start by opening a new issue describing the bug or feature you're intending to
fix. Even if you think it's relatively minor, it's helpful to know what people
are working on. And as mentioned above, API changes should be discussed
thoroughly before moving to code.

Some examples of types of pull requests that are immediately helpful:

  - Fixing a bug without changing a public API.
  - Fixing or improving documentation.

    steps:
    - name: Checkout code
      uses: actions/checkout@1af3b93b6815bc44a9784bd300feb67ff0d1eeb3 # v6.0.0
      with:
        ref: ${{ github.event.inputs.release_branch }}
    - name: Get some helpful info for formatting
      id: cherrypick
      run: |
          git config --global user.name "TensorFlow Release Automation"
          git config --global user.email "******@****.***"
          git fetch origin master

The same example would then look like:

{* ../../docs_src/dependencies/tutorial004_an_py310.py hl[19] *}

...and **FastAPI** will know what to do.

/// tip

If that seems more confusing than helpful, disregard it, you don't *need* it.

It is just a shortcut. Because **FastAPI** cares about helping you minimize code repetition.

///

You can extend the OpenAPI schema for a *path operation* using the parameter `openapi_extra`.

### OpenAPI Extensions { #openapi-extensions }

This `openapi_extra` can be helpful, for example, to declare [OpenAPI Extensions](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.3.md#specificationExtensions):

{* ../../docs_src/path_operation_advanced_configuration/tutorial005_py39.py hl[6] *}

/// check

So, with the same Python type declaration, **FastAPI** gives you data validation.

Notice that the error also clearly states exactly the point where the validation didn't pass.

This is incredibly helpful while developing and debugging code that interacts with your API.

///

## Documentation { #documentation }

EOF
    while read dep; do
      echo "For dependency $dep:"
      # For every missing dependency, find the tests which directly depend on
      # it, and print that list for debugging. Not really clear if this is
      # helpful since the only examples I've seen are enormous.
      bazel cquery "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)"
    done < $BATS_TEST_TMPDIR/missing_deps
    exit 1
  fi
}

* the tag
* the web framework
* the wildcard
* to return
* to validate

////

//// tab | Info

This is a not complete and not normative list of (mostly) technical terms seen in the docs. It may be helpful for the prompt designer to figure out for which terms the LLM needs a helping hand. For example when it keeps reverting a good translation to a suboptimal translation. Or when it has problems conjugating/declinating a term in your language.

If you have a large number of messages of different types, filtering by severity to see only `Error`s can be helpful when processing the report.
Errors are the only type of issues that must be resolved for the `checkBinaryCompatibility` task to succeed.

      .build()
    ```

 *  New: Support the `QUERY` HTTP method. You will need to set the `Request.cacheUrlOverride`
    property to cache calls made with this method. The `RequestBody.sha256()` may be helpful here;
    use it to compose a cache URL from the query body.

 *  New: Publish events when calls must wait to execute. `EventListener.dispatcherQueueStart()`

## 0.123.2

### Fixes

* 🐛 Fix unformatted `{type_}` in FastAPIError. PR [#14416](https://github.com/fastapi/fastapi/pull/14416) by [@Just-Helpful](https://github.com/Just-Helpful).
* 🐛 Fix parsing extra non-body parameter list. PR [#14356](https://github.com/fastapi/fastapi/pull/14356) by [@YuriiMotov](https://github.com/YuriiMotov).