public interface ToolchainManager extends Service {

    /**
     * Retrieves toolchains matching the specified type and requirements.
     *
     * @param session The Maven session context
     * @param type The type of toolchain (e.g., "jdk", "compiler")
     * @param requirements Key-value pairs specifying toolchain requirements (e.g., "version": "11")
     * @return List of matching toolchains, never null

```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

Então você só teria que alterar os caminhos correspondentes para copiar o arquivo dentro do `Dockerfile`:

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# (1)
COPY ./main.py /code/

* Using a cloud service that would run a container image for you, etc.

### Package Requirements { #package-requirements }

You would normally have the **package requirements** for your application in some file.

It would depend mainly on the tool you use to **install** those requirements.

The most common way to do it is to have a file `requirements.txt` with the package names and their versions, one per line.

        public List<org.apache.maven.api.Toolchain> getToolchains(
                @Nonnull Session session, @Nonnull String type, @Nullable Map<String, String> requirements)
                throws ToolchainManagerException {
            return getDelegate().getToolchains(session, type, requirements);
        }

        @Nonnull
        @Override
        public Optional<org.apache.maven.api.Toolchain> getToolchainFromBuildContext(

        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

      - name: Setup uv
        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - run: uv pip install -r requirements-github-actions.txt
      - uses: actions/download-artifact@v5
        with:
          name: coverage-html
          path: htmlcov

        uses: astral-sh/setup-uv@v6
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-github-actions.txt
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

* Reduce Metrics Server memory requirement from 140Mi + 4Mi per node to 40Mi + 4Mi per node. ([#58391](https://github.com/kubernetes/kubernetes/pull/58391), [@kawych](https://github.com/kawych))

    /**
     * Let the toolchain decide if it matches requirements defined
     * in the toolchain plugin configuration.
     * @param requirements Map<String, String> key value pair, may not be {@code null}
     * @return {@code true} if the requirements match, otherwise {@code false}
     */
    boolean matchesRequirements(Map<String, String> requirements);

    /**
     *

    /**
     * Let the toolchain decide if it matches requirements defined
     * in the toolchain plugin configuration.
     *
     * @param requirements key value pair, may not be {@code null}
     * @return {@code true} if the requirements match, otherwise {@code false}
     */
    boolean matchesRequirements(Map<String, String> requirements);