docs: add examples + guidance on Realtime API support

README.md

@@ -258,6 +258,67 @@ We recommend that you always instantiate a client (e.g., with `client = OpenAI()
 - It's harder to mock for testing purposes
 - It's not possible to control cleanup of network connections
 
+## Realtime API beta
+
+The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as [function calling](https://platform.openai.com/docs/guides/function-calling) through a WebSocket connection.
+
+Under the hood the SDK uses the [`websockets`](https://websockets.readthedocs.io/en/stable/) library to manage connections.
+
+The Realtime API works through a combination of client-sent events and server-sent events. Clients can send events to do things like update session configuration or send text and audio inputs. Server events confirm when audio responses have completed, or when a text response from the model has been received. A full event reference can be found [here](platform.openai.com/docs/api-reference/realtime-client-events) and a guide can be found [here](https://platform.openai.com/docs/guides/realtime).
+
+Basic text based example:
+
+```py
+import asyncio
+from openai import AsyncOpenAI
+
+async def main():
+    client = AsyncOpenAI()
+
+    async with client.beta.realtime.connect(model="gpt-4o-realtime-preview-2024-10-01") as connection:
+        await connection.session.update(session={'modalities': ['text']})
+
+        await connection.conversation.item.create(
+            item={
+                "type": "message",
+                "role": "user",
+                "content": [{"type": "input_text", "text": "Say hello!"}],
+            }
+        )
+        await connection.response.create()
+
+        async for event in connection:
+            if event.type == 'response.text.delta':
+                print(event.delta, flush=True, end="")
+
+            elif event.type == 'response.text.done':
+                print()
+
+            elif event.type == "response.done":
+                break
+
+asyncio.run(main())
+```
+
+However the real magic of the Realtime API is handling audio inputs / outputs, see this example [TUI script](https://github.com/stainless-sdks/openai-python/blob/robert/realtime-docs-preview/examples/realtime/push_to_talk_app.py) for a fully fledged example.
+
+### Realtime error handling
+
+Whenever an error occurs, the Realtime API will send an [`error` event](https://platform.openai.com/docs/guides/realtime/realtime-api-beta#handling-errors) and the connection will stay open and remain usable. This means you need to handle it yourself, as *no errors are raised directly* by the SDK when an `error` event comes in.
+
+```py
+client = AsyncOpenAI()
+
+async with client.beta.realtime.connect(model="gpt-4o-realtime-preview-2024-10-01") as connection:
+    ...
+    async for event in connection:
+        if event.type == 'error':
+            print(event.error.type)
+            print(event.error.code)
+            print(event.error.event_id)
+            print(event.error.message)
+```
+
 ## Using types
 
 Nested request parameters are [TypedDicts](https://docs.python.org/3/library/typing.html#typing.TypedDict). Responses are [Pydantic models](https://docs.pydantic.dev) which also provide helper methods for things like:

examples/realtime/audio_util.py

@@ -0,0 +1,142 @@
+from __future__ import annotations
+
+import io
+import base64
+import asyncio
+import threading
+from typing import Callable, Awaitable
+
+import numpy as np
+import pyaudio
+import sounddevice as sd
+from pydub import AudioSegment
+
+from openai.resources.beta.realtime.realtime import AsyncRealtimeConnection
+
+CHUNK_LENGTH_S = 0.05  # 100ms
+SAMPLE_RATE = 24000
+FORMAT = pyaudio.paInt16
+CHANNELS = 1
+
+# pyright: reportUnknownMemberType=false, reportUnknownVariableType=false, reportUnknownArgumentType=false
+
+
+def audio_to_pcm16_base64(audio_bytes: bytes) -> bytes:
+    # load the audio file from the byte stream
+    audio = AudioSegment.from_file(io.BytesIO(audio_bytes))
+    print(f"Loaded audio: {audio.frame_rate=} {audio.channels=} {audio.sample_width=} {audio.frame_width=}")
+    # resample to 24kHz mono pcm16
+    pcm_audio = audio.set_frame_rate(SAMPLE_RATE).set_channels(CHANNELS).set_sample_width(2).raw_data
+    return pcm_audio
+
+
+class AudioPlayerAsync:
+    def __init__(self):
+        self.queue = []
+        self.lock = threading.Lock()
+        self.stream = sd.OutputStream(
+            callback=self.callback,
+            samplerate=SAMPLE_RATE,
+            channels=CHANNELS,
+            dtype=np.int16,
+            blocksize=int(CHUNK_LENGTH_S * SAMPLE_RATE),
+        )
+        self.playing = False
+        self._frame_count = 0
+
+    def callback(self, outdata, frames, time, status):  # noqa
+        with self.lock:
+            data = np.empty(0, dtype=np.int16)
+
+            # get next item from queue if there is still space in the buffer
+            while len(data) < frames and len(self.queue) > 0:
+                item = self.queue.pop(0)
+                frames_needed = frames - len(data)
+                data = np.concatenate((data, item[:frames_needed]))
+                if len(item) > frames_needed:
+                    self.queue.insert(0, item[frames_needed:])
+
+            self._frame_count += len(data)
+
+            # fill the rest of the frames with zeros if there is no more data
+            if len(data) < frames:
+                data = np.concatenate((data, np.zeros(frames - len(data), dtype=np.int16)))
+
+        outdata[:] = data.reshape(-1, 1)
+
+    def reset_frame_count(self):
+        self._frame_count = 0
+
+    def get_frame_count(self):
+        return self._frame_count
+
+    def add_data(self, data: bytes):
+        with self.lock:
+            # bytes is pcm16 single channel audio data, convert to numpy array
+            np_data = np.frombuffer(data, dtype=np.int16)
+            self.queue.append(np_data)
+            if not self.playing:
+                self.start()
+
+    def start(self):
+        self.playing = True
+        self.stream.start()
+
+    def stop(self):
+        self.playing = False
+        self.stream.stop()
+        with self.lock:
+            self.queue = []
+
+    def terminate(self):
+        self.stream.close()
+
+
+async def send_audio_worker_sounddevice(
+    connection: AsyncRealtimeConnection,
+    should_send: Callable[[], bool] | None = None,
+    start_send: Callable[[], Awaitable[None]] | None = None,
+):
+    sent_audio = False
+
+    device_info = sd.query_devices()
+    print(device_info)
+
+    read_size = int(SAMPLE_RATE * 0.02)
+
+    stream = sd.InputStream(
+        channels=CHANNELS,
+        samplerate=SAMPLE_RATE,
+        dtype="int16",
+    )
+    stream.start()
+
+    try:
+        while True:
+            if stream.read_available < read_size:
+                await asyncio.sleep(0)
+                continue
+
+            data, _ = stream.read(read_size)
+
+            if should_send() if should_send else True:
+                if not sent_audio and start_send:
+                    await start_send()
+                await connection.send(
+                    {"type": "input_audio_buffer.append", "audio": base64.b64encode(data).decode("utf-8")}
+                )
+                sent_audio = True
+
+            elif sent_audio:
+                print("Done, triggering inference")
+                await connection.send({"type": "input_audio_buffer.commit"})
+                await connection.send({"type": "response.create", "response": {}})
+                sent_audio = False
+
+            await asyncio.sleep(0)
+
+    except KeyboardInterrupt:
+        pass
+    finally:
+        stream.stop()
+        stream.close()