Commit graph

163 commits

Author SHA1 Message Date
xl-openai
da3869eeb6
Support SYSTEM skills. (#8220)
1. Remove PUBLIC skills and introduce SYSTEM skills embedded in the
binary and installed into $CODEX_HOME/skills/.system at startup.
2. Skills are now always enabled (feature flag removed).
3. Update skills/list to accept forceReload and plumb it through (not
used by clients yet).
2025-12-17 18:48:28 -08:00
Michael Bolin
a8797019a1
chore: cleanup Config instantiation codepaths (#8226)
This PR does various types of cleanup before I can proceed with more
ambitious changes to config loading.

First, I noticed duplicated code across these two methods:


774bd9e432/codex-rs/core/src/config/mod.rs (L314-L324)


774bd9e432/codex-rs/core/src/config/mod.rs (L334-L344)

This has now been consolidated in
`load_config_as_toml_with_cli_overrides()`.

Further, I noticed that `Config::load_with_cli_overrides()` took two
similar arguments:


774bd9e432/codex-rs/core/src/config/mod.rs (L308-L311)

The difference between `cli_overrides` and `overrides` was not
immediately obvious to me. At first glance, it appears that one should
be able to be expressed in terms of the other, but it turns out that
some fields of `ConfigOverrides` (such as `cwd` and
`codex_linux_sandbox_exe`) are, by design, not configurable via a
`.toml` file or a command-line `--config` flag.

That said, I discovered that many callers of
`Config::load_with_cli_overrides()` were passing
`ConfigOverrides::default()` for `overrides`, so I created two separate
methods:

- `Config::load_with_cli_overrides(cli_overrides: Vec<(String,
TomlValue)>)`
- `Config::load_with_cli_overrides_and_harness_overrides(cli_overrides:
Vec<(String, TomlValue)>, harness_overrides: ConfigOverrides)`

The latter has a long name, as it is _not_ what should be used in the
common case, so the extra typing is designed to draw attention to this
fact. I tried to update the existing callsites to use the shorter name,
where possible.

Further, in the cases where `ConfigOverrides` is used, usually only a
limited subset of fields are actually set, so I updated the declarations
to leverage `..Default::default()` where possible.
2025-12-17 18:01:17 -08:00
Ahmed Ibrahim
774bd9e432
feat: model picker (#8209)
# 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.
2025-12-17 16:12:35 -08:00
Ahmed Ibrahim
927a6acbea
Load models from static file (#8153)
- Load models from static file as a fallback
- Make API users use this file directly
- Add tests to make sure updates to the file always serialize
2025-12-17 14:34:13 -08:00
Shijie Rao
df35189366
feat: make list_models non-blocking (#8198)
### Summary
* Make `app_server.list_models` to be non-blocking and consumers (i.e.
extension) can manage the flow themselves.
* Force config to use remote models and therefore fetch codex-auto model
list.
2025-12-17 12:13:16 -08:00
Shijie Rao
3702793882
chore: update listMcpServerStatus to be non-blocking (#8151)
### Summary
* Update `listMcpServerStatus` to be non-blocking by wrapping it with
tokio:spawn.
2025-12-17 10:11:02 -08:00
Michael Bolin
de3fa03e1c
feat: change ConfigLayerName into a disjoint union rather than a simple enum (#8095)
This attempts to tighten up the types related to "config layers."
Currently, `ConfigLayerEntry` is defined as follows:


bef36f4ae7/codex-rs/core/src/config_loader/state.rs (L19-L25)

but the `source` field is a bit of a lie, as:

- for `ConfigLayerName::Mdm`, it is
`"com.openai.codex/config_toml_base64"`
- for `ConfigLayerName::SessionFlags`, it is `"--config"`
- for `ConfigLayerName::User`, it is `"config.toml"` (just the file
name, not the path to the `config.toml` on disk that was read)
- for `ConfigLayerName::System`, it seems like it is usually
`/etc/codex/managed_config.toml` in practice, though on Windows, it is
`%CODEX_HOME%/managed_config.toml`:


bef36f4ae7/codex-rs/core/src/config_loader/layer_io.rs (L84-L101)

All that is to say, in three out of the four `ConfigLayerName`, `source`
is a `PathBuf` that is not an absolute path (or even a true path).

