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ambassadors.md +2 −0

Details

10 10 

11[Apply Today](https://openai.com/form/codex-ambassadors)11[Apply Today](https://openai.com/form/codex-ambassadors)

12 12 

13[Upcoming Meetups](https://developers.openai.com/codex/community/meetups)

14 

13![Codex Ambassadors leading a community workshop](/images/codex/ambassadors/ambassadors-18.jpg) ![Builders collaborating during a Codex Ambassador event](/images/codex/ambassadors/ambassadors-25.jpg)15![Codex Ambassadors leading a community workshop](/images/codex/ambassadors/ambassadors-18.jpg) ![Builders collaborating during a Codex Ambassador event](/images/codex/ambassadors/ambassadors-25.jpg)

14 16 

15Ambassadors run hands-on meetups, workshops, and community sessions17Ambassadors run hands-on meetups, workshops, and community sessions

app.md +4 −10

Details

1# Codex app1# Codex app

2 2 

3Your Codex command center

4 

5The Codex app is a focused desktop experience for working on Codex threads in parallel, with built-in worktree support, automations, and Git functionality.3The Codex app is a focused desktop experience for working on Codex threads in parallel, with built-in worktree support, automations, and Git functionality.

6 4 

7ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. Learn more about [what's included](https://developers.openai.com/codex/pricing).5ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. Learn more about [what's included](https://developers.openai.com/codex/pricing).

8 6 

9![Codex app window with a project sidebar, active thread, and review pane](/images/codex/app/app-screenshot-light.webp) ![Codex app window with a project sidebar, active thread, and review pane](/images/codex/app/app-screenshot-dark.webp)7![Codex app window with a project sidebar, active thread, and review pane](/images/codex/app/app-screenshot-light.webp)

10 

11![Codex app window with a project sidebar, active thread, and review pane](/images/codex/app/app-screenshot-light.webp) ![Codex app window with a project sidebar, active thread, and review pane](/images/codex/app/app-screenshot-dark.webp)

12 8 

13## Getting started9## Getting started

14 10 


38 34 

39 You can ask Codex anything about the project or your computer in general. Here are some examples:35 You can ask Codex anything about the project or your computer in general. Here are some examples:

40 36 

41 ![](https://developers.openai.com/codex/colorcons/brain.png)Tell me about this projectCopied![](https://developers.openai.com/codex/colorcons/gamepad.png)Build a classic Snake game in this repo.Copied![](https://developers.openai.com/codex/colorcons/search.png)Find and fix bugs in my codebase with minimal, high-confidence changes.Copied37- Tell me about this project

38- Build a classic Snake game in this repo.

39- Find and fix bugs in my codebase with minimal, high-confidence changes.

42 40 

43 If you need more inspiration, check out the [explore section](https://developers.openai.com/codex/explore).41 If you need more inspiration, check out the [explore section](https://developers.openai.com/codex/explore).

44 42 


69---67---

70 68 

71Need help? Visit the [troubleshooting guide](https://developers.openai.com/codex/app/troubleshooting).69Need help? Visit the [troubleshooting guide](https://developers.openai.com/codex/app/troubleshooting).

72 

73[Next

74 

75Features](https://developers.openai.com/codex/app/features)

app-server.md +168 −18

Details

1# Codex App Server1# Codex App Server

2 2 

3Embed Codex into your product with the app-server protocol

4 

5Codex app-server is the interface Codex uses to power rich clients (for example, the Codex VS Code extension). Use it when you want a deep integration inside your own product: authentication, conversation history, approvals, and streamed agent events. The app-server implementation is open source in the Codex GitHub repository ([openai/codex/codex-rs/app-server](https://github.com/openai/codex/tree/main/codex-rs/app-server)). See the [Open Source](https://developers.openai.com/codex/open-source) page for the full list of open-source Codex components.3Codex app-server is the interface Codex uses to power rich clients (for example, the Codex VS Code extension). Use it when you want a deep integration inside your own product: authentication, conversation history, approvals, and streamed agent events. The app-server implementation is open source in the Codex GitHub repository ([openai/codex/codex-rs/app-server](https://github.com/openai/codex/tree/main/codex-rs/app-server)). See the [Open Source](https://developers.openai.com/codex/open-source) page for the full list of open-source Codex components.

6 4 

7If you are automating jobs or running Codex in CI, use the5If you are automating jobs or running Codex in CI, use the


118- **Start (or resume) a thread**: Call `thread/start` for a new conversation, `thread/resume` to continue an existing one, or `thread/fork` to branch history into a new thread id.116- **Start (or resume) a thread**: Call `thread/start` for a new conversation, `thread/resume` to continue an existing one, or `thread/fork` to branch history into a new thread id.

119- **Begin a turn**: Call `turn/start` with the target `threadId` and user input. Optional fields override model, personality, `cwd`, sandbox policy, and more.117- **Begin a turn**: Call `turn/start` with the target `threadId` and user input. Optional fields override model, personality, `cwd`, sandbox policy, and more.

120- **Steer an active turn**: Call `turn/steer` to append user input to the currently in-flight turn without creating a new turn.118- **Steer an active turn**: Call `turn/steer` to append user input to the currently in-flight turn without creating a new turn.

121- **Stream events**: After `turn/start`, keep reading notifications on stdout: `item/started`, `item/completed`, `item/agentMessage/delta`, tool progress, and other updates.119- **Stream events**: After `turn/start`, keep reading notifications on stdout: `thread/archived`, `thread/unarchived`, `item/started`, `item/completed`, `item/agentMessage/delta`, tool progress, and other updates.

122- **Finish the turn**: The server emits `turn/completed` with final status when the model finishes or after a `turn/interrupt` cancellation.120- **Finish the turn**: The server emits `turn/completed` with final status when the model finishes or after a `turn/interrupt` cancellation.

123 121 

124## Initialization122## Initialization


203- `thread/start` - create a new thread; emits `thread/started` and automatically subscribes you to turn/item events for that thread.201- `thread/start` - create a new thread; emits `thread/started` and automatically subscribes you to turn/item events for that thread.

204- `thread/resume` - reopen an existing thread by id so later `turn/start` calls append to it.202- `thread/resume` - reopen an existing thread by id so later `turn/start` calls append to it.

205- `thread/fork` - fork a thread into a new thread id by copying stored history; emits `thread/started` for the new thread.203- `thread/fork` - fork a thread into a new thread id by copying stored history; emits `thread/started` for the new thread.

206- `thread/read` - read a stored thread by id without resuming it; set `includeTurns` to return full turn history.204- `thread/read` - read a stored thread by id without resuming it; set `includeTurns` to return full turn history. Returned `thread` objects include runtime `status`.

207- `thread/list` - page through stored thread logs; supports cursor-based pagination plus `modelProviders`, `sourceKinds`, `archived`, and `cwd` filters.205- `thread/list` - page through stored thread logs; supports cursor-based pagination plus `modelProviders`, `sourceKinds`, `archived`, and `cwd` filters. Returned `thread` objects include runtime `status`.

208- `thread/loaded/list` - list the thread ids currently loaded in memory.206- `thread/loaded/list` - list the thread ids currently loaded in memory.

209- `thread/archive` - move a threads log file into the archived directory; returns `{}` on success.207- `thread/archive` - move a thread's log file into the archived directory; returns `{}` on success and emits `thread/archived`.

210- `thread/unarchive` - restore an archived thread rollout back into the active sessions directory; returns the restored `thread`.208- `thread/unarchive` - restore an archived thread rollout back into the active sessions directory; returns the restored `thread` and emits `thread/unarchived`.

209- `thread/status/changed` - notification emitted when a loaded thread's runtime `status` changes.

211- `thread/compact/start` - trigger conversation history compaction for a thread; returns `{}` immediately while progress streams via `turn/*` and `item/*` notifications.210- `thread/compact/start` - trigger conversation history compaction for a thread; returns `{}` immediately while progress streams via `turn/*` and `item/*` notifications.

212- `thread/rollback` - drop the last N turns from the in-memory context and persist a rollback marker; returns the updated `thread`.211- `thread/rollback` - drop the last N turns from the in-memory context and persist a rollback marker; returns the updated `thread`.

213- `turn/start` - add user input to a thread and begin Codex generation; responds with the initial `turn` and streams events. For `collaborationMode`, `settings.developer_instructions: null` means "use built-in instructions for the selected mode."212- `turn/start` - add user input to a thread and begin Codex generation; responds with the initial `turn` and streams events. For `collaborationMode`, `settings.developer_instructions: null` means "use built-in instructions for the selected mode."


225- `tool/requestUserInput` - prompt the user with 1-3 short questions for a tool call (experimental); questions can set `isOther` for a free-form option.224- `tool/requestUserInput` - prompt the user with 1-3 short questions for a tool call (experimental); questions can set `isOther` for a free-form option.

226- `config/mcpServer/reload` - reload MCP server configuration from disk and queue a refresh for loaded threads.225- `config/mcpServer/reload` - reload MCP server configuration from disk and queue a refresh for loaded threads.

227- `mcpServerStatus/list` - list MCP servers, tools, resources, and auth status (cursor + limit pagination).226- `mcpServerStatus/list` - list MCP servers, tools, resources, and auth status (cursor + limit pagination).

228- `feedback/upload` - submit a feedback report (classification + optional reason/logs + conversation id).227- `windowsSandbox/setupStart` - start Windows sandbox setup for `elevated` or `unelevated` mode; returns quickly and later emits `windowsSandbox/setupCompleted`.

228- `feedback/upload` - submit a feedback report (classification + optional reason/logs + conversation id, plus optional `extraLogFiles` attachments).

229- `config/read` - fetch the effective configuration on disk after resolving configuration layering.229- `config/read` - fetch the effective configuration on disk after resolving configuration layering.

230- `config/value/write` - write a single configuration key/value to the user's `config.toml` on disk.230- `config/value/write` - write a single configuration key/value to the user's `config.toml` on disk.

231- `config/batchWrite` - apply configuration edits atomically to the user's `config.toml` on disk.231- `config/batchWrite` - apply configuration edits atomically to the user's `config.toml` on disk.


335 "threadId": "thr_123",335 "threadId": "thr_123",

336 "personality": "friendly"336 "personality": "friendly"

337} }337} }

338{ "id": 11, "result": { "thread": { "id": "thr_123" } } }338{ "id": 11, "result": { "thread": { "id": "thr_123", "name": "Bug bash notes" } } }

339```339```

340 340 

341Resuming a thread doesn't update `thread.updatedAt` (or the rollout file's modified time) by itself. The timestamp updates when you start a turn.341Resuming a thread doesn't update `thread.updatedAt` (or the rollout file's modified time) by itself. The timestamp updates when you start a turn.


354{ "method": "thread/started", "params": { "thread": { "id": "thr_456" } } }354{ "method": "thread/started", "params": { "thread": { "id": "thr_456" } } }

355```355```

356 356 

357When a user-facing thread title has been set, app-server hydrates `thread.name` on `thread/list`, `thread/read`, `thread/resume`, `thread/unarchive`, and `thread/rollback` responses. `thread/start` and `thread/fork` may omit `name` (or return `null`) until a title is set later.

358 

357### Read a stored thread (without resuming)359### Read a stored thread (without resuming)

358 360 

359Use `thread/read` when you want stored thread data but don't want to resume the thread or subscribe to its events.361Use `thread/read` when you want stored thread data but don't want to resume the thread or subscribe to its events.

360 362 

361- `includeTurns` - when `true`, the response includes the thread's turns; when `false` or omitted, you get the thread summary only.363- `includeTurns` - when `true`, the response includes the thread's turns; when `false` or omitted, you get the thread summary only.

364- Returned `thread` objects include runtime `status` (`notLoaded`, `idle`, `systemError`, or `active` with `activeFlags`).

362 365 

363```json366```json

364{ "method": "thread/read", "id": 19, "params": { "threadId": "thr_123", "includeTurns": true } }367{ "method": "thread/read", "id": 19, "params": { "threadId": "thr_123", "includeTurns": true } }

365{ "id": 19, "result": { "thread": { "id": "thr_123", "turns": [] } } }368{ "id": 19, "result": { "thread": { "id": "thr_123", "name": "Bug bash notes", "status": { "type": "notLoaded" }, "turns": [] } } }

366```369```

367 370 

368Unlike `thread/resume`, `thread/read` doesn't load the thread into memory or emit `thread/started`.371Unlike `thread/resume`, `thread/read` doesn't load the thread into memory or emit `thread/started`.


402} }405} }

403{ "id": 20, "result": {406{ "id": 20, "result": {

404 "data": [407 "data": [

405 { "id": "thr_a", "preview": "Create a TUI", "modelProvider": "openai", "createdAt": 1730831111, "updatedAt": 1730831111 },408 { "id": "thr_a", "preview": "Create a TUI", "modelProvider": "openai", "createdAt": 1730831111, "updatedAt": 1730831111, "name": "TUI prototype", "status": { "type": "notLoaded" } },

406 { "id": "thr_b", "preview": "Fix tests", "modelProvider": "openai", "createdAt": 1730750000, "updatedAt": 1730750000 }409 { "id": "thr_b", "preview": "Fix tests", "modelProvider": "openai", "createdAt": 1730750000, "updatedAt": 1730750000, "status": { "type": "notLoaded" } }

407 ],410 ],

408 "nextCursor": "opaque-token-or-null"411 "nextCursor": "opaque-token-or-null"

409} }412} }


411 414 

412When `nextCursor` is `null`, you have reached the final page.415When `nextCursor` is `null`, you have reached the final page.

413 416 

417### Track thread status changes

418 

419`thread/status/changed` is emitted whenever a loaded thread's runtime status changes. The payload includes `threadId` and the new `status`.

420 

421```json

422{

423 "method": "thread/status/changed",

424 "params": {

425 "threadId": "thr_123",

426 "status": { "type": "active", "activeFlags": ["waitingOnApproval"] }

427 }

428}

429```

430 

414### List loaded threads431### List loaded threads

415 432 

416`thread/loaded/list` returns thread IDs currently loaded in memory.433`thread/loaded/list` returns thread IDs currently loaded in memory.


427```json444```json

428{ "method": "thread/archive", "id": 22, "params": { "threadId": "thr_b" } }445{ "method": "thread/archive", "id": 22, "params": { "threadId": "thr_b" } }

429{ "id": 22, "result": {} }446{ "id": 22, "result": {} }

447{ "method": "thread/archived", "params": { "threadId": "thr_b" } }

430```448```

431 449 

432Archived threads won't appear in future calls to `thread/list` unless you pass `archived: true`.450Archived threads won't appear in future calls to `thread/list` unless you pass `archived: true`.


437 455 

438```json456```json

439{ "method": "thread/unarchive", "id": 24, "params": { "threadId": "thr_b" } }457{ "method": "thread/unarchive", "id": 24, "params": { "threadId": "thr_b" } }

440{ "id": 24, "result": { "thread": { "id": "thr_b" } } }458{ "id": 24, "result": { "thread": { "id": "thr_b", "name": "Bug bash notes" } } }

459{ "method": "thread/unarchived", "params": { "threadId": "thr_b" } }

441```460```

442 461 

443### Trigger thread compaction462### Trigger thread compaction


480}499}

481```500```

482 501 

502On macOS, `includePlatformDefaults: true` appends a curated platform-default Seatbelt policy for restricted-read sessions. This improves tool compatibility without broadly allowing all of `/System`.

503 

483Examples:504Examples:

484 505 

485```json506```json


656- `sandboxPolicy` accepts the same shape used by `turn/start` (for example, `dangerFullAccess`, `readOnly`, `workspaceWrite`, `externalSandbox`).677- `sandboxPolicy` accepts the same shape used by `turn/start` (for example, `dangerFullAccess`, `readOnly`, `workspaceWrite`, `externalSandbox`).

657- When omitted, `timeoutMs` falls back to the server default.678- When omitted, `timeoutMs` falls back to the server default.

658 679 

680### Read admin requirements (`configRequirements/read`)

681 

682Use `configRequirements/read` to inspect the effective admin requirements loaded from `requirements.toml` and/or MDM.

683 

684```json

685{ "method": "configRequirements/read", "id": 52, "params": {} }

686{ "id": 52, "result": {

687 "requirements": {

688 "allowedApprovalPolicies": ["onRequest", "unlessTrusted"],

689 "allowedSandboxModes": ["readOnly", "workspaceWrite"],

690 "network": {

691 "enabled": true,

692 "allowedDomains": ["api.openai.com"],

693 "allowUnixSockets": ["/tmp/example.sock"],

694 "dangerouslyAllowAllUnixSockets": false

695 }

696 }

697} }

698```

699 

700`result.requirements` is `null` when no requirements are configured. When present, the optional `network` object carries managed proxy constraints (domain rules, proxy settings, and unix-socket policy).

701 

702### Windows sandbox setup (`windowsSandbox/setupStart`)

703 

704Custom Windows clients can trigger sandbox setup asynchronously instead of blocking on startup checks.

705 

706```json

707{ "method": "windowsSandbox/setupStart", "id": 53, "params": { "mode": "elevated" } }

708{ "id": 53, "result": { "started": true } }

709```

710 

711App-server starts setup in the background and later emits a completion notification:

712 

713```json

714{

715 "method": "windowsSandbox/setupCompleted",

716 "params": { "mode": "elevated", "success": true, "error": null }

717}

718```

719 

720Modes:

721 

722- `elevated` - run the elevated Windows sandbox setup path.

723- `unelevated` - run the legacy setup/preflight path.

724 

659## Events725## Events

660 726 

661Event notifications are the server-initiated stream for thread lifecycles, turn lifecycles, and the items within them. After you start or resume a thread, keep reading the active transport stream for `thread/started`, `turn/*`, and `item/*` notifications.727Event notifications are the server-initiated stream for thread lifecycles, turn lifecycles, and the items within them. After you start or resume a thread, keep reading the active transport stream for `thread/started`, `thread/archived`, `thread/unarchived`, `thread/status/changed`, `turn/*`, and `item/*` notifications.

662 728 

663### Notification opt-out729### Notification opt-out

664 730 


676- `fuzzyFileSearch/sessionUpdated` - `{ sessionId, query, files }` with the current matches for the active query.742- `fuzzyFileSearch/sessionUpdated` - `{ sessionId, query, files }` with the current matches for the active query.

677- `fuzzyFileSearch/sessionCompleted` - `{ sessionId }` once indexing and matching for that query completes.743- `fuzzyFileSearch/sessionCompleted` - `{ sessionId }` once indexing and matching for that query completes.

678 744 

745### Windows sandbox setup events

746 

747- `windowsSandbox/setupCompleted` - `{ mode, success, error }` emitted after a `windowsSandbox/setupStart` request finishes.

748 

679### Turn events749### Turn events

680 750 

681- `turn/started` - `{ turn }` with the turn id, empty `items`, and `status: "inProgress"`.751- `turn/started` - `{ turn }` with the turn id, empty `items`, and `status: "inProgress"`.


691`ThreadItem` is the tagged union carried in turn responses and `item/*` notifications. Common item types include:761`ThreadItem` is the tagged union carried in turn responses and `item/*` notifications. Common item types include:

692 762 

693- `userMessage` - `{id, content}` where `content` is a list of user inputs (`text`, `image`, or `localImage`).763- `userMessage` - `{id, content}` where `content` is a list of user inputs (`text`, `image`, or `localImage`).

694- `agentMessage` - `{id, text}` containing the accumulated agent reply.764- `agentMessage` - `{id, text, phase?}` containing the accumulated agent reply. When present, `phase` uses Responses API wire values (`commentary`, `final_answer`).

695- `plan` - `{id, text}` containing proposed plan text in plan mode. Treat the final `plan` item from `item/completed` as authoritative.765- `plan` - `{id, text}` containing proposed plan text in plan mode. Treat the final `plan` item from `item/completed` as authoritative.

696- `reasoning` - `{id, summary, content}` where `summary` holds streamed reasoning summaries and `content` holds raw reasoning blocks.766- `reasoning` - `{id, summary, content}` where `summary` holds streamed reasoning summaries and `content` holds raw reasoning blocks.

697- `commandExecution` - `{id, command, cwd, status, commandActions, aggregatedOutput?, exitCode?, durationMs?}`.767- `commandExecution` - `{id, command, cwd, status, commandActions, aggregatedOutput?, exitCode?, durationMs?}`.


753Order of messages:823Order of messages:

754 824 

7551. `item/started` shows the pending `commandExecution` item with `command`, `cwd`, and other fields.8251. `item/started` shows the pending `commandExecution` item with `command`, `cwd`, and other fields.

7562. `item/commandExecution/requestApproval` includes `itemId`, `threadId`, `turnId`, optional `reason`, optional `command`, optional `cwd`, optional `commandActions`, and optional `proposedExecpolicyAmendment`.8262. `item/commandExecution/requestApproval` includes `itemId`, `threadId`, `turnId`, optional `reason`, optional `command`, optional `cwd`, optional `commandActions`, optional `proposedExecpolicyAmendment`, and optional `networkApprovalContext`.

7573. Client responds with one of the command execution approval decisions above.8273. Client responds with one of the command execution approval decisions above.

7584. `item/completed` returns the final `commandExecution` item with `status: completed | failed | declined`.8284. `item/completed` returns the final `commandExecution` item with `status: completed | failed | declined`.

759 829 

830When `networkApprovalContext` is present, the prompt is for managed network access (not a general shell-command approval). The current v2 schema exposes the target `host` and `protocol`; clients should render a network-specific prompt and not rely on `command` being a user-meaningful shell command preview.

831 

832Codex deduplicates concurrent network approval prompts by destination (`host`, protocol, and port). The app-server may therefore send one prompt that unblocks multiple queued requests to the same destination, while different ports on the same host are treated separately.

833 

760### File change approvals834### File change approvals

761 835 

762Order of messages:836Order of messages:


768 842 

769### MCP tool-call approvals (apps)843### MCP tool-call approvals (apps)

770 844 

771App (connector) tool calls can also require approval. When an app tool call has side effects, the server may elicit approval with `tool/requestUserInput` and options such as **Accept**, **Decline**, and **Cancel**. If the user declines or cancels, the related `mcpToolCall` item completes with an error instead of running the tool.845App (connector) tool calls can also require approval. When an app tool call has side effects, the server may elicit approval with `tool/requestUserInput` and options such as **Accept**, **Decline**, and **Cancel**. Destructive tool annotations always trigger approval even when the tool also advertises less-privileged hints. If the user declines or cancels, the related `mcpToolCall` item completes with an error instead of running the tool.

772 846 

773## Skills847## Skills

774 848 


865 939 

866## Apps (connectors)940## Apps (connectors)

867 941 

868Use `app/list` to fetch available apps. In the CLI/TUI, `/apps` is the user-facing picker; in custom clients, call `app/list` directly. Each entry includes both `isAccessible` (available to the user) and `isEnabled` (enabled in `config.toml`) so clients can distinguish install/access from local enabled state.942Use `app/list` to fetch available apps. In the CLI/TUI, `/apps` is the user-facing picker; in custom clients, call `app/list` directly. Each entry includes both `isAccessible` (available to the user) and `isEnabled` (enabled in `config.toml`) so clients can distinguish install/access from local enabled state. App entries can also include optional `branding`, `appMetadata`, and `labels` fields.

869 943 

870```json944```json

871{ "method": "app/list", "id": 50, "params": {945{ "method": "app/list", "id": 50, "params": {


881 "name": "Demo App",955 "name": "Demo App",

882 "description": "Example connector for documentation.",956 "description": "Example connector for documentation.",

883 "logoUrl": "https://example.com/demo-app.png",957 "logoUrl": "https://example.com/demo-app.png",

958 "logoUrlDark": null,

959 "distributionChannel": null,

960 "branding": null,

961 "appMetadata": null,

962 "labels": null,

884 "installUrl": "https://chatgpt.com/apps/demo-app/demo-app",963 "installUrl": "https://chatgpt.com/apps/demo-app/demo-app",

885 "isAccessible": true,964 "isAccessible": true,

886 "isEnabled": true965 "isEnabled": true


906 "name": "Demo App",985 "name": "Demo App",

907 "description": "Example connector for documentation.",986 "description": "Example connector for documentation.",

908 "logoUrl": "https://example.com/demo-app.png",987 "logoUrl": "https://example.com/demo-app.png",

988 "logoUrlDark": null,

989 "distributionChannel": null,

990 "branding": null,

991 "appMetadata": null,

992 "labels": null,

909 "installUrl": "https://chatgpt.com/apps/demo-app/demo-app",993 "installUrl": "https://chatgpt.com/apps/demo-app/demo-app",

910 "isAccessible": true,994 "isAccessible": true,

911 "isEnabled": true995 "isEnabled": true


938}1022}

939```1023```

940 1024 

1025### Config RPC examples for app settings

1026 

1027Use `config/read`, `config/value/write`, and `config/batchWrite` to inspect or update app controls in `config.toml`.

