Commit Graph

37 Commits

  • [codex] Expose service tier and reasoning effort in OTEL (#29155)
    ## Summary
    
    NVIDIA asked to measure Fast mode usage and reasoning effort from Codex
    CLI OTEL logs. Add the finalized `service_tier` and
    `model_reasoning_effort` to the existing `codex.sse_event`
    `response.completed` record.
    
    This intentionally reuses the existing completion event and leaves
    transport APIs and shared telemetry plumbing unchanged.
    
    ## Testing
    
    - `cargo build -p codex-cli --bin codex`
    - `just test -p codex-core responses_api_emits_api_request_event`
    - End-to-end with the built CLI and a local OTLP/HTTP collector:
    - Fast/high emitted `service_tier=priority` and
    `model_reasoning_effort=high` with token usage.
    - Standard/low omitted `service_tier` and emitted
    `model_reasoning_effort=low` with token usage.
  • Pair thread environment settings (#26687)
    ## Why
    
    Thread cwd and environment selections are a single logical setting in
    core: updating one without the other can silently desynchronize the
    next-turn execution context. This change makes that relationship
    explicit in the internal thread settings flow while preserving the
    existing app-server public API shape.
    
    ## What changed
    
    - Moved the cwd/environment pair through internal
    `ThreadSettingsOverrides.environment_settings` instead of a top-level
    internal `cwd` field.
    - Kept `thread/settings/update` public params unchanged, with app-server
    translating top-level `cwd` into the paired internal settings shape.
    - Moved `Op::UserInput` environment overrides into thread settings so
    user turns and settings updates use the same core path.
    - Updated core, app-server, MCP, memories, sample, and test callsites to
    construct the paired settings shape.
    
    ## Verification
    
    - `git diff --check`
    - Local test run starting after PR creation.
  • [codex] Emit sandbox outcome telemetry event (#25955)
    ## Summary
    
    Adds a dedicated `codex.sandbox_outcome` telemetry event so we can query
    sandbox edge outcomes without threading sandbox metadata through
    tool-result output types.
    
    This is meant to make sandbox failures and approved escalation retries
    visible in OTEL while keeping the existing `codex.tool_result` event
    shape focused on tool completion data.
    
    ## What changed
    
    - Adds `SessionTelemetry::sandbox_outcome(...)`, which emits
    `codex.sandbox_outcome` as both a log and trace event.
    - Records the tool name, call id, sandbox outcome, initial attempt
    duration, and escalated attempt duration when a retry runs.
    - Emits `denied` when the sandbox blocks execution and no retry is run.
    - Emits `timed_out` and `signal` when those sandbox errors surface from
    tool execution.
    - Emits `escalated` when the initial sandboxed attempt fails and the
    approved unsandboxed retry succeeds.
    - Adds OTEL coverage for the new event payload, including timing fields.
    
    ## Validation
    
    - `RUST_MIN_STACK=8388608 just test -p codex-core
    sandbox_outcome_event_records_outcome
    handle_sandbox_error_user_approves_retry_records_tool_decision`
    - `just test -p codex-otel
    otel_export_routing_policy_routes_tool_result_log_and_trace_events
    runtime_metrics_summary_collects_tool_api_and_streaming_metrics`
    - `just fix -p codex-core`
    - `just fix -p codex-otel`
  • Add experimental turn additional context (#24154)
    ## Summary
    
    Adds experimental `additionalContext` support to `turn/start` and
    `turn/steer` so clients can provide ephemeral external context, such as
    browser or automation state, without turning that plumbing into a
    visible user prompt or triggering user-prompt lifecycle behavior.
    
    ## API Shape
    
    The parameter shape is:
    
    ```ts
    additionalContext?: Record<string, {
      value: string
      kind: "untrusted" | "application"
    }> | null
    ```
    
    Example:
    
    ```json
    {
      "additionalContext": {
        "browser_info": {
          "value": "Active tab is CI failures.",
          "kind": "untrusted"
        },
        "automation_info": {
          "value": "CI rerun is in progress.",
          "kind": "application"
        }
      }
    }
    ```
    
    The keys are opaque and caller-defined.
    
    ## Context Injection
    
    When provided, accepted entries are inserted into model context as
    hidden contextual message items, not as visible thread user-message
    items.
    
    `kind: "untrusted"` entries are inserted with role `user`:
    
    ```text
    <external_${key}>${value}</external_${key}>
    ```
    
    `kind: "application"` entries are inserted with role `developer`:
    
    ```text
    <${key}>${value}</${key}>
    ```
    
    Values are not escaped. Each value is truncated to 1k approximate tokens
    before wrapping.
    
    For `turn/start`, accepted additional context is inserted before normal
    user input. For `turn/steer`, additional context is merged only when the
    steer includes non-empty user input; context-only steers still reject as
    empty input.
    
    ## Dedupe Strategy
    
    `AdditionalContextStore` lives on session state and stores the latest
    complete additional-context map.
    
