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[codex] Move pending input into input queue (#22728)
## Why Pending model input was split across `Session`, `TurnState`, and the agent mailbox. That made it easy for new paths to manage queued user input or mailbox delivery outside the intended ownership boundary. This PR consolidates the model-facing input lifecycle behind the session input queue so turn-local pending input, next-turn queued items, and mailbox delivery coordination are owned in one place. ## What Changed - Added `session/input_queue.rs` to own pending input queues and mailbox delivery coordination. - Removed the standalone `agent/mailbox.rs` channel wrapper and store mailbox items directly in the input queue. - Moved pending-input mutations off `TurnState`; `TurnState` now exposes the queue-owned storage directly for now. - Routed abort cleanup, mailbox delivery phase changes, next-turn queued items, and active-turn pending input through `InputQueue`. - Boxed stack-heavy agent resume/fork startup futures that the refactor pushed over the default test stack. - Updated session, task, goal, stream-event, and multi-agent call sites and tests to use the new queue ownership. ## Verification - `cargo test -p codex-core --lib agent::control::tests` - `cargo test -p codex-core --lib agent::control::tests::resume_closed_child_reopens_open_descendants -- --exact` - `cargo test -p codex-core --lib agent::control::tests::spawn_agent_fork_last_n_turns_keeps_only_recent_turns -- --exact` - `cargo test -p codex-core --lib agent::control::tests::resume_thread_subagent_restores_stored_nickname_and_role -- --exact` - `cargo test -p codex-core` was also run; it completed with 1814 passed, 4 ignored, and one timeout in `agent::control::tests::resume_thread_subagent_restores_stored_nickname_and_role`, which passed when rerun in isolation.
pakrym-oai ·
2026-05-18 15:43:01 -07:00 -
Include plugin id in plugin MCP tool metadata (#23353)
Adding the id of the plugin that contains the MCP (if any) so we can apply filters at plugin level. ## Summary - carry the plugin owner into MCP runtime provenance - attach `plugin_id` to outbound plugin-backed MCP tool-call `_meta` - avoid misattributing user-configured MCP servers that shadow plugin server names ## Testing - `just fmt` - `just fix -p codex-mcp` - `just fix -p codex-core` - `cargo test -p codex-mcp` - `cargo test -p codex-core plugin_mcp_tool_call_request_meta_includes_plugin_id` - `cargo test -p codex-core to_mcp_config_omits_plugin_id_when_user_server_shadows_plugin_mcp` - `cargo test -p codex-core rebuild_preserving_session_layers_refreshes_plugin_derived_mcp_config` - `git diff --check` ## Notes - Attempted `cargo test -p codex-core`; it aborted in `agent::control::tests::resume_agent_from_rollout_skips_descendants_when_parent_resume_fails` with a stack overflow before the full suite completed.
Matthew Zeng ·
2026-05-18 15:33:33 -07:00 -
[codex] Trim unused TurnContextItem fields (#22709)
## Why `TurnContextItem` is the durable baseline used to reconstruct context diffs across resume/fork. Most of the old persisted-only fields on it are no longer read, so keeping them in rollout snapshots adds schema surface and state that can drift without affecting reconstruction. `summary` is the exception: older Codex versions require it to deserialize `turn_context` records, so keep writing a default compatibility value until that schema surface can be removed safely. ## What changed - Removed the unused persisted fields from `TurnContextItem`: trace ids, user/developer instructions, output schema, and truncation policy. - Kept `summary` with a compatibility comment and made `TurnContext::to_turn_context_item` write `ReasoningSummary::Auto` instead of live turn state. - Updated rollout/context reconstruction fixtures for the retained summary field. ## Verification - `cargo test -p codex-protocol --lib turn_context_item` - `cargo test -p codex-rollout resume_candidate_matches_cwd_reads_latest_turn_context` - `cargo test -p codex-state turn_context` - `cargo test -p codex-core --lib new_default_turn_captures_current_span_trace_id` - `cargo test -p codex-core --lib record_initial_history_resumed_turn_context_after_compaction_reestablishes_reference_context_item` - `cargo test -p codex-core --test all emits_warning_when_resumed_model_differs` - `git diff --check`
pakrym-oai ·
2026-05-18 21:54:36 +00:00 -
Publish Linux runtime wheels with glibc-compatible tags (#21812)
## Why The Python SDK depends on `openai-codex-cli-bin` runtime wheels being installable on the Linux hosts our users actually run. The release workflow currently tags the Linux runtime artifacts as `musllinux_*`, which makes pip ignore them on normal glibc distributions even though the bundled Rust executables are intended to run there. ## What changed - Tag the Linux runtime wheels as `manylinux_2_17_aarch64` and `manylinux_2_17_x86_64` instead of `musllinux_1_1_*`. - Keep the existing runtime wheel build and publish flow unchanged otherwise. ## Verification - Confirmed the wheel-tag issue against the PyPA platform-tag rules for `manylinux` vs `musllinux`. - This PR is now intentionally scoped to the tag correction only; the broader Python runtime release workflow has already landed on `main` through the merged stack. ## Follow-up After publishing the next alpha from this branch, install the SDK/runtime in a fresh glibc Linux environment and confirm pip resolves the tagged Linux wheel as expected. Co-authored-by: Codex <noreply@openai.com>
Ahmed Ibrahim ·
2026-05-18 14:09:25 -07:00 -
Improve
codex remote-controlCLI UX (#22878)## Description This PR makes `codex remote-control` behave like a foreground CLI command by default. Running it now starts remote control, waits for readiness, prints a clear status message with the machine name, and stays alive until Ctrl-C. Users who want daemon behavior can use `codex remote-control start`, and `codex remote-control stop` now prints concise human-readable output. `--json` remains available for scripts. Implementation-wise, this now verifies the real app-server state instead of just assuming startup worked. The CLI starts or connects to app-server, probes its control socket, calls the `remoteControl/enable` API, and waits for the remote-control status response/notification before printing success. For daemon mode, `codex remote-control start` also reports which managed app-server binary was used, including its path and best-effort `codex --version`, so failures are easier to diagnose. ## Examples Example output: ``` > codex remote-control Starting app-server with remote control enabled... This machine is available for remote control as com-97826. Press Ctrl-C to stop. ``` Error case using daemon (currently expected based on our publicly released CLI version): ``` > ./target/debug/codex remote-control start Starting app-server daemon with remote control enabled... Error: app server did not become ready on /Users/owen/.codex/app-server-control/app-server-control.sock Daemon used app-server: path: /Users/owen/.codex/packages/standalone/current/codex version: 0.130.0 Managed app-server stderr (/Users/owen/.codex/app-server-daemon/app-server.stderr.log): error: unexpected argument '--remote-control' found Usage: codex app-server [OPTIONS] [COMMAND] For more information, try '--help'. Caused by: 0: failed to connect to /Users/owen/.codex/app-server-control/app-server-control.sock 1: No such file or directory (os error 2) ``` ## What changed - `codex remote-control` now runs remote control in the foreground and prints a Ctrl-C stop hint. - `codex remote-control start` starts the daemon and waits for remote control readiness before reporting success. - `codex remote-control stop` reports stopped/not-running status in plain language. - Startup failures now include recent managed app-server stderr to make daemon issues easier to diagnose. - Added coverage for CLI output, readiness waiting, foreground shutdown, and stderr log tailing.Owen Lin ·
2026-05-18 13:39:02 -07:00 -
Reduce rust-ci-full Windows nextest timeout flakes (#23253)
## Why Recent `rust-ci-full` failures were dominated by transient Windows timeout clusters in process-heavy tests such as `suite::resume`, `suite::cli_stream`, `suite::auth_env`, `start_thread_uses_all_default_environments_from_codex_home`, and `connect_stdio_command_initializes_json_rpc_client_on_windows`. The goal here is to make those known flaky paths less likely to fail full CI without relaxing the global nextest timeout policy. ## What changed - Enable one global nextest retry with `retries = 1` so a single transient failure can recover. - Add a `windows_process_heavy` test group with `max-threads = 2` for the recurring Windows subprocess/session-heavy timeout families. - Add Windows-only slow-timeout overrides for that process-heavy group. - Add a narrower Windows-only timeout override for `start_thread_uses_all_default_environments_from_codex_home`, which still exceeded the broader Windows bucket in both Windows full-CI lanes. - Increase the `rust-ci-full` nextest job timeout from `45m` to `60m` so Windows ARM64 still has job-level headroom after retries and targeted per-test timeout increases. - Keep the global `slow-timeout` unchanged at `15s`. ## Validation Validated through `rust-ci-full` GitHub Actions reruns on this PR. Observed improvement on the tuned Windows lanes: - Windows x64 went from `5 timed out` to `0 timed out`. - Windows ARM64 went from `2 timed out` to `0 timed out`. - `start_thread_uses_all_default_environments_from_codex_home` recovered as a flaky pass on Windows ARM64 instead of timing out. The remaining failing tests in those runs were unrelated hard failures outside this nextest timeout tuning.
