From 997a28f06ae1545690deb0f587d812afe95b1498 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Wed, 8 Jan 2025 17:02:03 +0100
Subject: [PATCH 01/15] draft initial implementation of Realtime API

---
 python/pyproject.toml                         |    6 +
 .../audio/04-chat_with_realtime_api.py        |  126 ++
 python/samples/concepts/audio/audio_player.py |    2 +-
 .../concepts/audio/audio_player_async.py      |   75 +
 .../concepts/audio/audio_recorder_stream.py   |   59 +
 .../ai/chat_completion_client_base.py         |   28 +-
 .../open_ai_realtime_execution_settings.py    |   48 +
 .../ai/open_ai/services/open_ai_realtime.py   |   66 +
 .../open_ai/services/open_ai_realtime_base.py |  294 +++
 .../services/open_ai_realtime_utils.py        |   47 +
 .../connectors/ai/realtime_client_base.py     |   51 +
 .../contents/chat_message_content.py          |    2 +
 .../contents/function_call_content.py         |    1 +
 .../streaming_chat_message_content.py         |    2 +
 .../tests/unit/contents/test_audio_content.py |   60 +
 python/uv.lock                                | 1623 +++++++++--------
 16 files changed, 1684 insertions(+), 806 deletions(-)
 create mode 100644 python/samples/concepts/audio/04-chat_with_realtime_api.py
 create mode 100644 python/samples/concepts/audio/audio_player_async.py
 create mode 100644 python/samples/concepts/audio/audio_recorder_stream.py
 create mode 100644 python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py
 create mode 100644 python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
 create mode 100644 python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
 create mode 100644 python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_utils.py
 create mode 100644 python/semantic_kernel/connectors/ai/realtime_client_base.py
 create mode 100644 python/tests/unit/contents/test_audio_content.py

diff --git a/python/pyproject.toml b/python/pyproject.toml
index de6e331ab3fd..787dc9a4b0a4 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -123,6 +123,12 @@ dapr = [
     "dapr-ext-fastapi>=1.14.0",
     "flask-dapr>=1.14.0"
 ]
+openai_realtime = [
+    "openai[realtime] ~= 1.0",
+    "pyaudio",
+    "pydub",
+    "sounddevice"
+]
 
 [tool.uv]
 prerelease = "if-necessary-or-explicit"
diff --git a/python/samples/concepts/audio/04-chat_with_realtime_api.py b/python/samples/concepts/audio/04-chat_with_realtime_api.py
new file mode 100644
index 000000000000..4440d13b8eec
--- /dev/null
+++ b/python/samples/concepts/audio/04-chat_with_realtime_api.py
@@ -0,0 +1,126 @@
+# Copyright (c) Microsoft. All rights reserved.
+import asyncio
+import contextlib
+import logging
+import signal
+
+from samples.concepts.audio.audio_player_async import AudioPlayerAsync
+
+# This simple sample demonstrates how to use the OpenAI Realtime API to create
+# a chat bot that can listen and respond directly through audio.
+# It requires installing semantic-kernel[openai_realtime] which includes the
+# OpenAI Realtime API client and some packages for handling audio locally.
+# It has hardcoded device id's set in the AudioRecorderStream and AudioPlayerAsync classes,
+# so you may need to adjust these for your system.
+from samples.concepts.audio.audio_recorder_stream import AudioRecorderStream
+from semantic_kernel import Kernel
+from semantic_kernel.connectors.ai import FunctionChoiceBehavior
+from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (
+    OpenAIRealtimeExecutionSettings,
+    TurnDetection,
+)
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime import OpenAIRealtime
+from semantic_kernel.contents import AudioContent, ChatHistory, StreamingTextContent
+from semantic_kernel.functions import kernel_function
+
+logging.basicConfig(level=logging.WARNING)
+logger = logging.getLogger(__name__)
+
+
+def signal_handler():
+    for task in asyncio.all_tasks():
+        task.cancel()
+
+
+system_message = """
+You are a chat bot. Your name is Mosscap and
+you have one goal: figure out what people need.
+Your full name, should you need to know it, is
+Splendid Speckled Mosscap. You communicate
+effectively, but you tend to answer with long
+flowery prose.
+"""
+
+history = ChatHistory()
+history.add_user_message("Hi there, who are you?")
+history.add_assistant_message("I am Mosscap, a chat bot. I'm trying to figure out what people need.")
+
+
+class Speaker:
+    def __init__(self, audio_player: AudioPlayerAsync, realtime_client: OpenAIRealtime, kernel: Kernel):
+        self.audio_player = audio_player
+        self.realtime_client = realtime_client
+        self.kernel = kernel
+
+    async def play(
+        self,
+        chat_history: ChatHistory,
+        settings: OpenAIRealtimeExecutionSettings,
+    ) -> None:
+        self.audio_player.reset_frame_count()
+        print("Mosscap (transcript): ", end="")
+        try:
+            async for content in self.realtime_client.get_streaming_chat_message_content(
+                chat_history=chat_history, settings=settings, kernel=self.kernel
+            ):
+                if not content:
+                    continue
+                for item in content.items:
+                    match item:
+                        case StreamingTextContent():
+                            print(item.text, end="")
+                            await asyncio.sleep(0.01)
+                            continue
+                        case AudioContent():
+                            self.audio_player.add_data(item.data)
+                            await asyncio.sleep(0.01)
+                            continue
+        except asyncio.CancelledError:
+            print("\nThanks for talking to Mosscap!")
+
+
+class Microphone:
+    def __init__(self, audio_recorder: AudioRecorderStream, realtime_client: OpenAIRealtime):
+        self.audio_recorder = audio_recorder
+        self.realtime_client = realtime_client
+
+    async def record_audio(self):
+        with contextlib.suppress(asyncio.CancelledError):
+            async for audio in self.audio_recorder.stream_audio_content():
+                if audio.data:
+                    await self.realtime_client.send_content(content=audio)
+                await asyncio.sleep(0.01)
+
+
+@kernel_function
+def get_weather(location: str) -> str:
+    """Get the weather for a location."""
+    logger.debug(f"Getting weather for {location}")
+    return f"The weather in {location} is sunny."
+
+
+async def main() -> None:
+    loop = asyncio.get_event_loop()
+    loop.add_signal_handler(signal.SIGINT, signal_handler)
+    settings = OpenAIRealtimeExecutionSettings(
+        instructions=system_message,
+        voice="sage",
+        turn_detection=TurnDetection(type="server_vad", create_response=True, silence_duration_ms=800, threshold=0.8),
+        function_choice_behavior=FunctionChoiceBehavior.Auto(),
+    )
+    realtime_client = OpenAIRealtime(ai_model_id="gpt-4o-realtime-preview-2024-12-17")
+    kernel = Kernel()
+    kernel.add_function(plugin_name="weather", function_name="get_weather", function=get_weather)
+
+    speaker = Speaker(AudioPlayerAsync(), realtime_client, kernel)
+    microphone = Microphone(AudioRecorderStream(), realtime_client)
+    with contextlib.suppress(asyncio.CancelledError):
+        await asyncio.gather(*[speaker.play(history, settings), microphone.record_audio()])
+
+
+if __name__ == "__main__":
+    print(
+        "Instruction: start speaking, when you stop the API should detect you finished and start responding."
+        "Press ctrl + c to stop the program."
+    )
+    asyncio.run(main())
diff --git a/python/samples/concepts/audio/audio_player.py b/python/samples/concepts/audio/audio_player.py
index b10c15184821..036b978dcff1 100644
--- a/python/samples/concepts/audio/audio_player.py
+++ b/python/samples/concepts/audio/audio_player.py
@@ -20,7 +20,7 @@ class AudioPlayer(BaseModel):
     # Audio replay parameters
     CHUNK: ClassVar[int] = 1024
 
-    audio_content: AudioContent
+    audio_content: AudioContent | None = None
 
     def play(self, text: str | None = None) -> None:
         """Play the audio content to the default audio output device.
diff --git a/python/samples/concepts/audio/audio_player_async.py b/python/samples/concepts/audio/audio_player_async.py
new file mode 100644
index 000000000000..9ae424b01c66
--- /dev/null
+++ b/python/samples/concepts/audio/audio_player_async.py
@@ -0,0 +1,75 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import threading
+
+import numpy as np
+import pyaudio
+import sounddevice as sd
+
+CHUNK_LENGTH_S = 0.05  # 100ms
+SAMPLE_RATE = 24000
+FORMAT = pyaudio.paInt16
+CHANNELS = 1
+
+
+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),
+            device=3,
+        )
+        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()
diff --git a/python/samples/concepts/audio/audio_recorder_stream.py b/python/samples/concepts/audio/audio_recorder_stream.py
new file mode 100644
index 000000000000..99ac1a9f8141
--- /dev/null
+++ b/python/samples/concepts/audio/audio_recorder_stream.py
@@ -0,0 +1,59 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import base64
+from collections.abc import AsyncGenerator
+from typing import Any, ClassVar, cast
+
+from pydantic import BaseModel
+
+from semantic_kernel.contents.audio_content import AudioContent
+
+
+class AudioRecorderStream(BaseModel):
+    """A class to record audio from the microphone and save it to a WAV file.
+
+    To start recording, press the spacebar. To stop recording, release the spacebar.
+
+    To use as a context manager, that automatically removes the output file after exiting the context:
+    ```
+    with AudioRecorder(output_filepath="output.wav") as recorder:
+        recorder.start_recording()
+        # Do something with the recorded audio
+        ...
+    ```
+    """
+
+    # Audio recording parameters
+    CHANNELS: ClassVar[int] = 1
+    SAMPLE_RATE: ClassVar[int] = 24000
+    CHUNK_LENGTH_S: ClassVar[float] = 0.05
+
+    async def stream_audio_content(self) -> AsyncGenerator[AudioContent, None]:
+        import sounddevice as sd  # type: ignore
+
+        # device_info = sd.query_devices()
+        # print(device_info)
+
+        read_size = int(self.SAMPLE_RATE * 0.02)
+
+        stream = sd.InputStream(
+            channels=self.CHANNELS,
+            samplerate=self.SAMPLE_RATE,
+            dtype="int16",
+            device=4,
+        )
+        stream.start()
+        try:
+            while True:
+                if stream.read_available < read_size:
+                    await asyncio.sleep(0)
+                    continue
+
+                data, _ = stream.read(read_size)
+                yield AudioContent(data=base64.b64encode(cast(Any, data)), data_format="base64", mime_type="audio/wav")
+        except KeyboardInterrupt:
+            pass
+        finally:
+            stream.stop()
+            stream.close()
diff --git a/python/semantic_kernel/connectors/ai/chat_completion_client_base.py b/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
index de9edf36c268..a44f83b9d792 100644
--- a/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
+++ b/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
@@ -225,7 +225,7 @@ async def get_streaming_chat_message_contents(
 
         if not self.SUPPORTS_FUNCTION_CALLING:
             async for streaming_chat_message_contents in self._inner_get_streaming_chat_message_contents(
-                chat_history, settings
+                chat_history, settings, **kwargs
             ):
                 yield streaming_chat_message_contents
             return
@@ -259,7 +259,7 @@ async def get_streaming_chat_message_contents(
             or not settings.function_choice_behavior.auto_invoke_kernel_functions
         ):
             async for streaming_chat_message_contents in self._inner_get_streaming_chat_message_contents(
-                chat_history, settings
+                chat_history, settings, **kwargs
             ):
                 yield streaming_chat_message_contents
             return
@@ -271,12 +271,14 @@ async def get_streaming_chat_message_contents(
                 all_messages: list["StreamingChatMessageContent"] = []
                 function_call_returned = False
                 async for messages in self._inner_get_streaming_chat_message_contents(
-                    chat_history, settings, request_index
+                    chat_history, settings, request_index, **kwargs
                 ):
                     for msg in messages:
                         if msg is not None:
                             all_messages.append(msg)
-                            if any(isinstance(item, FunctionCallContent) for item in msg.items):
+                            if not function_call_returned and any(
+                                isinstance(item, FunctionCallContent) for item in msg.items
+                            ):
                                 function_call_returned = True
                     yield messages
 
@@ -320,6 +322,7 @@ async def get_streaming_chat_message_contents(
                     function_invoke_attempt=request_index,
                 )
                 if self._yield_function_result_messages(function_result_messages):
+                    await self._streaming_function_call_result_callback(function_result_messages)
                     yield function_result_messages
 
                 if any(result.terminate for result in results if result is not None):
@@ -442,7 +445,22 @@ def _get_ai_model_id(self, settings: "PromptExecutionSettings") -> str:
         return getattr(settings, "ai_model_id", self.ai_model_id) or self.ai_model_id
 
     def _yield_function_result_messages(self, function_result_messages: list) -> bool:
-        """Determine if the function result messages should be yielded."""
+        """Determine if the function result messages should be yielded.
+
+        If there are messages and if the first message has items, then yield the messages.
+        """
         return len(function_result_messages) > 0 and len(function_result_messages[0].items) > 0
 