    Each `turn/start` or non-empty `turn/steer` treats its
    `additionalContext` as the current complete set of values. Entries are
    injected only when the key is new or the exact entry for that key
    changed, including `value` or `kind`. After merging, the store is
    replaced with the provided map, so omitted keys are removed from the
    retained set and can be injected again later if reintroduced.
    
    Omitting `additionalContext`, passing `null`, or passing an empty object
    resets the store to empty and injects nothing.
    
    ## What Changed
    
    - Threads experimental v2 `additionalContext` through app-server into
    core turn start and steer handling.
    - Adds separate contextual fragment types for untrusted user-role
    context and application developer-role context.
    - Uses pending response input items so additional context can be
    combined with normal user input without treating it as prompt text.
    - Adds integration coverage for start/steer flow, role routing,
    dedupe/reset behavior, deletion/re-add behavior, hook-blocked input
    behavior, empty context-only steer rejection, external-fragment marker
    matching, and truncation.
  • [1 of 7] Add thread settings to UserInput (#23080)
    **Stack position:** [1 of 7]
    
    ## Summary
    
    The first three PRs in this stack are a cleanup pass before the actual
    thread settings API work.
    
    Today, core has several overlapping "user input" ops: `UserInput`,
    `UserInputWithTurnContext`, and `UserTurn`. They differ mostly in how
    much next-turn state they carry, which makes the later queued thread
    settings update harder to reason about and review.
    
    This PR starts that cleanup by adding the shared
    `ThreadSettingsOverrides` payload and allowing `Op::UserInput` to carry
    it. Existing variants remain in place here, so this layer is mostly a
    behavior-preserving API shape change plus mechanical constructor
    updates.
    
    ## End State After PR3
    
    By the end of PR3, `Op::UserInput` is the only "user input" core op. It
    can carry optional thread settings overrides for callers that need to
    update stored defaults with a turn, while callers without updates use
    empty settings. `Op::UserInputWithTurnContext` and `Op::UserTurn` are
    deleted.
    
    ## End State After PR5
    
    By the end of PR5, core will have only two ops for this area:
    
    - `Op::UserInput` for user-input-bearing submissions.
    - `Op::ThreadSettings` for settings-only updates.
    
    ## Stack
    
    1. [1 of 7] [Add thread settings to
    UserInput](https://github.com/openai/codex/pull/23080) (this PR)
    2. [2 of 7] [Remove
    UserInputWithTurnContext](https://github.com/openai/codex/pull/23081)
    3. [3 of 7] [Remove
    UserTurn](https://github.com/openai/codex/pull/23075)
    4. [4 of 7] [Placeholder for OverrideTurnContext
    cleanup](https://github.com/openai/codex/pull/23087)
    5. [5 of 7] [Replace OverrideTurnContext with
    ThreadSettings](https://github.com/openai/codex/pull/22508)
    6. [6 of 7] [Add app-server thread settings
    API](https://github.com/openai/codex/pull/22509)
    7. [7 of 7] [Sync TUI thread
    settings](https://github.com/openai/codex/pull/22510)
  • [codex] Remove unused legacy shell tools (#22246)
    ## Why
    
    Recent session history showed no active use of the raw `shell`,
    `local_shell`, or `container.exec` execution surfaces. Keeping those
    handlers/specs wired into core leaves duplicate shell execution paths
    alongside the supported `shell_command` and unified exec tools.
    
    ## What changed
    
    - Removed the raw `shell` handler/spec and its `ShellToolCallParams`
    protocol helper.
    - Removed the legacy `local_shell` and `container.exec` handler/spec
    plumbing while preserving persisted-history compatibility for old
    response items.
    - Normalized model/config `default` and `local` shell selections to
    `shell_command`.
    - Pruned tests that exercised removed raw-shell/local-shell/apply-patch
    variants and kept coverage on `shell_command`, unified exec, and
    freeform `apply_patch`.
    
    ## Verification
    
    - `git diff --check`
    - `cargo test -p codex-protocol`
    - `cargo test -p codex-tools`
    - `cargo test -p codex-core tools::handlers::shell`
    - `cargo test -p codex-core tools::spec`
    - `cargo test -p codex-core tools::router`
    - `cargo test -p codex-core
    active_call_preserves_triggering_command_context`
    - `cargo test -p codex-core guardian_tests`
    - `cargo test -p codex-core --test all shell_serialization`
    - `cargo test -p codex-core --test all apply_patch_cli`
    - `cargo test -p codex-core --test all shell_command_`
    - `cargo test -p codex-core --test all local_shell`
    - `cargo test -p codex-core --test all otel::`
    - `cargo test -p codex-core --test all hooks::`
    - `just fix -p codex-core`
    - `just fix -p codex-tools`
  • Unify thread metadata updates above store (#22236)
    - make ThreadStore::update_thread_metadata accept a broad range of
    metadata patches
    - keep ThreadStore::append_items as raw canonical history append (no
    metadata side effects)
    - in the local store, write these metadata updates to a combination of
    sqlite and rollout jsonl files for backwards-compat. It special cases
    which fields need to go into jsonl vs sqlite vs whatever, confining the
    awkwardness to just this implementation
    - in remote stores we can simply persist the metadata directly to a
    database, no special casing required.
    - move the "implicit metadata updates triggered by appending rollout
    items" from the RolloutRecorder (which is local-threadstore-specific) to
    the LiveThread layer above the ThreadStore, inside of a private helper
    utility called ThreadMetadataSync. LiveThread calls ThreadStore
    append_items and update_metadata separately.
    - Add a generic update metadata method to ThreadManager that works on
    both live threads and "cold" threads
    - Call that ThreadManager method from app server code, so app server
    doesn't need to worry about whether the thread is live or not
  • Add reasoning effort to turn tracing spans (#20060)
    Why
    #19432 added token usage to the turn and response spans. This follow-up
    adds the configured reasoning effort so performance traces can be
    filtered by model effort.
    
