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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>
Ahmed Ibrahim ·
2026-03-19 20:12:07 -07:00 -
Move terminal module to terminal-detection crate (#15216)
- Move core/src/terminal.rs and its tests into a standalone terminal-detection workspace crate. - Update direct consumers to depend on codex-terminal-detection and import terminal APIs directly. --------- Co-authored-by: Codex <noreply@openai.com>
Ahmed Ibrahim ·
2026-03-19 14:08:04 -07:00 -
Cleanup skills/remote/xxx endpoints. (#14977)
Remote skills/remote/xxx as they are not in used for now.
xl-openai ·
2026-03-17 15:22:36 -07:00 -
Apply argument comment lint across codex-rs (#14652)
## Why Once the repo-local lint exists, `codex-rs` needs to follow the checked-in convention and CI needs to keep it from drifting. This commit applies the fallback `/*param*/` style consistently across existing positional literal call sites without changing those APIs. The longer-term preference is still to avoid APIs that require comments by choosing clearer parameter types and call shapes. This PR is intentionally the mechanical follow-through for the places where the existing signatures stay in place. After rebasing onto newer `main`, the rollout also had to cover newly introduced `tui_app_server` call sites. That made it clear the first cut of the CI job was too expensive for the common path: it was spending almost as much time installing `cargo-dylint` and re-testing the lint crate as a representative test job spends running product tests. The CI update keeps the full workspace enforcement but trims that extra overhead from ordinary `codex-rs` PRs. ## What changed - keep a dedicated `argument_comment_lint` job in `rust-ci` - mechanically annotate remaining opaque positional literals across `codex-rs` with exact `/*param*/` comments, including the rebased `tui_app_server` call sites that now fall under the lint - keep the checked-in style aligned with the lint policy by using `/*param*/` and leaving string and char literals uncommented - cache `cargo-dylint`, `dylint-link`, and the relevant Cargo registry/git metadata in the lint job - split changed-path detection so the lint crate's own `cargo test` step runs only when `tools/argument-comment-lint/*` or `rust-ci.yml` changes - continue to run the repo wrapper over the `codex-rs` workspace, so product-code enforcement is unchanged Most of the code changes in this commit are intentionally mechanical comment rewrites or insertions driven by the lint itself. ## Verification - `./tools/argument-comment-lint/run.sh --workspace` - `cargo test -p codex-tui-app-server -p codex-tui` - parsed `.github/workflows/rust-ci.yml` locally with PyYAML --- * -> #14652 * #14651
Michael Bolin ·
2026-03-16 16:48:15 -07:00 -
Add Smart Approvals guardian review across core, app-server, and TUI (#13860)
## Summary - add `approvals_reviewer = "user" | "guardian_subagent"` as the runtime control for who reviews approval requests - route Smart Approvals guardian review through core for command execution, file changes, managed-network approvals, MCP approvals, and delegated/subagent approval flows - expose guardian review in app-server with temporary unstable `item/autoApprovalReview/{started,completed}` notifications carrying `targetItemId`, `review`, and `action` - update the TUI so Smart Approvals can be enabled from `/experimental`, aligned with the matching `/approvals` mode, and surfaced clearly while reviews are pending or resolved ## Runtime model This PR does not introduce a new `approval_policy`. Instead: - `approval_policy` still controls when approval is needed - `approvals_reviewer` controls who reviewable approval requests are routed to: - `user` - `guardian_subagent` `guardian_subagent` is a carefully prompted reviewer subagent that gathers relevant context and applies a risk-based decision framework before approving or denying the request. The `smart_approvals` feature flag is a rollout/UI gate. Core runtime behavior keys off `approvals_reviewer`. When Smart Approvals is enabled from the TUI, it also switches the current `/approvals` settings to the matching Smart Approvals mode so users immediately see guardian review in the active thread: - `approval_policy = on-request` - `approvals_reviewer = guardian_subagent` - `sandbox_mode = workspace-write` Users can still change `/approvals` afterward. Config-load behavior stays intentionally narrow: - plain `smart_approvals = true` in `config.toml` remains just the rollout/UI gate and does not auto-set `approvals_reviewer` - the deprecated `guardian_approval = true` alias migration does backfill `approvals_reviewer = "guardian_subagent"` in the same scope when that reviewer is not already configured there, so old configs preserve their original guardian-enabled behavior ARC remains a separate safety check. For MCP tool approvals, ARC escalations now flow into the configured reviewer instead of always bypassing guardian and forcing manual review. ## Config stability The runtime reviewer override is stable, but the config-backed app-server protocol shape is still settling. - `thread/start`, `thread/resume`, and `turn/start` keep stable `approvalsReviewer` overrides - the config-backed `approvals_reviewer` exposure returned via `config/read` (including profile-level config) is now marked `[UNSTABLE]` / experimental in the app-server protocol until we are more confident in that config surface ## App-server surface This PR intentionally keeps the guardian app-server shape narrow and temporary. It adds generic unstable lifecycle notifications: - `item/autoApprovalReview/started` - `item/autoApprovalReview/completed` with payloads of the form: - `{ threadId, turnId, targetItemId, review, action? }` `review` is currently: - `{ status, riskScore?, riskLevel?, rationale? }` - where `status` is one of `inProgress`, `approved`, `denied`, or `aborted` `action` carries the guardian action summary payload from core when available. This lets clients render temporary standalone pending-review UI, including parallel reviews, even when the underlying tool item has not been emitted yet. These notifications are explicitly documented as `[UNSTABLE]` and expected to change soon. This PR does **not** persist guardian review state onto `thread/read` tool items. The intended follow-up is to attach guardian review state to the reviewed tool item lifecycle instead, which would improve consistency with manual approvals and allow thread history / reconnect flows to replay guardian review state directly. ## TUI behavior - `/experimental` exposes the rollout gate as `Smart Approvals` - enabling it in the TUI enables the feature and switches the current session to the matching Smart Approvals `/approvals` mode - disabling it in the TUI clears the persisted `approvals_reviewer` override when appropriate and returns the session to default manual review when the effective reviewer changes - `/approvals` still exposes the reviewer choice directly - the TUI renders: - pending guardian review state in the live status footer, including parallel review aggregation - resolved approval/denial state in history ## Scope notes This PR includes the supporting core/runtime work needed to make Smart Approvals usable end-to-end: - shell / unified-exec / apply_patch / managed-network / MCP guardian review - delegated/subagent approval routing into guardian review - guardian review risk metadata and action summaries for app-server/TUI - config/profile/TUI handling for `smart_approvals`, `guardian_approval` alias migration, and `approvals_reviewer` - a small internal cleanup of delegated approval forwarding to dedupe fallback paths and simplify guardian-vs-parent approval waiting (no intended behavior change) Out of scope for this PR: - redesigning the existing manual approval protocol shapes - persisting guardian review state onto app-server `ThreadItem`s - delegated MCP elicitation auto-review (the current delegated MCP guardian shim only covers the legacy `RequestUserInput` path) --------- Co-authored-by: Codex <noreply@openai.com>Charley Cunningham ·
2026-03-13 15:27:00 -07:00 -
feat: support disabling bundled system skills (#13792)
Support disable bundled system skills with a config: [skills.bundled] enabled = false
xl-openai ·
2026-03-09 22:02:53 -07:00 -
start of hooks engine (#13276)
(Experimental) This PR adds a first MVP for hooks, with SessionStart and Stop The core design is: - hooks live in a dedicated engine under codex-rs/hooks - each hook type has its own event-specific file - hook execution is synchronous and blocks normal turn progression while running - matching hooks run in parallel, then their results are aggregated into a normalized HookRunSummary On the AppServer side, hooks are exposed as operational metadata rather than transcript-native items: - new live notifications: hook/started, hook/completed - persisted/replayed hook results live on Turn.hookRuns - we intentionally did not add hook-specific ThreadItem variants Hooks messages are not persisted, they remain ephemeral. The context changes they add are (they get appended to the user's prompt)
Andrei Eternal ·
2026-03-10 04:11:31 +00:00 -
Stabilize shell approval MCP test (#14101)
## Summary - replace the Python-based file creation command in the MCP shell approval test with native platform commands - build the expected command string from the exact argv that the test sends ## Why this fixes the flake The old test depended on Python startup and shell quoting details that varied across runners. The new version still verifies the same approval flow, but it uses `touch` on Unix and `New-Item` on Windows so the assertion only depends on the MCP shell command that Codex actually forwards.
Ahmed Ibrahim ·
2026-03-09 11:18:26 -07:00 -
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.
Jack Mousseau ·
2026-03-08 20:23:06 -07:00 -
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" < } < } ```Celia Chen ·
2026-03-08 18:07:46 -07:00 -
image-gen-event/client_processing (#13512)
enabling client-side to process with image-generation capabilities (setting app-server)
Won Park ·
2026-03-04 16:54:38 -08:00 -
[bazel] Bump rules_rs and llvm (#13366)
# External (non-OpenAI) Pull Request Requirements Before opening this Pull Request, please read the dedicated "Contributing" markdown file or your PR may be closed: https://github.com/openai/codex/blob/main/docs/contributing.md If your PR conforms to our contribution guidelines, replace this text with a detailed and high quality description of your changes. Include a link to a bug report or enhancement request.
zbarsky-openai ·
2026-03-04 01:59:32 +00:00 -
feat(app-server): propagate app-server trace context into core (#13368)
### Summary Propagate trace context originating at app-server RPC method handlers -> codex core submission loop (so this includes spans such as `run_turn`!). This implements PR 2 of the app-server tracing rollout. This also removes the old lower-level env-based reparenting in core so explicit request/submission ancestry wins instead of being overridden by ambient `TRACEPARENT` state. ### What changed - Added `trace: Option<W3cTraceContext>` to codex_protocol::Submission - Taught `Codex::submit()` / `submit_with_id()` to automatically capture the current span context when constructing or forwarding a submission - Wrapped the core submission loop in a submission_dispatch span parented from Submission.trace - Warn on invalid submission trace carriers and ignore them cleanly - Removed the old env-based downstream reparenting path in core task execution - Stopped OTEL provider init from implicitly attaching env trace context process-wide - Updated mcp-server Submission call sites for the new field Added focused unit tests for: - capturing trace context into Submission - preferring `Submission.trace` when building the core dispatch span ### Why PR 1 gave us consistent inbound request spans in app-server, but that only covered the transport boundary. For long-running work like turns and reviews, the important missing piece was preserving ancestry after the request handler returns and core continues work on a different async path. This change makes that handoff explicit and keeps the parentage rules simple: - app-server request span sets the current context - `Submission.trace` snapshots that context - core restores it once, at the submission boundary - deeper core spans inherit naturally That also lets us stop relying on env-based reparenting for this path, which was too ambient and could override explicit ancestry.
