78 Commits

• current time reminders impl for system clock (varlatency 2/n) (#28824)

  Stacked on #28822.
  
  ## Summary
  
  - add a host-injectable current-time provider with a built-in system
  implementation
  - record UTC developer reminders in history immediately before due model
  requests
  - keep cadence state per session and force a refresh after compaction
  
  This does NOT include the app server client <-> server clock logic. This
  PR is only for the reminder message & system clock that will be used in
  prod.
  
  ## Testing
  
  - `just test -p codex-core varlatency_`
  - `just clippy -p codex-core -p codex-app-server -p codex-mcp-server -p
  codex-thread-manager-sample`
  - `just fmt`

  rka-oai · 2026-06-18 19:18:42 +00:00
  752ed90d78
• Support openai/form extended form elicitations (#27500)

  # Summary
  Allow App Server clients to opt into `openai/form` MCP elicitations.

  Gabriel Peal · 2026-06-18 11:54:49 -07:00
  21a599fa56
• Replace SkillsManager with SkillsService (#28705)

  ## Why
  
  Host skill discovery was still exposed as a manager even though it is a
  process-owned service shared by sessions, the app-server catalog, and
  file-watcher invalidation. The skills extension also consumed an ad hoc
  loaded-skills wrapper instead of a named immutable snapshot.
  
  ## What changed
  
  - replace `SkillsManager` with concrete `SkillsService`
  - make the service cache and return immutable `HostSkillsSnapshot`
  values
  - migrate the skills extension host provider to the snapshot boundary
  - migrate app-server catalog, watcher, and invalidation paths to the
  service
  
  This keeps the service limited to host discovery, caching, roots, and
  invalidation. Catalog rendering and invocation remain extension
  responsibilities for the next stacked change.

  jif · 2026-06-17 17:01:06 +02:00
  0318381762
• [codex] Bind shell snapshots to retained thread environments (#28421)

  ## Why
  
  Shell snapshots are currently session-scoped even though shell and cwd
  are properties of a selected turn environment. That makes snapshot
  refresh depend on separate session-cwd plumbing, prevents retained
  environments from retaining their snapshot work, and can make snapshot
  construction use a different shell than command execution.
  
  This follows #27955 by making the retained thread-environment service
  own environment snapshot lifecycles. Session configuration remains the
  requested selection state, while `ThreadEnvironments` remains the source
  of successfully resolved environments.
  
  ## What changed
  
  - Configure the shell-snapshot builder before initial environment
  resolution.
  - Start each local environment snapshot task when its `TurnEnvironment`
  is built and retain that shared task while environment ID and cwd still
  match.
  - Inherit retained environment snapshots into spawned child threads.
  - Carry the selected `TurnEnvironment` through shell runtimes so
  snapshot construction and command execution use the same
  environment-specific shell and cwd.
  - Load project instructions and warm plugins/skills after initial
  environment resolution.
  - Continue decoding invalid UTF-8 instruction files lossily without
  emitting a startup warning.
  - Keep requested selections in `SessionConfiguration`; failed or
  duplicate resolutions only affect the resolved environment snapshot.
  
  ## Validation
  
  - `cargo check -p codex-core --tests`
  - `just test -p codex-home instructions` (6 passed)
  - Focused environment, instruction, shell-snapshot, and user-shell tests
  (84 passed)
  - Focused shell-snapshot, user-shell, and unified-exec tests (126
  passed; two event-timing tests passed on retry)

  pakrym-oai · 2026-06-15 20:10:53 -07:00
  022f1221e8
• [codex] retain resolved environments across turns (#27955)

  ## Why
  
  Selected execution environments are thread-scoped resources, but startup
  and turn construction repeatedly resolved their IDs and working
  directories. That discarded existing environment handles and shell
  metadata even when a selection had not changed.
  
  Session configuration updates also need to affect future turns without
  changing the resolved environment set already captured by a running
  turn.
  
