Commit Graph

825 Commits

  • Responses: set x-client-request-id as convesration_id when talking to responses (#14312)
    Right now we're sending the header session_id to responses which is
    ignored/dropped. This sets a useful x-client-request-id to the
    conversation_id.
  • Split spawn_csv from multi_agent (#14282)
    - make `spawn_csv` a standalone feature for CSV agent jobs
    - keep `spawn_csv -> multi_agent` one-way and preserve restricted
    subagent disable paths
  • Add realtime start instructions config override (#14270)
    - add `realtime_start_instructions` config support
    - thread it into realtime context updates, schema, docs, and tests
  • Stabilize websocket response.failed error delivery (#14017)
    ## What changed
    - Drop failed websocket connections immediately after a terminal stream
    error instead of awaiting a graceful close handshake before forwarding
    the error to the caller.
    - Keep the success path and the closed-connection guard behavior
    unchanged.
    
    ## Why this fixes the flake
    - The failing integration test waits for the second websocket stream to
    surface the model error before issuing a follow-up request.
    - On slower runners, the old error path awaited
    `ws_stream.close().await` before sending the error downstream. If that
    close handshake stalled, the test kept waiting for an error that had
    already happened server-side and nextest timed it out.
    - Dropping the failed websocket immediately makes the terminal error
    observable right away and marks the session closed so the next request
    reconnects cleanly instead of depending on a best-effort close
    handshake.
    
    ## Code or test?
    - This is a production logic fix in `codex-api`. The existing websocket
    integration test already exercises the regression path.
  • Rename code mode tool to exec (#14254)
    Summary
    - update the code-mode handler, runner, instructions, and error text to
    refer to the `exec` tool name everywhere that used to say `code_mode`
    - ensure generated documentation strings and tool specs describe `exec`
    and rely on the shared `PUBLIC_TOOL_NAME`
    - refresh the suite tests so they invoke `exec` instead of the old name
    
    Testing
    - Not run (not requested)
  • chore: add a separate reject-policy flag for skill approvals (#14271)
    ## Summary
    - add `skill_approval` to `RejectConfig` and the app-server v2
    `AskForApproval::Reject` payload so skill-script prompts can be
    configured independently from sandbox and rule-based prompts
    - update Unix shell escalation to reject prompts based on the actual
    decision source, keeping prefix rules tied to `rules`, unmatched command
    fallbacks tied to `sandbox_approval`, and skill scripts tied to
    `skill_approval`
    - regenerate the affected protocol/config schemas and expand
    unit/integration coverage for the new flag and skill approval behavior
  • Add store/load support for code mode (#14259)
    adds support for transferring state across code mode invocations.
  • Pass more params to compaction (#14247)
    Pass more params to /compact. This should give us parity with the
    /responses endpoint to improve caching.
    
    I'm torn about the MCP await. Blocking will give us parity but it seems
    like we explicitly don't block on MCPs. Happy either way
  • Add code_mode output helpers for text and images (#14244)
    Summary
    - document how code-mode can import `output_text`/`output_image` and
    ensure `add_content` stays compatible
    - add a synthetic `@openai/code_mode` module that appends content items
    and validates inputs
    - cover the new behavior with integration tests for structured text and
    image outputs
    
    Testing
    - Not run (not requested)
  • Add model-controlled truncation for code mode results (#14258)
    Summary
    - document that `@openai/code_mode` exposes
    `set_max_output_tokens_per_exec_call` and that `code_mode` truncates the
    final Rust-side output when the budget is exceeded
    - enforce the configured budget in the Rust tool runner, reusing
    truncation helpers so text-only outputs follow the unified-exec wrapper
    and mixed outputs still fit within the limit
    - ensure the new behavior is covered by a code-mode integration test and
    string spec update
    
    Testing
    - Not run (not requested)
  • Add output schema to MCP tools and expose MCP tool results in code mode (#14236)
    Summary
    - drop `McpToolOutput` in favor of `CallToolResult`, moving its helpers
    to keep MCP tooling focused on the final result shape
    - wire the new schema definitions through code mode, context, handlers,
    and spec modules so MCP tools serialize the exact output shape expected
    by the model
    - extend code mode tests to cover multiple MCP call scenarios and ensure
    the serialized data matches the new schema
    - refresh JS runner helpers and protocol models alongside the schema
    changes
    
