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## Summary I think editors auto-complete to this because of the way the Markdown is structured, but it's not quite right.
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373 lines
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Markdown
---
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title: Using alternative package indexes
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description:
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A guide to using alternative package indexes with uv, including Azure Artifacts, Google Artifact
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Registry, AWS CodeArtifact, and more.
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---
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# Using alternative package indexes
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While uv uses the official Python Package Index (PyPI) by default, it also supports
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[alternative package indexes](../../configuration/indexes.md). Most alternative indexes require
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various forms of authentication, which require some initial setup.
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!!! important
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If using the pip interface, please read the documentation
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on [using multiple indexes](../../pip/compatibility.md#packages-that-exist-on-multiple-indexes)
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in uv — the default behavior is different from pip to prevent dependency confusion attacks, but
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this means that uv may not find the versions of a package as you'd expect.
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## Azure Artifacts
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uv can install packages from
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[Azure Artifacts](https://learn.microsoft.com/en-us/azure/devops/artifacts/start-using-azure-artifacts?view=azure-devops&tabs=nuget%2Cnugetserver),
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either by using a
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[Personal Access Token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows)
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(PAT), or using the [`keyring`](https://github.com/jaraco/keyring) package.
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To use Azure Artifacts, add the index to your project:
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```toml title="pyproject.toml"
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[[tool.uv.index]]
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name = "private-registry"
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url = "https://pkgs.dev.azure.com/<ORGANIZATION>/<PROJECT>/_packaging/<FEED>/pypi/simple/"
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```
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### Authenticate with an Azure access token
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If there is a personal access token (PAT) available (e.g.,
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[`$(System.AccessToken)` in an Azure pipeline](https://learn.microsoft.com/en-us/azure/devops/pipelines/build/variables?view=azure-devops&tabs=yaml#systemaccesstoken)),
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credentials can be provided via "Basic" HTTP authentication scheme. Include the PAT in the password
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field of the URL. A username must be included as well, but can be any string.
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For example, with the token stored in the `$AZURE_ARTIFACTS_TOKEN` environment variable, set
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credentials for the index with:
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```bash
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export UV_INDEX_PRIVATE_REGISTRY_USERNAME=dummy
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export UV_INDEX_PRIVATE_REGISTRY_PASSWORD="$AZURE_ARTIFACTS_TOKEN"
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```
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!!! note
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`PRIVATE_REGISTRY` should match the name of the index defined in your `pyproject.toml`.
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### Authenticate with `keyring` and `artifacts-keyring`
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You can also authenticate to Artifacts using [`keyring`](https://github.com/jaraco/keyring) package
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with the [`artifacts-keyring` plugin](https://github.com/Microsoft/artifacts-keyring). Because these
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two packages are required to authenticate to Azure Artifacts, they must be pre-installed from a
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source other than Artifacts.
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The `artifacts-keyring` plugin wraps the
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[Azure Artifacts Credential Provider tool](https://github.com/microsoft/artifacts-credprovider). The
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credential provider supports a few different authentication modes including interactive login — see
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the [tool's documentation](https://github.com/microsoft/artifacts-credprovider) for information on
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configuration.
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uv only supports using the `keyring` package in
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[subprocess mode](../../reference/settings.md#keyring-provider). The `keyring` executable must be in
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the `PATH`, i.e., installed globally or in the active environment. The `keyring` CLI requires a
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username in the URL, and it must be `VssSessionToken`.
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```bash
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# Pre-install keyring and the Artifacts plugin from the public PyPI
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uv tool install keyring --with artifacts-keyring
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# Enable keyring authentication
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export UV_KEYRING_PROVIDER=subprocess
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# Set the username for the index
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export UV_INDEX_PRIVATE_REGISTRY_USERNAME=VssSessionToken
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```
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!!! note
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The [`tool.uv.keyring-provider`](../../reference/settings.md#keyring-provider)
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setting can be used to enable keyring in your `uv.toml` or `pyproject.toml`.
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Similarly, the username for the index can be added directly to the index URL.
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### Publishing packages to Azure Artifacts
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If you also want to publish your own packages to Azure Artifacts, you can use `uv publish` as
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described in the [Building and publishing guide](../package.md).
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First, add a `publish-url` to the index you want to publish packages to. For example:
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```toml title="pyproject.toml" hl_lines="4"
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[[tool.uv.index]]
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name = "private-registry"
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url = "https://pkgs.dev.azure.com/<ORGANIZATION>/<PROJECT>/_packaging/<FEED>/pypi/simple/"
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publish-url = "https://pkgs.dev.azure.com/<ORGANIZATION>/<PROJECT>/_packaging/<FEED>/pypi/upload/"
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```
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Then, configure credentials (if not using keyring):
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```console
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$ export UV_PUBLISH_USERNAME=dummy
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$ export UV_PUBLISH_PASSWORD="$AZURE_ARTIFACTS_TOKEN"
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```
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And publish the package:
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```console
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$ uv publish --index private-registry
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```
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To use `uv publish` without adding the `publish-url` to the project, you can set `UV_PUBLISH_URL`:
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```console
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$ export UV_PUBLISH_URL=https://pkgs.dev.azure.com/<ORGANIZATION>/<PROJECT>/_packaging/<FEED>/pypi/upload/
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$ uv publish
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```
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Note this method is not preferable because uv cannot check if the package is already published
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before uploading artifacts.