Owen Lin ·
2026-03-04 01:03:45 +00:00 -
app-server service tier plumbing (plus some cleanup) (#13334)
followup to https://github.com/openai/codex/pull/13212 to expose fast tier controls to app server (majority of this PR is generated schema jsons - actual code is +69 / -35 and +24 tests ) - add service tier fields to the app-server protocol surfaces used by thread lifecycle, turn start, config, and session configured events - thread service tier through the app-server message processor and core thread config snapshots - allow runtime config overrides to carry service tier for app-server callers cleanup: - Removing useless "legacy" code supporting "standard" - we moved to None | "fast", so "standard" is not needed.
pash-openai ·
2026-03-03 02:35:09 -08:00 -
Enable analytics in codex exec and codex mcp-server (#13083)
Addresses #12913 `codex exec` was not correctly defaulting to Otel metrics to enabled `codex mcp-server` completely lacked an Otel collector Summary: - default to enabling analytics when `codex exec` initializes OpenTelemetry so the CLI actually reports metrics again - add a regression test that proves the flag remains enabled by default - added Otel collector to `codex mcp-server`
Eric Traut ·
2026-02-27 19:22:54 -07:00 -
feat: include available decisions in command approval requests (#12758)
Command-approval clients currently infer which choices to show from side-channel fields like `networkApprovalContext`, `proposedExecpolicyAmendment`, and `additionalPermissions`. That makes the request shape harder to evolve, and it forces each client to replicate the server's heuristics instead of receiving the exact decision list for the prompt. This PR introduces a mapping between `CommandExecutionApprovalDecision` and `codex_protocol::protocol::ReviewDecision`: ```rust impl From<CoreReviewDecision> for CommandExecutionApprovalDecision { fn from(value: CoreReviewDecision) -> Self { match value { CoreReviewDecision::Approved => Self::Accept, CoreReviewDecision::ApprovedExecpolicyAmendment { proposed_execpolicy_amendment, } => Self::AcceptWithExecpolicyAmendment { execpolicy_amendment: proposed_execpolicy_amendment.into(), }, CoreReviewDecision::ApprovedForSession => Self::AcceptForSession, CoreReviewDecision::NetworkPolicyAmendment { network_policy_amendment, } => Self::ApplyNetworkPolicyAmendment { network_policy_amendment: network_policy_amendment.into(), }, CoreReviewDecision::Abort => Self::Cancel, CoreReviewDecision::Denied => Self::Decline, } } } ``` And updates `CommandExecutionRequestApprovalParams` to have a new field: ```rust available_decisions: Option<Vec<CommandExecutionApprovalDecision>> ``` when, if specified, should make it easier for clients to display an appropriate list of options in the UI. This makes it possible for `CoreShellActionProvider::prompt()` in `unix_escalation.rs` to specify the `Vec<ReviewDecision>` directly, adding support for `ApprovedForSession` when approving a skill script, which was previously missing in the TUI. Note this results in a significant change to `exec_options()` in `approval_overlay.rs`, as the displayed options are now derived from `available_decisions: &[ReviewDecision]`. ## What Changed - Add `available_decisions` to [`ExecApprovalRequestEvent`](https://github.com/openai/codex/blob/de00e932dd9801de0a4faac0519162099753f331/codex-rs/protocol/src/approvals.rs#L111-L175), including helpers to derive the legacy default choices when older senders omit the field. - Map `codex_protocol::protocol::ReviewDecision` to app-server `CommandExecutionApprovalDecision` and expose the ordered list as experimental `availableDecisions` in [`CommandExecutionRequestApprovalParams`](https://github.com/openai/codex/blob/de00e932dd9801de0a4faac0519162099753f331/codex-rs/app-server-protocol/src/protocol/v2.rs#L3798-L3807). - Thread optional `available_decisions` through the core approval path so Unix shell escalation can explicitly request `ApprovedForSession` for session-scoped approvals instead of relying on client heuristics. [`unix_escalation.rs`](https://github.com/openai/codex/blob/de00e932dd9801de0a4faac0519162099753f331/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs#L194-L214) - Update the TUI approval overlay to build its buttons from the ordered decision list, while preserving the legacy fallback when `available_decisions` is missing. - Update the app-server README, test client output, and generated schema artifacts to document and surface the new field. ## Testing - Add `approval_overlay.rs` coverage for explicit decision lists, including the generic `ApprovedForSession` path and network approval options. - Update `chatwidget/tests.rs` and app-server protocol tests to populate the new optional field and keep older event shapes working. ## Developers Docs - If we document `item/commandExecution/requestApproval` on [developers.openai.com/codex](https://developers.openai.com/codex), add experimental `availableDecisions` as the preferred source of approval choices and note that older servers may omit it.Michael Bolin ·
2026-02-26 01:10:46 +00:00 -
Revert "Add skill approval event/response (#12633)" (#12811)
This reverts commit https://github.com/openai/codex/pull/12633. We no longer need this PR, because we favor sending normal exec command approval server request with `additional_permissions` of skill permissions instead
Celia Chen ·
2026-02-26 01:02:42 +00:00 -
Enable request_user_input in Default mode (#12735)
## Summary - allow `request_user_input` in Default collaboration mode as well as Plan - update the Default-mode instructions to prefer assumptions first and use `request_user_input` only when a question is unavoidable - update request_user_input and app-server tests to match the new Default-mode behavior - refactor collaboration-mode availability plumbing into `CollaborationModesConfig` for future mode-related flags ## Codex author `codex resume 019c9124-ed28-7c13-96c6-b916b1c97d49`
Charley Cunningham ·
2026-02-25 15:20:46 -08:00 -
feat(app-server): add ThreadItem::DynamicToolCall (#12732)
Previously, clients would call `thread/start` with dynamic_tools set, and when a model invokes a dynamic tool, it would just make the server->client `item/tool/call` request and wait for the client's response to complete the tool call. This works, but it doesn't have an `item/started` or `item/completed` event. Now we are doing this: - [new] emit `item/started` with `DynamicToolCall` populated with the call arguments - send an `item/tool/call` server request - [new] once the client responds, emit `item/completed` with `DynamicToolCall` populated with the response. Also, with `persistExtendedHistory: true`, dynamic tool calls are now reconstructable in `thread/read` and `thread/resume` as `ThreadItem::DynamicToolCall`.
