Run Codex from a GitHub Actions workflow while keeping tight control over the privileges available to Codex. This action handles installing the Codex CLI and configuring it with a secure proxy to the Responses API.
Users must provide an API key for their chosen provider (for example, OPENAI_API_KEY or AZURE_OPENAI_API_KEY if using Azure for OpenAI models) as a GitHub Actions secret to use this action.
While Codex cloud offers a powerful code review tool that you can use today, here is an example of how you can build your own code review workflow with openai/codex-action if you want to have more control over the experience.
In the following example, we define a workflow that is triggered whenever a user creates a pull request that:
- Creates a shallow clone of the repo.
- Ensures the
baseandheadrefs for the PR are available locally. - Runs Codex with a
promptthat includes the details specific to the PR. - Takes the output from Codex and posts it as a comment on the PR.
See security.md for tips on using openai/codex-action securely and the
Codex permissions documentation for configuring
filesystem and network access.
name: Perform a code review when a pull request is created.
on:
pull_request:
types: [opened]
jobs:
codex:
runs-on: ubuntu-latest
permissions:
contents: read
outputs:
final_message: ${{ steps.run_codex.outputs.final-message }}
steps:
- uses: actions/checkout@v5
with:
# Explicitly check out the PR's merge commit.
ref: refs/pull/${{ github.event.pull_request.number }}/merge
persist-credentials: false
- name: Pre-fetch base and head refs for the PR
env:
PR_BASE_REF: ${{ github.event.pull_request.base.ref }}
PR_NUMBER: ${{ github.event.pull_request.number }}
run: |
# Pass GitHub expressions through env and quote shell expansions.
git fetch --no-tags origin \
"$PR_BASE_REF" \
"+refs/pull/$PR_NUMBER/head"
# If you want Codex to build and run code, install any dependencies that
# need to be downloaded before the "Run Codex" step. The recommended
# :workspace permission profile does not grant network access.
- name: Run Codex
id: run_codex
uses: openai/codex-action@v1
with:
openai-api-key: ${{ secrets.OPENAI_API_KEY }}
permission-profile: ":workspace"
prompt: |
This is PR #${{ github.event.pull_request.number }} for ${{ github.repository }}.
Review ONLY the changes introduced by the PR, so consider:
git log --oneline ${{ github.event.pull_request.base.sha }}...${{ github.event.pull_request.head.sha }}
Suggest any improvements, potential bugs, or issues.
Be concise and specific in your feedback.
Pull request title and body:
----
${{ github.event.pull_request.title }}
${{ github.event.pull_request.body }}
post_feedback:
runs-on: ubuntu-latest
needs: codex
if: needs.codex.outputs.final_message != ''
permissions:
issues: write
pull-requests: write
steps:
- name: Report Codex feedback
uses: actions/github-script@v7
env:
CODEX_FINAL_MESSAGE: ${{ needs.codex.outputs.final_message }}
with:
github-token: ${{ github.token }}
script: |
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.pull_request.number,
body: process.env.CODEX_FINAL_MESSAGE,
});| Name | Description | Default |
|---|---|---|
openai-api-key |
Secret used to start the Responses API proxy when you are using OpenAI (default). Store it in secrets. |
"" |
responses-api-endpoint |
Optional Responses API endpoint override, e.g. https://example.openai.azure.com/openai/v1/responses. Leave empty to use the proxy's default. |
"" |
prompt |
Inline prompt text. Provide this or prompt-file. |
"" |
prompt-file |
Path (relative to the repository root) of a file that contains the prompt. Provide this or prompt. |
"" |
output-file |
File where the final Codex message is written. Leave empty to skip writing a file. | "" |
working-directory |
Directory passed to codex exec --cd. Defaults to the repository root. |
"" |
sandbox |
Legacy sandbox mode. Prefer permission-profile: ":workspace" for new workflows. Mutually exclusive with permission-profile. |
"" |
permission-profile |
Built-in or configured Codex permission profile selected through default_permissions. |
"" |
codex-version |
Version of @openai/codex to install. |
"" |
codex-args |
Extra arguments forwarded to codex exec. Accepts JSON arrays (["--flag", "value"]) or shell-style strings. |
"" |
output-schema |
Inline schema contents written to a temp file and passed to codex exec --output-schema. Mutually exclusive with output-schema-file. |
"" |
output-schema-file |
Schema file forwarded to codex exec --output-schema. Leave empty to skip passing the option. |
"" |
model |
Model the agent should use. Leave empty to let Codex pick its default. | "" |
effort |
Reasoning effort the agent should use. Leave empty to let Codex pick its default. | "" |
codex-home |
Directory to use as the Codex CLI home (config/cache). Uses the CLI default when empty. | "" |
safety-strategy |