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## Google Artifact Registry
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uv can install packages from
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[Google Artifact Registry](https://cloud.google.com/artifact-registry/docs), either by using an
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access token, or using the [`keyring`](https://github.com/jaraco/keyring) package.
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!!! note
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This guide assumes that [`gcloud`](https://cloud.google.com/sdk/gcloud) CLI is installed and
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authenticated.
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To use Google Artifact Registry, add the index to your project:
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```toml title="pyproject.toml"
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[[tool.uv.index]]
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name = "private-registry"
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url = "https://<REGION>-python.pkg.dev/<PROJECT>/<REPOSITORY>"
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```
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### Authenticate with a Google access token
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Credentials can be provided via "Basic" HTTP authentication scheme. Include access token in the
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password field of the URL. Username must be `oauth2accesstoken`, otherwise authentication will fail.
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Generate a token with `gcloud`:
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```bash
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export ARTIFACT_REGISTRY_TOKEN=$(
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gcloud auth application-default print-access-token
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)
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```
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!!! note
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You might need to pass extra parameters to properly generate the token (like `--project`), this
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is a basic example.
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Then set credentials for the index with:
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```bash
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export UV_INDEX_PRIVATE_REGISTRY_USERNAME=oauth2accesstoken
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export UV_INDEX_PRIVATE_REGISTRY_PASSWORD="$ARTIFACT_REGISTRY_TOKEN"
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```
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!!! note
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`PRIVATE_REGISTRY` should match the name of the index defined in your `pyproject.toml`.
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### Authenticate with `keyring` and `keyrings.google-artifactregistry-auth`
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You can also authenticate to Artifact Registry using [`keyring`](https://github.com/jaraco/keyring)
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package with the
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[`keyrings.google-artifactregistry-auth` plugin](https://github.com/GoogleCloudPlatform/artifact-registry-python-tools).
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Because these two packages are required to authenticate to Artifact Registry, they must be
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pre-installed from a source other than Artifact Registry.
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The `keyrings.google-artifactregistry-auth` plugin wraps
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[gcloud CLI](https://cloud.google.com/sdk/gcloud) to generate short-lived access tokens, securely
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store them in system keyring, and refresh them when they are expired.
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uv only supports using the `keyring` package in
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[subprocess mode](../../reference/settings.md#keyring-provider). The `keyring` executable must be in
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the `PATH`, i.e., installed globally or in the active environment. The `keyring` CLI requires a
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username in the URL and it must be `oauth2accesstoken`.
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```bash
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# Pre-install keyring and Artifact Registry plugin from the public PyPI
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uv tool install keyring --with keyrings.google-artifactregistry-auth
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# Enable keyring authentication
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export UV_KEYRING_PROVIDER=subprocess
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# Set the username for the index
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export UV_INDEX_PRIVATE_REGISTRY_USERNAME=oauth2accesstoken
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```
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!!! note
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The [`tool.uv.keyring-provider`](../../reference/settings.md#keyring-provider)
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setting can be used to enable keyring in your `uv.toml` or `pyproject.toml`.
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Similarly, the username for the index can be added directly to the index URL.
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### Publishing packages to Google Artifact Registry
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If you also want to publish your own packages to Google Artifact Registry, you can use `uv publish`
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as described in the [Building and publishing guide](../package.md).
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First, add a `publish-url` to the index you want to publish packages to. For example:
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```toml title="pyproject.toml" hl_lines="4"
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[[tool.uv.index]]
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name = "private-registry"
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url = "https://<REGION>-python.pkg.dev/<PROJECT>/<REPOSITORY>"
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publish-url = "https://<REGION>-python.pkg.dev/<PROJECT>/<REPOSITORY>"
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```
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Then, configure credentials (if not using keyring):
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```console
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$ export UV_PUBLISH_USERNAME=oauth2accesstoken
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$ export UV_PUBLISH_PASSWORD="$ARTIFACT_REGISTRY_TOKEN"
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```
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And publish the package:
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```console
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$ uv publish --index private-registry
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```
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To use `uv publish` without adding the `publish-url` to the project, you can set `UV_PUBLISH_URL`:
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```console
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$ export UV_PUBLISH_URL=https://<REGION>-python.pkg.dev/<PROJECT>/<REPOSITORY>
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$ uv publish
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```
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Note this method is not preferable because uv cannot check if the package is already published
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before uploading artifacts.