  ## What changed
  
  - Create a `ThreadEnvironments` service inside `Codex` from the spawned
  `EnvironmentManager` and raw environment selections, then store it on
  `SessionServices`.
  - Split service construction from `update_selections`, allowing session
  configuration updates to mutate the resolved set in place.
  - Retain an existing `TurnEnvironment` when its environment ID and
  working directory match; resolve only added or changed selections and
  remove selections that are no longer present.
  - Normalize duplicate IDs by keeping the first selection and skip
  individual selections that fail to resolve instead of rejecting the
  entire update.
  - Give each `TurnContext` a cloned `TurnEnvironmentSnapshot`, so later
  session configuration updates affect future turns without rewriting an
  active turn.
  - Reuse the service-owned environment manager and resolved snapshot for
  startup work, MCP initialization, and child-thread spawning instead of
  flowing resolved environments through spawn arguments.
  
  ## Test plan
  
  - `cargo check -p codex-core --tests`
  - `just test -p codex-core environment_selection`
  - `just test -p codex-core turn_environments`
  - `just test -p codex-core
  session_update_settings_does_not_rewrite_sticky_environment_cwds`
  - `just test -p codex-core
  default_turn_does_not_overlay_legacy_fallback_cwd_onto_stored_thread_environments`

  pakrym-oai · 2026-06-15 16:15:07 -07:00
  9728992fab
• core: cache the tool search handler per session (#27258)

  ## Why
  
  Tool router construction rebuilds the deferred-tool BM25 index during
  session initialization and before each sampling continuation, even when
  the searchable tool metadata is unchanged. Local profiling measured
  `append_tool_search_executor` at roughly 113 ms per continuation, making
  repeated index construction the largest measured router-building cost.
  
  ## What changed
  
  - Add a session-scoped `ToolSearchHandlerCache` so continuations and
  user turns can reuse the existing handler.
  - Key reuse on the complete ordered `Vec<ToolSearchInfo>`, rebuilding
  when searchable text, loadable tool specs, source metadata, or ordering
  changes.
  - Build handlers outside the cache lock and recheck before publishing
  them, avoiding holding the mutex during index construction.
  
  ## Verification
  
  - `cache_reuses_identical_search_infos_and_rebuilds_changed_inputs`
  covers exact cache reuse and invalidation when the ordered search
  metadata changes.
  - Local rollout profiling showed the initial router build populating the
  cache and unchanged later continuations reusing it:
    - uncached: 118 ms median across 14 spans from 3 rollouts
    - cached: 4 ms median across 12 spans from 3 rollouts

  mchen-oai · 2026-06-15 14:48:30 -07:00
  af99f6a72f
• [codex] simplify shell snapshot ownership (#27756)

  ## Why
  
  Shell snapshot lifecycle state was split between `Shell` and
  `SessionServices`: `Shell` carried the receiver while session code
  exposed and forwarded the raw sender. That coupled shell identity to
  mutable snapshot state and made refresh, inheritance, and file lifetime
  harder to reason about.
  
  ## What changed
  
  - make each `Arc<ShellSnapshot>` represent one cwd-specific snapshot
  generation
  - store the active generation in `SessionServices` with `ArcSwapOption`
  - have construction start the background build and expose only a
  cwd-validated snapshot path
  - use `ShellSnapshotFile` ownership to delete snapshot files
  automatically
  - pass snapshot paths explicitly to shell runtimes instead of storing
  snapshot state on `Shell`
  - preserve inherited and in-flight generations by pinning their `Arc`
  while they are in use
  
  ## Test plan
  
  - `cargo check -p codex-core --lib`
  - `just test -p codex-core 'shell_snapshot::tests'`
  - `just test -p codex-core
  shell_command_snapshot_still_intercepts_apply_patch`
  - `just test -p codex-core
  shell_snapshot_deleted_after_shutdown_with_skills`

  pakrym-oai · 2026-06-15 08:18:13 -07:00
  1aa3e432cc
• Make MCP server contributions thread-scoped (#27670)

  ## Why
  
  `selectedCapabilityRoots` belongs to one thread, but MCP contributors
  previously received only the global Codex config. That left no clean way
  for a selected executor capability to contribute MCP servers to its own
  thread.
  
