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  1. docs/en/docs/advanced/behind-a-proxy.md

    ```JSON hl_lines="4-8"
    {
        "openapi": "3.1.0",
        // More stuff here
        "servers": [
            {
                "url": "/api/v1"
            }
        ],
        "paths": {
                // More stuff here
        }
    }
    ```
    
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  2. docs/en/docs/tutorial/first-steps.md

    ```Python hl_lines="3"
    {!../../../docs_src/first_steps/tutorial001.py!}
    ```
    
    Here the `app` variable will be an "instance" of the class `FastAPI`.
    
    This will be the main point of interaction to create all your API.
    
    ### Step 3: create a *path operation*
    
    #### Path
    
    "Path" here refers to the last part of the URL starting from the first `/`.
    
    So, in a URL like:
    
    ```
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  3. docs/en/docs/advanced/dataclasses.md

        In this case, it's a list of `Item` dataclasses.
    
    6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.
    
        FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON.
    
    7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.
    
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  4. docs/en/docs/tutorial/response-model.md

    * It will **limit and filter** the output data to what is defined in the return type.
        * This is particularly important for **security**, we'll see more of that below.
    
    ## `response_model` Parameter
    
    There are some cases where you need or want to return some data that is not exactly what the type declares.
    
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  5. docs/en/docs/fastapi-people.md

    The data is calculated each month, you can read the <a href="https://github.com/tiangolo/fastapi/blob/master/.github/actions/people/app/main.py" class="external-link" target="_blank">source code here</a>.
    
    Here I'm also highlighting contributions from sponsors.
    
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  6. docs/en/docs/how-to/async-sql-encode-databases.md

        Notice that all this code is pure SQLAlchemy Core.
    
        `databases` is not doing anything here yet.
    
    ## Import and set up `databases`
    
    * Import `databases`.
    * Create a `DATABASE_URL`.
    * Create a `database` object.
    
    ```Python hl_lines="3  9  12"
    {!../../../docs_src/async_sql_databases/tutorial001.py!}
    ```
    
    !!! tip
        If you were connecting to a different database (e.g. PostgreSQL), you would need to change the `DATABASE_URL`.
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  7. docs/en/docs/advanced/generate-clients.md

    You can customize that function. It takes an `APIRoute` and outputs a string.
    
    For example, here it is using the first tag (you will probably have only one tag) and the *path operation* name (the function name).
    
    You can then pass that custom function to **FastAPI** as the `generate_unique_id_function` parameter:
    
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  8. docs/en/docs/deployment/concepts.md

    Of course, there are some cases where there's no problem in running the previous steps multiple times, in that case, it's a lot easier to handle.
    
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  9. docs/en/docs/python-types.md

    In Python 3.10 there's also a **new syntax** where you can put the possible types separated by a <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr>.
    
    === "Python 3.10+"
    
        ```Python hl_lines="1"
        {!> ../../../docs_src/python_types/tutorial008b_py310.py!}
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  10. docs/en/docs/how-to/custom-request-and-route.md

    This time, it will overwrite the method `APIRoute.get_route_handler()`.
    
    This method returns a function. And that function is what will receive a request and return a response.
    
    Here we use it to create a `GzipRequest` from the original request.
    
    ```Python hl_lines="18-26"
    {!../../../docs_src/custom_request_and_route/tutorial001.py!}
    ```
    
    !!! note "Technical Details"
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