    Testing
    - Not run (not requested)
  • unifying all image saves to /tmp to bug-proof (#14149)
    image-gen feature will have the model saving to /tmp by default + at all
    times
  • Add spawn_agent model overrides (#14160)
    - add `model` and `reasoning_effort` to the `spawn_agent` schema so the
    values pass through
    - validate requested models against `model.model` and only check that
    the selected model supports the requested reasoning effort
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • Expose strongly-typed result for exec_command (#14183)
    Summary
    - document output types for the various tool handlers and registry so
    the API exposes richer descriptions
    - update unified execution helpers and client tests to align with the
    new output metadata
    - clean up unused helpers across tool dispatch paths
    
    Testing
    - Not run (not requested)
  • Fix release-mode integration test compiler failure (#13603)
    Addresses #13586
    
    This doesn't affect our CI scripts. It was user-reported.
    
    Summary
    - add `wiremock::ResponseTemplate` and `body_string_contains` imports
    behind `#[cfg(not(debug_assertions))]` in
    `codex-rs/core/tests/suite/view_image.rs` so release builds only pull
    the helpers they actually use
  • Stabilize incomplete SSE retry test (#13879)
    ## What changed
    - The retry test now uses the same streaming SSE test server used by
    production-style tests instead of a wiremock sequence.
    - The fixture is resolved via `find_resource!`, and the test asserts
    that exactly two outbound requests were sent.
    
    ## Why this fixes the flake
    - The old wiremock sequence approximated early-close behavior, but it
    did not reproduce the same streaming semantics the real client sees.
    - That meant the retry path depended on mock implementation details
    instead of on the actual transport behavior we care about.
    - Switching to the streaming SSE helper makes the test exercise the real
    early-close/retry contract, and counting requests directly verifies that
    we retried exactly once rather than merely hoping the sequence aligned.
    
    ## Scope
    - Test-only change.
  • Use realtime transcript for handoff context (#14132)
    - collect input/output transcript deltas into active handoff transcript
    state
    - attach and clear that transcript on each handoff, and regenerate
    schema/tests
  • [apps] Fix apps enablement condition. (#14011)
    - [x] Fix apps enablement condition to check both the feature flag and
    that the user is not an API key user.
  • feat: support disabling bundled system skills (#13792)
    Support disable bundled system skills with a config:
    
    [skills.bundled]
    enabled = false
  • Export tools module into code mode runner (#14167)
    **Summary**
    - allow `code_mode` to pass enabled tools metadata to the runner and
    expose them via `tools.js`
    - import tools inside JavaScript rather than relying only on globals or
    proxies for nested tool calls
    - update specs, docs, and tests to exercise the new bridge and explain
    the tooling changes
    
    **Testing**
    - Not run (not requested)
  • Enforce single tool output type in codex handlers (#14157)
    We'll need to associate output schema with each tool. Each tool can only
    have on output type.
  • Add code_mode experimental feature (#13418)
    A much narrower and more isolated (no node features) version of js_repl
  • feat(approvals) RejectConfig for request_permissions (#14118)
    ## Summary
    We need to support allowing request_permissions calls when using
    `Reject` policy
    
    <img width="1133" height="588" alt="Screenshot 2026-03-09 at 12 06
    40 PM"
    src="https://github.com/user-attachments/assets/a8df987f-c225-4866-b8ab-5590960daec5"
    />
    
    Note that this is a backwards-incompatible change for Reject policy. I'm
    not sure if we need to add a default based on our current use/setup
    
    ## Testing
    - [x] Added tests
    - [x] Tested locally
  • fix(core) RequestPermissions + ApplyPatch (#14055)
    ## Summary
    The apply_patch tool should also respect AdditionalPermissions
    
    ## Testing
    - [x] Added unit tests
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • feat(core) Persist request_permission data across turns (#14009)
    ## Summary
    request_permissions flows should support persisting results for the
    session.
    