starr-openai ·
2026-05-18 13:06:39 -07:00 -
Add tool lifecycle extension contributor (#23309)
## Why Extensions that need to track runtime progress currently have no typed host signal for tool execution. The goal extension in particular needs to observe tool attempts without inspecting tool payloads, owning tool implementations, or staying coupled to core-only runtime plumbing. This adds a narrow lifecycle contributor API for host-owned tool execution: extensions can observe when an accepted tool call starts and how it finishes, while policy hooks and tool handlers continue to own payload rewriting, blocking, and execution. Relevant code: - [`ToolLifecycleContributor`](https://github.com/openai/codex/blob/3ad2850ffc7d8a1da19c65a92425637a59098f1b/codex-rs/ext/extension-api/src/contributors.rs#L119) defines the extension-facing observer contract. - [`tool_lifecycle.rs`](https://github.com/openai/codex/blob/3ad2850ffc7d8a1da19c65a92425637a59098f1b/codex-rs/ext/extension-api/src/contributors/tool_lifecycle.rs) defines the typed start/finish inputs, source, and outcome enums. - [`notify_tool_start` / `notify_tool_finish`](https://github.com/openai/codex/blob/3ad2850ffc7d8a1da19c65a92425637a59098f1b/codex-rs/core/src/tools/lifecycle.rs) bridges core tool dispatch into the extension registry. ## What Changed - Added `ToolLifecycleContributor` to `codex-extension-api`, including: - `ToolStartInput` - `ToolFinishInput` - `ToolCallSource` - `ToolCallOutcome` - Added registration and lookup support on `ExtensionRegistryBuilder` / `ExtensionRegistry`. - Wired core tool dispatch to notify lifecycle contributors for: - accepted tool starts - completed tool calls, including the tool output success marker - pre-tool-use blocks - failures before or after the handler runs - cancellation/abort in the parallel tool path - Registered the goal extension as a lifecycle contributor and added the outcome filter it will use for goal progress accounting. ## Test Coverage - Added `dispatch_notifies_tool_lifecycle_contributors` to cover lifecycle notification ordering and outcomes for successful and handler-failed tool calls.
jif-oai ·
2026-05-18 21:55:57 +02:00 -
fix: default unknown tool schemas to empty schemas (#22380)
## Why Some tool providers, especially MCP servers and dynamic tool sources, can supply schema nodes that omit `type` and have no recognized JSON Schema shape hints. Previously, `sanitize_json_schema` filled those unknown nodes in as `string`, which made the schema parseable but invented a scalar constraint that the provider did not specify. For description-only fields, that could incorrectly steer tool arguments away from the provider's actual accepted shape. The Responses API accepts permissive empty schemas such as `{}` at nested property positions, so Codex should preserve that permissive meaning instead of coercing unknown schema nodes into a misleading scalar type. ## What Changed - Changed the no-hints fallback in `codex-rs/tools/src/json_schema.rs` to clear unrecognized object schema nodes to `{}`. - Empty schemas now remain `{}` rather than becoming `type: "string"`. - Description-only or otherwise metadata-only nested property schemas now become `{}` while surrounding object/array/string/number inference still applies when recognized hints are present. - Updated `codex-tools` and `codex-core` tests to cover top-level empty schemas, nested empty schemas, metadata-only malformed schemas, dynamic tools, and MCP tool specs. ## Verification - `cargo test -p codex-tools` - `cargo test -p codex-core test_mcp_tool_property_missing_type_defaults_to_empty_schema` - Manually verified the real Responses API behavior for both empty-schema positions: - Top-level function `parameters: {}` is accepted and echoed back as `{"type":"object","properties":{}}`; when forced to call the tool, Responses emitted empty object arguments: `"arguments": "{}"`. - Nested property schema `{}` is accepted and preserved as `{}`; when forced to call a tool with `metadata.extra`, Responses emitted `"arguments": "{\"metadata\":{\"extra\":\"codex schema sanitizer behavior\"}}"`.Celia Chen ·
2026-05-18 12:41:10 -07:00 -
codex: route global AGENTS reads through LOCAL_FS (#23343)
## Summary - make `load_global_instructions` read through an `ExecutorFileSystem` - call global AGENTS reads with explicit `LOCAL_FS` so they stay tied to local codex-home state ## Validation - `bazel test --bes_backend= --bes_results_url= --test_filter=instruction_sources_include_global_before_agents_md_docs //codex-rs/core:core-unit-tests` on `dev`
starr-openai ·
2026-05-18 19:26:10 +00:00 -
feat(app-server): add optional thread_id to experimentalFeature/list (#23335)
## Why `experimentalFeature/list` reports effective feature enablement, but currently does not resolve it against a working directory where project-local config.toml files can exist and toggle on/off features when merged into the effective config after resolving the various config layers. That means we effectively (and incorrectly) ignore features set in project-local config. To address that, this PR exposes an optional `thread_id` param which allows us to load the thread's `cwd. ## Testing - `cargo test -p codex-app-server-protocol` - `cargo test -p codex-app-server experimental_feature_list`
Owen Lin ·
2026-05-18 12:12:14 -07:00 -
feat(tui): handle paste in session picker (#23338)
## Why The session picker already supports typed search, but it ignored bracketed paste events entirely. On macOS terminals this makes pasted text look like a no-op on the resume screen, which is especially noticeable when a user wants to paste part of a thread name, branch, or path into the search field. ## What Changed - route `TuiEvent::Paste(String)` into the session picker instead of dropping it - normalize pasted search text into a single-line query by collapsing whitespace - ignore whitespace-only pastes - reuse the existing `set_query(...)` path so pasted searches keep the same filtering and pagination behavior as typed input - add focused tests for append behavior, whitespace normalization, whitespace-only paste, and the existing search-loading path This PR is stacked on top of #23234 and contains only the net change relative to `etraut/clarify-resume-hints`. ## How to Test 1. Start Codex in a terminal that emits bracketed paste, for example iTerm2 on macOS. 2. Open the resume picker so the search UI is visible. 3. Copy a term that should match one of the visible sessions, then paste it into the picker. 4. Confirm the query updates immediately and the list filters as if the text had been typed. 5. Also verify that pasting text with newlines or tabs still produces a usable single-line search query. 6. Also verify that normal typed search still works and that `Esc` still clears the query / exits as before. Targeted tests: - `cargo test -p codex-tui` --------- Co-authored-by: Eric Traut <etraut@openai.com>
Felipe Coury ·
2026-05-18 19:04:41 +00:00 -
goals: keep pause transitions explicit (#23088)
## Problem This addresses several user-reported cases where active goals were paused even though the user had not explicitly asked for that transition: - the guardian approval-review circuit breaker interrupted a turn and implicitly paused the goal - a shutdown in one app-server instance could pause a goal while a second instance was still actively running the same thread - steering-style interrupts could also pause the goal even though they are meant to redirect work, not stop the goal lifecycle The common problem was that core treated `TurnAbortReason::Interrupted` as an implicit request to transition the persisted goal to `paused`. That made unrelated interrupt paths mutate goal state as a side effect, and in the multi-app-server case it allowed stale process teardown to pause a live goal owned by another running client. After this change, transitioning a goal to `paused` is always an explicit action performed by a client or another intentional goal-state mutation. It is never an implicit transition triggered by generic interrupt handling. Refs #22884. ## What changed - Remove the goal runtime path that paused active goals after interrupted task aborts. - Drop the now-unused abort reason from `GoalRuntimeEvent::TaskAborted`. - Update the focused regression coverage so an interrupted active goal still accounts usage but remains `active`.