1028 

1029Read the effective app config shape (including `_default` and per-tool overrides):

1030 

1031```json

1032{ "method": "config/read", "id": 60, "params": { "includeLayers": false } }

1033{ "id": 60, "result": {

1034 "config": {

1035 "apps": {

1036 "_default": {

1037 "enabled": true,

1038 "destructive_enabled": true,

1039 "open_world_enabled": true

1040 },

1041 "google_drive": {

1042 "enabled": true,

1043 "destructive_enabled": false,

1044 "default_tools_approval_mode": "prompt",

1045 "tools": {

1046 "files/delete": { "enabled": false, "approval_mode": "approve" }

1047 }

1048 }

1049 }

1050 }

1051} }

1052```

1053 

1054Update a single app setting:

1055 

1056```json

1057{

1058 "method": "config/value/write",

1059 "id": 61,

1060 "params": {

1061 "keyPath": "apps.google_drive.default_tools_approval_mode",

1062 "value": "prompt",

1063 "mergeStrategy": "replace"

1064 }

1065}

1066```

1067 

1068Apply multiple app edits atomically:

1069 

1070```json

1071{

1072 "method": "config/batchWrite",

1073 "id": 62,

1074 "params": {

1075 "edits": [

1076 {

1077 "keyPath": "apps._default.destructive_enabled",

1078 "value": false,

1079 "mergeStrategy": "upsert"

1080 },

1081 {

1082 "keyPath": "apps.google_drive.tools.files/delete.approval_mode",

1083 "value": "approve",

1084 "mergeStrategy": "upsert"

1085 }

1086 ]

1087 }

1088}

1089```

1090 

941## Auth endpoints1091## Auth endpoints

942 1092 

943The JSON-RPC auth/account surface exposes request/response methods plus server-initiated notifications (no `id`). Use these to determine auth state, start or cancel logins, logout, and inspect ChatGPT rate limits.1093The JSON-RPC auth/account surface exposes request/response methods plus server-initiated notifications (no `id`). Use these to determine auth state, start or cancel logins, logout, and inspect ChatGPT rate limits.

Details

1# Automations1# Automations

2 2 

3Schedule recurring Codex tasks

4 

5Automate recurring tasks in the background. Codex adds findings to the inbox, or automatically archives the task if there's nothing to report. You can combine automations with [skills](https://developers.openai.com/codex/skills) for more complex tasks.3Automate recurring tasks in the background. Codex adds findings to the inbox, or automatically archives the task if there's nothing to report. You can combine automations with [skills](https://developers.openai.com/codex/skills) for more complex tasks.

6 4 

7Automations run locally in the Codex app. The app needs to be running, and the5Automations run locally in the Codex app. The app needs to be running, and the


12checkout. In non-version-controlled projects, automations run directly in the10checkout. In non-version-controlled projects, automations run directly in the

13project directory.11project directory.

14 12 

15![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-light.webp) ![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-dark.webp)13![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-light.webp)

16 

17![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-light.webp) ![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-dark.webp)

18 14 

19## Managing tasks15## Managing tasks

20 16 


66 62 

67If you are in a managed environment, admins can restrict these behaviors using63If you are in a managed environment, admins can restrict these behaviors using

68admin-enforced requirements. For example, they can disallow `approval_policy = "never"` or constrain allowed sandbox modes. See64admin-enforced requirements. For example, they can disallow `approval_policy = "never"` or constrain allowed sandbox modes. See

69[Admin-enforced requirements (`requirements.toml`)](https://developers.openai.com/codex/security#admin-enforced-requirements-requirementstoml).65[Admin-enforced requirements (`requirements.toml`)](https://developers.openai.com/codex/enterprise/managed-configuration#admin-enforced-requirements-requirementstoml).

70 66 

71Automations use `approval_policy = "never"` when your organization policy67Automations use `approval_policy = "never"` when your organization policy

72allows it. If `approval_policy = "never"` is disallowed by admin requirements,68allows it. If `approval_policy = "never"` is disallowed by admin requirements,


174```markdown170```markdown

175Check my commits from the last 24h and submit a $recent-code-bugfix.171Check my commits from the last 24h and submit a $recent-code-bugfix.

176```172```

177 

178[Previous

179 

180Review](https://developers.openai.com/codex/app/review)[Next

181 

182Worktrees](https://developers.openai.com/codex/app/worktrees)

app/commands.md +0 −8

Details

1# Codex app commands1# Codex app commands

2 2 

3Reference for Codex app commands and keyboard shortcuts

4 

5Use these commands and keyboard shortcuts to navigate the Codex app.3Use these commands and keyboard shortcuts to navigate the Codex app.

6 4 

7## Keyboard shortcuts5## Keyboard shortcuts


54 52 

55- [Features](https://developers.openai.com/codex/app/features)53- [Features](https://developers.openai.com/codex/app/features)

56- [Settings](https://developers.openai.com/codex/app/settings)54- [Settings](https://developers.openai.com/codex/app/settings)

57 

58[Previous

59 

60Local Environments](https://developers.openai.com/codex/app/local-environments)[Next

61 

62Troubleshooting](https://developers.openai.com/codex/app/troubleshooting)

app/features.md +9 −35

Details

1# Codex app features1# Codex app features

2 2 

3What you can do with the Codex app

4 

5The Codex app is a focused desktop experience for working on Codex threads in parallel,3The Codex app is a focused desktop experience for working on Codex threads in parallel,

6with built-in worktree support, automations, and Git functionality.4with built-in worktree support, automations, and Git functionality.

7 5 


19distinct projects into separate app projects so the [sandbox](https://developers.openai.com/codex/security)17distinct projects into separate app projects so the [sandbox](https://developers.openai.com/codex/security)

20only includes the files for that project.18only includes the files for that project.

21 19 

22![Codex app showing multiple projects in the sidebar and threads in the main pane](/images/codex/app/multitask-light.webp) ![Codex app showing multiple projects in the sidebar and threads in the main pane](/images/codex/app/multitask-dark.webp)20![Codex app showing multiple projects in the sidebar and threads in the main pane](/images/codex/app/multitask-light.webp)

23 

24![Codex app showing multiple projects in the sidebar and threads in the main pane](/images/codex/app/multitask-light.webp) ![Codex app showing multiple projects in the sidebar and threads in the main pane](/images/codex/app/multitask-dark.webp)

25 21 

26## Skills support22## Skills support

27 23 


29IDE Extension. You can also view and explore new skills that your team has25IDE Extension. You can also view and explore new skills that your team has

30created across your different projects by clicking Skills in the sidebar.26created across your different projects by clicking Skills in the sidebar.

31 27 

32![Skills picker showing available skills in the Codex app](/images/codex/app/skill-selector-light.webp) ![Skills picker showing available skills in the Codex app](/images/codex/app/skill-selector-dark.webp)28![Skills picker showing available skills in the Codex app](/images/codex/app/skill-selector-light.webp)

33 

34![Skills picker showing available skills in the Codex app](/images/codex/app/skill-selector-light.webp) ![Skills picker showing available skills in the Codex app](/images/codex/app/skill-selector-dark.webp)

35 29 

36## Automations30## Automations

37 31 


39such as evaluating errors in your telemetry and submitting fixes or creating reports on recent33such as evaluating errors in your telemetry and submitting fixes or creating reports on recent

40codebase changes.34codebase changes.

41 35 

42![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-light.webp) ![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-dark.webp)36![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-light.webp)

43 

44![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-light.webp) ![Automation creation form with schedule and prompt fields](/images/codex/app/create-automation-dark.webp)

45 37 

46## Modes38## Modes

47 39 


55 47 

56For the full glossary and concepts, explore the [concepts section](https://developers.openai.com/codex/prompting).48For the full glossary and concepts, explore the [concepts section](https://developers.openai.com/codex/prompting).

57 49 

58![New thread composer with Local, Worktree, and Cloud mode options](/images/codex/app/modes-light.webp) ![New thread composer with Local, Worktree, and Cloud mode options](/images/codex/app/modes-dark.webp)50![New thread composer with Local, Worktree, and Cloud mode options](/images/codex/app/modes-light.webp)

59 

60![New thread composer with Local, Worktree, and Cloud mode options](/images/codex/app/modes-light.webp) ![New thread composer with Local, Worktree, and Cloud mode options](/images/codex/app/modes-dark.webp)

61 51 

62## Built-in Git tools52## Built-in Git tools

63 53 


71 61 

72For more advanced Git tasks, use the [integrated terminal](#integrated-terminal).62For more advanced Git tasks, use the [integrated terminal](#integrated-terminal).

73 63 

74![Git diff and commit panel with a commit message field](/images/codex/app/git-commit-light.webp) ![Git diff and commit panel with a commit message field](/images/codex/app/git-commit-dark.webp)64![Git diff and commit panel with a commit message field](/images/codex/app/git-commit-light.webp)

75 

76![Git diff and commit panel with a commit message field](/images/codex/app/git-commit-light.webp) ![Git diff and commit panel with a commit message field](/images/codex/app/git-commit-dark.webp)

77 65 

78## Worktree support66## Worktree support

79 67 


88 76 

89[Learn more about using worktrees in the Codex app.](https://developers.openai.com/codex/app/worktrees)77[Learn more about using worktrees in the Codex app.](https://developers.openai.com/codex/app/worktrees)

90 78 

91![Worktree thread view showing branch actions and worktree details](/images/codex/app/worktree-light.webp) ![Worktree thread view showing branch actions and worktree details](/images/codex/app/worktree-dark.webp)79![Worktree thread view showing branch actions and worktree details](/images/codex/app/worktree-light.webp)

92 

93![Worktree thread view showing branch actions and worktree details](/images/codex/app/worktree-light.webp) ![Worktree thread view showing branch actions and worktree details](/images/codex/app/worktree-dark.webp)

94 80 

95## Integrated terminal81## Integrated terminal

96 82 


113Note that <kbd>Cmd</kbd>+<kbd>K</kbd> opens the command palette in the Codex99Note that <kbd>Cmd</kbd>+<kbd>K</kbd> opens the command palette in the Codex

114app. It doesn't clear the terminal. To clear the terminal use <kbd>Ctrl</kbd>+<kbd>L</kbd>.100app. It doesn't clear the terminal. To clear the terminal use <kbd>Ctrl</kbd>+<kbd>L</kbd>.

115 101 

116![Integrated terminal drawer open beneath a Codex thread](/images/codex/app/integrated-terminal-light.webp) ![Integrated terminal drawer open beneath a Codex thread](/images/codex/app/integrated-terminal-dark.webp)102![Integrated terminal drawer open beneath a Codex thread](/images/codex/app/integrated-terminal-light.webp)

117 

118![Integrated terminal drawer open beneath a Codex thread](/images/codex/app/integrated-terminal-light.webp) ![Integrated terminal drawer open beneath a Codex thread](/images/codex/app/integrated-terminal-dark.webp)

119 103 

120## Voice dictation104## Voice dictation

121 105 

122Use your voice to prompt Codex. Hold <kbd>Ctrl</kbd>+<kbd>M</kbd> while the composer is visible and start talking. Your voice will be transcribed. Edit the transcribed prompt or hit send to have Codex start work.106Use your voice to prompt Codex. Hold <kbd>Ctrl</kbd>+<kbd>M</kbd> while the composer is visible and start talking. Your voice will be transcribed. Edit the transcribed prompt or hit send to have Codex start work.

123 107 

124![Voice dictation indicator in the composer with a transcribed prompt](/images/codex/app/voice-dictation-light.webp) ![Voice dictation indicator in the composer with a transcribed prompt](/images/codex/app/voice-dictation-dark.webp)108![Voice dictation indicator in the composer with a transcribed prompt](/images/codex/app/voice-dictation-light.webp)

125 

126![Voice dictation indicator in the composer with a transcribed prompt](/images/codex/app/voice-dictation-light.webp) ![Voice dictation indicator in the composer with a transcribed prompt](/images/codex/app/voice-dictation-dark.webp)

127 109 

128## Floating pop-out window110## Floating pop-out window

129 111 


134You can also toggle the pop-out window to stay on top when you want it to remain116You can also toggle the pop-out window to stay on top when you want it to remain

135visible across your workflow.117visible across your workflow.

136 118 

137![Pop-out window preview in light mode](/images/codex/app/popover-light.webp) ![Pop-out window preview in light mode](/images/codex/app/popover-dark.webp)119![Pop-out window preview in light mode](/images/codex/app/popover-light.webp)

138 

139![Pop-out window preview in light mode](/images/codex/app/popover-light.webp) ![Pop-out window preview in light mode](/images/codex/app/popover-dark.webp)

140 120 

141---121---

142 122 


216- [Automations](https://developers.openai.com/codex/app/automations)196- [Automations](https://developers.openai.com/codex/app/automations)

217- [Local environments](https://developers.openai.com/codex/app/local-environments)197- [Local environments](https://developers.openai.com/codex/app/local-environments)

218- [Worktrees](https://developers.openai.com/codex/app/worktrees)198- [Worktrees](https://developers.openai.com/codex/app/worktrees)

219 

220[Previous

221 

222Overview](https://developers.openai.com/codex/app)[Next

223 

224Settings](https://developers.openai.com/codex/app/settings)

Details

1# Local environments1# Local environments

2 2 

3Configure common actions and setup scripts for worktrees

4 

5Local environments let you configure setup steps for worktrees as well as common actions for a project.3Local environments let you configure setup steps for worktrees as well as common actions for a project.

6 4 

7You configure your local environments through the [Codex app settings](codex://settings) pane. You can check the generated file into your project's Git repository to share with others.5You configure your local environments through the [Codex app settings](codex://settings) pane. You can check the generated file into your project's Git repository to share with others.


31 29 

32Actions are helpful to keep you from typing common actions like triggering a build for your project or starting a development server. For one-off quick debugging you can use the integrated terminal directly.30Actions are helpful to keep you from typing common actions like triggering a build for your project or starting a development server. For one-off quick debugging you can use the integrated terminal directly.

33 31 

34![Project actions list shown in Codex app settings](/images/codex/app/actions-light.webp) ![Project actions list shown in Codex app settings](/images/codex/app/actions-dark.webp)32![Project actions list shown in Codex app settings](/images/codex/app/actions-light.webp)

35 

36![Project actions list shown in Codex app settings](/images/codex/app/actions-light.webp) ![Project actions list shown in Codex app settings](/images/codex/app/actions-dark.webp)

37 33 

38For example, for a Node.js project you might create a "Run" action that contains the following script:34For example, for a Node.js project you might create a "Run" action that contains the following script:

39 35 


44If the commands for your action are platform-specific, define platform-specific scripts for macOS, Windows, and Linux.40If the commands for your action are platform-specific, define platform-specific scripts for macOS, Windows, and Linux.

45 41 

46To identify your actions, choose an icon associated with each action.42To identify your actions, choose an icon associated with each action.

47 

48[Previous

49 

50Worktrees](https://developers.openai.com/codex/app/worktrees)[Next

51 

52Commands](https://developers.openai.com/codex/app/commands)

app/review.md +1 −11

Details

1# Review1# Review

2 2 

3Review and iterate with Codex on changes inside the app

4 

5The review pane helps you understand what Codex changed, give targeted feedback, and decide what to keep.3The review pane helps you understand what Codex changed, give targeted feedback, and decide what to keep.

6 4 

7It only works for projects that live inside a Git repository. If your project5It only works for projects that live inside a Git repository. If your project


57If you use `/review` to run a code review, comments will show up directly55If you use `/review` to run a code review, comments will show up directly

58inline in the review pane.56inline in the review pane.

59 57 

60![Inline code review comments displayed in the review pane](/images/codex/app/inline-code-review-light.webp) ![Inline code review comments displayed in the review pane](/images/codex/app/inline-code-review-dark.webp)58![Inline code review comments displayed in the review pane](/images/codex/app/inline-code-review-light.webp)

61 

62![Inline code review comments displayed in the review pane](/images/codex/app/inline-code-review-light.webp) ![Inline code review comments displayed in the review pane](/images/codex/app/inline-code-review-dark.webp)

63 59 

64## Staging and reverting files60## Staging and reverting files

65 61 


81Git can represent both staged and unstaged changes in the same file. When that77Git can represent both staged and unstaged changes in the same file. When that

82happens, it can look like the pane is showing “the same file twice” across78happens, it can look like the pane is showing “the same file twice” across

83staged and unstaged views. That's normal Git behavior.79staged and unstaged views. That's normal Git behavior.

84 

85[Previous

86 

87Settings](https://developers.openai.com/codex/app/settings)[Next

88 

89Automations](https://developers.openai.com/codex/app/automations)

app/settings.md +0 −8

Details

1# Codex app settings1# Codex app settings

2 2 

3Configure Codex app behavior and preferences

4 

5Use the settings panel to tune how the Codex app behaves, how it opens files,3Use the settings panel to tune how the Codex app behaves, how it opens files,

6and how it connects to tools. Open [**Settings**](codex://settings) from the app menu or4and how it connects to tools. Open [**Settings**](codex://settings) from the app menu or

7press <kbd>Cmd</kbd>+<kbd>,</kbd>.5press <kbd>Cmd</kbd>+<kbd>,</kbd>.


54 52 

55The **Archived threads** section lists archived chats with dates and project53The **Archived threads** section lists archived chats with dates and project

56context. Use **Unarchive** to restore a thread.54context. Use **Unarchive** to restore a thread.

57 

58[Previous

59 

60Features](https://developers.openai.com/codex/app/features)[Next

61 

62Review](https://developers.openai.com/codex/app/review)

Details

1# Troubleshooting1# Troubleshooting

2 2 

3FAQ and fixes for common Codex app issues

4 

5## Frequently Asked Questions3## Frequently Asked Questions

6 4 

7### Files appear in the side panel that Codex didn't edit5### Files appear in the side panel that Codex didn't edit


134**Fonts aren't rendering correctly**132**Fonts aren't rendering correctly**

135 133 

136Codex uses the same font for the review pane, integrated terminal and any other code displayed inside the app. You can configure the font inside the [Settings](codex://settings) pane as **Code font**.134Codex uses the same font for the review pane, integrated terminal and any other code displayed inside the app. You can configure the font inside the [Settings](codex://settings) pane as **Code font**.

137 

138[Previous

139 

140Commands](https://developers.openai.com/codex/app/commands)

app/worktrees.md +2 −14

Details

1# Worktrees1# Worktrees

2 2 

3Leverage Git worktrees within the Codex app to let Codex work in parallel

4 

5In the Codex app, worktrees let Codex run multiple independent tasks in the same project without interfering with each other. For Git repositories, [automations](https://developers.openai.com/codex/app/automations) run on dedicated background worktrees so they don’t conflict with your ongoing work. In non-version-controlled projects, automations run directly in the project directory. You can also start threads on a worktree manually.3In the Codex app, worktrees let Codex run multiple independent tasks in the same project without interfering with each other. For Git repositories, [automations](https://developers.openai.com/codex/app/automations) run on dedicated background worktrees so they don’t conflict with your ongoing work. In non-version-controlled projects, automations run directly in the project directory. You can also start threads on a worktree manually.

6 4 

7## What's a worktree5## What's a worktree


55 53 

56You can open your IDE to the worktree using the "Open" button in the header, use the integrated terminal, or anything else that you need to do from the worktree directory.54You can open your IDE to the worktree using the "Open" button in the header, use the integrated terminal, or anything else that you need to do from the worktree directory.

57 55 

58![Worktree thread view with branch controls and worktree details](/images/codex/app/worktree-light.webp) ![Worktree thread view with branch controls and worktree details](/images/codex/app/worktree-dark.webp)56![Worktree thread view with branch controls and worktree details](/images/codex/app/worktree-light.webp)

59 

60![Worktree thread view with branch controls and worktree details](/images/codex/app/worktree-light.webp) ![Worktree thread view with branch controls and worktree details](/images/codex/app/worktree-dark.webp)

61 57 

62Remember, if you create a branch on a worktree, you can't check it out in any other worktree, including your local checkout.58Remember, if you create a branch on a worktree, you can't check it out in any other worktree, including your local checkout.

63 59 


74- **Overwrite**: Makes the destination checkout match the source checkout’s files and commit history.70- **Overwrite**: Makes the destination checkout match the source checkout’s files and commit history.

75- **Apply**: Calculates the source changes since the nearest shared commit and applies that patch onto the destination checkout, preserving destination commit history while bringing over source code changes (not source commits).71- **Apply**: Calculates the source changes since the nearest shared commit and applies that patch onto the destination checkout, preserving destination commit history while bringing over source code changes (not source commits).

76 72 

77![Sync worktree dialog with options to apply or pull changes](/images/codex/app/sync-worktree-light.webp) ![Sync worktree dialog with options to apply or pull changes](/images/codex/app/sync-worktree-dark.webp)73![Sync worktree dialog with options to apply or pull changes](/images/codex/app/sync-worktree-light.webp)

78 

79![Sync worktree dialog with options to apply or pull changes](/images/codex/app/sync-worktree-light.webp) ![Sync worktree dialog with options to apply or pull changes](/images/codex/app/sync-worktree-dark.webp)

80 74 

81You can create multiple worktrees and sync them to the same feature branch to split up your work into parallel threads.75You can create multiple worktrees and sync them to the same feature branch to split up your work into parallel threads.

82 76 


151is cleaned up. However, Codex saves a snapshot of the worktree prior to145is cleaned up. However, Codex saves a snapshot of the worktree prior to

152cleaning it up and offers to restore it if you reopen the thread associated146cleaning it up and offers to restore it if you reopen the thread associated

153with it.147with it.

154 

155[Previous

156 

157Automations](https://developers.openai.com/codex/app/automations)[Next

158 

159Local Environments](https://developers.openai.com/codex/app/local-environments)

auth.md +11 −2

Details

1# Authentication1# Authentication

2 2 

3Sign-in methods for Codex

4 

5## OpenAI authentication3## OpenAI authentication

6 4 

7Codex supports two ways to sign in when using OpenAI models:5Codex supports two ways to sign in when using OpenAI models:


11 9 

12Codex cloud requires signing in with ChatGPT. The Codex CLI and IDE extension support both sign-in methods.10Codex cloud requires signing in with ChatGPT. The Codex CLI and IDE extension support both sign-in methods.

13 11 

12Your sign-in method also determines which admin controls and data-handling policies apply.

13 

14- With sign in with ChatGPT, Codex usage follows your ChatGPT workspace permissions, RBAC, and ChatGPT Enterprise retention and residency settings

15- With an API key, usage follows your API organization's retention and data-sharing settings instead

16 

17For the CLI, Sign in with ChatGPT is the default authentication path when no valid session is available.

18 

14### Sign in with ChatGPT19### Sign in with ChatGPT

15 20 

16When you sign in with ChatGPT from the Codex app, CLI, or IDE Extension, Codex opens a browser window for you to complete the login flow. After you sign in, the browser returns an access token to the CLI or IDE extension.21When you sign in with ChatGPT from the Codex app, CLI, or IDE Extension, Codex opens a browser window for you to complete the login flow. After you sign in, the browser returns an access token to the CLI or IDE extension.


21 26 

22OpenAI bills API key usage through your OpenAI Platform account at standard API rates. See the [API pricing page](https://openai.com/api/pricing/).27OpenAI bills API key usage through your OpenAI Platform account at standard API rates. See the [API pricing page](https://openai.com/api/pricing/).

23 28 

29Recommendation is to use API key authentication for programmatic Codex CLI workflows (for example CI/CD jobs). Do not expose Codex execution in untrusted or publicly triggerable environments.

30 

24## Secure your Codex cloud account31## Secure your Codex cloud account

25 32 

26Codex cloud interacts directly with your codebase, so it needs stronger security than many other ChatGPT features. Enable multi-factor authentication (MFA).33Codex cloud interacts directly with your codebase, so it needs stronger security than many other ChatGPT features. Enable multi-factor authentication (MFA).


45 52 

46Codex caches login details locally in a plaintext file at `~/.codex/auth.json` or in your OS-specific credential store.53Codex caches login details locally in a plaintext file at `~/.codex/auth.json` or in your OS-specific credential store.

47 54 

55For sign in with ChatGPT sessions, Codex refreshes tokens automatically during use before they expire, so active sessions usually continue without requiring another browser login.

56 

48## Credential storage57## Credential storage

49 58 

50Use `cli_auth_credentials_store` to control where the Codex CLI stores cached credentials:59Use `cli_auth_credentials_store` to control where the Codex CLI stores cached credentials:

cli.md +0 −6

Details

1# Codex CLI1# Codex CLI

2 2 

3Pair with Codex in your terminal

4 

5Codex CLI is OpenAI's coding agent that you can run locally from your terminal. It can read, change, and run code on your machine in the selected directory.3Codex CLI is OpenAI's coding agent that you can run locally from your terminal. It can read, change, and run code on your machine in the selected directory.

6It's [open source](https://github.com/openai/codex) and built in Rust for speed and efficiency.4It's [open source](https://github.com/openai/codex) and built in Rust for speed and efficiency.

7 5 


74Give Codex access to additional third-party tools and context with Model Context Protocol (MCP).](https://developers.openai.com/codex/mcp)[### Approval modes72Give Codex access to additional third-party tools and context with Model Context Protocol (MCP).](https://developers.openai.com/codex/mcp)[### Approval modes

75 73 

76Choose the approval mode that matches your comfort level before Codex edits or runs commands.](https://developers.openai.com/codex/cli/features#approval-modes)74Choose the approval mode that matches your comfort level before Codex edits or runs commands.](https://developers.openai.com/codex/cli/features#approval-modes)

77 

78[Next

79 

80Features](https://developers.openai.com/codex/cli/features)

cli/features.md +7 −8

Details

1# Codex CLI features1# Codex CLI features

2 2 

3Overview of functionality in the Codex terminal client

4 

5Codex supports workflows beyond chat. Use this guide to learn what each one unlocks and when to use it.3Codex supports workflows beyond chat. Use this guide to learn what each one unlocks and when to use it.

6 4 

7## Running in interactive mode5## Running in interactive mode


22 20 

23- Send prompts, code snippets, or screenshots (see [image inputs](#image-inputs)) directly into the composer.21- Send prompts, code snippets, or screenshots (see [image inputs](#image-inputs)) directly into the composer.

24- Watch Codex explain its plan before making a change, and approve or reject steps inline.22- Watch Codex explain its plan before making a change, and approve or reject steps inline.

23- Read syntax-highlighted markdown code blocks and diffs in the TUI, then use `/theme` to preview and save a preferred color theme.

