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app/features.md +1 −1

Details

250 250 

251You can ask in natural language or explicitly invoke the image generation skill by including `$imagegen` in your prompt.251You can ask in natural language or explicitly invoke the image generation skill by including `$imagegen` in your prompt.

252 252 

253Built-in image generation uses `gpt-image-1.5`, counts toward your general Codex usage limits, and uses included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. For details, see [Pricing](https://developers.openai.com/codex/pricing#image-generation-usage-limits). For prompting tips and model details, see the [image generation guide](https://developers.openai.com/api/docs/guides/image-generation).253Built-in image generation uses `gpt-image-2`, counts toward your general Codex usage limits, and uses included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. For details, see [Pricing](https://developers.openai.com/codex/pricing#image-generation-usage-limits). For prompting tips and model details, see the [image generation guide](https://developers.openai.com/api/docs/guides/image-generation).

254 254 

255For larger batches of image generation, set `OPENAI_API_KEY` in your environment variables and ask Codex to generate images through the API so API pricing applies instead.255For larger batches of image generation, set `OPENAI_API_KEY` in your environment variables and ask Codex to generate images through the API so API pricing applies instead.

256 256 

cli/features.md +1 −1

Details

162 162 

163You can ask in natural language or explicitly invoke the image generation skill by including `$imagegen` in your prompt.163You can ask in natural language or explicitly invoke the image generation skill by including `$imagegen` in your prompt.

164 164 

165Built-in image generation uses `gpt-image-1.5`, counts toward your general Codex usage limits, and uses included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. For details, see [Pricing](https://developers.openai.com/codex/pricing#image-generation-usage-limits). For prompting tips and model details, see the [image generation guide](https://developers.openai.com/api/docs/guides/image-generation).165Built-in image generation uses `gpt-image-2`, counts toward your general Codex usage limits, and uses included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. For details, see [Pricing](https://developers.openai.com/codex/pricing#image-generation-usage-limits). For prompting tips and model details, see the [image generation guide](https://developers.openai.com/api/docs/guides/image-generation).

166 166 

167For larger batches of image generation, set `OPENAI_API_KEY` in your environment variables and ask Codex to generate images through the API so API pricing applies instead.167For larger batches of image generation, set `OPENAI_API_KEY` in your environment variables and ask Codex to generate images through the API so API pricing applies instead.

168 168 

Details

67 67 

68Codex surfaces a startup warning when `bwrap` is missing or when the helper68Codex surfaces a startup warning when `bwrap` is missing or when the helper

69can't create the needed user namespace. On distributions that restrict this69can't create the needed user namespace. On distributions that restrict this

70AppArmor setting, you can enable it with:70AppArmor setting, prefer loading the `bwrap` AppArmor profile so `bwrap` can

71keep working without disabling the restriction globally.

72 

73**Ubuntu AppArmor note:** On Ubuntu 25.04, installing `bubblewrap` from

74 Ubuntu's package repository should work without extra AppArmor setup. The

75 `bwrap-userns-restrict` profile ships in the `apparmor` package at

76 `/etc/apparmor.d/bwrap-userns-restrict`.

77 

78On Ubuntu 24.04, Codex may still warn that it can't create the needed user

79namespace after `bubblewrap` is installed. Copy and load the extra profile:

80 

81```bash

82sudo apt update

83sudo apt install apparmor-profiles apparmor-utils

84sudo install -m 0644 \

85 /usr/share/apparmor/extra-profiles/bwrap-userns-restrict \

86 /etc/apparmor.d/bwrap-userns-restrict

87sudo apparmor_parser -r /etc/apparmor.d/bwrap-userns-restrict

88```

89 

90`apparmor_parser -r` loads the profile into the kernel without a reboot. You

91can also reload all AppArmor profiles:

92 

93```bash

94sudo systemctl reload apparmor.service

95```

96 

97If that profile is unavailable or does not resolve the issue, you can disable

98the AppArmor unprivileged user namespace restriction with:

71 99 

72```bash100```bash

73sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0101sudo sysctl -w kernel.apparmor_restrict_unprivileged_userns=0

Details

19 19 

201. Cloud-managed requirements (ChatGPT Business or Enterprise)201. Cloud-managed requirements (ChatGPT Business or Enterprise)

212. macOS managed preferences (MDM) via `com.openai.codex:requirements_toml_base64`212. macOS managed preferences (MDM) via `com.openai.codex:requirements_toml_base64`

223. System `requirements.toml` (`/etc/codex/requirements.toml` on Unix systems, including Linux/macOS)223. System `requirements.toml` (`/etc/codex/requirements.toml` on Unix systems, including Linux/macOS, or `%ProgramData%\OpenAI\Codex\requirements.toml` on Windows)

23 23 

24Across layers, Codex merges requirements per field: if an earlier layer sets a field (including an empty list), later layers don't override that field, but lower layers can still fill fields that remain unset.24Across layers, Codex merges requirements per field: if an earlier layer sets a field (including an empty list), later layers don't override that field, but lower layers can still fill fields that remain unset.

25 25 

ide/features.md +1 −1

Details

73 73 

74You can ask in natural language or explicitly invoke the image generation skill by including `$imagegen` in your prompt.74You can ask in natural language or explicitly invoke the image generation skill by including `$imagegen` in your prompt.

75 75 

76Built-in image generation uses `gpt-image-1.5`, counts toward your general Codex usage limits, and uses included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. For details, see [Pricing](https://developers.openai.com/codex/pricing#image-generation-usage-limits). For prompting tips and model details, see the [image generation guide](https://developers.openai.com/api/docs/guides/image-generation).76Built-in image generation uses `gpt-image-2`, counts toward your general Codex usage limits, and uses included limits 3-5x faster on average than similar turns without image generation, depending on image quality and size. For details, see [Pricing](https://developers.openai.com/codex/pricing#image-generation-usage-limits). For prompting tips and model details, see the [image generation guide](https://developers.openai.com/api/docs/guides/image-generation).

77 77 

78For larger batches of image generation, set `OPENAI_API_KEY` in your environment variables and ask Codex to generate images through the API so API pricing applies instead.78For larger batches of image generation, set `OPENAI_API_KEY` in your environment variables and ask Codex to generate images through the API so API pricing applies instead.

79 79