    Open Question: Still deciding if we need within-turn approvals - this
    adds complexity but I could see it being useful
    
    ## Testing
    - [x] Updated unit tests
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • Stabilize RMCP streamable HTTP readiness tests (#13880)
    ## What changed
    - The RMCP streamable HTTP tests now wait for metadata and tool
    readiness before issuing tool calls.
    - OAuth state is isolated per test home.
    - The helper server startup path now uses bounded bind retries so
    transient `AddrInUse` collisions do not fail the test immediately.
    
    ## Why this fixes the flake
    - The old tests could begin issuing tool requests before the helper
    server had finished advertising its metadata and tools, so the first
    request sometimes raced the server startup sequence.
    - On top of that, shared OAuth state and occasional bind collisions on
    CI runners introduced cross-test environmental noise unrelated to the
    functionality under test.
    - Readiness polling makes the client wait for an observable “server is
    ready” signal, while isolated state and bounded bind retries remove
    external contention that was causing intermittent failures.
    
    ## Scope
    - Test-only change.
  • fix(ci) Faster shell_command::unicode_output test (#14114)
    ## Summary
    Alternative to #14061 - we need to use a child process on windows to
    correctly validate Powershell behavior.
    
    ## Testing
    - [x] These are tests
  • Stabilize resumed rollout messages (#14060)
    ## What changed
    - add a bounded `resume_until_initial_messages` helper in
    `core/tests/suite/resume.rs`
    - retry the resume call until `initial_messages` contains the fully
    persisted final turn shape before asserting
    
    ## Why this fixes flakiness
    The old test resumed once immediately after `TurnComplete` and sometimes
    read rollout state before the final turn had been persisted. That made
    the assertion race persistence timing instead of checking the resumed
    message shape. The new helper polls for up to two seconds in 10ms steps
    and only asserts once the expected message sequence is actually present,
    so the test waits for the real readiness condition instead of depending
    on a lucky timing window.
    
    ## Scope
    - test-only
    - no production logic change
  • Stabilize realtime startup context tests (#13876)
    ## What changed
    - The realtime startup-context tests no longer assume the interesting
    websocket payload is always `connection 1 / request 0`.
    - Instead, they now wait for the first outbound websocket request that
    actually carries `session.instructions`, regardless of which websocket
    connection won the accept-order race on the runner.
    - The env-key fallback test stays serialized because it mutates process
    environment.
    
    ## Why this fixes the flake
    - The old test synchronized on the mirrored `session.updated` client
    event and then inspected a fixed websocket slot.
    - On CI, the response websocket and the realtime websocket can race each
    other during startup. When the response websocket wins that race, the
    fixed slot can contain `response.create` instead of the
    startup-context-bearing `session.update` request the test actually cares
    about.
    - That made the test fail nondeterministically by inspecting the wrong
    request, or by timing out waiting on a secondary event even though the
    real outbound request path was correct.
    - Waiting directly on the first request whose payload includes
    `session.instructions` removes both ordering assumptions and makes the
    assertion line up with the actual contract under test.
    - Separately, serializing the environment-mutating fallback case
    prevents unrelated tests from seeing partially updated auth state.
    
    ## Scope
    - Test-only change.
  • guardian initial feedback / tweaks (#13897)
    ## Summary
    - remove the remaining model-visible guardian-specific `on-request`
    prompt additions so enabling the feature does not change the main
    approval-policy instructions
    - neutralize user-facing guardian wording to talk about automatic
    approval review / approval requests rather than a second reviewer or
    only sandbox escalations
    - tighten guardian retry-context handling so agent-authored
    `justification` stays in the structured action JSON and is not also
    injected as raw retry context
    - simplify guardian review plumbing in core by deleting dead
    prompt-append paths and trimming some request/transcript setup code
    