25- Navigate draft history in the composer with <kbd>Up</kbd>/<kbd>Down</kbd>; Codex restores prior draft text and image placeholders.24- Navigate draft history in the composer with <kbd>Up</kbd>/<kbd>Down</kbd>; Codex restores prior draft text and image placeholders.

26- Press <kbd>Ctrl</kbd>+<kbd>C</kbd> or use `/exit` to close the interactive session when you're done.25- Press <kbd>Ctrl</kbd>+<kbd>C</kbd> or use `/exit` to close the interactive session when you're done.

27 26 


85 84 

86Codex accepts common formats such as PNG and JPEG. Use comma-separated filenames for two or more images, and combine them with text instructions to add context.85Codex accepts common formats such as PNG and JPEG. Use comma-separated filenames for two or more images, and combine them with text instructions to add context.

87 86 

87## Syntax highlighting and themes

88 

89The TUI syntax-highlights fenced markdown code blocks and file diffs so code is easier to scan during reviews and debugging.

90 

91Use `/theme` to open the theme picker, preview themes live, and save your selection to `tui.theme` in `~/.codex/config.toml`. You can also add custom `.tmTheme` files under `$CODEX_HOME/themes` and select them in the picker.

92 

88## Running local code review93## Running local code review

89 94 

90Type `/review` in the CLI to open Codex's review presets. The CLI launches a dedicated reviewer that reads the diff you select and reports prioritized, actionable findings without touching your working tree. By default it uses the current session model; set `review_model` in `config.toml` to override.95Type `/review` in the CLI to open Codex's review presets. The CLI launches a dedicated reviewer that reads the diff you select and reports prioritized, actionable findings without touching your working tree. By default it uses the current session model; set `review_model` in `config.toml` to override.


192- Launch Codex from any directory using `codex --cd <path>` to set the working root without running `cd` first. The active path appears in the TUI header.197- Launch Codex from any directory using `codex --cd <path>` to set the working root without running `cd` first. The active path appears in the TUI header.

193- Expose more writable roots with `--add-dir` (for example, `codex --cd apps/frontend --add-dir ../backend --add-dir ../shared`) when you need to coordinate changes across more than one project.198- Expose more writable roots with `--add-dir` (for example, `codex --cd apps/frontend --add-dir ../backend --add-dir ../shared`) when you need to coordinate changes across more than one project.

194- Make sure your environment is already set up before launching Codex so it doesn't spend tokens probing what to activate. For example, source your Python virtual environment (or other language environments), start any required daemons, and export the environment variables you expect to use ahead of time.199- Make sure your environment is already set up before launching Codex so it doesn't spend tokens probing what to activate. For example, source your Python virtual environment (or other language environments), start any required daemons, and export the environment variables you expect to use ahead of time.

195 

196[Previous

197 

198Overview](https://developers.openai.com/codex/cli)[Next

199 

200Command Line Options](https://developers.openai.com/codex/cli/reference)

Details

1# Command line options1# Command line options

2 2 

3Options and flags for the Codex terminal client

4 

5## How to read this reference3## How to read this reference

6 4 

7This page catalogs every documented Codex CLI command and flag. Use the interactive tables to search by key or description. Each section indicates whether the option is stable or experimental and calls out risky combinations.5This page catalogs every documented Codex CLI command and flag. Use the interactive tables to search by key or description. Each section indicates whether the option is stable or experimental and calls out risky combinations.


1477- [Config basics](https://developers.openai.com/codex/config-basic): persist defaults like the model and provider.1475- [Config basics](https://developers.openai.com/codex/config-basic): persist defaults like the model and provider.

1478- [Advanced Config](https://developers.openai.com/codex/config-advanced): profiles, providers, sandbox tuning, and integrations.1476- [Advanced Config](https://developers.openai.com/codex/config-advanced): profiles, providers, sandbox tuning, and integrations.

1479- [AGENTS.md](https://developers.openai.com/codex/guides/agents-md): conceptual overview of Codex agent capabilities and best practices.1477- [AGENTS.md](https://developers.openai.com/codex/guides/agents-md): conceptual overview of Codex agent capabilities and best practices.

1480 

1481[Previous

1482 

1483Features](https://developers.openai.com/codex/cli/features)[Next

1484 

1485Slash commands](https://developers.openai.com/codex/cli/slash-commands)

Details

1# Slash commands in Codex CLI1# Slash commands in Codex CLI

2 2 

3Control Codex during interactive sessions

4 

5Slash commands give you fast, keyboard-first control over Codex. Type `/` in the composer to open the slash popup, choose a command, and Codex will perform actions such as switching models, adjusting permissions, or summarizing long conversations without leaving the terminal.3Slash commands give you fast, keyboard-first control over Codex. Type `/` in the composer to open the slash popup, choose a command, and Codex will perform actions such as switching models, adjusting permissions, or summarizing long conversations without leaving the terminal.

6 4 

7This guide shows you how to:5This guide shows you how to:


2321. Type `/quit` (or `/exit`) and press Enter.2301. Type `/quit` (or `/exit`) and press Enter.

233 231 

234Expected: Codex exits immediately. Save or commit any important work first.232Expected: Codex exits immediately. Save or commit any important work first.

235 

236[Previous

237 

238Command Line Options](https://developers.openai.com/codex/cli/reference)

cloud.md +0 −6

Details

1# Codex web1# Codex web

2 2 

3Delegate to Codex in the cloud

4 

5Codex is OpenAI's coding agent that can read, edit, and run code. It helps you build faster, fix bugs, and understand unfamiliar code. With Codex cloud, Codex can work on tasks in the background (including in parallel) using its own cloud environment.3Codex is OpenAI's coding agent that can read, edit, and run code. It helps you build faster, fix bugs, and understand unfamiliar code. With Codex cloud, Codex can work on tasks in the background (including in parallel) using its own cloud environment.

6 4 

7## Codex web setup5## Codex web setup


27Tag `@codex` on issues and pull requests to spin up tasks and propose changes directly from GitHub.](https://developers.openai.com/codex/integrations/github)[### Control internet access25Tag `@codex` on issues and pull requests to spin up tasks and propose changes directly from GitHub.](https://developers.openai.com/codex/integrations/github)[### Control internet access

28 26 

29Decide whether Codex can reach the public internet from cloud environments, and when to enable it.](https://developers.openai.com/codex/cloud/internet-access)27Decide whether Codex can reach the public internet from cloud environments, and when to enable it.](https://developers.openai.com/codex/cloud/internet-access)

30 

31[Next

32 

33Environments](https://developers.openai.com/codex/cloud/environments)

Details

1# Cloud environments1# Cloud environments

2 2 

3Customize dependencies and tools for Codex

4 

5Use environments to control what Codex installs and runs during cloud tasks. For example, you can add dependencies, install tools like linters and formatters, and set environment variables.3Use environments to control what Codex installs and runs during cloud tasks. For example, you can add dependencies, install tools like linters and formatters, and set environment variables.

6 4 

7Configure environments in [Codex settings](https://chatgpt.com/codex/settings/environments).5Configure environments in [Codex settings](https://chatgpt.com/codex/settings/environments).


83Internet access is available during the setup script phase to install dependencies. During the agent phase, internet access is off by default, but you can configure limited or unrestricted access. See [agent internet access](https://developers.openai.com/codex/cloud/internet-access).81Internet access is available during the setup script phase to install dependencies. During the agent phase, internet access is off by default, but you can configure limited or unrestricted access. See [agent internet access](https://developers.openai.com/codex/cloud/internet-access).

84 82 

85Environments run behind an HTTP/HTTPS network proxy for security and abuse prevention purposes. All outbound internet traffic passes through this proxy.83Environments run behind an HTTP/HTTPS network proxy for security and abuse prevention purposes. All outbound internet traffic passes through this proxy.

86 

87[Previous

88 

89Overview](https://developers.openai.com/codex/cloud)[Next

90 

91Internet Access](https://developers.openai.com/codex/cloud/internet-access)

Details

1# Agent internet access1# Agent internet access

2 2 

3Control internet access for Codex cloud tasks

4 

5By default, Codex blocks internet access during the agent phase. Setup scripts still run with internet access so you can install dependencies. You can enable agent internet access per environment when you need it.3By default, Codex blocks internet access during the agent phase. Setup scripts still run with internet access so you can install dependencies. You can enable agent internet access per environment when you need it.

6 4 

7## Risks of agent internet access5## Risks of agent internet access


141visualstudio.com139visualstudio.com

142yarnpkg.com140yarnpkg.com

143```141```

144 

145[Previous

146 

147Environments](https://developers.openai.com/codex/cloud/environments)

codex.md +3 −7

Details

1# Codex1# Codex

2 2 

3One agent for everywhere you code3![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-light.webp)

4 

5![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-light.webp) ![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-dark.webp)

6 

7![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-light.webp) ![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-dark.webp)

8 4 

9Codex is OpenAI's coding agent for software development. ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. It can help you:5Codex is OpenAI's coding agent for software development. ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. It can help you:

10 6 


26 22 

27 Learn more](https://developers.openai.com/codex/explore) [### Community23 Learn more](https://developers.openai.com/codex/explore) [### Community

28 24 

29Join the OpenAI Discord to ask questions, share workflows and connect with others.25Explore Codex Ambassadors and upcoming community meetups by location.

30 26 

31 Join the Discord](https://discord.gg/openai)27 See community](https://developers.openai.com/codex/community/meetups)

community/meetups.md +17 −0 added

Details

1# Codex Meetups

2 

3Mar 12

4 

5![Stylized city cover for Orlando](https://developers.openai.com/codex/meetups/orlando.webp)

6 

7UpcomingMar 12

8 

9Orlando, FL, USA

10 

11### Orlando

12 

13March 12, 2026

14 

15Hosted by [Leonard](https://www.linkedin.com/in/lgofman/), [Michael](https://www.linkedin.com/in/michael-rusudev/), and [Carlos](https://www.linkedin.com/in/cataladev/)

16 

17[Register now](https://luma.com/39y2dvwx)[Share city](https://developers.openai.com/codex/community/meetups?city=Orlando)

concepts/customization.md +150 −0 added

Details

1# Customization

2 

3Customization is how you make Codex work the way your team works.

4 

5In Codex, customization comes from a few layers that work together:

6 

7- **Project guidance (`AGENTS.md`)** for persistent instructions

8- **Skills** for reusable workflows and domain expertise

9- **[MCP](https://developers.openai.com/codex/mcp)** for access to external tools and shared systems

10- **[Multi-agents](https://developers.openai.com/codex/concepts/multi-agents)** for delegating work to specialized sub-agents

11 

12These are complementary, not competing. `AGENTS.md` shapes behavior, skills package repeatable processes, and [MCP](https://developers.openai.com/codex/mcp) connects Codex to systems outside the local workspace.

13 

14## AGENTS Guidance

15 

16`AGENTS.md` gives Codex durable project guidance that travels with your repository and applies before the agent starts work. Keep it small.

17 

18Use it for the rules you want Codex to follow every time in a repo, such as:

19 

20- Build and test commands

21- Review expectations

22- Repo-specific conventions

23- Directory-specific instructions

24 

25When the agent makes incorrect assumptions about your codebase, correct them in `AGENTS.md` and ask the agent to update `AGENTS.md` so the fix persists. Treat it as a feedback loop.

26 

27**Updating `AGENTS.md`:** Start with only the instructions that matter. Codify recurring review feedback, put guidance in the closest directory where it applies, and tell the agent to update `AGENTS.md` when you correct something so future sessions inherit the fix.

28 

29### When to update `AGENTS.md`

30 

31- **Repeated mistakes**: If the agent makes the same mistake repeatedly, add a rule.

32- **Too much reading**: If it finds the right files but reads too many documents, add routing guidance (which directories/files to prioritize).

33- **Recurring PR feedback**: If you leave the same feedback more than once, codify it.

34- **In GitHub**: In a pull request comment, tag `@codex` with a request (for example, `@codex add this to AGENTS.md`) to delegate the update to a cloud task.

35- **Automate drift checks**: Use [automations](https://developers.openai.com/codex/app/automations) to run recurring checks (for example, daily) that look for guidance gaps and suggest what to add to `AGENTS.md`.

36 

37Pair `AGENTS.md` with infrastructure that enforces those rules: pre-commit hooks, linters, and type checkers catch issues before you see them, so the system gets smarter about preventing recurring mistakes.

38 

39Codex can load guidance from multiple locations: a global file in your Codex home directory (for you as a developer) and repo-specific files that teams can check in. Files closer to the working directory take precedence.

40Use the global file to shape how Codex communicates with you (for example, review style, verbosity, and defaults), and keep repo files focused on team and codebase rules.

41 

42- ~/.codex/

43 

44 - AGENTS.md Global (for you as a developer)

45- repo-root/

46 

47 - AGENTS.md Repo-specific (for your team)

48 

49[Custom instructions with AGENTS.md](https://developers.openai.com/codex/guides/agents-md)

50 

51## Skills

52 

53Skills give Codex reusable capabilities for repeatable workflows.

54Skills are often the best fit for reusable workflows because they support richer instructions, scripts, and references while staying reusable across tasks.

55Skills are loaded and visible to the agent (at least their metadata), so Codex can discover and choose them implicitly. This keeps rich workflows available without bloating context up front.

56 

57A skill is typically a `SKILL.md` file plus optional scripts, references, and assets.

58 

59- my-skill/

60 

61 - SKILL.md Required: instructions + metadata

62 - scripts/ Optional: executable code

63 - references/ Optional: documentation

64 - assets/ Optional: templates, resources

65 

66The skill directory can include a `scripts/` folder with CLI scripts that Codex invokes as part of the workflow (for example, seed data or run validations). When the workflow needs external systems (issue trackers, design tools, docs servers), pair the skill with [MCP](https://developers.openai.com/codex/mcp).

67 

68Example `SKILL.md`:

69 

70```md

71---

72name: commit

73description: Stage and commit changes in semantic groups. Use when the user wants to commit, organize commits, or clean up a branch before pushing.

74---

75 

761. Do not run `git add .`. Stage files in logical groups by purpose.

772. Group into separate commits: feat → test → docs → refactor → chore.

783. Write concise commit messages that match the change scope.

794. Keep each commit focused and reviewable.

80```

81 

82Use skills for:

83 

84- Repeatable workflows (release steps, review routines, docs updates)

85- Team-specific expertise

86- Procedures that need examples, references, or helper scripts

87 

88Skills can be global (in your user directory, for you as a developer) or repo-specific (checked into `.agents/skills`, for your team). Put repo skills in `.agents/skills` when the workflow applies to that project; use your user directory for skills you want across all repos.

89 

90| Layer | Global | Repo |

91| :----- | :--------------------- | :--------------------------------------------- |

92| AGENTS | `~/.codex/AGENTS.md` | `AGENTS.md` in repo root or nested dirs |

93| Skills | `$HOME/.agents/skills` | `.agents/skills` in repo |

94 

95Codex uses progressive disclosure for skills:

96 

97- It starts with metadata (`name`, `description`) for discovery

98- It loads `SKILL.md` only when a skill is chosen

99- It reads references or runs scripts only when needed

100 

101Skills can be invoked explicitly, and Codex can also choose them implicitly when the task matches the skill description. Clear skill descriptions improve triggering reliability.

102 

103[Agent Skills](https://developers.openai.com/codex/skills)

104 

105## MCP

106 

107MCP (Model Context Protocol) is the standard way to connect Codex to external tools and context providers.

108It’s especially useful for remotely hosted systems such as Figma, Linear, Jira, GitHub, or internal knowledge services your team depends on.

109 

110Use MCP when Codex needs capabilities that live outside the local repo, such as issue trackers, design tools, browsers, or shared documentation systems.

111 

112A useful mental model:

113 

114- **Host**: Codex

115- **Client**: the MCP connection inside Codex

116- **Server**: the external tool or context provider

117 

118MCP servers can expose:

119 

120- **Tools** (actions)

121- **Resources** (readable data)

122- **Prompts** (reusable prompt templates)

123 

124This separation helps you reason about trust and capability boundaries. Some servers mainly provide context, while others expose powerful actions.

125 

126In practice, MCP is often most useful when paired with skills:

127 

128- A skill defines the workflow and names the MCP tools to use

129 

130[Model Context Protocol](https://developers.openai.com/codex/mcp)

131 

132## Multi-agents

133 

134You can create different agents with different roles and prompt them to use tools differently. For example, one agent might run specific testing commands and configurations, while another has MCP servers that fetch production logs for debugging. Each sub-agent stays focused and uses the right tools for its job.

135 

136[Multi-agents concepts](https://developers.openai.com/codex/concepts/multi-agents)

137 

138## Skills + MCP together

139 

140Skills plus MCP is where it all comes together: skills define repeatable workflows, and MCP connects them to external tools and systems.

141If a skill depends on MCP, declare that dependency in `agents/openai.yaml` so Codex can install and wire it automatically (see [Agent Skills](https://developers.openai.com/codex/skills)).

142 

143## Next step

144 

145Build in this order:

146 

1471. [Custom instructions with AGENTS.md](https://developers.openai.com/codex/guides/agents-md) so Codex follows your repo conventions. Add pre-commit hooks and linters to enforce those rules.

1482. [Skills](https://developers.openai.com/codex/skills) so you never have the same conversation twice. Skills can include a `scripts/` directory with CLI scripts or pair with [MCP](https://developers.openai.com/codex/mcp) for external systems.

1493. [MCP](https://developers.openai.com/codex/mcp) when workflows need external systems (Linear, JIRA, docs servers, design tools).

1504. [Multi-agents](https://developers.openai.com/codex/multi-agent) when you’re ready to delegate noisy or specialized tasks to sub-agents.

Details

1# Cyber Safety1# Cyber Safety

2 2 

3Cybersecurity safeguards and trusted access for Codex users

4 

5[GPT-5.3-Codex](https://openai.com/index/introducing-gpt-5-3-codex/) is the first model we are treating as High cybersecurity capability under our [Preparedness Framework](https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf), which requires additional safeguards. These safeguards include training the model to refuse clearly malicious requests like stealing credentials.3[GPT-5.3-Codex](https://openai.com/index/introducing-gpt-5-3-codex/) is the first model we are treating as High cybersecurity capability under our [Preparedness Framework](https://cdn.openai.com/pdf/18a02b5d-6b67-4cec-ab64-68cdfbddebcd/preparedness-framework-v2.pdf), which requires additional safeguards. These safeguards include training the model to refuse clearly malicious requests like stealing credentials.

6 4 

7In addition to safety training, automated classifier-based monitors detect signals of suspicious cyber activity and route high-risk traffic to a less cyber-capable model (GPT-5.2). We expect a very small portion of traffic to be affected by these mitigations, and are working to refine our policies, classifiers, and in-product notifications.5In addition to safety training, automated classifier-based monitors detect signals of suspicious cyber activity and route high-risk traffic to a less cyber-capable model (GPT-5.2). We expect a very small portion of traffic to be affected by these mitigations, and are working to refine our policies, classifiers, and in-product notifications.

concepts/multi-agents.md +53 −0 added

Details

1# Multi-agents

2 

3Codex can run multi-agent workflows by spawning specialized agents in parallel and collecting their results in one response.

4 

5This page explains the core concepts and tradeoffs. For setup, agent configuration, and examples, see [Multi-agents](https://developers.openai.com/codex/multi-agent).

6 

7## Why multi-agent workflows help

8 

9Even with large context windows, models have limits. If you flood the main conversation (where you’re defining requirements, constraints, and decisions) with noisy intermediate output such as exploration notes, test logs, stack traces, and command output, the session can become less reliable over time.

10 

11This is often described as:

12 

13- **Context pollution**: useful information gets buried under noisy intermediate output.

14- **Context rot**: performance degrades as the conversation fills up with less relevant details.

15 

16For background, see Chroma’s writeup on [context rot](https://research.trychroma.com/context-rot).

17 

18Multi-agent workflows help by moving noisy work off the main thread:

19 

20- Keep the **main agent** focused on requirements, decisions, and final outputs.

21- Run specialized **sub-agents** in parallel for exploration, tests, or log analysis.

22- Return **summaries** from sub-agents instead of raw intermediate output.

23 

24As a starting point, use parallel agents for tasks that mostly read (exploration, tests, triage, and summarization). Be more careful with parallel write-heavy workflows, because multiple agents editing code at once can create conflicts and increase coordination overhead.

25 

26## Core terms

27 

28Codex uses a few related terms in multi-agent workflows:

29 

30- **Multi-agent**: A workflow where Codex runs multiple agents in parallel and combines their results.

31- **Sub-agent**: A delegated agent that Codex starts to handle a specific task.

32- **Agent thread**: The CLI thread for an agent, which you can inspect and switch between with `/agent`.

33 

34## Choosing models and reasoning

35 

36Different agents benefit from different model and reasoning settings.

37 

38`gpt-5.3-codex-spark` is available in research preview for ChatGPT Pro

39subscribers. See [Models](https://developers.openai.com/codex/models) for current availability. If you’re

40using Codex via the API, use GPT-5.2-Codex today.

41 

42### Model choice

43 

44- **`gpt-5.3-codex`**: Use for agents that need stronger reasoning, such as code review, security analysis, multi-step implementation, or tasks with ambiguous requirements. The main agent and agents that propose or apply edits usually fit here.

45- **`gpt-5.3-codex-spark`**: Use for agents that prioritize speed over depth, such as exploration, read-heavy scans, or quick summarization tasks. Spark works well for parallel workers that return distilled results to the main agent.

46 

47### Reasoning effort (`model_reasoning_effort`)

48 

49- **`high`**: Use when an agent needs to trace complex logic, validate assumptions, or work through edge cases (for example, reviewer or security-focused agents).

50- **`medium`**: A balanced default for most agents.

51- **`low`**: Use when the task is straightforward and speed matters most.

52 

53Higher reasoning effort increases response time and token usage, but it can improve quality for complex work. For details, see [Models](https://developers.openai.com/codex/models), [Config basics](https://developers.openai.com/codex/config-basic), and [Configuration Reference](https://developers.openai.com/codex/config-reference).

Details

1# Advanced Configuration1# Advanced Configuration

2 2 

3More advanced configuration options for Codex local clients

4 

5Use these options when you need more control over providers, policies, and integrations. For a quick start, see [Config basics](https://developers.openai.com/codex/config-basic).3Use these options when you need more control over providers, policies, and integrations. For a quick start, see [Config basics](https://developers.openai.com/codex/config-basic).

6 4 

5For background on project guidance, reusable capabilities, custom slash commands, multi-agent workflows, and integrations, see [Customization](https://developers.openai.com/codex/concepts/customization). For configuration keys, see [Configuration Reference](https://developers.openai.com/codex/config-reference).

6 

7## Profiles7## Profiles

8 8 

9Profiles let you save named sets of configuration values and switch between them from the CLI.9Profiles let you save named sets of configuration values and switch between them from the CLI.


17```toml17```toml

18model = "gpt-5-codex"18model = "gpt-5-codex"

19approval_policy = "on-request"19approval_policy = "on-request"

20model_catalog_json = "/Users/me/.codex/model-catalogs/default.json"

20 21 

21[profiles.deep-review]22[profiles.deep-review]

22model = "gpt-5-pro"23model = "gpt-5-pro"

23model_reasoning_effort = "high"24model_reasoning_effort = "high"

24approval_policy = "never"25approval_policy = "never"

26model_catalog_json = "/Users/me/.codex/model-catalogs/deep-review.json"

25 27 

26[profiles.lightweight]28[profiles.lightweight]

27model = "gpt-4.1"29model = "gpt-4.1"


30 32 

31To make a profile the default, add `profile = "deep-review"` at the top level of `config.toml`. Codex loads that profile unless you override it on the command line.33To make a profile the default, add `profile = "deep-review"` at the top level of `config.toml`. Codex loads that profile unless you override it on the command line.

32 34 

35Profiles can also override `model_catalog_json`. When both the top level and the selected profile set `model_catalog_json`, Codex prefers the profile value.

36 

33## One-off overrides from the CLI37## One-off overrides from the CLI

34 38 

35In addition to editing `~/.codex/config.toml`, you can override configuration for a single run from the CLI:39In addition to editing `~/.codex/config.toml`, you can override configuration for a single run from the CLI:


184 188 

185## Approval policies and sandbox modes189## Approval policies and sandbox modes

186 190 

187Pick approval strictness (affects when Codex pauses) and sandbox level (affects file/network access). See [Sandbox & approvals](https://developers.openai.com/codex/security) for deeper examples.191Pick approval strictness (affects when Codex pauses) and sandbox level (affects file/network access).

192 

193For operational details that are easy to miss while editing `config.toml`, see [Common sandbox and approval combinations](https://developers.openai.com/codex/security#common-sandbox-and-approval-combinations), [Protected paths in writable roots](https://developers.openai.com/codex/security#protected-paths-in-writable-roots), and [Network access](https://developers.openai.com/codex/security#network-access).

194 

195You can also use a granular reject policy (`approval_policy = { reject = { ... } }`) to auto-reject only selected prompt categories (sandbox approvals, execpolicy rule prompts, or MCP elicitations) while keeping other prompts interactive.

188 196 

189```197```

190approval_policy = "untrusted" # Other options: on-request, never198approval_policy = "untrusted" # Other options: on-request, never, or { reject = { ... } }

191sandbox_mode = "workspace-write"199sandbox_mode = "workspace-write"

200allow_login_shell = false # Optional hardening: disallow login shells for shell tools

192 201 

193[sandbox_workspace_write]202[sandbox_workspace_write]

194exclude_tmpdir_env_var = false # Allow $TMPDIR203exclude_tmpdir_env_var = false # Allow $TMPDIR


197network_access = false # Opt in to outbound network206network_access = false # Opt in to outbound network

198```207```

199 208 

209Need the complete key list (including profile-scoped overrides and requirements constraints)? See [Configuration Reference](https://developers.openai.com/codex/config-reference) and [Managed configuration](https://developers.openai.com/codex/security#managed-configuration).

