 -07:00
  cdfcd2ca92
• Register agent identities behind use_agent_identity (#17386)

  ## Summary
  
  Stack PR 2 of 4 for feature-gated agent identity support.
  
  This PR adds agent identity registration behind
  `features.use_agent_identity`. It keeps the app-server protocol
  unchanged and starts registration after ChatGPT auth exists rather than
  requiring a client restart.
  
  ## Stack
  
  - PR1: https://github.com/openai/codex/pull/17385 - add
  `features.use_agent_identity`
  - PR2: https://github.com/openai/codex/pull/17386 - this PR
  - PR3: https://github.com/openai/codex/pull/17387 - register agent tasks
  when enabled
  - PR4: https://github.com/openai/codex/pull/17388 - use `AgentAssertion`
  downstream when enabled
  
  ## Validation
  
  Covered as part of the local stack validation pass:
  
  - `just fmt`
  - `cargo test -p codex-core --lib agent_identity`
  - `cargo test -p codex-core --lib agent_assertion`
  - `cargo test -p codex-core --lib websocket_agent_task`
  - `cargo test -p codex-api api_bridge`
  - `cargo build -p codex-cli --bin codex`
  
  ## Notes
  
  The full local app-server E2E path is still being debugged after PR
  creation. The current branch stack is directionally ready for review
  while that follow-up continues.

  Adrian · 2026-04-15 10:08:27 -07:00
  8e784bba2f
• [codex-analytics] feature plumbing and emittance (#16640)

  ---
  [//]: # (BEGIN SAPLING FOOTER)
  Stack created with [Sapling](https://sapling-scm.com). Best reviewed
  with [ReviewStack](https://reviewstack.dev/openai/codex/pull/16640).
  * #16870
  * #16706
  * #16641
  * __->__ #16640

  rhan-oai · 2026-04-13 23:11:49 -07:00
  b704df85b8
• Revert "Option to Notify Workspace Owner When Usage Limit is Reached" (#17391)

  Reverts openai/codex#16969
  
  #sev3-2026-04-10-accountscheckversion-500s-for-openai-workspace-7300

  Shijie Rao · 2026-04-10 23:33:13 +00:00
  930e5adb7e
• fix(guardian, app-server): introduce guardian review ids (#17298)

  ## Description
  
  This PR introduces `review_id` as the stable identifier for guardian
  reviews and exposes it in app-server `item/autoApprovalReview/started`
  and `item/autoApprovalReview/completed` events.
  
  Internally, guardian rejection state is now keyed by `review_id` instead
  of the reviewed tool item ID. `target_item_id` is still included when a
  review maps to a concrete thread item, but it is no longer overloaded as
  the review lifecycle identifier.
  
  ## Motivation
  
  We'd like to give users the ability to preempt a guardian review while
  it's running (approve or decline).
  
  However, we can't implement the API that allows the user to override a
  running guardian review because we didn't have a unique `review_id` per
  guardian review. Using `target_item_id` is not correct since:
  - with execve reviews, there can be multiple execve calls (and therefore
  guardian reviews) per shell command
  - with network policy reviews, there is no target item ID
  
  The PR that actually implements user overrides will use `review_id` as
  the stable identifier.

  Owen Lin · 2026-04-10 16:21:02 -07:00
  a3be74143a
• Option to Notify Workspace Owner When Usage Limit is Reached (#16969)

  ## Summary
  - Replace the manual `/notify-owner` flow with an inline confirmation
  prompt when a usage-based workspace member hits a credits-depleted
  limit.
  - Fetch the current workspace role from the live ChatGPT
  `accounts/check/v4-2023-04-27` endpoint so owner/member behavior matches
  the desktop and web clients.
  - Keep owner, member, and spend-cap messaging distinct so we only offer
  the owner nudge when the workspace is actually out of credits.
  
  ## What Changed
  - `backend-client`
  - Added a typed fetch for the current account role from
  `accounts/check`.
    - Mapped backend role values into a Rust workspace-role enum.
  - `app-server` and protocol
    - Added `workspaceRole` to `account/read` and `account/updated`.
  - Derived `isWorkspaceOwner` from the live role, with a fallback to the
  cached token claim when the role fetch is unavailable.
  - `tui`
    - Removed the explicit `/notify-owner` slash command.
  - When a member is blocked because the workspace is out of credits, the
  error now prompts:
  - `Your workspace is out of credits. Request more from your workspace
  owner? [y/N]`
    - Choosing `y` sends the existing owner-notification request.
  - Choosing `n`, pressing `Esc`, or accepting the default selection
  dismisses the prompt without sending anything.
  - Selection popups now honor explicit item shortcuts, which is how the
  `y` / `n` interaction is wired.
  
  ## Reviewer Notes
  - The main behavior change is scoped to usage-based workspace members
  whose workspace credits are depleted.
  - Spend-cap reached should not show the owner-notification prompt.
  - Owners and admins should continue to see `/usage` guidance instead of
  the member prompt.
  - The live role fetch is best-effort; if it fails, we fall back to the
  existing token-derived ownership signal.
  