Eric Traut ·
2026-05-18 11:58:40 -07:00 -
TUI: replay in-progress MCP calls as started (#23236)
Fixes #22300. ## Summary MCP tool calls can appear in thread history while still in progress. During replay, `handle_thread_item` routed every `ThreadItem::McpToolCall` to the completion handler, so an in-progress item with no result or error was rendered as `MCP tool call completed without a result`. This updates replay handling to mirror command executions: `InProgress` MCP calls go through `on_mcp_tool_call_started`, while completed and failed calls continue through the completion path. ## Validation - `cargo test -p codex-tui replayed_in_progress_mcp_tool_call_stays_active`
Eric Traut ·
2026-05-18 11:34:31 -07:00 -
TUI: route elicitation responses to request thread (#23241)
## Why Fixes #21894. When the TUI handles an MCP elicitation, the request payload already includes the thread that generated the elicitation. `ChatWidget::handle_elicitation_request_now` was ignoring that value and using the currently visible chat thread instead. In a multi-session TUI, that can send `resolve_elicitation` to an older visible thread rather than the session that owns the pending elicitation, producing `elicitation request not found` and leaving the prompt unresolved. ## What changed - Parse `McpServerElicitationRequestParams.thread_id` in the ChatWidget elicitation handler and use it for app-link, form, fallback approval, and auto-decline resolution paths. - Keep the existing visible-thread fallback only for malformed request payloads with an invalid thread id. - Update the invalid URL elicitation regression test so the visible thread and request thread intentionally differ.
Eric Traut ·
2026-05-18 11:33:13 -07:00 -
Clarify resume hints for renamed threads (#23234)
Addresses #23181 ## Why Renamed threads can share names, so hints that suggest resuming directly by name are ambiguous. Issue #23181 asks for the picker hint to include the thread name and thread ID in parens so users can disambiguate safely. ## What - Adds a shared resume hint formatter for named threads: run `codex resume`, then select `<name> (<thread-id>)`. - Uses that hint for /rename confirmations, TUI session summaries, and CLI/TUI exit messages. - Keeps direct `codex resume <thread-id>` guidance for unnamed threads. ## Verification Manually verified that message after `/rename` and after `/exit` include session ID in parens. --------- Co-authored-by: Felipe Coury <felipe.coury@openai.com>
Eric Traut ·
2026-05-18 11:32:02 -07:00 -
goal: pause continuation loops on usage limits and blockers (#23094)
Addresses #22833, #22245, #23067 ## Why `/goal` can keep synthesizing turns even when the next turn cannot make meaningful progress. Hard usage exhaustion can replay failing turns, and repeated permission or external-resource blockers can keep burning tokens while waiting for user or system intervention. ## What changed - Add resumable `blocked` and `usageLimited` goal states. As with `paused`, goal continuation stops with these states. - Move to `usageLimited` after usage-limit failures. - Allow the built-in `update_goal` tool to set `blocked` only under explicit repeated-impasse guidance. Updated goal continuation prompt to specify that agent should use `blocked` only when it has made at least three attempts to get past an impasse. Most of the files touched by this PR are because of the small app server protocol update. ## Validation I manually reproduced a number of situations where an agent can run into a true impasse and verified that it properly enters `blocked` state. I then resumed and verified that it once again entered `blocked` state several turns later if the impasse still exists. I also manually reproduced the usage-limit condition by creating a simulated responses API endpoint that returns 429 errors with the appropriate error message. Verified that the goal runtime properly moves the goal into `usageLimited` state and TUI UI updates appropriately. Verified that `/goal resume` resumes (and immediately goes back into `ussageLImited` state if appropriate). ## Follow-up PRs Small changes will be needed to the GUI clients to properly handle the two new states.
Eric Traut ·
2026-05-18 11:28:53 -07:00 -
fix: harden plugin creator sharing validation (#22893)
# Summary Before this change, the sample plugin creator could emit placeholder-heavy manifests that fail workspace sharing, and it chose a repo-local marketplace implicitly whenever it ran from inside a git checkout. This PR makes generated plugins share-ready by default. It switches creation to the personal marketplace unless the caller explicitly opts into repo-local paths, adds a validator that mirrors the workspace plugin ingestion contract, and updates the skill prompt and docs to describe the real flow. The goal is to stop malformed generated plugins before they reach sharing and to make the default placement match the personal marketplace behavior users expect. ## Changes - Generate share-safe plugin manifests instead of `[TODO: ...]` placeholder payloads. - Default plugin and marketplace creation to `~/plugins` and `~/.agents/plugins/marketplace.json`. - Keep repo-local marketplace creation available through explicit `--path` and `--marketplace-path` arguments. - Add `validate_plugin.py` to check manifests, companion files, skill frontmatter, skill agent YAML, asset paths, and backend-shaped contracts before sharing. - Refresh the plugin creator skill text, reference docs, and default prompt to describe validation and the personal default. ## Design decisions - The validator tracks the workspace ingestion schema directly, including the required `defaultPrompt` alias handling and skill `agents/openai.yaml` checks. - The validator keeps one intentional extra preflight rule: leftover `[TODO: ...]` placeholders are rejected before sharing even when a single placeholder would not independently violate backend type validation. - Repo-local creation stays possible, but it is now explicit instead of cwd-sensitive. ## Testing Tests: targeted Python syntax checks, plugin skill validation, staged diff whitespace validation, 15 generated plugin smoke runs, backend manifest-schema acceptance for all 15 generated bundles, and a git-repo cwd regression proving the creator still writes to the personal marketplace by default.