  ## What this PR does
  
  - Gives MCP contributors a small context containing the config and, for
  a running thread, its frozen host-seeded inputs.
  - Uses the same thread inputs during startup, status queries, refreshes,
  and skill dependency checks.
  - Keeps threadless MCP operations and the existing hosted Apps behavior
  unchanged.
  - Adds coverage showing that two threads resolve independent
  registrations and that later lifecycle mutations do not change the
  frozen MCP inputs.
  
  This PR does not discover plugin manifests, add MCP servers, or launch
  anything new. It only establishes the thread-scoped registration
  boundary.
  
  ## Follow-ups
  
  - Resolve selected executor plugin roots through their owning
  environment filesystem.
  - Convert their stdio MCP declarations into environment-bound
  registrations and add an executor MCP end-to-end test.
  
  ## Verification
  
  - `just fmt`
  - `cargo check --tests -p codex-protocol -p codex-extension-api -p
  codex-mcp-extension -p codex-core -p codex-app-server`
  
  Tests and Clippy were not run.

  jif · 2026-06-12 11:20:34 +02:00
  693082f3c4
• skills: make backend plugin skills invocable without an executor (#27387)

  ## Why
  
  #27198 made the extension-owned `codex_apps` MCP connection the hosted
  plugin runtime, but its `mcp/skill` resources still bypassed the skills
  extension. App-server could list and read those resources through
  generic MCP APIs, but a thread with no selected environment did not
  expose them in the model's skills catalog or load their `SKILL.md`
  through `$skill`.
  
  Hosted skills should stay remote while using the same typed catalog,
  source authority, deduplication, bounded contextual catalog, and
  selected-skill prompt injection as host and executor skills. They should
  not be downloaded or exposed as ambient filesystem paths.
  
  ## What changed
  
  - Add a session-scoped `McpResourceClient` over the replaceable MCP
  connection manager so resource list/read calls follow startup and
  refresh replacements.
  - Add a `BackendSkillProvider` that pages `codex_apps` resources,
  accepts bounded and validated `mcp/skill` entries, and reads a selected
  skill's `SKILL.md` through the same MCP connection.
  - Register the remote provider in app-server and include it in the
  skills catalog even when a thread has no selected capability roots or
  executor.
  - Contribute hosted skill metadata through the bounded
  `AvailableSkillsInstructions` developer-context path, exclude remote
  entries from per-turn catalog injection, and classify `<skills>`
  messages as contextual developer content so rollback can trim and
  rebuild them correctly.
  
  ## Testing
  
  - Extend the app-server MCP resource integration test with
  `environments: []` to exercise two-page discovery, filter a
  non-`mcp/skill` resource, verify the escaped developer catalog entry and
  user-role `<skill>` fragment containing the fetched `SKILL.md`, and
  preserve generic MCP resource reads.
  - Add core event-mapping coverage that classifies `<skills>` developer
  messages as contextual history.

  jif · 2026-06-11 11:28:16 +02:00
  a287c5dffd
• Use latest-wins MCP manager replacement (#27259)

  ## Summary
  
  We originally addressed startup prewarming holding the read side of
  `RwLock<McpConnectionManager>` by snapshotting tool-list state. Review
  feedback identified the broader ownership problem: the outer
  synchronization should only publish or retrieve the current manager,
  while MCP operations rely on the manager's internal synchronization. A
  follow-up preserved operation retirement with a separate gate, but
  further review questioned whether that synchronization was actually
  required and whether we could support latest-wins replacement instead.
  
  This PR now stores the current MCP manager in `ArcSwap`. Each operation
  uses `load_full()` to obtain an owned `Arc<McpConnectionManager>`, then
  performs MCP I/O without retaining the publication mechanism. Refresh
  cancels obsolete startup work, constructs a replacement, and atomically
  publishes it. New operations see the latest manager, while operations
  that already loaded the previous manager retain a valid handle. Refresh
  happens at a turn boundary, so there should be no active user tool calls
  to drain.
  
  Git history supports dropping the outer `RwLock`. It was introduced in
  `03ffe4d595` on November 17, 2025 for non-blocking MCP startup: the
  session published an empty manager, startup initialized that same object
  while holding the write lock, and readers waited for initialization.
  `7cd2e84026` on February 19, 2026 removed that two-phase initialization
  in favor of constructing a fresh manager and swapping it in, explicitly
  noting that `Option` or `OnceCell` could replace the placeholder design.
  Hot reload later reused the existing lock to publish a replacement, but
  I found no indication that the lock was introduced to guarantee
  in-flight tool calls finish before refresh or shutdown.
  