  ## Testing
  - Manual verification
    - Workspace owner does not see the member prompt.
  - Workspace member with depleted credits sees the confirmation prompt
  and can send the nudge with `y`.
  - Workspace member with spend cap reached does not see the
  owner-notification prompt.
  
  ### Workspace member out of usage
  
  https://github.com/user-attachments/assets/341ac396-eff4-4a7f-bf0c-60660becbea1
  
  ### Workspace owner
  <img width="1728" height="1086" alt="Screenshot 2026-04-09 at 11 48
  22 AM"
  src="https://github.com/user-attachments/assets/06262a45-e3fc-4cc4-8326-1cbedad46ed6"
  />

  richardopenai · 2026-04-09 21:15:17 -07:00
  9f2a585153
• Update guardian output schema (#17061)

  ## Summary
  - Update guardian output schema to separate risk, authorization,
  outcome, and rationale.
  - Feed guardian rationale into rejection messages.
  - Split the guardian policy into template and tenant-config sections.
  
  ## Validation
  - `cargo test -p codex-core mcp_tool_call`
  - `env -u CODEX_SANDBOX_NETWORK_DISABLED INSTA_UPDATE=always cargo test
  -p codex-core guardian::`
  
  ---------
  
  Co-authored-by: Owen Lin <owen@openai.com>

  maja-openai · 2026-04-08 15:47:29 -07:00
  dcbc91fd39
• [codex] reduce module visibility (#16978)

  ## Summary
  - reduce public module visibility across Rust crates, preferring private
  or crate-private modules with explicit crate-root public exports
  - update external call sites and tests to use the intended public crate
  APIs instead of reaching through module trees
  - add the module visibility guideline to AGENTS.md
  
  ## Validation
  - `cargo check --workspace --all-targets --message-format=short` passed
  before the final fix/format pass
  - `just fix` completed successfully
  - `just fmt` completed successfully
  - `git diff --check` passed

  pakrym-oai · 2026-04-07 08:03:35 -07:00
  413c1e1fdf
• Disable env-bound tools when exec server is none (#16349)

  ## Summary
  - make `CODEX_EXEC_SERVER_URL=none` map to an explicit disabled
  environment mode instead of inferring from a missing URL
  - expose environment capabilities (`exec_enabled`, `filesystem_enabled`)
  so tool building can gate behavior explicitly and future
  multi-environment work has a clearer seam
  - suppress env-backed tools when the relevant capability is unavailable,
  including exec tools, `js_repl`, `apply_patch`, `list_dir`, and
  `view_image`
  - keep handler/runtime backstops so disabled environments still reject
  execution if a tool path somehow bypasses registration
  
  ## Testing
  - `just fmt`
  - `cargo test -p codex-exec-server`
  - `cargo test -p codex-tools
  disabled_environment_omits_environment_backed_tools`
  - `cargo test -p codex-tools
  environment_capabilities_gate_exec_and_filesystem_tools_independently`
  - remote devbox Bazel build via `codex-applied-devbox`:
  `//codex-rs/cli:cli`

  starr-openai · 2026-04-06 17:22:06 -07:00
  a504d8f0fa
• remove temporary ownership re-exports (#16626)

  Stacked on #16508.
  
  This removes the temporary `codex-core` / `codex-login` re-export shims
  from the ownership split and rewrites callsites to import directly from
  `codex-model-provider-info`, `codex-models-manager`, `codex-api`,
  `codex-protocol`, `codex-feedback`, and `codex-response-debug-context`.
  
  No behavior change intended; this is the mechanical import cleanup layer
  split out from the ownership move.
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Ahmed Ibrahim · 2026-04-03 00:33:34 -07:00
  af8a9d2d2b
• core: cut codex-core compile time 48% with native async SessionTask (#16631)

  ## Why
  
  This continues the compile-time cleanup from #16630. `SessionTask`
  implementations are monomorphized, but `Session` stores the task behind
  a `dyn` boundary so it can drive and abort heterogenous turn tasks
  uniformly. That means we can move the `#[async_trait]` expansion off the
  implementation trait, keep a small boxed adapter only at the storage
  boundary, and preserve the existing task lifecycle semantics while
  reducing the amount of generated async-trait glue in `codex-core`.
  
  One measurement caveat showed up while exploring this: a warm
  incremental benchmark based on `touch core/src/tasks/mod.rs && cargo
  check -p codex-core --lib` was basically flat, but that was the wrong
  benchmark for this change. Using package-clean `codex-core` rebuilds,
  like #16630, shows the real win.
  