+    async def _streaming_function_call_result_callback(
+        self, function_result_messages: list["ChatMessageContent"]
+    ) -> None:
+        """Callback to handle the streaming function call result messages.
+
+        Override this method to handle the streaming function call result messages.
+
+        Args:
+            function_result_messages (list): The streaming function call result messages.
+        """
+        return
+
     # endregion
diff --git a/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py b/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py
new file mode 100644
index 000000000000..480e2ed1373f
--- /dev/null
+++ b/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py
@@ -0,0 +1,48 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from collections.abc import Sequence
+from typing import Annotated, Any, Literal
+
+from pydantic import Field
+
+from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.kernel_pydantic import KernelBaseModel
+
+
+class TurnDetection(KernelBaseModel):
+    """Turn detection settings."""
+
+    type: Literal["server_vad"] | None = None
+    threshold: Annotated[float | None, Field(ge=0, le=1)] = None
+    prefix_padding_ms: Annotated[int | None, Field(ge=0)] = None
+    silence_duration_ms: Annotated[int | None, Field(ge=0)] = None
+    create_response: bool | None = None
+
+
+class OpenAIRealtimeExecutionSettings(PromptExecutionSettings):
+    """Request settings for OpenAI realtime services."""
+
+    modalities: Sequence[Literal["audio", "text"]] | None = None
+    ai_model_id: Annotated[str | None, Field(None, serialization_alias="model")] = None
+    instructions: str | None = None
+    voice: str | None = None
+    input_audio_format: Literal["pcm16", "g711_ulaw", "g711_alaw"] | None = None
+    output_audio_format: Literal["pcm16", "g711_ulaw", "g711_alaw"] | None = None
+    input_audio_transcription: dict[str, Any] | None = None
+    turn_detection: TurnDetection | None = None
+    tools: Annotated[
+        list[dict[str, Any]] | None,
+        Field(
+            description="Do not set this manually. It is set by the service based "
+            "on the function choice configuration.",
+        ),
+    ] = None
+    tool_choice: Annotated[
+        str | None,
+        Field(
+            description="Do not set this manually. It is set by the service based "
+            "on the function choice configuration.",
+        ),
+    ] = None
+    temperature: Annotated[float | None, Field(ge=0.0, le=2.0)] = None
+    max_response_output_tokens: Annotated[int | Literal["inf"] | None, Field(gt=0)] = None
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
new file mode 100644
index 000000000000..23351d7b6176
--- /dev/null
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
@@ -0,0 +1,66 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from collections.abc import Mapping
+
+from openai import AsyncOpenAI
+from pydantic import ValidationError
+
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_config_base import OpenAIConfigBase
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_handler import OpenAIModelTypes
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_base import OpenAIRealtimeBase
+from semantic_kernel.connectors.ai.open_ai.settings.open_ai_settings import OpenAISettings
+from semantic_kernel.exceptions.service_exceptions import ServiceInitializationError
+
+
+class OpenAIRealtime(OpenAIRealtimeBase, OpenAIConfigBase):
+    """OpenAI Realtime service."""
+
+    def __init__(
+        self,
+        ai_model_id: str | None = None,
+        api_key: str | None = None,
+        org_id: str | None = None,
+        service_id: str | None = None,
+        default_headers: Mapping[str, str] | None = None,
+        async_client: AsyncOpenAI | None = None,
+        env_file_path: str | None = None,
+        env_file_encoding: str | None = None,
+    ) -> None:
+        """Initialize an OpenAITextCompletion service.
+
+        Args:
+            ai_model_id (str | None): OpenAI model name, see
+                https://platform.openai.com/docs/models
+            service_id (str | None): Service ID tied to the execution settings.
+            api_key (str | None): The optional API key to use. If provided will override,
+                the env vars or .env file value.
+            org_id (str | None): The optional org ID to use. If provided will override,
+                the env vars or .env file value.
+            default_headers: The default headers mapping of string keys to
+                string values for HTTP requests. (Optional)
+            async_client (Optional[AsyncOpenAI]): An existing client to use. (Optional)
+            env_file_path (str | None): Use the environment settings file as a fallback to
+                environment variables. (Optional)
+            env_file_encoding (str | None): The encoding of the environment settings file. (Optional)
+        """
+        try:
+            openai_settings = OpenAISettings.create(
+                api_key=api_key,
+                org_id=org_id,
+                text_model_id=ai_model_id,
+                env_file_path=env_file_path,
+                env_file_encoding=env_file_encoding,
+            )
+        except ValidationError as ex:
+            raise ServiceInitializationError("Failed to create OpenAI settings.", ex) from ex
+        if not openai_settings.text_model_id:
+            raise ServiceInitializationError("The OpenAI text model ID is required.")
+        super().__init__(
+            ai_model_id=openai_settings.text_model_id,
+            service_id=service_id,
+            api_key=openai_settings.api_key.get_secret_value() if openai_settings.api_key else None,
+            org_id=openai_settings.org_id,
+            ai_model_type=OpenAIModelTypes.TEXT,
+            default_headers=default_headers,
+            client=async_client,
+        )
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
new file mode 100644
index 000000000000..c73f12d7f343
--- /dev/null
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -0,0 +1,294 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import base64
+import logging
+import sys
+from collections.abc import AsyncGenerator, Callable
+from typing import TYPE_CHECKING, Any, ClassVar
+
+if sys.version_info >= (3, 12):
+    from typing import override  # pragma: no cover
+else:
+    from typing_extensions import override  # pragma: no cover
+
+from openai.resources.beta.realtime.realtime import AsyncRealtimeConnection
+from openai.types.beta.realtime.conversation_item_create_event_param import ConversationItemParam
+from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
+from openai.types.beta.realtime.session import Session
+from pydantic import Field
+
+from semantic_kernel.connectors.ai.chat_completion_client_base import ChatCompletionClientBase
+from semantic_kernel.connectors.ai.function_call_choice_configuration import FunctionCallChoiceConfiguration
+from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceType
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_handler import OpenAIHandler
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_utils import (
+    update_settings_from_function_call_configuration,
+)
+from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.contents.audio_content import AudioContent
+from semantic_kernel.contents.chat_message_content import ChatMessageContent
+from semantic_kernel.contents.function_call_content import FunctionCallContent
+from semantic_kernel.contents.function_result_content import FunctionResultContent
+from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
+from semantic_kernel.contents.streaming_text_content import StreamingTextContent
+from semantic_kernel.contents.text_content import TextContent
+from semantic_kernel.contents.utils.author_role import AuthorRole
+from semantic_kernel.kernel import Kernel
+
+if TYPE_CHECKING:
+    from semantic_kernel.contents.chat_history import ChatHistory
+
+logger: logging.Logger = logging.getLogger(__name__)
+
+
+class OpenAIRealtimeBase(OpenAIHandler, ChatCompletionClientBase):
+    """OpenAI Realtime service."""
+
+    SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = True
+    connection: AsyncRealtimeConnection | None = None
+    connected: asyncio.Event = Field(default_factory=asyncio.Event)
+    session: Session | None = None
+
+    def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
+        """Get the request settings class."""
+        from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (  # noqa
+            OpenAIRealtimeExecutionSettings,
+        )
+
+        return OpenAIRealtimeExecutionSettings
+
+    async def _get_connection(self) -> AsyncRealtimeConnection:
+        await self.connected.wait()
+        if not self.connection:
+            raise ValueError("Connection not established")
+        return self.connection
+
+    @override
+    async def _inner_get_streaming_chat_message_contents(
+        self,
+        chat_history: "ChatHistory",
+        settings: "PromptExecutionSettings",
+        function_invoke_attempt: int = 0,
+        **kwargs: Any,
+    ) -> AsyncGenerator[list[StreamingChatMessageContent], Any]:
+        if not isinstance(settings, self.get_prompt_execution_settings_class()):
+            settings = self.get_prompt_execution_settings_from_settings(settings)
+
+        events: list[RealtimeServerEvent] = []
+        detailed_events: dict[str, list[RealtimeServerEvent]] = {}
+        function_calls: list[StreamingChatMessageContent] = []
+
+        async with self.client.beta.realtime.connect(model=self.ai_model_id) as conn:
+            self.connection = conn
+            self.connected.set()
+
+            await conn.session.update(session=settings.prepare_settings_dict())
+            if len(chat_history) > 0:
+                await asyncio.gather(*(self._add_content_to_conversation(msg) for msg in chat_history.messages))
+
+            async for event in conn:
+                events.append(event)
+                detailed_events.setdefault(event.type, []).append(event)
+                match event.type:
+                    case "session.created" | "session.updated":
+                        self.session = event.session
+                        continue
+                    case "error":
+                        logger.error("Error received: %s", event.error)
+                        continue
+                    case "response.audio.delta":
+                        yield [
+                            StreamingChatMessageContent(
+                                role=AuthorRole.ASSISTANT,
+                                items=[AudioContent(data=base64.b64decode(event.delta), data_format="base64")],
+                                choice_index=event.content_index,
+                                inner_content=event,
+                            )
+                        ]
+                        continue
+                    case "response.audio_transcript.delta":
+                        yield [
+                            StreamingChatMessageContent(
+                                role=AuthorRole.ASSISTANT,
+                                items=[StreamingTextContent(text=event.delta, choice_index=event.content_index)],
+                                choice_index=event.content_index,
+                                inner_content=event,
+                            )
+                        ]
+                        continue
+                    case "response.audio_transcript.done":
+                        chat_history.add_message(
+                            StreamingChatMessageContent(
+                                role=AuthorRole.ASSISTANT,
+                                items=[StreamingTextContent(text=event.transcript, choice_index=event.content_index)],
+                                choice_index=event.content_index,
+                                inner_content=event,
+                            )
+                        )
+                    case "response.function_call_arguments.delta":
+                        msg = StreamingChatMessageContent(
+                            role=AuthorRole.ASSISTANT,
+                            items=[
+                                FunctionCallContent(
+                                    id=event.item_id,
+                                    name=event.call_id,
+                                    arguments=event.delta,
+                                    index=event.output_index,
+                                    metadata={"call_id": event.call_id},
+                                )
+                            ],
+                            choice_index=0,
+                            inner_content=event,
+                        )
+                        function_calls.append(msg)
+                        yield [msg]
+                        continue
+                    case "response.function_call_arguments.done":
+                        # execute function, add result to conversation
+                        if len(function_calls) > 0:
+                            function_call = sum(function_calls[1:], function_calls[0])
+                            # execute function
+                            results = []
+                            for item in function_call.items:
+                                if isinstance(item, FunctionCallContent):
+                                    kernel: Kernel | None = kwargs.get("kernel")
+                                    call_id = item.name
+                                    function_name = next(
+                                        output_item_event.item.name
+                                        for output_item_event in detailed_events["response.output_item.added"]
+                                        if output_item_event.item.call_id == call_id
+                                    )
+                                    item.plugin_name, item.function_name = function_name.split("-", 1)
+                                    if kernel:
+                                        await kernel.invoke_function_call(item, chat_history)
+                                        # add result to conversation
+                                        results.append(chat_history.messages[-1])
+                            for message in results:
+                                await self._add_content_to_conversation(content=message)
+                    case _:
+                        logger.debug("Unhandled event type: %s", event.type)
+        logger.debug(f"Finished streaming chat message contents, {len(events)} events received.")
+        for event_type in detailed_events:
+            logger.debug(f"Event type: {event_type}, count: {len(detailed_events[event_type])}")
+
+    async def send_content(
+        self,
+        content: ChatMessageContent | AudioContent | AsyncGenerator[AudioContent, Any],
+        **kwargs: Any,
+    ) -> None:
+        """Send a chat message content to the service.
+
+        This content should contain audio content, either as a ChatMessageContent with a
+        AudioContent item, as AudioContent directly, as or as a generator of AudioContent.
+
+        """
+        if isinstance(content, AudioContent | ChatMessageContent):
+            if isinstance(content, ChatMessageContent):
+                content = next(item for item in content.items if isinstance(item, AudioContent))
+            connection = await self._get_connection()
+            await connection.input_audio_buffer.append(audio=content.data.decode("utf-8"))
+            await asyncio.sleep(0)
+            return
+
+        async for audio_content in content:
+            if isinstance(audio_content, ChatMessageContent):
+                audio_content = next(item for item in audio_content.items if isinstance(item, AudioContent))
+            connection = await self._get_connection()
+            await connection.input_audio_buffer.append(audio=audio_content.data.decode("utf-8"))
+            await asyncio.sleep(0)
+
+    async def commit_content(self, settings: "PromptExecutionSettings") -> None:
+        """Commit the chat message content to the service.
+
+        This is only needed when turn detection is not handled by the service.
+
+        This behavior is determined by the turn_detection parameter in the settings.
+        If turn_detection is None, then it will commit the audio buffer and
+        ask the service to process the audio and create the response.
+        """
+        if not isinstance(settings, self.get_prompt_execution_settings_class()):
+            settings = self.get_prompt_execution_settings_from_settings(settings)
+        if not settings.turn_detection:
+            connection = await self._get_connection()
+            await connection.input_audio_buffer.commit()
+            await connection.response.create()
+
+    @override
+    def _update_function_choice_settings_callback(
+        self,
+    ) -> Callable[[FunctionCallChoiceConfiguration, "PromptExecutionSettings", FunctionChoiceType], None]:
+        return update_settings_from_function_call_configuration
+
+    async def _streaming_function_call_result_callback(
+        self, function_result_messages: list[StreamingChatMessageContent]
+    ) -> None:
+        """Callback to handle the streaming function call result messages.
+
+        Override this method to handle the streaming function call result messages.
+
+        Args:
+            function_result_messages (list): The streaming function call result messages.
+        """
+        for msg in function_result_messages:
+            await self._add_content_to_conversation(msg)
+
+    async def _add_content_to_conversation(self, content: ChatMessageContent) -> None:
+        """Add an item to the conversation."""
+        connection = await self._get_connection()
+        for item in content.items:
+            match item:
+                case AudioContent():
+                    await connection.conversation.item.create(
+                        item=ConversationItemParam(
+                            type="message",
+                            content=[
+                                {
+                                    "type": "input_audio",
+                                    "audio": item.data.decode("utf-8"),
+                                }
+                            ],
+                            role="user",
+                        )
+                    )
+                case TextContent():
+                    await connection.conversation.item.create(
+                        item=ConversationItemParam(
+                            type="message",
+                            content=[
+                                {
+                                    "type": "input_text",
+                                    "text": item.text,
+                                }
+                            ],
+                            role="user",
+                        )
+                    )
+                case FunctionCallContent():
+                    call_id = item.metadata.get("call_id")
+                    if not call_id:
+                        logger.error("Function call needs to have a call_id")
+                        continue
+                    await connection.conversation.item.create(
+                        item=ConversationItemParam(
+                            type="function_call",
+                            name=item.name,
+                            arguments=item.arguments,
+                            call_id=call_id,
+                        )
+                    )
+                case FunctionResultContent():
+                    call_id = item.metadata.get("call_id")
+                    if not call_id:
+                        logger.error("Function result needs to have a call_id")
+                        continue
+                    await connection.conversation.item.create(
+                        item=ConversationItemParam(
+                            type="function_call_output",
+                            output=item.result,
+                            call_id=call_id,
+                        )
+                    )
+                case _:
+                    logger.debug("Unhandled item type: %s", item.__class__.__name__)
+                    continue
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_utils.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_utils.py
new file mode 100644
index 000000000000..ada8d42924c0
--- /dev/null
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_utils.py
@@ -0,0 +1,47 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from typing import TYPE_CHECKING, Any
+
+if TYPE_CHECKING:
+    from semantic_kernel.connectors.ai.function_choice_behavior import (
+        FunctionCallChoiceConfiguration,
+        FunctionChoiceType,
+    )
+    from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+    from semantic_kernel.functions.kernel_function_metadata import KernelFunctionMetadata
+
+
+def update_settings_from_function_call_configuration(
+    function_choice_configuration: "FunctionCallChoiceConfiguration",
+    settings: "PromptExecutionSettings",
+    type: "FunctionChoiceType",
+) -> None:
+    """Update the settings from a FunctionChoiceConfiguration."""
+    if (
+        function_choice_configuration.available_functions
+        and hasattr(settings, "tool_choice")
+        and hasattr(settings, "tools")
+    ):
+        settings.tool_choice = type
+        settings.tools = [
+            kernel_function_metadata_to_function_call_format(f)
+            for f in function_choice_configuration.available_functions
+        ]
+
+
+def kernel_function_metadata_to_function_call_format(
+    metadata: "KernelFunctionMetadata",
+) -> dict[str, Any]:
+    """Convert the kernel function metadata to function calling format."""
+    return {
+        "type": "function",
+        "name": metadata.fully_qualified_name,
+        "description": metadata.description or "",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                param.name: param.schema_data for param in metadata.parameters if param.include_in_function_choices
+            },
+            "required": [p.name for p in metadata.parameters if p.is_required and p.include_in_function_choices],
+        },
+    }
diff --git a/python/semantic_kernel/connectors/ai/realtime_client_base.py b/python/semantic_kernel/connectors/ai/realtime_client_base.py
new file mode 100644
index 000000000000..734e7e7caed4
--- /dev/null
+++ b/python/semantic_kernel/connectors/ai/realtime_client_base.py
@@ -0,0 +1,51 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+
+from abc import ABC, abstractmethod
+from collections.abc import AsyncGenerator
+from typing import Any
+
+from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.contents.audio_content import AudioContent
+from semantic_kernel.contents.text_content import TextContent
+from semantic_kernel.services.ai_service_client_base import AIServiceClientBase
+
+
+class RealtimeClientBase(AIServiceClientBase, ABC):
+    """Base class for audio to text client."""
+
+    @abstractmethod
+    async def receive(
+        self,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> AsyncGenerator[TextContent | AudioContent, Any]:
+        """Get text contents from audio.
+
+        Args:
+            settings: Prompt execution settings.
+            kwargs: Additional arguments.
+
+        Returns:
+            list[TextContent | AudioContent]: response contents.
+        """
+        raise NotImplementedError
+
+    @abstractmethod
+    async def send(
+        self,
+        audio_content: AudioContent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Get text content from audio.
+
+        Args:
+            audio_content: Audio content.
+            settings: Prompt execution settings.
+            kwargs: Additional arguments.
+
+        Returns:
+            TextContent: Text content.
+        """
+        raise NotImplementedError
diff --git a/python/semantic_kernel/contents/chat_message_content.py b/python/semantic_kernel/contents/chat_message_content.py
index b369038cdceb..f186bbd65473 100644
--- a/python/semantic_kernel/contents/chat_message_content.py
+++ b/python/semantic_kernel/contents/chat_message_content.py
@@ -10,6 +10,7 @@
 from pydantic import Field
 
 from semantic_kernel.contents.annotation_content import AnnotationContent
+from semantic_kernel.contents.audio_content import AudioContent
 from semantic_kernel.contents.const import (
     ANNOTATION_CONTENT_TAG,
     CHAT_MESSAGE_CONTENT_TAG,
@@ -55,6 +56,7 @@
     | FileReferenceContent
     | StreamingAnnotationContent
     | StreamingFileReferenceContent
+    | AudioContent
 )
 
 logger = logging.getLogger(__name__)
diff --git a/python/semantic_kernel/contents/function_call_content.py b/python/semantic_kernel/contents/function_call_content.py
index 08b9c9e19757..9264e6f46597 100644
--- a/python/semantic_kernel/contents/function_call_content.py
+++ b/python/semantic_kernel/contents/function_call_content.py
@@ -124,6 +124,7 @@ def __add__(self, other: "FunctionCallContent | None") -> "FunctionCallContent":
             index=self.index or other.index,
             name=self.name or other.name,
             arguments=self.combine_arguments(self.arguments, other.arguments),
+            metadata=self.metadata | other.metadata,
         )
 
     def combine_arguments(
diff --git a/python/semantic_kernel/contents/streaming_chat_message_content.py b/python/semantic_kernel/contents/streaming_chat_message_content.py
index 683b498d0c69..2e40d16846a4 100644
--- a/python/semantic_kernel/contents/streaming_chat_message_content.py
+++ b/python/semantic_kernel/contents/streaming_chat_message_content.py
@@ -6,6 +6,7 @@
 
 from pydantic import Field
 
+from semantic_kernel.contents.audio_content import AudioContent
 from semantic_kernel.contents.chat_message_content import ChatMessageContent
 from semantic_kernel.contents.function_call_content import FunctionCallContent
 from semantic_kernel.contents.function_result_content import FunctionResultContent
@@ -19,6 +20,7 @@
 from semantic_kernel.exceptions import ContentAdditionException
 
 ITEM_TYPES = Union[
+    AudioContent,
     ImageContent,
     StreamingTextContent,
     FunctionCallContent,
diff --git a/python/tests/unit/contents/test_audio_content.py b/python/tests/unit/contents/test_audio_content.py
new file mode 100644
index 000000000000..2af5a99b9e29
--- /dev/null
+++ b/python/tests/unit/contents/test_audio_content.py
@@ -0,0 +1,60 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import os
+
+import pytest
+
+from semantic_kernel.contents.audio_content import AudioContent
+
+test_cases = [
+    pytest.param(AudioContent(uri="http://test_uri"), id="uri"),
+    pytest.param(AudioContent(data=b"test_data", mime_type="image/jpeg", data_format="base64"), id="data"),
+    pytest.param(AudioContent(uri="http://test_uri", data=b"test_data", mime_type="image/jpeg"), id="both"),
+    pytest.param(
+        AudioContent.from_image_path(
+            image_path=os.path.join(os.path.dirname(__file__), "../../", "assets/sample_image.jpg")
+        ),
+        id="image_file",
+    ),
+]
+
+
+def test_create_uri():
+    image = AudioContent(uri="http://test_uri")
+    assert str(image.uri) == "http://test_uri/"
+
+
+def test_create_file_from_path():
+    image_path = os.path.join(os.path.dirname(__file__), "../../", "assets/sample_image.jpg")
+    image = AudioContent.from_image_path(image_path=image_path)
+    assert image.mime_type == "image/jpeg"
+    assert image.data_uri.startswith("data:image/jpeg;")
+    assert image.data is not None
+
+
+def test_create_data():
+    image = AudioContent(data=b"test_data", mime_type="image/jpeg")
+    assert image.mime_type == "image/jpeg"
+    assert image.data == b"test_data"
+
+
+def test_to_str_uri():
+    image = AudioContent(uri="http://test_uri")
+    assert str(image) == "http://test_uri/"
+
+
+def test_to_str_data():
+    image = AudioContent(data=b"test_data", mime_type="image/jpeg", data_format="base64")
+    assert str(image) == "data:image/jpeg;base64,dGVzdF9kYXRh"
+
+
+@pytest.mark.parametrize("image", test_cases)
+def test_element_roundtrip(image):
+    element = image.to_element()
+    new_image = AudioContent.from_element(element)
+    assert new_image == image
+
+
+@pytest.mark.parametrize("image", test_cases)
+def test_to_dict(image):
+    assert image.to_dict() == {"type": "image_url", "image_url": {"url": str(image)}}
diff --git a/python/uv.lock b/python/uv.lock
index 807cba06687a..9aef4c75178b 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -22,7 +22,7 @@ supported-markers = [
 
 [[package]]
 name = "accelerate"
-version = "1.2.0"
+version = "1.2.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -33,9 +33,9 @@ dependencies = [
     { name = "safetensors", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "torch", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d5/8e/a9827d6df00381f4815ddf84d79bb089783a569e29665e4cf03e808ddebc/accelerate-1.2.0.tar.gz", hash = "sha256:4187a9dea21101255ada3a1974532585feeb6ca8b681693dba362d6d25e85ef2", size = 341495 }
+sdist = { url = "https://files.pythonhosted.org/packages/42/09/7947691b7d44bfc739da4a44cc47d6a6d75e6fe9adf047c5234d7cb6be64/accelerate-1.2.1.tar.gz", hash = "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5", size = 341652 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7b/92/e3f810d0910a71979fe7341803e187cbf85e2b50146c8aa3796eb7bc51b4/accelerate-1.2.0-py3-none-any.whl", hash = "sha256:815708367eb83cd682e120da634b2cf318729bff95f30e2f046c086aae20201e", size = 336311 },
+    { url = "https://files.pythonhosted.org/packages/c2/60/a585c806d6c0ec5f8149d44eb202714792802f484e6e2b1bf96b23bd2b00/accelerate-1.2.1-py3-none-any.whl", hash = "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf", size = 336355 },
 ]
 
 [[package]]
@@ -49,7 +49,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.10"
+version = "3.11.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -61,80 +61,80 @@ dependencies = [
     { name = "propcache", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "yarl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/94/c4/3b5a937b16f6c2a0ada842a9066aad0b7a5708427d4a202a07bf09c67cbb/aiohttp-3.11.10.tar.gz", hash = "sha256:b1fc6b45010a8d0ff9e88f9f2418c6fd408c99c211257334aff41597ebece42e", size = 7668832 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/47/f2/ba44492f257a296c4bb910bf47acf41672421fd455540911b3f13d10d6cd/aiohttp-3.11.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cbad88a61fa743c5d283ad501b01c153820734118b65aee2bd7dbb735475ce0d", size = 708322 },
-    { url = "https://files.pythonhosted.org/packages/2b/c7/22b0ed548c8660e978e736671f166907fb272d0a4281b2b6833310bce529/aiohttp-3.11.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:80886dac673ceaef499de2f393fc80bb4481a129e6cb29e624a12e3296cc088f", size = 468211 },
-    { url = "https://files.pythonhosted.org/packages/c9/0b/d326251888bb86ff7cb00b171e1cf3b0f0ed695622857f84a98bbc5f254b/aiohttp-3.11.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:61b9bae80ed1f338c42f57c16918853dc51775fb5cb61da70d590de14d8b5fb4", size = 455370 },
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     { name = "platformdirs", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/bf/75/53316a5a8050069228a2f6d11f32046cfa94fbb6cc3f08703f59b873de2e/virtualenv-20.28.0.tar.gz", hash = "sha256:2c9c3262bb8e7b87ea801d715fae4495e6032450c71d2309be9550e7364049aa", size = 7650368 }
+sdist = { url = "https://files.pythonhosted.org/packages/50/39/689abee4adc85aad2af8174bb195a819d0be064bf55fcc73b49d2b28ae77/virtualenv-20.28.1.tar.gz", hash = "sha256:5d34ab240fdb5d21549b76f9e8ff3af28252f5499fb6d6f031adac4e5a8c5329", size = 7650532 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/10/f9/0919cf6f1432a8c4baa62511f8f8da8225432d22e83e3476f5be1a1edc6e/virtualenv-20.28.0-py3-none-any.whl", hash = "sha256:23eae1b4516ecd610481eda647f3a7c09aea295055337331bb4e6892ecce47b0", size = 4276702 },
+    { url = "https://files.pythonhosted.org/packages/51/8f/dfb257ca6b4e27cb990f1631142361e4712badab8e3ca8dc134d96111515/virtualenv-20.28.1-py3-none-any.whl", hash = "sha256:412773c85d4dab0409b83ec36f7a6499e72eaf08c80e81e9576bca61831c71cb", size = 4276719 },
 ]
 