This PR tries to uplevel things by eliminating `source` from
`ConfigLayerEntry` and turning `ConfigLayerName` into a disjoint union
named `ConfigLayerSource` that has the appropriate metadata for each
variant, favoring the use of `AbsolutePathBuf` where appropriate:

```rust
pub enum ConfigLayerSource {
    /// Managed preferences layer delivered by MDM (macOS only).
    #[serde(rename_all = "camelCase")]
    #[ts(rename_all = "camelCase")]
    Mdm { domain: String, key: String },
    /// Managed config layer from a file (usually `managed_config.toml`).
    #[serde(rename_all = "camelCase")]
    #[ts(rename_all = "camelCase")]
    System { file: AbsolutePathBuf },
    /// Session-layer overrides supplied via `-c`/`--config`.
    SessionFlags,
    /// User config layer from a file (usually `config.toml`).
    #[serde(rename_all = "camelCase")]
    #[ts(rename_all = "camelCase")]
    User { file: AbsolutePathBuf },
}
```
2025-12-17 08:13:59 -08:00
Celia Chen
70913effc3
[app-server] add new RawResponseItem v2 event (#8152)
``codex/event/raw_response_item` (v1) -> `rawResponseItem/completed`
(v1).

test client log:
````
< {
<   "method": "codex/event/raw_response_item",
<   "params": {
<     "conversationId": "019b29f7-b089-7140-a535-3fe681562c15",
<     "id": "0",
<     "msg": {
<       "item": {
<         "arguments": "{\"command\":\"sed -n '1,160p' Cargo.toml\",\"workdir\":\"/Users/celia/code/codex/codex-rs\"}",
<         "call_id": "call_DrqbdB2jPxezPWc19YVEEt3h",
<         "name": "shell_command",
<         "type": "function_call"
<       },
<       "type": "raw_response_item"
<     }
<   }
< }
< {
<   "method": "rawResponseItem/completed",
<   "params": {
<     "item": {
<       "arguments": "{\"command\":\"sed -n '1,160p' Cargo.toml\",\"workdir\":\"/Users/celia/code/codex/codex-rs\"}",
<       "call_id": "call_DrqbdB2jPxezPWc19YVEEt3h",
<       "name": "shell_command",
<       "type": "function_call"
<     },
<     "threadId": "019b29f7-b089-7140-a535-3fe681562c15",
<     "turnId": "0"
<   }
< }
```
2025-12-17 02:19:30 +00:00
Shijie Rao
600d01b33a
chore: update listMcpServers to listMcpServerStatus (#8114)
### Summary
* rename app server `listMcpServers` to `listMcpServerStatuses`.
2025-12-16 15:28:45 -08:00
Owen Lin
412dd37956
chore(app-server): remove stubbed thread/compact API (#8086)
We want to rely on server-side auto-compaction instead of having the
client trigger context compaction manually. This API was stubbed as a
placeholder and never implemented.
2025-12-16 01:11:01 +00:00
iceweasel-oai
b4635ccc07
better name for windows sandbox features (#8077)
`--enable enable...` is a bad look
2025-12-15 10:15:40 -08:00
xl-openai
5d77d4db6b
Reimplement skills loading using SkillsManager + skills/list op. (#7914)
refactor the way we load and manage skills:
1. Move skill discovery/caching into SkillsManager and reuse it across
sessions.
2. Add the skills/list API (Op::ListSkills/SkillsListResponse) to fetch
skills for one or more cwds. Also update app-server for VSCE/App;
3. Trigger skills/list during session startup so UIs preload skills and
handle errors immediately.
2025-12-14 09:58:17 -08:00
Anton Panasenko
ad7b9d63c3
[codex] add otel tracing (#7844) 2025-12-12 17:07:17 -08:00
Michael Bolin
b1905d3754
fix: added test helpers for platform-specific paths (#7954)
This addresses post-merge feedback from
https://github.com/openai/codex/pull/7856.
2025-12-13 00:14:12 +00:00
Michael Bolin
642b7566df
fix: introduce AbsolutePathBuf as part of sandbox config (#7856)
Changes the `writable_roots` field of the `WorkspaceWrite` variant of
the `SandboxPolicy` enum from `Vec<PathBuf>` to `Vec<AbsolutePathBuf>`.
This is helpful because now callers can be sure the value is an absolute
path rather than a relative one. (Though when using an absolute path in
a Seatbelt config policy, we still have to _canonicalize_ it first.)