efrazer-oai ·
2026-05-18 11:22:42 -07:00 -
Upload rust full CI JUnit reports (#23273)
## Why `rust-ci-full` failures currently leave downstream investigation reconstructing basic test facts from raw logs. `cargo nextest` can emit standard JUnit XML for each lane, which gives us a small structured artifact for post-run failure analysis without changing the test execution model. ## What changed - enable nextest JUnit output in `codex-rs/.config/nextest.toml` - upload the lane-scoped JUnit XML artifact from each `rust-ci-full` test lane ## Verification - `rust-ci-full` run `26018931531` on head `52d77c60e79b36859d944ef28a36b014055c5c48` produced JUnit artifacts for macOS, Linux x64 remote, Windows x64, and Windows ARM64 test lanes - `rust-ci-full` run `26021241006` on the same head produced the missing Linux ARM JUnit artifact after the first run lost that runner before export - downloaded all five lane JUnit artifacts and verified each contains non-empty test counters and failure data
starr-openai ·
2026-05-18 11:10:37 -07:00 -
Simplify legacy Windows sandbox ACL persistence (#22569)
## Why The legacy Windows sandbox still carried a `persist_aces` mode switch, even though the only path that meaningfully applies filesystem ACEs today is `workspace-write`, which already uses the persistent behavior. Legacy read-only sessions rely on the read-only capability SID rather than per-command filesystem ACE mutation, so the temporary cleanup branch had become conceptual overhead without a corresponding behavioral need. Removing that split makes the ACL lifecycle match the current sandbox model more directly and trims the guard/revocation plumbing from the legacy launcher paths. ## What changed - Removed the `persist_aces` parameter from legacy ACL preparation. - Made legacy deny-read handling always use the persistent reconciliation path. - Dropped guard tracking and post-exit ACE revocation from both capture and unified-exec legacy flows. - Kept workspace `.codex` / `.agents` protection tied directly to `WorkspaceWrite` instead of an intermediate persistence flag. ## Verification - `cargo fmt -p codex-windows-sandbox` - `git diff --check` - `cargo test -p codex-windows-sandbox` - 85 passed, 2 ignored, 2 (unrelated) failed locally.
iceweasel-oai ·
2026-05-18 11:00:03 -07:00 -
Fix remote turn diff display roots (#23261)
## Why `TurnDiffTracker` computes a display root so turn diffs can be rendered repo-relative. For remote exec-server turns, the selected turn `cwd` may exist only inside the selected environment, but `run_turn` was discovering the git root through the local host filesystem. When that lookup failed, nested remote-session diffs fell back to the nested `cwd` and showed `/tmp/...`-prefixed paths instead of repo-relative paths. ## What changed - Resolve the diff display root from the primary selected turn environment when one exists, using that environment's filesystem and `cwd`. - Add `codex_git_utils::get_git_repo_root_with_fs(...)` so git-root discovery can run against an `ExecutorFileSystem`, including remote environments. - Reuse that helper from `resolve_root_git_project_for_trust(...)` and add coverage for `.git` gitdir-pointer detection. ## Validation - Devbox Bazel: `//codex-rs/core:core-unit-tests --test_filter=get_git_repo_root_with_fs_detects_gitdir_pointer` - Devbox Docker-backed remote-env repro: `//codex-rs/core:core-all-test --test_filter=apply_patch_turn_diff_paths_stay_repo_relative_when_session_cwd_is_nested`
starr-openai ·
2026-05-18 10:53:49 -07:00 -
fix(tui): show shutdown feedback on exit (#23323)
## Why Ctrl+C can take a noticeable amount of time to finish when the TUI is waiting for the app-server thread shutdown path to complete. Before this change, the UI could look like it had not accepted the shutdown request because the composer and cursor remained in their normal interactive state during that wait. This PR makes the accepted shutdown visible immediately. It does not add an artificial sleep or change the shutdown timeout; it only draws one final feedback frame before continuing through the existing shutdown flow. ## What Changed - On `ExitMode::ShutdownFirst`, the TUI now renders shutdown feedback before awaiting the existing thread shutdown future. - The bottom pane disables composer input, which hides the cursor through the existing disabled-input cursor path. - The composer shows `Shutting down...` as the disabled input hint and suppresses footer content so the shutdown acknowledgement is not competing with shortcut/status text. - The logout path uses the same feedback path before shutting down. ## How to Test 1. Start Codex from this branch. 2. Press `Ctrl+C` to request shutdown. 3. If shutdown takes long enough to observe, confirm the composer changes to `› Shutting down...`, the cursor disappears, and no footer hint is rendered below it. 4. Regression check: repeat with text already typed in the composer and confirm the visible row still switches to `Shutting down...` while the draft remains preserved internally until the process exits. Targeted tests: - `cargo test -p codex-tui shutdown_in_progress_disables_input_and_uses_hint_without_footer` - `cargo test -p codex-tui bottom_pane::footer::tests::` ## Local Validation Note `cargo test -p codex-tui` still aborts in `app::tests::discard_side_thread_removes_agent_navigation_entry` with a stack overflow. That same test also failed when run alone locally, and the failure appears unrelated to this shutdown feedback path.
Felipe Coury ·
2026-05-18 14:41:14 -03:00 -
windows: link MSVC release binaries with static CRT (#22905)
## Why Windows release artifacts currently import `VCRUNTIME140.dll` and `VCRUNTIME140_1.dll`. That becomes observable on clean Windows machines that do not already have the VC++ runtime available globally: - Desktop Store launches can fail after the app relocates `codex.exe` out of `WindowsApps`, which means an MSIX-level VCLibs dependency does not protect the relocated CLI/app-server process. - The npm CLI path reproduces the same missing-DLL startup failure when `System32\vcruntime140_1.dll` is hidden and `PATH` is stripped of incidental fallback copies. In that setup, the existing Windows binary exits with `0xC0000135` / `-1073741515` before Codex code runs. ## What changed - Add `-C target-feature=+crt-static` to the existing MSVC-only Cargo rustflags in `codex-rs/.cargo/config.toml`. - Preserve the existing `/STACK:8388608` linker setting in the same target block. This keeps the change scoped to Windows MSVC builds and avoids altering non-Windows or GNU target behavior. ## Verification I built an x64 Windows release probe with static CRT linkage and the normal 8 MiB stack reserve, then verified: - `dumpbin /dependents codex.exe` no longer reports `VCRUNTIME140.dll` or `VCRUNTIME140_1.dll`. - `dumpbin /headers codex.exe` reports `800000 size of stack reserve`. - With `System32\vcruntime140_1.dll` hidden and `PATH` stripped to Windows system directories only: - the old npm CLI path exits `-1073741515` - the rebuilt static-CRT `codex.exe --version` succeeds with exit code `0` - the rebuilt TUI starts successfully I also confirmed `codex.exe app-server --listen ws://127.0.0.1:0` starts and binds normally with the static-CRT artifact.