Owen Lin ·
2026-02-25 12:00:10 -08:00 -
feat: pass helper executable paths via Arg0DispatchPaths (#12719)
## Why `codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs` previously located `codex-execve-wrapper` by scanning `PATH` and sibling directories. That lookup is brittle and can select the wrong binary when the runtime environment differs from startup assumptions. We already pass `codex-linux-sandbox` from `codex-arg0`; `codex-execve-wrapper` should use the same startup-driven path plumbing. ## What changed - Introduced `Arg0DispatchPaths` in `codex-arg0` to carry both helper executable paths: - `codex_linux_sandbox_exe` - `main_execve_wrapper_exe` - Updated `arg0_dispatch_or_else()` to pass `Arg0DispatchPaths` to top-level binaries and preserve helper paths created in `prepend_path_entry_for_codex_aliases()`. - Threaded `Arg0DispatchPaths` through entrypoints in `cli`, `exec`, `tui`, `app-server`, and `mcp-server`. - Added `main_execve_wrapper_exe` to core configuration plumbing (`Config`, `ConfigOverrides`, and `SessionServices`). - Updated zsh-fork shell escalation to consume the configured `main_execve_wrapper_exe` and removed path-sniffing fallback logic. - Updated app-server config reload paths so reloaded configs keep the same startup-provided helper executable paths. ## References - [`Arg0DispatchPaths` definition](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/arg0/src/lib.rs#L20-L24) - [`arg0_dispatch_or_else()` forwarding both paths](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/arg0/src/lib.rs#L145-L176) - [zsh-fork escalation using configured wrapper path](https://github.com/openai/codex/blob/e355b43d5c2a771f045296a6deae10d7c9c36ec6/codex-rs/core/src/tools/runtimes/shell/unix_escalation.rs#L109-L150) ## Testing - `cargo check -p codex-arg0 -p codex-core -p codex-exec -p codex-tui -p codex-mcp-server -p codex-app-server` - `cargo test -p codex-arg0` - `cargo test -p codex-core tools::runtimes::shell::unix_escalation:: -- --nocapture`
Michael Bolin ·
2026-02-24 17:44:38 -08:00 -
feat(core) Introduce Feature::RequestPermissions (#11871)
## Summary Introduces the initial implementation of Feature::RequestPermissions. RequestPermissions allows the model to request that a command be run inside the sandbox, with additional permissions, like writing to a specific folder. Eventually this will include other rules as well, and the ability to persist these permissions, but this PR is already quite large - let's get the core flow working and go from there! <img width="1279" height="541" alt="Screenshot 2026-02-15 at 2 26 22 PM" src="https://github.com/user-attachments/assets/0ee3ec0f-02ec-4509-91a2-809ac80be368" /> ## Testing - [x] Added tests - [x] Tested locally - [x] Feature
Dylan Hurd ·
2026-02-24 09:48:57 -08:00 -
Add skill approval event/response (#12633)
Set the stage for skill-level permission approval in addition to command-level. Behind a feature flag.
pakrym-oai ·
2026-02-23 22:28:58 -08:00 -
feat(core): persist network approvals in execpolicy (#12357)
## Summary Persist network approval allow/deny decisions as `network_rule(...)` entries in execpolicy (not proxy config) It adds `network_rule` parsing + append support in `codex-execpolicy`, including `decision="prompt"` (parse-only; not compiled into proxy allow/deny lists) - compile execpolicy network rules into proxy allow/deny lists and update the live proxy state on approval - preserve requirements execpolicy `network_rule(...)` entries when merging with file-based execpolicy - reject broad wildcard hosts (for example `*`) for persisted `network_rule(...)`
viyatb-oai ·
2026-02-23 21:37:46 -08:00 -
chore: remove codex-core public protocol/shell re-exports (#12432)
## Why `codex-rs/core/src/lib.rs` re-exported a broad set of types and modules from `codex-protocol` and `codex-shell-command`. That made it easy for workspace crates to import those APIs through `codex-core`, which in turn hides dependency edges and makes it harder to reduce compile-time coupling over time. This change removes those public re-exports so call sites must import from the source crates directly. Even when a crate still depends on `codex-core` today, this makes dependency boundaries explicit and unblocks future work to drop `codex-core` dependencies where possible. ## What Changed - Removed public re-exports from `codex-rs/core/src/lib.rs` for: - `codex_protocol::protocol` and related protocol/model types (including `InitialHistory`) - `codex_protocol::config_types` (`protocol_config_types`) - `codex_shell_command::{bash, is_dangerous_command, is_safe_command, parse_command, powershell}` - Migrated workspace Rust call sites to import directly from: - `codex_protocol::protocol` - `codex_protocol::config_types` - `codex_protocol::models` - `codex_shell_command` - Added explicit `Cargo.toml` dependencies (`codex-protocol` / `codex-shell-command`) in crates that now import those crates directly. - Kept `codex-core` internal modules compiling by using `pub(crate)` aliases in `core/src/lib.rs` (internal-only, not part of the public API). - Updated the two utility crates that can already drop a `codex-core` dependency edge entirely: - `codex-utils-approval-presets` - `codex-utils-cli` ## Verification - `cargo test -p codex-utils-approval-presets` - `cargo test -p codex-utils-cli` - `cargo check --workspace --all-targets` - `just clippy`Michael Bolin ·
2026-02-20 23:45:35 -08:00 -
Wire realtime api to core (#12268)
- Introduce `RealtimeConversationManager` for realtime API management - Add `op::conversation` to start conversation, insert audio, insert text, and close conversation. - emit conversation lifecycle and realtime events. - Move shared realtime payload types into codex-protocol and add core e2e websocket tests for start/replace/transport-close paths. Things to consider: - Should we use the same `op::` and `Events` channel to carry audio? I think we should try this simple approach and later we can create separate one if the channels got congested. - Sending text updates to the client: we can start simple and later restrict that. - Provider auth isn't wired for now intentionally
Ahmed Ibrahim ·
2026-02-20 19:06:35 -08:00 -
client side modelinfo overrides (#12101)
TL;DR Add top-level `model_catalog_json` config support so users can supply a local model catalog override from a JSON file path (including adding new models) without backend changes. ### Problem Codex previously had no clean client-side way to replace/overlay model catalog data for local testing of model metadata and new model entries. ### Fix - Add top-level `model_catalog_json` config field (JSON file path). - Apply catalog entries when resolving `ModelInfo`: 1. Base resolved model metadata (remote/fallback) 2. Catalog overlay from `model_catalog_json` 3. Existing global top-level overrides (`model_context_window`, `model_supports_reasoning_summaries`, etc.) ### Note Will revisit per-field overrides in a follow-up ### Tests Added tests
sayan-oai ·
2026-02-19 10:38:57 -08:00 -
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.