    [example
    trace](https://openai.datadoghq.com/apm/trace/1ff708a87159ff4898bdc8bd6091ec18?graphType=waterfall&shouldShowLegend=true&spanID=6596351544047485652&traceQuery=)
    <img width="533" height="434" alt="Screenshot 2026-04-28 at 3 52 12 PM"
    src="https://github.com/user-attachments/assets/77ef32fc-d7cd-4eec-87b4-26c6798f1af8"
    />
    
    
    What Changed
    - Adds `codex.turn.reasoning_effort` to the turn span.
    - Adds `codex.request.reasoning_effort` to `handle_responses`.
    - Extends the span test to cover explicit `high` effort with token
    usage.
    
    Testing
    - `cargo test -p codex-core
    turn_and_completed_response_spans_record_token_usage`
    - `cargo test -p codex-otel`
    - `just fmt`
    - `just fix -p codex-core`
    - `just fix -p codex-otel`
  • core tests: configure profiles directly (#20015)
    ## Summary
    - Replace legacy sandbox config setup in delegate and telemetry tests
    with direct `PermissionProfile` configuration.
    - Move no-sandbox and read-only test turns in `tools.rs`,
    `code_mode.rs`, `user_shell_cmd.rs`, and `model_visible_layout.rs` from
    legacy `SandboxPolicy` values to `PermissionProfile` helpers, while
    leaving the deny-glob read-only compatibility case for a later targeted
    cleanup.
    - Use `PermissionProfile::read_only()` where tests need managed
    read-only behavior and `PermissionProfile::Disabled` where they
    intentionally need no sandbox.
    - Reduce `SandboxPolicy` references in `codex-rs/core/tests` from 27
    files after #20013 to 22 files.
    
    ## Testing
    - `cargo check -p codex-core --tests`
    - `just fmt`
  • [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.
  • tests: isolate approval fixtures from host rules (#18288)
    ## Why
    
    Several approval-focused tests were unintentionally sensitive to
    host-level rule files. On machines with broader allowed command
    prefixes, commonly allowed commands such as `/bin/date` could bypass the
    approval path these tests were meant to exercise, making the fixtures
    depend on the developer or CI host configuration.
    
    ## What changed
    
    - Pins the approval matrix fixture to the explicit user reviewer so it
    does not inherit a host reviewer.
    - Changes OTel approval fixtures to request `/usr/bin/touch
    codex-otel-approval-test`, avoiding a command that may be pre-approved
    by local rules.
    - Clears the config layer stack for the permissions-message assertion
    that needs to compare only the permissions text under test.
    
    ## Verification
    
    - `env -u CODEX_SANDBOX_NETWORK_DISABLED cargo test -p codex-core --test
    all approval_matrix_covers_all_modes -- --nocapture`
    - `env -u CODEX_SANDBOX_NETWORK_DISABLED cargo test -p codex-core --test
    all permissions_messages -- --nocapture`
  • Add turn-scoped environment selections (#18416)
    ## Summary
    - add experimental turn/start.environments params for per-turn
    environment id + cwd selections
    - pass selections through core protocol ops and resolve them with
    EnvironmentManager before TurnContext creation
    - treat omitted selections as default behavior, empty selections as no
    environment, and non-empty selections as first environment/cwd as the
    turn primary
    
    ## Testing
    - ran `just fmt`
    - ran `just write-app-server-schema`
    - not run: unit tests for this stacked PR
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • 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.
  • 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_
  • Forward app-server turn clientMetadata to Responses (#16009)
    ## Summary
    App-server v2 already receives turn-scoped `clientMetadata`, but the
    Rust app-server was dropping it before the outbound Responses request.
    This change keeps the fix lightweight by threading that metadata through
    the existing turn-metadata path rather than inventing a new transport.
    
    ## What we're trying to do and why
    We want turn-scoped metadata from the app-server protocol layer,
    especially fields like Hermes/GAAS run IDs, to survive all the way to
    the actual Responses API request so it is visible in downstream
    websocket request logging and analytics.
    
    The specific bug was:
    - app-server protocol uses camelCase `clientMetadata`
    - Responses transport already has an existing turn metadata carrier:
    `x-codex-turn-metadata`
    - websocket transport already rewrites that header into
    `request.request_body.client_metadata["x-codex-turn-metadata"]`
    - but the Rust app-server never parsed or stored `clientMetadata`, so
    nothing from the app-server request was making it into that existing
    path
    
    This PR fixes that without adding a new header or a second metadata
    channel.
    