210 

200In workspace-write mode, some environments keep `.git/` and `.codex/`211In workspace-write mode, some environments keep `.git/` and `.codex/`

201 read-only even when the rest of the workspace is writable. This is why212 read-only even when the rest of the workspace is writable. This is why

202 commands like `git commit` may still require approval to run outside the213 commands like `git commit` may still require approval to run outside the

config-basic.md +19 −7

Details

1# Config basics1# Config basics

2 2 

3Learn the basics of configuring your local Codex client

4 

5Codex reads configuration details from more than one location. Your personal defaults live in `~/.codex/config.toml`, and you can add project overrides with `.codex/config.toml` files. For security, Codex loads project config files only when you trust the project.3Codex reads configuration details from more than one location. Your personal defaults live in `~/.codex/config.toml`, and you can add project overrides with `.codex/config.toml` files. For security, Codex loads project config files only when you trust the project.

6 4 

7## Codex configuration file5## Codex configuration file


13The CLI and IDE extension share the same configuration layers. You can use them to:11The CLI and IDE extension share the same configuration layers. You can use them to:

14 12 

15- Set the default model and provider.13- Set the default model and provider.

16- Configure [approval policies and sandbox settings](https://developers.openai.com/codex/security).14- Configure [approval policies and sandbox settings](https://developers.openai.com/codex/security#sandbox-and-approvals).

17- Configure [MCP servers](https://developers.openai.com/codex/mcp).15- Configure [MCP servers](https://developers.openai.com/codex/mcp).

18 16 

19## Configuration precedence17## Configuration precedence


35 33 

36On managed machines, your organization may also enforce constraints via34On managed machines, your organization may also enforce constraints via

37 `requirements.toml` (for example, disallowing `approval_policy = "never"` or35 `requirements.toml` (for example, disallowing `approval_policy = "never"` or

38`sandbox_mode = "danger-full-access"`). See [Security](https://developers.openai.com/codex/security).36 `sandbox_mode = "danger-full-access"`). See [Managed

37configuration](https://developers.openai.com/codex/security#managed-configuration) and [Admin-enforced

38 requirements](https://developers.openai.com/codex/enterprise/managed-configuration#admin-enforced-requirements-requirementstoml).

39 39 

40## Common configuration options40## Common configuration options

41 41 


57approval_policy = "on-request"57approval_policy = "on-request"

58```58```

59 59 

60For behavior differences between `untrusted`, `on-request`, and `never`, see [Run without approval prompts](https://developers.openai.com/codex/security#run-without-approval-prompts) and [Common sandbox and approval combinations](https://developers.openai.com/codex/security#common-sandbox-and-approval-combinations).

61 

60#### Sandbox level62#### Sandbox level

61 63 

62Adjust how much filesystem and network access Codex has while executing commands.64Adjust how much filesystem and network access Codex has while executing commands.


65sandbox_mode = "workspace-write"67sandbox_mode = "workspace-write"

66```68```

67 69 

70For mode-by-mode behavior (including protected `.git`/`.codex` paths and network defaults), see [Sandbox and approvals](https://developers.openai.com/codex/security#sandbox-and-approvals), [Protected paths in writable roots](https://developers.openai.com/codex/security#protected-paths-in-writable-roots), and [Network access](https://developers.openai.com/codex/security#network-access).

71 

72#### Windows sandbox mode

73 

74When running Codex natively on Windows, set the native sandbox mode to `elevated` in the `windows` table. Use `unelevated` only if you do not have administrator permissions or if elevated setup fails.

75 

76```toml

77[windows]

78sandbox = "elevated" # Recommended

79# sandbox = "unelevated" # Fallback if admin permissions/setup are unavailable

80```

81 

68#### Web search mode82#### Web search mode

69 83 

70Codex enables web search by default for local tasks and serves results from a web search cache. The cache is an OpenAI-maintained index of web results, so cached mode returns pre-indexed results instead of fetching live pages. This reduces exposure to prompt injection from arbitrary live content, but you should still treat web results as untrusted. If you are using `--yolo` or another [full access sandbox setting](https://developers.openai.com/codex/security), web search defaults to live results. Choose a mode with `web_search`:84Codex enables web search by default for local tasks and serves results from a web search cache. The cache is an OpenAI-maintained index of web results, so cached mode returns pre-indexed results instead of fetching live pages. This reduces exposure to prompt injection from arbitrary live content, but you should still treat web results as untrusted. If you are using `--yolo` or another [full access sandbox setting](https://developers.openai.com/codex/security#common-sandbox-and-approval-combinations), web search defaults to live results. Choose a mode with `web_search`:

71 85 

72- `"cached"` (default) serves results from the web search cache.86- `"cached"` (default) serves results from the web search cache.

73- `"live"` fetches the most recent data from the web (same as `--search`).87- `"live"` fetches the most recent data from the web (same as `--search`).


136| `apply_patch_freeform` | false | Experimental | Include the freeform `apply_patch` tool |150| `apply_patch_freeform` | false | Experimental | Include the freeform `apply_patch` tool |

137| `apps` | false | Experimental | Enable ChatGPT Apps/connectors support |151| `apps` | false | Experimental | Enable ChatGPT Apps/connectors support |

138| `apps_mcp_gateway` | false | Experimental | Route Apps MCP calls through `https://api.openai.com/v1/connectors/mcp/` instead of legacy routing |152| `apps_mcp_gateway` | false | Experimental | Route Apps MCP calls through `https://api.openai.com/v1/connectors/mcp/` instead of legacy routing |

139| `elevated_windows_sandbox` | false | Experimental | Use the elevated Windows sandbox pipeline |

140| `collaboration_modes` | true | Stable | Enable collaboration modes such as plan mode |153| `collaboration_modes` | true | Stable | Enable collaboration modes such as plan mode |

141| `experimental_windows_sandbox` | false | Experimental | Use the Windows restricted-token sandbox |

142| `multi_agent` | false | Experimental | Enable multi-agent collaboration tools |154| `multi_agent` | false | Experimental | Enable multi-agent collaboration tools |

143| `personality` | true | Stable | Enable personality selection controls |155| `personality` | true | Stable | Enable personality selection controls |

144| `remote_models` | false | Experimental | Refresh remote model list before showing readiness |156| `remote_models` | false | Experimental | Refresh remote model list before showing readiness |

config-reference.md +246 −38

Details

1# Configuration Reference1# Configuration Reference

2 2 

3Complete reference for Codex config.toml and requirements.toml

4 

5Use this page as a searchable reference for Codex configuration files. For conceptual guidance and examples, start with [Config basics](https://developers.openai.com/codex/config-basic) and [Advanced Config](https://developers.openai.com/codex/config-advanced).3Use this page as a searchable reference for Codex configuration files. For conceptual guidance and examples, start with [Config basics](https://developers.openai.com/codex/config-basic) and [Advanced Config](https://developers.openai.com/codex/config-advanced).

6 4 

7## `config.toml`5## `config.toml`

8 6 

9User-level configuration lives in `~/.codex/config.toml`. You can also add project-scoped overrides in `.codex/config.toml` files. Codex loads project-scoped config files only when you trust the project.7User-level configuration lives in `~/.codex/config.toml`. You can also add project-scoped overrides in `.codex/config.toml` files. Codex loads project-scoped config files only when you trust the project.

10 8 

9For sandbox and approval keys (`approval_policy`, `sandbox_mode`, and `sandbox_workspace_write.*`), pair this reference with [Sandbox and approvals](https://developers.openai.com/codex/security#sandbox-and-approvals), [Protected paths in writable roots](https://developers.openai.com/codex/security#protected-paths-in-writable-roots), and [Network access](https://developers.openai.com/codex/security#network-access).

10 

11| Key | Type / Values | Details |11| Key | Type / Values | Details |

12| --- | --- | --- |12| --- | --- | --- |

13| `agents.<name>.config_file` | `string (path)` | Path to a TOML config layer for that role; relative paths resolve from the config file that declares the role. |13| `agents.<name>.config_file` | `string (path)` | Path to a TOML config layer for that role; relative paths resolve from the config file that declares the role. |

14| `agents.<name>.description` | `string` | Role guidance shown to Codex when choosing and spawning that agent type. |14| `agents.<name>.description` | `string` | Role guidance shown to Codex when choosing and spawning that agent type. |

15| `agents.max_depth` | `number` | Maximum nesting depth allowed for spawned agent threads (root sessions start at depth 0; default: 1). |

15| `agents.max_threads` | `number` | Maximum number of agent threads that can be open concurrently. |16| `agents.max_threads` | `number` | Maximum number of agent threads that can be open concurrently. |

16| `approval_policy` | `untrusted | on-request | never` | Controls when Codex pauses for approval before executing commands. `on-failure` is deprecated; use `on-request` for interactive runs or `never` for non-interactive runs. |17| `allow_login_shell` | `boolean` | Allow shell-based tools to use login-shell semantics. Defaults to `true`; when `false`, `login = true` requests are rejected and omitted `login` defaults to non-login shells. |

17| `apps.<id>.disabled_reason` | `unknown | user` | Optional reason attached when an app/connector is disabled. |18| `approval_policy` | `untrusted | on-request | never | { reject = { sandbox_approval = bool, rules = bool, mcp_elicitations = bool } }` | Controls when Codex pauses for approval before executing commands. You can also use `approval_policy = { reject = { ... } }` to auto-reject specific prompt categories while keeping other prompts interactive. `on-failure` is deprecated; use `on-request` for interactive runs or `never` for non-interactive runs. |

19| `approval_policy.reject.mcp_elicitations` | `boolean` | When `true`, MCP elicitation prompts are auto-rejected instead of shown to the user. |

20| `approval_policy.reject.rules` | `boolean` | When `true`, approvals triggered by execpolicy `prompt` rules are auto-rejected. |

21| `approval_policy.reject.sandbox_approval` | `boolean` | When `true`, sandbox escalation approval prompts are auto-rejected. |

22| `apps._default.destructive_enabled` | `boolean` | Default allow/deny for app tools with `destructive_hint = true`. |

23| `apps._default.enabled` | `boolean` | Default app enabled state for all apps unless overridden per app. |

24| `apps._default.open_world_enabled` | `boolean` | Default allow/deny for app tools with `open_world_hint = true`. |

25| `apps.<id>.default_tools_approval_mode` | `auto | prompt | approve` | Default approval behavior for tools in this app unless a per-tool override exists. |

26| `apps.<id>.default_tools_enabled` | `boolean` | Default enabled state for tools in this app unless a per-tool override exists. |

27| `apps.<id>.destructive_enabled` | `boolean` | Allow or block tools in this app that advertise `destructive_hint = true`. |

18| `apps.<id>.enabled` | `boolean` | Enable or disable a specific app/connector by id (default: true). |28| `apps.<id>.enabled` | `boolean` | Enable or disable a specific app/connector by id (default: true). |

29| `apps.<id>.open_world_enabled` | `boolean` | Allow or block tools in this app that advertise `open_world_hint = true`. |

30| `apps.<id>.tools.<tool>.approval_mode` | `auto | prompt | approve` | Per-tool approval behavior override for a single app tool. |

31| `apps.<id>.tools.<tool>.enabled` | `boolean` | Per-tool enabled override for an app tool (for example `repos/list`). |

32| `background_terminal_max_timeout` | `number` | Maximum poll window in milliseconds for empty `write_stdin` polls (background terminal polling). Default: `300000` (5 minutes). Replaces the older `background_terminal_timeout` key. |

19| `chatgpt_base_url` | `string` | Override the base URL used during the ChatGPT login flow. |33| `chatgpt_base_url` | `string` | Override the base URL used during the ChatGPT login flow. |

20| `check_for_update_on_startup` | `boolean` | Check for Codex updates on startup (set to false only when updates are centrally managed). |34| `check_for_update_on_startup` | `boolean` | Check for Codex updates on startup (set to false only when updates are centrally managed). |

21| `cli_auth_credentials_store` | `file | keyring | auto` | Control where the CLI stores cached credentials (file-based auth.json vs OS keychain). |35| `cli_auth_credentials_store` | `file | keyring | auto` | Control where the CLI stores cached credentials (file-based auth.json vs OS keychain). |


30| `features.apps_mcp_gateway` | `boolean` | Route Apps MCP calls through the OpenAI connectors MCP gateway (`https://api.openai.com/v1/connectors/mcp/`) instead of legacy routing (experimental). |44| `features.apps_mcp_gateway` | `boolean` | Route Apps MCP calls through the OpenAI connectors MCP gateway (`https://api.openai.com/v1/connectors/mcp/`) instead of legacy routing (experimental). |

31| `features.child_agents_md` | `boolean` | Append AGENTS.md scope/precedence guidance even when no AGENTS.md is present (experimental). |45| `features.child_agents_md` | `boolean` | Append AGENTS.md scope/precedence guidance even when no AGENTS.md is present (experimental). |

32| `features.collaboration_modes` | `boolean` | Enable collaboration modes such as plan mode (stable; on by default). |46| `features.collaboration_modes` | `boolean` | Enable collaboration modes such as plan mode (stable; on by default). |

33| `features.elevated_windows_sandbox` | `boolean` | Enable the elevated Windows sandbox pipeline (experimental). |

34| `features.experimental_windows_sandbox` | `boolean` | Run the Windows restricted-token sandbox (experimental). |

35| `features.multi_agent` | `boolean` | Enable multi-agent collaboration tools (`spawn\_agent`, `send\_input`, `resume\_agent`, `wait`, and `close\_agent`) (experimental; off by default). |47| `features.multi_agent` | `boolean` | Enable multi-agent collaboration tools (`spawn\_agent`, `send\_input`, `resume\_agent`, `wait`, and `close\_agent`) (experimental; off by default). |

36| `features.personality` | `boolean` | Enable personality selection controls (stable; on by default). |48| `features.personality` | `boolean` | Enable personality selection controls (stable; on by default). |

37| `features.powershell_utf8` | `boolean` | Force PowerShell UTF-8 output (defaults to true). |49| `features.powershell_utf8` | `boolean` | Force PowerShell UTF-8 output (defaults to true). |


57| `instructions` | `string` | Reserved for future use; prefer `model_instructions_file` or `AGENTS.md`. |69| `instructions` | `string` | Reserved for future use; prefer `model_instructions_file` or `AGENTS.md`. |

58| `log_dir` | `string (path)` | Directory where Codex writes log files (for example `codex-tui.log`); defaults to `$CODEX_HOME/log`. |70| `log_dir` | `string (path)` | Directory where Codex writes log files (for example `codex-tui.log`); defaults to `$CODEX_HOME/log`. |

59| `mcp_oauth_callback_port` | `integer` | Optional fixed port for the local HTTP callback server used during MCP OAuth login. When unset, Codex binds to an ephemeral port chosen by the OS. |71| `mcp_oauth_callback_port` | `integer` | Optional fixed port for the local HTTP callback server used during MCP OAuth login. When unset, Codex binds to an ephemeral port chosen by the OS. |

72| `mcp_oauth_callback_url` | `string` | Optional redirect URI override for MCP OAuth login (for example, a devbox ingress URL). `mcp_oauth_callback_port` still controls the callback listener port. |

60| `mcp_oauth_credentials_store` | `auto | file | keyring` | Preferred store for MCP OAuth credentials. |73| `mcp_oauth_credentials_store` | `auto | file | keyring` | Preferred store for MCP OAuth credentials. |

61| `mcp_servers.<id>.args` | `array<string>` | Arguments passed to the MCP stdio server command. |74| `mcp_servers.<id>.args` | `array<string>` | Arguments passed to the MCP stdio server command. |

62| `mcp_servers.<id>.bearer_token_env_var` | `string` | Environment variable sourcing the bearer token for an MCP HTTP server. |75| `mcp_servers.<id>.bearer_token_env_var` | `string` | Environment variable sourcing the bearer token for an MCP HTTP server. |


76| `mcp_servers.<id>.url` | `string` | Endpoint for an MCP streamable HTTP server. |89| `mcp_servers.<id>.url` | `string` | Endpoint for an MCP streamable HTTP server. |

77| `model` | `string` | Model to use (e.g., `gpt-5-codex`). |90| `model` | `string` | Model to use (e.g., `gpt-5-codex`). |

78| `model_auto_compact_token_limit` | `number` | Token threshold that triggers automatic history compaction (unset uses model defaults). |91| `model_auto_compact_token_limit` | `number` | Token threshold that triggers automatic history compaction (unset uses model defaults). |

92| `model_catalog_json` | `string (path)` | Optional path to a JSON model catalog loaded on startup. Profile-level `profiles.<name>.model_catalog_json` can override this per profile. |

79| `model_context_window` | `number` | Context window tokens available to the active model. |93| `model_context_window` | `number` | Context window tokens available to the active model. |

80| `model_instructions_file` | `string (path)` | Replacement for built-in instructions instead of `AGENTS.md`. |94| `model_instructions_file` | `string (path)` | Replacement for built-in instructions instead of `AGENTS.md`. |

81| `model_provider` | `string` | Provider id from `model_providers` (default: `openai`). |95| `model_provider` | `string` | Provider id from `model_providers` (default: `openai`). |


126| `profiles.<name>.experimental_use_freeform_apply_patch` | `boolean` | Legacy name for enabling freeform apply\_patch; prefer `[features].apply_patch_freeform`. |140| `profiles.<name>.experimental_use_freeform_apply_patch` | `boolean` | Legacy name for enabling freeform apply\_patch; prefer `[features].apply_patch_freeform`. |

127| `profiles.<name>.experimental_use_unified_exec_tool` | `boolean` | Legacy name for enabling unified exec; prefer `[features].unified_exec`. |141| `profiles.<name>.experimental_use_unified_exec_tool` | `boolean` | Legacy name for enabling unified exec; prefer `[features].unified_exec`. |

128| `profiles.<name>.include_apply_patch_tool` | `boolean` | Legacy name for enabling freeform apply\_patch; prefer `[features].apply_patch_freeform`. |142| `profiles.<name>.include_apply_patch_tool` | `boolean` | Legacy name for enabling freeform apply\_patch; prefer `[features].apply_patch_freeform`. |

143| `profiles.<name>.model_catalog_json` | `string (path)` | Profile-scoped model catalog JSON path override (applied on startup only; overrides the top-level `model_catalog_json` for that profile). |

129| `profiles.<name>.oss_provider` | `lmstudio | ollama` | Profile-scoped OSS provider for `--oss` sessions. |144| `profiles.<name>.oss_provider` | `lmstudio | ollama` | Profile-scoped OSS provider for `--oss` sessions. |

130| `profiles.<name>.personality` | `none | friendly | pragmatic` | Profile-scoped communication style override for supported models. |145| `profiles.<name>.personality` | `none | friendly | pragmatic` | Profile-scoped communication style override for supported models. |

131| `profiles.<name>.web_search` | `disabled | cached | live` | Profile-scoped web search mode override (default: `"cached"`). |146| `profiles.<name>.web_search` | `disabled | cached | live` | Profile-scoped web search mode override (default: `"cached"`). |


161| `tui.status_line` | `array<string> | null` | Ordered list of TUI footer status-line item identifiers. `null` disables the status line. |176| `tui.status_line` | `array<string> | null` | Ordered list of TUI footer status-line item identifiers. `null` disables the status line. |

162| `web_search` | `disabled | cached | live` | Web search mode (default: `"cached"`; cached uses an OpenAI-maintained index and does not fetch live pages; if you use `--yolo` or another full access sandbox setting, it defaults to `"live"`). Use `"live"` to fetch the most recent data from the web, or `"disabled"` to remove the tool. |177| `web_search` | `disabled | cached | live` | Web search mode (default: `"cached"`; cached uses an OpenAI-maintained index and does not fetch live pages; if you use `--yolo` or another full access sandbox setting, it defaults to `"live"`). Use `"live"` to fetch the most recent data from the web, or `"disabled"` to remove the tool. |

163| `windows_wsl_setup_acknowledged` | `boolean` | Track Windows onboarding acknowledgement (Windows only). |178| `windows_wsl_setup_acknowledged` | `boolean` | Track Windows onboarding acknowledgement (Windows only). |

179| `windows.sandbox` | `unelevated | elevated` | Windows-only native sandbox mode when running Codex natively on Windows. |

164 180 

165Key181Key

166 182 


188 204 

189Key205Key

190 206 

207`agents.max_depth`

208 

209Type / Values

210 

211`number`

212 

213Details

214 

215Maximum nesting depth allowed for spawned agent threads (root sessions start at depth 0; default: 1).

216 

217Key

218 

191`agents.max_threads`219`agents.max_threads`

192 220 

193Type / Values221Type / Values


200 228 

201Key229Key

202 230 

231`allow_login_shell`

232 

233Type / Values

234 

235`boolean`

236 

237Details

238 

239Allow shell-based tools to use login-shell semantics. Defaults to `true`; when `false`, `login = true` requests are rejected and omitted `login` defaults to non-login shells.

240 

241Key

242 

203`approval_policy`243`approval_policy`

204 244 

205Type / Values245Type / Values

206 246 

207`untrusted | on-request | never`247`untrusted | on-request | never | { reject = { sandbox_approval = bool, rules = bool, mcp_elicitations = bool } }`

248 

249Details

250 

251Controls when Codex pauses for approval before executing commands. You can also use `approval_policy = { reject = { ... } }` to auto-reject specific prompt categories while keeping other prompts interactive. `on-failure` is deprecated; use `on-request` for interactive runs or `never` for non-interactive runs.

252 

253Key

254 

255`approval_policy.reject.mcp_elicitations`

256 

257Type / Values

258 

259`boolean`

260 

261Details

262 

263When `true`, MCP elicitation prompts are auto-rejected instead of shown to the user.

264 

265Key

266 

267`approval_policy.reject.rules`

268 

269Type / Values

270 

271`boolean`

272 

273Details

274 

275When `true`, approvals triggered by execpolicy `prompt` rules are auto-rejected.

276 

277Key

278 

279`approval_policy.reject.sandbox_approval`

280 

281Type / Values

282 

283`boolean`

284 

285Details

286 

287When `true`, sandbox escalation approval prompts are auto-rejected.

288 

289Key

290 

291`apps._default.destructive_enabled`

292 

293Type / Values

294 

295`boolean`

296 

297Details

298 

299Default allow/deny for app tools with `destructive_hint = true`.

300 

301Key

302 

303`apps._default.enabled`

304 

305Type / Values

306 

307`boolean`

308 

309Details

310 

311Default app enabled state for all apps unless overridden per app.

312 

313Key

314 

315`apps._default.open_world_enabled`

316 

317Type / Values

318 

319`boolean`

320 

321Details

322 

323Default allow/deny for app tools with `open_world_hint = true`.

324 

325Key

326 

327`apps.<id>.default_tools_approval_mode`

328 

329Type / Values

330 

331`auto | prompt | approve`

332 

333Details

334 

335Default approval behavior for tools in this app unless a per-tool override exists.

336 

337Key

338 

339`apps.<id>.default_tools_enabled`

340 

341Type / Values

342 

343`boolean`

208 344 

209Details345Details

210 346 

211Controls when Codex pauses for approval before executing commands. `on-failure` is deprecated; use `on-request` for interactive runs or `never` for non-interactive runs.347Default enabled state for tools in this app unless a per-tool override exists.

212 348 

213Key349Key

214 350 

215`apps.<id>.disabled_reason`351`apps.<id>.destructive_enabled`

216 352 

217Type / Values353Type / Values

218 354 

219`unknown | user`355`boolean`

220 356 

221Details357Details

222 358 

223Optional reason attached when an app/connector is disabled.359Allow or block tools in this app that advertise `destructive_hint = true`.

224 360 

225Key361Key

226 362 


236 372 

237Key373Key

238 374 

375`apps.<id>.open_world_enabled`

376 

377Type / Values

378 

379`boolean`

380 

381Details

382 

383Allow or block tools in this app that advertise `open_world_hint = true`.

384 

385Key

386 

387`apps.<id>.tools.<tool>.approval_mode`

388 

389Type / Values

390 

391`auto | prompt | approve`

392 

393Details

394 

395Per-tool approval behavior override for a single app tool.

396 

397Key

398 

399`apps.<id>.tools.<tool>.enabled`

400 

401Type / Values

402 

403`boolean`

404 

405Details

406 

407Per-tool enabled override for an app tool (for example `repos/list`).

408 

409Key

410 

411`background_terminal_max_timeout`

412 

413Type / Values

414 

415`number`

416 

417Details

418 

419Maximum poll window in milliseconds for empty `write_stdin` polls (background terminal polling). Default: `300000` (5 minutes). Replaces the older `background_terminal_timeout` key.

420 

421Key

422 

239`chatgpt_base_url`423`chatgpt_base_url`

240 424 

241Type / Values425Type / Values


404 588 

405Key589Key

406 590 

407`features.elevated_windows_sandbox`

408 

409Type / Values

410 

411`boolean`

412 

413Details

414 

415Enable the elevated Windows sandbox pipeline (experimental).

416 

417Key

418 

419`features.experimental_windows_sandbox`

420 

421Type / Values

422 

423`boolean`

424 

425Details

426 

427Run the Windows restricted-token sandbox (experimental).

428 

429Key

430 

431`features.multi_agent`591`features.multi_agent`

432 592 

433Type / Values593Type / Values


728 888 

729Key889Key

730 890 

891`mcp_oauth_callback_url`

892 

893Type / Values

894 

895`string`

896 

897Details

898 

899Optional redirect URI override for MCP OAuth login (for example, a devbox ingress URL). `mcp_oauth_callback_port` still controls the callback listener port.