iceweasel-oai ·
2026-05-18 10:32:33 -07:00 -
jif-oai ·
2026-05-18 19:25:27 +02:00 -
[codex] Remove legacy shell output formatting paths (#22706)
## Why The client and tool pipeline still carried compatibility code for legacy structured shell output. Current shell and apply_patch responses are already plain text for model consumption, so keeping a JSON-serialization path plus shell-item rewrite logic makes the request formatter and tests preserve a format we do not need anymore. ## What Changed - Removed the client-side shell output rewrite from `core/src/client_common.rs`. - Removed the structured exec-output formatter and the shell `freeform` switch so tool emitters use one model-facing formatter. - Collapsed apply_patch/shell serialization tests around the remaining plain-text output expectations and removed duplicate one-variant parameterized cases. - Kept the `ApplyPatchModelOutput::ShellCommandViaHeredoc` compatibility input shape, but no longer treats it as a separate output-format mode. ## Validation - `cargo test -p codex-core client_common` - `cargo test -p codex-core shell_serialization` - `cargo test -p codex-core apply_patch_cli` - `just fix -p codex-core` ## Documentation No external Codex documentation update is needed.
pakrym-oai ·
2026-05-18 09:57:54 -07:00 -
[1 of 2] Optimize TUI startup terminal probes (#23175)
## Why Codex TUI startup still feels slower than 0.117.0 after the app-server move in 0.118.0. A visible chunk of launch-to-input latency comes from serial terminal startup probes: cursor position, keyboard enhancement support, and default foreground/background color queries can each wait on terminal responses before the first usable frame. Refs #16335. ## What This PR batches the terminal startup probes into one bounded probe. It also reuses the probed cursor position and default colors during TUI setup, fast-paths the primary-device-attributes fallback as keyboard enhancement unsupported, and keeps lightweight startup timing logs for future tuning. The startup telemetry is intentionally left in production: it records phase timings for terminal probes and initial-frame scheduling so future startup regressions can be diagnosed from normal logs rather than re-adding one-off debug instrumentation. ## Benchmark In the local pty startup benchmark, the pre-optimization `main` baseline was about 250.5ms median from launch to accepted chat input. This probe-only branch measured about 152ms median, for an approximate savings of 95-100ms. ## Stack 1. [#23175: [1 of 2] Optimize TUI startup terminal probes](https://github.com/openai/codex/pull/23175) — this PR 2. [#23176: [2 of 2] Start fresh TUI thread in background](https://github.com/openai/codex/pull/23176) — layered on this PR ## Verification - `cargo test -p codex-tui`
Eric Traut ·
2026-05-18 09:04:02 -07:00 -
Hide ChatGPT usage link for non-OpenAI status (#23127)
Addresses #22778 ## Summary Provider deployments such as Bedrock manage rate limits and billing outside ChatGPT, so the `/status` link to the ChatGPT usage page is irrelevant and confusing for those users. Custom providers that are explicitly configured to use OpenAI/ChatGPT auth still point at OpenAI-backed usage, so they should keep the link. ## Changes - Render the ChatGPT usage note only when the configured provider uses OpenAI auth. - Keep the note hidden when `/status` displays a provider such as Bedrock that manages limits elsewhere. - Add regression coverage for both Bedrock and a custom OpenAI-auth proxy provider. ## Manual Repro 1. Configure Codex with a non-OpenAI-auth provider, for example `model_provider = "amazon-bedrock"`. 2. Start the TUI and run `/status`. 3. Confirm the status card shows the custom provider, for example `Model provider: Amazon Bedrock`, and does not show `https://chatgpt.com/codex/settings/usage`. 4. Configure a custom provider that proxies to OpenAI and has OpenAI/ChatGPT auth enabled. 5. Run `/status` again and confirm the ChatGPT usage link appears for that OpenAI-auth provider.
Eric Traut ·
2026-05-18 09:02:38 -07:00 -
Fix TUI stream cleanup after turn errors (#23128)
## Summary Fixes #22726. After a Responses stream disconnect, the live TUI could keep accepting prompts while leaving partially streamed assistant output in its transient streaming-cell form. That made fenced diffs or SVG/XML-like content appear as raw transcript text until the user closed the TUI and resumed the same session, which rebuilt the transcript from saved history. This change finalizes the active answer stream before generic failed-turn cleanup clears the stream controller, so the live transcript takes the same source-backed markdown consolidation path as a successful turn. ## Reviewer repro 1. Start a local Codex TUI session. 2. Trigger an assistant turn that streams markdown content, especially a fenced diff or SVG/XML-like block. 3. Force or encounter a non-retry stream disconnect before the turn completes. 4. Continue using the same still-open TUI session. 5. Before this fix, the live history can stay raw/plain even though `codex resume` renders the same session normally. 6. After this fix, the failed-turn path consolidates the partial stream before rendering the error, so the live TUI keeps normal transcript rendering.
Eric Traut ·
2026-05-18 09:00:57 -07:00 -
Support --output-schema for exec resume (#23123)
## Why `codex exec resume` should have the same structured-output support as top-level `codex exec`. Without `--output-schema`, multi-turn automation has to choose between resumed session context and schema-validated JSON output. Fixes #22998. ## What changed - Marked `--output-schema` as a global `codex exec` flag so it can be passed after `resume`. - Reused the existing output schema plumbing so resumed turns attach the schema to the final response request while preserving session context.
Eric Traut ·
2026-05-18 08:55:22 -07:00 -
tui: keep cleared Fast tier from reappearing after side-thread resume (#23121)
## Why After turning Fast mode off in the TUI, returning from a side thread could make `Fast` appear again in the main chat widget. The opt-out itself was still persisted; the display was being rebuilt from stale cached `ThreadSessionState` data, which made it look like Fast had been re-enabled. Fixes #23104. ## What changed - Keep the active thread's cached `service_tier` in sync whenever the user persists a service-tier selection. - Update both the primary-thread snapshot and the thread event store so restored TUI state reflects the current tier. - Add a focused regression test for clearing a cached Fast tier. ## Manual repro 1. Start a TUI session where `Fast` is enabled by default. 2. Run `/fast` and turn Fast mode off. Confirm `Fast` disappears from the chat widget display. 3. Re-enter thread navigation via either path: - Run `/side test`, then return to the main thread. - Run `/agent`, enter a child thread, then return to the main thread. 4. Before this fix, `Fast` reappears in the main chat widget display even though the opt-out was already persisted. 5. After this fix, `Fast` stays cleared. ## Verification - `cargo test -p codex-tui app::thread_session_state::tests::service_tier_sync_updates_active_cached_session -- --exact`
Eric Traut ·
2026-05-18 08:52:18 -07:00 -
Emit goal update events from goal extension tools (#23306)
## Why Goal creation and completion are moving through the goal extension, but the rest of Codex still observes goal state through `ThreadGoalUpdated` events. Without an event from the extension-owned tool path, a model-initiated `create_goal` or `update_goal` can mutate the backend and return a tool result while app-server and TUI listeners miss the goal state transition. ## What changed - Added `GoalEventEmitter` as a small wrapper around the host `ExtensionEventSink` to build `EventMsg::ThreadGoalUpdated` events for goal updates. - Threaded the registry event sink into `GoalExtension` and the `GoalToolExecutor`s created by the extension. The public `GoalExtension::new` constructor keeps a `NoopExtensionEventSink` fallback for standalone use. - Emitted a goal update after successful `create_goal` and `update_goal` tool calls. Until `ToolCall` exposes the current turn submission id, these events use the tool call id as the event id and leave `turn_id` unset. Relevant code: - [`GoalEventEmitter::thread_goal_updated`](https://github.com/openai/codex/blob/1fe2d73890df9a50996f67f705d4da4cc3d4b866/codex-rs/ext/goal/src/events.rs#L19-L32) - [`GoalToolExecutor` emission points](https://github.com/openai/codex/blob/1fe2d73890df9a50996f67f705d4da4cc3d4b866/codex-rs/ext/goal/src/tool.rs#L161-L190) ## Testing - `cargo test -p codex-goal-extension`
jif-oai ·
2026-05-18 16:14:37 +02:00 -
chore: make token usage async (#23305)
Make the `TokenUsageContributor` async. This will be required for future extension and it's basically free
jif-oai ·
2026-05-18 15:59:06 +02:00 -
chore: goal resumed metrics (#23301)
Add metrics for goal resume
jif-oai ·
2026-05-18 15:19:23 +02:00 -
chore: isolate thread goal storage behind GoalStore (#23295)
## Why Thread goal persistence is being prepared for a dedicated storage boundary. Before that split, goal-specific reads, writes, accounting, and cleanup were exposed directly on `StateRuntime`, so core and app-server callsites stayed coupled to the full runtime instead of a goal-specific store. This PR introduces that boundary without changing the goal wire API or current persistence behavior. Callers now go through `StateRuntime::thread_goals()` and the new `GoalStore`, while `GoalStore` still uses the existing state DB pool underneath. ## What changed - Added `GoalStore` in `state/src/runtime/goals.rs` and exposed it from `StateRuntime` via `thread_goals()`. - Moved thread-goal reads, writes, status updates, pause, delete, and usage accounting onto `GoalStore`. - Updated core session goal handling, app-server goal RPCs, resume snapshots, and goal tests to use the store boundary. - Kept thread deletion responsible for cascading goal cleanup by deleting the goal through the store only after a thread row is removed. ## Testing - Existing goal persistence, resume, and accounting tests were updated to exercise the new `GoalStore` access path.