    ## How we did it
    ### Protocol surface
    - Add optional `clientMetadata` to v2 `TurnStartParams` and
    `TurnSteerParams`
    - Regenerate the JSON schema / TypeScript fixtures
    - Update app-server docs to describe the field and its behavior
    
    ### Runtime plumbing
    - Add a dedicated core op for app-server user input carrying turn-scoped
    metadata: `Op::UserInputWithClientMetadata`
    - Wire `turn/start` and `turn/steer` through that op / signature path
    instead of dropping the metadata at the message-processor boundary
    - Store the metadata in `TurnMetadataState`
    
    ### Transport behavior
    - Reuse the existing serialized `x-codex-turn-metadata` payload
    - Merge the new app-server `clientMetadata` into that JSON additively
    - Do **not** replace built-in reserved fields already present in the
    turn metadata payload
    - Keep websocket behavior unchanged at the outer shape level: it still
    sends only `client_metadata["x-codex-turn-metadata"]`, but that JSON
    string now contains the merged fields
    - Keep HTTP fallback behavior unchanged except that the existing
    `x-codex-turn-metadata` header now includes the merged fields too
    
    ### Request shape before / after
    Before, a websocket `response.create` looked like:
    ```json
    {
      "type": "response.create",
      "client_metadata": {
        "x-codex-turn-metadata": "{\"session_id\":\"...\",\"turn_id\":\"...\"}"
      }
    }
    ```
    Even if the app-server caller supplied `clientMetadata`, it was not
    represented there.
    
    After, the same request shape is preserved, but the serialized payload
    now includes the new turn-scoped fields:
    ```json
    {
      "type": "response.create",
      "client_metadata": {
        "x-codex-turn-metadata": "{\"session_id\":\"...\",\"turn_id\":\"...\",\"fiber_run_id\":\"fiber-start-123\",\"origin\":\"gaas\"}"
      }
    }
    ```
    
    ## Validation
    ### Targeted tests added / updated
    - protocol round-trip coverage for `clientMetadata` on `turn/start` and
    `turn/steer`
    - protocol round-trip coverage for `Op::UserInputWithClientMetadata`
    - `TurnMetadataState` merge test proving client metadata is added
    without overwriting reserved built-in fields
    - websocket request-shape test proving outbound `response.create`
    contains merged metadata inside
    `client_metadata["x-codex-turn-metadata"]`
    - app-server integration tests proving:
    - `turn/start` forwards `clientMetadata` into the outbound Responses
    request path
      - websocket warmup + real turn request both behave correctly
      - `turn/steer` updates the follow-up request metadata
    
    ### Commands run
    - `just write-app-server-schema`
    - `cargo test -p codex-app-server-protocol`
    - `cargo test -p codex-protocol`
    - `cargo test -p codex-core
    turn_metadata_state_merges_client_metadata_without_replacing_reserved_fields
    --lib`
    - `cargo test -p codex-core --test all
    responses_websocket_preserves_custom_turn_metadata_fields`
    - `cargo test -p codex-app-server --test all client_metadata`
    - `cargo test -p codex-app-server --test all
    turn_start_forwards_client_metadata_to_responses_websocket_request_body_v2
    -- --nocapture`
    - `just fmt`
    - `just fix -p codex-core -p codex-protocol -p codex-app-server-protocol
    -p codex-app-server`
    - `just fix -p codex-exec -p codex-tui-app-server`
    - `just argument-comment-lint`
    
    ### Full suite note
    `cargo test` in `codex-rs` still fails in:
    -
    `suite::v2::turn_interrupt::turn_interrupt_resolves_pending_command_approval_request`
    
    I verified that same failure on a clean detached `HEAD` worktree with an
    isolated `CARGO_TARGET_DIR`, so it is not caused by this patch.
  • [hooks] add non-streaming (non-stdin style) shell-only PreToolUse support (#15211)
    - add `PreToolUse` hook for bash-like tool execution only at first
    - block shell execution before dispatch with deny-only hook behavior
    - introduces common.rs matcher framework for matching when hooks are run
    
    example run:
    
    ```
    › run three parallel echo commands, and the second one should echo "[block-pre-tool-use]" as a test
    
    
    • Running the three echo commands in parallel now and I’ll report the output directly.
    
    • Running PreToolUse hook: name for demo pre tool use hook
    
    • Running PreToolUse hook: name for demo pre tool use hook
    
    • Running PreToolUse hook: name for demo pre tool use hook
    
    PreToolUse hook (completed)
      warning: wizard-tower PreToolUse demo inspected Bash: echo "first parallel echo"
      
    PreToolUse hook (blocked)
      warning: wizard-tower PreToolUse demo blocked a Bash command on purpose.
      feedback: PreToolUse demo blocked the command. Remove [block-pre-tool-use] to continue.
    