900 

901Key

902 

731`mcp_oauth_credentials_store`903`mcp_oauth_credentials_store`

732 904 

733Type / Values905Type / Values


956 1128 

957Key1129Key

958 1130 

1131`model_catalog_json`

1132 

1133Type / Values

1134 

1135`string (path)`

1136 

1137Details

1138 

1139Optional path to a JSON model catalog loaded on startup. Profile-level `profiles.<name>.model_catalog_json` can override this per profile.

1140 

1141Key

1142 

959`model_context_window`1143`model_context_window`

960 1144 

961Type / Values1145Type / Values


1556 1740 

1557Key1741Key

1558 1742 

1743`profiles.<name>.model_catalog_json`

1744 

1745Type / Values

1746 

1747`string (path)`

1748 

1749Details

1750 

1751Profile-scoped model catalog JSON path override (applied on startup only; overrides the top-level `model_catalog_json` for that profile).

1752 

1753Key

1754 

1559`profiles.<name>.oss_provider`1755`profiles.<name>.oss_provider`

1560 1756 

1561Type / Values1757Type / Values


1974 2170 

1975Track Windows onboarding acknowledgement (Windows only).2171Track Windows onboarding acknowledgement (Windows only).

1976 2172 

2173Key

2174 

2175`windows.sandbox`

2176 

2177Type / Values

2178 

2179`unelevated | elevated`

2180 

2181Details

2182 

2183Windows-only native sandbox mode when running Codex natively on Windows.

2184 

1977Expand to view all2185Expand to view all

1978 2186 

1979You can find the latest JSON schema for `config.toml` [here](https://developers.openai.com/codex/config-schema.json).2187You can find the latest JSON schema for `config.toml` [here](https://developers.openai.com/codex/config-schema.json).


1988 2196 

1989## `requirements.toml`2197## `requirements.toml`

1990 2198 

1991`requirements.toml` is an admin-enforced configuration file that constrains security-sensitive settings users cant override. For details, locations, and examples, see [Admin-enforced requirements](https://developers.openai.com/codex/security#admin-enforced-requirements-requirementstoml).2199`requirements.toml` is an admin-enforced configuration file that constrains security-sensitive settings users can't override. For details, locations, and examples, see [Admin-enforced requirements](https://developers.openai.com/codex/enterprise/managed-configuration#admin-enforced-requirements-requirementstoml).

1992 2200 

1993For ChatGPT Business and Enterprise users, Codex can also apply cloud-fetched2201For ChatGPT Business and Enterprise users, Codex can also apply cloud-fetched

1994requirements. See the security page for precedence details.2202requirements. See the security page for precedence details.

1995 2203 

1996| Key | Type / Values | Details |2204| Key | Type / Values | Details |

1997| --- | --- | --- |2205| --- | --- | --- |

1998| `allowed_approval_policies` | `array<string>` | Allowed values for `approval\_policy`. |2206| `allowed_approval_policies` | `array<string>` | Allowed values for `approval_policy` (for example `untrusted`, `on-request`, `never`, and `reject`). |

1999| `allowed_sandbox_modes` | `array<string>` | Allowed values for `sandbox_mode`. |2207| `allowed_sandbox_modes` | `array<string>` | Allowed values for `sandbox_mode`. |

2000| `allowed_web_search_modes` | `array<string>` | Allowed values for `web_search` (`disabled`, `cached`, `live`). `disabled` is always allowed; an empty list effectively allows only `disabled`. |2208| `allowed_web_search_modes` | `array<string>` | Allowed values for `web_search` (`disabled`, `cached`, `live`). `disabled` is always allowed; an empty list effectively allows only `disabled`. |

2001| `mcp_servers` | `table` | Allowlist of MCP servers that may be enabled. Both the server name (`<id>`) and its identity must match for the MCP server to be enabled. Any configured MCP server not in the allowlist (or with a mismatched identity) is disabled. |2209| `mcp_servers` | `table` | Allowlist of MCP servers that may be enabled. Both the server name (`<id>`) and its identity must match for the MCP server to be enabled. Any configured MCP server not in the allowlist (or with a mismatched identity) is disabled. |


2020 2228 

2021Details2229Details

2022 2230 

2023Allowed values for `approval\_policy`.2231Allowed values for `approval_policy` (for example `untrusted`, `on-request`, `never`, and `reject`).

2024 2232 

2025Key2233Key

2026 2234 

config-sample.md +74 −19

Details

1# Sample Configuration1# Sample Configuration

2 2 

3A complete example config.toml you can copy and adapt

4 

5Use this example configuration as a starting point. It includes most keys Codex reads from `config.toml`, along with defaults and short notes.3Use this example configuration as a starting point. It includes most keys Codex reads from `config.toml`, along with defaults and short notes.

6 4 

7For explanations and guidance, see:5For explanations and guidance, see:


9- [Config basics](https://developers.openai.com/codex/config-basic)7- [Config basics](https://developers.openai.com/codex/config-basic)

10- [Advanced Config](https://developers.openai.com/codex/config-advanced)8- [Advanced Config](https://developers.openai.com/codex/config-advanced)

11- [Config Reference](https://developers.openai.com/codex/config-reference)9- [Config Reference](https://developers.openai.com/codex/config-reference)

10- [Sandbox and approvals](https://developers.openai.com/codex/security#sandbox-and-approvals)

11- [Managed configuration](https://developers.openai.com/codex/security#managed-configuration)

12 12 

13Use the snippet below as a reference. Copy only the keys and sections you need into `~/.codex/config.toml` (or into a project-scoped `.codex/config.toml`), then adjust values for your setup.13Use the snippet below as a reference. Copy only the keys and sections you need into `~/.codex/config.toml` (or into a project-scoped `.codex/config.toml`), then adjust values for your setup.

14 14 


49# model_context_window = 128000 # tokens; default: auto for model49# model_context_window = 128000 # tokens; default: auto for model

50# model_auto_compact_token_limit = 0 # tokens; unset uses model defaults50# model_auto_compact_token_limit = 0 # tokens; unset uses model defaults

51# tool_output_token_limit = 10000 # tokens stored per tool output; default: 10000 for gpt-5.2-codex51# tool_output_token_limit = 10000 # tokens stored per tool output; default: 10000 for gpt-5.2-codex

52# model_catalog_json = "/absolute/path/to/models.json" # optional startup-only model catalog override

53# background_terminal_max_timeout = 300000 # ms; max empty write_stdin poll window (default 5m)

52# log_dir = "/absolute/path/to/codex-logs" # directory for Codex logs; default: "$CODEX_HOME/log"54# log_dir = "/absolute/path/to/codex-logs" # directory for Codex logs; default: "$CODEX_HOME/log"

53 55 

54################################################################################56################################################################################


107# - untrusted: only known-safe read-only commands auto-run; others prompt109# - untrusted: only known-safe read-only commands auto-run; others prompt

108# - on-request: model decides when to ask (default)110# - on-request: model decides when to ask (default)

109# - never: never prompt (risky)111# - never: never prompt (risky)

112# - { reject = { ... } }: auto-reject selected prompt categories

110approval_policy = "on-request"113approval_policy = "on-request"

114# Example granular auto-reject policy:

115# approval_policy = { reject = { sandbox_approval = true, rules = false, mcp_elicitations = false } }

116 

117# Allow login-shell semantics for shell-based tools when they request `login = true`.

118# Default: true. Set false to force non-login shells and reject explicit login-shell requests.

119allow_login_shell = true

111 120 

112# Filesystem/network sandbox policy for tool calls:121# Filesystem/network sandbox policy for tool calls:

113# - read-only (default)122# - read-only (default)


138# Optional fixed port for MCP OAuth callback: 1-65535. Default: unset.147# Optional fixed port for MCP OAuth callback: 1-65535. Default: unset.

139# mcp_oauth_callback_port = 4321148# mcp_oauth_callback_port = 4321

140 149 

150# Optional redirect URI override for MCP OAuth login (for example, remote devbox ingress).

151# Custom callback paths are supported. `mcp_oauth_callback_port` still controls the listener port.

152# mcp_oauth_callback_url = "https://devbox.example.internal/callback"

153 

141################################################################################154################################################################################

142# Project Documentation Controls155# Project Documentation Controls

143################################################################################156################################################################################


194# Active profile name. When unset, no profile is applied.207# Active profile name. When unset, no profile is applied.

195# profile = "default"208# profile = "default"

196 209 

210################################################################################

211# Agents (multi-agent roles and limits)

212################################################################################

213 

214# [agents]

215# Maximum concurrently open agent threads. Default: 6

216# max_threads = 6

217# Maximum nested spawn depth. Root session starts at depth 0. Default: 1

218# max_depth = 1

219 

220# [agents.reviewer]

221# description = "Find security, correctness, and test risks in code."

222# config_file = "./agents/reviewer.toml" # relative to the config.toml that defines it

223 

197################################################################################224################################################################################

198# Skills (per-skill overrides)225# Skills (per-skill overrides)

199################################################################################226################################################################################


276# Control alternate screen usage (auto skips it in Zellij to preserve scrollback).303# Control alternate screen usage (auto skips it in Zellij to preserve scrollback).

277# alternate_screen = "auto"304# alternate_screen = "auto"

278 305 

279# Ordered list of footer status-line item IDs. Default: null (disabled).306# Ordered list of footer status-line item IDs. When unset, Codex uses:

307# ["model-with-reasoning", "context-remaining", "current-dir"].

308# Set to [] to hide the footer.

280# status_line = ["model", "context-remaining", "git-branch"]309# status_line = ["model", "context-remaining", "git-branch"]

281 310 

311# Syntax-highlighting theme (kebab-case). Use /theme in the TUI to preview and save.

312# You can also add custom .tmTheme files under $CODEX_HOME/themes.

313# theme = "catppuccin-mocha"

314 

282# Control whether users can submit feedback from `/feedback`. Default: true315# Control whether users can submit feedback from `/feedback`. Default: true

283[feedback]316[feedback]

284enabled = true317enabled = true


301 334 

302[features]335[features]

303# Leave this table empty to accept defaults. Set explicit booleans to opt in/out.336# Leave this table empty to accept defaults. Set explicit booleans to opt in/out.

304shell_tool = true337# shell_tool = true

305# apps = false338# apps = false

306# apps_mcp_gateway = false339# apps_mcp_gateway = false

307# Deprecated legacy toggles; prefer the top-level `web_search` setting.

308# web_search = false

309# web_search_cached = false340# web_search_cached = false

310# web_search_request = false341# web_search_request = false

311unified_exec = false342# unified_exec = false

312shell_snapshot = false343# shell_snapshot = false

313apply_patch_freeform = false344# apply_patch_freeform = false

345# multi_agent = false

314# search_tool = false346# search_tool = false

315# personality = true347# personality = true

316request_rule = true348# request_rule = true

317collaboration_modes = true349# collaboration_modes = true

318use_linux_sandbox_bwrap = false350# use_linux_sandbox_bwrap = false

319experimental_windows_sandbox = false351# remote_models = false

320elevated_windows_sandbox = false352# runtime_metrics = false

321remote_models = false353# powershell_utf8 = true

322runtime_metrics = false354# child_agents_md = false

323powershell_utf8 = true

324child_agents_md = false

325 355 

326################################################################################356################################################################################

327# Define MCP servers under this table. Leave empty to disable.357# Define MCP servers under this table. Leave empty to disable.


411# model_verbosity = "medium"441# model_verbosity = "medium"

412# personality = "friendly" # or "pragmatic" or "none"442# personality = "friendly" # or "pragmatic" or "none"

413# chatgpt_base_url = "https://chatgpt.com/backend-api/"443# chatgpt_base_url = "https://chatgpt.com/backend-api/"

444# model_catalog_json = "./models.json"

414# experimental_compact_prompt_file = "./compact_prompt.txt"445# experimental_compact_prompt_file = "./compact_prompt.txt"

415# include_apply_patch_tool = false446# include_apply_patch_tool = false

416# experimental_use_unified_exec_tool = false447# experimental_use_unified_exec_tool = false


424 455 

425# Optional per-app controls.456# Optional per-app controls.

426[apps]457[apps]

458# [_default] applies to all apps unless overridden per app.

459# [apps._default]

460# enabled = true

461# destructive_enabled = true

462# open_world_enabled = true

463#

427# [apps.google_drive]464# [apps.google_drive]

428# enabled = false465# enabled = false

429# disabled_reason = "user" # or "unknown"466# destructive_enabled = false # block destructive-hint tools for this app

467# default_tools_enabled = true

468# default_tools_approval_mode = "prompt" # auto | prompt | approve

469#

470# [apps.google_drive.tools."files/delete"]

471# enabled = false

472# approval_mode = "approve"

430 473 

431################################################################################474################################################################################

432# Projects (trust levels)475# Projects (trust levels)


477# client-certificate = "/etc/codex/certs/client.pem"520# client-certificate = "/etc/codex/certs/client.pem"

478# client-private-key = "/etc/codex/certs/client-key.pem"521# client-private-key = "/etc/codex/certs/client-key.pem"

479```522```

523 

524################################################################################

525 

526# Windows

527 

528################################################################################

529 

530[windows]

531 

532# Native Windows sandbox mode (Windows only): unelevated | elevated

533 

534sandbox = "unelevated"

Details

1# Custom Prompts1# Custom Prompts

2 2 

3Deprecated. Use skills for reusable prompts

4 

5Custom prompts are deprecated. Use [skills](https://developers.openai.com/codex/skills) for reusable3Custom prompts are deprecated. Use [skills](https://developers.openai.com/codex/skills) for reusable

6 instructions that Codex can invoke explicitly or implicitly.4 instructions that Codex can invoke explicitly or implicitly.

7 5 

Details

1# Admin Setup1# Admin Setup

2 2 

3Set up Codex for your ChatGPT Enterprise workspace

4 

5This guide is for ChatGPT Enterprise admins who want to set up Codex for their workspace.3This guide is for ChatGPT Enterprise admins who want to set up Codex for their workspace.

6 4 

5Use this page as the step-by-step rollout guide. It focuses on setup order and decision points. For detailed policy, configuration, and monitoring details, use the linked pages: [Authentication](https://developers.openai.com/codex/auth), [Security](https://developers.openai.com/codex/security), [Managed configuration](https://developers.openai.com/codex/enterprise/managed-configuration), and [Governance](https://developers.openai.com/codex/enterprise/governance).

6 

7## Enterprise-grade security and privacy7## Enterprise-grade security and privacy

8 8 

9Codex supports ChatGPT Enterprise security features, including:9Codex supports ChatGPT Enterprise security features, including:

10 10 

11- No training on enterprise data11- No training on enterprise data

12- Zero data retention for the CLI and IDE12- Zero data retention for the App, CLI, and IDE (code remains in developer environment)

13- Residency and retention follow ChatGPT Enterprise policies13- Residency and retention that follow ChatGPT Enterprise policies

14- Granular user access controls14- Granular user access controls

15- Data encryption at rest (AES 256) and in transit (TLS 1.2+)15- Data encryption at rest (AES-256) and in transit (TLS 1.2+)

16 16 

17For more, see [Security](https://developers.openai.com/codex/security).17For security controls and runtime protections, see [Security](https://developers.openai.com/codex/security). Refer to [Zero Data Retention (ZDR)](https://platform.openai.com/docs/guides/your-data#zero-data-retention) for more details.

18 18 

19## Local vs. cloud setup19## Local vs. cloud setup

20 20 

21Codex operates in two environments: local and cloud.21Codex operates in two environments: local and cloud.

22 22 

231. Local use includes the Codex app, CLI, and IDE extension. The agent runs on the developer’s computer in a sandbox.231. **Codex local** includes the Codex app, CLI, and IDE extension. The agent runs on the developer’s computer in a sandbox.

242. Use in the cloud includes Codex cloud, iOS, Code Review, and tasks created by the [Slack integration](https://developers.openai.com/codex/integrations/slack). The agent runs remotely in a hosted container with your codebase.242. **Codex cloud** includes hosted Codex features (including Codex cloud, iOS, Code Review, and tasks created by the [Slack integration](https://developers.openai.com/codex/integrations/slack) or [Linear integration](https://developers.openai.com/codex/integrations/linear)). The agent runs remotely in a hosted container with your codebase.

25 25 

26Use separate permissions and role-based access control (RBAC) to control access to local and cloud features. You can enable local, cloud, or both for all users or for specific groups.26You can enable local, cloud, or both, and control access with workspace settings and role-based access control (RBAC).

27 27 

28## Codex local setup28## Step 0: Owners and rollout decision

29 29 

30### Enable Codex app, CLI, and IDE extension in workspace settings30Ensure you have the following owners:

31 31 

32To enable Codex locally for workspace members, go to [Workspace Settings > Settings and Permissions](https://chatgpt.com/admin/settings). Turn on **Allow members to use Codex Local**. This setting doesn’t require the GitHub connector.32- Workspace owner with access to ChatGPT Enterprise

33- IT management owner for managed configuration

34- Governance owner for analytics / compliance review

33 35 

34After you turn this on, users can sign in to use the Codex app, CLI, and IDE extension with their ChatGPT account. If you turn off this setting, users who attempt to use the Codex app, CLI, or IDE will see the following error: “403 - Unauthorized. Contact your ChatGPT administrator for access.”36A rollout decision:

35 37 

36## Team Config38- Codex local only (Codex app, CLI, and IDE extension)

39- Codex cloud only (Codex web, GitHub code review)

40- Both local + cloud

37 41 

38Teams who want to standardize Codex across an organization can use Team Config to share defaults, rules, and skills without duplicating setup on every local configuration.42Review [authentication](https://developers.openai.com/codex/auth) before rollout:

39 43 

40| Type | Path | Use it to |44- Codex local supports ChatGPT sign-in or API keys. Confirm MFA/SSO requirements and any managed login restrictions in authentication

41| ------------------------------------ | ------------- | ---------------------------------------------------------------------------- |45- Codex cloud requires ChatGPT sign-in

42| [Config basics](https://developers.openai.com/codex/config-basic) | `config.toml` | Set defaults for sandbox mode, approvals, model, reasoning effort, and more. |

43| [Rules](https://developers.openai.com/codex/rules) | `rules/` | Control which commands Codex can run outside the sandbox. |

44| [Skills](https://developers.openai.com/codex/skills) | `skills/` | Make shared skills available to your team. |

45 46 

46For locations and precedence, see [Config basics](https://developers.openai.com/codex/config-basic#configuration-precedence).47## Step 1: Enable workspace toggles

48 

49Turn on only the Codex features you plan to roll out in this phase.

50 

51Go to [Workspace Settings > Settings and Permissions](https://chatgpt.com/admin/settings).

52 

53### Codex local

54 

55Turn on **Allow members to use Codex Local**.

47 56 

48## Codex cloud setup57This enables use of the Codex app, CLI, and IDE extension for allowed users.

58 

59If this toggle is off, users who attempt to use the Codex app, CLI, or IDE will see the following error: “403 - Unauthorized. Contact your ChatGPT administrator for access.”

60 

61#### Enable device code authentication for Codex CLI

62 

63Allow developers to sign in with device codes when using Codex CLI in a non-interactive environment. More details in [authentication](https://developers.openai.com/codex/auth/).

64 

65![Codex local toggle](/images/codex/enterprise/local-toggle-config.png)

66 

67### Codex cloud

49 68 

50### Prerequisites69### Prerequisites

51 70 


59 78 

60Start by turning on the ChatGPT GitHub Connector in the Codex section of [Workspace Settings > Settings and Permissions](https://chatgpt.com/admin/settings).79Start by turning on the ChatGPT GitHub Connector in the Codex section of [Workspace Settings > Settings and Permissions](https://chatgpt.com/admin/settings).

61 80 

62To enable Codex cloud for your workspace, turn on **Allow members to use Codex cloud**.81To enable Codex cloud for your workspace, turn on **Allow members to use Codex cloud**. Once enabled, users can access Codex directly from the left-hand navigation panel in ChatGPT.

82 

83Note that it may take up to 10 minutes for Codex to appear in ChatGPT.

84 

85#### Allow members to administer Codex

86 

87Allows users to view overall Codex [workspace analytics](https://chatgpt.com/codex/settings/analytics), access [cloud-managed requirements](https://chatgpt.com/codex/settings/managed-configs), and manage Cloud environments (edit and delete).

88 

89Codex cloud not required.

90 

91#### Enable Codex Slack app to post answers on task completion

92 

93Codex posts its full answer back to Slack when the task completes. Otherwise, Codex posts only a link to the task.

94 

95To learn more, see [Codex in Slack](https://developers.openai.com/codex/integrations/slack).

63 96 

64Once enabled, users can access Codex directly from the left-hand navigation panel in ChatGPT.97#### Enable Codex agent to access the internet

98 

99By default, Codex cloud agents have no internet access during runtime to help protect against security and safety risks like prompt injection.

100 

101This setting enables users to use an allowlist for common software dependency domains, add more domains and trusted sites, and specify allowed HTTP methods.

102 

103For security implications of internet access and runtime controls, see [Security](https://developers.openai.com/codex/security).

65 104 

66![Codex cloud toggle](/images/codex/enterprise/cloud-toggle-config.png)105![Codex cloud toggle](/images/codex/enterprise/cloud-toggle-config.png)

67 106 

68After you turn on Codex in your Enterprise workspace settings, it may take up107## Step 2: Set up custom roles (RBAC)

69to 10 minutes for Codex to appear in ChatGPT.

70 108 

71### Configure the GitHub Connector IP allow list109Use RBAC to control which users or groups can access Codex local and Codex cloud.

72 110 

73To control which IP addresses can connect to your ChatGPT GitHub connector, configure these IP ranges:111### What RBAC lets you do

74 112 

75- [ChatGPT egress IP ranges](https://openai.com/chatgpt-actions.json)113Workspace Owners can use RBAC in ChatGPT admin settings to:

76- [Codex container egress IP ranges](https://openai.com/chatgpt-agents.json)

77 114 

78These IP ranges can change. Consider checking them automatically and updating your allow list based on the latest values.115- Set a default role for users who are not assigned any custom role

116- Create custom roles with granular permissions

117- Assign one or more custom roles to Groups (including SCIM-synced groups)

118- Manage roles centrally from the Custom Roles tab

79 119 

80### Allow members to administer Codex120Users can inherit multiple roles, and permissions resolve to the maximum allowed across those roles.

81 121 

82This toggle allows users to view Codex workspace analytics and manage environments (edit and delete).122### Important behavior to plan for

83 123 

84Codex supports role-based access (see [Role-based access (RBAC)](#role-based-access-rbac)), so you can turn on this toggle for a specific subset of users.124Users in any custom role group do not use the workspace default permissions.

85 125 

86### Enable Codex Slack app to post answers on task completion126If you are gradually rolling out Codex, one suggestion is to have a “Codex Users” group and a second “Codex Admin” group that has the “Allow members to administer Codex” toggle enabled.

87 127 

88Codex integrates with Slack. When a user mentions `@Codex` in Slack, Codex starts a cloud task, gets context from the Slack thread, and responds with a link to a PR to review in the thread.128For RBAC setup details and the full permission model, see the [OpenAI RBAC Help Center article](https://help.openai.com/en/articles/11750701-rbac).

89 129 

90To allow the Slack app to post answers on task completion, turn on **Allow Codex Slack app to post answers on task completion**. When enabled, Codex posts its full answer back to Slack when the task completes. Otherwise, Codex posts only a link to the task.130## Step 3: Configure Codex local managed settings

91 131 

92To learn more, see [Codex in Slack](https://developers.openai.com/codex/integrations/slack).132For Codex local, set an admin-approved baseline for local behavior before broader rollout.

93 133 

94### Enable Codex agent to access the internet134### Use managed configuration for two different goals

95 135 

96By default, Codex cloud agents have no internet access during runtime to help protect against security and safety risks like prompt injection.136- **Requirements** (`requirements.toml`): Admin-enforced constraints users cannot override

137- **Managed defaults** (`managed_config.toml`): Starting values applied when Codex launches

97 138 

98As an admin, you can allow users to enable agent internet access in their environments. To enable it, turn on **Allow Codex agent to access the internet**.139### Team Config

99 140 

100When this setting is on, users can use an allow list for common software dependency domains, add more domains and trusted sites, and specify allowed HTTP methods.141Teams who want to standardize Codex across an organization can use Team Config to share defaults, rules, and skills without duplicating setup on every local configuration.

101 142 

102### Enable code review with Codex cloud143| Type | Path | Use it to |

144| ------------------------------------ | ------------- | ---------------------------------------------------------------------------- |

145| [Config basics](https://developers.openai.com/codex/config-basic) | `config.toml` | Set defaults for sandbox mode, approvals, model, reasoning effort, and more. |

146| [Rules](https://developers.openai.com/codex/rules) | `rules/` | Control which commands Codex can run outside the sandbox. |

147| [Skills](https://developers.openai.com/codex/skills) | `skills/` | Make shared skills available to your team. |

148 

149For locations and precedence, see [Config basics](https://developers.openai.com/codex/config-basic#configuration-precedence).

150 

151### Recommended first decisions for local rollout

152 

153Define a baseline for your pilot:

154 

155- Approval policy posture

156- Sandbox mode posture

157- Web search posture

158- MCP / connectors policy

159- Local logging and telemetry posture

103 160 

104To allow Codex to do code reviews, go to [Settings Code review](https://chatgpt.com/codex/settings/code-review).161For exact keys, precedence, MDM deployment, and examples, see [Managed configuration](https://developers.openai.com/codex/enterprise/managed-configuration) and [Security](https://developers.openai.com/codex/security).

