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

    ```
    
    </div>
    
    ### Check the responses
    
    Now, if you go to the URL with the port for Uvicorn: <a href="http://127.0.0.1:8000/app" class="external-link" target="_blank">http://127.0.0.1:8000/app</a>, you will see the normal response:
    
    ```JSON
    {
        "message": "Hello World",
        "root_path": "/api/v1"
    }
    ```
    
    !!! tip
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  2. docs/en/docs/release-notes.md

    ### Docs
    
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  3. docs/en/docs/tutorial/first-steps.md

        "info": {
            "title": "FastAPI",
            "version": "0.1.0"
        },
        "paths": {
            "/items/": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {
                                "application/json": {
    
    
    
    ...
    ```
    
    #### What is OpenAPI for
    
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  4. pyproject.toml

    ]
    
    [tool.coverage.run]
    parallel = true
    source = [
        "docs_src",
        "tests",
        "fastapi"
    ]
    context = '${CONTEXT}'
    omit = [
        "docs_src/response_model/tutorial003_04.py",
        "docs_src/response_model/tutorial003_04_py310.py",
    ]
    
    [tool.ruff.lint]
    select = [
        "E",  # pycodestyle errors
        "W",  # pycodestyle warnings
        "F",  # pyflakes
        "I",  # isort
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  5. docs/en/docs/advanced/openapi-callbacks.md

    It should look just like a normal FastAPI *path operation*:
    
    * It should probably have a declaration of the body it should receive, e.g. `body: InvoiceEvent`.
    * And it could also have a declaration of the response it should return, e.g. `response_model=InvoiceEventReceived`.
    
    ```Python hl_lines="16-18  21-22  28-32"
    {!../../../docs_src/openapi_callbacks/tutorial001.py!}
    ```
    
    There are 2 main differences from a normal *path operation*:
    
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  6. docs/en/docs/deployment/concepts.md

    Those worker processes would be the ones running your application, they would perform the main computations to receive a **request** and return a **response**, and they would load anything you put in variables in RAM.
    
    <img src="/img/deployment/concepts/process-ram.svg">
    
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  7. docs/en/docs/advanced/wsgi.md

    ```txt
    Hello, World from Flask!
    ```
    
    And if you go to <a href="http://localhost:8000/v2" class="external-link" target="_blank">http://localhost:8000/v2</a> you will see the response from FastAPI:
    
    ```JSON
    {
        "message": "Hello World"
    }
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  8. README.md

    </details>
    
    ### Check it
    
    Open your browser at <a href="http://127.0.0.1:8000/items/5?q=somequery" class="external-link" target="_blank">http://127.0.0.1:8000/items/5?q=somequery</a>.
    
    You will see the JSON response as:
    
    ```JSON
    {"item_id": 5, "q": "somequery"}
    ```
    
    You already created an API that:
    
    * Receives HTTP requests in the _paths_ `/` and `/items/{item_id}`.
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  9. docs/en/docs/features.md

    * **WebSocket** support.
    * In-process background tasks.
    * Startup and shutdown events.
    * Test client built on HTTPX.
    * **CORS**, GZip, Static Files, Streaming responses.
    * **Session and Cookie** support.
    * 100% test coverage.
    * 100% type annotated codebase.
    
    ## Pydantic features
    
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  10. docs/en/docs/index.md

    </details>
    
    ### Check it
    
    Open your browser at <a href="http://127.0.0.1:8000/items/5?q=somequery" class="external-link" target="_blank">http://127.0.0.1:8000/items/5?q=somequery</a>.
    
    You will see the JSON response as:
    
    ```JSON
    {"item_id": 5, "q": "somequery"}
    ```
    
    You already created an API that:
    
    * Receives HTTP requests in the _paths_ `/` and `/items/{item_id}`.
    Plain Text
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