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

    ```JSON
    {
        "message": "Hello World",
        "root_path": "/api/v1"
    }
    ```
    
    So, it won't expect to be accessed at `http://127.0.0.1:8000/api/v1/app`.
    
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  2. docs/en/docs/tutorial/first-steps.md

    You will see the JSON response as:
    
    ```JSON
    {"message": "Hello World"}
    ```
    
    ### Interactive API docs
    
    Now go to <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.
    
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  3. docs/en/docs/deployment/concepts.md

    ### Server Memory
    
    For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.
    
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  4. README.md

        * Swagger UI.
        * ReDoc.
    
    ---
    
    Coming back to the previous code example, **FastAPI** will:
    
    * Validate that there is an `item_id` in the path for `GET` and `PUT` requests.
    * Validate that the `item_id` is of type `int` for `GET` and `PUT` requests.
        * If it is not, the client will see a useful, clear error.
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  5. docs/en/docs/advanced/settings.md

    Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).
    
    ### Use the `settings`
    
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  6. docs/en/docs/index.md

        * Swagger UI.
        * ReDoc.
    
    ---
    
    Coming back to the previous code example, **FastAPI** will:
    
    * Validate that there is an `item_id` in the path for `GET` and `PUT` requests.
    * Validate that the `item_id` is of type `int` for `GET` and `PUT` requests.
        * If it is not, the client will see a useful, clear error.
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  7. docs/en/docs/deployment/docker.md

    The first stage will only be used to **install Poetry** and to **generate the `requirements.txt`** with your project dependencies from Poetry's `pyproject.toml` file.
    
    This `requirements.txt` file will be used with `pip` later in the **next stage**.
    
    In the final container image **only the final stage** is preserved. The previous stage(s) will be discarded.
    
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