    PreToolUse hook (completed)
      warning: wizard-tower PreToolUse demo inspected Bash: echo "third parallel echo"
    
    • Ran echo "first parallel echo"
      └ first parallel echo
    
    • Ran echo "third parallel echo"
      └ third parallel echo
    
    • Three little waves went out in parallel.
    
      1. printed first parallel echo
      2. was blocked before execution because it contained the exact test string [block-pre-tool-use]
      3. printed third parallel echo
    
      There was also an unrelated macOS defaults warning around the successful commands, but the echoes
      themselves worked fine. If you want, I can rerun the second one with a slightly modified string so
      it passes cleanly.
    ```
  • Split features into codex-features crate (#15253)
    - Split the feature system into a new `codex-features` crate.
    - Cut `codex-core` and workspace consumers over to the new config and
    warning APIs.
    
    Co-authored-by: Ahmed Ibrahim <219906144+aibrahim-oai@users.noreply.github.com>
    Co-authored-by: Codex <noreply@openai.com>
  • fix(core) patch otel test (#14014)
    ## Summary
    This test was missing the turn completion event in the responses stream,
    so it was hanging. This PR fixes the issue
    
    ## Testing
    - [x] This does update the test
  • config: enforce enterprise feature requirements (#13388)
    ## Why
    
    Enterprises can already constrain approvals, sandboxing, and web search
    through `requirements.toml` and MDM, but feature flags were still only
    configurable as managed defaults. That meant an enterprise could suggest
    feature values, but it could not actually pin them.
    
    This change closes that gap and makes enterprise feature requirements
    behave like the other constrained settings. The effective feature set
    now stays consistent with enterprise requirements during config load,
    when config writes are validated, and when runtime code mutates feature
    flags later in the session.
    
    It also tightens the runtime API for managed features. `ManagedFeatures`
    now follows the same constraint-oriented shape as `Constrained<T>`
    instead of exposing panic-prone mutation helpers, and production code
    can no longer construct it through an unconstrained `From<Features>`
    path.
    
    The PR also hardens the `compact_resume_fork` integration coverage on
    Windows. After the feature-management changes,
    `compact_resume_after_second_compaction_preserves_history` was
    overflowing the libtest/Tokio thread stacks on Windows, so the test now
    uses an explicit larger-stack harness as a pragmatic mitigation. That
    may not be the ideal root-cause fix, and it merits a parallel
    investigation into whether part of the async future chain should be
    boxed to reduce stack pressure instead.
    
    ## What Changed
    
    Enterprises can now pin feature values in `requirements.toml` with the
    requirements-side `features` table:
    
    ```toml
    [features]
    personality = true
    unified_exec = false
    ```
    
    Only canonical feature keys are allowed in the requirements `features`
    table; omitted keys remain unconstrained.
    
    - Added a requirements-side pinned feature map to
    `ConfigRequirementsToml`, threaded it through source-preserving
    requirements merge and normalization in `codex-config`, and made the
    TOML surface use `[features]` (while still accepting legacy
    `[feature_requirements]` for compatibility).
    - Exposed `featureRequirements` from `configRequirements/read`,
    regenerated the JSON/TypeScript schema artifacts, and updated the
    app-server README.
    - Wrapped the effective feature set in `ManagedFeatures`, backed by
    `ConstrainedWithSource<Features>`, and changed its API to mirror
    `Constrained<T>`: `can_set(...)`, `set(...) -> ConstraintResult<()>`,
    and result-returning `enable` / `disable` / `set_enabled` helpers.
    - Removed the legacy-usage and bulk-map passthroughs from
    `ManagedFeatures`; callers that need those behaviors now mutate a plain
    `Features` value and reapply it through `set(...)`, so the constrained
    wrapper remains the enforcement boundary.
    - Removed the production loophole for constructing unconstrained
    `ManagedFeatures`. Non-test code now creates it through the configured
    feature-loading path, and `impl From<Features> for ManagedFeatures` is
    restricted to `#[cfg(test)]`.
    - Rejected legacy feature aliases in enterprise feature requirements,
    and return a load error when a pinned combination cannot survive
    dependency normalization.
    - Validated config writes against enterprise feature requirements before
    persisting changes, including explicit conflicting writes and
    profile-specific feature states that normalize into invalid
    combinations.
    - Updated runtime and TUI feature-toggle paths to use the constrained
    setter API and to persist or apply the effective post-constraint value
    rather than the requested value.
    - Updated the `core_test_support` Bazel target to include the bundled
    core model-catalog fixtures in its runtime data, so helper code that
    resolves `core/models.json` through runfiles works in remote Bazel test
    environments.
    - Renamed the core config test coverage to emphasize that effective
    feature values are normalized at runtime, while conflicting persisted
    config writes are rejected.
    - Ran `compact_resume_after_second_compaction_preserves_history` inside
    an explicit 8 MiB test thread and Tokio runtime worker stack, following
    the existing larger-stack integration-test pattern, to keep the Windows
    `compact_resume_fork` test slice from aborting while a parallel
    investigation continues into whether some of the underlying async
    futures should be boxed.
    
