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agent-approvals-security.md +261 −0 added

Details

1# Agent approvals & security

2 

3Codex helps protect your code and data and reduces the risk of misuse.

4 

5This page covers how to operate Codex safely, including sandboxing, approvals,

6 and network access. If you are looking for Codex Security, the product for

7 scanning connected GitHub repositories, see [Codex Security](https://developers.openai.com/codex/security).

8 

9By 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.

10 

11For a high-level explanation of how sandboxing works across the Codex app, IDE

12extension, and CLI, see [Sandboxing](https://developers.openai.com/codex/concepts/sandboxing).

13For a broader enterprise security overview, see the [Codex security white paper](https://trust.openai.com/?itemUid=382f924d-54f3-43a8-a9df-c39e6c959958&source=click).

14 

15## Sandbox and approvals

16 

17Codex security controls come from two layers that work together:

18 

19- **Sandbox mode**: What Codex can do technically (for example, where it can write and whether it can reach the network) when it executes model-generated commands.

20- **Approval policy**: When Codex must ask you before it executes an action (for example, leaving the sandbox, using the network, or running commands outside a trusted set).

21 

22Codex uses different sandbox modes depending on where you run it:

23 

24- **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.

25- **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.

26 

27In the `Auto` preset (for example, `--full-auto`), Codex can read files, make edits, and run commands in the working directory automatically.

28 

29Codex 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.

30 

31Codex 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).

32 

33## Network access [Elevated Risk](https://help.openai.com/articles/20001061)

34 

35For Codex cloud, see [agent internet access](https://developers.openai.com/codex/cloud/internet-access) to enable full internet access or a domain allow list.

36 

37For the Codex app, CLI, or IDE Extension, the default `workspace-write` sandbox mode keeps network access turned off unless you enable it in your configuration:

38 

39```toml

40[sandbox_workspace_write]

41network_access = true

42```

43 

44You can also control the [web search tool](https://platform.openai.com/docs/guides/tools-web-search) without granting full network access to spawned commands. Codex defaults to using a web search cache to access results. 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](#common-sandbox-and-approval-combinations), web search defaults to live results. Use `--search` or set `web_search = "live"` to allow live browsing, or set it to `"disabled"` to turn the tool off:

45 

46```toml

47web_search = "cached" # default

48# web_search = "disabled"

49# web_search = "live" # same as --search

50```

51 

52Use caution when enabling network access or web search in Codex. Prompt injection can cause the agent to fetch and follow untrusted instructions.

53 

54## Defaults and recommendations

55 

56- On launch, Codex detects whether the folder is version-controlled and recommends:

57 - Version-controlled folders: `Auto` (workspace write + on-request approvals)

58 - Non-version-controlled folders: `read-only`

59- Depending on your setup, Codex may also start in `read-only` until you explicitly trust the working directory (for example, via an onboarding prompt or `/permissions`).

60- The workspace includes the current directory and temporary directories like `/tmp`. Use the `/status` command to see which directories are in the workspace.

61- To accept the defaults, run `codex`.

62- You can set these explicitly:

63 - `codex --sandbox workspace-write --ask-for-approval on-request`

64 - `codex --sandbox read-only --ask-for-approval on-request`

65 

66### Protected paths in writable roots

67 

68In the default `workspace-write` sandbox policy, writable roots still include protected paths:

69 

70- `<writable_root>/.git` is protected as read-only whether it appears as a directory or file.

71- If `<writable_root>/.git` is a pointer file (`gitdir: ...`), the resolved Git directory path is also protected as read-only.

72- `<writable_root>/.agents` is protected as read-only when it exists as a directory.

73- `<writable_root>/.codex` is protected as read-only when it exists as a directory.

74- Protection is recursive, so everything under those paths is read-only.

75 

76### Run without approval prompts

77 

78You can disable approval prompts with `--ask-for-approval never` or `-a never` (shorthand).

79 

80This option works with all `--sandbox` modes, so you still control Codex's level of autonomy. Codex makes a best effort within the constraints you set.

81 

82If 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.

83 

84For a middle ground, `approval_policy = { granular = { ... } }` lets you keep specific approval prompt categories interactive while automatically rejecting others. The granular policy covers sandbox approvals, execpolicy-rule prompts, MCP elicitations, `request_permissions` prompts, and skill-script approvals.