Because `writable_roots` can be read from a config file, it is important
that we are able to resolve relative paths properly using the parent
folder of the config file as the base path.
2025-12-12 15:25:22 -08:00
jif-oai
92098d36e8
feat: clean config loading and config api (#7924)
Check the README of the `config_loader` for details
2025-12-12 12:01:24 -08:00
Ahmed Ibrahim
149696d959
chores: models manager (#7937) 2025-12-12 18:59:39 +00:00
Shijie Rao
163a7e317e
feat: use latest disk value for mcp servers status (#7907)
### Summary
Instead of stale in memory config value for listing mcp server statuses,
we pull the latest disk value.
2025-12-11 18:56:55 -08:00
Victor Vannara
95f7d37ec6
Fix misleading 'maximize' high effort description on xhigh models (#7874)
## Notes
- switch misleading High reasoning effort descriptions from "Maximizes
reasoning depth" to "Higher reasoning depth" across models with xhigh
reasoning. Affects GPT-5.1 Codex Max and Robin
- refresh model list fixtures and chatwidget snapshots to match new copy

## Revision
- R2: Change 'Higher' to 'Greater'
- R1: Initial

## Testing

<img width="583" height="142" alt="image"
src="https://github.com/user-attachments/assets/1ddd8971-7841-4cb3-b9ba-91095a7435d2"
/>

<img width="838" height="142" alt="image"
src="https://github.com/user-attachments/assets/79aaedbf-7624-4695-b822-93dea7d6a800"
/>
2025-12-11 16:38:52 -08:00
Ahmed Ibrahim
b7fa7ca8e9
Update Model Info (#7853) 2025-12-11 14:06:07 -08:00
Ahmed Ibrahim
238ce7dfad
feat: robin (#7882)
<img width="554" height="554" alt="image"
src="https://github.com/user-attachments/assets/aa86f4c8-fb34-4b0e-8b03-3a9980dfdb08"
/>

---------

Co-authored-by: Dylan Hurd <dylan.hurd@openai.com>
2025-12-11 09:04:08 -08:00
jif-oai
29381ba5c2
feat: add shell snapshot for shell command (#7786) 2025-12-11 13:46:43 +00:00
Dylan Hurd
dca7f4cb60
fix(stuff) (#7855)
Co-authored-by: Ahmed Ibrahim <aibrahim@openai.com>
2025-12-11 00:39:47 -08:00
Celia Chen
ce19dbbb22
[app-server] Update readme to include mcp endpoints (#7850)
n/a
2025-12-11 01:08:31 +00:00
Celia Chen
7cabe54fc7
[app-server] make app server not throw error when login id is not found (#7831)
Our previous design of cancellation endpoint is not idempotent, which
caused a bunch of flaky tests. Make app server just returned a not_found
status instead of throwing an error if the login id is not found. Keep
V1 endpoint behavior the same.
2025-12-10 16:19:40 -08:00
Javi
e2559ab28d
fix: thread/list returning fewer than the requested amount due to filtering CXA-293 (#7509)
This caused some conversations to not appear when they otherwise should.

Prior to this change, `thread/list`/`list_conversations_common` would:
- Fetch N conversations from `RolloutRecorder::list_conversations`
- Then it would filter those (like by the provided `model_providers`)
- This would make it potentially return less than N items.