    ## Notable Changes
    - delete the dead `permissions/approval_policy/guardian.md` append path
    and stop threading `guardian_approval_enabled` through model-facing
    developer-instruction builders
    - rename the experimental feature copy to `Automatic approval review`
    and update the `/experimental` snapshot text accordingly
    - make approval-review status strings generic across shell, patch,
    network, and MCP review types
    - forward real sandbox/network retry reasons for shell and unified-exec
    guardian review, but do not pass agent-authored justification as raw
    retry context
    - simplify `guardian.rs` by removing the one-field request wrapper,
    deduping reasoning-effort selection, and cleaning up transcript entry
    collection
    
    ## Testing
    - `just fmt`
    - full validation left to CI
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • Add request permissions tool (#13092)
    Adds a built-in `request_permissions` tool and wires it through the
    Codex core, protocol, and app-server layers so a running turn can ask
    the client for additional permissions instead of relying on a static
    session policy.
    
    The new flow emits a `RequestPermissions` event from core, tracks the
    pending request by call ID, forwards it through app-server v2 as an
    `item/permissions/requestApproval` request, and resumes the tool call
    once the client returns an approved subset of the requested permission
    profile.
  • 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
  • app-server: include experimental skill metadata in exec approval requests (#13929)
    ## Summary
    
    This change surfaces skill metadata on command approval requests so
    app-server clients can tell when an approval came from a skill script
    and identify the originating `SKILL.md`.
    
    - add `skill_metadata` to exec approval events in the shared protocol
    - thread skill metadata through core shell escalation and delegated
    approval handling for skill-triggered approvals
    - expose the field in app-server v2 as experimental `skillMetadata`
    - regenerate the JSON/TypeScript schemas and cover the new field in
    protocol, transport, core, and TUI tests
    
    ## Why
    
    Skill-triggered approvals already carry skill context inside core, but
    app-server clients could not see which skill caused the prompt. Sending
    the skill metadata with the approval request makes it possible for
    clients to present better approval UX and connect the prompt back to the
    relevant skill definition.
    
    
    ## example event in app-server-v2
    verified that we see this event when experimental api is on:
    ```
    < {
    <   "id": 11,
    <   "method": "item/commandExecution/requestApproval",
    <   "params": {
    <     "additionalPermissions": {
    <       "fileSystem": null,
    <       "macos": {
    <         "accessibility": false,
    <         "automations": {
    <           "bundle_ids": [
    <             "com.apple.Notes"
    <           ]
    <         },
    <         "calendar": false,
    <         "preferences": "read_only"
    <       },
    <       "network": null
    <     },
    <     "approvalId": "25d600ee-5a3c-4746-8d17-e2e61fb4c563",
    <     "availableDecisions": [
    <       "accept",
    <       "acceptForSession",
    <       "cancel"
    <     ],
    <     "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <     "commandActions": [
    <       {
    <         "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <         "type": "unknown"
    <       }
    <     ],
    <     "cwd": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes",
    <     "itemId": "call_jZp3xFpNg4D8iKAD49cvEvZy",
    <     "skillMetadata": {
    <       "pathToSkillsMd": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/SKILL.md"
    <     },
    <     "threadId": "019ccc10-b7d3-7ff2-84fe-3a75e7681e69",
    <     "turnId": "019ccc10-b848-76f1-81b3-4a1fa225493f"
    <   }
    < }`
    ```
    
    & verified that this is the event when experimental api is off:
    ```
    < {
    <   "id": 13,
    <   "method": "item/commandExecution/requestApproval",
    <   "params": {
    <     "approvalId": "5fbbf776-261b-4cf8-899b-c125b547f2c0",
    <     "availableDecisions": [
    <       "accept",
    <       "acceptForSession",
    <       "cancel"
    <     ],
    <     "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <     "commandActions": [
    <       {
    <         "command": "/Applications/ChatGPT.app/Contents/Resources/CodexAppServer_CodexAppServerBundledSkills.bundle/Contents/Resources/skills/apple-notes/scripts/notes_info",
    <         "type": "unknown"
    <       }
    <     ],
    <     "cwd": "/Users/celia/code/codex/codex-rs",
    <     "itemId": "call_OV2DHzTgYcbYtWaTTBWlocOt",
    <     "threadId": "019ccc16-2a2b-7be1-8500-e00d45b892d4",
    <     "turnId": "019ccc16-2a8e-7961-98ec-649600e7d06a"
    <   }
    < }
    ```
  • Stabilize shell serialization tests (#13877)
    ## What changed
    - The duration-recording fixture sleep was reduced from a large
    artificial delay to `0.2s`, and the assertion floor was lowered to
    `0.1s`.
    - The shell tool fixtures now force `login = false` so they do not
    invoke login-shell startup paths.
    