85 

86### Common sandbox and approval combinations

87 

88| Intent | Flags | Effect |

89| ----------------------------------------------------------------- | ------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------ |

90| Auto (preset) | *no flags needed* or `--full-auto` | Codex can read files, make edits, and run commands in the workspace. Codex requires approval to edit outside the workspace or to access network. |

91| Safe read-only browsing | `--sandbox read-only --ask-for-approval on-request` | Codex can read files and answer questions. Codex requires approval to make edits, run commands, or access network. |

92| Read-only non-interactive (CI) | `--sandbox read-only --ask-for-approval never` | Codex can only read files; never asks for approval. |

93| Automatically edit but ask for approval to run untrusted commands | `--sandbox workspace-write --ask-for-approval untrusted` | Codex can read and edit files but asks for approval before running untrusted commands. |

94| Dangerous full access | `--dangerously-bypass-approvals-and-sandbox` (alias: `--yolo`) | [Elevated Risk](https://help.openai.com/articles/20001061) No sandbox; no approvals *(not recommended)* |

95 

96`--full-auto` is a convenience alias for `--sandbox workspace-write --ask-for-approval on-request`.

97 

98With `--ask-for-approval untrusted`, Codex runs only known-safe read operations automatically. Commands that can mutate state or trigger external execution paths (for example, destructive Git operations or Git output/config-override flags) require approval.

99 

100#### Configuration in `config.toml`

101 

102For 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).

103 

104```toml

105# Always ask for approval mode

106approval_policy = "untrusted"

107sandbox_mode = "read-only"

108allow_login_shell = false # optional hardening: disallow login shells for shell-based tools

109 

110# Optional: Allow network in workspace-write mode

111[sandbox_workspace_write]

112network_access = true

113 

114# Optional: granular approval policy

115# approval_policy = { granular = {

116# sandbox_approval = true,

117# rules = true,

118# mcp_elicitations = true,

119# request_permissions = false,

120# skill_approval = false

121# } }

122```

123 

124You can also save presets as profiles, then select them with `codex --profile <name>`:

125 

126```toml

127[profiles.full_auto]

128approval_policy = "on-request"

129sandbox_mode = "workspace-write"

130 

131[profiles.readonly_quiet]

132approval_policy = "never"

133sandbox_mode = "read-only"

134```

135 

136### Test the sandbox locally

137 

138To see what happens when a command runs under the Codex sandbox, use these Codex CLI commands:

139 

140```bash

141# macOS

142codex sandbox macos [--full-auto] [--log-denials] [COMMAND]...

143# Linux

144codex sandbox linux [--full-auto] [COMMAND]...

145```

146 

147The `sandbox` command is also available as `codex debug`, and the platform helpers have aliases (for example `codex sandbox seatbelt` and `codex sandbox landlock`).

148 

149## OS-level sandbox

150 

151Codex enforces the sandbox differently depending on your OS:

152 

153- **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.

154- **Linux** uses the bubblewrap pipeline plus `seccomp` by default. `use_legacy_landlock` is available when you need the older path. In managed proxy mode, the default bubblewrap pipeline routes egress through a proxy-only bridge and fails closed if it cannot build valid loopback proxy routes.

155- **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.

156 

157If 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:

158 

159```json

160{

161 "chatgpt.runCodexInWindowsSubsystemForLinux": true

162}

163```

164 

165This 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).

166 

167When running natively on Windows, configure the native sandbox mode in `config.toml`:

168 

169```toml

170[windows]

171sandbox = "unelevated" # or "elevated"

172# sandbox_private_desktop = true # default; set false only for compatibility

173```

174 

175See the [Windows setup guide](https://developers.openai.com/codex/windows#windows-sandbox) for details.

176 

177When 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.

178 

179In that case, configure your Docker container to provide the isolation you need, then run `codex` with `--sandbox danger-full-access` (or the `--dangerously-bypass-approvals-and-sandbox` flag) inside the container.

180 

181## Version control

182 

183Codex works best with a version control workflow:

184 

185- Work on a feature branch and keep `git status` clean before delegating. This keeps Codex patches easier to isolate and revert.

