<!--- Provide a general summary of the issue in the Title above -->

## Expected Behavior
<!--- If you're describing a bug, tell us what should happen -->
<!--- If you're suggesting a change/improvement, tell us how it should work -->

## Current Behavior
<!--- If describing a bug, tell us what happens instead of the expected behavior -->
<!--- If suggesting a change/improvement, explain the difference from current behavior -->

        Provide a brief summary of the issue in the title above
  - type: textarea
    id: expected-behavior
    attributes:
      label: Expected Behavior
      description: Tell us how it should work
    validations:
      required: true
  - type: textarea
    id: current-behavior
    attributes:
      label: Current Behavior (optional)

      isTlsFallback = isTlsFallback,
    )

  override fun connectTcp(): ConnectResult {
    check(rawSocket == null) { "TCP already connected" }

    var success = false

    // Tell the call about the connecting call so async cancels work.
    call.plansToCancel += this
    try {
      call.eventListener.connectStart(call, route.socketAddress, route.proxy)

The body should be annotated with `Any`, because the request and the response would be... well... **anything**. 🤷

The idea is that you would receive the payload and send it **directly** to an LLM provider, using a `prompt` to tell the LLM what to do, and return the response **as is**. No questions asked.

## Pydantic `bytes` { #pydantic-bytes }

You can declare a Pydantic model with `bytes` fields, and then use `val_json_bytes` in the model config to tell it to use base64 to *validate* input JSON data, as part of that validation it will decode the base64 string into bytes.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:9,29:35] hl[9] *}

/// info

If you are using containers, for example with Docker or Kubernetes, I'll tell you more about that in the next chapter: [FastAPI in Containers - Docker](docker.md).

In particular, when running on **Kubernetes** you will probably **not** want to use workers and instead run **a single Uvicorn process per container**, but I'll tell you about it later in that chapter.

///

## Multiple Workers { #multiple-workers }

2. **Thoughtful, honest feedback.** We will consider every contribution on its merits, regardless of whether AI was used. We may not respond quickly—our review queue is long—but we will tell you clearly what works, what needs to change, and why.

### DNS { #dns }

Now let's focus on all the actual HTTPS parts.

First, the browser would check with the **DNS servers** what is the **IP for the domain**, in this case, `someapp.example.com`.

The DNS servers would tell the browser to use some specific **IP address**. That would be the public IP address used by your server, that you configured in the DNS servers.

<img src="/img/deployment/https/https01.drawio.svg">

        history.add(LlmMessage.user("How to install Fess?"));
        history.add(LlmMessage.assistant("You can install Fess using Docker."));
        final LlmChatRequest request = client.testBuildIntentRequest("Tell me more about Docker", history);
        final List<LlmMessage> messages = request.getMessages();
        // system + 2 history + user = 4 messages
        assertEquals(4, messages.size());

In general, ASGI middlewares are classes that expect to receive an ASGI app as the first argument.

So, in the documentation for third-party ASGI middlewares they will probably tell you to do something like:

```Python
from unicorn import UnicornMiddleware

app = SomeASGIApp()

new_app = UnicornMiddleware(app, some_config="rainbow")
```