Owen Lin ·
2026-02-18 01:55:57 +00:00 -
chore: rm remote models fflag (#11699)
rm `remote_models` feature flag. We see issues like #11527 when a user has `remote_models` disabled, as we always use the default fallback `ModelInfo`. This causes issues with model performance. Builds on #11690, which helps by warning the user when they are using the default fallback. This PR will make that happen much less frequently as an accidental consequence of disabling `remote_models`.
sayan-oai ·
2026-02-17 11:43:16 -08:00 -
Feat: add model reroute notification (#12001)
### Summary Builiding off https://github.com/openai/codex/pull/11964/files/5c75aa7b89a70bc2cc410a6fd238749306ec4c5e#diff-058ae8f109a8b84b4b79bbfa45f522c2233b9d9e139696044ae374d50b6196e0, we have created a `model/rerouted` notification that captures the event so that consumers can render as expected. Keep the `EventMsg::Warning` path in core so that this does not affect TUI rendering. `model/rerouted` is meant to be generic to account for future usage including capacity planning etc.
Shijie Rao ·
2026-02-17 11:02:23 -08:00 -
feat(core): add structured network approval plumbing and policy decision model (#11672)
### Description #### Summary Introduces the core plumbing required for structured network approvals #### What changed - Added structured network policy decision modeling in core. - Added approval payload/context types needed for network approval semantics. - Wired shell/unified-exec runtime plumbing to consume structured decisions. - Updated related core error/event surfaces for structured handling. - Updated protocol plumbing used by core approval flow. - Included small CLI debug sandbox compatibility updates needed by this layer. #### Why establishes the minimal backend foundation for network approvals without yet changing high-level orchestration or TUI behavior. #### Notes - Behavior remains constrained by existing requirements/config gating. - Follow-up PRs in the stack handle orchestration, UX, and app-server integration. --------- Co-authored-by: Codex <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
viyatb-oai ·
2026-02-14 04:18:12 +00:00 -
Bump rmcp to 0.15 (#11539)
https://github.com/modelcontextprotocol/rust-sdk/pull/598 in 0.14 broke some MCP oauth (like Linear) and https://github.com/modelcontextprotocol/rust-sdk/pull/641 fixed it in 0.15
Gabriel Peal ·
2026-02-11 22:04:17 -08:00 -
feat: make sandbox read access configurable with
ReadOnlyAccess(#11387)`SandboxPolicy::ReadOnly` previously implied broad read access and could not express a narrower read surface. This change introduces an explicit read-access model so we can support user-configurable read restrictions in follow-up work, while preserving current behavior today. It also ensures unsupported backends fail closed for restricted-read policies instead of silently granting broader access than intended. ## What - Added `ReadOnlyAccess` in protocol with: - `Restricted { include_platform_defaults, readable_roots }` - `FullAccess` - Updated `SandboxPolicy` to carry read-access configuration: - `ReadOnly { access: ReadOnlyAccess }` - `WorkspaceWrite { ..., read_only_access: ReadOnlyAccess }` - Preserved existing behavior by defaulting current construction paths to `ReadOnlyAccess::FullAccess`. - Threaded the new fields through sandbox policy consumers and call sites across `core`, `tui`, `linux-sandbox`, `windows-sandbox`, and related tests. - Updated Seatbelt policy generation to honor restricted read roots by emitting scoped read rules when full read access is not granted. - Added fail-closed behavior on Linux and Windows backends when restricted read access is requested but not yet implemented there (`UnsupportedOperation`). - Regenerated app-server protocol schema and TypeScript artifacts, including `ReadOnlyAccess`. ## Compatibility / rollout - Runtime behavior remains unchanged by default (`FullAccess`). - API/schema changes are in place so future config wiring can enable restricted read access without another policy-shape migration.Michael Bolin ·
2026-02-11 18:31:14 -08:00 -
feat: split codex-common into smaller utils crates (#11422)
We are removing feature-gated shared crates from the `codex-rs` workspace. `codex-common` grouped several unrelated utilities behind `[features]`, which made dependency boundaries harder to reason about and worked against the ongoing effort to eliminate feature flags from workspace crates. Splitting these utilities into dedicated crates under `utils/` aligns this area with existing workspace structure and keeps each dependency explicit at the crate boundary. ## What changed - Removed `codex-rs/common` (`codex-common`) from workspace members and workspace dependencies. - Added six new utility crates under `codex-rs/utils/`: - `codex-utils-cli` - `codex-utils-elapsed` - `codex-utils-sandbox-summary` - `codex-utils-approval-presets` - `codex-utils-oss` - `codex-utils-fuzzy-match` - Migrated the corresponding modules out of `codex-common` into these crates (with tests), and added matching `BUILD.bazel` targets. - Updated direct consumers to use the new crates instead of `codex-common`: - `codex-rs/cli` - `codex-rs/tui` - `codex-rs/exec` - `codex-rs/app-server` - `codex-rs/mcp-server` - `codex-rs/chatgpt` - `codex-rs/cloud-tasks` - Updated workspace lockfile entries to reflect the new dependency graph and removal of `codex-common`.