 [[package]]
@@ -5792,7 +5815,7 @@ wheels = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.10.0"
+version = "4.10.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "authlib", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -5803,9 +5826,9 @@ dependencies = [
     { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "validators", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/eb/54/a4302872c82bfdd779fe15cb39b6b51de7003a6e76e70b7a6e5c6a32c140/weaviate_client-4.10.0.tar.gz", hash = "sha256:15fb71cae2ab99d8eeddeaeeb0422702ad5fda369f32338dbee366ff7cfbf88a", size = 588965 }
+sdist = { url = "https://files.pythonhosted.org/packages/e8/80/5e36a1923d0bc01a6151f1cfb1550da83efec340cded1c4f885615e09575/weaviate_client-4.10.2.tar.gz", hash = "sha256:fde5ad8e36604674d26b115288b58a7e182c91e36c2b41a00d18a36fe4ec7e3f", size = 587835 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/80/d5/e3e4c67d444b7ac30e44d6ff3f98d61aa2fb311247937c8e8f3820efc8b4/weaviate_client-4.10.0-py3-none-any.whl", hash = "sha256:c169f949a86fecc42dfeddab13b2d7a4b5f6ea7190db528713ebb5c99ab8fc86", size = 325448 },
+    { url = "https://files.pythonhosted.org/packages/80/ca/9f2f1f27a05bfe90cb35a6dacaa547ad5a133211aeca7bb0021e2bbabb06/weaviate_client-4.10.2-py3-none-any.whl", hash = "sha256:e1706438aa7b57be5443bbdebff206cc6688110d1669d54c2721b3aa640b2c4c", size = 325368 },
 ]
 
 [[package]]

From e897279bc5a60c1c7a990d9f149fab2130ecbe3b Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Thu, 9 Jan 2025 16:47:12 +0100
Subject: [PATCH 02/15] major update

---
 python/pyproject.toml                         |   5 +-
 .../audio/04-chat_with_realtime_api.py        | 176 +++--
 python/samples/concepts/audio/audio_player.py |   2 +-
 .../concepts/audio/audio_player_async.py      |   4 +-
 .../concepts/audio/audio_recorder_stream.py   |   3 +-
 .../ai/chat_completion_client_base.py         |  12 -
 .../connectors/ai/function_calling_utils.py   |  50 ++
 .../connectors/ai/open_ai/__init__.py         |   8 +
 .../open_ai/services/open_ai_realtime_base.py | 614 +++++++++++-------
 .../connectors/ai/realtime_client_base.py     | 131 +++-
 .../tests/unit/contents/test_audio_content.py |  60 --
 python/uv.lock                                | 555 +++++++---------
 12 files changed, 918 insertions(+), 702 deletions(-)
 delete mode 100644 python/tests/unit/contents/test_audio_content.py

diff --git a/python/pyproject.toml b/python/pyproject.toml
index 787dc9a4b0a4..87af8b700793 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -124,10 +124,7 @@ dapr = [
     "flask-dapr>=1.14.0"
 ]
 openai_realtime = [
-    "openai[realtime] ~= 1.0",
-    "pyaudio",
-    "pydub",
-    "sounddevice"
+    "openai[realtime] ~= 1.0"
 ]
 
 [tool.uv]
diff --git a/python/samples/concepts/audio/04-chat_with_realtime_api.py b/python/samples/concepts/audio/04-chat_with_realtime_api.py
index 4440d13b8eec..bffbad691716 100644
--- a/python/samples/concepts/audio/04-chat_with_realtime_api.py
+++ b/python/samples/concepts/audio/04-chat_with_realtime_api.py
@@ -3,51 +3,60 @@
 import contextlib
 import logging
 import signal
+from typing import Any
 
-from samples.concepts.audio.audio_player_async import AudioPlayerAsync
+from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
 
-# This simple sample demonstrates how to use the OpenAI Realtime API to create
-# a chat bot that can listen and respond directly through audio.
-# It requires installing semantic-kernel[openai_realtime] which includes the
-# OpenAI Realtime API client and some packages for handling audio locally.
-# It has hardcoded device id's set in the AudioRecorderStream and AudioPlayerAsync classes,
-# so you may need to adjust these for your system.
+from samples.concepts.audio.audio_player_async import AudioPlayerAsync
 from samples.concepts.audio.audio_recorder_stream import AudioRecorderStream
 from semantic_kernel import Kernel
 from semantic_kernel.connectors.ai import FunctionChoiceBehavior
-from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (
+from semantic_kernel.connectors.ai.open_ai import (
+    OpenAIRealtime,
     OpenAIRealtimeExecutionSettings,
     TurnDetection,
 )
-from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime import OpenAIRealtime
+from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.connectors.ai.realtime_client_base import RealtimeClientBase
 from semantic_kernel.contents import AudioContent, ChatHistory, StreamingTextContent
 from semantic_kernel.functions import kernel_function
 
 logging.basicConfig(level=logging.WARNING)
 logger = logging.getLogger(__name__)
 
+# This simple sample demonstrates how to use the OpenAI Realtime API to create
+# a chat bot that can listen and respond directly through audio.
+# It requires installing:
+# - semantic-kernel[openai_realtime]
+# - pyaudio
+# - sounddevice
+# - pydub
+# e.g. pip install semantic-kernel[openai_realtime] pyaudio sounddevice pydub
+
+# The characterics of your speaker and microphone are a big factor in a smooth conversation
+# so you may need to try out different devices for each.
+# you can also play around with the turn_detection settings to get the best results.
+# It has device id's set in the AudioRecorderStream and AudioPlayerAsync classes,
+# so you may need to adjust these for your system.
+# you can check the available devices by uncommenting line below the function
+
 
-def signal_handler():
-    for task in asyncio.all_tasks():
-        task.cancel()
+def check_audio_devices():
+    import sounddevice as sd  # type: ignore
 
+    print(sd.query_devices())
 
-system_message = """
-You are a chat bot. Your name is Mosscap and
-you have one goal: figure out what people need.
-Your full name, should you need to know it, is
-Splendid Speckled Mosscap. You communicate
-effectively, but you tend to answer with long
-flowery prose.
-"""
 
-history = ChatHistory()
-history.add_user_message("Hi there, who are you?")
-history.add_assistant_message("I am Mosscap, a chat bot. I'm trying to figure out what people need.")
+# check_audio_devices()
 
 
 class Speaker:
-    def __init__(self, audio_player: AudioPlayerAsync, realtime_client: OpenAIRealtime, kernel: Kernel):
+    """This is a simple class that opens the session with the realtime api and plays the audio response.
+
+    At the same time it prints the transcript of the conversation to the console.
+    """
+
+    def __init__(self, audio_player: AudioPlayerAsync, realtime_client: RealtimeClientBase, kernel: Kernel):
         self.audio_player = audio_player
         self.realtime_client = realtime_client
         self.kernel = kernel
@@ -56,42 +65,63 @@ async def play(
         self,
         chat_history: ChatHistory,
         settings: OpenAIRealtimeExecutionSettings,
+        print_transcript: bool = True,
     ) -> None:
+        # reset the frame count for the audio player
         self.audio_player.reset_frame_count()
-        print("Mosscap (transcript): ", end="")
-        try:
-            async for content in self.realtime_client.get_streaming_chat_message_content(
-                chat_history=chat_history, settings=settings, kernel=self.kernel
-            ):
-                if not content:
-                    continue
-                for item in content.items:
-                    match item:
-                        case StreamingTextContent():
-                            print(item.text, end="")
-                            await asyncio.sleep(0.01)
-                            continue
-                        case AudioContent():
-                            self.audio_player.add_data(item.data)
-                            await asyncio.sleep(0.01)
-                            continue
-        except asyncio.CancelledError:
-            print("\nThanks for talking to Mosscap!")
+        # open the connection to the realtime api
+        async with self.realtime_client as client:
+            # update the session with the chat_history and settings
+            await client.update_session(settings=settings, chat_history=chat_history)
+            # print the start message of the transcript
+            if print_transcript:
+                print("Mosscap (transcript): ", end="")
+            try:
+                # start listening for events
+                async for content in self.realtime_client.event_listener(settings=settings, kernel=self.kernel):
+                    if not content:
+                        continue
+                    # the contents returned should be StreamingChatMessageContent
+                    # so we will loop through the items within it.
+                    for item in content.items:
+                        match item:
+                            case StreamingTextContent():
+                                if print_transcript:
+                                    print(item.text, end="")
+                                await asyncio.sleep(0.01)
+                                continue
+                            case AudioContent():
+                                self.audio_player.add_data(item.data)
+                                await asyncio.sleep(0.01)
+                                continue
+            except asyncio.CancelledError:
+                print("\nThanks for talking to Mosscap!")
 
 
 class Microphone:
-    def __init__(self, audio_recorder: AudioRecorderStream, realtime_client: OpenAIRealtime):
+    """This is a simple class that opens the microphone and sends the audio to the realtime api."""
+
+    def __init__(self, audio_recorder: AudioRecorderStream, realtime_client: RealtimeClientBase):
         self.audio_recorder = audio_recorder
         self.realtime_client = realtime_client
 
     async def record_audio(self):
         with contextlib.suppress(asyncio.CancelledError):
-            async for audio in self.audio_recorder.stream_audio_content():
-                if audio.data:
-                    await self.realtime_client.send_content(content=audio)
+            async for content in self.audio_recorder.stream_audio_content():
+                if content.data:
+                    await self.realtime_client.send_event(
+                        "input_audio_buffer.append",
+                        content=content,
+                    )
                 await asyncio.sleep(0.01)
 
 
+# this function is used to stop the processes when ctrl + c is pressed
+def signal_handler():
+    for task in asyncio.all_tasks():
+        task.cancel()
+
+
 @kernel_function
 def get_weather(location: str) -> str:
     """Get the weather for a location."""
@@ -99,23 +129,59 @@ def get_weather(location: str) -> str:
     return f"The weather in {location} is sunny."
 
 
+def response_created_callback(
+    event: RealtimeServerEvent, settings: PromptExecutionSettings | None = None, **kwargs: Any
+) -> None:
+    """Add a empty print to start a new line for a new response."""
+    print("")
+
+
 async def main() -> None:
+    # setup the asyncio loop with the signal event handler
     loop = asyncio.get_event_loop()
     loop.add_signal_handler(signal.SIGINT, signal_handler)
+
+    # create the Kernel and add a simple function for function calling.
+    kernel = Kernel()
+    kernel.add_function(plugin_name="weather", function_name="get_weather", function=get_weather)
+
+    # create the realtime client and register the response created callback
+    realtime_client = OpenAIRealtime(ai_model_id="gpt-4o-realtime-preview-2024-12-17")
+    realtime_client.register_event_handler("response.created", response_created_callback)
+
+    # create the speaker and microphone
+    speaker = Speaker(AudioPlayerAsync(device_id=7), realtime_client, kernel)
+    microphone = Microphone(AudioRecorderStream(device_id=2), realtime_client)
+
+    # Create the settings for the session
+    # the key thing to decide on is to enable the server_vad turn detection
+    # if turn is turned off (by setting turn_detection=None), you will have to send
+    # the "input_audio_buffer.commit" and "response.create" event to the realtime api
+    # to signal the end of the user's turn and start the response.
+
+    # The realtime api, does not use a system message, but takes instructions as a parameter for a session
+    instructions = """
+    You are a chat bot. Your name is Mosscap and
+    you have one goal: figure out what people need.
+    Your full name, should you need to know it, is
+    Splendid Speckled Mosscap. You communicate
+    effectively, but you tend to answer with long
+    flowery prose.
+    """
+    # but we can add a chat history to conversation after starting it
+    chat_history = ChatHistory()
+    chat_history.add_user_message("Hi there, who are you?")
+    chat_history.add_assistant_message("I am Mosscap, a chat bot. I'm trying to figure out what people need.")
+
     settings = OpenAIRealtimeExecutionSettings(
-        instructions=system_message,
+        instructions=instructions,
         voice="sage",
         turn_detection=TurnDetection(type="server_vad", create_response=True, silence_duration_ms=800, threshold=0.8),
         function_choice_behavior=FunctionChoiceBehavior.Auto(),
     )
-    realtime_client = OpenAIRealtime(ai_model_id="gpt-4o-realtime-preview-2024-12-17")
-    kernel = Kernel()
-    kernel.add_function(plugin_name="weather", function_name="get_weather", function=get_weather)
-
-    speaker = Speaker(AudioPlayerAsync(), realtime_client, kernel)
-    microphone = Microphone(AudioRecorderStream(), realtime_client)
+    # start the the speaker and the microphone
     with contextlib.suppress(asyncio.CancelledError):
-        await asyncio.gather(*[speaker.play(history, settings), microphone.record_audio()])
+        await asyncio.gather(*[speaker.play(chat_history, settings), microphone.record_audio()])
 
 
 if __name__ == "__main__":
diff --git a/python/samples/concepts/audio/audio_player.py b/python/samples/concepts/audio/audio_player.py
index 036b978dcff1..b10c15184821 100644
--- a/python/samples/concepts/audio/audio_player.py
+++ b/python/samples/concepts/audio/audio_player.py
@@ -20,7 +20,7 @@ class AudioPlayer(BaseModel):
     # Audio replay parameters
     CHUNK: ClassVar[int] = 1024
 
-    audio_content: AudioContent | None = None
+    audio_content: AudioContent
 
     def play(self, text: str | None = None) -> None:
         """Play the audio content to the default audio output device.
diff --git a/python/samples/concepts/audio/audio_player_async.py b/python/samples/concepts/audio/audio_player_async.py
index 9ae424b01c66..a77b8df6e32c 100644
--- a/python/samples/concepts/audio/audio_player_async.py
+++ b/python/samples/concepts/audio/audio_player_async.py
@@ -13,7 +13,7 @@
 
 
 class AudioPlayerAsync:
-    def __init__(self):
+    def __init__(self, device_id: int | None = None):
         self.queue = []
         self.lock = threading.Lock()
         self.stream = sd.OutputStream(
@@ -22,7 +22,7 @@ def __init__(self):
             channels=CHANNELS,
             dtype=np.int16,
             blocksize=int(CHUNK_LENGTH_S * SAMPLE_RATE),
-            device=3,
+            device=device_id,
         )
         self.playing = False
         self._frame_count = 0
diff --git a/python/samples/concepts/audio/audio_recorder_stream.py b/python/samples/concepts/audio/audio_recorder_stream.py
index 99ac1a9f8141..55684e9c469b 100644
--- a/python/samples/concepts/audio/audio_recorder_stream.py
+++ b/python/samples/concepts/audio/audio_recorder_stream.py
@@ -28,6 +28,7 @@ class AudioRecorderStream(BaseModel):
     CHANNELS: ClassVar[int] = 1
     SAMPLE_RATE: ClassVar[int] = 24000
     CHUNK_LENGTH_S: ClassVar[float] = 0.05
+    device_id: int | None = None
 
     async def stream_audio_content(self) -> AsyncGenerator[AudioContent, None]:
         import sounddevice as sd  # type: ignore
@@ -41,7 +42,7 @@ async def stream_audio_content(self) -> AsyncGenerator[AudioContent, None]:
             channels=self.CHANNELS,
             samplerate=self.SAMPLE_RATE,
             dtype="int16",
-            device=4,
+            device=self.device_id,
         )
         stream.start()
         try:
diff --git a/python/semantic_kernel/connectors/ai/chat_completion_client_base.py b/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
index a44f83b9d792..621f9153d5e0 100644
--- a/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
+++ b/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
@@ -451,16 +451,4 @@ def _yield_function_result_messages(self, function_result_messages: list) -> boo
         """
         return len(function_result_messages) > 0 and len(function_result_messages[0].items) > 0
 