    ## Verification
    
    - `cargo test -p codex-config`
    - `cargo test -p codex-core feature_requirements_ -- --nocapture`
    - `cargo test -p codex-core
    load_requirements_toml_produces_expected_constraints -- --nocapture`
    - `cargo test -p codex-core
    compact_resume_after_second_compaction_preserves_history -- --nocapture`
    - `cargo test -p codex-core compact_resume_fork -- --nocapture`
    - Re-ran the built `codex-core` `tests/all` binary with
    `RUST_MIN_STACK=262144` for
    `compact_resume_after_second_compaction_preserves_history` to confirm
    the explicit-stack harness fixes the deterministic low-stack repro.
    - `cargo test -p codex-core`
    - This still fails locally in unrelated integration areas that expect
    the `codex` / `test_stdio_server` binaries or hit existing `search_tool`
    wiremock mismatches.
    
    ## Docs
    
    `developers.openai.com/codex` should document the requirements-side
    `[features]` table for enterprise and MDM-managed configuration,
    including that it only accepts canonical feature keys and that
    conflicting config writes are rejected.
  • Add MCP server context to otel tool_result logs (#12267)
    Summary
    - capture the origin for each configured MCP server and expose it via
    the connection manager
    - plumb MCP server name/origin into tool logging and emit
    codex.tool_result events with those fields
    - add unit coverage for origin parsing and extend OTEL tests to assert
    empty MCP fields for non-MCP tools
    - currently not logging full urls or url paths to prevent logging
    potentially sensitive data
    
    Testing
    - Not run (not requested)
  • feat(core): plumb distinct approval ids for command approvals (#12051)
    zsh fork PR stack:
    - https://github.com/openai/codex/pull/12051 👈 
    - https://github.com/openai/codex/pull/12052
    
    With upcoming support for a fork of zsh that allows us to intercept
    `execve` and run execpolicy checks for each subcommand as part of a
    `CommandExecution`, it will be possible for there to be multiple
    approval requests for a shell command like `/path/to/zsh -lc 'git status
    && rg \"TODO\" src && make test'`.
    
    To support that, this PR introduces a new `approval_id` field across
    core, protocol, and app-server so that we can associate approvals
    properly for subcommands.
  • feat: introduce Permissions (#11633)
    ## Why
    We currently carry multiple permission-related concepts directly on
    `Config` for shell/unified-exec behavior (`approval_policy`,
    `sandbox_policy`, `network`, `shell_environment_policy`,
    `windows_sandbox_mode`).
    
    Consolidating these into one in-memory struct makes permission handling
    easier to reason about and sets up the next step: supporting named
    permission profiles (`[permissions.PROFILE_NAME]`) without changing
    behavior now.
    
    This change is mostly mechanical: it updates existing callsites to go
    through `config.permissions`, but it does not yet refactor those
    callsites to take a single `Permissions` value in places where multiple
    permission fields are still threaded separately.
    
    This PR intentionally **does not** change the on-disk `config.toml`
    format yet and keeps compatibility with legacy config keys.
    
    ## What Changed
    - Introduced `Permissions` in `core/src/config/mod.rs`.
    - Added `Config::permissions` and moved effective runtime permission
    fields under it:
      - `approval_policy`
      - `sandbox_policy`
      - `network`
      - `shell_environment_policy`
      - `windows_sandbox_mode`
    - Updated config loading/building so these effective values are still
    derived from the same existing config inputs and constraints.
    - Updated Windows sandbox helpers/resolution to read/write via
    `permissions`.
    - Threaded the new field through all permission consumers across core
    runtime, app-server, CLI/exec, TUI, and sandbox summary code.
    - Updated affected tests to reference `config.permissions.*`.
    - Renamed the struct/field from
    `EffectivePermissions`/`effective_permissions` to
    `Permissions`/`permissions` and aligned variable naming accordingly.
    
    ## Verification
    - `just fix -p codex-core -p codex-tui -p codex-cli -p codex-app-server
    -p codex-exec -p codex-utils-sandbox-summary`
    - `cargo build -p codex-core -p codex-tui -p codex-cli -p
    codex-app-server -p codex-exec -p codex-utils-sandbox-summary`
  • Fix: update parallel tool call exec approval to approve on request id (#11162)
    ### Summary
    
    In parallel tool call, exec command approvals were not approved at
    request level but at a turn level. i.e. when a single request is
    approved, the system currently treats all requests in turn as approved.
    
    ### Before
    
    https://github.com/user-attachments/assets/d50ed129-b3d2-4b2f-97fa-8601eb11f6a8
    
    ### After
    
    https://github.com/user-attachments/assets/36528a43-a4aa-4775-9e12-f13287ef19fc
  • Add text element metadata to types (#9235)
    Initial type tweaking PR to make the diff of
    https://github.com/openai/codex/pull/9116 smaller
    
    This should not change any behavior, just adds some fields to types
  • feat: expose outputSchema to user_turn/turn_start app_server API (#8377)
    What changed
    - Added `outputSchema` support to the app-server APIs, mirroring `codex
    exec --output-schema` behavior.
    - V1 `sendUserTurn` now accepts `outputSchema` and constrains the final
    assistant message for that turn.
    - V2 `turn/start` now accepts `outputSchema` and constrains the final
    assistant message for that turn (explicitly per-turn only).
    
