"waiting": {
                "delay": 2628000,
                "message": "As this PR has been waiting for the original user for a while but seems to be inactive, it's now going to be closed. But if there's anyone interested, feel free to create a new PR.",
                "reminder": {
                    "before": "P3D",
                    "message": "Heads-up: this will be closed in 3 days unless there's new activity."

Then the malicious website could make the local AI agent send angry messages to the user's ex-boss... or worse. 😅

## Open Internet { #open-internet }

If your app is in the open internet, you wouldn't "trust the network" and let anyone send privileged requests without authentication.

Attackers could simply run a script to send requests to your API, no need for browser interaction, so you are probably already securing any privileged endpoints.

Executing `fastapi run` starts FastAPI in production mode.

By default, **auto-reload** is disabled. It also listens on the IP address `0.0.0.0`, which means all the available IP addresses, this way it will be publicly accessible to anyone that can communicate with the machine. This is how you would normally run it in production, for example, in a container.

      # Our Maven configuration then specifies different JDKs to use for some of the steps:
      # - 11 (sometimes) to *download* to support anyone who runs JDiff or our Gradle integration tests (including our doc snapshots and our Java 11 CI test run) but not to use directly

```
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c
```

It is not encrypted, so, anyone could recover the information from the contents.

But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it.

---

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<img src="/img/async/parallel-burgers/parallel-burgers-03.png" class="illustration">

As you and your crush are busy not letting anyone get in front of you and take your burgers whenever they arrive, you cannot pay attention to your crush. 😞

        packages that cannot be found unless the user installs them beforehand
        or provides additional installation flags.
    *   This dependency affected anyone installing TensorFlow 2.15 alongside
        NVIDIA CUDA dependencies via `pip install tensorflow[and-cuda]`.
    *   Depending on the installation method, TensorFlow 2.14 would be installed