With this change:
- `list_conversations_common` now continues fetching more conversations
from `RolloutRecorder::list_conversations` until it "fills up" the
`requested_page_size`.
- Ultimately this means that clients can rely on getting eg 20
conversations if they request 20 conversations.
2025-12-10 23:06:32 +00:00
Celia Chen
bfb4d5710b
[app-server-protocol] Add types for config (#7658)
Currently the config returned by `config/read` in untyped. Add types so
it's easier for client to parse the config. Since currently configs are
all defined in snake case we'll keep that instead of using camel case
like the rest of V2.

Sample output by testing using the app server test client:
```
{
<   "id": "f28449f4-b015-459b-b07b-eef06980165d",
<   "result": {
<     "config": {
<       "approvalPolicy": null,
<       "compactPrompt": null,
<       "developerInstructions": null,
<       "features": {
<         "experimental_use_rmcp_client": true
<       },
<       "forcedChatgptWorkspaceId": null,
<       "forcedLoginMethod": null,
<       "instructions": null,
<       "model": "gpt-5.1-codex-max",
<       "modelAutoCompactTokenLimit": null,
<       "modelContextWindow": null,
<       "modelProvider": null,
<       "modelReasoningEffort": null,
<       "modelReasoningSummary": null,
<       "modelVerbosity": null,
<       "model_providers": {
<         "local": {
<           "base_url": "http://localhost:8061/api/codex",
<           "env_http_headers": {
<             "ChatGPT-Account-ID": "OPENAI_ACCOUNT_ID"
<           },
<           "env_key": "CHATGPT_TOKEN_STAGING",
<           "name": "local",
<           "wire_api": "responses"
<         }
<       },
<       "model_reasoning_effort": "medium",
<       "notice": {
<         "hide_gpt-5.1-codex-max_migration_prompt": true,
<         "hide_gpt5_1_migration_prompt": true
<       },
<       "profile": null,
<       "profiles": {},
<       "projects": {
<         "/Users/celia/code": {
<           "trust_level": "trusted"
<         },
<         "/Users/celia/code/codex": {
<           "trust_level": "trusted"
<         },
<         "/Users/celia/code/openai": {
<           "trust_level": "trusted"
<         }
<       },
<       "reviewModel": null,
<       "sandboxMode": null,
<       "sandboxWorkspaceWrite": null,
<       "tools": {
<         "viewImage": null,
<         "webSearch": null
<       }
<     },
<     "origins": {
<       "features.experimental_use_rmcp_client": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model_providers.local.base_url": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model_providers.local.env_http_headers.ChatGPT-Account-ID": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model_providers.local.env_key": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model_providers.local.name": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model_providers.local.wire_api": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "model_reasoning_effort": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "notice.hide_gpt-5.1-codex-max_migration_prompt": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "notice.hide_gpt5_1_migration_prompt": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "projects./Users/celia/code.trust_level": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "projects./Users/celia/code/codex.trust_level": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "projects./Users/celia/code/openai.trust_level": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       },
<       "tools.web_search": {
<         "name": "user",
<         "source": "/Users/celia/.codex/config.toml",
<         "version": "sha256:a1d8eaedb5d9db5dfdfa69f30fa9df2efec66bb4dd46aa67f149fcc67cd0711c"
<       }
<     }
<   }
< }
```
2025-12-10 21:35:31 +00:00
Ahmed Ibrahim
cb9a189857
make model optional in config (#7769)
- Make Config.model optional and centralize default-selection logic in
ModelsManager, including a default_model helper (with
codex-auto-balanced when available) so sessions now carry an explicit
chosen model separate from the base config.
- Resolve `model` once in `core` and `tui` from config. Then store the
state of it on other structs.
- Move refreshing models to be before resolving the default model
2025-12-10 11:19:00 -08:00
Celia Chen
8a71f8b634
[app-server] Make sure that config writes preserve comments & order or configs (#7789)
Make sure that config writes preserve comments and order of configs by
utilizing the ConfigEditsBuilder in core.