jif-oai ·
2026-05-18 14:47:05 +02:00 -
feat: add extension event sink capability (#23293)
## Why Extensions can already expose typed contributions and receive host capabilities such as `AgentSpawner`, but they do not have a typed way to send protocol events back through the host. Extensions that need to surface progress or status should not have to own persistence, ordering, transport fanout, or logging decisions themselves. ## What - Add `ExtensionEventSink`, a host-provided fire-and-forget sink for `codex_protocol::protocol::Event`. - Add `NoopExtensionEventSink` so hosts that do not expose extension event emission keep the existing empty-registry behavior. - Store the sink on `ExtensionRegistryBuilder` / `ExtensionRegistry`, with `with_event_sink(...)` and `event_sink()` accessors, and re-export the new capability from `codex-extension-api`. ## Testing - Not run locally; PR metadata/body update only.
jif-oai ·
2026-05-18 14:08:56 +02:00 -
Make extension lifecycle hooks async (#23291)
## Why Extension lifecycle hooks sit on the host/extension boundary, but the current trait surface only allows synchronous callbacks. That forces extensions that need to seed, rehydrate, observe, or flush extension-owned state during thread and turn transitions to either block inside the callback or move async work into separate host plumbing. This PR makes those lifecycle callbacks awaitable so extension implementations can perform async work directly at the lifecycle point where the host already has the relevant session, thread, or turn stores available. ## What changed - Makes `ThreadLifecycleContributor` and `TurnLifecycleContributor` async in `codex-extension-api`. - Awaits thread start/resume/stop and turn start/stop/abort lifecycle callbacks from `codex-core`. - Updates the guardian and memories extensions to implement the async lifecycle trait surface. - Updates the existing lifecycle tests to use async contributor implementations. - Adds `async-trait` to the crates that now expose or implement these async object-safe lifecycle traits. ## Testing - Existing `codex-core` lifecycle tests were updated to cover async implementations for thread stop and turn abort ordering.
jif-oai ·
2026-05-18 13:53:58 +02:00 -
chore: goal ext skeleton (#23288)
Skeleton of `/goal` in extension Lot's of follow-ups coming
jif-oai ·
2026-05-18 13:32:21 +02:00 -
[codex] Add installed-plugin mention API (#22448)
## Summary - add app-server `plugin/installed` for mention-oriented plugin loading - return installed plugins plus explicitly requested install-suggestion rows - keep remote handling on installed-state data instead of the broad catalog listing path ## Why The `@` mention surface only needs plugins that are usable now, plus a small product-approved set of install suggestions. It does not need the full catalog-shaped `plugin/list` payload that the Plugins page uses. ## Validation - `just write-app-server-schema` - `just fmt` - `cargo test -p codex-app-server-protocol` - `cargo test -p codex-core-plugins` - `cargo test -p codex-app-server --test all plugin_installed_` ## Notes - The package-wide `cargo test -p codex-app-server` run still hits an existing unrelated stack overflow in `in_process::tests::in_process_start_clamps_zero_channel_capacity`. - Companion webview PR: https://github.com/openai/openai/pull/915672
xli-oai ·
2026-05-18 03:11:54 -07:00 -
Densify and version memory summaries (#23148)
## Why `memory_summary.md` is injected into every session, so its value depends on staying compact, navigational, and easy to regenerate when the expected shape changes. The previous consolidation prompt encouraged a broad actionable inventory and allowed older summary structures to be patched in place, which makes it easier for stale or overly verbose summaries to keep accumulating. This change makes the summary format explicitly versioned and biases Phase 2 memory consolidation toward denser prompt-loaded context. ## What changed - Require `memory_summary.md` to begin with an exact `v1` header. - Teach consolidation to regenerate `memory_summary.md` from scratch when the header is missing or incompatible, while still allowing incremental updates to `MEMORY.md`. - Tighten the `memory_summary.md` instructions so it acts as a compact routing/index layer instead of a second handbook. - Lower `MEMORY_TOOL_DEVELOPER_INSTRUCTIONS_SUMMARY_TOKEN_LIMIT` from `5_000` to `2_500` so the runtime prompt budget matches the denser summary target. ## Verification Not run; this is a prompt/template update plus a prompt budget constant change.