-    async def _streaming_function_call_result_callback(
-        self, function_result_messages: list["ChatMessageContent"]
-    ) -> None:
-        """Callback to handle the streaming function call result messages.
-
-        Override this method to handle the streaming function call result messages.
-
-        Args:
-            function_result_messages (list): The streaming function call result messages.
-        """
-        return
-
     # endregion
diff --git a/python/semantic_kernel/connectors/ai/function_calling_utils.py b/python/semantic_kernel/connectors/ai/function_calling_utils.py
index c7ab3dba6b39..f9615c4893dc 100644
--- a/python/semantic_kernel/connectors/ai/function_calling_utils.py
+++ b/python/semantic_kernel/connectors/ai/function_calling_utils.py
@@ -1,6 +1,8 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 from collections import OrderedDict
+from collections.abc import Callable
+from copy import deepcopy
 from typing import TYPE_CHECKING, Any
 
 from semantic_kernel.contents.chat_message_content import ChatMessageContent
@@ -8,6 +10,7 @@
 from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
 from semantic_kernel.contents.utils.author_role import AuthorRole
 from semantic_kernel.exceptions.service_exceptions import ServiceInitializationError
+from semantic_kernel.utils.experimental_decorator import experimental_function
 
 if TYPE_CHECKING:
     from semantic_kernel.connectors.ai.function_choice_behavior import (
@@ -16,6 +19,7 @@
     )
     from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
     from semantic_kernel.functions.kernel_function_metadata import KernelFunctionMetadata
+    from semantic_kernel.kernel import Kernel
 
 
 def update_settings_from_function_call_configuration(
@@ -129,3 +133,49 @@ def merge_streaming_function_results(
             function_invoke_attempt=function_invoke_attempt,
         )
     ]
+
+
+@experimental_function
+def prepare_settings_for_function_calling(
+    settings: "PromptExecutionSettings",
+    settings_class: type["PromptExecutionSettings"],
+    update_settings_callback: Callable[..., None],
+    kernel: "Kernel",
+) -> "PromptExecutionSettings":
+    """Prepare settings for the service.
+
+    Args:
+        settings: Prompt execution settings.
+        settings_class: The settings class.
+        update_settings_callback: The callback to update the settings.
+        kernel: Kernel instance.
+
+    Returns:
+        PromptExecutionSettings of type settings_class.
+    """
+    settings = deepcopy(settings)
+    if not isinstance(settings, settings_class):
+        settings = settings_class.from_prompt_execution_settings(settings)
+
+    # For backwards compatibility we need to convert the `FunctionCallBehavior` to `FunctionChoiceBehavior`
+    # if this method is called with a `FunctionCallBehavior` object as part of the settings
+
+    from semantic_kernel.connectors.ai.function_call_behavior import FunctionCallBehavior
+    from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceBehavior
+
+    if hasattr(settings, "function_call_behavior") and isinstance(
+        settings.function_call_behavior, FunctionCallBehavior
+    ):
+        settings.function_choice_behavior = FunctionChoiceBehavior.from_function_call_behavior(
+            settings.function_call_behavior
+        )
+
+    if settings.function_choice_behavior:
+        # Configure the function choice behavior into the settings object
+        # that will become part of the request to the AI service
+        settings.function_choice_behavior.configure(
+            kernel=kernel,
+            update_settings_callback=update_settings_callback,
+            settings=settings,
+        )
+    return settings
diff --git a/python/semantic_kernel/connectors/ai/open_ai/__init__.py b/python/semantic_kernel/connectors/ai/open_ai/__init__.py
index a3103ae86446..27d36ea30d34 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/__init__.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/__init__.py
@@ -22,6 +22,10 @@
     OpenAIPromptExecutionSettings,
     OpenAITextPromptExecutionSettings,
 )
+from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (
+    OpenAIRealtimeExecutionSettings,
+    TurnDetection,
+)
 from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_text_to_audio_execution_settings import (
     OpenAITextToAudioExecutionSettings,
 )
@@ -36,6 +40,7 @@
 from semantic_kernel.connectors.ai.open_ai.services.azure_text_to_image import AzureTextToImage
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_audio_to_text import OpenAIAudioToText
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_chat_completion import OpenAIChatCompletion
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime import OpenAIRealtime
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_text_completion import OpenAITextCompletion
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_text_embedding import OpenAITextEmbedding
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_text_to_audio import OpenAITextToAudio
@@ -69,6 +74,8 @@
     "OpenAIChatPromptExecutionSettings",
     "OpenAIEmbeddingPromptExecutionSettings",
     "OpenAIPromptExecutionSettings",
+    "OpenAIRealtime",
+    "OpenAIRealtimeExecutionSettings",
     "OpenAISettings",
     "OpenAITextCompletion",
     "OpenAITextEmbedding",
@@ -77,4 +84,5 @@
     "OpenAITextToAudioExecutionSettings",
     "OpenAITextToImage",
     "OpenAITextToImageExecutionSettings",
+    "TurnDetection",
 ]
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
index c73f12d7f343..4175d9449b2e 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -4,8 +4,10 @@
 import base64
 import logging
 import sys
-from collections.abc import AsyncGenerator, Callable
-from typing import TYPE_CHECKING, Any, ClassVar
+from collections.abc import AsyncGenerator
+from enum import Enum
+from inspect import isawaitable
+from typing import Any, ClassVar, Protocol, runtime_checkable
 
 if sys.version_info >= (3, 12):
     from typing import override  # pragma: no cover
@@ -15,19 +17,14 @@
 from openai.resources.beta.realtime.realtime import AsyncRealtimeConnection
 from openai.types.beta.realtime.conversation_item_create_event_param import ConversationItemParam
 from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
-from openai.types.beta.realtime.session import Session
 from pydantic import Field
 
-from semantic_kernel.connectors.ai.chat_completion_client_base import ChatCompletionClientBase
-from semantic_kernel.connectors.ai.function_call_choice_configuration import FunctionCallChoiceConfiguration
-from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceType
+from semantic_kernel.connectors.ai.function_calling_utils import prepare_settings_for_function_calling
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_handler import OpenAIHandler
-from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_utils import (
-    update_settings_from_function_call_configuration,
-)
 from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.connectors.ai.realtime_client_base import RealtimeClientBase
 from semantic_kernel.contents.audio_content import AudioContent
-from semantic_kernel.contents.chat_message_content import ChatMessageContent
+from semantic_kernel.contents.chat_history import ChatHistory
 from semantic_kernel.contents.function_call_content import FunctionCallContent
 from semantic_kernel.contents.function_result_content import FunctionResultContent
 from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
@@ -35,260 +32,401 @@
 from semantic_kernel.contents.text_content import TextContent
 from semantic_kernel.contents.utils.author_role import AuthorRole
 from semantic_kernel.kernel import Kernel
-
-if TYPE_CHECKING:
-    from semantic_kernel.contents.chat_history import ChatHistory
+from semantic_kernel.utils.experimental_decorator import experimental_class
 
 logger: logging.Logger = logging.getLogger(__name__)
 
 
-class OpenAIRealtimeBase(OpenAIHandler, ChatCompletionClientBase):
+@runtime_checkable
+@experimental_class
+class EventCallBackProtocolAsync(Protocol):
+    """Event callback protocol."""
+
+    async def __call__(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool] | None:
+        """Call the event callback."""
+        ...
+
+
+@runtime_checkable
+@experimental_class
+class EventCallBackProtocol(Protocol):
+    """Event callback protocol."""
+
+    def __call__(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool] | None:
+        """Call the event callback."""
+        ...
+
+
+@experimental_class
+class SendEvents(str, Enum):
+    """Events that can be sent."""
+
+    SESSION_UPDATE = "session.update"
+    INPUT_AUDIO_BUFFER_APPEND = "input_audio_buffer.append"
+    INPUT_AUDIO_BUFFER_COMMIT = "input_audio_buffer.commit"
+    INPUT_AUDIO_BUFFER_CLEAR = "input_audio_buffer.clear"
+    CONVERSATION_ITEM_CREATE = "conversation.item.create"
+    CONVERSATION_ITEM_TRUNCATE = "conversation.item.truncate"
+    CONVERSATION_ITEM_DELETE = "conversation.item.delete"
+    RESPONSE_CREATE = "response.create"
+    RESPONSE_CANCEL = "response.cancel"
+
+
+@experimental_class
+class ListenEvents(str, Enum):
+    """Events that can be listened to."""
+
+    ERROR = "error"
+    SESSION_CREATED = "session.created"
+    SESSION_UPDATED = "session.updated"
+    CONVERSATION_CREATED = "conversation.created"
+    INPUT_AUDIO_BUFFER_COMMITTED = "input_audio_buffer.committed"
+    INPUT_AUDIO_BUFFER_CLEARED = "input_audio_buffer.cleared"
+    INPUT_AUDIO_BUFFER_SPEECH_STARTED = "input_audio_buffer.speech_started"
+    INPUT_AUDIO_BUFFER_SPEECH_STOPPED = "input_audio_buffer.speech_stopped"
+    CONVERSATION_ITEM_CREATED = "conversation.item.created"
+    CONVERSATION_ITEM_INPUT_AUDIO_TRANSCRIPTION_COMPLETED = "conversation.item.input_audio_transcription.completed"
+    CONVERSATION_ITEM_INPUT_AUDIO_TRANSCRIPTION_FAILED = "conversation.item.input_audio_transcription.failed"
+    CONVERSATION_ITEM_TRUNCATED = "conversation.item.truncated"
+    CONVERSATION_ITEM_DELETED = "conversation.item.deleted"
+    RESPONSE_CREATED = "response.created"
+    RESPONSE_DONE = "response.done"
+    RESPONSE_OUTPUT_ITEM_ADDED = "response.output_item.added"
+    RESPONSE_OUTPUT_ITEM_DONE = "response.output_item.done"
+    RESPONSE_CONTENT_PART_ADDED = "response.content_part.added"
+    RESPONSE_CONTENT_PART_DONE = "response.content_part.done"
+    RESPONSE_TEXT_DELTA = "response.text.delta"
+    RESPONSE_TEXT_DONE = "response.text.done"
+    RESPONSE_AUDIO_TRANSCRIPT_DELTA = "response.audio_transcript.delta"
+    RESPONSE_AUDIO_TRANSCRIPT_DONE = "response.audio_transcript.done"
+    RESPONSE_AUDIO_DELTA = "response.audio.delta"
+    RESPONSE_AUDIO_DONE = "response.audio.done"
+    RESPONSE_FUNCTION_CALL_ARGUMENTS_DELTA = "response.function_call_arguments.delta"
+    RESPONSE_FUNCTION_CALL_ARGUMENTS_DONE = "response.function_call_arguments.done"
+    RATE_LIMITS_UPDATED = "rate_limits.updated"
+
+
+@experimental_class
+class OpenAIRealtimeBase(OpenAIHandler, RealtimeClientBase):
     """OpenAI Realtime service."""
 
     SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = True
     connection: AsyncRealtimeConnection | None = None
     connected: asyncio.Event = Field(default_factory=asyncio.Event)
-    session: Session | None = None
+    event_log: dict[str, list[RealtimeServerEvent]] = Field(default_factory=dict)
+    event_handlers: dict[str, list[EventCallBackProtocol | EventCallBackProtocolAsync]] = Field(default_factory=dict)
 
-    def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
-        """Get the request settings class."""
-        from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (  # noqa
-            OpenAIRealtimeExecutionSettings,
+    def model_post_init(self, *args, **kwargs) -> None:
+        """Post init method for the model."""
+        # Register the default event handlers
+        self.register_event_handler(ListenEvents.RESPONSE_AUDIO_DELTA, self.response_audio_delta_callback)
+        self.register_event_handler(
+            ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DELTA, self.response_audio_transcript_delta_callback
         )
+        self.register_event_handler(
+            ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DONE, self.response_audio_transcript_done_callback
+        )
+        self.register_event_handler(
+            ListenEvents.RESPONSE_FUNCTION_CALL_ARGUMENTS_DONE, self.response_function_call_arguments_delta_callback
+        )
+        self.register_event_handler(ListenEvents.ERROR, self.error_callback)
+        self.register_event_handler(ListenEvents.SESSION_CREATED, self.session_callback)
+        self.register_event_handler(ListenEvents.SESSION_UPDATED, self.session_callback)
 
-        return OpenAIRealtimeExecutionSettings
-
-    async def _get_connection(self) -> AsyncRealtimeConnection:
-        await self.connected.wait()
-        if not self.connection:
-            raise ValueError("Connection not established")
-        return self.connection
+    def register_event_handler(
+        self, event_type: str | ListenEvents, handler: EventCallBackProtocol | EventCallBackProtocolAsync
+    ) -> None:
+        """Register a event handler."""
+        if not isinstance(event_type, ListenEvents):
+            event_type = ListenEvents(event_type)
+        self.event_handlers.setdefault(event_type, []).append(handler)
 
     @override
-    async def _inner_get_streaming_chat_message_contents(
+    async def event_listener(
         self,
-        chat_history: "ChatHistory",
         settings: "PromptExecutionSettings",
-        function_invoke_attempt: int = 0,
+        chat_history: "ChatHistory | None" = None,
         **kwargs: Any,
-    ) -> AsyncGenerator[list[StreamingChatMessageContent], Any]:
-        if not isinstance(settings, self.get_prompt_execution_settings_class()):
-            settings = self.get_prompt_execution_settings_from_settings(settings)
-
-        events: list[RealtimeServerEvent] = []
-        detailed_events: dict[str, list[RealtimeServerEvent]] = {}
-        function_calls: list[StreamingChatMessageContent] = []
-
-        async with self.client.beta.realtime.connect(model=self.ai_model_id) as conn:
-            self.connection = conn
-            self.connected.set()
-
-            await conn.session.update(session=settings.prepare_settings_dict())
-            if len(chat_history) > 0:
-                await asyncio.gather(*(self._add_content_to_conversation(msg) for msg in chat_history.messages))
-
-            async for event in conn:
-                events.append(event)
-                detailed_events.setdefault(event.type, []).append(event)
-                match event.type:
-                    case "session.created" | "session.updated":
-                        self.session = event.session
-                        continue
-                    case "error":
-                        logger.error("Error received: %s", event.error)
-                        continue
-                    case "response.audio.delta":
-                        yield [
-                            StreamingChatMessageContent(
-                                role=AuthorRole.ASSISTANT,
-                                items=[AudioContent(data=base64.b64decode(event.delta), data_format="base64")],
-                                choice_index=event.content_index,
-                                inner_content=event,
-                            )
-                        ]
+    ) -> AsyncGenerator[StreamingChatMessageContent, Any]:
+        await self.connected.wait()
+        if not self.connection:
+            raise ValueError("Connection is not established.")
+        if not chat_history:
+            chat_history = ChatHistory()
+        async for event in self.connection:
+            event_type = ListenEvents(event.type)
+            self.event_log.setdefault(event_type, []).append(event)
+            for handler in self.event_handlers.get(event_type, []):
+                task = handler(event=event, settings=settings)
+                if not task:
+                    continue
+                if isawaitable(task):
+                    async_result = await task
+                    if not async_result:
                         continue
-                    case "response.audio_transcript.delta":
-                        yield [
-                            StreamingChatMessageContent(
-                                role=AuthorRole.ASSISTANT,
-                                items=[StreamingTextContent(text=event.delta, choice_index=event.content_index)],
-                                choice_index=event.content_index,
-                                inner_content=event,
+                    result, should_return = async_result
+                else:
+                    result, should_return = task
+                if should_return:
+                    yield result
+                else:
+                    chat_history.add_message(result)
+
+        for event_type in self.event_log:
+            logger.debug(f"Event type: {event_type}, count: {len(self.event_log[event_type])}")
+
+    @override
+    async def send_event(self, event: str | SendEvents, **kwargs: Any) -> None:
+        await self.connected.wait()
+        if not self.connection:
+            raise ValueError("Connection is not established.")
+        if not isinstance(event, SendEvents):
+            event = SendEvents(event)
+        match event:
+            case SendEvents.SESSION_UPDATE:
+                if "settings" not in kwargs:
+                    logger.error("Event data does not contain 'settings'")
+                await self.connection.session.update(session=kwargs["settings"].prepare_settings_dict())
+            case SendEvents.INPUT_AUDIO_BUFFER_APPEND:
+                if "content" not in kwargs:
+                    logger.error("Event data does not contain 'content'")
+                    return
+                await self.connection.input_audio_buffer.append(audio=kwargs["content"].data.decode("utf-8"))
+            case SendEvents.INPUT_AUDIO_BUFFER_COMMIT:
+                await self.connection.input_audio_buffer.commit()
+            case SendEvents.INPUT_AUDIO_BUFFER_CLEAR:
+                await self.connection.input_audio_buffer.clear()
+            case SendEvents.CONVERSATION_ITEM_CREATE:
+                if "item" not in kwargs:
+                    logger.error("Event data does not contain 'item'")
+                    return
+                content = kwargs["item"]
+                for item in content.items:
+                    match item:
+                        case TextContent():
+                            await self.connection.conversation.item.create(
+                                item=ConversationItemParam(
+                                    type="message",
+                                    content=[
+                                        {
+                                            "type": "input_text",
+                                            "text": item.text,
+                                        }
+                                    ],
+                                    role="user",
+                                )
                             )
-                        ]
-                        continue
-                    case "response.audio_transcript.done":
-                        chat_history.add_message(
-                            StreamingChatMessageContent(
-                                role=AuthorRole.ASSISTANT,
-                                items=[StreamingTextContent(text=event.transcript, choice_index=event.content_index)],
-                                choice_index=event.content_index,
-                                inner_content=event,
+                        case FunctionCallContent():
+                            call_id = item.metadata.get("call_id")
+                            if not call_id:
+                                logger.error("Function call needs to have a call_id")
+                                continue
+                            await self.connection.conversation.item.create(
+                                item=ConversationItemParam(
+                                    type="function_call",
+                                    name=item.name,
+                                    arguments=item.arguments,
+                                    call_id=call_id,
+                                )
                             )
-                        )
-                    case "response.function_call_arguments.delta":
-                        msg = StreamingChatMessageContent(
-                            role=AuthorRole.ASSISTANT,
-                            items=[
-                                FunctionCallContent(
-                                    id=event.item_id,
-                                    name=event.call_id,
-                                    arguments=event.delta,
-                                    index=event.output_index,
-                                    metadata={"call_id": event.call_id},
+                        case FunctionResultContent():
+                            call_id = item.metadata.get("call_id")
+                            if not call_id:
+                                logger.error("Function result needs to have a call_id")
+                                continue
+                            await self.connection.conversation.item.create(
+                                item=ConversationItemParam(
+                                    type="function_call_output",
+                                    output=item.result,
+                                    call_id=call_id,
                                 )
-                            ],
-                            choice_index=0,
-                            inner_content=event,
-                        )
-                        function_calls.append(msg)
-                        yield [msg]
-                        continue
-                    case "response.function_call_arguments.done":
-                        # execute function, add result to conversation
-                        if len(function_calls) > 0:
-                            function_call = sum(function_calls[1:], function_calls[0])
-                            # execute function
-                            results = []
-                            for item in function_call.items:
-                                if isinstance(item, FunctionCallContent):
-                                    kernel: Kernel | None = kwargs.get("kernel")
-                                    call_id = item.name
-                                    function_name = next(
-                                        output_item_event.item.name
-                                        for output_item_event in detailed_events["response.output_item.added"]
-                                        if output_item_event.item.call_id == call_id
-                                    )
-                                    item.plugin_name, item.function_name = function_name.split("-", 1)
-                                    if kernel:
-                                        await kernel.invoke_function_call(item, chat_history)
-                                        # add result to conversation
-                                        results.append(chat_history.messages[-1])
-                            for message in results:
-                                await self._add_content_to_conversation(content=message)
-                    case _:
-                        logger.debug("Unhandled event type: %s", event.type)
-        logger.debug(f"Finished streaming chat message contents, {len(events)} events received.")
-        for event_type in detailed_events:
-            logger.debug(f"Event type: {event_type}, count: {len(detailed_events[event_type])}")
-
-    async def send_content(
+                            )
+            case SendEvents.CONVERSATION_ITEM_TRUNCATE:
+                if "item_id" not in kwargs:
+                    logger.error("Event data does not contain 'item_id'")
+                    return
+                await self.connection.conversation.item.truncate(
+                    item_id=kwargs["item_id"], content_index=0, audio_end_ms=kwargs.get("audio_end_ms", 0)
+                )
+            case SendEvents.CONVERSATION_ITEM_DELETE:
+                if "item_id" not in kwargs:
+                    logger.error("Event data does not contain 'item_id'")
+                    return
+                await self.connection.conversation.item.delete(item_id=kwargs["item_id"])
+            case SendEvents.RESPONSE_CREATE:
+                if "response" in kwargs:
+                    await self.connection.response.create(response=kwargs["response"])
+                else:
+                    await self.connection.response.create()
+            case SendEvents.RESPONSE_CANCEL:
+                if "response_id" in kwargs:
+                    await self.connection.response.cancel(response_id=kwargs["response_id"])
+                else:
+                    await self.connection.response.cancel()
+
+    @override
+    async def create_session(
         self,
-        content: ChatMessageContent | AudioContent | AsyncGenerator[AudioContent, Any],
+        settings: PromptExecutionSettings | None = None,
+        chat_history: ChatHistory | None = None,
         **kwargs: Any,
     ) -> None:
-        """Send a chat message content to the service.
-
-        This content should contain audio content, either as a ChatMessageContent with a
-        AudioContent item, as AudioContent directly, as or as a generator of AudioContent.
-
-        """
-        if isinstance(content, AudioContent | ChatMessageContent):
-            if isinstance(content, ChatMessageContent):
-                content = next(item for item in content.items if isinstance(item, AudioContent))
-            connection = await self._get_connection()
-            await connection.input_audio_buffer.append(audio=content.data.decode("utf-8"))
-            await asyncio.sleep(0)
-            return
-
-        async for audio_content in content:
-            if isinstance(audio_content, ChatMessageContent):
-                audio_content = next(item for item in audio_content.items if isinstance(item, AudioContent))
-            connection = await self._get_connection()
-            await connection.input_audio_buffer.append(audio=audio_content.data.decode("utf-8"))
-            await asyncio.sleep(0)
-
-    async def commit_content(self, settings: "PromptExecutionSettings") -> None:
-        """Commit the chat message content to the service.
-
-        This is only needed when turn detection is not handled by the service.
-
-        This behavior is determined by the turn_detection parameter in the settings.
-        If turn_detection is None, then it will commit the audio buffer and
-        ask the service to process the audio and create the response.
-        """
-        if not isinstance(settings, self.get_prompt_execution_settings_class()):
-            settings = self.get_prompt_execution_settings_from_settings(settings)
-        if not settings.turn_detection:
-            connection = await self._get_connection()
-            await connection.input_audio_buffer.commit()
-            await connection.response.create()
+        """Create a session in the service."""
+        self.connection = await self.client.beta.realtime.connect(model=self.ai_model_id).enter()
+        self.connected.set()
+        if settings or chat_history or kwargs:
+            await self.update_session(settings=settings, chat_history=chat_history, **kwargs)
 