105 162 

106Users can specify whether they want Codex to review their pull requests. Users can also configure whether code review runs for all contributors to a repository.163If you plan to restrict login method or workspace for local clients, see the admin-managed authentication restrictions in [Authentication](https://developers.openai.com/codex/auth).

107 164 

108Codex supports two types of code reviews:165## Step 4: Configure Codex cloud usage (if enabled)

109 166 

1101. Automatically triggered code reviews when a user opens a PR for review.167This step covers repository and environment setup after the Codex cloud workspace toggle is enabled.

1112. Reactive code reviews when a user mentions @Codex to look at issues. For example, “@Codex fix this CI error” or “@Codex address that feedback.”

112 168 

113## Role-based access (RBAC)169### Connect Codex cloud to repositories

114 170 

115Codex supports role-based access. RBAC is a security and permissions model used to control access to systems or resources based on a user’s role assignments.1711. Navigate to [Codex](https://chatgpt.com/codex) and select **Get started**

1722. Select **Connect to GitHub** to install the ChatGPT GitHub Connector if you haven't already connected GitHub to ChatGPT

1733. Install or authorize the ChatGPT GitHub Connector

1744. Choose an installation target for the ChatGPT Connector (typically your main organization)

1755. Allow the repositories you want to connect to Codex

116 176 

117To enable RBAC for Codex, navigate to Settings & Permissions → Custom Roles in [ChatGPT’s admin page](https://chatgpt.com/admin/settings) and assign roles to groups created in the Groups tab.177For more, see [Cloud environments](https://developers.openai.com/codex/cloud/environments).

118 178 

119This simplifies permission management for Codex and improves security in your ChatGPT workspace. To learn more, see the [Help Center article](https://help.openai.com/en/articles/11750701-rbac).179Codex uses short-lived, least-privilege GitHub App installation tokens for each operation and respects the user's existing GitHub repository permissions and branch protection rules.

180 

181### Configure IP addresses (as needed)

182 

183Configure connector / IP allow lists if required by your network policy with these [egress IP ranges](https://openai.com/chatgpt-agents.json).

184 

185These IP ranges can change. Consider checking them automatically and updating your allow list based on the latest values.

186 

187### Enable code review with Codex cloud

120 188 

121## Set up your first Codex cloud environment189To allow Codex to perform code reviews on GitHub, go to [Settings → Code review](https://chatgpt.com/codex/settings/code-review).

122 190 

1231. Go to Codex cloud and select **Get started**.191Code review can be configured at the repository level. Users can also enable auto review for their PRs and choose when Codex automatically triggers a review. More details on [GitHub](https://developers.openai.com/codex/integrations/github) integration page.

1242. Select **Connect to GitHub** to install the ChatGPT GitHub Connector if you haven’t already connected GitHub to ChatGPT.

125 - Allow the ChatGPT Connector for your account.

126 - Choose an installation target for the ChatGPT Connector (typically your main organization).

127 - Allow the repositories you want to connect to Codex (a GitHub admin may need to approve this).

1283. Create your first environment by selecting the repository most relevant to your developers, then select **Create environment**.

129 - Add the email addresses of any environment collaborators to give them edit access.

1304. Start a few starter tasks (for example, writing tests, fixing bugs, or exploring code).

131 192 

132You have now created your first environment. Users who connect to GitHub can create tasks using this environment. Users who have access to the repository can also push pull requests generated from their tasks.193Additional integration docs for [Slack](https://developers.openai.com/codex/integrations/slack), [GitHub](https://developers.openai.com/codex/integrations/github), and [Linear](https://developers.openai.com/codex/integrations/linear).

133 194 

134### Environment management195## Step 5: Set up governance and observability

135 196 

136As a ChatGPT workspace administrator, you can edit and delete Codex environments in your workspace.197Codex gives enterprise teams several options for visibility into adoption and impact. Set up governance early so your team can monitor adoption, investigate issues, and support compliance workflows.

137 198 

138### Connect more GitHub repositories with Codex cloud199### Codex governance typically uses

139 200 

1401. Select **Environments**, or open the environment selector and select **Manage Environments**.201- Analytics Dashboard for quick, self-serve visibility

1412. Select **Create Environment**.202- Analytics API for programmatic reporting and BI integration

1423. Select the repository you want to connect.203- Compliance API for audit and investigation workflows

1434. Enter a name and description.

1445. Select the environment visibility.

1456. Select **Create Environment**.

146 204 

147Codex automatically optimizes your environment setup by reviewing your codebase. Avoid advanced environment configuration until you observe specific performance issues. For more, see [Codex cloud](https://developers.openai.com/codex/cloud).205### Recommended minimum setup

148 206 

149### Share setup instructions with users207- Assign an owner for adoption reporting

208- Assign an owner for audit and compliance review

209- Define a review cadence

210- Decide what success looks like

150 211 

151You can share these steps with end users:212For details and examples, see [Governance](https://developers.openai.com/codex/enterprise/governance).

152 213 

1531. Go to [Codex](https://chatgpt.com/codex) in the left-hand panel of ChatGPT.214## Step 6: Confirm and validate setup

1542. Select **Connect to GitHub** in the prompt composer if you’re not already connected.

155 - Sign in to GitHub.

1563. You can now use shared environments with your workspace or create your own environment.

1574. Try a task in both Ask and Code mode. For example:

158 - Ask: Find bugs in this codebase.

159 - Write code: Improve test coverage following the existing test patterns.

160 215 

161## Track Codex usage216### What to verify

162 217 

163- For workspaces with rate limits, use [Settings Usage](https://chatgpt.com/codex/settings/usage) to view workspace metrics for Codex.218- Users can sign in to Codex local (ChatGPT or API key)

164- For more detail on enterprise governance, refer to the [Governance](https://developers.openai.com/codex/enterprise/governance) page.219- (If enabled) Users can sign in to Codex cloud (ChatGPT sign-in required)

165- For enterprise workspaces with flexible pricing, you can see credit usage in the ChatGPT workspace billing console.220- MFA and SSO requirements match your enterprise security policy

221- RBAC and workspace toggles produce the expected access behavior

222- Managed configuration is applied for users

223- Governance data is visible for admins

166 224 

167## Zero data retention (ZDR)225For authentication options and enterprise login restrictions, see [Authentication](https://developers.openai.com/codex/auth).

168 226 

169Codex supports OpenAI organizations with [Zero Data Retention (ZDR)](https://platform.openai.com/docs/guides/your-data#zero-data-retention) enabled.227Once your team is confident with setup, you can confidently roll Codex out to additional teams and organizations.

Details

1# Governance1# Governance

2 2 

3Governance guidance for managing Codex in your organization

4 

5# Governance and Observability3# Governance and Observability

6 4 

7Codex gives enterprise teams visibility into adoption and impact, plus the auditability needed for security and compliance programs. Use the self-serve dashboard for day-to-day tracking, the Analytics API for programmatic reporting, and the Compliance API to export detailed logs into your governance stack.5Codex gives enterprise teams visibility into adoption and impact, plus the auditability needed for security and compliance programs. Use the self-serve dashboard for day-to-day tracking, the Analytics API for programmatic reporting, and the Compliance API to export detailed logs into your governance stack.


90 88 

91The Compliance API gives enterprises a way to export logs and metadata for Codex activity so you can connect that data to your existing audit, monitoring, and security workflows. It is designed for use with tools like eDiscovery, DLP, SIEM, or other compliance systems.89The Compliance API gives enterprises a way to export logs and metadata for Codex activity so you can connect that data to your existing audit, monitoring, and security workflows. It is designed for use with tools like eDiscovery, DLP, SIEM, or other compliance systems.

92 90 

91For Codex usage authenticated through ChatGPT, Compliance API exports provide audit records for Codex activity and can be used in investigations and compliance workflows. These audit logs are retained for up to 30 days. API-key-authenticated Codex usage follows your API organization settings and is not included in Compliance API exports.

92 

93### What you can export93### What you can export

94 94 

95#### Activity logs95#### Activity logs

Details

1# Managed configuration

2 

3Enterprise admins can control local Codex behavior in two ways:

4 

5- **Requirements**: admin-enforced constraints that users can't override.

6- **Managed defaults**: starting values applied when Codex launches. Users can still change settings during a session; Codex reapplies managed defaults the next time it starts.

7 

8## Admin-enforced requirements (requirements.toml)

9 

10Requirements constrain security-sensitive settings (approval policy, sandbox mode, web search mode, and optionally which MCP servers can be enabled). When resolving configuration (for example from `config.toml`, profiles, or CLI config overrides), if a value conflicts with an enforced requirement, Codex falls back to a requirements-compatible value and notifies the user. If an `mcp_servers` allowlist is configured, Codex enables an MCP server only when both its name and identity match an approved entry; otherwise, Codex disables it.

11 

12For the exact key list, see the [`requirements.toml` section in Configuration Reference](https://developers.openai.com/codex/config-reference#requirementstoml).

13 

14### Locations and precedence

15 

16Requirements layers are applied in this order (earlier wins per field):

17 

181. Cloud-managed requirements (ChatGPT Business or Enterprise)

192. macOS managed preferences (MDM) via `com.openai.codex:requirements_toml_base64`

203. System `requirements.toml` (`/etc/codex/requirements.toml` on Unix systems, including Linux/macOS)

21 

22Across layers, requirements are merged per field: if an earlier layer sets a field (including an empty list), later layers do not override that field, but lower layers can still fill fields that remain unset.

23 

24For backwards compatibility, Codex also interprets legacy `managed_config.toml` fields `approval_policy` and `sandbox_mode` as requirements (allowing only that single value).

25 

26### Cloud-managed requirements

27 

28When you sign in with ChatGPT on a Business or Enterprise plan, Codex can also fetch admin-enforced requirements from the Codex service. This is another source of `requirements.toml`-compatible requirements. This applies across Codex surfaces, including the CLI, App, and IDE Extension.

29 

30#### Configure cloud-managed requirements

31 

32Go to the [Codex managed-config page](https://chatgpt.com/codex/settings/managed-configs).

33 

34Create a new managed requirements file using the same format and keys as `requirements.toml`.

35 

36```toml

37enforce_residency = "us"

38allowed_approval_policies = ["on-request"]

39allowed_sandbox_modes = ["read-only", "workspace-write"]

40 

41[rules]

42prefix_rules = [

43 { pattern = [{ any_of = ["bash", "sh", "zsh"] }], decision = "prompt", justification = "Require explicit approval for shell entrypoints" },

44]

45```

46 

47Save the configuration. Once saved, the updated managed requirements apply immediately for matching users.

48For more examples, see [Example requirements.toml](#example-requirementstoml).

49 

50#### Assign requirements to groups

51 

52Admins can configure different managed requirements for different user groups, and also set a default fallback requirements policy.

53 

54If a user matches multiple group-specific rules, the first matching rule applies. Codex does not fill unset requirement fields from later matching group rules.

55 

56For example, if the first matching group rule sets only `allowed_sandbox_modes = ["read-only"]` and a later matching group rule sets `allowed_approval_policies = ["on-request"]`, Codex applies only the first matching group rule and does not fill `allowed_approval_policies` from the later rule.

57 

58#### How Codex applies cloud-managed requirements locally

59 

60When a user starts Codex and signs in with ChatGPT on a Business or Enterprise plan, Codex applies managed requirements on a best-effort basis. Codex first checks for a valid, unexpired local managed requirements cache entry and uses it if available. If the cache is missing, expired, invalid, or does not match the current auth identity, Codex attempts to fetch managed requirements from the service (with retries) and writes a new signed cache entry on success. If no valid cached entry is available and the fetch fails or times out, Codex continues without the managed requirements layer.

61 

62After cache resolution, managed requirements are enforced as part of the normal requirements layering described above.

63 

64### Example requirements.toml

65 

66This example blocks `--ask-for-approval never` and `--sandbox danger-full-access` (including `--yolo`):

67 

68```toml

69allowed_approval_policies = ["untrusted", "on-request"]

70allowed_sandbox_modes = ["read-only", "workspace-write"]

71```

72 

73You can also constrain web search mode:

74 

75```toml

76allowed_web_search_modes = ["cached"] # "disabled" remains implicitly allowed

77```

78 

79`allowed_web_search_modes = []` effectively allows only `"disabled"`.

80For example, `allowed_web_search_modes = ["cached"]` prevents live web search even in `danger-full-access` sessions.

81 

82### Enforce command rules from requirements

83 

84Admins can also enforce restrictive command rules from `requirements.toml`

85using a `[rules]` table. These rules merge with regular `.rules` files, and the

86most restrictive decision still wins.

87 

88Unlike `.rules`, requirements rules must specify `decision`, and that decision

89must be `"prompt"` or `"forbidden"` (not `"allow"`).

90 

91```toml

92[rules]

93prefix_rules = [

94 { pattern = [{ token = "rm" }], decision = "forbidden", justification = "Use git clean -fd instead." },

95 { pattern = [{ token = "git" }, { any_of = ["push", "commit"] }], decision = "prompt", justification = "Require review before mutating history." },

96]

97```

98 

99To restrict which MCP servers Codex can enable, add an `mcp_servers` approved list. For stdio servers, match on `command`; for streamable HTTP servers, match on `url`:

100 

101```toml

102[mcp_servers.docs]

103identity = { command = "codex-mcp" }

104 

105[mcp_servers.remote]

106identity = { url = "https://example.com/mcp" }

107```

108 

109If `mcp_servers` is present but empty, Codex disables all MCP servers.

110 

111## Managed defaults (`managed_config.toml`)

112 

113Managed defaults merge on top of a user's local `config.toml` and take precedence over any CLI `--config` overrides, setting the starting values when Codex launches. Users can still change those settings during a session; Codex reapplies managed defaults the next time it starts.

114 

115Make sure your managed defaults meet your requirements; Codex rejects disallowed values.

116 

117### Precedence and layering

118 

119Codex assembles the effective configuration in this order (top overrides bottom):

120 

121- Managed preferences (macOS MDM; highest precedence)

122- `managed_config.toml` (system/managed file)

123- `config.toml` (user's base configuration)

124 

125CLI `--config key=value` overrides apply to the base, but managed layers override them. This means each run starts from the managed defaults even if you provide local flags.

126 

127Cloud-managed requirements affect the requirements layer (not managed defaults). See the Admin-enforced requirements section above for precedence.

128 

129### Locations

130 

131- Linux/macOS (Unix): `/etc/codex/managed_config.toml`

132- Windows/non-Unix: `~/.codex/managed_config.toml`

133 

134If the file is missing, Codex skips the managed layer.

135 

136### macOS managed preferences (MDM)

137 

138On macOS, admins can push a device profile that provides base64-encoded TOML payloads at:

139 

140- Preference domain: `com.openai.codex`

141- Keys:

142 - `config_toml_base64` (managed defaults)

143 - `requirements_toml_base64` (requirements)

144 

145Codex parses these “managed preferences” payloads as TOML. For managed defaults (`config_toml_base64`), managed preferences have the highest precedence. For requirements (`requirements_toml_base64`), precedence follows the cloud-managed requirements order described above.

146 

147### MDM setup workflow

148 

149Codex honors standard macOS MDM payloads, so you can distribute settings with tooling like `Jamf Pro`, `Fleet`, or `Kandji`. A lightweight deployment looks like:

150 

1511. Build the managed payload TOML and encode it with `base64` (no wrapping).

1522. Drop the string into your MDM profile under the `com.openai.codex` domain at `config_toml_base64` (managed defaults) or `requirements_toml_base64` (requirements).

1533. Push the profile, then ask users to restart Codex and confirm the startup config summary reflects the managed values.

1544. When revoking or changing policy, update the managed payload; the CLI reads the refreshed preference the next time it launches.

155 

156Avoid embedding secrets or high-churn dynamic values in the payload. Treat the managed TOML like any other MDM setting under change control.

157 

158### Example managed_config.toml

159 

160```toml

161# Set conservative defaults

162approval_policy = "on-request"

163sandbox_mode = "workspace-write"

164 

165[sandbox_workspace_write]

166network_access = false # keep network disabled unless explicitly allowed

167 

168[otel]

169environment = "prod"

170exporter = "otlp-http" # point at your collector

171log_user_prompt = false # keep prompts redacted

172# exporter details live under exporter tables; see Monitoring and telemetry above

173```

174 

175### Recommended guardrails

176 

177- Prefer `workspace-write` with approvals for most users; reserve full access for controlled containers.

178- Keep `network_access = false` unless your security review allows a collector or domains required by your workflows.

179- Use managed configuration to pin OTel settings (exporter, environment), but keep `log_user_prompt = false` unless your policy explicitly allows storing prompt contents.

180- Periodically audit diffs between local `config.toml` and managed policy to catch drift; managed layers should win over local flags and files.

explore.md +22 −5

Details

1# Explore – Codex1# Explore – Codex

2 2 

3Get ideas on what you can build with Codex

4 

5## Get started3## Get started

6 4 

7![](https://developers.openai.com/codex/colorcons/gamepad.png)Build a classic Snake game in this repo.Copied![](https://developers.openai.com/codex/colorcons/search.png)Find and fix bugs in my codebase with minimal, high-confidence changes.Copied![](https://developers.openai.com/codex/colorcons/sparkles.png)Propose and implement one high-leverage viral feature for my app.Copied![](https://developers.openai.com/codex/colorcons/tab-layout.png)Create a dashboard for ….Copied![](https://developers.openai.com/codex/colorcons/wand.png)Create an interactive prototype based on my meeting notes.Copied![](https://developers.openai.com/codex/colorcons/briefcase.png)Analyze a sales call and implement the highest-impact missing features.Copied![](https://developers.openai.com/codex/colorcons/brain.png)Explain the top failure modes of my application's architecture.Copied![](https://developers.openai.com/codex/colorcons/book.png)Write a bedtime story for a 5-year-old about my system's architecture.Copied5- Build a classic Snake game in this repo.

6- Find and fix bugs in my codebase with minimal, high-confidence changes.

7- Propose and implement one high-leverage viral feature for my app.

8- Create a dashboard for ….

9- Create an interactive prototype based on my meeting notes.

10- Analyze a sales call and implement the highest-impact missing features.

11- Explain the top failure modes of my application's architecture.

12- Write a bedtime story for a 5-year-old about my system's architecture.

8 13 

9## Use skills14## Use skills

10 15 

11![](https://developers.openai.com/codex/colorcons/poem.png)Create a one-page $pdf that summarizes this app.Copied![](https://developers.openai.com/codex/colorcons/design.png)Implement designs from my Figma file in this codebase using $figma-implement-design.Copied![](https://developers.openai.com/codex/colorcons/rocket.png)Deploy this project to Vercel with $vercel-deploy and a safe, minimal setup.Copied![](https://developers.openai.com/codex/colorcons/maps.png)Create a $doc with a 6-week roadmap for my app.Copied![](https://developers.openai.com/codex/colorcons/video.png)Analyze my codebase and create an investor/influencer-style ad concept for it using $sora.Copied![](https://developers.openai.com/codex/colorcons/tab-search.png)$gh-fix-ci iterate on my PR until CI is green.Copied![](https://developers.openai.com/codex/colorcons/medical.png)Monitor incoming bug reports on $sentry and attempt fixes.Copied![](https://developers.openai.com/codex/colorcons/child.png)Generate a $pdf bedtime story children's book.Copied![](https://developers.openai.com/codex/colorcons/connectors.png)Query my database and create a $spreadsheet with my top 10 customers.Copied16- Create a one-page $pdf that summarizes this app.

17- Implement designs from my Figma file in this codebase using $figma-implement-design.

18- Deploy this project to Vercel with $vercel-deploy and a safe, minimal setup.

19- Create a $doc with a 6-week roadmap for my app.

20- Analyze my codebase and create an investor/influencer-style ad concept for it using $sora.

21- $gh-fix-ci iterate on my PR until CI is green.

22- Monitor incoming bug reports on $sentry and attempt fixes.

23- Generate a $pdf bedtime story children's book.

24- Query my database and create a $spreadsheet with my top 10 customers.

12 25 

13## Create automations26## Create automations

14 27 

15Automate recurring tasks. Codex adds findings to the inbox and archives runs with nothing to report.28Automate recurring tasks. Codex adds findings to the inbox and archives runs with nothing to report.

16 29 

17![](https://developers.openai.com/codex/colorcons/calendar.png)Scan recent commits for likely bugs and propose minimal fixes.Copied![](https://developers.openai.com/codex/colorcons/book.png)Draft release notes from merged PRs.Copied![](https://developers.openai.com/codex/colorcons/chat.png)Summarize yesterday’s git activity for standup.Copied![](https://developers.openai.com/codex/colorcons/trends.png)Summarize CI failures and flaky tests.Copied![](https://developers.openai.com/codex/colorcons/trophy.png)Create a small classic game with minimal scope.Copied30- Scan recent commits for likely bugs and propose minimal fixes.

31- Draft release notes from merged PRs.

32- Summarize yesterday’s git activity for standup.

33- Summarize CI failures and flaky tests.

34- Create a small classic game with minimal scope.

Details

1# Feature Maturity1# Feature Maturity

2 2 

3How to interpret feature maturity levels in Codex docs and releases

4 

5Some Codex features ship behind a maturity label so you can understand how reliable each one is, what might change, and what level of support to expect.3Some Codex features ship behind a maturity label so you can understand how reliable each one is, what might change, and what level of support to expect.

6 4 

7| Maturity | What it means | Guidance |5| Maturity | What it means | Guidance |

Details

1# Codex GitHub Action1# Codex GitHub Action

2 2 

3Trigger Codex actions from GitHub Events

4 

5Use the Codex GitHub Action (`openai/codex-action@v1`) to run Codex in CI/CD jobs, apply patches, or post reviews from a GitHub Actions workflow.3Use the Codex GitHub Action (`openai/codex-action@v1`) to run Codex in CI/CD jobs, apply patches, or post reviews from a GitHub Actions workflow.

6The action installs the Codex CLI, starts the Responses API proxy when you provide an API key, and runs `codex exec` under the permissions you specify.4The action installs the Codex CLI, starts the Responses API proxy when you provide an API key, and runs `codex exec` under the permissions you specify.

7 5 

Details

1# Custom instructions with AGENTS.md1# Custom instructions with AGENTS.md

2 2 

3Give Codex extra instructions and context for your project

4 

5Codex reads `AGENTS.md` files before doing any work. By layering global guidance with project-specific overrides, you can start each task with consistent expectations, no matter which repository you open.3Codex reads `AGENTS.md` files before doing any work. By layering global guidance with project-specific overrides, you can start each task with consistent expectations, no matter which repository you open.

6 4 

7## How Codex discovers guidance5## How Codex discovers guidance

Details

1# Use Codex with the Agents SDK1# Use Codex with the Agents SDK

2 2 

3Invoke Codex as an MCP server to build multi-agent development workflows

4 

5# Running Codex as an MCP server3# Running Codex as an MCP server

6 4 

7You can run Codex as an MCP server and connect it from other MCP clients (for example, an agent built with the [OpenAI Agents SDK](https://openai.github.io/openai-agents-js/guides/mcp/)).5You can run Codex as an MCP server and connect it from other MCP clients (for example, an agent built with the [OpenAI Agents SDK](https://openai.github.io/openai-agents-js/guides/mcp/)).

Details

1# Building an AI-Native Engineering Team1# Building an AI-Native Engineering Team

2 2 

3How coding agents speed up the software development lifecycle

4 

5## Introduction3## Introduction

6 4 

7AI models are rapidly expanding the range of tasks they can perform, with significant implications for engineering. Frontier systems now sustain multi-hour reasoning: as of August 2025, METR found that leading models could complete **2 hours and 17 minutes** of continuous work with roughly **50% confidence** of producing a correct answer.5AI models are rapidly expanding the range of tasks they can perform, with significant implications for engineering. Frontier systems now sustain multi-hour reasoning: as of August 2025, METR found that leading models could complete **2 hours and 17 minutes** of continuous work with roughly **50% confidence** of producing a correct answer.

ide.md +0 −6

Details

1# Codex IDE extension1# Codex IDE extension

2 2 

3Pair with Codex in your IDE

4 

5Codex is OpenAI's coding agent that can read, edit, and run code. It helps you build faster, squash bugs, and understand unfamiliar code. With the Codex VS Code extension, you can use Codex side by side in your IDE or delegate tasks to Codex Cloud.3Codex is OpenAI's coding agent that can read, edit, and run code. It helps you build faster, squash bugs, and understand unfamiliar code. With the Codex VS Code extension, you can use Codex side by side in your IDE or delegate tasks to Codex Cloud.

6 4 

7ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. Learn more about [what's included](https://developers.openai.com/codex/pricing).5ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. Learn more about [what's included](https://developers.openai.com/codex/pricing).


90Use slash commands to control how Codex behaves and quickly change common settings from chat.](https://developers.openai.com/codex/ide/slash-commands)[### Extension settings88Use slash commands to control how Codex behaves and quickly change common settings from chat.](https://developers.openai.com/codex/ide/slash-commands)[### Extension settings

91 89 

92Tune Codex to your workflow with editor settings for models, approvals, and other defaults.](https://developers.openai.com/codex/ide/settings)90Tune Codex to your workflow with editor settings for models, approvals, and other defaults.](https://developers.openai.com/codex/ide/settings)

93 

94[Next

95 

96Features](https://developers.openai.com/codex/ide/features)

ide/commands.md +0 −8

Details

1# Codex IDE extension commands1# Codex IDE extension commands

2 2 

3Reference for Codex IDE extension commands and keyboard shortcuts

4 

5Use these commands to control Codex from the VS Code Command Palette. You can also bind them to keyboard shortcuts.3Use these commands to control Codex from the VS Code Command Palette. You can also bind them to keyboard shortcuts.