    ## Why this fixes the flake
    - The old tests were paying for two kinds of noise that had nothing to
    do with the feature being validated: oversized sleep time and variable
    shell initialization cost.
    - Login shells can pick up runner-specific startup files and incur
    inconsistent startup latency.
    - The test only needs to prove that we record a nontrivial duration and
    preserve shell output. A shorter fixture delay plus a non-login shell
    keeps that coverage while removing runner-dependent wall-clock variance.
    
    ## Scope
    - Test-only change.
  • seatbelt: honor split filesystem sandbox policies (#13448)
    ## Why
    
    After `#13440` and `#13445`, macOS Seatbelt policy generation was still
    deriving filesystem and network behavior from the legacy `SandboxPolicy`
    projection.
    
    That projection loses explicit unreadable carveouts and conflates split
    network decisions, so the generated Seatbelt policy could still be wider
    than the split policy that Codex had already computed.
    
    ## What changed
    
    - added Seatbelt entrypoints that accept `FileSystemSandboxPolicy` and
    `NetworkSandboxPolicy` directly
    - built read and write policy stanzas from access roots plus excluded
    subpaths so explicit unreadable carveouts survive into the generated
    Seatbelt policy
    - switched network policy generation to consult `NetworkSandboxPolicy`
    directly
    - failed closed when managed-network or proxy-constrained sessions do
    not yield usable loopback proxy endpoints
    - updated the macOS callers and test helpers that now need to carry the
    split policies explicitly
    
    ## Verification
    
    - added regression coverage in `core/src/seatbelt.rs` for unreadable
    carveouts under both full-disk and scoped-readable policies
    - verified the current PR state with `just clippy`
    
    
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/13448).
    * #13453
    * #13452
    * #13451
    * #13449
    * __->__ #13448
    * #13445
    * #13440
    * #13439
    
    ---------
    
    Co-authored-by: viyatb-oai <viyatb@openai.com>
  • fix(ci) fix guardian ci (#13911)
    ## Summary
    #13910 was merged with some unused imports, let's fix this
    
    ## Testing
    - [x] Let's make sure CI is green
    
    ---------
    
    Co-authored-by: Charles Cunningham <ccunningham@openai.com>
    Co-authored-by: Codex <noreply@openai.com>
  • Add guardian approval MVP (#13692)
    ## Summary
    - add the guardian reviewer flow for `on-request` approvals in command,
    patch, sandbox-retry, and managed-network approval paths
    - keep guardian behind `features.guardian_approval` instead of exposing
    a public `approval_policy = guardian` mode
    - route ordinary `OnRequest` approvals to the guardian subagent when the
    feature is enabled, without changing the public approval-mode surface
    
    ## Public model
    - public approval modes stay unchanged
    - guardian is enabled via `features.guardian_approval`
    - when that feature is on, `approval_policy = on-request` keeps the same
    approval boundaries but sends those approval requests to the guardian
    reviewer instead of the user
    - `/experimental` only persists the feature flag; it does not rewrite
    `approval_policy`
    - CLI and app-server no longer expose a separate `guardian` approval
    mode in this PR
    
    ## Guardian reviewer
    - the reviewer runs as a normal subagent and reuses the existing
    subagent/thread machinery
    - it is locked to a read-only sandbox and `approval_policy = never`
    - it does not inherit user/project exec-policy rules
    - it prefers `gpt-5.4` when the current provider exposes it, otherwise
    falls back to the parent turn's active model
    - it fail-closes on timeout, startup failure, malformed output, or any
    other review error
    - it currently auto-approves only when `risk_score < 80`
    