Michael Bolin ·
2026-02-11 12:59:24 +00:00 -
chore: persist turn_id in rollout session and make turn_id uuid based (#11246)
Problem: 1. turn id is constructed in-memory; 2. on resuming threads, turn_id might not be unique; 3. client cannot no the boundary of a turn from rollout files easily. This PR does three things: 1. persist `task_started` and `task_complete` events; 1. persist `turn_id` in rollout turn events; 5. generate turn_id as unique uuids instead of incrementing it in memory. This helps us resolve the issue of clients wanting to have unique turn ids for resuming a thread, and knowing the boundry of each turn in rollout files. example debug logs ``` 2026-02-11T00:32:10.746876Z DEBUG codex_app_server_protocol::protocol::thread_history: built turn from rollout items turn_index=8 turn=Turn { id: "019c4a07-d809-74c3-bc4b-fd9618487b4b", items: [UserMessage { id: "item-24", content: [Text { text: "hi", text_elements: [] }] }, AgentMessage { id: "item-25", text: "Hi. I’m in the workspace with your current changes loaded and ready. Send the next task and I’ll execute it end-to-end." }], status: Completed, error: None } 2026-02-11T00:32:10.746888Z DEBUG codex_app_server_protocol::protocol::thread_history: built turn from rollout items turn_index=9 turn=Turn { id: "019c4a18-1004-76c0-a0fb-a77610f6a9b8", items: [UserMessage { id: "item-26", content: [Text { text: "hello", text_elements: [] }] }, AgentMessage { id: "item-27", text: "Hello. Ready for the next change in `codex-rs`; I can continue from the current in-progress diff or start a new task." }], status: Completed, error: None } 2026-02-11T00:32:10.746899Z DEBUG codex_app_server_protocol::protocol::thread_history: built turn from rollout items turn_index=10 turn=Turn { id: "019c4a19-41f0-7db0-ad78-74f1503baeb8", items: [UserMessage { id: "item-28", content: [Text { text: "hello", text_elements: [] }] }, AgentMessage { id: "item-29", text: "Hello. Send the specific change you want in `codex-rs`, and I’ll implement it and run the required checks." }], status: Completed, error: None } ``` backward compatibility: if you try to resume an old session without task_started and task_complete event populated, the following happens: - If you resume and do nothing: those reconstructed historical IDs can differ next time you resume. - If you resume and send a new turn: the new turn gets a fresh UUID from live submission flow and is persisted, so that new turn’s ID is stable on later resumes. I think this behavior is fine, because we only care about deterministic turn id once a turn is triggered.Celia Chen ·
2026-02-11 03:56:01 +00:00 -
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
Shijie Rao ·
2026-02-10 09:38:00 -08:00 -
feat: retain NetworkProxy, when appropriate (#11207)
As of this PR, `SessionServices` retains a `Option<StartedNetworkProxy>`, if appropriate. Now the `network` field on `Config` is `Option<NetworkProxySpec>` instead of `Option<NetworkProxy>`. Over in `Session::new()`, we invoke `NetworkProxySpec::start_proxy()` to create the `StartedNetworkProxy`, which is a new struct that retains the `NetworkProxy` as well as the `NetworkProxyHandle`. (Note that `Drop` is implemented for `NetworkProxyHandle` to ensure the proxies are shutdown when it is dropped.) The `NetworkProxy` from the `StartedNetworkProxy` is threaded through to the appropriate places. --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/openai/codex/pull/11207). * #11285 * __->__ #11207
Michael Bolin ·
2026-02-10 02:09:23 -08:00 -
test: deflake nextest child-process leak in MCP harnesses (#11263)
## Summary - add deterministic child-process cleanup to both test `McpProcess` helpers - keep Tokio `kill_on_drop(true)` but also reap via bounded `try_wait()` polling in `Drop` - document the failure mode and why this avoids nondeterministic `LEAK` flakes ## Why `cargo nextest` leak detection can intermittently report `LEAK` when a spawned server outlives test teardown, making CI flaky. ## Testing - `just fmt` - `cargo test -p codex-app-server` - `cargo test -p codex-mcp-server` ## Failing CI Reference - Original failing job: https://github.com/openai/codex/actions/runs/21845226299/job/63039443593?pr=11245
Josh McKinney ·
2026-02-10 03:43:24 +00:00 -
Upgrade rmcp to 0.14 (#10718)
- [x] Upgrade rmcp to 0.14
Matthew Zeng ·
2026-02-08 15:07:53 -08:00 -
Fix flaky windows CI test (#10993)
Hardens PTY Python REPL test and make MCP test startup deterministic **Summary** - `utils/pty/src/tests.rs` - Added a REPL readiness handshake (`wait_for_python_repl_ready`) that repeatedly sends a marker and waits for it in PTY output before sending test commands. - Updated `pty_python_repl_emits_output_and_exits` to: - wait for readiness first, - preserve startup output, - append output collected through process exit. - Reduces Windows/ConPTY flakiness from early stdin writes racing REPL startup. - `mcp-server/tests/suite/codex_tool.rs` - Avoid remote model refresh during MCP test startup, reducing timeout-prone nondeterminism.Eric Traut ·
2026-02-07 08:55:42 -08:00 -
Add resume_agent collab tool (#10903)
Summary - add the new resume_agent collab tool path through core, protocol, and the app server API, including the resume events - update the schema/TypeScript definitions plus docs so resume_agent appears in generated artifacts and README - note that resumed agents rehydrate rollout history without overwriting their base instructions Testing - Not run (not requested)
jif-oai ·
2026-02-07 17:31:45 +01:00 -
feat: add APIs to list and download public remote skills (#10448)
Add API to list / download from remote public skills
xl-openai ·
2026-02-03 14:09:37 -08:00 -
jif-oai ·
2026-02-03 11:31:57 +00:00 -
feat: replace custom mcp-types crate with equivalents from rmcp (#10349)
