def write_notification(email: str, message=""):
        with open("log.txt", mode="w") as email_file:
            content = f"notification for {email}: {message}"
            email_file.write(content)


    @app.post("/send-notification/{email}")
    async def send_notification(email: str, background_tasks: BackgroundTasks):
        background_tasks.add_task(write_notification, email, message="some notification")

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.

			os.Exit(0)
		}

		os.Exit(1)
	}

	stopProcess := func() bool {
		shutdownHealMRFWithTimeout() // this can take time sometimes, it needs to be executed
		// before stopping s3 operations

		// send signal to various go-routines that they need to quit.
		cancelGlobalContext()

		if httpServer := newHTTPServerFn(); httpServer != nil {
			if err := httpServer.Shutdown(); err != nil && !errors.Is(err, http.ErrServerClosed) {

```
curl -X PUT --data-binary @example.rego \
  localhost:8181/v1/policies/putobject
```

### 4. Setup MinIO with OPA

Set the `MINIO_POLICY_PLUGIN_URL` as the endpoint that MinIO should send authorization requests to. Then start the server.

```sh
export MINIO_POLICY_PLUGIN_URL=http://localhost:8181/v1/data/httpapi/authz/allow
export MINIO_CI_CD=1
export MINIO_ROOT_USER=minio

    };

    public abstract Queue<Integer> create(Comparator<Integer> comparator);
  }

  /**
   * Does a CPU intensive operation on Integer and returns a BigInteger Used to implement an
   * ordering that spends a lot of cpu.
   */
  static class ExpensiveComputation implements Function<Integer, BigInteger> {
    @Override
    public BigInteger apply(Integer from) {
      BigInteger v = BigInteger.valueOf(from);

    };

    public abstract Queue<Integer> create(Comparator<Integer> comparator);
  }

  /**
   * Does a CPU intensive operation on Integer and returns a BigInteger Used to implement an
   * ordering that spends a lot of cpu.
   */
  static class ExpensiveComputation implements Function<Integer, BigInteger> {
    @Override
    public BigInteger apply(Integer from) {
      BigInteger v = BigInteger.valueOf(from);

You could also stream **video** or **audio** this way, it could even be generated as you process and send it.

## A `StreamingResponse` with `yield` { #a-streamingresponse-with-yield }

If you declare a `response_class=StreamingResponse` in your *path operation function*, you can use `yield` to send each chunk of data in turn.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[1:23] hl[20,23] *}

			val:   0.61,
			label: labels[3],
		},
		{
			val:   0.79,
			label: labels[2],
		},
	}
	ticker := time.NewTicker(1 * time.Millisecond)
	defer ticker.Stop()
	for _, obs := range observations {
		// Send observations once every 1ms, to simulate delay between
		// observations. This is to test the channel based
		// synchronization used internally.
		<-ticker.C
		ttfbHist.With(prometheus.Labels{"api": obs.label}).Observe(obs.val)

     * @return the negotiated capabilities
     */
    public int getNegotiatedCapabilities() {
        return this.capabilities;
    }

    /**
     * Gets the negotiated send buffer size.
     *
     * @return negotiated send buffer size
     */
    public int getNegotiatedSendBufferSize() {
        return this.snd_buf_size;
    }

    /**
     * Gets the negotiated multiplex count.
     *

            lang_code=lang_code,
            auto_fix=True,
            path=str(path),
        )

        # Write back the fixed document
        doc_lines.append("")  # Ensure file ends with a newline
        path.write_text("\n".join(doc_lines), encoding="utf-8")

    except ValueError as e:
        print(f"Error processing {path}: {e}")
        return False
    return True


@cli.command()