  Relevant pre-change code:
  
  - [`SessionTask` with
  `#[async_trait]`](https://github.com/openai/codex/blob/3c7f013f9735e67796c70d95f75f436b7f97e3ec/codex-rs/core/src/tasks/mod.rs#L129-L182)
  - [`RunningTask` storing `Arc<dyn
  SessionTask>`](https://github.com/openai/codex/blob/3c7f013f9735e67796c70d95f75f436b7f97e3ec/codex-rs/core/src/state/turn.rs#L69-L77)
  
  ## What changed
  
  - Switched `SessionTask::{run, abort}` to native RPITIT futures with
  explicit `Send` bounds.
  - Added a private `AnySessionTask` adapter that boxes those futures only
  at the `Arc<dyn ...>` storage boundary.
  - Updated `RunningTask` to store `Arc<dyn AnySessionTask>` and removed
  `#[async_trait]` from the concrete task impls plus test-only
  `SessionTask` impls.
  
  ## Timing
  
  Benchmarked package-clean `codex-core` rebuilds with dependencies left
  warm:
  
  ```shell
  cargo check -p codex-core --lib >/dev/null
  cargo clean -p codex-core >/dev/null
  /usr/bin/time -p cargo +nightly rustc -p codex-core --lib -- \
    -Z time-passes \
    -Z time-passes-format=json >/dev/null
  ```
  
  | revision | rustc `total` | process `real` | `generate_crate_metadata`
  | `MIR_borrow_checking` | `monomorphization_collector_graph_walk` |
  | --- | ---: | ---: | ---: | ---: | ---: |
  | parent `3c7f013f9735` | 67.21s | 67.71s | 24.61s | 23.43s | 22.43s |
  | this PR `2cafd783ac22` | 35.08s | 35.60s | 8.01s | 7.25s | 7.15s |
  | delta | -47.8% | -47.4% | -67.5% | -69.1% | -68.1% |
  
  For completeness, the warm touched-file benchmark stayed flat (`1.96s`
  parent vs `1.97s` this PR), which is why that benchmark should not be
  used to evaluate this refactor.
  
  ## Verification
  
  - Ran `cargo test -p codex-core`; this change compiled and task-related
  tests passed before hitting the same unrelated 5
  `config::tests::*guardian*` failures already present on the parent
  stack.

  Michael Bolin · 2026-04-02 23:39:56 +00:00
  7a3eec6fdb
• nit: state machine desc (#16569)
  jif-oai · 2026-04-02 16:18:53 +02:00
  ea27d861b2
• chore: rework state machine further (#16567)
  jif-oai · 2026-04-02 16:15:28 +02:00
  ab6cce62b8
• fix: races in end of turn (#16566)
  jif-oai · 2026-04-02 15:55:55 +02:00
  e47ed5e57f
• fix: race pending (#16561)
  jif-oai · 2026-04-02 15:31:30 +02:00
  627299c551
• core: remove cross-crate re-exports from lib.rs (#16512)

  ## Why
  
  `codex-core` was re-exporting APIs owned by sibling `codex-*` crates,
  which made downstream crates depend on `codex-core` as a proxy module
  instead of the actual owner crate.
  
  Removing those forwards makes crate boundaries explicit and lets leaf
  crates drop unnecessary `codex-core` dependencies. In this PR, this
  reduces the dependency on `codex-core` to `codex-login` in the following
  files:
  
  ```
  codex-rs/backend-client/Cargo.toml
  codex-rs/mcp-server/tests/common/Cargo.toml
  ```
  
  ## What
  
  - Remove `codex-rs/core/src/lib.rs` re-exports for symbols owned by
  `codex-login`, `codex-mcp`, `codex-rollout`, `codex-analytics`,
  `codex-protocol`, `codex-shell-command`, `codex-sandboxing`,
  `codex-tools`, and `codex-utils-path`.
  - Delete the `default_client` forwarding shim in `codex-rs/core`.
  - Update in-crate and downstream callsites to import directly from the
  owning `codex-*` crate.
  - Add direct Cargo dependencies where callsites now target the owner
  crate, and remove `codex-core` from `codex-rs/backend-client`.

  Michael Bolin · 2026-04-01 23:06:24 -07:00
  aa2403e2eb
• feat: spawn v2 as inter agent communication (#15985)

  Co-authored-by: Codex <noreply@openai.com>

  jif-oai · 2026-03-27 15:45:19 +01:00
  426f28ca99
• core: remove special execve handling for skill scripts (#15812)
  Michael Bolin · 2026-03-26 07:46:04 -07:00
  01fa4f0212
• Extract codex-core-skills crate (#15749)

  ## Summary
  - move skill loading and management into codex-core-skills
  - leave codex-core with the thin integration layer and shared wiring
  
  ## Testing
  - CI
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Ahmed Ibrahim · 2026-03-25 12:57:42 -07:00
  9dbe098349
• Extract codex-analytics crate (#15748)

  ## Summary
  - move the analytics events client into codex-analytics
  - update codex-core and app-server callsites to use the new crate
  
  ## Testing
  - CI
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Ahmed Ibrahim · 2026-03-25 11:08:05 -07:00
  d273efc0f3