    ## Review context and policy
    - guardian mirrors `OnRequest` approval semantics rather than
    introducing a separate approval policy
    - explicit `require_escalated` requests follow the same approval surface
    as `OnRequest`; the difference is only who reviews them
    - managed-network allowlist misses that enter the approval flow are also
    reviewed by guardian
    - the review prompt includes bounded recent transcript history plus
    recent tool call/result evidence
    - transcript entries and planned-action strings are truncated with
    explicit `<guardian_truncated ... />` markers so large payloads stay
    bounded
    - apply-patch reviews include the full patch content (without
    duplicating the structured `changes` payload)
    - the guardian request layout is snapshot-tested using the same
    model-visible Responses request formatter used elsewhere in core
    
    ## Guardian network behavior
    - the guardian subagent inherits the parent session's managed-network
    allowlist when one exists, so it can use the same approved network
    surface while reviewing
    - exact session-scoped network approvals are copied into the guardian
    session with protocol/port scope preserved
    - those copied approvals are now seeded before the guardian's first turn
    is submitted, so inherited approvals are available during any immediate
    review-time checks
    
    ## Out of scope / follow-ups
    - the sandbox-permission validation split was pulled into a separate PR
    and is not part of this diff
    - a future follow-up can enable `serde_json` preserve-order in
    `codex-core` and then simplify the guardian action rendering further
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • fix(core): respect reject policy by approval source for skill scripts (#13816)
    ## Summary
    - distinguish reject-policy handling for prefix-rule approvals versus
    sandbox approvals in Unix shell escalation
    - keep prompting for skill-script execution when `rules=true` but
    `sandbox_approval=false`, instead of denying the command up front
    - add regression coverage for both skill-script reject-policy paths in
    `codex-rs/core/tests/suite/skill_approval.rs`
  • sandboxing: plumb split sandbox policies through runtime (#13439)
    ## Why
    
    `#13434` introduces split `FileSystemSandboxPolicy` and
    `NetworkSandboxPolicy`, but the runtime still made most execution-time
    sandbox decisions from the legacy `SandboxPolicy` projection.
    
    That projection loses information about combinations like unrestricted
    filesystem access with restricted network access. In practice, that
    means the runtime can choose the wrong platform sandbox behavior or set
    the wrong network-restriction environment for a command even when config
    has already separated those concerns.
    
    This PR carries the split policies through the runtime so sandbox
    selection, process spawning, and exec handling can consult the policy
    that actually matters.
    
    ## What changed
    
    - threaded `FileSystemSandboxPolicy` and `NetworkSandboxPolicy` through
    `TurnContext`, `ExecRequest`, sandbox attempts, shell escalation state,
    unified exec, and app-server exec overrides
    - updated sandbox selection in `core/src/sandboxing/mod.rs` and
    `core/src/exec.rs` to key off `FileSystemSandboxPolicy.kind` plus
    `NetworkSandboxPolicy`, rather than inferring behavior only from the
    legacy `SandboxPolicy`
    - updated process spawning in `core/src/spawn.rs` and the platform
    wrappers to use `NetworkSandboxPolicy` when deciding whether to set
    `CODEX_SANDBOX_NETWORK_DISABLED`
    - kept additional-permissions handling and legacy `ExternalSandbox`
    compatibility projections aligned with the split policies, including
    explicit user-shell execution and Windows restricted-token routing
    - updated callers across `core`, `app-server`, and `linux-sandbox` to
    pass the split policies explicitly
    
    ## Verification
    
    - added regression coverage in `core/tests/suite/user_shell_cmd.rs` to
    verify `RunUserShellCommand` does not inherit
    `CODEX_SANDBOX_NETWORK_DISABLED` from the active turn
    - added coverage in `core/src/exec.rs` for Windows restricted-token
    sandbox selection when the legacy projection is `ExternalSandbox`
    - updated Linux sandbox coverage in
    `linux-sandbox/tests/suite/landlock.rs` to exercise the split-policy
    exec path
    - verified the current PR state with `just clippy`
    
    
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/13439).
    * #13453
    * #13452
    * #13451
    * #13449
    * #13448
    * #13445
    * #13440
    * __->__ #13439
    
    ---------
    
    Co-authored-by: viyatb-oai <viyatb@openai.com>
  • Allow full web search tool config (#13675)
    Previously, we could only configure whether web search was on/off.
    
