Commit Graph

23 Commits

  • 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>