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## AWS CodeArtifact
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uv can install packages from
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[AWS CodeArtifact](https://docs.aws.amazon.com/codeartifact/latest/ug/using-python.html), either by
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using an access token, or using the [`keyring`](https://github.com/jaraco/keyring) package.
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!!! note
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This guide assumes that [`awscli`](https://aws.amazon.com/cli/) is installed and authenticated.
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The index can be declared like so:
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```toml title="pyproject.toml"
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[[tool.uv.index]]
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name = "private-registry"
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url = "https://<DOMAIN>-<ACCOUNT_ID>.d.codeartifact.<REGION>.amazonaws.com/pypi/<REPOSITORY>/simple/"
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```
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### Authenticate with an AWS access token
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Credentials can be provided via "Basic" HTTP authentication scheme. Include access token in the
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password field of the URL. Username must be `aws`, otherwise authentication will fail.
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Generate a token with `awscli`:
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```bash
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export AWS_CODEARTIFACT_TOKEN="$(
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aws codeartifact get-authorization-token \
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--domain <DOMAIN> \
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--domain-owner <ACCOUNT_ID> \
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--query authorizationToken \
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--output text
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)"
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```
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!!! note
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You might need to pass extra parameters to properly generate the token (like `--region`), this
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is a basic example.
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Then set credentials for the index with:
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```bash
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export UV_INDEX_PRIVATE_REGISTRY_USERNAME=aws
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export UV_INDEX_PRIVATE_REGISTRY_PASSWORD="$AWS_CODEARTIFACT_TOKEN"
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```
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!!! note
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`PRIVATE_REGISTRY` should match the name of the index defined in your `pyproject.toml`.
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### Authenticate with `keyring` and `keyrings.codeartifact`
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You can also authenticate to Artifact Registry using [`keyring`](https://github.com/jaraco/keyring)
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package with the [`keyrings.codeartifact` plugin](https://github.com/jmkeyes/keyrings.codeartifact).
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Because these two packages are required to authenticate to Artifact Registry, they must be
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pre-installed from a source other than Artifact Registry.
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The `keyrings.codeartifact` plugin wraps [boto3](https://pypi.org/project/boto3/) to generate
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short-lived access tokens, securely store them in system keyring, and refresh them when they are
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expired.
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uv only supports using the `keyring` package in
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[subprocess mode](../../reference/settings.md#keyring-provider). The `keyring` executable must be in
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the `PATH`, i.e., installed globally or in the active environment. The `keyring` CLI requires a
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username in the URL and it must be `aws`.
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```bash
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# Pre-install keyring and AWS CodeArtifact plugin from the public PyPI
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uv tool install keyring --with keyrings.codeartifact
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# Enable keyring authentication
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export UV_KEYRING_PROVIDER=subprocess
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# Set the username for the index
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export UV_INDEX_PRIVATE_REGISTRY_USERNAME=aws
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```
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!!! note
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The [`tool.uv.keyring-provider`](../../reference/settings.md#keyring-provider)
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setting can be used to enable keyring in your `uv.toml` or `pyproject.toml`.
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Similarly, the username for the index can be added directly to the index URL.
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|
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### Publishing packages to AWS CodeArtifact
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If you also want to publish your own packages to AWS CodeArtifact, you can use `uv publish` as
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described in the [Building and publishing guide](../package.md).
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First, add a `publish-url` to the index you want to publish packages to. For example:
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```toml title="pyproject.toml" hl_lines="4"
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[[tool.uv.index]]
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name = "private-registry"
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url = "https://<DOMAIN>-<ACCOUNT_ID>.d.codeartifact.<REGION>.amazonaws.com/pypi/<REPOSITORY>/simple/"
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publish-url = "https://<DOMAIN>-<ACCOUNT_ID>.d.codeartifact.<REGION>.amazonaws.com/pypi/<REPOSITORY>/"
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```
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Then, configure credentials (if not using keyring):
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```console
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$ export UV_PUBLISH_USERNAME=aws
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$ export UV_PUBLISH_PASSWORD="$AWS_CODEARTIFACT_TOKEN"
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```
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And publish the package:
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```console
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$ uv publish --index private-registry
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```
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To use `uv publish` without adding the `publish-url` to the project, you can set `UV_PUBLISH_URL`:
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```console
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$ export UV_PUBLISH_URL=https://<DOMAIN>-<ACCOUNT_ID>.d.codeartifact.<REGION>.amazonaws.com/pypi/<REPOSITORY>/
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$ uv publish
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```
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Note this method is not preferable because uv cannot check if the package is already published
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before uploading artifacts.
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## Other package indexes
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uv is also known to work with JFrog's Artifactory.
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