We started working with MCP in Codex before https://crates.io/crates/rmcp was mature, so we had our own crate for MCP types that was generated from the MCP schema: https://github.com/openai/codex/blob/8b95d3e082376f4cb23e92641705a22afb28a9da/codex-rs/mcp-types/README.md Now that `rmcp` is more mature, it makes more sense to use their MCP types in Rust, as they handle details (like the `_meta` field) that our custom version ignored. Though one advantage that our custom types had is that our generated types implemented `JsonSchema` and `ts_rs::TS`, whereas the types in `rmcp` do not. As such, part of the work of this PR is leveraging the adapters between `rmcp` types and the serializable types that are API for us (app server and MCP) introduced in #10356. Note this PR results in a number of changes to `codex-rs/app-server-protocol/schema`, which merit special attention during review. We must ensure that these changes are still backwards-compatible, which is possible because we have: ```diff - export type CallToolResult = { content: Array<ContentBlock>, isError?: boolean, structuredContent?: JsonValue, }; + export type CallToolResult = { content: Array<JsonValue>, structuredContent?: JsonValue, isError?: boolean, _meta?: JsonValue, }; ``` so `ContentBlock` has been replaced with the more general `JsonValue`. Note that `ContentBlock` was defined as: ```typescript export type ContentBlock = TextContent | ImageContent | AudioContent | ResourceLink | EmbeddedResource; ``` so the deletion of those individual variants should not be a cause of great concern. Similarly, we have the following change in `codex-rs/app-server-protocol/schema/typescript/Tool.ts`: ``` - export type Tool = { annotations?: ToolAnnotations, description?: string, inputSchema: ToolInputSchema, name: string, outputSchema?: ToolOutputSchema, title?: string, }; + export type Tool = { name: string, title?: string, description?: string, inputSchema: JsonValue, outputSchema?: JsonValue, annotations?: JsonValue, icons?: Array<JsonValue>, _meta?: JsonValue, }; ``` so: - `annotations?: ToolAnnotations` ➡️ `JsonValue` - `inputSchema: ToolInputSchema` ➡️ `JsonValue` - `outputSchema?: ToolOutputSchema` ➡️ `JsonValue` and two new fields: `icons?: Array<JsonValue>, _meta?: JsonValue` --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/openai/codex/pull/10349). * #10357 * __->__ #10349 * #10356
Michael Bolin ·
2026-02-02 17:41:55 -08:00 -
Plan mode: stream proposed plans, emit plan items, and render in TUI (#9786)
## Summary - Stream proposed plans in Plan Mode using `<proposed_plan>` tags parsed in core, emitting plan deltas plus a plan `ThreadItem`, while stripping tags from normal assistant output. - Persist plan items and rebuild them on resume so proposed plans show in thread history. - Wire plan items/deltas through app-server protocol v2 and render a dedicated proposed-plan view in the TUI, including the “Implement this plan?” prompt only when a plan item is present. ## Changes ### Core (`codex-rs/core`) - Added a generic, line-based tag parser that buffers each line until it can disprove a tag prefix; implements auto-close on `finish()` for unterminated tags. `codex-rs/core/src/tagged_block_parser.rs` - Refactored proposed plan parsing to wrap the generic parser. `codex-rs/core/src/proposed_plan_parser.rs` - In plan mode, stream assistant deltas as: - **Normal text** → `AgentMessageContentDelta` - **Plan text** → `PlanDelta` + `TurnItem::Plan` start/completion (`codex-rs/core/src/codex.rs`) - Final plan item content is derived from the completed assistant message (authoritative), not necessarily the concatenated deltas. - Strips `<proposed_plan>` blocks from assistant text in plan mode so tags don’t appear in normal messages. (`codex-rs/core/src/stream_events_utils.rs`) - Persist `ItemCompleted` events only for plan items for rollout replay. (`codex-rs/core/src/rollout/policy.rs`) - Guard `update_plan` tool in Plan Mode with a clear error message. (`codex-rs/core/src/tools/handlers/plan.rs`) - Updated Plan Mode prompt to: - keep `<proposed_plan>` out of non-final reasoning/preambles - require exact tag formatting - allow only one `<proposed_plan>` block per turn (`codex-rs/core/templates/collaboration_mode/plan.md`) ### Protocol / App-server protocol - Added `TurnItem::Plan` and `PlanDeltaEvent` to core protocol items. (`codex-rs/protocol/src/items.rs`, `codex-rs/protocol/src/protocol.rs`) - Added v2 `ThreadItem::Plan` and `PlanDeltaNotification` with EXPERIMENTAL markers and note that deltas may not match the final plan item. (`codex-rs/app-server-protocol/src/protocol/v2.rs`) - Added plan delta route in app-server protocol common mapping. (`codex-rs/app-server-protocol/src/protocol/common.rs`) - Rebuild plan items from persisted `ItemCompleted` events on resume. (`codex-rs/app-server-protocol/src/protocol/thread_history.rs`) ### App-server - Forward plan deltas to v2 clients and map core plan items to v2 plan items. (`codex-rs/app-server/src/bespoke_event_handling.rs`, `codex-rs/app-server/src/codex_message_processor.rs`) - Added v2 plan item tests. (`codex-rs/app-server/tests/suite/v2/plan_item.rs`) ### TUI - Added a dedicated proposed plan history cell with special background and padding, and moved “• Proposed Plan” outside the highlighted block. (`codex-rs/tui/src/history_cell.rs`, `codex-rs/tui/src/style.rs`) - Only show “Implement this plan?” when a plan item exists. (`codex-rs/tui/src/chatwidget.rs`, `codex-rs/tui/src/chatwidget/tests.rs`) <img width="831" height="847" alt="Screenshot 2026-01-29 at 7 06 24 PM" src="https://github.com/user-attachments/assets/69794c8c-f96b-4d36-92ef-c1f5c3a8f286" /> ### Docs / Misc - Updated protocol docs to mention plan deltas. (`codex-rs/docs/protocol_v1.md`) - Minor plumbing updates in exec/debug clients to tolerate plan deltas. (`codex-rs/debug-client/src/reader.rs`, `codex-rs/exec/...`) ## Tests - Added core integration tests: - Plan mode strips plan from agent messages. - Missing `</proposed_plan>` closes at end-of-message. (`codex-rs/core/tests/suite/items.rs`) - Added unit tests for generic tag parser (prefix buffering, non-tag lines, auto-close). (`codex-rs/core/src/tagged_block_parser.rs`) - Existing app-server plan item tests in v2. (`codex-rs/app-server/tests/suite/v2/plan_item.rs`) ## Notes / Behavior - Plan output no longer appears in standard assistant text in Plan Mode; it streams via `PlanDelta` and completes as a `TurnItem::Plan`. - The final plan item content is authoritative and may diverge from streamed deltas (documented as experimental). - Reasoning summaries are not filtered; prompt instructs the model not to include `<proposed_plan>` outside the final plan message. ## Codex Author `codex fork 019bec2d-b09d-7450-b292-d7bcdddcdbfb`
Charley Cunningham ·