Controls how the action restricts Codex privileges. See Safety strategy. | drop-sudo |
codex-user |
Username to run Codex as when safety-strategy is unprivileged-user. |
"" |
allow-users |
List of GitHub usernames who can trigger the action in addition to those who have write access to the repo. | "" |
allow-bots |
Allow runs triggered by trusted GitHub bot accounts (github-actions[bot]) to bypass the write-access check. |
false |
allow-bot-users |
List of GitHub bot usernames that can bypass the write-access check. * is not supported; list trusted bots explicitly. |
"" |
Codex permission profiles independently describe filesystem and network access. For workflows that
need to edit the checked-out repository, prefer permission-profile: ":workspace" over relying on
the action's legacy workspace-write fallback. Use :read-only for read-only workflows, or select a
named profile defined in the config.toml under codex-home when the workflow needs a more specific
policy. See the
Codex permissions documentation for the profile
schema and enforcement details. Permission profiles are beta and require Codex CLI 0.138.0 or
later; do not select one while pinning an older codex-version.
The action does not pass --sandbox when permission-profile is set because the profile and legacy
sandbox systems do not compose. Supplying both inputs fails before Codex starts. The
safety-strategy: read-only option also forces the legacy read-only sandbox and therefore cannot be
combined with a permission profile. Keep safety-strategy: drop-sudo or use a deliberately
configured unprivileged user when selecting a profile.
For backward compatibility, omitting both permission-profile and sandbox still runs Codex with
the legacy workspace-write sandbox. Existing callers that set sandbox continue to use the legacy
model. Existing codex-args such as --search, --ephemeral, --model, benign -c overrides
(including model_reasoning_effort and service_tier), and --enable use_legacy_landlock remain
supported. Protected runs reject overrides that change permissions, trust, model providers, or
command execution; alternate configuration profiles; additional writable directories; and conflicting
hook or sandbox bypasses. --full-auto cannot be combined with a permission profile or an effective
read-only sandbox. Image attachments and overrides loading local instruction, compaction, or catalog
files remain supported except with custom named permission profiles, where unsandboxed reads could
bypass scoped filesystem access. Explicitly unsafe, unrestricted runs retain argument pass-through.
Treat codex-home/config.toml and named profile definitions as trusted workflow configuration.
They are not sanitized by codex-args validation and must not come from an untrusted checkout.
For example, use the built-in :workspace profile for a workflow that needs to modify the checkout:
- name: Run Codex with a permission profile
uses: openai/codex-action@v1
with:
openai-api-key: ${{ secrets.OPENAI_API_KEY }}
permission-profile: ":workspace"
prompt: Review the public change.The safety-strategy input determines how much access Codex receives on the runner. Choosing the right option is critical, especially when sensitive secrets (like your OpenAI API key) are present.
See Protecting your OPENAI_API_KEY on the Security page for important details on this topic.
drop-sudo(default) — On Linux and macOS runners, the action revokes the default user’ssudoaccess before invoking Codex. On Linux, it also removes access to existing root-owned service sockets under/runthat the runner can write, including the Docker daemon. Codex starts withno_new_privs, no supplementary groups, and empty bounding, permitted, effective, inheritable, and ambient capability sets in the host user namespace. Descendants inheritno_new_privs; they can gain capabilities inside a new user namespace, but those do not grant host privileges. The account and socket mutations can outlive a job on reused self-hosted runners; use this strategy on disposable runners and run the action as the last step in a job.unprivileged-user— Runs Codex as the user provided viacodex-user. Use this if you manage your own runner with a pre-created unprivileged account. Ensure the user can read the repository checkout and any files Codex needs. Seeunprivileged-user.ymlfor an example of how to configure such an account onubuntu-latest.read-only— Executes Codex in a read-only sandbox. Codex can view files but cannot mutate the filesystem or access the network directly. The OpenAI API key still flows through the proxy, so Codex could read it if it can reach process memory.unsafe— No privilege reduction. Codex runs as the defaultrunneruser (which typically hassudo). Only use this when you fully trust the prompt. On Windows runners this is the only supported choice and the action will fail if another option is provided.