Tested by running a real example and made sure that nothing in the
config file changes other than the configs to edit.
2025-12-10 19:14:27 +00:00
Eric Traut
c4af707e09
Removed experimental "command risk assessment" feature (#7799)
This experimental feature received lukewarm reception during internal
testing. Removing from the code base.
2025-12-10 09:48:11 -08:00
zhao-oai
e0fb3ca1db
refactoring with_escalated_permissions to use SandboxPermissions instead (#7750)
helpful in the future if we want more granularity for requesting
escalated permissions:
e.g when running in readonly sandbox, model can request to escalate to a
sandbox that allows writes
2025-12-10 17:18:48 +00:00
jif-oai
0ad54982ae
chore: rework unified exec events (#7775) 2025-12-10 10:30:38 +00:00
Shijie Rao
893f5261eb
feat: support mcp in-session login (#7751)
### Summary
* Added `mcpServer/oauthLogin` in app server for supporting in session
MCP server login
* Added `McpServerOauthLoginParams` and `McpServerOauthLoginResponse` to
support above method with response returning the auth URL for consumer
to open browser or display accordingly.
* Added `McpServerOauthLoginCompletedNotification` which the app server
would emit on MCP server login success or failure (i.e. timeout).
* Refactored rmcp-client oath_login to have the ability on starting a
auth server which the codex_message_processor uses for in-session auth.
2025-12-09 17:43:53 -08:00
zhao-oai
0a32acaa2d
updating app server types to support execpoilcy amendment (#7747)
also includes minor refactor merging `ApprovalDecision` with
`CommandExecutionRequestAcceptSettings`
2025-12-08 13:56:22 -08:00
zhao-oai
b8eab7ce90
fix: taking plan type from usage endpoint instead of thru auth token (#7610)
pull plan type from the usage endpoint, persist it in session state /
tui state, and propagate through rate limit snapshots
2025-12-04 23:34:13 -08:00
Owen Lin
e8f6d65899
fix(app-server): add will_retry to ErrorNotification (#7611)
VSCE renders `codex/event/stream_error` (automatically retried, e.g.
`"Reconnecting... 1/n"`) and `codex/event/error` (terminal errors)
differently, so add `will_retry` on ErrorNotification to indicate this.
2025-12-04 21:48:37 +00:00
Owen Lin
342c084cc3
fix(app-server): add duration_ms to McpToolCallItem (#7605)
Seems like a nice field to have, and also VSCE does render this one.
2025-12-04 13:45:07 -08:00
zhao-oai
3d35cb4619
Refactor execpolicy fallback evaluation (#7544)
## Refactor of the `execpolicy` crate

To illustrate why we need this refactor, consider an agent attempting to
run `apple | rm -rf ./`. Suppose `apple` is allowed by `execpolicy`.
Before this PR, `execpolicy` would consider `apple` and `pear` and only
render one rule match: `Allow`. We would skip any heuristics checks on
`rm -rf ./` and immediately approve `apple | rm -rf ./` to run.

To fix this, we now thread a `fallback` evaluation function into
`execpolicy` that runs when no `execpolicy` rules match a given command.
In our example, we would run `fallback` on `rm -rf ./` and prevent
`apple | rm -rf ./` from being run without approval.
2025-12-03 23:39:48 -08:00
zhao-oai
e925a380dc
whitelist command prefix integration in core and tui (#7033)
this PR enables TUI to approve commands and add their prefixes to an
allowlist:
<img width="708" height="605" alt="Screenshot 2025-11-21 at 4 18 07 PM"
src="https://github.com/user-attachments/assets/56a19893-4553-4770-a881-becf79eeda32"
/>

