* `RESTRICTED_TLS` is a secure configuration, intended to meet stricter compliance requirements.
 * `MODERN_TLS` is a secure configuration that connects to modern HTTPS servers.
 * `COMPATIBLE_TLS` is a secure configuration that connects to secure–but not current–HTTPS servers.
 * `CLEARTEXT` is an insecure configuration that is used for `http://` URLs.

And it should have an `access_token`, with a string containing our access token.

For this simple example, we are going to just be completely insecure and return the same `username` as the token.

/// tip

In the next chapter, you will see a real secure implementation, with password hashing and <abbr title="JSON Web Tokens">JWT</abbr> tokens.

But for now, let's focus on the specific details we need.

///

    t, inverse Gamma) now fully reparameterized.
*   Java: Experimental wrapper classes to make graph generation easier. Thanks
    @karllessard and @kbsriram
*   Build & link in secure gRPC components (switch from the insecure grpc
    dependency to secure grpc dependency).
*   Adding new endpoints for existing tensorflow symbols. These endpoints are
    going to be the preferred endpoints going forward and may replace some of

                // SECURITY WARNING: Unsecure basic authentication is enabled by default.
                // This sends credentials in Base64 encoding over potentially unencrypted connections.
                // For production, it is STRONGLY RECOMMENDED to set spnego.allow.unsecure.basic to false
                // and use HTTPS or more secure authentication methods.

        .addHeader(
          "Set-Cookie: a=android; " +
            "expires=Fri, 31-Dec-9999 23:59:59 GMT; " +
            "path=/path; " +
            "domain=${urlWithIpAddress.host}; " +
            "secure",
        ).build(),
    )
    get(urlWithIpAddress)
    val cookies = cookieManager.cookieStore.cookies
    assertThat(cookies.size).isEqualTo(1)
    val cookie = cookies[0]
    assertThat(cookie.name).isEqualTo("a")

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.

  - 🤖 An automatically generated frontend client.
  - 🧪 [Playwright](https://playwright.dev) for End-to-End testing.
  - 🦇 Dark mode support.
- 🐋 [Docker Compose](https://www.docker.com) for development and production.
- 🔒 Secure password hashing by default.
- 🔑 JWT (JSON Web Token) authentication.
- 📫 Email based password recovery.
- ✅ Tests with [Pytest](https://pytest.org).
- 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer.

    * For this to work, a **single** component (program) running on the server, listening on the **public IP address**, must have **all the HTTPS certificates** in the server.
* **After** obtaining a secure connection, the communication protocol is **still HTTP**.
    * The contents are **encrypted**, even though they are being sent with the **HTTP protocol**.

            return null;
        }

        @Override
        public Enumeration<Locale> getLocales() {
            return null;
        }

        @Override
        public boolean isSecure() {
            return false;
        }

        @Override
        public RequestDispatcher getRequestDispatcher(String path) {
            return null;
        }

        @Override

     */
    protected InputStream bodyStream;

    /**
     * The compression type for the request.
     */
    protected String compression = null;

    /**
     * The SSL socket factory for secure connections.
     */
    protected SSLSocketFactory sslSocketFactory = null;

    /**
     * The thread pool for executing the request.
     */
    protected ForkJoinPool threadPool;

    /**