  Terminal shutdown remains separate from refresh: it aborts startup
  prewarming and active tasks before shutting down the current manager, so
  tool calls may be interrupted and no model WebSocket work continues
  after shutdown. Focused regression coverage exercises pending tool-list
  cancellation, deferred refresh, and startup-prewarm shutdown.

  Charlie Marsh · 2026-06-10 08:33:21 -07:00
  41b4fabbb4
• [codex] Make MCP connection startup fallible (#27261)

  ## Why
  
  Required MCP server startup was enforced in `Session::new` after
  `McpConnectionManager` had already created the clients. That split let
  other manager construction paths bypass the same requirement and exposed
  manager internals solely so the session could validate them. Keeping
  required-server readiness in the constructor gives every caller one
  consistent startup contract.
  
  ## What changed
  
  - make `McpConnectionManager::new` return `anyhow::Result<Self>` and
  fail when an enabled, required server cannot initialize
  - pass the startup cancellation token into the constructor so
  required-server waits remain cancellable
  - propagate constructor failures through resource reads, connector
  discovery, and MCP status collection
  - preserve the active manager and cancellation token when a refreshed
  replacement fails
  - keep required-startup failure collection private and cover the
  constructor error contract directly
  
  ## Validation
  
  - updated the focused connection-manager test to assert the complete
  required-server startup error
  - local tests not run; relying on CI

  Ahmed Ibrahim · 2026-06-10 00:17:58 -07:00
  a7b6baecc6
• core: refresh active permission profiles at runtime (#22931)

  ## Why
  
  Once a named permission profile is selected, runtime state has to keep
  that profile identity intact instead of collapsing back to anonymous
  effective permissions. The session refresh path also needs to rebuild
  profile-derived network proxy state so active profile switches take
  effect consistently.
  
  ## What changed
  
  - Preserve the active permission profile through session updates.
  - Rebuild profile-derived runtime/network configuration when the active
  profile changes.
  - Keep the runtime path aligned with the current session configuration
  APIs.
  - Tighten the affected tests, including the Windows delete-pending
  memory-file case that was intermittently tripping CI.
  
  ## Stack
  
  1. **This PR**: runtime/session/network propagation for active
  permission profiles.
  2. [#23708](https://github.com/openai/codex/pull/23708): TUI selection
  plumbing and guardrail flow.
  3. [#21559](https://github.com/openai/codex/pull/21559): profile-aware
  `/permissions` menu and custom profile display.
  
  <img width="1296" height="906" alt="image"
  src="https://github.com/user-attachments/assets/077fa3a7-80cb-4925-80b1-d2395018d90a"
  />

  viyatb-oai · 2026-05-20 21:55:21 +00:00
  40ad7be2b5
• 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
• 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(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
• [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
• 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
• 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: 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
• 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
• core: Make FileWatcher reusable (#15093)

  ### Summary
  Make `FileWatcher` a reusable core component which can be built upon.
  Extract skills-related logic into a separate `SkillWatcher`.
  Introduce a composable `ThrottledWatchReceiver` to throttle filesystem
  events, coalescing affected paths among them.
  
  ### Testing
  Updated existing unit tests.

  Ruslan Nigmatullin · 2026-03-24 11:04:47 -07:00
  daf5e584c2
• Move environment abstraction into exec server (#15125)

  The idea is that codex-exec exposes an Environment struct with services
  on it. Each of those is a trait.
  
  Depending on construction parameters passed to Environment they are
  either backed by local or remote server but core doesn't see these
  differences.

  pakrym-oai · 2026-03-19 08:31:14 -07:00
  dee03da508
• fix(subagents) share execpolicy by default (#13702)

  ## Summary
  If a subagent requests approval, and the user persists that approval to
  the execpolicy, it should (by default) propagate. We'll need to rethink
  this a bit in light of coming Permissions changes, though I think this
  is closer to the end state that we'd want, which is that execpolicy
  changes to one permissions profile should be synced across threads.
  