    Core behavior
    - `Op::UserTurn` already supported `final_output_json_schema`; now V1
    `sendUserTurn` forwards `outputSchema` into that field.
    - `Op::UserInput` now carries `final_output_json_schema` for per-turn
    settings updates; core maps it into
    `SessionSettingsUpdate.final_output_json_schema` so it applies to the
    created turn context.
    - V2 `turn/start` does NOT persist the schema via `OverrideTurnContext`
    (it’s applied only for the current turn). Other overrides
    (cwd/model/etc) keep their existing persistent behavior.
    
    API / docs
    - `codex-rs/app-server-protocol/src/protocol/v1.rs`: add `output_schema:
    Option<serde_json::Value>` to `SendUserTurnParams` (serialized as
    `outputSchema`).
    - `codex-rs/app-server-protocol/src/protocol/v2.rs`: add `output_schema:
    Option<JsonValue>` to `TurnStartParams` (serialized as `outputSchema`).
    - `codex-rs/app-server/README.md`: document `outputSchema` for
    `turn/start` and clarify it applies only to the current turn.
    - `codex-rs/docs/codex_mcp_interface.md`: document `outputSchema` for v1
    `sendUserTurn` and v2 `turn/start`.
    
    Tests added/updated
    - New app-server integration tests asserting `outputSchema` is forwarded
    into outbound `/responses` requests as `text.format`:
      - `codex-rs/app-server/tests/suite/output_schema.rs`
      - `codex-rs/app-server/tests/suite/v2/output_schema.rs`
    - Added per-turn semantics tests (schema does not leak to the next
    turn):
      - `send_user_turn_output_schema_is_per_turn_v1`
      - `turn_start_output_schema_is_per_turn_v2`
    - Added protocol wire-compat tests for the merged op:
      - serialize omits `final_output_json_schema` when `None`
      - deserialize works when field is missing
      - serialize includes `final_output_json_schema` when `Some(schema)`
    
    Call site updates (high level)
    - Updated all `Op::UserInput { .. }` constructions to include
    `final_output_json_schema`:
      - `codex-rs/app-server/src/codex_message_processor.rs`
      - `codex-rs/core/src/codex_delegate.rs`
      - `codex-rs/mcp-server/src/codex_tool_runner.rs`
      - `codex-rs/tui/src/chatwidget.rs`
      - `codex-rs/tui2/src/chatwidget.rs`
      - plus impacted core tests.
    
    Validation
    - `just fmt`
    - `cargo test -p codex-core`
    - `cargo test -p codex-app-server`
    - `cargo test -p codex-mcp-server`
    - `cargo test -p codex-tui`
    - `cargo test -p codex-tui2`
    - `cargo test -p codex-protocol`
    - `cargo clippy --all-features --tests --profile dev --fix -- -D
    warnings`
  • feat: support allowed_sandbox_modes in requirements.toml (#8298)
    This adds support for `allowed_sandbox_modes` in `requirements.toml` and
    provides legacy support for constraining sandbox modes in
    `managed_config.toml`. This is converted to `Constrained<SandboxPolicy>`
    in `ConfigRequirements` and applied to `Config` such that constraints
    are enforced throughout the harness.
    
    Note that, because `managed_config.toml` is deprecated, we do not add
    support for the new `external-sandbox` variant recently introduced in
    https://github.com/openai/codex/pull/8290. As noted, that variant is not
    supported in `config.toml` today, but can be configured programmatically
    via app server.
  • feat: Constrain values for approval_policy (#7778)
    Constrain `approval_policy` through new `admin_policy` config.
    
    This PR will:
    1. Add a `admin_policy` section to config, with a single field (for now)
    `allowed_approval_policies`. This list constrains the set of
    user-settable `approval_policy`s.
    2. Introduce a new `Constrained<T>` type, which combines a current value
    and a validator function. The validator function ensures disallowed
    values are not set.
    3. Change the type of `approval_policy` on `Config` and
    `SessionConfiguration` from `AskForApproval` to
    `Constrained<AskForApproval>`. The validator function is set by the
    values passed into `allowed_approval_policies`.
    4. `GenericDisplayRow`: add a `disabled_reason: Option<String>`. When
    set, it disables selection of the value and indicates as such in the
    menu. This also makes it unselectable with arrow keys or numbers. This
    is used in the `/approvals` menu.
    
    Follow ups are:
    1. Do the same thing to `sandbox_policy`.
    2. Propagate the allowed set of values through app-server for the
    extension (though already this should prevent app-server from setting
    this values, it's just that we want to disable UI elements that are
    unsettable).
    
    Happy to split this PR up if you prefer, into the logical numbered areas
    above. Especially if there are parts we want to gavel on separately
    (e.g. admin_policy).
    