- Windows: GitHub-hosted Windows runners lack a supported sandbox. Set
safety-strategy: unsafe. The action validates this and exits early otherwise. - Linux/macOS: All options for
safety-strategyare supported. Linuxdrop-sudorequires passwordlesssudoand/usr/bin/setprivbefore Codex starts. Any mode that uses bubblewrap, including the defaultworkspace-writesandbox and built-in:workspace/:read-onlyprofiles, also requires working unprivileged user namespaces; setuid-only bubblewrap installations are unsupported becauseno_new_privsis enforced for every Linuxdrop-sudoCodex launch. Sandbox-backend startup errors occur after the irreversible account and socket cleanup, so validate self-hosted runner configurations on disposable hosts. Running the action again with a prompt aftersudohas already been removed fails instead of running without these protections. Run subsequent work requiring elevated privileges in a freshjobon a new host. - GitHub-hosted Linux runners: The action enables unprivileged user namespaces during setup and clears Ubuntu's AppArmor gate when present. This avoids the
bwrap: loopback: Failed RTM_NEWADDR: Operation not permittedfailure seen on newer hosted images. Self-hosted Linux runners must enable unprivileged user namespaces, allow a sufficientuser.max_user_namespaces, and configure AppArmor or SELinux to permit them before using bubblewrap-backeddrop-sudomodes.
| Name | Description |
|---|---|
final-message |
Final message returned by codex exec. |
As we saw in the example above, we took the final-message output of the run_codex step and made it an output of the codex job in the workflow:
jobs:
codex:
# ...
outputs:
final_message: ${{ steps.run_codex.outputs.final-message }}- Run this action after
actions/checkout@v5so Codex has access to your repository contents. - To use a non-default Responses endpoint (for example Azure OpenAI), set
responses-api-endpointto the provider's URL while keepingopenai-api-keypopulated; the proxy will still sendAuthorization: Bearer <key>upstream. - If you want Codex to have access to a narrow set of privileged functionality, consider running a local MCP server that can perform these actions and configure Codex to use it.
- If you need more control over the CLI invocation, pass supported flags through
codex-argsor create a trustedconfig.tomlincodex-home. Prefer a permission profile, starting with:workspacefor workspace editing, over legacy sandbox flags for new integrations. - Calling
codexdirectly from later scripts does not receive the action'sno_new_privs, capability, or supplementary-group protections. Providepromptorprompt-fileto run Codex through the action; on Linux, use a new job ifdrop-sudohas already been applied.
To configure the Action to use OpenAI models hosted on Azure, pay close attention to the following:
- The
responses-api-endpointmust be set to the full URL (including any required query parameters) that Codex willPOSTto for a Responses API request. For Azure, this might look likehttps://YOUR_PROJECT_NAME.openai.azure.com/openai/v1/responses. Note that unlike when customizing a model provider in Codex, you must include thev1/responsessuffix to the URL yourself, if appropriate. - The
openai-api-keyinput must be a valid key that can be used with theAuthorization: Bearer <KEY>header when making aPOSTrequest to your Responses API endpoint. (This is also true for the value of theenv_keywhen setting a custom provider using the Codex CLI.)
Ultimately, your configured Action might look something like the following:
- name: Start Codex proxy
uses: openai/codex-action@v1
with:
openai-api-key: ${{ secrets.AZURE_OPENAI_API_KEY }}
responses-api-endpoint: "https://bolinfest-7804-resource.cognitiveservices.azure.com/openai/v1/responses"
prompt: "Debug all the things."See the CHANGELOG for details.
This project is licensed under the Apache License 2.0.