  ## Testing
  - [x] Added integration test
  
  ---------
  
  Co-authored-by: Codex <noreply@openai.com>

  Dylan Hurd · 2026-03-18 06:42:26 +00:00
  84f4e7b39d
• Add FS abstraction and use in view_image (#14960)

  Adds an environment crate and environment + file system abstraction.
  
  Environment is a combination of attributes and services specific to
  environment the agent is connected to:
  File system, process management, OS, default shell.
  
  The goal is to move most of agent logic that assumes environment to work
  through the environment abstraction.

  pakrym-oai · 2026-03-17 17:36:23 -07:00
  83a60fdb94
• Support waiting for code_mode sessions (#14295)

  ## Summary
  - persist the code mode runner process in the session-scoped code mode
  store
  - switch the runner protocol from `init` to `start` with explicit
  session ids
  - handle runner-side session processing without the init waiter queue
  
  ## Validation
  - just fmt
  - cargo check -p codex-core
  - node --check codex-rs/core/src/tools/code_mode_runner.cjs

  pakrym-oai · 2026-03-11 23:13:54 -07:00
  f6c6128fc7
• Add store/load support for code mode (#14259)

  adds support for transferring state across code mode invocations.

  pakrym-oai · 2026-03-11 12:33:09 -07:00
  83b22bb612
• 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`

  Owen Lin · 2026-03-06 16:23:30 -08:00
  289ed549cf
• feat: load from plugins (#12864)

  Support loading plugins.
  
  Plugins can now be enabled via [plugins.<name>] in config.toml. They are
  loaded as first-class entities through PluginsManager, and their default
  skills/ and .mcp.json contributions are integrated into the existing
  skills and MCP flows.

  xl-openai · 2026-03-01 10:50:56 -08:00
  752402c4fe
• feat: scope execve session approvals by approved skill metadata (#12814)

  Previous to this change, `determine_action()` would
  
  1. check if `program` is associated with a skill
  2. if so, check if `program` is in `execve_session_approvals` to see
  whether the user needs to be prompted
  
  This PR flips the order of these checks to try to set us up so that
  "session approvals" are always consulted first (which should soon extend
  to include session approvals derived from `prefix_rule()`s, as well).
  
  Though to make the new ordering work, we need to record any relevant
  metadata to associate with the approval, which in the case of a
  skill-based approval is the `SkillMetadata` so that we can derive the
  `PermissionProfile` to include with the escalation. (Though as noted by
  the `TODO`, this `PermissionProfile` is not honored yet.)
  
  The new `ExecveSessionApproval` struct is used to retain the necessary
  metadata.
  
  ## What Changed
  
  - Replace the `execve_session_approvals` `HashSet` with a map that
  stores an `ExecveSessionApproval` alongside each approved `program`.
  - When a user chooses `ApprovedForSession` for a skill script, capture
  the matched `SkillMetadata` in the session approval entry.
  - Consult that cache before re-running `find_skill()`, and reuse the
  originally approved skill metadata and permission profile when allowing
  later execve callbacks in the same session.

  Michael Bolin · 2026-02-25 15:30:24 -08:00
  a6a5976c5a
• feat: record whether a skill script is approved for the session (#12756)

  ## Why
  
  `unix_escalation.rs` checks a session-scoped approval cache before
  prompting again for an execve-intercepted skill script. Without also
  recording `ReviewDecision::ApprovedForSession`, that cache never gets
  populated, so the same skill script can still trigger repeated approval
  prompts within one session.
  
  ## What Changed
  
  - Add `execve_session_approvals` to `SessionServices` so the session can
  track approved skill script paths.
  - Record the script path when a skill-script prompt returns
  `ReviewDecision::ApprovedForSession`, but only for the skill-script path
  rather than broader prefix-rule approvals.
  - Reuse the cached approval on later execve callbacks by treating an
  already-approved skill script as `Decision::Allow`.
  