jif-oai ·
2026-05-18 09:59:34 +02:00 -
Add exec-server websocket keepalive (#23226)
## Summary - send periodic websocket Ping frames from outbound exec-server websocket clients - cover direct exec-server websocket clients plus rendezvous harness/executor websocket connections - keep inbound axum-accepted exec-server websocket connections passive - add focused keepalive coverage for direct and relay websocket paths ## Validation - /Users/starr/code/openai/project/dotslash-gen/bin/bazel test //codex-rs/exec-server:exec-server-unit-tests --test_filter='websocket_connection_sends_keepalive_ping|harness_connection_sends_keepalive_ping|multiplexed_executor_sends_keepalive_ping' - /Users/starr/code/openai/project/dotslash-gen/bin/bazel test //codex-rs/exec-server:exec-server-relay-test --test_filter=multiplexed_remote_executor_routes_independent_virtual_streams
starr-openai ·
2026-05-18 03:07:32 +00:00 -
[codex] Accept string input for Python turns (#23162)
## Summary - Allow thread.turn and turn.steer, including async variants, to accept RunInput so plain strings work alongside typed input objects. - Export RunInput and update the SDK artifact generator so regenerated turn methods keep the same signature and normalization. - Update docs, examples, notebook cells, and tests to use string shorthand for text-only turns while keeping typed inputs for multimodal input. ## Validation - uv run --extra dev ruff format . - uv run --extra dev ruff check --output-format=github . - python3 -m py_compile sdk/python/src/openai_codex/__init__.py sdk/python/src/openai_codex/api.py sdk/python/src/openai_codex/_inputs.py sdk/python/scripts/update_sdk_artifacts.py sdk/python/tests/test_public_api_signatures.py sdk/python/tests/test_app_server_streaming.py sdk/python/tests/test_app_server_turn_controls.py sdk/python/tests/test_real_app_server_integration.py - python3 -c "import json; json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))" - sdk/python/.venv/bin/python -c "import inspect, openai_codex; from openai_codex import Thread, AsyncThread, TurnHandle, AsyncTurnHandle, RunInput; funcs=[Thread.run, Thread.turn, AsyncThread.run, AsyncThread.turn, TurnHandle.steer, AsyncTurnHandle.steer]; assert all(inspect.signature(fn).parameters['input'].annotation == 'RunInput' for fn in funcs); assert RunInput is openai_codex.RunInput"Ahmed Ibrahim ·
2026-05-17 09:05:44 -07:00 -
test: reduce core sandbox policy test setup (#23036)
## Why `SandboxPolicy` is a legacy compatibility shape, but several core tests still used it for ordinary turn setup even when the runtime path now carries `PermissionProfile`. With the first cleanup PR merged, this follow-up trims more core test scaffolding so remaining `SandboxPolicy` matches are easier to classify as production compatibility, legacy-boundary coverage, or explicit conversion tests. ## What Changed - Updated apply-patch handler and runtime tests to pass `PermissionProfile` directly. - Changed sandboxing test helpers to build permission profiles without first creating `SandboxPolicy` values. - Converted request-permissions integration turns to pass `PermissionProfile` through the test helper, leaving legacy sandbox projection at the `Op::UserTurn` boundary. - Converted unified exec integration helpers and direct turn submissions to use `PermissionProfile` values instead of `SandboxPolicy` setup. - Removed now-unused `SandboxPolicy` imports from the touched core tests. ## Test Plan - `just fmt` - `cargo test -p codex-core --lib tools::sandboxing::tests` - `cargo test -p codex-core --lib tools::runtimes::apply_patch::tests` - `cargo test -p codex-core --lib tools::handlers::apply_patch::tests` - `cargo test -p codex-core --lib unified_exec::process_manager::tests` - `cargo test -p codex-core --test all request_permissions::` - `cargo test -p codex-core --test all unified_exec::` - `just fix -p codex-core`
Michael Bolin ·
2026-05-17 08:39:41 -07:00 -
Make multi-agent v2 tool namespace configurable (#23147)
## Summary - Add `features.multi_agent_v2.tool_namespace` with config/schema validation for Responses-compatible namespace values. - Thread the resolved namespace into `ToolsConfig` for normal turns and review turns. - Wrap MultiAgentV2 tool specs and registry names in the configured namespace when namespace tools are supported, while falling back to the plain tool names when they are not. ## Validation - `just fmt` - `just write-config-schema` - `cargo test -p codex-features multi_agent_v2_feature_config -- --nocapture` - `cargo test -p codex-core test_build_specs_multi_agent_v2 -- --nocapture` - `cargo test -p codex-core multi_agent_v2_config -- --nocapture` - `cargo test -p codex-core multi_agent_v2_rejects_invalid_tool_namespace -- --nocapture` - `cargo test -p codex-tools` - `git diff --check`
jif-oai ·
2026-05-17 15:27:43 +02:00 -
[codex] Return TurnResult from Python turn handles (#23151)
## Why `TurnHandle.run()` returned the raw app-server `Turn`, whose live start/completed payloads do not include loaded `items`, so users saw empty `items` after starting a turn. That made the handle-based path behave differently from `Thread.run(...)`, and pushed examples toward persisted-thread reads plus helper extraction. This PR makes the run APIs standalone: starting a turn and running it returns collected turn data directly, or fails visibly when required stream events are missing. ## What Changed - Replaces the public `RunResult` export with `TurnResult`. - Adds turn metadata to `TurnResult`: `id`, `status`, `error`, `started_at`, `completed_at`, and `duration_ms`, alongside `final_response`, `items`, and `usage`. - Changes `TurnHandle.run()` and `AsyncTurnHandle.run()` to consume stream events with the same collector used by `Thread.run(...)`. - Exports `TurnError` from `openai_codex.types` for the new result shape. - Updates tests, examples, docs, and the walkthrough notebook to use `result.final_response` and `result.items` directly. - Removes persisted-thread helper paths and placeholder/skipped control flows from the public examples and notebook. ## Verification - `python3 -m py_compile ...` over changed SDK, example, and test Python files. - `python3 -c "import json; json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))"` - `git diff --check` - `PYTHONPATH=sdk/python/src python3 -c ...` import/signature smoke for `TurnResult`, `TurnHandle.run`, and `AsyncTurnHandle.run`.Ahmed Ibrahim ·
2026-05-17 06:17:22 -07:00 -
sdk/python: add first-class login support (#23093)
## Why The Python SDK can already create threads and run turns, but authentication still has to be arranged outside the SDK. App-server already exposes account login, account inspection, logout, and `account/login/completed` notifications, so SDK users currently have to work around a missing public client layer for a core setup step. This change makes authentication a normal SDK workflow while preserving the backend flow shape: API-key login completes immediately, and interactive ChatGPT flows return live handles that complete later through app-server notifications. ## What changed - Added public sync and async auth methods on `Codex` / `AsyncCodex`: - `login_api_key(...)` - `login_chatgpt()` - `login_chatgpt_device_code()` - `account(...)` - `logout()` - Added public browser-login and device-code handle types with attempt-local `wait()` and `cancel()` helpers. Cancellation stays on the handle instead of a root-level SDK method. - Extended the Python app-server client and notification router so login completion events are routed by `login_id` without consuming unrelated global notifications. - Kept login request/handle logic in a focused internal `_login.py` module so `api.py` remains the public facade instead of absorbing more auth plumbing. - Exported the new handle types plus curated account/login response types from the SDK surfaces. - Updated SDK docs, added sync/async login walkthrough examples, and added a notebook login walkthrough cell. ## Verification Added SDK coverage for: - API-key login, account readback, and logout through the app-server harness in both sync and async clients. - Browser login cancellation plus `handle.wait()` completion through the real app-server boundary used by the Python SDK harness. - Waiter routing that stays scoped across replaced interactive login attempts, plus async handle cancellation coverage. - Login notification demuxing, replay of early completion events, and async client delegation. - Public export/signature assertions. - Real integration-suite smoke coverage for the new examples and notebook login cell.