6 4 

7## Assign a key binding5## Assign a key binding


23| `chatgpt.implementTodo` | - | Ask Codex to address the selected TODO comment |21| `chatgpt.implementTodo` | - | Ask Codex to address the selected TODO comment |

24| `chatgpt.newCodexPanel` | - | Create a new Codex panel |22| `chatgpt.newCodexPanel` | - | Create a new Codex panel |

25| `chatgpt.openSidebar` | - | Opens the Codex sidebar panel |23| `chatgpt.openSidebar` | - | Opens the Codex sidebar panel |

26 

27[Previous

28 

29Settings](https://developers.openai.com/codex/ide/settings)[Next

30 

31Slash commands](https://developers.openai.com/codex/ide/slash-commands)

ide/features.md +0 −8

Details

1# Codex IDE extension features1# Codex IDE extension features

2 2 

3What you can do with the Codex IDE extension

4 

5The Codex IDE extension gives you access to Codex directly in VS Code, Cursor, Windsurf, and other VS Code-compatible editors. It uses the same agent as the Codex CLI and shares the same configuration.3The Codex IDE extension gives you access to Codex directly in VS Code, Cursor, Windsurf, and other VS Code-compatible editors. It uses the same agent as the Codex CLI and shares the same configuration.

6 4 

7## Prompting Codex5## Prompting Codex


72## See also70## See also

73 71 

74- [Codex IDE extension settings](https://developers.openai.com/codex/ide/settings)72- [Codex IDE extension settings](https://developers.openai.com/codex/ide/settings)

75 

76[Previous

77 

78Overview](https://developers.openai.com/codex/ide)[Next

79 

80Settings](https://developers.openai.com/codex/ide/settings)

ide/settings.md +0 −8

Details

1# Codex IDE extension settings1# Codex IDE extension settings

2 2 

3Reference for Codex IDE extension settings

4 

5Use these settings to customize the Codex IDE extension.3Use these settings to customize the Codex IDE extension.

6 4 

7## Change a setting5## Change a setting


23| `chatgpt.localeOverride` | Preferred language for the Codex UI. Leave empty to detect automatically. |21| `chatgpt.localeOverride` | Preferred language for the Codex UI. Leave empty to detect automatically. |

24| `chatgpt.openOnStartup` | Focus the Codex sidebar when the extension finishes starting. |22| `chatgpt.openOnStartup` | Focus the Codex sidebar when the extension finishes starting. |

25| `chatgpt.runCodexInWindowsSubsystemForLinux` | Windows only: Run Codex in WSL when Windows Subsystem for Linux (WSL) is available. Recommended for improved sandbox security and better performance. Codex agent mode on Windows currently requires WSL. Changing this setting reloads VS Code to apply the change. |23| `chatgpt.runCodexInWindowsSubsystemForLinux` | Windows only: Run Codex in WSL when Windows Subsystem for Linux (WSL) is available. Recommended for improved sandbox security and better performance. Codex agent mode on Windows currently requires WSL. Changing this setting reloads VS Code to apply the change. |

26 

27[Previous

28 

29Features](https://developers.openai.com/codex/ide/features)[Next

30 

31IDE Commands](https://developers.openai.com/codex/ide/commands)

Details

1# Codex IDE extension slash commands1# Codex IDE extension slash commands

2 2 

3Reference for slash commands in the Codex IDE extension

4 

5Slash commands let you control Codex without leaving the chat input. Use them to check status, switch between local and cloud mode, or send feedback.3Slash commands let you control Codex without leaving the chat input. Use them to check status, switch between local and cloud mode, or send feedback.

6 4 

7## Use a slash command5## Use a slash command


21| `/local` | Switch to local mode to run the task in your workspace. |19| `/local` | Switch to local mode to run the task in your workspace. |

22| `/review` | Start code review mode to review uncommitted changes or compare against a base branch. |20| `/review` | Start code review mode to review uncommitted changes or compare against a base branch. |

23| `/status` | Show the thread ID, context usage, and rate limits. |21| `/status` | Show the thread ID, context usage, and rate limits. |

24 

25[Previous

26 

27IDE Commands](https://developers.openai.com/codex/ide/commands)

Details

1# Use Codex in GitHub1# Use Codex in GitHub

2 2 

3Run Codex code review in pull requests

4 

5Use Codex to review pull requests without leaving GitHub. Add a pull request comment with `@codex review`, and Codex replies with a standard GitHub code review.3Use Codex to review pull requests without leaving GitHub. Add a pull request comment with `@codex review`, and Codex replies with a standard GitHub code review.

6 4 

7## Set up code review5## Set up code review

Details

1# Use Codex in Linear1# Use Codex in Linear

2 2 

3Run Codex tasks from Linear issues

4 

5Use Codex in Linear to delegate work from issues. Assign an issue to Codex or mention `@Codex` in a comment, and Codex creates a cloud task and replies with progress and results.3Use Codex in Linear to delegate work from issues. Assign an issue to Codex or mention `@Codex` in a comment, and Codex creates a cloud task and replies with progress and results.

6 4 

7Codex in Linear is available on paid plans (see [Pricing](https://developers.openai.com/codex/pricing)).5Codex in Linear is available on paid plans (see [Pricing](https://developers.openai.com/codex/pricing)).


22 20 

23After you install the integration, you can assign issues to Codex the same way you assign them to teammates. Codex starts work and posts updates back to the issue.21After you install the integration, you can assign issues to Codex the same way you assign them to teammates. Codex starts work and posts updates back to the issue.

24 22 

25![Assigning Codex to a Linear issue (light mode)](/images/codex/integrations/linear-assign-codex-light.webp)![Assigning Codex to a Linear issue (dark mode)](/images/codex/integrations/linear-assign-codex-dark.webp)23![Assigning Codex to a Linear issue (light mode)](/images/codex/integrations/linear-assign-codex-light.webp)

26 24 

27### Mention `@Codex` in comments25### Mention `@Codex` in comments

28 26 

29You can also mention `@Codex` in comment threads to delegate work or ask questions. After Codex replies, follow up in the thread to continue the same session.27You can also mention `@Codex` in comment threads to delegate work or ask questions. After Codex replies, follow up in the thread to continue the same session.

30 28 

31![Mentioning Codex in a Linear issue comment (light mode)](/images/codex/integrations/linear-comment-light.webp)![Mentioning Codex in a Linear issue comment (dark mode)](/images/codex/integrations/linear-comment-dark.webp)29![Mentioning Codex in a Linear issue comment (light mode)](/images/codex/integrations/linear-comment-light.webp)

32 30 

33After Codex starts working on an issue, it [chooses an environment and repo](#how-codex-chooses-an-environment-and-repo) to work in.31After Codex starts working on an issue, it [chooses an environment and repo](#how-codex-chooses-an-environment-and-repo) to work in.

34To pin a specific repo, include it in your comment, for example: `@Codex fix this in openai/codex`.32To pin a specific repo, include it in your comment, for example: `@Codex fix this in openai/codex`.


58Linear assigns new issues that enter triage to Codex automatically.56Linear assigns new issues that enter triage to Codex automatically.

59When you use triage rules, Codex runs tasks using the account of the issue creator.57When you use triage rules, Codex runs tasks using the account of the issue creator.

60 58 

61![Screenshot of an example triage rule assigning everything to Codex and labeling it in the "Triage" status (light mode)](/images/codex/integrations/linear-triage-rule-light.webp)![Screenshot of an example triage rule assigning everything to Codex and labeling it in the "Triage" status (dark mode)](/images/codex/integrations/linear-triage-rule-dark.webp)59![Screenshot of an example triage rule assigning everything to Codex and labeling it in the "Triage" status (light mode)](/images/codex/integrations/linear-triage-rule-light.webp)

62 60 

63## Data usage, privacy, and security61## Data usage, privacy, and security

64 62 

Details

1# Use Codex in Slack1# Use Codex in Slack

2 2 

3Ask Codex to run tasks from channels and threads

4 

5Use Codex in Slack to kick off coding tasks from channels and threads. Mention `@Codex` with a prompt, and Codex creates a cloud task and replies with the results.3Use Codex in Slack to kick off coding tasks from channels and threads. Mention `@Codex` with a prompt, and Codex creates a cloud task and replies with the results.

6 4 

7![Codex Slack integration in action](/images/codex/integrations/slack-example.png)5![Codex Slack integration in action](/images/codex/integrations/slack-example.png)

mcp.md +9 −3

Details

1# Model Context Protocol1# Model Context Protocol

2 2 

3Give Codex access to third-party tools and context

4 

5Model Context Protocol (MCP) connects models to tools and context. Use it to give Codex access to third-party documentation, or to let it interact with developer tools like your browser or Figma.3Model Context Protocol (MCP) connects models to tools and context. Use it to give Codex access to third-party documentation, or to let it interact with developer tools like your browser or Figma.

6 4 

7Codex supports MCP servers in both the CLI and the IDE extension.5Codex supports MCP servers in both the CLI and the IDE extension.


77- `enabled_tools` (optional): Tool allow list.75- `enabled_tools` (optional): Tool allow list.

78- `disabled_tools` (optional): Tool deny list (applied after `enabled_tools`).76- `disabled_tools` (optional): Tool deny list (applied after `enabled_tools`).

79 77 

80If your OAuth provider requires a static callback URI, set the top-level `mcp_oauth_callback_port` in `config.toml`. If unset, Codex binds to an ephemeral port.78If your OAuth provider requires a fixed callback port, set the top-level `mcp_oauth_callback_port` in `config.toml`. If unset, Codex binds to an ephemeral port.

79 

80If your MCP OAuth flow must use a specific callback URL (for example, a remote devbox ingress URL or a custom callback path), set `mcp_oauth_callback_url`. Codex uses this value as the OAuth `redirect_uri` while still using `mcp_oauth_callback_port` for the callback listener port. Local callback URLs (for example `localhost`) bind on loopback; non-local callback URLs bind on `0.0.0.0` so the callback can reach the host.

81 81 

82#### config.toml examples82#### config.toml examples

83 83 


90MY_ENV_VAR = "MY_ENV_VALUE"90MY_ENV_VAR = "MY_ENV_VALUE"

91```91```

92 92 

93```toml

94# Optional MCP OAuth callback overrides (used by `codex mcp login`)

95mcp_oauth_callback_port = 5555

96mcp_oauth_callback_url = "https://devbox.example.internal/callback"

97```

98 

93```toml99```toml

94[mcp_servers.figma]100[mcp_servers.figma]

95url = "https://mcp.figma.com/mcp"101url = "https://mcp.figma.com/mcp"

models.md +7 −9

Details

1# Codex Models1# Codex Models

2 2 

3Meet the AI models that power Codex

4 

5## Recommended models3## Recommended models

6 4 

7![gpt-5.3-codex](/images/codex/codex-wallpaper-1.webp)5![gpt-5.3-codex](/images/codex/codex-wallpaper-1.webp)


84 82 

85## Alternative models83## Alternative models

86 84 

87![gpt-5.2](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5.2.jpg)85![gpt-5.2](/images/api/models/gpt-5.2.jpg)

88 86 

89gpt-5.287gpt-5.2

90 88 


96 94 

97Show details95Show details

98 96 

99![gpt-5.1-codex-max](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5.1-codex-max.jpg)97![gpt-5.1-codex-max](/images/api/models/gpt-5.1-codex-max.jpg)

100 98 

101gpt-5.1-codex-max99gpt-5.1-codex-max

102 100 


108 106 

109Show details107Show details

110 108 

111![gpt-5.1](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5.1.jpg)109![gpt-5.1](/images/api/models/gpt-5.1.jpg)

112 110 

113gpt-5.1111gpt-5.1

114 112 


120 118 

121Show details119Show details

122 120 

123![gpt-5.1-codex](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5.1-codex.jpg)121![gpt-5.1-codex](/images/api/models/gpt-5.1-codex.jpg)

124 122 

125gpt-5.1-codex123gpt-5.1-codex

126 124 


132 130 

133Show details131Show details

134 132 

135![gpt-5-codex](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5-codex.jpg)133![gpt-5-codex](/images/api/models/gpt-5-codex.jpg)

136 134 

137gpt-5-codex135gpt-5-codex

138 136 


144 142 

145Show details143Show details

146 144 

147![gpt-5-codex-mini](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5-codex.jpg)145![gpt-5-codex-mini](/images/api/models/gpt-5-codex.jpg)

148 146 

149gpt-5-codex-mini147gpt-5-codex-mini

150 148 


156 154 

157Show details155Show details

158 156 

159![gpt-5](https://cdn.openai.com/API/docs/images/model-page/model-art/gpt-5.jpg)157![gpt-5](/images/api/models/gpt-5.jpg)

160 158 

161gpt-5159gpt-5

162 160 

multi-agent.md +142 −16

Details

1# Multi-agents1# Multi-agents

2 2 

3Use experimental multi-agent collaboration in Codex CLI

4 

5Codex can run multi-agent workflows by spawning specialized agents in parallel and then collecting their results in one response. This can be particularly helpful for complex tasks that are highly parallel, such as codebase exploration or implementing a multi-step feature plan.3Codex can run multi-agent workflows by spawning specialized agents in parallel and then collecting their results in one response. This can be particularly helpful for complex tasks that are highly parallel, such as codebase exploration or implementing a multi-step feature plan.

6 4 

7With multi-agent workflows you can also define your own set of agents with different model configurations and instructions depending on the agent.5With multi-agent workflows you can also define your own set of agents with different model configurations and instructions depending on the agent.

8 6 

7For the concepts and tradeoffs behind multi-agent workflows (including context pollution/context rot and model-selection guidance), see [Multi-agents concepts](https://developers.openai.com/codex/concepts/multi-agents).

8 

9## Enable multi-agent9## Enable multi-agent

10 10 

11Multi-agent workflows are currently experimental and need to be explicitly enabled.11Multi-agent workflows are currently experimental and need to be explicitly enabled.


31 31 

32Codex will automatically decide when to spawn a new agent or you can explicitly ask it to do so.32Codex will automatically decide when to spawn a new agent or you can explicitly ask it to do so.

33 33 

34For long-running commands or polling workflows, Codex can also use the built-in `monitor` role, which is tuned for waiting and repeated status checks.

35 

34To see it in action, try the following prompt on your project:36To see it in action, try the following prompt on your project:

35 37 

36```38```


47 49 

48- Use `/agent` in the CLI to switch between active agent threads and inspect the ongoing thread.50- Use `/agent` in the CLI to switch between active agent threads and inspect the ongoing thread.

49- Ask Codex directly to steer a running sub-agent, stop it, or close completed agent threads.51- Ask Codex directly to steer a running sub-agent, stop it, or close completed agent threads.

52- The `wait` tool supports long polling windows for monitoring workflows (up to 1 hour per call).

50 53 

51## Approvals and sandbox controls54## Approvals and sandbox controls

52 55 


68 71 

69Codex ships with built-in roles:72Codex ships with built-in roles:

70 73 

71- `default`74- `default`: general-purpose fallback role.

72- `worker`75- `worker`: execution-focused role for implementation and fixes.

73- `explorer`76- `explorer`: read-heavy codebase exploration role.

77- `monitor`: long-running command/task monitoring role (optimized for waiting/polling).

74 78 

75Each agent role can override your default configuration. Common settings to override for an agent role are:79Each agent role can override your default configuration. Common settings to override for an agent role are:

76 80 


83| Field | Type | Required | Purpose |87| Field | Type | Required | Purpose |

84| --- | --- | --- | --- |88| --- | --- | --- | --- |

85| `agents.max_threads` | number | No | Maximum number of concurrently open agent threads. |89| `agents.max_threads` | number | No | Maximum number of concurrently open agent threads. |

90| `agents.max_depth` | number | No | Maximum nesting depth for spawned agent threads (root session starts at 0). |

86| `[agents.<name>]` | table | No | Declares a role. `<name>` is used as the `agent_type` when spawning an agent. |91| `[agents.<name>]` | table | No | Declares a role. `<name>` is used as the `agent_type` when spawning an agent. |

87| `agents.<name>.description` | string | No | Human-facing role guidance shown to Codex when it decides which role to use. |92| `agents.<name>.description` | string | No | Human-facing role guidance shown to Codex when it decides which role to use. |

88| `agents.<name>.config_file` | string (path) | No | Path to a TOML config layer applied to spawned agents for that role. |93| `agents.<name>.config_file` | string (path) | No | Path to a TOML config layer applied to spawned agents for that role. |


90**Notes:**95**Notes:**

91 96 

92- Unknown fields in `[agents.<name>]` are rejected.97- Unknown fields in `[agents.<name>]` are rejected.

98- `agents.max_depth` defaults to `1`, which allows a direct child agent to spawn but prevents deeper nesting.

93- Relative `config_file` paths are resolved relative to the `config.toml` file that defines the role.99- Relative `config_file` paths are resolved relative to the `config.toml` file that defines the role.

100- `agents.<name>.config_file` is validated at config load time and must point to an existing file.

94- If a role name matches a built-in role (for example, `explorer`), your user-defined role takes precedence.101- If a role name matches a built-in role (for example, `explorer`), your user-defined role takes precedence.

95- If Codex can’t load a role config file, agent spawns can fail until you fix the file.102- If Codex can’t load a role config file, agent spawns can fail until you fix the file.

96- Any configuration not set by the agent role will be inherited from the parent session.103- Any configuration not set by the agent role will be inherited from the parent session.

97 104 

98### Example agent roles105### Example agent roles

99 106 

100Below is an example that overrides the definitions for the built-in `default` and `explorer` agent roles and defines a new `reviewer` role.107The best role definitions are narrow and opinionated. Give each role one clear job, a tool surface that matches that job, and instructions that keep it from drifting into adjacent work.

108 

109#### Example 1: PR review team

101 110 

102Example `~/.codex/config.toml`:111This pattern splits review into three focused roles:

112 

113- `explorer` maps the codebase and gathers evidence.

114- `reviewer` looks for correctness, security, and test risks.

115- `docs_researcher` checks framework or API documentation through a dedicated MCP server.

116 

117Project config (`.codex/config.toml`):

103 118 

104```119```

105[agents.default]120[agents]

106description = "General-purpose helper."121max_threads = 6

122max_depth = 1

123 

124[agents.explorer]

125description = "Read-only codebase explorer for gathering evidence before changes are proposed."

126config_file = "agents/explorer.toml"

107 127 

108[agents.reviewer]128[agents.reviewer]

109description = "Find security, correctness, and test risks in code."129description = "PR reviewer focused on correctness, security, and missing tests."

110config_file = "agents/reviewer.toml"130config_file = "agents/reviewer.toml"

111 131 

112[agents.explorer]132[agents.docs_researcher]

113description = "Fast codebase explorer for read-heavy tasks."133description = "Documentation specialist that uses the docs MCP server to verify APIs and framework behavior."

114config_file = "agents/custom-explorer.toml"134config_file = "agents/docs-researcher.toml"

115```135```

116 136 

117Example config file for the `reviewer` role (`~/.codex/agents/reviewer.toml`):137`agents/explorer.toml`:

138 

139```

140model = "gpt-5.3-codex-spark"

141model_reasoning_effort = "medium"

142sandbox_mode = "read-only"

143developer_instructions = """

144Stay in exploration mode.

145Trace the real execution path, cite files and symbols, and avoid proposing fixes unless the parent agent asks for them.

146Prefer fast search and targeted file reads over broad scans.

147"""

148```

149 

150`agents/reviewer.toml`:

118 151 

119```152```

120model = "gpt-5.3-codex"153model = "gpt-5.3-codex"

121model_reasoning_effort = "high"154model_reasoning_effort = "high"

122developer_instructions = "Focus on high priority issues, write tests to validate hypothesis before flagging an issue. When finding security issues give concrete steps on how to reproduce the vulnerability."155sandbox_mode = "read-only"

156developer_instructions = """

157Review code like an owner.

158Prioritize correctness, security, behavior regressions, and missing test coverage.

159Lead with concrete findings, include reproduction steps when possible, and avoid style-only comments unless they hide a real bug.

160"""

161```

162 

163`agents/docs-researcher.toml`:

164 

165```

166model = "gpt-5.3-codex-spark"

167model_reasoning_effort = "medium"

168sandbox_mode = "read-only"

169developer_instructions = """

170Use the docs MCP server to confirm APIs, options, and version-specific behavior.

171Return concise answers with links or exact references when available.

172Do not make code changes.

173"""

174 

175[mcp_servers.openaiDeveloperDocs]

176url = "https://developers.openai.com/mcp"

177```

178 

179This setup works well for prompts like:

180 

181```

182Review this branch against main. Have explorer map the affected code paths, reviewer find real risks, and docs_researcher verify the framework APIs that the patch relies on.

183```

184 

185#### Example 2: frontend integration debugging team

186 

187This pattern is useful for UI regressions, flaky browser flows, or integration bugs that cross application code and the running product.

188 

189Project config (`.codex/config.toml`):

190 

191```

192[agents]

193max_threads = 6

194max_depth = 1

195 

196[agents.explorer]

197description = "Read-only codebase explorer for locating the relevant frontend and backend code paths."

198config_file = "agents/explorer.toml"

199 

200[agents.browser_debugger]

201description = "UI debugger that uses browser tooling to reproduce issues and capture evidence."

202config_file = "agents/browser-debugger.toml"

203 

204[agents.worker]

205description = "Implementation-focused agent for small, targeted fixes after the issue is understood."

206config_file = "agents/worker.toml"

123```207```

124 208 

125Example config file for the `explorer` role (`~/.codex/agents/custom-explorer.toml`):209`agents/explorer.toml`:

126 210 

127```211```

128model = "gpt-5.3-codex-spark"212model = "gpt-5.3-codex-spark"

129model_reasoning_effort = "medium"213model_reasoning_effort = "medium"

130sandbox_mode = "read-only"214sandbox_mode = "read-only"

215developer_instructions = """

216Map the code that owns the failing UI flow.

217Identify entry points, state transitions, and likely files before the worker starts editing.

218"""

219```

220 

221`agents/browser-debugger.toml`:

222 

223```

224model = "gpt-5.3-codex"

225model_reasoning_effort = "high"

226sandbox_mode = "workspace-write"

227developer_instructions = """

228Reproduce the issue in the browser, capture exact steps, and report what the UI actually does.

229Use browser tooling for screenshots, console output, and network evidence.

230Do not edit application code.

231"""

232 

233[mcp_servers.chrome_devtools]

234url = "http://localhost:3000/mcp"

235startup_timeout_sec = 20

236```

237 

238`agents/worker.toml`:

239 

240```

241model = "gpt-5.3-codex"

242model_reasoning_effort = "medium"

243developer_instructions = """

244Own the fix once the issue is reproduced.

245Make the smallest defensible change, keep unrelated files untouched, and validate only the behavior you changed.

246"""

247 

248[[skills.config]]

249path = "/Users/me/.agents/skills/docs-editor/SKILL.md"

250enabled = false

251```

252 

253This setup works well for prompts like:

254 

255```

256Investigate why the settings modal fails to save. Have browser_debugger reproduce it, explorer trace the responsible code path, and worker implement the smallest fix once the failure mode is clear.

131```257```

Details

1# Non-interactive mode1# Non-interactive mode

2 2 

3Use `codex exec` to run Codex in scripts and CI

4 

5Non-interactive mode lets you run Codex from scripts (for example, continuous integration (CI) jobs) without opening the interactive TUI.3Non-interactive mode lets you run Codex from scripts (for example, continuous integration (CI) jobs) without opening the interactive TUI.

6You invoke it with `codex exec`.4You invoke it with `codex exec`.

7 5 

open-source.md +0 −2

Details

1# Open Source1# Open Source

2 2 

3Open-source components of Codex and where to collaborate

4 

5OpenAI develops key parts of Codex in the open. That work lives on GitHub so you can follow progress, report issues, and contribute improvements.3OpenAI develops key parts of Codex in the open. That work lives on GitHub so you can follow progress, report issues, and contribute improvements.

6 4 

7## Open-source components5## Open-source components

overview.md +3 −7

Details

1# Codex1# Codex

2 2 

3One agent for everywhere you code3![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-light.webp)

4 

5![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-light.webp) ![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-dark.webp)

6 

7![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-light.webp) ![Codex app showing a project sidebar, thread list, and review pane](/images/codex/app/codex-app-basic-dark.webp)

8 4 

9Codex is OpenAI’s coding agent for software development. ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. It can help you:5Codex is OpenAI’s coding agent for software development. ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. It can help you:

10 6 


26 22 

27 Learn more](https://developers.openai.com/codex/explore) [### Community23 Learn more](https://developers.openai.com/codex/explore) [### Community

28 24 

29Join the OpenAI Discord to ask questions, share workflows and connect with others.25Explore Codex Ambassadors and upcoming community meetups by location.

30 26 

31 Join the Discord](https://discord.gg/openai)27 See community](https://developers.openai.com/codex/community/meetups)

prompting.md +0 −2

Details

1# Prompting1# Prompting

2 2 

3Interacting with the Codex agent

4 

5## Prompts3## Prompts

6 4 

7You interact with Codex by sending prompts (user messages) that describe what you want it to do.5You interact with Codex by sending prompts (user messages) that describe what you want it to do.

quickstart.md +12 −10

Details

1# Quickstart1# Quickstart

2 2 

3Start using Codex in your IDE, CLI, or the cloud

4 

5ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. Using Codex with your ChatGPT subscription gives you access to the latest Codex models and features.3ChatGPT Plus, Pro, Business, Edu, and Enterprise plans include Codex. Using Codex with your ChatGPT subscription gives you access to the latest Codex models and features.