  ---
  [//]: # (BEGIN SAPLING FOOTER)
  Stack created with [Sapling](https://sapling-scm.com). Best reviewed
  with [ReviewStack](https://reviewstack.dev/openai/codex/pull/12756).
  * #12758
  * __->__ #12756

  Michael Bolin · 2026-02-25 10:17:22 +00:00
  93efcfd50d
• feat: pass helper executable paths via Arg0DispatchPaths (#12719)

  ## Why
  
  `codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs` previously
  located `codex-execve-wrapper` by scanning `PATH` and sibling
  directories. That lookup is brittle and can select the wrong binary when
  the runtime environment differs from startup assumptions.
  
  We already pass `codex-linux-sandbox` from `codex-arg0`;
  `codex-execve-wrapper` should use the same startup-driven path plumbing.
  
  ## What changed
  
  - Introduced `Arg0DispatchPaths` in `codex-arg0` to carry both helper
  executable paths:
    - `codex_linux_sandbox_exe`
    - `main_execve_wrapper_exe`
  - Updated `arg0_dispatch_or_else()` to pass `Arg0DispatchPaths` to
  top-level binaries and preserve helper paths created in
  `prepend_path_entry_for_codex_aliases()`.
  - Threaded `Arg0DispatchPaths` through entrypoints in `cli`, `exec`,
  `tui`, `app-server`, and `mcp-server`.
  - Added `main_execve_wrapper_exe` to core configuration plumbing
  (`Config`, `ConfigOverrides`, and `SessionServices`).
  - Updated zsh-fork shell escalation to consume the configured
  `main_execve_wrapper_exe` and removed path-sniffing fallback logic.
  - Updated app-server config reload paths so reloaded configs keep the
  same startup-provided helper executable paths.
  
  ## References
  
  - [`Arg0DispatchPaths`
  definition](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/arg0/src/lib.rs#L20-L24)
  - [`arg0_dispatch_or_else()` forwarding both
  paths](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/arg0/src/lib.rs#L145-L176)
  - [zsh-fork escalation using configured wrapper
  path](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs#L109-L150)
  
  ## Testing
  
  - `cargo check -p codex-arg0 -p codex-core -p codex-exec -p codex-tui -p
  codex-mcp-server -p codex-app-server`
  - `cargo test -p codex-arg0`
  - `cargo test -p codex-core tools::runtimes::shell::unix_escalation:: --
  --nocapture`

  Michael Bolin · 2026-02-24 17:44:38 -08:00
  e88f74d140
• feat: run zsh fork shell tool via shell-escalation (#12649)

  ## Why
  
  This PR switches the `shell_command` zsh-fork path over to
  `codex-shell-escalation` so the new shell tool can use the shared
  exec-wrapper/escalation protocol instead of the `zsh_exec_bridge`
  implementation that was introduced in
  https://github.com/openai/codex/pull/12052. `zsh_exec_bridge` relied on
  UNIX domain sockets, which is not as tamper-proof as the FD-based
  approach in `codex-shell-escalation`.
  
  ## What Changed
  
  - Added a Unix zsh-fork runtime adapter in `core`
  (`core/src/tools/runtimes/shell/unix_escalation.rs`) that:
  - runs zsh-fork commands through
  `codex_shell_escalation::run_escalate_server`
    - bridges exec-policy / approval decisions into `ShellActionProvider`
  - executes escalated commands via a `ShellCommandExecutor` that calls
  `process_exec_tool_call`
  - Updated `ShellRuntime` / `ShellCommandHandler` / tool spec wiring to
  select a `shell_command` backend (`classic` vs `zsh-fork`) while leaving
  the generic `shell` tool path unchanged.
  - Removed the `zsh_exec_bridge`-based session service and deleted
  `core/src/zsh_exec_bridge/mod.rs`.
  - Moved exec-wrapper entrypoint dispatch to `arg0` by handling the
  `codex-execve-wrapper` arg0 alias there, and removed the old
  `codex_core::maybe_run_zsh_exec_wrapper_mode()` hooks from `cli` and
  `app-server` mains.
  - Added the needed `codex-shell-escalation` dependencies for `core` and
  `arg0`.
  