    Disabled full access:
    <img width="1680" height="380" alt="image"
    src="https://github.com/user-attachments/assets/1fb61c8c-1fcb-4dc4-8355-2293edb52ba0"
    />
    
    Disabled `--yolo` on startup:
    <img width="749" height="76" alt="image"
    src="https://github.com/user-attachments/assets/0a1211a0-6eb1-40d6-a1d7-439c41e94ddb"
    />
    
    CODEX-4087
  • nit: trace span for regular task (#8053)
    Logs are too spammy
    
    ---------
    
    Co-authored-by: Anton Panasenko <apanasenko@openai.com>
  • Fix otel tests (#6541)
    Mount responses only once, remove unneeded retries and add a final
    assistant messages to complete the turn.
  • Enable ghost_commit feature by default (#6041)
    ## Summary
    - enable the ghost_commit feature flag by default
    
    ## Testing
    - just fmt
    
    ------
    https://chatgpt.com/codex/tasks/task_i_6904ce2d0370832dbb3c2c09a90fb188
  • Add ItemStarted/ItemCompleted events for UserInputItem (#5306)
    Adds a new ItemStarted event and delivers UserMessage as the first item
    type (more to come).
    
    
    Renames `InputItem` to `UserInput` considering we're using the `Item`
    suffix for actual items.
  • chore: rework tools execution workflow (#5278)
    Re-work the tool execution flow. Read `orchestrator.rs` to understand
    the structure
  • OpenTelemetry events (#2103)
    ### Title
    
    ## otel
    
    Codex can emit [OpenTelemetry](https://opentelemetry.io/) **log events**
    that
    describe each run: outbound API requests, streamed responses, user
    input,
    tool-approval decisions, and the result of every tool invocation. Export
    is
    **disabled by default** so local runs remain self-contained. Opt in by
    adding an
    `[otel]` table and choosing an exporter.
    
    ```toml
    [otel]
    environment = "staging"   # defaults to "dev"
    exporter = "none"          # defaults to "none"; set to otlp-http or otlp-grpc to send events
    log_user_prompt = false    # defaults to false; redact prompt text unless explicitly enabled
    ```
    
    Codex tags every exported event with `service.name = "codex-cli"`, the
    CLI
    version, and an `env` attribute so downstream collectors can distinguish
    dev/staging/prod traffic. Only telemetry produced inside the
    `codex_otel`
    crate—the events listed below—is forwarded to the exporter.
    
    ### Event catalog
    
    Every event shares a common set of metadata fields: `event.timestamp`,
    `conversation.id`, `app.version`, `auth_mode` (when available),
    `user.account_id` (when available), `terminal.type`, `model`, and
    `slug`.
    
    With OTEL enabled Codex emits the following event types (in addition to
    the
    metadata above):
    
    - `codex.api_request`
      - `cf_ray` (optional)
      - `attempt`
      - `duration_ms`
      - `http.response.status_code` (optional)
      - `error.message` (failures)
    - `codex.sse_event`
      - `event.kind`
      - `duration_ms`
      - `error.message` (failures)
      - `input_token_count` (completion only)
      - `output_token_count` (completion only)
      - `cached_token_count` (completion only, optional)
      - `reasoning_token_count` (completion only, optional)
      - `tool_token_count` (completion only)
    - `codex.user_prompt`
      - `prompt_length`
      - `prompt` (redacted unless `log_user_prompt = true`)
    - `codex.tool_decision`
      - `tool_name`
      - `call_id`
    - `decision` (`approved`, `approved_for_session`, `denied`, or `abort`)
      - `source` (`config` or `user`)
    - `codex.tool_result`
      - `tool_name`
      - `call_id`
      - `arguments`
      - `duration_ms` (execution time for the tool)
      - `success` (`"true"` or `"false"`)
      - `output`
    
    ### Choosing an exporter
    
    Set `otel.exporter` to control where events go:
    
    - `none` – leaves instrumentation active but skips exporting. This is
    the
      default.
    - `otlp-http` – posts OTLP log records to an OTLP/HTTP collector.
    Specify the
      endpoint, protocol, and headers your collector expects:
    
      ```toml
      [otel]
      exporter = { otlp-http = {
        endpoint = "https://otel.example.com/v1/logs",
        protocol = "binary",
        headers = { "x-otlp-api-key" = "${OTLP_TOKEN}" }
      }}
      ```
    
    - `otlp-grpc` – streams OTLP log records over gRPC. Provide the endpoint
    and any
      metadata headers:
    
      ```toml
      [otel]
      exporter = { otlp-grpc = {
        endpoint = "https://otel.example.com:4317",
        headers = { "x-otlp-meta" = "abc123" }
      }}
      ```
    
    If the exporter is `none` nothing is written anywhere; otherwise you
    must run or point to your
    own collector. All exporters run on a background batch worker that is
    flushed on
    shutdown.
    
    If you build Codex from source the OTEL crate is still behind an `otel`
    feature
    flag; the official prebuilt binaries ship with the feature enabled. When
    the
    feature is disabled the telemetry hooks become no-ops so the CLI
    continues to
    function without the extra dependencies.
    
    ---------
    
    Co-authored-by: Anton Panasenko <apanasenko@openai.com>