2026-01-30 18:59:30 +00:00 -
Conversation naming (#8991)
Session renaming: - `/rename my_session` - `/rename` without arg and passing an argument in `customViewPrompt` - AppExitInfo shows resume hint using the session name if set instead of uuid, defaults to uuid if not set - Names are stored in `CODEX_HOME/sessions.jsonl` Session resuming: - codex resume <name> lookup for `CODEX_HOME/sessions.jsonl` first entry matching the name and resumes the session --------- Co-authored-by: jif-oai <jif@openai.com>
pap-openai ·
2026-01-30 10:40:09 +00:00 -
feat: dynamic tools injection (#9539)
## Summary Add dynamic tool injection to thread startup in API v2, wire dynamic tool calls through the app server to clients, and plumb responses back into the model tool pipeline. ### Flow (high level) - Thread start injects `dynamic_tools` into the model tool list for that thread (validation is done here). - When the model emits a tool call for one of those names, core raises a `DynamicToolCallRequest` event. - The app server forwards it to the client as `item/tool/call`, waits for the client’s response, then submits a `DynamicToolResponse` back to core. - Core turns that into a `function_call_output` in the next model request so the model can continue. ### What changed - Added dynamic tool specs to v2 thread start params and protocol types; introduced `item/tool/call` (request/response) for dynamic tool execution. - Core now registers dynamic tool specs at request time and routes those calls via a new dynamic tool handler. - App server validates tool names/schemas, forwards dynamic tool call requests to clients, and publishes tool outputs back into the session. - Integration tests
jif-oai ·
2026-01-26 10:06:44 +00:00 -
feat: ephemeral threads (#9765)
Add ephemeral threads capabilities. Only exposed through the `app-server` v2 The idea is to disable the rollout recorder for those threads.
jif-oai ·
2026-01-24 14:57:40 +00:00 -
Persist text elements through TUI input and history (#9393)
Continuation of breaking up this PR https://github.com/openai/codex/pull/9116 ## Summary - Thread user text element ranges through TUI/TUI2 input, submission, queueing, and history so placeholders survive resume/edit flows. - Preserve local image attachments alongside text elements and rehydrate placeholders when restoring drafts. - Keep model-facing content shapes clean by attaching UI metadata only to user input/events (no API content changes). ## Key Changes - TUI/TUI2 composer now captures text element ranges, trims them with text edits, and restores them when submission is suppressed. - User history cells render styled spans for text elements and keep local image paths for future rehydration. - Initial chat widget bootstraps accept empty `initial_text_elements` to keep initialization uniform. - Protocol/core helpers updated to tolerate the new InputText field shape without changing payloads sent to the API.
charley-oai ·
2026-01-19 23:49:34 -08:00 -
Feat: request user input tool (#9472)
### Summary * Add `requestUserInput` tool that the model can use for gather feedback/asking question mid turn. ### Tool input schema ``` { "$schema": "http://json-schema.org/draft-07/schema#", "title": "requestUserInput input", "type": "object", "additionalProperties": false, "required": ["questions"], "properties": { "questions": { "type": "array", "description": "Questions to show the user (1-3). Prefer 1 unless multiple independent decisions block progress.", "minItems": 1, "maxItems": 3, "items": { "type": "object", "additionalProperties": false, "required": ["id", "header", "question"], "properties": { "id": { "type": "string", "description": "Stable identifier for mapping answers (snake_case)." }, "header": { "type": "string", "description": "Short header label shown in the UI (12 or fewer chars)." }, "question": { "type": "string", "description": "Single-sentence prompt shown to the user." }, "options": { "type": "array", "description": "Optional 2-3 mutually exclusive choices. Put the recommended option first and suffix its label with \"(Recommended)\". Only include \"Other\" option if we want to include a free form option. If the question is free form in nature, do not include any option.", "minItems": 2, "maxItems": 3, "items": { "type": "object", "additionalProperties": false, "required": ["value", "label", "description"], "properties": { "value": { "type": "string", "description": "Machine-readable value (snake_case)." }, "label": { "type": "string", "description": "User-facing label (1-5 words)." }, "description": { "type": "string", "description": "One short sentence explaining impact/tradeoff if selected." } } } } } } } } } ``` ### Tool output schema ``` { "$schema": "http://json-schema.org/draft-07/schema#", "title": "requestUserInput output", "type": "object", "additionalProperties": false, "required": ["answers"], "properties": { "answers": { "type": "object", "description": "Map of question id to user answer.", "additionalProperties": { "type": "object", "additionalProperties": false, "required": ["selected"], "properties": { "selected": { "type": "array", "items": { "type": "string" } }, "other": { "type": ["string", "null"] } } } } } } ```Shijie Rao ·
2026-01-19 10:17:30 -08:00 -
feat: show forked from session id in /status (#9330)
Summary: - Add forked_from to SessionMeta/SessionConfiguredEvent and persist it for forked sessions. - Surface forked_from in /status for tui + tui2 and add snapshots.
Anton Panasenko ·
2026-01-16 13:41:46 -08:00