  ## Tests
  
  - `cargo test -p codex-core
  shell_zsh_fork_prefers_shell_command_over_unified_exec`
  - `cargo test -p codex-app-server turn_start_shell_zsh_fork --
  --nocapture`
  - verifies zsh-fork command execution and approval flows through the new
  backend
  - includes subcommand approve/decline coverage using the shared zsh
  DotSlash fixture in `app-server/tests/suite/zsh`
  - To test manually, I added the following to `~/.codex/config.toml`:
  
  ```toml
  zsh_path = "/Users/mbolin/code/codex3/codex-rs/app-server/tests/suite/zsh"
  
  [features]
  shell_zsh_fork = true
  ```
  
  Then I ran `just c` to run the dev build of Codex with these changes and
  sent it the message:
  
  ```
  run `echo $0`
  ```
  
  And it replied with:
  
  ```
    echo $0 printed:
  
    /Users/mbolin/code/codex3/codex-rs/app-server/tests/suite/zsh
  
    In this tool context, $0 reflects the script path used to invoke the shell, not just zsh.
  ```
  
  so the tool appears to be wired up correctly.
  
  ## Notes
  
  - The zsh subcommand-decline integration test now uses `rm` under a
  `WorkspaceWrite` sandbox. The previous `/usr/bin/true` scenario is
  auto-allowed by the new `shell-escalation` policy path, which no longer
  produces subcommand approval prompts.

  Michael Bolin · 2026-02-24 10:31:08 -08:00
  3ca0e7673b
• feat(core): zsh exec bridge (#12052)

  zsh fork PR stack:
  - https://github.com/openai/codex/pull/12051 
  - https://github.com/openai/codex/pull/12052 👈 
  
  ### Summary
  This PR introduces a feature-gated native shell runtime path that routes
  shell execution through a patched zsh exec bridge, removing MCP-specific
  behavior from the shell hot path while preserving existing
  CommandExecution lifecycle semantics.
  
  When shell_zsh_fork is enabled, shell commands run via patched zsh with
  per-`execve` interception through EXEC_WRAPPER. Core receives wrapper
  IPC requests over a Unix socket, applies existing approval policy, and
  returns allow/deny before the subcommand executes.
  
  ### What’s included
  **1) New zsh exec bridge runtime in core**
  - Wrapper-mode entrypoint (maybe_run_zsh_exec_wrapper_mode) for
  EXEC_WRAPPER invocations.
  - Per-execution Unix-socket IPC handling for wrapper requests/responses.
  - Approval callback integration using existing core approval
  orchestration.
  - Streaming stdout/stderr deltas to existing command output event
  pipeline.
  - Error handling for malformed IPC, denial/abort, and execution
  failures.
  
  **2) Session lifecycle integration**
  SessionServices now owns a `ZshExecBridge`.
  Session startup initializes bridge state; shutdown tears it down
  cleanly.
  
  **3) Shell runtime routing (feature-gated)**
  When `shell_zsh_fork` is enabled:
  - Build execution env/spec as usual.
  - Add wrapper socket env wiring.
  - Execute via `zsh_exec_bridge.execute_shell_request(...)` instead of
  the regular shell path.
  - Non-zsh-fork behavior remains unchanged.
  
  **4) Config + feature wiring**
  - Added `Feature::ShellZshFork` (under development).
  - Added config support for `zsh_path` (optional absolute path to patched
  zsh):
  - `Config`, `ConfigToml`, `ConfigProfile`, overrides, and schema.
  - Session startup validates that `zsh_path` exists/usable when zsh-fork
  is enabled.
  - Added startup test for missing `zsh_path` failure mode.
  
  **5) Seatbelt/sandbox updates for wrapper IPC**
  - Extended seatbelt policy generation to optionally allow outbound
  connection to explicitly permitted Unix sockets.
  - Wired sandboxing path to pass wrapper socket path through to seatbelt
  policy generation.
  - Added/updated seatbelt tests for explicit socket allow rule and
  argument emission.
  
  **6) Runtime entrypoint hooks**
  - This allows the same binary to act as the zsh wrapper subprocess when
  invoked via `EXEC_WRAPPER`.
  
  **7) Tool selection behavior**
  - ToolsConfig now prefers ShellCommand type when shell_zsh_fork is
  enabled.
  - Added test coverage for precedence with unified-exec enabled.

  Owen Lin · 2026-02-17 20:19:53 -08:00
  edacbf7b6e