     @override
-    def _update_function_choice_settings_callback(
+    async def update_session(
+        self, settings: PromptExecutionSettings | None = None, chat_history: ChatHistory | None = None, **kwargs: Any
+    ) -> None:
+        if settings:
+            if "kernel" in kwargs:
+                settings = prepare_settings_for_function_calling(
+                    settings,
+                    self.get_prompt_execution_settings_class(),
+                    self._update_function_choice_settings_callback(),
+                    kernel=kwargs.get("kernel"),  # type: ignore
+                )
+            await self.send_event(SendEvents.SESSION_UPDATE, settings=settings)
+        if chat_history and len(chat_history) > 0:
+            await asyncio.gather(
+                *(self.send_event(SendEvents.CONVERSATION_ITEM_CREATE, item=msg) for msg in chat_history.messages)
+            )
+
+    @override
+    async def close_session(self) -> None:
+        """Close the session in the service."""
+        if self.connected.is_set():
+            await self.connection.close()
+            self.connection = None
+            self.connected.clear()
+
+    def response_audio_delta_callback(
         self,
-    ) -> Callable[[FunctionCallChoiceConfiguration, "PromptExecutionSettings", FunctionChoiceType], None]:
-        return update_settings_from_function_call_configuration
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response audio delta."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[AudioContent(data=base64.b64decode(event.delta), data_format="base64")],
+            choice_index=event.content_index,
+            inner_content=event,
+        ), True
 
-    async def _streaming_function_call_result_callback(
-        self, function_result_messages: list[StreamingChatMessageContent]
+    def response_audio_transcript_delta_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response audio transcript delta."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[StreamingTextContent(text=event.delta, choice_index=event.content_index)],
+            choice_index=event.content_index,
+            inner_content=event,
+        ), True
+
+    def response_audio_transcript_done_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response audio transcript done."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[StreamingTextContent(text=event.transcript, choice_index=event.content_index)],
+            choice_index=event.content_index,
+            inner_content=event,
+        ), False
+
+    def response_function_call_arguments_delta_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response function call arguments delta."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[
+                FunctionCallContent(
+                    id=event.item_id,
+                    name=event.call_id,
+                    arguments=event.delta,
+                    index=event.output_index,
+                    metadata={"call_id": event.call_id},
+                )
+            ],
+            choice_index=0,
+            inner_content=event,
+        ), True
+
+    def error_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
     ) -> None:
-        """Callback to handle the streaming function call result messages.
-
-        Override this method to handle the streaming function call result messages.
-
-        Args:
-            function_result_messages (list): The streaming function call result messages.
-        """
-        for msg in function_result_messages:
-            await self._add_content_to_conversation(msg)
-
-    async def _add_content_to_conversation(self, content: ChatMessageContent) -> None:
-        """Add an item to the conversation."""
-        connection = await self._get_connection()
-        for item in content.items:
-            match item:
-                case AudioContent():
-                    await connection.conversation.item.create(
-                        item=ConversationItemParam(
-                            type="message",
-                            content=[
-                                {
-                                    "type": "input_audio",
-                                    "audio": item.data.decode("utf-8"),
-                                }
-                            ],
-                            role="user",
-                        )
-                    )
-                case TextContent():
-                    await connection.conversation.item.create(
-                        item=ConversationItemParam(
-                            type="message",
-                            content=[
-                                {
-                                    "type": "input_text",
-                                    "text": item.text,
-                                }
-                            ],
-                            role="user",
-                        )
-                    )
-                case FunctionCallContent():
-                    call_id = item.metadata.get("call_id")
-                    if not call_id:
-                        logger.error("Function call needs to have a call_id")
-                        continue
-                    await connection.conversation.item.create(
-                        item=ConversationItemParam(
-                            type="function_call",
-                            name=item.name,
-                            arguments=item.arguments,
-                            call_id=call_id,
-                        )
-                    )
-                case FunctionResultContent():
-                    call_id = item.metadata.get("call_id")
-                    if not call_id:
-                        logger.error("Function result needs to have a call_id")
-                        continue
-                    await connection.conversation.item.create(
-                        item=ConversationItemParam(
-                            type="function_call_output",
-                            output=item.result,
-                            call_id=call_id,
-                        )
-                    )
-                case _:
-                    logger.debug("Unhandled item type: %s", item.__class__.__name__)
-                    continue
+        """Handle error."""
+        logger.error("Error received: %s", event.error)
+
+    def session_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Handle session."""
+        logger.debug("Session created or updated, session: %s", event.session)
+
+    async def response_function_call_arguments_done_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Handle response function call done."""
+        item = FunctionCallContent(
+            id=event.item_id,
+            name=event.call_id,
+            arguments=event.delta,
+            index=event.output_index,
+            metadata={"call_id": event.call_id},
+        )
+        kernel: Kernel | None = kwargs.get("kernel")
+        call_id = item.name
+        function_name = next(
+            output_item_event.item.name
+            for output_item_event in self.event_log[ListenEvents.RESPONSE_OUTPUT_ITEM_ADDED]
+            if output_item_event.item.call_id == call_id
+        )
+        item.plugin_name, item.function_name = function_name.split("-", 1)
+        if kernel:
+            chat_history = ChatHistory()
+            await kernel.invoke_function_call(item, chat_history)
+            await self.send_event(SendEvents.CONVERSATION_ITEM_CREATE, item=chat_history.messages[-1])
+        return chat_history.messages[-1], False
+
+    def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
+        """Get the request settings class."""
+        from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (  # noqa
+            OpenAIRealtimeExecutionSettings,
+        )
+
+        return OpenAIRealtimeExecutionSettings
diff --git a/python/semantic_kernel/connectors/ai/realtime_client_base.py b/python/semantic_kernel/connectors/ai/realtime_client_base.py
index 734e7e7caed4..c5d092d50870 100644
--- a/python/semantic_kernel/connectors/ai/realtime_client_base.py
+++ b/python/semantic_kernel/connectors/ai/realtime_client_base.py
@@ -1,51 +1,140 @@
 # Copyright (c) Microsoft. All rights reserved.
 
-
 from abc import ABC, abstractmethod
-from collections.abc import AsyncGenerator
-from typing import Any
+from collections.abc import AsyncGenerator, Callable
+from typing import TYPE_CHECKING, Any, ClassVar
 
-from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
-from semantic_kernel.contents.audio_content import AudioContent
-from semantic_kernel.contents.text_content import TextContent
+from semantic_kernel.connectors.ai.function_call_choice_configuration import FunctionCallChoiceConfiguration
+from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceType
 from semantic_kernel.services.ai_service_client_base import AIServiceClientBase
+from semantic_kernel.utils.experimental_decorator import experimental_class
+
+if TYPE_CHECKING:
+    from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+    from semantic_kernel.contents.chat_history import ChatHistory
+    from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
+
+####
+# TODO (eavanvalkenburg): Move to ADR
+# Receiving:
+# Option 1: Events and Contents split (current)
+#    - content received through main receive_content method
+#    - events received through event callback handlers
+# Option 2: Everything is Content
+#    - content (events as new Content Type) received through main receive_content method
+# Option 3: Everything is Event
+#    - receive_content method is removed
+#    - events received through main listen method
+#    - default event handlers added for things like errors and function calling
+#   - built-in vs custom event handling - separate or not?
+# Sending:
+# Option 1: Events and Contents split (current)
+#    - send_content and send_event
+# Option 2: Everything is Content
+#    - single method needed, with EventContent type support
+# Option 3: Everything is Event
+#    - send_event method only, Content is part of event data
+####
 
 
+@experimental_class
 class RealtimeClientBase(AIServiceClientBase, ABC):
-    """Base class for audio to text client."""
+    """Base class for a realtime client."""
+
+    SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = False
+
+    async def __aenter__(self) -> "RealtimeClientBase":
+        """Enter the context manager.
+
+        Default implementation calls the create session method.
+        """
+        await self.create_session()
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb) -> None:
+        """Exit the context manager."""
+        await self.close_session()
+
+    @abstractmethod
+    async def close_session(self) -> None:
+        """Close the session in the service."""
+        pass
 
     @abstractmethod
-    async def receive(
+    async def create_session(
         self,
-        settings: PromptExecutionSettings | None = None,
+        settings: "PromptExecutionSettings | None" = None,
+        chat_history: "ChatHistory | None" = None,
         **kwargs: Any,
-    ) -> AsyncGenerator[TextContent | AudioContent, Any]:
-        """Get text contents from audio.
+    ) -> None:
+        """Create a session in the service.
 
         Args:
             settings: Prompt execution settings.
+            chat_history: Chat history.
             kwargs: Additional arguments.
-
-        Returns:
-            list[TextContent | AudioContent]: response contents.
         """
         raise NotImplementedError
 
     @abstractmethod
-    async def send(
+    async def update_session(
         self,
-        audio_content: AudioContent,
-        settings: PromptExecutionSettings | None = None,
+        settings: "PromptExecutionSettings | None" = None,
+        chat_history: "ChatHistory | None" = None,
         **kwargs: Any,
     ) -> None:
-        """Get text content from audio.
+        """Update a session in the service.
+
+        Can be used when using the context manager instead of calling create_session with these same arguments.
 
         Args:
-            audio_content: Audio content.
             settings: Prompt execution settings.
+            chat_history: Chat history.
             kwargs: Additional arguments.
+        """
+        raise NotImplementedError
 
-        Returns:
-            TextContent: Text content.
+    @abstractmethod
+    async def event_listener(
+        self,
+        settings: "PromptExecutionSettings | None" = None,
+        chat_history: "ChatHistory | None" = None,
+        **kwargs: Any,
+    ) -> AsyncGenerator["StreamingChatMessageContent", Any]:
+        """Get text contents from audio.
+
+        Args:
+            settings: Prompt execution settings.
+            chat_history: Chat history.
+            kwargs: Additional arguments.
+
+        Yields:
+            StreamingChatMessageContent messages
         """
         raise NotImplementedError
+
+    @abstractmethod
+    async def send_event(
+        self,
+        event: str,
+        event_data: dict[str, Any] | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Send an event to the session.
+
+        Args:
+            event: Event name, can be a string or a Enum value.
+            event_data: Event data.
+            kwargs: Additional arguments.
+        """
+        raise NotImplementedError
+
+    def _update_function_choice_settings_callback(
+        self,
+    ) -> Callable[[FunctionCallChoiceConfiguration, "PromptExecutionSettings", FunctionChoiceType], None]:
+        """Return the callback function to update the settings from a function call configuration.
+
+        Override this method to provide a custom callback function to
+        update the settings from a function call configuration.
+        """
+        return lambda configuration, settings, choice_type: None
diff --git a/python/tests/unit/contents/test_audio_content.py b/python/tests/unit/contents/test_audio_content.py
deleted file mode 100644
index 2af5a99b9e29..000000000000
--- a/python/tests/unit/contents/test_audio_content.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import os
-
-import pytest
-
-from semantic_kernel.contents.audio_content import AudioContent
-
-test_cases = [
-    pytest.param(AudioContent(uri="http://test_uri"), id="uri"),
-    pytest.param(AudioContent(data=b"test_data", mime_type="image/jpeg", data_format="base64"), id="data"),
-    pytest.param(AudioContent(uri="http://test_uri", data=b"test_data", mime_type="image/jpeg"), id="both"),
-    pytest.param(
-        AudioContent.from_image_path(
-            image_path=os.path.join(os.path.dirname(__file__), "../../", "assets/sample_image.jpg")
-        ),
-        id="image_file",
-    ),
-]
-
-
-def test_create_uri():
-    image = AudioContent(uri="http://test_uri")
-    assert str(image.uri) == "http://test_uri/"
-
-
-def test_create_file_from_path():
-    image_path = os.path.join(os.path.dirname(__file__), "../../", "assets/sample_image.jpg")
-    image = AudioContent.from_image_path(image_path=image_path)
-    assert image.mime_type == "image/jpeg"
-    assert image.data_uri.startswith("data:image/jpeg;")
-    assert image.data is not None
-
-
-def test_create_data():
-    image = AudioContent(data=b"test_data", mime_type="image/jpeg")
-    assert image.mime_type == "image/jpeg"
-    assert image.data == b"test_data"
-
-
-def test_to_str_uri():
-    image = AudioContent(uri="http://test_uri")
-    assert str(image) == "http://test_uri/"
-
-
-def test_to_str_data():
-    image = AudioContent(data=b"test_data", mime_type="image/jpeg", data_format="base64")
-    assert str(image) == "data:image/jpeg;base64,dGVzdF9kYXRh"
-
-
-@pytest.mark.parametrize("image", test_cases)
-def test_element_roundtrip(image):
-    element = image.to_element()
-    new_image = AudioContent.from_element(element)
-    assert new_image == image
-
-
-@pytest.mark.parametrize("image", test_cases)
-def test_to_dict(image):
-    assert image.to_dict() == {"type": "image_url", "image_url": {"url": str(image)}}
diff --git a/python/uv.lock b/python/uv.lock
index 9aef4c75178b..49106ae296cc 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -1,18 +1,18 @@
 version = 1
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version < '3.11' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
     "python_full_version >= '3.13' and sys_platform == 'darwin'",
-    "python_full_version < '3.11' and sys_platform == 'linux'",
-    "python_full_version == '3.11.*' and sys_platform == 'linux'",
-    "python_full_version == '3.12.*' and sys_platform == 'linux'",
+    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+    "python_full_version < '3.11' and sys_platform == 'darwin'",
     "python_full_version >= '3.13' and sys_platform == 'linux'",
-    "python_full_version < '3.11' and sys_platform == 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'win32'",
-    "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version == '3.12.*' and sys_platform == 'linux'",
+    "python_full_version == '3.11.*' and sys_platform == 'linux'",
+    "python_full_version < '3.11' and sys_platform == 'linux'",
     "python_full_version >= '3.13' and sys_platform == 'win32'",
+    "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version < '3.11' and sys_platform == 'win32'",
 ]
 supported-markers = [
     "sys_platform == 'darwin'",
@@ -414,30 +414,30 @@ wheels = [
 
 [[package]]
 name = "boto3"
-version = "1.35.92"
+version = "1.35.95"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "botocore", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "jmespath", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "s3transfer", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/3f/de/a96f2aa9a5770932e5bc3a9d3a6b4e0270487d5846a3387d5f5148e4c974/boto3-1.35.92.tar.gz", hash = "sha256:f7851cb320dcb2a53fc73b4075187ec9b05d51291539601fa238623fdc0e8cd3", size = 111016 }
+sdist = { url = "https://files.pythonhosted.org/packages/97/b5/b961eb4d803ade4c90113b254630482f59a5d89b84e6939c9d4c7893d0c7/boto3-1.35.95.tar.gz", hash = "sha256:d5671226819f6a78e31b1f37bd60f194afb8203254a543d06bdfb76de7d79236", size = 111014 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4e/9d/0f7ecfea26ba0524617f7cfbd0b188d963bbc3b4cf2d9c3441dffe310c30/boto3-1.35.92-py3-none-any.whl", hash = "sha256:786930d5f1cd13d03db59ff2abbb2b7ffc173fd66646d5d8bee07f316a5f16ca", size = 139179 },
+    { url = "https://files.pythonhosted.org/packages/3a/e1/1910792d5eceff426bd9048c454766df720cb0fd26473907fbfd1c64d518/boto3-1.35.95-py3-none-any.whl", hash = "sha256:c81223488607457dacb7829ee0c99803c664593b34a2b0f86c71d421e7c3469a", size = 139182 },
 ]
 
 [[package]]
 name = "botocore"
-version = "1.35.92"
+version = "1.35.95"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jmespath", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "python-dateutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "urllib3", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/bf/e1/4f3d4e43d10a4070aa43c6d9c0cfd40fe53dbd1c81a31f237c29a86735a3/botocore-1.35.92.tar.gz", hash = "sha256:caa7d5d857fed5b3d694b89c45f82b9f938f840e90a4eb7bf50aa65da2ba8f82", size = 13494438 }
+sdist = { url = "https://files.pythonhosted.org/packages/d8/b7/1cf5da213ce2e00a5bcd480a9355aa23f787e11ef63eecb637bd7e48deef/botocore-1.35.95.tar.gz", hash = "sha256:b03d2d7cc58a16aa96a7e8f21941b766e98abc6ea74f61a63de7dc26c03641d3", size = 13489115 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/cf/97/e001bbab0773b66a5512022cc26deb82b8743f16ba5662fe762019c4c52c/botocore-1.35.95-py3-none-any.whl", hash = "sha256:a672406f748ad6a5b2fb7ea0d8394539eb4fda5332fc5373467d232c4bb27b12", size = 13289333 },
 ]
 
 [[package]]
@@ -646,7 +646,7 @@ wheels = [
 
 [[package]]
 name = "chromadb"
-version = "0.5.23"
+version = "0.5.20"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "bcrypt", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -678,9 +678,9 @@ dependencies = [
     { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "uvicorn", extra = ["standard"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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-sdist = { url = "https://files.pythonhosted.org/packages/42/64/28daa773f784bcd18de944fe26ed301de844d6ee17188e26a9d6b4baf122/chromadb-0.5.23.tar.gz", hash = "sha256:360a12b9795c5a33cb1f839d14410ccbde662ef1accd36153b0ae22312edabd1", size = 33700455 }
+sdist = { url = "https://files.pythonhosted.org/packages/03/31/6c8e05405bb02b4a1f71f9aa3eef242415565dabf6afc1bde7f64f726963/chromadb-0.5.20.tar.gz", hash = "sha256:19513a23b2d20059866216bfd80195d1d4a160ffba234b8899f5e80978160ca7", size = 33664540 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/92/8c/a9eb95a28e6c35a0122417976a9d435eeaceb53f596a8973e33b3dd4cfac/chromadb-0.5.23-py3-none-any.whl", hash = "sha256:ffe5bdd7276d12cb682df0d38a13aa37573e6a3678e71889ac45f539ae05ad7e", size = 628347 },
+    { url = "https://files.pythonhosted.org/packages/5f/7a/10bf5dc92d13cc03230190fcc5016a0b138d99e5b36b8b89ee0fe1680e10/chromadb-0.5.20-py3-none-any.whl", hash = "sha256:9550ba1b6dce911e35cac2568b301badf4b42f457b99a432bdeec2b6b9dd3680", size = 617884 },
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 [[package]]
@@ -984,6 +984,19 @@ wheels = [
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 ]
 