Ahmed Ibrahim ·
2026-05-16 19:49:28 -07:00 -
[1 of 4] tui: route primary settings writes through app server (#22913)
## Why The TUI can run against a remote app server, but several high-traffic settings still persisted by editing the local config file. That sends remote sessions' preference writes to the wrong machine and lets local disk state drift from the app-server-owned config. This is **[1 of 4]** in a stacked series that moves TUI-owned config mutations onto app-server APIs. ## What changed - Added a small TUI helper for typed app-server config writes. - Routed primary interactive preference writes through `config/batchWrite`. - Preserved existing profile scoping for settings that already support `profiles.<profile>.*` overrides. ## Config keys affected - `model` - `model_reasoning_effort` - `personality` - `service_tier` - `plan_mode_reasoning_effort` - `approvals_reviewer` - `notice.fast_default_opt_out` - Profile-scoped equivalents under `profiles.<profile>.*` ## Suggested manual validation - Connect the TUI to a remote app server, change `model` and `model_reasoning_effort`, reconnect, and confirm the remote config retained both values while the local `config.toml` did not change. - Change `personality`, `plan_mode_reasoning_effort`, and the explicit auto-review selection, then reconnect and confirm those choices persist through the app server. - Clear the service tier back to default and confirm `service_tier` is cleared while `notice.fast_default_opt_out = true` is persisted remotely. - Repeat one setting change with an active profile and confirm the write lands under `profiles.<profile>.*`. ## Stack 1. [#22913](https://github.com/openai/codex/pull/22913) `[1 of 4]` primary settings writes 2. [#22914](https://github.com/openai/codex/pull/22914) `[2 of 4]` app and skill enablement 3. [#22915](https://github.com/openai/codex/pull/22915) `[3 of 4]` feature and memory toggles 4. [#22916](https://github.com/openai/codex/pull/22916) `[4 of 4]` startup and onboarding bookkeeping
Eric Traut ·
2026-05-16 14:27:02 -07:00 -
multiagent: trim model-visible description, cap to 5 models (#23069)
## Why The `spawn_agent` model override guidance is uncapped and bloating context. We need to trim down each entry and cap total entries. picked 5 as cap, we can change ## What changed - Cap the model override summaries shown in `spawn_agent` to the first 5 picker-visible models, preserving the existing priority ordering from the models manager. - Condense each rendered entry to the actionable pieces the model needs: - use the model slug as the label - render compact reasoning effort lists with the default marked inline - render only service tier IDs, and omit the clause when no tiers are available - Update coverage so the compact formatter shape and the top-5 cap are exercised, and keep the end-to-end request assertion aligned with real model metadata. ## Example Before: `- gpt-5.4 ('gpt-5.4\'): Strong model for everyday coding. Default reasoning effort: medium. Supported reasoning efforts: low (Fast responses with lighter reasoning), medium (Balances speed and reasoning depth for everyday tasks), high (Greater reasoning depth for complex problems), xhigh (Extra high reasoning depth for complex problems). Supported service tiers: priority (Fast: 1.5x speed, increased usage).` After: `- 'gpt-5.4': Strong model for everyday coding. Reasoning efforts: low, medium (default), high, xhigh. Service tiers: priority.`sayan-oai ·
2026-05-16 13:43:30 -07:00 -
[codex] preserve MCP result meta in McpToolCallItemResult (#22946)
## Summary https://openai.slack.com/archives/C0ARA9UAQEA/p1778890981647319?thread_ts=1778888537.934319&cid=C0ARA9UAQEA - Add `_meta` to exec JSONL MCP tool call result events. - Copy MCP result metadata through the JSONL event conversion. - Add a focused test that verifies `_meta` is serialized as `_meta` and not `meta`. ## Verification https://www.notion.so/openai/Miaolin-0516-_meta-population-debug-3628e50b62b08074b365e0ce1ffb8f74
Miaolin Min ·
2026-05-16 13:27:44 -07:00 -
exec-server: support auth-backed remote executor registration (#22769)
This updates remote `exec-server` registration to use normal Codex auth instead of a registry-issued credential. The registry request is built from the existing auth-provider path, which preserves the biscuit-only registry contract introduced in [openai/openai#924101](https://github.com/openai/openai/pull/924101) while removing the old remote registry bearer env var and its direct transport assumptions. The default remote flow uses persisted ChatGPT auth from the normal Codex config/storage path. This PR also includes the containerized Agent Identity path needed by [openai/openai#924260](https://github.com/openai/openai/pull/924260): remote `exec-server` accepts `--allow-agent-identity-auth`, permits Agent Identity auth loaded from `CODEX_ACCESS_TOKEN` only when that flag is present, and reuses the existing Agent task registration plus derived `AgentAssertion` header generation. API-key auth remains unsupported, and Agent Identity stays opt-in. Validation performed beyond normal presubmit coverage: - `cargo fmt --all --check` - `cargo check -p codex-cli` - `cargo test -p codex-exec-server` - `cargo test -p codex-cli exec_server_agent_identity_auth_flag_` - `cargo test -p codex-cli remote_exec_server_auth_mode_` I also attempted `cargo test -p codex-cli`. The new CLI tests passed inside that run, but the suite ended on an unrelated local marketplace-state failure in `plugin_list_excludes_unconfigured_repo_local_marketplaces`.
Michael Zeng ·
2026-05-16 12:48:28 -07:00 -
test: construct permission profiles directly (#23030)
## Why `SandboxPolicy` is now a legacy compatibility shape, but several tests still built a `SandboxPolicy` only to immediately convert it into `PermissionProfile` for APIs that already accept canonical runtime permissions. Those detours make it harder to audit where legacy sandbox policy is still required, because boundary-only usages are mixed together with ordinary test setup. ## What Changed - Updated tests in `codex-core`, `codex-exec`, `codex-analytics`, and `codex-config` to construct `PermissionProfile` values directly when the code under test takes a permission profile. - Changed exec-policy, request-permissions, session, and sandbox test helpers to pass `PermissionProfile` through instead of converting from `SandboxPolicy` internally. - Left `SandboxPolicy` in place where tests are explicitly exercising legacy compatibility or request/response boundaries. ## Test Plan - `cargo test -p codex-analytics -p codex-config` - `cargo test -p codex-core --lib safety::tests` - `cargo test -p codex-core --lib exec_policy::tests::` - `cargo test -p codex-core --lib exec::tests` - `cargo test -p codex-core --lib guardian_review_session_config` - `cargo test -p codex-core --lib tools::network_approval::tests` - `cargo test -p codex-core --lib tools::runtimes::shell::unix_escalation::tests` - `cargo test -p codex-core --lib managed_network` - `cargo test -p codex-core --test all request_permissions::` - `cargo test -p codex-exec sandbox` --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/openai/codex/pull/23030). * #23036 * __->__ #23030
Michael Bolin ·
2026-05-16 12:12:37 -07:00 -
Improve goal completion usage reporting (#22907)
## Why Goal completion follow-up turns currently receive a preformatted English usage sentence such as `time used: 2586 seconds`. That nudges the model to echo an awkward raw seconds count in the final reply, even though the tool result already exposes structured usage fields like `goal.timeUsedSeconds`, `goal.tokensUsed`, and `goal.tokenBudget`. ## What changed - Replace the preformatted completion usage sentence with guidance to read the structured goal fields from the tool result. - Preserve token-budget reporting while allowing the model to phrase elapsed time in a concise, human-friendly way that fits the response language. - Update core coverage for both the generated completion guidance and the session flow that forwards it back to the model. ## Verification Previously, it would have output a final message indicating that it "worked for 303 seconds". Now it shows the following: <img width="286" height="35" alt="image" src="https://github.com/user-attachments/assets/d7011880-9449-46a7-856f-4e50ae00eb45" />
Eric Traut ·
2026-05-16 11:49:40 -07:00