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  1. docs/en/docs/how-to/conditional-openapi.md

    If you want to secure your API, there are several better things you can do, for example:
    
    * Make sure you have well defined Pydantic models for your request bodies and responses.
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  2. docs/en/docs/advanced/using-request-directly.md

    # Using the Request Directly
    
    Up to now, you have been declaring the parts of the request that you need with their types.
    
    Taking data from:
    
    * The path as parameters.
    * Headers.
    * Cookies.
    * etc.
    
    And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.
    
    But there are situations where you might need to access the `Request` object directly.
    
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  3. docs/en/docs/reference/websockets.md

    # WebSockets
    
    When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.
    
    It is provided directly by Starlette, but you can import it from `fastapi`:
    
    ```python
    from fastapi import WebSocket
    ```
    
    !!! tip
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  4. docs/en/docs/tutorial/metadata.md

    ## Docs URLs
    
    You can configure the two documentation user interfaces included:
    
    * **Swagger UI**: served at `/docs`.
        * You can set its URL with the parameter `docs_url`.
        * You can disable it by setting `docs_url=None`.
    * **ReDoc**: served at `/redoc`.
        * You can set its URL with the parameter `redoc_url`.
        * You can disable it by setting `redoc_url=None`.
    
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  5. docs/en/docs/tutorial/security/first-steps.md

    You will see something like this:
    
    <img src="/img/tutorial/security/image01.png">
    
    !!! check "Authorize button!"
        You already have a shiny new "Authorize" button.
    
        And your *path operation* has a little lock in the top-right corner that you can click.
    
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  6. docs/en/docs/tutorial/body-multiple-params.md

    ## Embed a single body parameter
    
    Let's say you only have a single `item` body parameter from a Pydantic model `Item`.
    
    By default, **FastAPI** will then expect its body directly.
    
    But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:
    
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  7. docs/en/docs/tutorial/request-forms-and-files.md

        ```
    
    The files and form fields will be uploaded as form data and you will receive the files and form fields.
    
    And you can declare some of the files as `bytes` and some as `UploadFile`.
    
    !!! warning
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  8. .github/ISSUE_TEMPLATE/privileged.yml

    name: Privileged
    description: You are @tiangolo or he asked you directly to create an issue here. If not, check the other options. 👇
    body:
      - type: markdown
        attributes:
          value: |
            Thanks for your interest in FastAPI! 🚀
    
    Others
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  9. docs/en/docs/how-to/async-sql-encode-databases.md

    ```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`.
    
    ## Create the tables
    
    In this case, we are creating the tables in the same Python file, but in production, you would probably want to create them with Alembic, integrated with migrations, etc.
    
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  10. docs/en/docs/advanced/sub-applications.md

    # Sub Applications - Mounts
    
    If you need to have two independent FastAPI applications, with their own independent OpenAPI and their own docs UIs, you can have a main app and "mount" one (or more) sub-application(s).
    
    ## Mounting a **FastAPI** application
    
    "Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.
    
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