+[[package]]
+name = "environs"
+version = "9.5.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "marshmallow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "python-dotenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d4/e3/c3c6c76f3dbe3e019e9a451b35bf9f44690026a5bb1232f7b77097b72ff5/environs-9.5.0.tar.gz", hash = "sha256:a76307b36fbe856bdca7ee9161e6c466fd7fcffc297109a118c59b54e27e30c9", size = 20795 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ca/5e/f0f217dc393372681bfe05c50f06a212e78d0a3fee907a74ab451ec1dcdb/environs-9.5.0-py2.py3-none-any.whl", hash = "sha256:1e549569a3de49c05f856f40bce86979e7d5ffbbc4398e7f338574c220189124", size = 12548 },
+]
+
 [[package]]
 name = "eval-type-backport"
 version = "0.2.2"
@@ -1250,7 +1263,7 @@ wheels = [
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.75.0"
+version = "1.76.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "docstring-parser", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -1264,10 +1277,11 @@ dependencies = [
     { name = "protobuf", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "shapely", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/de/76/7b3c013e92c70a558e71b0e83be13111ec797c4ded8ca98df20af15891c7/google_cloud_aiplatform-1.75.0.tar.gz", hash = "sha256:eb8404abf1134b3b368535fe429c4eec2fd12d444c2e9ffbc329ddcbc72b36c9", size = 8185280 }
+sdist = { url = "https://files.pythonhosted.org/packages/49/61/c3f206a0de113cdba09998b78434c63fcabd8e89607b8fb83cd21a3dffcf/google_cloud_aiplatform-1.76.0.tar.gz", hash = "sha256:910fb7fb6ef7ec73a48523872d669370755f59ac6d764dc8bf2fc91e7c0b2fca", size = 8202679 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/46/01/651752ae55160f5670c33d8a61de08798212472d11db124cb175ff54bcaa/google_cloud_aiplatform-1.76.0-py2.py3-none-any.whl", hash = "sha256:0b0348525b9528db7b69538ff6e86289ea2ce0d80f3784a42865fc994fe10dd1", size = 6867667 },
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 [[package]]
@@ -1423,122 +1437,122 @@ wheels = [
 
 [[package]]
 name = "grpcio"
-version = "1.67.1"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/20/53/d9282a66a5db45981499190b77790570617a604a38f3d103d0400974aeb5/grpcio-1.67.1.tar.gz", hash = "sha256:3dc2ed4cabea4dc14d5e708c2b426205956077cc5de419b4d4079315017e9732", size = 12580022 }
-wheels = [
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     { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/37/5a/58f96c83e566f907ae39f16d4401bbefd8bb85c60bd1e6a95c419752ab90/transformers-4.46.3.tar.gz", hash = "sha256:8ee4b3ae943fe33e82afff8e837f4b052058b07ca9be3cb5b729ed31295f72cc", size = 8627944 }
+sdist = { url = "https://files.pythonhosted.org/packages/15/1a/936aeb4f88112f670b604f5748034568dbc2b9bbb457a8d4518b1a15510a/transformers-4.47.1.tar.gz", hash = "sha256:6c29c05a5f595e278481166539202bf8641281536df1c42357ee58a45d0a564a", size = 8707421 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/51/51/b87caa939fedf307496e4dbf412f4b909af3d9ca8b189fc3b65c1faa456f/transformers-4.46.3-py3-none-any.whl", hash = "sha256:a12ef6f52841fd190a3e5602145b542d03507222f2c64ebb7ee92e8788093aef", size = 10034536 },
+    { url = "https://files.pythonhosted.org/packages/f2/3a/8bdab26e09c5a242182b7ba9152e216d5ab4ae2d78c4298eb4872549cd35/transformers-4.47.1-py3-none-any.whl", hash = "sha256:d2f5d19bb6283cd66c893ec7e6d931d6370bbf1cc93633326ff1f41a40046c9c", size = 10133598 },
 ]
 
 [package.optional-dependencies]

From 89b526f7a645b6b170c8d4a9d1e049a2fb233bc5 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Thu, 9 Jan 2025 16:47:55 +0100
Subject: [PATCH 03/15] updated note

---
 .../semantic_kernel/connectors/ai/realtime_client_base.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/python/semantic_kernel/connectors/ai/realtime_client_base.py b/python/semantic_kernel/connectors/ai/realtime_client_base.py
index c5d092d50870..ebdd4eed3739 100644
--- a/python/semantic_kernel/connectors/ai/realtime_client_base.py
+++ b/python/semantic_kernel/connectors/ai/realtime_client_base.py
@@ -17,22 +17,22 @@
 ####
 # TODO (eavanvalkenburg): Move to ADR
 # Receiving:
-# Option 1: Events and Contents split (current)
+# Option 1: Events and Contents split
 #    - content received through main receive_content method
 #    - events received through event callback handlers
 # Option 2: Everything is Content
 #    - content (events as new Content Type) received through main receive_content method
-# Option 3: Everything is Event
+# Option 3: Everything is Event (current)
 #    - receive_content method is removed
 #    - events received through main listen method
 #    - default event handlers added for things like errors and function calling
 #   - built-in vs custom event handling - separate or not?
 # Sending:
-# Option 1: Events and Contents split (current)
+# Option 1: Events and Contents split
 #    - send_content and send_event
 # Option 2: Everything is Content
 #    - single method needed, with EventContent type support
-# Option 3: Everything is Event
+# Option 3: Everything is Event (current)
 #    - send_event method only, Content is part of event data
 ####
 

From 3f99832eaf2a0f2bf0bb29fdf46963f13077d680 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Thu, 9 Jan 2025 17:01:06 +0100
Subject: [PATCH 04/15] reverted some changes

---
 .../connectors/ai/chat_completion_client_base.py           | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/python/semantic_kernel/connectors/ai/chat_completion_client_base.py b/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
index 621f9153d5e0..83afb9d6f649 100644
--- a/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
+++ b/python/semantic_kernel/connectors/ai/chat_completion_client_base.py
@@ -225,7 +225,7 @@ async def get_streaming_chat_message_contents(
 
         if not self.SUPPORTS_FUNCTION_CALLING:
             async for streaming_chat_message_contents in self._inner_get_streaming_chat_message_contents(
-                chat_history, settings, **kwargs
+                chat_history, settings
             ):
                 yield streaming_chat_message_contents
             return
@@ -259,7 +259,7 @@ async def get_streaming_chat_message_contents(
             or not settings.function_choice_behavior.auto_invoke_kernel_functions
         ):
             async for streaming_chat_message_contents in self._inner_get_streaming_chat_message_contents(
-                chat_history, settings, **kwargs
+                chat_history, settings
             ):
                 yield streaming_chat_message_contents
             return
@@ -271,7 +271,7 @@ async def get_streaming_chat_message_contents(
                 all_messages: list["StreamingChatMessageContent"] = []
                 function_call_returned = False
                 async for messages in self._inner_get_streaming_chat_message_contents(
-                    chat_history, settings, request_index, **kwargs
+                    chat_history, settings, request_index
                 ):
                     for msg in messages:
                         if msg is not None:
@@ -322,7 +322,6 @@ async def get_streaming_chat_message_contents(
                     function_invoke_attempt=request_index,
                 )
                 if self._yield_function_result_messages(function_result_messages):
-                    await self._streaming_function_call_result_callback(function_result_messages)
                     yield function_result_messages
 
                 if any(result.terminate for result in results if result is not None):

From 1bb5a3357bac2c1d0915e8f3151622adab17abf5 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <edvan@microsoft.com>
Date: Fri, 10 Jan 2025 13:52:55 +0100
Subject: [PATCH 05/15] WIP ADR

---
 docs/decisions/00XX-realtime-api-clients.md   | 158 +++++++++
 python/pyproject.toml                         |   3 +-
 .../open_ai_realtime_execution_settings.py    |   8 +-
 .../open_ai/services/open_ai_realtime_base.py |   4 +-
 python/uv.lock                                | 323 +++++++++---------
 5 files changed, 328 insertions(+), 168 deletions(-)
 create mode 100644 docs/decisions/00XX-realtime-api-clients.md

diff --git a/docs/decisions/00XX-realtime-api-clients.md b/docs/decisions/00XX-realtime-api-clients.md
new file mode 100644
index 000000000000..81d9d6fdf4e7
--- /dev/null
+++ b/docs/decisions/00XX-realtime-api-clients.md
@@ -0,0 +1,158 @@
+---
+# These are optional elements. Feel free to remove any of them.
+status: {proposed }
+contact: {Eduard van Valkenburg}
+date: {2025-01-10}
+deciders: { Eduard van Valkenburg, Mark Wallace, Ben Thomas, Roger Barreto}
+consulted: 
+informed: 
+---
+
+# Realtime API Clients
+
+## Context and Problem Statement
+
+Multiple model providers are starting to enable realtime voice-to-voice communication with their models, this includes OpenAI with their [Realtime API](https://openai.com/index/introducing-the-realtime-api/) and [Google Gemini](https://ai.google.dev/api/multimodal-live). These API's promise some very interesting new ways of using LLM's in different settings, which we want to enable with Semantic Kernel. The key addition that Semantic Kernel brings into this system is the ability to (re)use Semantic Kernel function as tools with these API's. 
+
+The way these API's work at this time is through either websockets or WebRTC. In both cases there are events being sent to and from the service, some events contain content, text, audio, or video (so far only sending, not receiving), while some events are "control" events, like content created, function call requested, etc. Sending events include, sending content, either voice, text or function call output, or events, like committing the input audio and requesting a response. 
+
+Both the OpenAI and Google realtime api's are in preview/beta, this means there might be breaking changes in the way they work coming in the future, therefore the clients built to support these API's are going to be experimental until the API's stabilize.
+
+One feature that we need to consider if and how to deal with is whether or not a service uses Voice Activated Detection, OpenAI supports turning that off and allows parameters for how it behaves, while Google has it on by default and it cannot be configured.
+
+### Event types
+
+Client side events:
+| **Content/Control event**  | **Event Description**               | **OpenAI Event**        | **Google Event**       |
+|-------------------| ------------------------------------|-------------------------|------------------------|
+ | Control  | Configure session                    | `session.update`            | `BidiGenerateContentSetup`           |
+ | Content | Send voice input                    | `input_audio_buffer.append`            | `BidiGenerateContentRealtimeInput`           |
+ | Control  | Commit input and request response   | `input_audio_buffer.commit`          | `-`         |
+ | Control | Clean audio input buffer            | `input_audio_buffer.clear`           | `-`          |
+ | Content  | Send text input                     | `conversation.item.create`             | `BidiGenerateContentClientContent`            |
+   | Control | Interrupt audio       | `conversation.item.truncate` | `-`|
+   | Control | Delete content       | `conversation.item.delete` | `-`|
+| Control | Respond to function call request | `conversation.item.create` | `BidiGenerateContentToolResponse`|
+| Control | Ask for response | `response.create` | `-`|
+| Control | Cancel response | `response.cancel` | `-`|
+
+Server side events:
+| **Content/Control event**  | **Event Description**               | **OpenAI Event**        | **Google Event**       |
+|----------------------------|-------------------------------------|-------------------------|------------------------|
+| Control                    | Error                               | `error`                 | `-`                    |
+| Control                    | Session created                     | `session.created`       | `BidiGenerateContentSetupComplete`                    |
+| Control                    | Session updated                     | `session.updated`       | `BidiGenerateContentSetupComplete`                    |
+| Control                    | Conversation created                | `conversation.created`  | `-`                    |
+| Control                    | Input audio buffer committed        | `input_audio_buffer.committed` | `-`                    |
+| Control                    | Input audio buffer cleared          | `input_audio_buffer.cleared` | `-`                    |
+| Control                    | Input audio buffer speech started   | `input_audio_buffer.speech_started` | `-`                    |
+| Control                    | Input audio buffer speech stopped   | `input_audio_buffer.speech_stopped` | `-`                    |
+| Content                    | Conversation item created           | `conversation.item.created` | `-`                    |
+| Content                    | Input audio transcription completed | `conversation.item.input_audio_transcription.completed` | 
+| Content                    | Input audio transcription failed    | `conversation.item.input_audio_transcription.failed` | 
+| Control                    | Conversation item truncated         | `conversation.item.truncated` | `-`                    |
+| Control                    | Conversation item deleted           | `conversation.item.deleted` | `-`                    |
+| Control                    | Response created                    | `response.created`       | `-`                    |
+| Control                    | Response done                       | `response.done`          | `-`                    |
+| Content                    | Response output item added          | `response.output_item.added` | `-`                    |
+| Content                    | Response output item done           | `response.output_item.done` | `-`                    |
+| Content                    | Response content part added         | `response.content_part.added` | `-`                    |
+| Content                    | Response content part done          | `response.content_part.done` | `-`                    |
+| Content                    | Response text delta                 | `response.text.delta`    | `BidiGenerateContentServerContent`                    |
+| Content                    | Response text done                  | `response.text.done`     | `-`                    |
+| Content                    | Response audio transcript delta     | `response.audio_transcript.delta` | `BidiGenerateContentServerContent`                    |
+| Content                    | Response audio transcript done      | `response.audio_transcript.done` | `-`                    |
+| Content                    | Response audio delta                | `response.audio.delta`   | `BidiGenerateContentServerContent`                    |
+| Content                    | Response audio done                 | `response.audio.done`    | `-`                    |
+| Content                    | Response function call arguments delta | `response.function_call_arguments.delta` | `BidiGenerateContentToolCall`                    |
+| Content                    | Response function call arguments done | `response.function_call_arguments.done` | `-`                    |
+| Control                    | Function call cancelled               | `-`                   | `BidiGenerateContentToolCallCancellation` |
+| Control                    | Rate limits updated                 | `rate_limits.updated`   | `-`                    |
+
+
+<!-- This is an optional element. Feel free to remove. -->
+
+## Decision Drivers
+
+- Simple programming model that is likely able to handle future realtime api's and evolution of the existing ones.
+- Support for the most common scenario's and content, extensible for the rest.
+- Natively integrated with Semantic Kernel especially for content types and function calling.
+
+- … <!-- numbers of drivers can vary -->
+
+## Considered Options
+
+Both the sending and receiving side of these integrations need to decide how to deal with the api's.
+
+- Treat content events separate from control events
+- Treat everything as content items
+- Treat everything as events
+
+### Treat content events separate from control events
+This would mean there are two mechanisms in the clients, one deals with content, and one with control events.
+
+- Pro:
+    - strongly typed responses for known content
+    - easy to use as the main interactions are clear with familiar SK content types, the rest goes through a separate mechanism
+- Con:
+    - new content support requires updates in the codebase and can be considered breaking (potentitally sending additional types back)
+    - additional complexity in dealing with two streams of data
+
+### Treat everything as content items
+
+
+## Decision Outcome
+
+Chosen option: "{title of option 1}", because
+{justification. e.g., only option, which meets k.o. criterion decision driver | which resolves force {force} | … | comes out best (see below)}.
+
+<!-- This is an optional element. Feel free to remove. -->
+
+### Consequences
+
+- Good, because {positive consequence, e.g., improvement of one or more desired qualities, …}
+- Bad, because {negative consequence, e.g., compromising one or more desired qualities, …}
+- … <!-- numbers of consequences can vary -->
+
+<!-- This is an optional element. Feel free to remove. -->
+
+## Validation
+
+{describe how the implementation of/compliance with the ADR is validated. E.g., by a review or an ArchUnit test}
+
+<!-- This is an optional element. Feel free to remove. -->
+
+## Pros and Cons of the Options
+
+### {title of option 1}
+
+<!-- This is an optional element. Feel free to remove. -->
+
+{example | description | pointer to more information | …}
+
+- Good, because {argument a}
+- Good, because {argument b}
+<!-- use "neutral" if the given argument weights neither for good nor bad -->
+- Neutral, because {argument c}
+- Bad, because {argument d}
+- … <!-- numbers of pros and cons can vary -->
+
+### {title of other option}
+
+{example | description | pointer to more information | …}
+
+- Good, because {argument a}
+- Good, because {argument b}
+- Neutral, because {argument c}
+- Bad, because {argument d}
+- …
+
+<!-- This is an optional element. Feel free to remove. -->
+
+## More Information
+
+{You might want to provide additional evidence/confidence for the decision outcome here and/or
+document the team agreement on the decision and/or
+define when this decision when and how the decision should be realized and if/when it should be re-visited and/or
+how the decision is validated.
+Links to other decisions and resources might appear here as well.}
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 87af8b700793..83de01e2d341 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -61,7 +61,8 @@ chroma = [
 ]
 google = [
     "google-cloud-aiplatform ~= 1.60",
-    "google-generativeai ~= 0.7"
+    "google-generativeai ~= 0.7",
+    "google-genai ~= 0.4"
 ]
 hugging_face = [
     "transformers[torch] ~= 4.28",
diff --git a/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py b/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py
index 480e2ed1373f..a26237b78b84 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/prompt_execution_settings/open_ai_realtime_execution_settings.py
@@ -9,6 +9,12 @@
 from semantic_kernel.kernel_pydantic import KernelBaseModel
 
 
+class InputAudioTranscription(KernelBaseModel):
+    """Input audio transcription settings."""
+
+    model: Literal["whisper-1"] | None = None
+
+
 class TurnDetection(KernelBaseModel):
     """Turn detection settings."""
 