    This PR enables sending along a web search config, which includes all
    the stuff responsesapi supports: filters, location, etc.
  • fix(core): skip exec approval for permissionless skill scripts (#13791)
    ## Summary
    
    - Treat skill scripts with no permission profile, or an explicitly empty
    one, as permissionless and run them with the turn's existing sandbox
    instead of forcing an exec approval prompt.
    - Keep the approval flow unchanged for skills that do declare additional
    permissions.
    - Update the skill approval tests to assert that permissionless skill
    scripts do not prompt on either the initial run or a rerun.
    
    ## Why
    
    Permissionless skills should inherit the current turn sandbox directly.
    Prompting for exec approval in that case adds friction without granting
    any additional capability.
  • 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`
  • Add realtime startup context override (#13796)
    - add experimental_realtime_ws_startup_context to override or disable
    realtime websocket startup context
    - preserve generated startup context when unset and cover the new
    override paths in tests
  • config: add initial support for the new permission profile config language in config.toml (#13434)
    ## Why
    
    `SandboxPolicy` currently mixes together three separate concerns:
    
    - parsing layered config from `config.toml`
    - representing filesystem sandbox state
    - carrying basic network policy alongside filesystem choices
    
    That makes the existing config awkward to extend and blocks the new TOML
    proposal where `[permissions]` becomes a table of named permission
    profiles selected by `default_permissions`. (The idea is that if
    `default_permissions` is not specified, we assume the user is opting
    into the "traditional" way to configure the sandbox.)
    
    This PR adds the config-side plumbing for those profiles while still
    projecting back to the legacy `SandboxPolicy` shape that the current
    macOS and Linux sandbox backends consume.
    
    It also tightens the filesystem profile model so scoped entries only
    exist for `:project_roots`, and so nested keys must stay within a
    project root instead of using `.` or `..` traversal.
    
    This drops support for the short-lived `[permissions.network]` in
    `config.toml` because now that would be interpreted as a profile named
    `network` within `[permissions]`.
    
    ## What Changed
    
    - added `PermissionsToml`, `PermissionProfileToml`,
    `FilesystemPermissionsToml`, and `FilesystemPermissionToml` so config
    can parse named profiles under `[permissions.<profile>.filesystem]`
    - added top-level `default_permissions` selection, validation for
    missing or unknown profiles, and compilation from a named profile into
    split `FileSystemSandboxPolicy` and `NetworkSandboxPolicy` values
    - taught config loading to choose between the legacy `sandbox_mode` path
    and the profile-based path without breaking legacy users
    - introduced `codex-protocol::permissions` for the split filesystem and
    network sandbox types, and stored those alongside the legacy projected
    `sandbox_policy` in runtime `Permissions`
    - modeled `FileSystemSpecialPath` so only `ProjectRoots` can carry a
    nested `subpath`, matching the intended config syntax instead of
    allowing invalid states for other special paths
    - restricted scoped filesystem maps to `:project_roots`, with validation
    that nested entries are non-empty descendant paths and cannot use `.` or
    `..` to escape the project root
    - kept existing runtime consumers working by projecting
    `FileSystemSandboxPolicy` back into `SandboxPolicy`, with an explicit
    error for profiles that request writes outside the workspace root
    - loaded proxy settings from top-level `[network]`
    - regenerated `core/config.schema.json`
    
    ## Verification
    
    - added config coverage for profile deserialization,
    `default_permissions` selection, top-level `[network]` loading, network
    enablement, rejection of writes outside the workspace root, rejection of
    nested entries for non-`:project_roots` special paths, and rejection of
    parent-directory traversal in `:project_roots` maps
    - added protocol coverage for the legacy bridge rejecting non-workspace
    writes
    