note: we only show the option to whitelist the command when 
1) command is not multi-part (e.g `git add -A && git commit -m 'hello
world'`)
2) command is not already matched by an existing rule
2025-12-03 23:17:02 -08:00
Celia Chen
3e6cd5660c
[app-server] make file_path for config optional (#7560)
When we are writing to config using `config/value/write` or
`config/batchWrite`, it always require a `config/read` before it right
now in order to get the correct file path to write to. make this
optional so we read from the default user config file if this is not
passed in.
2025-12-04 03:08:18 +00:00
Ahmed Ibrahim
00cc00ead8
Introduce ModelsManager and migrate app-server to use it. (#7552) 2025-12-03 17:17:56 -08:00
Owen Lin
231ff19ca2
[app-server] fix: add thread_id to turn/plan/updated (#7553)
Realized we're missing this while migrating VSCE.
2025-12-03 15:00:07 -08:00
Ahmed Ibrahim
71504325d3
Migrate model preset (#7542)
- Introduce `openai_models` in `/core`
- Move `PRESETS` under it
- Move `ModelPreset`, `ModelUpgrade`, `ReasoningEffortPreset`,
`ReasoningEffortPreset`, and `ReasoningEffortPreset` to `protocol`
- Introduce `Op::ListModels` and `EventMsg::AvailableModels`

Next steps:
- migrate `app-server` and `tui` to use the introduced Operation
2025-12-03 20:30:43 +00:00
Owen Lin
3ef76ff29d
chore: conversation_id -> thread_id in app-server feedback/upload (#7538)
Use `thread_id: Option<String>` instead of `conversation_id:
Option<ConversationId>` to be consistent with the rest of app-server v2
APIs.
2025-12-03 18:47:35 +00:00
Owen Lin
343aa35db1
chore: update app-server README (#7510)
Just keeping the README up to date.

- Reorganize structure a bit to read more naturally
- Update RPC methods
- Update events
2025-12-03 10:41:38 -08:00
Shijie Rao
4785344c9c
feat: support list mcp servers in app server (#7505)
### Summary
Added `mcp/servers/list` which is equivalent to `/mcp` slash command in
CLI for response. This will be used in VSCE MCP settings to show log in
status, available tools etc.
2025-12-03 09:51:46 -08:00
Owen Lin
77c457121e
fix: remove serde(flatten) annotation for TurnError (#7499)
The problem with using `serde(flatten)` on Turn status is that it
conditionally serializes the `error` field, which is not the pattern we
want in API v2 where all fields on an object should always be returned.

```
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, JsonSchema, TS)]
#[serde(rename_all = "camelCase")]
#[ts(export_to = "v2/")]
pub struct Turn {
    pub id: String,
    /// Only populated on a `thread/resume` response.
    /// For all other responses and notifications returning a Turn,
    /// the items field will be an empty list.
    pub items: Vec<ThreadItem>,
    #[serde(flatten)]
    pub status: TurnStatus,
}

#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, JsonSchema, TS)]
#[serde(tag = "status", rename_all = "camelCase")]
#[ts(tag = "status", export_to = "v2/")]
pub enum TurnStatus {
    Completed,
    Interrupted,
    Failed { error: TurnError },
    InProgress,
}
```

serializes to:
```
{
  "id": "turn-123",
  "items": [],
  "status": "completed"
}

{
  "id": "turn-123",
  "items": [],
  "status": "failed",
  "error": {
    "message": "Tool timeout",
    "codexErrorInfo": null
  }
}
```

Instead we want:
```
{
  "id": "turn-123",
  "items": [],
  "status": "completed",
  "error": null
}

{
  "id": "turn-123",
  "items": [],
  "status": "failed",
  "error": {
    "message": "Tool timeout",
    "codexErrorInfo": null
  }
}
```
2025-12-02 21:39:10 +00:00
Owen Lin
c2f8c4e9f4
fix: add ts number annotations for app-server v2 types (#7492)
These will be more ergonomic to work with in Typescript.
2025-12-02 18:09:41 +00:00
Owen Lin
37ee6bf2c3
chore: remove mention of experimental/unstable from app-server README (#7474) 2025-12-02 17:35:05 +00:00
jif-oai
85e687c74a
feat: add one off commands to app-server v2 (#7452) 2025-12-02 11:56:09 +00:00