@@ -28,7 +34,7 @@ class OpenAIRealtimeExecutionSettings(PromptExecutionSettings):
     voice: str | None = None
     input_audio_format: Literal["pcm16", "g711_ulaw", "g711_alaw"] | None = None
     output_audio_format: Literal["pcm16", "g711_ulaw", "g711_alaw"] | None = None
-    input_audio_transcription: dict[str, Any] | None = None
+    input_audio_transcription: InputAudioTranscription | None = None
     turn_detection: TurnDetection | None = None
     tools: Annotated[
         list[dict[str, Any]] | None,
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
index 4175d9449b2e..64b647f44ee8 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -100,7 +100,7 @@ class ListenEvents(str, Enum):
     CONVERSATION_ITEM_TRUNCATED = "conversation.item.truncated"
     CONVERSATION_ITEM_DELETED = "conversation.item.deleted"
     RESPONSE_CREATED = "response.created"
-    RESPONSE_DONE = "response.done"
+    RESPONSE_DONE = "response.done"  # contains usage info -> log
     RESPONSE_OUTPUT_ITEM_ADDED = "response.output_item.added"
     RESPONSE_OUTPUT_ITEM_DONE = "response.output_item.done"
     RESPONSE_CONTENT_PART_ADDED = "response.content_part.added"
@@ -421,6 +421,8 @@ async def response_function_call_arguments_done_callback(
             chat_history = ChatHistory()
             await kernel.invoke_function_call(item, chat_history)
             await self.send_event(SendEvents.CONVERSATION_ITEM_CREATE, item=chat_history.messages[-1])
+            # The model doesn't start responding to the tool call automatically, so triggering it here.
+            await self.send_event(SendEvents.RESPONSE_CREATE)
         return chat_history.messages[-1], False
 
     def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
diff --git a/python/uv.lock b/python/uv.lock
index 49106ae296cc..b43b44b6f9ea 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -1,18 +1,18 @@
 version = 1
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.13' and sys_platform == 'darwin'",
-    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
-    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
     "python_full_version < '3.11' and sys_platform == 'darwin'",
-    "python_full_version >= '3.13' and sys_platform == 'linux'",
-    "python_full_version == '3.12.*' and sys_platform == 'linux'",
-    "python_full_version == '3.11.*' and sys_platform == 'linux'",
+    "python_full_version == '3.11.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.12.*' and sys_platform == 'darwin'",
+    "python_full_version >= '3.13' and sys_platform == 'darwin'",
     "python_full_version < '3.11' and sys_platform == 'linux'",
-    "python_full_version >= '3.13' and sys_platform == 'win32'",
-    "python_full_version == '3.12.*' and sys_platform == 'win32'",
-    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'linux'",
+    "python_full_version == '3.12.*' and sys_platform == 'linux'",
+    "python_full_version >= '3.13' and sys_platform == 'linux'",
     "python_full_version < '3.11' and sys_platform == 'win32'",
+    "python_full_version == '3.11.*' and sys_platform == 'win32'",
+    "python_full_version == '3.12.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.13' and sys_platform == 'win32'",
 ]
 supported-markers = [
     "sys_platform == 'darwin'",
@@ -414,30 +414,30 @@ wheels = [
 
 [[package]]
 name = "boto3"
-version = "1.35.95"
+version = "1.35.96"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "botocore", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "jmespath", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "s3transfer", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/97/b5/b961eb4d803ade4c90113b254630482f59a5d89b84e6939c9d4c7893d0c7/boto3-1.35.95.tar.gz", hash = "sha256:d5671226819f6a78e31b1f37bd60f194afb8203254a543d06bdfb76de7d79236", size = 111014 }
+sdist = { url = "https://files.pythonhosted.org/packages/fc/6c/ea481adf32791472885664224ac8e5269a4429db2e510d9fa56c493407e9/boto3-1.35.96.tar.gz", hash = "sha256:bace02ef2181d176cedc1f8f90c95c301bb7c555db124cf80bc193cbb52a7c64", size = 110999 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/3a/e1/1910792d5eceff426bd9048c454766df720cb0fd26473907fbfd1c64d518/boto3-1.35.95-py3-none-any.whl", hash = "sha256:c81223488607457dacb7829ee0c99803c664593b34a2b0f86c71d421e7c3469a", size = 139182 },
+    { url = "https://files.pythonhosted.org/packages/17/07/a1da47e567f7550783a6def2b1840d1b69c1f0cd4933e6f1c5942ff4a6c6/boto3-1.35.96-py3-none-any.whl", hash = "sha256:e6acb2380791b13d8fd55062d9bbc6e27c3ddb3e73cff71c4ca02e6743780c67", size = 139181 },
 ]
 
 [[package]]
 name = "botocore"
-version = "1.35.95"
+version = "1.35.96"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jmespath", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "python-dateutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "urllib3", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d8/b7/1cf5da213ce2e00a5bcd480a9355aa23f787e11ef63eecb637bd7e48deef/botocore-1.35.95.tar.gz", hash = "sha256:b03d2d7cc58a16aa96a7e8f21941b766e98abc6ea74f61a63de7dc26c03641d3", size = 13489115 }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/b2/9b2558e3f0094eb4829338bca777fc0747ad69fa8fe0b5f692d7e4e86bea/botocore-1.35.96.tar.gz", hash = "sha256:385fd406ed14bdd624e082d3e15dd6575d490d5d7374fb02f0a798c3ca9ea802", size = 13488154 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/cf/97/e001bbab0773b66a5512022cc26deb82b8743f16ba5662fe762019c4c52c/botocore-1.35.95-py3-none-any.whl", hash = "sha256:a672406f748ad6a5b2fb7ea0d8394539eb4fda5332fc5373467d232c4bb27b12", size = 13289333 },
+    { url = "https://files.pythonhosted.org/packages/65/bc/9ba93a90b3f53afdd5d27c4a0b7bc19b5b9d6ad0e1489b4c5cd47ef6fbe4/botocore-1.35.96-py3-none-any.whl", hash = "sha256:b5f4cf11372aeccf87bb0b6148a020212c4c42fb5bcdebb6590bb10f6612b98e", size = 13289712 },
 ]
 
 [[package]]
@@ -646,7 +646,7 @@ wheels = [
 
 [[package]]
 name = "chromadb"
-version = "0.5.20"
+version = "0.6.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "bcrypt", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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 ]
 
 [[package]]
@@ -4783,6 +4774,7 @@ dapr = [
 ]
 google = [
     { name = "google-cloud-aiplatform", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "google-genai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "google-generativeai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 hugging-face = [
@@ -4872,6 +4864,7 @@ requires-dist = [
     { name = "defusedxml", specifier = "~=0.7" },
     { name = "flask-dapr", marker = "extra == 'dapr'", specifier = ">=1.14.0" },
     { name = "google-cloud-aiplatform", marker = "extra == 'google'", specifier = "~=1.60" },
+    { name = "google-genai", marker = "extra == 'google'", specifier = "~=0.4" },
     { name = "google-generativeai", marker = "extra == 'google'", specifier = "~=0.7" },
     { name = "ipykernel", marker = "extra == 'notebooks'", specifier = "~=6.29" },
     { name = "jinja2", specifier = "~=3.1" },
@@ -5440,11 +5433,11 @@ wheels = [
 
 [[package]]
 name = "types-setuptools"
-version = "75.6.0.20241223"
+version = "75.8.0.20250110"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/f7/42/5713e90d4f9683f2301d900f33e4fc2405ad8ac224dda30f6cb7f4cd215b/types_setuptools-75.8.0.20250110.tar.gz", hash = "sha256:96f7ec8bbd6e0a54ea180d66ad68ad7a1d7954e7281a710ea2de75e355545271", size = 48185 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/cf/a3/dbfd106751b11c728cec21cc62cbfe7ff7391b935c4b6e8f0bdc2e6fd541/types_setuptools-75.8.0.20250110-py3-none-any.whl", hash = "sha256:a9f12980bbf9bcdc23ecd80755789085bad6bfce4060c2275bc2b4ca9f2bc480", size = 71521 },
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 [[package]]

From c83eb6c666606853c224de89ca9ed170e976a726 Mon Sep 17 00:00:00 2001
From: Eduard van Valkenburg <github@vanvalkenburg.eu>
Date: Fri, 10 Jan 2025 16:59:35 +0100
Subject: [PATCH 06/15] small updates

---
 docs/decisions/00XX-realtime-api-clients.md   | 90 ++++++++++---------
 .../audio/04-chat_with_realtime_api.py        |  9 +-
 2 files changed, 51 insertions(+), 48 deletions(-)

diff --git a/docs/decisions/00XX-realtime-api-clients.md b/docs/decisions/00XX-realtime-api-clients.md
index 81d9d6fdf4e7..8dff5f882cf6 100644
--- a/docs/decisions/00XX-realtime-api-clients.md
+++ b/docs/decisions/00XX-realtime-api-clients.md
@@ -23,51 +23,51 @@ One feature that we need to consider if and how to deal with is whether or not a
 ### Event types
 
 Client side events:
-| **Content/Control event**  | **Event Description**               | **OpenAI Event**        | **Google Event**       |
-|-------------------| ------------------------------------|-------------------------|------------------------|
- | Control  | Configure session                    | `session.update`            | `BidiGenerateContentSetup`           |
- | Content | Send voice input                    | `input_audio_buffer.append`            | `BidiGenerateContentRealtimeInput`           |
- | Control  | Commit input and request response   | `input_audio_buffer.commit`          | `-`         |
- | Control | Clean audio input buffer            | `input_audio_buffer.clear`           | `-`          |
- | Content  | Send text input                     | `conversation.item.create`             | `BidiGenerateContentClientContent`            |
-   | Control | Interrupt audio       | `conversation.item.truncate` | `-`|
-   | Control | Delete content       | `conversation.item.delete` | `-`|
-| Control | Respond to function call request | `conversation.item.create` | `BidiGenerateContentToolResponse`|
-| Control | Ask for response | `response.create` | `-`|
-| Control | Cancel response | `response.cancel` | `-`|
+| **Content/Control event** | **Event Description**             | **OpenAI Event**             | **Google Event**                   |
+| ------------------------- | --------------------------------- | ---------------------------- | ---------------------------------- |
+| Control                   | Configure session                 | `session.update`             | `BidiGenerateContentSetup`         |
+| Content                   | Send voice input                  | `input_audio_buffer.append`  | `BidiGenerateContentRealtimeInput` |
+| Control                   | Commit input and request response | `input_audio_buffer.commit`  | `-`                                |
+| Control                   | Clean audio input buffer          | `input_audio_buffer.clear`   | `-`                                |
+| Content                   | Send text input                   | `conversation.item.create`   | `BidiGenerateContentClientContent` |
+| Control                   | Interrupt audio                   | `conversation.item.truncate` | `-`                                |
+| Control                   | Delete content                    | `conversation.item.delete`   | `-`                                |
+| Control                   | Respond to function call request  | `conversation.item.create`   | `BidiGenerateContentToolResponse`  |
+| Control                   | Ask for response                  | `response.create`            | `-`                                |
+| Control                   | Cancel response                   | `response.cancel`            | `-`                                |
 
 Server side events:
-| **Content/Control event**  | **Event Description**               | **OpenAI Event**        | **Google Event**       |
-|----------------------------|-------------------------------------|-------------------------|------------------------|
-| Control                    | Error                               | `error`                 | `-`                    |
-| Control                    | Session created                     | `session.created`       | `BidiGenerateContentSetupComplete`                    |
-| Control                    | Session updated                     | `session.updated`       | `BidiGenerateContentSetupComplete`                    |
-| Control                    | Conversation created                | `conversation.created`  | `-`                    |
-| Control                    | Input audio buffer committed        | `input_audio_buffer.committed` | `-`                    |
-| Control                    | Input audio buffer cleared          | `input_audio_buffer.cleared` | `-`                    |
-| Control                    | Input audio buffer speech started   | `input_audio_buffer.speech_started` | `-`                    |
-| Control                    | Input audio buffer speech stopped   | `input_audio_buffer.speech_stopped` | `-`                    |
-| Content                    | Conversation item created           | `conversation.item.created` | `-`                    |
-| Content                    | Input audio transcription completed | `conversation.item.input_audio_transcription.completed` | 
-| Content                    | Input audio transcription failed    | `conversation.item.input_audio_transcription.failed` | 
-| Control                    | Conversation item truncated         | `conversation.item.truncated` | `-`                    |
-| Control                    | Conversation item deleted           | `conversation.item.deleted` | `-`                    |
-| Control                    | Response created                    | `response.created`       | `-`                    |
-| Control                    | Response done                       | `response.done`          | `-`                    |
-| Content                    | Response output item added          | `response.output_item.added` | `-`                    |
-| Content                    | Response output item done           | `response.output_item.done` | `-`                    |
-| Content                    | Response content part added         | `response.content_part.added` | `-`                    |
-| Content                    | Response content part done          | `response.content_part.done` | `-`                    |
-| Content                    | Response text delta                 | `response.text.delta`    | `BidiGenerateContentServerContent`                    |
-| Content                    | Response text done                  | `response.text.done`     | `-`                    |
-| Content                    | Response audio transcript delta     | `response.audio_transcript.delta` | `BidiGenerateContentServerContent`                    |
-| Content                    | Response audio transcript done      | `response.audio_transcript.done` | `-`                    |
-| Content                    | Response audio delta                | `response.audio.delta`   | `BidiGenerateContentServerContent`                    |
-| Content                    | Response audio done                 | `response.audio.done`    | `-`                    |
-| Content                    | Response function call arguments delta | `response.function_call_arguments.delta` | `BidiGenerateContentToolCall`                    |
-| Content                    | Response function call arguments done | `response.function_call_arguments.done` | `-`                    |
-| Control                    | Function call cancelled               | `-`                   | `BidiGenerateContentToolCallCancellation` |
-| Control                    | Rate limits updated                 | `rate_limits.updated`   | `-`                    |
+| **Content/Control event** | **Event Description**                  | **OpenAI Event**                                        | **Google Event**                          |
+| ------------------------- | -------------------------------------- | ------------------------------------------------------- | ----------------------------------------- |
+| Control                   | Error                                  | `error`                                                 | `-`                                       |
+| Control                   | Session created                        | `session.created`                                       | `BidiGenerateContentSetupComplete`        |
+| Control                   | Session updated                        | `session.updated`                                       | `BidiGenerateContentSetupComplete`        |
+| Control                   | Conversation created                   | `conversation.created`                                  | `-`                                       |
+| Control                   | Input audio buffer committed           | `input_audio_buffer.committed`                          | `-`                                       |
+| Control                   | Input audio buffer cleared             | `input_audio_buffer.cleared`                            | `-`                                       |
+| Control                   | Input audio buffer speech started      | `input_audio_buffer.speech_started`                     | `-`                                       |
+| Control                   | Input audio buffer speech stopped      | `input_audio_buffer.speech_stopped`                     | `-`                                       |
+| Content                   | Conversation item created              | `conversation.item.created`                             | `-`                                       |
+| Content                   | Input audio transcription completed    | `conversation.item.input_audio_transcription.completed` |
+| Content                   | Input audio transcription failed       | `conversation.item.input_audio_transcription.failed`    |
+| Control                   | Conversation item truncated            | `conversation.item.truncated`                           | `-`                                       |
+| Control                   | Conversation item deleted              | `conversation.item.deleted`                             | `-`                                       |
+| Control                   | Response created                       | `response.created`                                      | `-`                                       |
+| Control                   | Response done                          | `response.done`                                         | `-`                                       |
+| Content                   | Response output item added             | `response.output_item.added`                            | `-`                                       |
+| Content                   | Response output item done              | `response.output_item.done`                             | `-`                                       |
+| Content                   | Response content part added            | `response.content_part.added`                           | `-`                                       |
+| Content                   | Response content part done             | `response.content_part.done`                            | `-`                                       |
+| Content                   | Response text delta                    | `response.text.delta`                                   | `BidiGenerateContentServerContent`        |
+| Content                   | Response text done                     | `response.text.done`                                    | `-`                                       |
+| Content                   | Response audio transcript delta        | `response.audio_transcript.delta`                       | `BidiGenerateContentServerContent`        |
+| Content                   | Response audio transcript done         | `response.audio_transcript.done`                        | `-`                                       |
+| Content                   | Response audio delta                   | `response.audio.delta`                                  | `BidiGenerateContentServerContent`        |
+| Content                   | Response audio done                    | `response.audio.done`                                   | `-`                                       |
+| Content                   | Response function call arguments delta | `response.function_call_arguments.delta`                | `BidiGenerateContentToolCall`             |
+| Content                   | Response function call arguments done  | `response.function_call_arguments.done`                 | `-`                                       |
+| Control                   | Function call cancelled                | `-`                                                     | `BidiGenerateContentToolCallCancellation` |
+| Control                   | Rate limits updated                    | `rate_limits.updated`                                   | `-`                                       |
 
 
 <!-- This is an optional element. Feel free to remove. -->
@@ -77,6 +77,7 @@ Server side events:
 - Simple programming model that is likely able to handle future realtime api's and evolution of the existing ones.
 - Support for the most common scenario's and content, extensible for the rest.
 - Natively integrated with Semantic Kernel especially for content types and function calling.
+- Support multiple types of connections, like websocket and WebRTC
 
 - … <!-- numbers of drivers can vary -->
 
@@ -94,8 +95,9 @@ This would mean there are two mechanisms in the clients, one deals with content,
 - Pro:
     - strongly typed responses for known content
     - easy to use as the main interactions are clear with familiar SK content types, the rest goes through a separate mechanism
+    - this might fit better with something like WebRTC that has distinct channels for audio and video vs a data stream for all other events
 - Con:
-    - new content support requires updates in the codebase and can be considered breaking (potentitally sending additional types back)
+    - new content support requires updates in the codebase and can be considered breaking (potentially sending additional types back)
     - additional complexity in dealing with two streams of data
 
 ### Treat everything as content items
diff --git a/python/samples/concepts/audio/04-chat_with_realtime_api.py b/python/samples/concepts/audio/04-chat_with_realtime_api.py
index bffbad691716..3aa2a8f52b10 100644
--- a/python/samples/concepts/audio/04-chat_with_realtime_api.py
+++ b/python/samples/concepts/audio/04-chat_with_realtime_api.py
@@ -47,7 +47,7 @@ def check_audio_devices():
     print(sd.query_devices())
 
 
-# check_audio_devices()
+check_audio_devices()
 
 
 class Speaker:
@@ -106,6 +106,7 @@ def __init__(self, audio_recorder: AudioRecorderStream, realtime_client: Realtim
         self.realtime_client = realtime_client
 
     async def record_audio(self):
+        await self.realtime_client.send_event("response.create")
         with contextlib.suppress(asyncio.CancelledError):
             async for content in self.audio_recorder.stream_audio_content():
                 if content.data:
@@ -150,8 +151,8 @@ async def main() -> None:
     realtime_client.register_event_handler("response.created", response_created_callback)
 
     # create the speaker and microphone
-    speaker = Speaker(AudioPlayerAsync(device_id=7), realtime_client, kernel)
-    microphone = Microphone(AudioRecorderStream(device_id=2), realtime_client)
+    speaker = Speaker(AudioPlayerAsync(device_id=None), realtime_client, kernel)
+    microphone = Microphone(AudioRecorderStream(device_id=None), realtime_client)
 
     # Create the settings for the session
     # the key thing to decide on is to enable the server_vad turn detection
@@ -186,7 +187,7 @@ async def main() -> None:
 
 if __name__ == "__main__":
     print(
-        "Instruction: start speaking, when you stop the API should detect you finished and start responding."
+        "Instruction: start speaking, when you stop the API should detect you finished and start responding. "
         "Press ctrl + c to stop the program."
     )
     asyncio.run(main())

From 2bfa78281ca9dd9650cbe9ac3e803fe7aaef2047 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Tue, 14 Jan 2025 15:45:04 +0100
Subject: [PATCH 07/15] webrtc WIP

---
 docs/decisions/00XX-realtime-api-clients.md   |  23 +-
 python/pyproject.toml                         |   1 +
 .../audio/04-chat_with_realtime_api.py        | 121 ++++--
 .../concepts/audio/audio_player_async.py      |   4 +-
 .../concepts/audio/audio_recorder_stream.py   |  23 +-
 .../connectors/ai/open_ai/__init__.py         |   3 +-
 .../ai/open_ai/services/open_ai_realtime.py   |  59 ++-
 .../open_ai/services/open_ai_realtime_base.py | 405 +++++++++++++++++-
 .../connectors/ai/realtime_client_base.py     |  74 ++--
 .../semantic_kernel/contents/audio_content.py |   6 +
 .../contents/binary_content.py                |  39 +-
 .../contents/utils/data_uri.py                |  27 +-
 python/uv.lock                                |  69 +--
 13 files changed, 701 insertions(+), 153 deletions(-)

diff --git a/docs/decisions/00XX-realtime-api-clients.md b/docs/decisions/00XX-realtime-api-clients.md
index 8dff5f882cf6..1b0bbd2d6c52 100644
--- a/docs/decisions/00XX-realtime-api-clients.md
+++ b/docs/decisions/00XX-realtime-api-clients.md
@@ -14,13 +14,21 @@ informed:
 
 Multiple model providers are starting to enable realtime voice-to-voice communication with their models, this includes OpenAI with their [Realtime API](https://openai.com/index/introducing-the-realtime-api/) and [Google Gemini](https://ai.google.dev/api/multimodal-live). These API's promise some very interesting new ways of using LLM's in different settings, which we want to enable with Semantic Kernel. The key addition that Semantic Kernel brings into this system is the ability to (re)use Semantic Kernel function as tools with these API's. 
 
