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

    In the docs UI at <a href="http://127.0.0.1:9999/api/v1/docs" class="external-link" target="_blank">http://127.0.0.1:9999/api/v1/docs</a> it would look like:
    
    <img src="/img/tutorial/behind-a-proxy/image03.png">
    
    !!! tip
        The docs UI will interact with the server that you select.
    
    ### Disable automatic server from `root_path`
    
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  2. docs/en/docs/tutorial/first-steps.md

    <font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
    <font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>
    
     ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮
     │                      │
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  3. docs/en/docs/deployment/manually.md

    <font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
    <font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>
    
     ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮
     │                      │
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  4. docs/en/docs/deployment/concepts.md

    And it will work and will be useful **during development**.
    
    But if your connection to the server is lost, the **running process** will probably die.
    
    And if the server is restarted (for example after updates, or migrations from the cloud provider) you probably **won't notice it**. And because of that, you won't even know that you have to restart the process manually. So, your API will just stay dead. 😱
    
    ### Run Automatically on Startup
    
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  5. fastapi/__init__.py

    from .param_functions import File as File
    from .param_functions import Form as Form
    from .param_functions import Header as Header
    from .param_functions import Path as Path
    from .param_functions import Query as Query
    from .param_functions import Security as Security
    from .requests import Request as Request
    from .responses import Response as Response
    from .routing import APIRouter as APIRouter
    Python
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  6. docs/en/docs/release-notes.md

    ## 0.51.0
    
    * Re-export utils from Starlette:
        * This allows using things like `from fastapi.responses import JSONResponse` instead of `from starlette.responses import JSONResponse`.
        * It's mainly syntax sugar, a convenience for developer experience.
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  7. pyproject.toml

    "docs_src/dependencies/tutorial008b_an_py39.py" = ["B904"]
    
    
    [tool.ruff.lint.isort]
    known-third-party = ["fastapi", "pydantic", "starlette"]
    
    [tool.ruff.lint.pyupgrade]
    # Preserve types, even if a file imports `from __future__ import annotations`.
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  8. docs/en/docs/features.md

    You write standard Python with types:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # Declare a variable as a str
    # and get editor support inside the function
    def main(user_id: str):
        return user_id
    
    
    # A Pydantic model
    class User(BaseModel):
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  9. docs/en/docs/advanced/openapi-callbacks.md

        "paid": true
    }
    ```
    
    and it would expect a response from that *external API* with a JSON body like:
    
    ```JSON
    {
        "ok": true
    }
    ```
    
    !!! tip
        Notice how the callback URL used contains the URL received as a query parameter in `callback_url` (`https://www.external.org/events`) and also the invoice `id` from inside of the JSON body (`2expen51ve`).
    
    ### Add the callback router
    
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  10. docs/en/docs/advanced/websockets.md

    ```Python hl_lines="1  46-47"
    {!../../../docs_src/websockets/tutorial001.py!}
    ```
    
    !!! note "Technical Details"
        You could also use `from starlette.websockets import WebSocket`.
    
        **FastAPI** provides the same `WebSocket` directly just as a convenience for you, the developer. But it comes directly from Starlette.
    
    ## Await for messages and send messages
    
    In your WebSocket route you can `await` for messages and send messages.
    
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