186- Prefer patch-based workflows (for example, `git diff`/`git apply`) over editing tracked files directly. Commit frequently so you can roll back in small increments.

187- Treat Codex suggestions like any other PR: run targeted verification, review diffs, and document decisions in commit messages for auditing.

188 

189## Monitoring and telemetry

190 

191Codex supports opt-in monitoring via OpenTelemetry (OTel) to help teams audit usage, investigate issues, and meet compliance requirements without weakening local security defaults. Telemetry is off by default; enable it explicitly in your configuration.

192 

193### Overview

194 

195- Codex turns off OTel export by default to keep local runs self-contained.

196- When enabled, Codex emits structured log events covering conversations, API requests, SSE/WebSocket stream activity, user prompts (redacted by default), tool approval decisions, and tool results.

197- Codex tags exported events with `service.name` (originator), CLI version, and an environment label to separate dev/staging/prod traffic.

198 

199### Enable OTel (opt-in)

200 

201Add an `[otel]` block to your Codex configuration (typically `~/.codex/config.toml`), choosing an exporter and whether to log prompt text.

202 

203```toml

204[otel]

205environment = "staging" # dev | staging | prod

206exporter = "none" # none | otlp-http | otlp-grpc

207log_user_prompt = false # redact prompt text unless policy allows

208```

209 

210- `exporter = "none"` leaves instrumentation active but doesn't send data anywhere.

211- To send events to your own collector, pick one of:

212 

213```toml

214[otel]

215exporter = { otlp-http = {

216 endpoint = "https://otel.example.com/v1/logs",

217 protocol = "binary",

218 headers = { "x-otlp-api-key" = "${OTLP_TOKEN}" }

219}}

220```

221 

222```toml

223[otel]

224exporter = { otlp-grpc = {

225 endpoint = "https://otel.example.com:4317",

226 headers = { "x-otlp-meta" = "abc123" }

227}}

228```

229 

230Codex batches events and flushes them on shutdown. Codex exports only telemetry produced by its OTel module.

231 

232### Event categories

233 

234Representative event types include:

235 

236- `codex.conversation_starts` (model, reasoning settings, sandbox/approval policy)

237- `codex.api_request` (attempt, status/success, duration, and error details)

238- `codex.sse_event` (stream event kind, success/failure, duration, plus token counts on `response.completed`)

239- `codex.websocket_request` and `codex.websocket_event` (request duration plus per-message kind/success/error)

240- `codex.user_prompt` (length; content redacted unless explicitly enabled)

241- `codex.tool_decision` (approved/denied, source: configuration vs. user)

242- `codex.tool_result` (duration, success, output snippet)

243 

244Associated OTel metrics (counter plus duration histogram pairs) include `codex.api_request`, `codex.sse_event`, `codex.websocket.request`, `codex.websocket.event`, and `codex.tool.call` (with corresponding `.duration_ms` instruments).

245 

246For the full event catalog and configuration reference, see the [Codex configuration documentation on GitHub](https://github.com/openai/codex/blob/main/docs/config.md#otel).

247 

248### Security and privacy guidance

249 

250- Keep `log_user_prompt = false` unless policy explicitly permits storing prompt contents. Prompts can include source code and sensitive data.

251- Route telemetry only to collectors you control; apply retention limits and access controls aligned with your compliance requirements.

252- Treat tool arguments and outputs as sensitive. Favor redaction at the collector or SIEM when possible.

253- Review local data retention settings (for example, `history.persistence` / `history.max_bytes`) if you don't want Codex to save session transcripts under `CODEX_HOME`. See [Advanced Config](https://developers.openai.com/codex/config-advanced#history-persistence) and [Configuration Reference](https://developers.openai.com/codex/config-reference).

254- If you run the CLI with network access turned off, OTel export can't reach your collector. To export, allow network access in `workspace-write` mode for the OTel endpoint, or export from Codex cloud with the collector domain on your approved list.

255- Review events periodically for approval/sandbox changes and unexpected tool executions.

256 

257OTel is optional and designed to complement, not replace, the sandbox and approval protections described above.

258 

259## Managed configuration

260 

261Enterprise 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.