6 4 

7You can also use Codex with API credits by signing in with an OpenAI API key.5You can also use Codex with API credits by signing in with an OpenAI API key.


12 10 

13## Setup11## Setup

14 12 

15Choose an option

16 

17AppRecommended (macOS only)IDE extensionCodex in your IDECLICodex in your terminalCloudCodex in your browser

18 

19The Codex app is available on macOS (Apple Silicon).13The Codex app is available on macOS (Apple Silicon).

20 14 

211. Download and install the Codex app151. Download and install the Codex app


42 36 

43 You can ask Codex anything about the project or your computer in general. Here are some examples:37 You can ask Codex anything about the project or your computer in general. Here are some examples:

44 38 

45 ![](https://developers.openai.com/codex/colorcons/brain.png)Tell me about this projectCopied![](https://developers.openai.com/codex/colorcons/gamepad.png)Build a classic Snake game in this repo.Copied![](https://developers.openai.com/codex/colorcons/search.png)Find and fix bugs in my codebase with minimal, high-confidence changes.Copied39- Tell me about this project

40- Build a classic Snake game in this repo.

41- Find and fix bugs in my codebase with minimal, high-confidence changes.

46 42 

47 If you need more inspiration, check out the [explore section](https://developers.openai.com/codex/explore).43 If you need more inspiration, check out the [explore section](https://developers.openai.com/codex/explore).

48 44 


67 63 

68 Codex starts in Agent mode by default, which lets it read files, run commands, and write changes in your project directory.64 Codex starts in Agent mode by default, which lets it read files, run commands, and write changes in your project directory.

69 65 

70 ![](https://developers.openai.com/codex/colorcons/brain.png)Tell me about this projectCopied![](https://developers.openai.com/codex/colorcons/gamepad.png)Build a classic Snake game in this repo.Copied![](https://developers.openai.com/codex/colorcons/search.png)Find and fix bugs in my codebase with minimal, high-confidence changes.Copied66- Tell me about this project

67- Build a classic Snake game in this repo.

68- Find and fix bugs in my codebase with minimal, high-confidence changes.

714. Use Git checkpoints694. Use Git checkpoints

72 70 

73 Codex can modify your codebase, so consider creating Git checkpoints before and after each task so you can easily revert changes if needed.71 Codex can modify your codebase, so consider creating Git checkpoints before and after each task so you can easily revert changes if needed.


96 94 

97 Once authenticated, you can ask Codex to perform tasks in the current directory.95 Once authenticated, you can ask Codex to perform tasks in the current directory.

98 96 

99 ![](https://developers.openai.com/codex/colorcons/brain.png)Tell me about this projectCopied![](https://developers.openai.com/codex/colorcons/gamepad.png)Build a classic Snake game in this repo.Copied![](https://developers.openai.com/codex/colorcons/search.png)Find and fix bugs in my codebase with minimal, high-confidence changes.Copied97- Tell me about this project

98- Build a classic Snake game in this repo.

99- Find and fix bugs in my codebase with minimal, high-confidence changes.

1004. Use Git checkpoints1004. Use Git checkpoints

101 101 

102 Codex can modify your codebase, so consider creating Git checkpoints before and after each task so you can easily revert changes if needed.102 Codex can modify your codebase, so consider creating Git checkpoints before and after each task so you can easily revert changes if needed.


115 115 

116 Once your environment is ready, launch coding tasks from the [Codex interface](https://chatgpt.com/codex). You can monitor progress in real time by viewing logs, or let tasks run in the background.116 Once your environment is ready, launch coding tasks from the [Codex interface](https://chatgpt.com/codex). You can monitor progress in real time by viewing logs, or let tasks run in the background.

117 117 

118 ![](https://developers.openai.com/codex/colorcons/brain.png)Tell me about this projectCopied![](https://developers.openai.com/codex/colorcons/brain.png)Explain the top failure modes of my application's architecture.Copied![](https://developers.openai.com/codex/colorcons/search.png)Find and fix bugs in my codebase with minimal, high-confidence changes.Copied118- Tell me about this project

119- Explain the top failure modes of my application's architecture.

120- Find and fix bugs in my codebase with minimal, high-confidence changes.

1194. Review changes and create a pull request1214. Review changes and create a pull request

120 122 

121 When a task completes, review the proposed changes in the diff view. You can iterate on the results or create a pull request directly in your GitHub repository.123 When a task completes, review the proposed changes in the diff view. You can iterate on the results or create a pull request directly in your GitHub repository.

rules.md +1 −3

Details

1# Rules1# Rules

2 2 

3Control which commands Codex can run outside the sandbox

4 

5Use rules to control which commands Codex can run outside the sandbox.3Use rules to control which commands Codex can run outside the sandbox.

6 4 

7Rules are experimental and may change.5Rules are experimental and may change.


45carefully before accepting it.43carefully before accepting it.

46 44 

47Admins can also enforce restrictive `prefix_rule` entries from45Admins can also enforce restrictive `prefix_rule` entries from

48[`requirements.toml`](https://developers.openai.com/codex/security#admin-enforced-requirements-requirementstoml).46[`requirements.toml`](https://developers.openai.com/codex/enterprise/managed-configuration#admin-enforced-requirements-requirementstoml).

49 47 

50## Understand rule fields48## Understand rule fields

51 49 

sdk.md +0 −2

Details

1# Codex SDK1# Codex SDK

2 2 

3Programmatically control local Codex agents

4 

5If you use Codex through the Codex CLI, the IDE extension, or Codex Web, you can also control it programmatically.3If you use Codex through the Codex CLI, the IDE extension, or Codex Web, you can also control it programmatically.

6 4 

7Use the SDK when you need to:5Use the SDK when you need to:

security.md +22 −161

Details

1# Codex Security1# Codex Security

2 2 

3How to securely operate and manage Codex agents

4 

5Codex helps protect your code and data and reduces the risk of misuse.3Codex helps protect your code and data and reduces the risk of misuse.

6 4 

7By default, the agent runs with network access turned off. Locally, Codex uses an OS-enforced sandbox that limits what it can touch (typically to the current workspace), plus an approval policy that controls when it must stop and ask you before acting.5By default, the agent runs with network access turned off. Locally, Codex uses an OS-enforced sandbox that limits what it can touch (typically to the current workspace), plus an approval policy that controls when it must stop and ask you before acting.


15 13 

16Codex uses different sandbox modes depending on where you run it:14Codex uses different sandbox modes depending on where you run it:

17 15 

18- **Codex cloud**: Runs in isolated OpenAI-managed containers, preventing access to your host system or unrelated data. You can expand access intentionally (for example, to install dependencies or allow specific domains) when needed. Network access is always enabled during the setup phase, which runs before the agent has access to your code.16- **Codex cloud**: Runs in isolated OpenAI-managed containers, preventing access to your host system or unrelated data. Uses a two-phase runtime model: setup runs before the agent phase and can access the network to install specified dependencies, then the agent phase runs offline by default unless you enable internet access for that environment. Secrets configured for cloud environments are available only during setup and are removed before the agent phase starts.

19- **Codex CLI / IDE extension**: OS-level mechanisms enforce sandbox policies. Defaults include no network access and write permissions limited to the active workspace. You can configure the sandbox, approval policy, and network settings based on your risk tolerance.17- **Codex CLI / IDE extension**: OS-level mechanisms enforce sandbox policies. Defaults include no network access and write permissions limited to the active workspace. You can configure the sandbox, approval policy, and network settings based on your risk tolerance.

20 18 

21In the `Auto` preset (for example, `--full-auto`), Codex can read files, make edits, and run commands in the working directory automatically.19In the `Auto` preset (for example, `--full-auto`), Codex can read files, make edits, and run commands in the working directory automatically.

22 20 

23Codex asks for approval to edit files outside the workspace or to run commands that require network access. If you want to chat or plan without making changes, switch to `read-only` mode with the `/permissions` command.21Codex asks for approval to edit files outside the workspace or to run commands that require network access. If you want to chat or plan without making changes, switch to `read-only` mode with the `/permissions` command.

24 22 

25Codex can also elicit approval for app (connector) tool calls that advertise side effects, even when the action isn’t a shell command or file change.23Codex can also elicit approval for app (connector) tool calls that advertise side effects, even when the action isn’t a shell command or file change. Destructive app/MCP tool calls always require approval when the tool advertises a destructive annotation, even if it also advertises other hints (for example, read-only hints).

26 24 

27## Network access [Elevated Risk](https://help.openai.com/articles/20001061)25## Network access [Elevated Risk](https://help.openai.com/articles/20001061)

28 26 


75 73 

76If you need Codex to read files, make edits, and run commands with network access without approval prompts, use `--sandbox danger-full-access` (or the `--dangerously-bypass-approvals-and-sandbox` flag). Use caution before doing so.74If you need Codex to read files, make edits, and run commands with network access without approval prompts, use `--sandbox danger-full-access` (or the `--dangerously-bypass-approvals-and-sandbox` flag). Use caution before doing so.

77 75 

76For a middle ground, `approval_policy = { reject = { ... } }` lets you auto-reject specific approval prompt categories (sandbox escalation, execpolicy-rule prompts, or MCP elicitations) while keeping other prompts interactive.

77 

78### Common sandbox and approval combinations78### Common sandbox and approval combinations

79 79 

80| Intent | Flags | Effect |80| Intent | Flags | Effect |


91 91 

92#### Configuration in `config.toml`92#### Configuration in `config.toml`

93 93 

94For the broader configuration workflow, see [Config basics](https://developers.openai.com/codex/config-basic), [Advanced Config](https://developers.openai.com/codex/config-advanced#approval-policies-and-sandbox-modes), and the [Configuration Reference](https://developers.openai.com/codex/config-reference).

95 

94```96```

95# Always ask for approval mode97# Always ask for approval mode

96approval_policy = "untrusted"98approval_policy = "untrusted"

97sandbox_mode = "read-only"99sandbox_mode = "read-only"

100allow_login_shell = false # optional hardening: disallow login shells for shell-based tools

98 101 

99# Optional: Allow network in workspace-write mode102# Optional: Allow network in workspace-write mode

100[sandbox_workspace_write]103[sandbox_workspace_write]

101network_access = true104network_access = true

105 

106# Optional: granular approval prompt auto-rejection

107# approval_policy = { reject = { sandbox_approval = true, rules = false, mcp_elicitations = false } }

102```108```

103 109 

104You can also save presets as profiles, then select them with `codex --profile <name>`:110You can also save presets as profiles, then select them with `codex --profile <name>`:


130 136 

131Codex enforces the sandbox differently depending on your OS:137Codex enforces the sandbox differently depending on your OS:

132 138 

133- **macOS** uses Seatbelt policies and runs commands using `sandbox-exec` with a profile (`-p`) that corresponds to the `--sandbox` mode you selected.139- **macOS** uses Seatbelt policies and runs commands using `sandbox-exec` with a profile (`-p`) that corresponds to the `--sandbox` mode you selected. When restricted read access enables platform defaults, Codex appends a curated macOS platform policy (instead of broadly allowing `/System`) to preserve common tool compatibility.

134- **Linux** uses `Landlock` plus `seccomp` by default. You can opt into the alternative Linux sandbox pipeline with `features.use_linux_sandbox_bwrap = true` (or `-c use_linux_sandbox_bwrap=true`).140- **Linux** uses `Landlock` plus `seccomp` by default. You can opt into the alternative Linux sandbox pipeline with `features.use_linux_sandbox_bwrap = true` (or `-c use_linux_sandbox_bwrap=true`). In managed proxy mode, the bwrap pipeline routes egress through a proxy-only bridge and fails closed if it cannot build valid loopback proxy routes; landlock-only flows do not use that bridge behavior.

135- **Windows** uses the Linux sandbox implementation when running in [Windows Subsystem for Linux (WSL)](https://developers.openai.com/codex/windows#windows-subsystem-for-linux). When running natively on Windows, you can enable an [experimental sandbox](https://developers.openai.com/codex/windows#windows-experimental-sandbox) implementation.141- **Windows** uses the Linux sandbox implementation when running in [Windows Subsystem for Linux (WSL)](https://developers.openai.com/codex/windows#windows-subsystem-for-linux). When running natively on Windows, Codex uses a [Windows sandbox](https://developers.openai.com/codex/windows#windows-sandbox) implementation.

136 142 

137If you use the Codex IDE extension on Windows, it supports WSL directly. Set the following in your VS Code settings to keep the agent inside WSL whenever it’s available:143If you use the Codex IDE extension on Windows, it supports WSL directly. Set the following in your VS Code settings to keep the agent inside WSL whenever it’s available:

138 144 


144 150 

145This ensures the IDE extension inherits Linux sandbox semantics for commands, approvals, and filesystem access even when the host OS is Windows. Learn more in the [Windows setup guide](https://developers.openai.com/codex/windows).151This ensures the IDE extension inherits Linux sandbox semantics for commands, approvals, and filesystem access even when the host OS is Windows. Learn more in the [Windows setup guide](https://developers.openai.com/codex/windows).

146 152 

147The native Windows sandbox is experimental and has important limitations. For example, it can’t prevent writes in directories where the `Everyone` SID already has write permissions (for example, world-writable folders). See the [Windows setup guide](https://developers.openai.com/codex/windows#windows-experimental-sandbox) for details and mitigation steps.153When running natively on Windows, configure the native sandbox mode in `config.toml`:

154 

155```

156[windows]

157sandbox = "unelevated" # or "elevated"

158```

159 

160See the [Windows setup guide](https://developers.openai.com/codex/windows#windows-sandbox) for details.

148 161 

149When you run Linux in a containerized environment such as Docker, the sandbox may not work if the host or container configuration doesn’t support the required `Landlock` and `seccomp` features.162When you run Linux in a containerized environment such as Docker, the sandbox may not work if the host or container configuration doesn’t support the required `Landlock` and `seccomp` features.

150 163 


230 243 

231## Managed configuration244## Managed configuration

232 245 

233Enterprise admins can control local Codex behavior in two ways:246Enterprise admins can configure Codex security settings for their workspace in [Managed configuration](https://developers.openai.com/codex/enterprise/managed-configuration). See that page for setup and policy details.

234 

235- **Requirements**: admin-enforced constraints that users can’t override.

236- **Managed defaults**: starting values applied when Codex launches. Users can still change settings during a session; Codex reapplies managed defaults the next time it starts.

237 

238### Admin-enforced requirements (requirements.toml)

239 

240Requirements constrain security-sensitive settings (approval policy, sandbox mode, web search mode, and optionally which MCP servers you can enable). If a user explicitly selects a disallowed value (via `config.toml`, CLI flags, profiles, or in-session UI), Codex rejects the change. If a value isn’t explicitly set and the default conflicts with requirements, Codex falls back to a requirements-compliant default. If you configure an `mcp_servers` approved list, Codex enables an MCP server only when both its name and identity match an approved entry; otherwise, Codex turns it off.

241 

242#### Locations

243 

244- Linux/macOS (Unix): `/etc/codex/requirements.toml`

245- macOS MDM: preference domain `com.openai.codex`, key `requirements_toml_base64`

246 

247#### Cloud requirements (Business and Enterprise)

248 

249When you sign in with ChatGPT on a Business or Enterprise plan, Codex can also

250fetch admin-enforced requirements from the Codex service. This applies across

251Codex surfaces, including the TUI, `codex exec`, and `codex app-server`.

252 

253Cloud requirements are currently best-effort. If the fetch fails or times out,

254Codex continues without the cloud layer.

255 

256Requirements layer in this order (higher wins):

257 

258- macOS managed preferences (MDM; highest precedence)

259- Cloud requirements (ChatGPT Business or Enterprise)

260- `/etc/codex/requirements.toml`

261 

262Cloud requirements only fill unset requirement fields, so higher-precedence

263managed layers still win when both specify the same constraint.

264 

265For backwards compatibility, Codex also interprets legacy `managed_config.toml` fields `approval_policy` and `sandbox_mode` as requirements (allowing only that single value).

266 

267#### Example requirements.toml

268 

269This example blocks `--ask-for-approval never` and `--sandbox danger-full-access` (including `--yolo`):

270 

271```

272allowed_approval_policies = ["untrusted", "on-request"]

273allowed_sandbox_modes = ["read-only", "workspace-write"]

274```

275 

276You can also constrain web search mode:

277 

278```

279allowed_web_search_modes = ["cached"] # "disabled" remains implicitly allowed

280```

281 

282`allowed_web_search_modes = []` effectively allows only `"disabled"`.

283For example, `allowed_web_search_modes = ["cached"]` prevents live web search even in `danger-full-access` sessions.

284 

285#### Enforce command rules from requirements

286 

287Admins can also enforce restrictive command rules from `requirements.toml`

288using a `[rules]` table. These rules merge with regular `.rules` files, and the

289most restrictive decision still wins.

290 

291Unlike `.rules`, requirements rules must specify `decision`, and that decision

292must be `"prompt"` or `"forbidden"` (not `"allow"`).

293 

294```

295[rules]

296prefix_rules = [

297 { pattern = [{ token = "rm" }], decision = "forbidden", justification = "Use git clean -fd instead." },

298 { pattern = [{ token = "git" }, { any_of = ["push", "commit"] }], decision = "prompt", justification = "Require review before mutating history." },

299]

300```

301 

302To restrict which MCP servers Codex can enable, add an `mcp_servers` approved list. For stdio servers, match on `command`; for streamable HTTP servers, match on `url`:

303 

304```

305[mcp_servers.docs]

306identity = { command = "codex-mcp" }

307 

308[mcp_servers.remote]

309identity = { url = "https://example.com/mcp" }

310```

311 

312If `mcp_servers` is present but empty, Codex disables all MCP servers.

313 

314### Managed defaults (managed\_config.toml)

315 

316Managed defaults merge on top of a user’s local `config.toml` and take precedence over any CLI `--config` overrides, setting the starting values when Codex launches. Users can still change those settings during a session; Codex reapplies managed defaults the next time it starts.

317 

318Make sure your managed defaults meet your requirements; Codex rejects disallowed values.

319 

320#### Precedence and layering

321 

322Codex assembles the effective configuration in this order (top overrides bottom):

323 

324- Managed preferences (macOS MDM; highest precedence)

325- `managed_config.toml` (system/managed file)

326- `config.toml` (user’s base configuration)

327 

328CLI `--config key=value` overrides apply to the base, but managed layers override them. This means each run starts from the managed defaults even if you provide local flags.

329 

330Cloud requirements affect the requirements layer (not managed defaults). See

331[Admin-enforced requirements](https://developers.openai.com/codex/security#admin-enforced-requirements-requirementstoml)

332for their precedence.

333 

334#### Locations

335 

336- Linux/macOS (Unix): `/etc/codex/managed_config.toml`

337- Windows/non-Unix: `~/.codex/managed_config.toml`

338 

339If the file is missing, Codex skips the managed layer.

340 

341#### macOS managed preferences (MDM)

342 

343On macOS, admins can push a device profile that provides base64-encoded TOML payloads at:

344 

345- Preference domain: `com.openai.codex`

346- Keys:

347 - `config_toml_base64` (managed defaults)

348 - `requirements_toml_base64` (requirements)

349 

350Codex parses these “managed preferences” payloads as TOML and applies them with the highest precedence.

351 

352### MDM setup workflow

353 

354Codex honors standard macOS MDM payloads, so you can distribute settings with tooling like `Jamf Pro`, `Fleet`, or `Kandji`. A lightweight deployment looks like:

355 

3561. Build the managed payload TOML and encode it with `base64` (no wrapping).

3572. Drop the string into your MDM profile under the `com.openai.codex` domain at `config_toml_base64` (managed defaults) or `requirements_toml_base64` (requirements).

3583. Push the profile, then ask users to restart Codex and confirm the startup config summary reflects the managed values.

3594. When revoking or changing policy, update the managed payload; the CLI reads the refreshed preference the next time it launches.

360 

361Avoid embedding secrets or high-churn dynamic values in the payload. Treat the managed TOML like any other MDM setting under change control.

362 

363### Example managed\_config.toml

364 

365```

366# Set conservative defaults

367approval_policy = "on-request"

368sandbox_mode = "workspace-write"

369 

370[sandbox_workspace_write]

371network_access = false # keep network disabled unless explicitly allowed

372 

373[otel]

374environment = "prod"

375exporter = "otlp-http" # point at your collector

376log_user_prompt = false # keep prompts redacted

377# exporter details live under exporter tables; see Monitoring and telemetry above

378```

379 

380### Recommended guardrails

381 

382- Prefer `workspace-write` with approvals for most users; reserve full access for controlled containers.

383- Keep `network_access = false` unless your security review allows a collector or domains required by your workflows.

384- Use managed configuration to pin OTel settings (exporter, environment), but keep `log_user_prompt = false` unless your policy explicitly allows storing prompt contents.

385- Periodically audit diffs between local `config.toml` and managed policy to catch drift; managed layers should win over local flags and files.

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1# Agent Skills1# Agent Skills

2 2 

3Give Codex new capabilities and expertise

4 

5Use agent skills to extend Codex with task-specific capabilities. A skill packages instructions, resources, and optional scripts so Codex can follow a workflow reliably. You can share skills across teams or with the community. Skills build on the [open agent skills standard](https://agentskills.io).3Use agent skills to extend Codex with task-specific capabilities. A skill packages instructions, resources, and optional scripts so Codex can follow a workflow reliably. You can share skills across teams or with the community. Skills build on the [open agent skills standard](https://agentskills.io).

6 4 

7Skills are available in the Codex CLI, IDE extension, and Codex app.5Skills are available in the Codex CLI, IDE extension, and Codex app.

videos.md +0 −2

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1# Videos1# Videos

2 

3Learn how to use Codex with demos, walkthroughs, and talks

windows.md +28 −25

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1# Windows1# Windows

2 2 

3Tips for running Codex on Windows

4 

5The easiest way to use Codex on Windows is to [set up the IDE extension](https://developers.openai.com/codex/ide) or [install the CLI](https://developers.openai.com/codex/cli) and run it from PowerShell.3The easiest way to use Codex on Windows is to [set up the IDE extension](https://developers.openai.com/codex/ide) or [install the CLI](https://developers.openai.com/codex/cli) and run it from PowerShell.

6 4 

7When you run Codex natively on Windows, the agent mode uses an experimental Windows sandbox to block filesystem writes outside the working folder and prevent network access without your explicit approval. [Learn more below](#windows-experimental-sandbox).5When you run Codex natively on Windows, agent mode uses a [Windows sandbox](#windows-sandbox) to block filesystem writes outside the working folder and prevent network access without your explicit approval. [Learn more below](#windows-sandbox).

6 

7If you prefer to have Codex use [Windows Subsystem for Linux](https://learn.microsoft.com/en-us/windows/wsl/install) (WSL2), [read the instructions](#windows-subsystem-for-linux) below.

8 

9## Windows sandbox

10 

11Native Windows sandbox support includes two modes that you can configure in `config.toml`:

12 

13```

14[windows]

15sandbox = "unelevated" # or "elevated"

16```

17 

18How `elevated` mode works:

19 

20- Uses a Restricted Token approach with filesystem ACLs to limit which files the sandbox can write to.

21- Runs commands as a dedicated Windows Sandbox User.

22- Limits network access by installing Windows Firewall rules.

23 

24### Grant sandbox read access

25 

26When a command fails because the Windows sandbox can't read a directory, use:

27 

28```text

29/sandbox-add-read-dir C:\absolute\directory\path

30```

8 31 

9Instead, you can use [Windows Subsystem for Linux](https://learn.microsoft.com/en-us/windows/wsl/install) (WSL2). WSL2 gives you a Linux shell, Unix-style semantics, and tooling that match many tasks that models see in training.32The path must be an existing absolute directory. After the command succeeds, later commands that run in the sandbox can read that directory during the current session.

10 33 

11## Windows Subsystem for Linux34## Windows Subsystem for Linux

12 35 


83 ```106 ```

84- If you need Windows access to files, they’re under `\wsl$\Ubuntu\home&lt;user>` in Explorer.107- If you need Windows access to files, they’re under `\wsl$\Ubuntu\home&lt;user>` in Explorer.

85 108 

86## Windows experimental sandbox109## Troubleshooting and FAQ

87 

88The Windows sandbox support is experimental. How it works:

89 

90- Launches commands inside a restricted token derived from an AppContainer profile.

91- Grants only specifically requested filesystem capabilities by attaching capability security identifiers to that profile.

92- Disables outbound network access by overriding proxy-related environment variables and inserting stub executables for common network tools.

93 

94Its primary limitation is that it can’t prevent file writes, deletions, or creations in any directory where the Everyone SID already has write permissions (for example, world-writable folders). When using the Windows sandbox, Codex scans for folders where Everyone has write access and recommends that you remove that access.

95 

96### Grant sandbox read access

97 

98When a command fails because the Windows sandbox can't read a directory, use:

99 

100```text

101/sandbox-add-read-dir C:\absolute\directory\path

102```

103 

104The path must be an existing absolute directory. After the command succeeds, later commands that run in the sandbox can read that directory during the current session.

105 

106### Troubleshooting and FAQ

107 110 

108#### Installed extension, but it’s unresponsive111#### Installed extension, but it’s unresponsive

109 112 

workflows.md +0 −2

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1# Workflows1# Workflows

2 2 

3Development usage patterns with Codex

4 

5Codex works best when you treat it like a teammate with explicit context and a clear definition of "done."3Codex works best when you treat it like a teammate with explicit context and a clear definition of "done."

6This page gives end-to-end workflow examples for the Codex IDE extension, the Codex CLI, and Codex cloud.4This page gives end-to-end workflow examples for the Codex IDE extension, the Codex CLI, and Codex cloud.

7 5