    ## Docs
    
    - update the Codex config docs on developers.openai.com/codex to
    document named `[permissions.<profile>]` entries, `default_permissions`,
    scoped `:project_roots` syntax, the descendant-path restriction for
    nested `:project_roots` entries, and top-level `[network]` proxy
    configuration
    
    
    
    
    
    
    ---
    [//]: # (BEGIN SAPLING FOOTER)
    Stack created with [Sapling](https://sapling-scm.com). Best reviewed
    with [ReviewStack](https://reviewstack.dev/openai/codex/pull/13434).
    * #13453
    * #13452
    * #13451
    * #13449
    * #13448
    * #13445
    * #13440
    * #13439
    * __->__ #13434
  • feat: structured plugin parsing (#13711)
    #### What
    
    Add structured `@plugin` parsing and TUI support for plugin mentions.
    
    - Core: switch from plain-text `@display_name` parsing to structured
    `plugin://...` mentions via `UserInput::Mention` and
    `[$...](plugin://...)` links in text, same pattern as apps/skills.
    - TUI: add plugin mention popup, autocomplete, and chips when typing
    `$`. Load plugin capability summaries and feed them into the composer;
    plugin mentions appear alongside skills and apps.
    - Generalize mention parsing to a sigil parameter, still defaults to `$`
    
    <img width="797" height="119" alt="image"
    src="https://github.com/user-attachments/assets/f0fe2658-d908-4927-9139-73f850805ceb"
    />
    
    Builds on #13510. Currently clients have to build their own `id` via
    `plugin@marketplace` and filter plugins to show by `enabled`, but we
    will add `id` and `available` as fields returned from `plugin/list`
    soon.
    
    ####Tests
    
    Added tests, verified locally.
  • Clarify sandbox permission override helper semantics (#13703)
    ## Summary
    Today `SandboxPermissions::requires_additional_permissions()` does not
    actually mean "is `WithAdditionalPermissions`". It returns `true` for
    any non-default sandbox override, including `RequireEscalated`. That
    broad behavior is relied on in multiple `main` callsites.
    
    The naming is security-sensitive because `SandboxPermissions` is used on
    shell-like tool calls to tell the executor how a single command should
    relate to the turn sandbox:
    - `UseDefault`: run with the turn sandbox unchanged
    - `RequireEscalated`: request execution outside the sandbox
    - `WithAdditionalPermissions`: stay sandboxed but widen permissions for
    that command only
    
    ## Problem
    The old helper name reads as if it only applies to the
    `WithAdditionalPermissions` variant. In practice it means "this command
    requested any explicit sandbox override."
    
    That ambiguity made it easy to read production checks incorrectly and
    made the guardian change look like a standalone `main` fix when it is
    not.
    
    On `main` today:
    - `shell` and `unified_exec` intentionally reject any explicit
    `sandbox_permissions` request unless approval policy is `OnRequest`
    - `exec_policy` intentionally treats any explicit sandbox override as
    prompt-worthy in restricted sandboxes
    - tests intentionally serialize both `RequireEscalated` and
    `WithAdditionalPermissions` as explicit sandbox override requests
    
    So changing those callsites from the broad helper to a narrow
    `WithAdditionalPermissions` check would be a behavior change, not a pure
    cleanup.
    
    ## What This PR Does
    - documents `SandboxPermissions` as a per-command sandbox override, not
    a generic permissions bag
    - adds `requests_sandbox_override()` for the broad meaning: anything
    except `UseDefault`
    - adds `uses_additional_permissions()` for the narrow meaning: only
    `WithAdditionalPermissions`
    - keeps `requires_additional_permissions()` as a compatibility alias to
    the broad meaning for now
    - updates the current broad callsites to use the accurately named broad
    helper
    - adds unit coverage that locks in the semantics of all three helpers
    
    ## What This PR Does Not Do
    This PR does not change runtime behavior. That is intentional.
    
    ---------
    
    Co-authored-by: Codex <noreply@openai.com>
  • Enabling CWD Saving for Image-Gen (#13607)
    Codex now saves the generated image on to your current working
    directory.