-The way these API's work at this time is through either websockets or WebRTC. In both cases there are events being sent to and from the service, some events contain content, text, audio, or video (so far only sending, not receiving), while some events are "control" events, like content created, function call requested, etc. Sending events include, sending content, either voice, text or function call output, or events, like committing the input audio and requesting a response. 
+The way these API's work at this time is through either Websockets or WebRTC. 
+
+In both cases there are events being sent to and from the service, some events contain content, text, audio, or video (so far only sending, not receiving), while some events are "control" events, like content created, function call requested, etc. Sending events include, sending content, either voice, text or function call output, or events, like committing the input audio and requesting a response. 
+
+### Websocket
+Websocket has been around for a while and is a well known technology, it is a full-duplex communication protocol over a single, long-lived connection. It is used for sending and receiving messages between client and server in real-time. Each event can contain a message, which might contain a content item, or a control event.
+
+### WebRTC
+WebRTC is a Mozilla project that provides web browsers and mobile applications with real-time communication via simple application programming interfaces (APIs). It allows audio and video communication to work inside web pages by allowing direct peer-to-peer communication, eliminating the need to install plugins or download native apps. It is used for sending and receiving audio and video streams, and can be used for sending messages as well. The big difference compared to websockets is that it does explicitly create a channel for audio and video, and a separate channel for "data", which are events but also things like Function calls.
 
 Both the OpenAI and Google realtime api's are in preview/beta, this means there might be breaking changes in the way they work coming in the future, therefore the clients built to support these API's are going to be experimental until the API's stabilize.
 
 One feature that we need to consider if and how to deal with is whether or not a service uses Voice Activated Detection, OpenAI supports turning that off and allows parameters for how it behaves, while Google has it on by default and it cannot be configured.
 
-### Event types
+### Event types (websocket and partially webrtc)
 
 Client side events:
 | **Content/Control event** | **Event Description**             | **OpenAI Event**             | **Google Event**                   |
@@ -48,8 +56,8 @@ Server side events:
 | Control                   | Input audio buffer speech started      | `input_audio_buffer.speech_started`                     | `-`                                       |
 | Control                   | Input audio buffer speech stopped      | `input_audio_buffer.speech_stopped`                     | `-`                                       |
 | Content                   | Conversation item created              | `conversation.item.created`                             | `-`                                       |
-| Content                   | Input audio transcription completed    | `conversation.item.input_audio_transcription.completed` |
-| Content                   | Input audio transcription failed       | `conversation.item.input_audio_transcription.failed`    |
+| Content                   | Input audio transcription completed    | `conversation.item.input_audio_transcription.completed` |                                           |
+| Content                   | Input audio transcription failed       | `conversation.item.input_audio_transcription.failed`    |                                           |
 | Control                   | Conversation item truncated            | `conversation.item.truncated`                           | `-`                                       |
 | Control                   | Conversation item deleted              | `conversation.item.deleted`                             | `-`                                       |
 | Control                   | Response created                       | `response.created`                                      | `-`                                       |
@@ -70,16 +78,15 @@ Server side events:
 | Control                   | Rate limits updated                    | `rate_limits.updated`                                   | `-`                                       |
 
 
-<!-- This is an optional element. Feel free to remove. -->
-
 ## Decision Drivers
 
 - Simple programming model that is likely able to handle future realtime api's and evolution of the existing ones.
 - Support for the most common scenario's and content, extensible for the rest.
 - Natively integrated with Semantic Kernel especially for content types and function calling.
 - Support multiple types of connections, like websocket and WebRTC
-
-- … <!-- numbers of drivers can vary -->
+  
+## Decision driver questions
+- For WebRTC, a audio device can be passed, should this be a requirement for the client also for websockets?
 
 ## Considered Options
 
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 83de01e2d341..17ada1c6c4a8 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -45,6 +45,7 @@ dependencies = [
     "pybars4 ~= 0.9",
     "jinja2 ~= 3.1",
     "nest-asyncio ~= 1.6",
+    "taskgroup >= 0.2.2; python_version < '3.11'",
 ]
 
 ### Optional dependencies
diff --git a/python/samples/concepts/audio/04-chat_with_realtime_api.py b/python/samples/concepts/audio/04-chat_with_realtime_api.py
index 3aa2a8f52b10..40f16a2c0a24 100644
--- a/python/samples/concepts/audio/04-chat_with_realtime_api.py
+++ b/python/samples/concepts/audio/04-chat_with_realtime_api.py
@@ -5,6 +5,9 @@
 import signal
 from typing import Any
 
+import numpy as np
+from aiortc.mediastreams import MediaStreamError, MediaStreamTrack
+from av import AudioFrame
 from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
 
 from samples.concepts.audio.audio_player_async import AudioPlayerAsync
@@ -12,8 +15,8 @@
 from semantic_kernel import Kernel
 from semantic_kernel.connectors.ai import FunctionChoiceBehavior
 from semantic_kernel.connectors.ai.open_ai import (
-    OpenAIRealtime,
     OpenAIRealtimeExecutionSettings,
+    OpenAIRealtimeWebRTC,
     TurnDetection,
 )
 from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
@@ -69,52 +72,77 @@ async def play(
     ) -> None:
         # reset the frame count for the audio player
         self.audio_player.reset_frame_count()
-        # open the connection to the realtime api
-        async with self.realtime_client as client:
-            # update the session with the chat_history and settings
-            await client.update_session(settings=settings, chat_history=chat_history)
-            # print the start message of the transcript
-            if print_transcript:
-                print("Mosscap (transcript): ", end="")
-            try:
-                # start listening for events
-                async for content in self.realtime_client.event_listener(settings=settings, kernel=self.kernel):
-                    if not content:
-                        continue
-                    # the contents returned should be StreamingChatMessageContent
-                    # so we will loop through the items within it.
-                    for item in content.items:
-                        match item:
-                            case StreamingTextContent():
-                                if print_transcript:
-                                    print(item.text, end="")
-                                await asyncio.sleep(0.01)
-                                continue
-                            case AudioContent():
-                                self.audio_player.add_data(item.data)
-                                await asyncio.sleep(0.01)
-                                continue
-            except asyncio.CancelledError:
-                print("\nThanks for talking to Mosscap!")
-
-
-class Microphone:
+        # print the start message of the transcript
+        if print_transcript:
+            print("Mosscap (transcript): ", end="")
+        try:
+            # start listening for events
+            while True:
+                _, content = await self.realtime_client.output_buffer.get()
+                if not content:
+                    continue
+                # the contents returned should be StreamingChatMessageContent
+                # so we will loop through the items within it.
+                for item in content.items:
+                    match item:
+                        case StreamingTextContent():
+                            if print_transcript:
+                                print(item.text, end="")
+                            await asyncio.sleep(0.01)
+                            continue
+                        case AudioContent():
+                            self.audio_player.add_data(item.data)
+                            await asyncio.sleep(0.01)
+                            continue
+        except asyncio.CancelledError:
+            print("\nThanks for talking to Mosscap!")
+
+
+class Microphone(MediaStreamTrack):
     """This is a simple class that opens the microphone and sends the audio to the realtime api."""
 
+    kind = "audio"
+
     def __init__(self, audio_recorder: AudioRecorderStream, realtime_client: RealtimeClientBase):
         self.audio_recorder = audio_recorder
         self.realtime_client = realtime_client
+        self.queue = asyncio.Queue()
+        self.loop = asyncio.get_running_loop()
+        self._pts = 0
+
+    async def recv(self) -> Any:
+        # start the audio recording
+        try:
+            return await self.queue.get()
+        except Exception as e:
+            logger.error(f"Error receiving audio frame: {str(e)}")
+            raise MediaStreamError("Failed to receive audio frame")
 
     async def record_audio(self):
-        await self.realtime_client.send_event("response.create")
-        with contextlib.suppress(asyncio.CancelledError):
-            async for content in self.audio_recorder.stream_audio_content():
-                if content.data:
-                    await self.realtime_client.send_event(
-                        "input_audio_buffer.append",
-                        content=content,
-                    )
-                await asyncio.sleep(0.01)
+        def callback(indata, frames, time, status):
+            if status:
+                logger.warning(f"Audio input status: {status}")
+            audio_data = indata.copy()
+
+            if audio_data.dtype != np.int16:
+                audio_data = (audio_data * 32767).astype(np.int16)
+
+            # Create AudioFrame with incrementing pts
+            frame = AudioFrame(
+                samples=len(audio_data),
+                layout="mono",
+                format="s16",  # 16-bit signed integer
+            )
+            frame.rate = 48000
+            frame.pts = self._pts
+            self._pts += len(audio_data)  # Increment pts by frame size
+
+            frame.planes[0].update(audio_data.tobytes())
+
+            asyncio.run_coroutine_threadsafe(self.queue.put(frame), self.loop)
+
+        await self.realtime_client.input_buffer.put("response.create")
+        await self.audio_recorder.stream_audio_content_with_callback(callback=callback)
 
 
 # this function is used to stop the processes when ctrl + c is pressed
@@ -147,7 +175,7 @@ async def main() -> None:
     kernel.add_function(plugin_name="weather", function_name="get_weather", function=get_weather)
 
     # create the realtime client and register the response created callback
-    realtime_client = OpenAIRealtime(ai_model_id="gpt-4o-realtime-preview-2024-12-17")
+    realtime_client = OpenAIRealtimeWebRTC(ai_model_id="gpt-4o-realtime-preview-2024-12-17")
     realtime_client.register_event_handler("response.created", response_created_callback)
 
     # create the speaker and microphone
@@ -180,9 +208,14 @@ async def main() -> None:
         turn_detection=TurnDetection(type="server_vad", create_response=True, silence_duration_ms=800, threshold=0.8),
         function_choice_behavior=FunctionChoiceBehavior.Auto(),
     )
-    # start the the speaker and the microphone
-    with contextlib.suppress(asyncio.CancelledError):
-        await asyncio.gather(*[speaker.play(chat_history, settings), microphone.record_audio()])
+    async with realtime_client:
+        await realtime_client.update_session(settings=settings, chat_history=chat_history)
+        await realtime_client.start_listening(settings, chat_history)
+        await realtime_client.start_sending(input_audio_track=microphone)
+        # await realtime_client.start_streaming(settings, chat_history, input_audio_track=microphone)
+        # start the the speaker and the microphone
+        with contextlib.suppress(asyncio.CancelledError):
+            await speaker.play(chat_history, settings)
 
 
 if __name__ == "__main__":
diff --git a/python/samples/concepts/audio/audio_player_async.py b/python/samples/concepts/audio/audio_player_async.py
index a77b8df6e32c..36c1492094a6 100644
--- a/python/samples/concepts/audio/audio_player_async.py
+++ b/python/samples/concepts/audio/audio_player_async.py
@@ -53,10 +53,10 @@ def reset_frame_count(self):
     def get_frame_count(self):
         return self._frame_count
 
-    def add_data(self, data: bytes):
+    def add_data(self, data: bytes | np.ndarray):
         with self.lock:
             # bytes is pcm16 single channel audio data, convert to numpy array
-            np_data = np.frombuffer(data, dtype=np.int16)
+            np_data = np.frombuffer(data, dtype=np.int16) if isinstance(data, bytes) else data
             self.queue.append(np_data)
             if not self.playing:
                 self.start()
diff --git a/python/samples/concepts/audio/audio_recorder_stream.py b/python/samples/concepts/audio/audio_recorder_stream.py
index 55684e9c469b..20c758af3e39 100644
--- a/python/samples/concepts/audio/audio_recorder_stream.py
+++ b/python/samples/concepts/audio/audio_recorder_stream.py
@@ -2,9 +2,10 @@
 
 import asyncio
 import base64
-from collections.abc import AsyncGenerator
+from collections.abc import AsyncGenerator, Callable
 from typing import Any, ClassVar, cast
 
+import sounddevice as sd
 from pydantic import BaseModel
 
 from semantic_kernel.contents.audio_content import AudioContent
@@ -30,9 +31,25 @@ class AudioRecorderStream(BaseModel):
     CHUNK_LENGTH_S: ClassVar[float] = 0.05
     device_id: int | None = None
 
-    async def stream_audio_content(self) -> AsyncGenerator[AudioContent, None]:
-        import sounddevice as sd  # type: ignore
+    async def stream_audio_content_with_callback(self, callback: Callable[..., Any]) -> None:
+        stream = sd.InputStream(
+            channels=self.CHANNELS,
+            samplerate=self.SAMPLE_RATE,
+            dtype="int16",
+            device=self.device_id,
+            callback=callback,
+        )
+        stream.start()
+        try:
+            while True:
+                await asyncio.sleep(0)
+        except KeyboardInterrupt:
+            pass
+        finally:
+            stream.stop()
+            stream.close()
 
+    async def stream_audio_content(self) -> AsyncGenerator[AudioContent, None]:
         # device_info = sd.query_devices()
         # print(device_info)
 
diff --git a/python/semantic_kernel/connectors/ai/open_ai/__init__.py b/python/semantic_kernel/connectors/ai/open_ai/__init__.py
index 27d36ea30d34..2c2a87a64a7b 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/__init__.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/__init__.py
@@ -40,7 +40,7 @@
 from semantic_kernel.connectors.ai.open_ai.services.azure_text_to_image import AzureTextToImage
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_audio_to_text import OpenAIAudioToText
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_chat_completion import OpenAIChatCompletion
-from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime import OpenAIRealtime
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime import OpenAIRealtime, OpenAIRealtimeWebRTC
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_text_completion import OpenAITextCompletion
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_text_embedding import OpenAITextEmbedding
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_text_to_audio import OpenAITextToAudio
@@ -76,6 +76,7 @@
     "OpenAIPromptExecutionSettings",
     "OpenAIRealtime",
     "OpenAIRealtimeExecutionSettings",
+    "OpenAIRealtimeWebRTC",
     "OpenAISettings",
     "OpenAITextCompletion",
     "OpenAITextEmbedding",
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
index 23351d7b6176..39c85816ced3 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
@@ -7,7 +7,10 @@
 
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_config_base import OpenAIConfigBase
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_handler import OpenAIModelTypes
-from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_base import OpenAIRealtimeBase
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_base import (
+    OpenAIRealtimeBase,
+    OpenAIRealtimeWebRTCBase,
+)
 from semantic_kernel.connectors.ai.open_ai.settings.open_ai_settings import OpenAISettings
 from semantic_kernel.exceptions.service_exceptions import ServiceInitializationError
 
@@ -64,3 +67,57 @@ def __init__(
             default_headers=default_headers,
             client=async_client,
         )
+
+
+class OpenAIRealtimeWebRTC(OpenAIRealtimeWebRTCBase, OpenAIConfigBase):
+    """OpenAI Realtime service."""
+
+    def __init__(
+        self,
+        ai_model_id: str | None = None,
+        api_key: str | None = None,
+        org_id: str | None = None,
+        service_id: str | None = None,
+        default_headers: Mapping[str, str] | None = None,
+        async_client: AsyncOpenAI | None = None,
+        env_file_path: str | None = None,
+        env_file_encoding: str | None = None,
+    ) -> None:
+        """Initialize an OpenAITextCompletion service.
+
+        Args:
+            ai_model_id (str | None): OpenAI model name, see
+                https://platform.openai.com/docs/models
+            service_id (str | None): Service ID tied to the execution settings.
+            api_key (str | None): The optional API key to use. If provided will override,
+                the env vars or .env file value.
+            org_id (str | None): The optional org ID to use. If provided will override,
+                the env vars or .env file value.
+            default_headers: The default headers mapping of string keys to
+                string values for HTTP requests. (Optional)
+            async_client (Optional[AsyncOpenAI]): An existing client to use. (Optional)
+            env_file_path (str | None): Use the environment settings file as a fallback to
+                environment variables. (Optional)
+            env_file_encoding (str | None): The encoding of the environment settings file. (Optional)
+        """
+        try:
+            openai_settings = OpenAISettings.create(
+                api_key=api_key,
+                org_id=org_id,
+                text_model_id=ai_model_id,
+                env_file_path=env_file_path,
+                env_file_encoding=env_file_encoding,
+            )
+        except ValidationError as ex:
+            raise ServiceInitializationError("Failed to create OpenAI settings.", ex) from ex
+        if not openai_settings.text_model_id:
+            raise ServiceInitializationError("The OpenAI text model ID is required.")
+        super().__init__(
+            ai_model_id=openai_settings.text_model_id,
+            service_id=service_id,
+            api_key=openai_settings.api_key.get_secret_value() if openai_settings.api_key else None,
+            org_id=openai_settings.org_id,
+            ai_model_type=OpenAIModelTypes.TEXT,
+            default_headers=default_headers,
+            client=async_client,
+        )
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
index 64b647f44ee8..f82bce19164f 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -2,6 +2,7 @@
 
 import asyncio
 import base64
+import json
 import logging
 import sys
 from collections.abc import AsyncGenerator
@@ -14,6 +15,15 @@
 else:
     from typing_extensions import override  # pragma: no cover
 
+from aiohttp import ClientSession
+from aiortc import (
+    MediaStreamTrack,
+    RTCConfiguration,
+    RTCDataChannel,
+    RTCIceServer,
+    RTCPeerConnection,
+    RTCSessionDescription,
+)
 from openai.resources.beta.realtime.realtime import AsyncRealtimeConnection
 from openai.types.beta.realtime.conversation_item_create_event_param import ConversationItemParam
 from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
@@ -152,7 +162,7 @@ def register_event_handler(
         self.event_handlers.setdefault(event_type, []).append(handler)
 
     @override
-    async def event_listener(
+    async def start_listening(
         self,
         settings: "PromptExecutionSettings",
         chat_history: "ChatHistory | None" = None,
@@ -186,7 +196,7 @@ async def event_listener(
             logger.debug(f"Event type: {event_type}, count: {len(self.event_log[event_type])}")
 
     @override
-    async def send_event(self, event: str | SendEvents, **kwargs: Any) -> None:
+    async def start_sending(self, event: str | SendEvents, **kwargs: Any) -> None:
         await self.connected.wait()
         if not self.connection:
             raise ValueError("Connection is not established.")
@@ -299,10 +309,10 @@ async def update_session(
                     self._update_function_choice_settings_callback(),
                     kernel=kwargs.get("kernel"),  # type: ignore
                 )
-            await self.send_event(SendEvents.SESSION_UPDATE, settings=settings)
+            await self.start_sending(SendEvents.SESSION_UPDATE, settings=settings)
         if chat_history and len(chat_history) > 0:
             await asyncio.gather(
-                *(self.send_event(SendEvents.CONVERSATION_ITEM_CREATE, item=msg) for msg in chat_history.messages)
+                *(self.start_sending(SendEvents.CONVERSATION_ITEM_CREATE, item=msg) for msg in chat_history.messages)
             )
 
     @override
@@ -313,6 +323,8 @@ async def close_session(self) -> None:
             self.connection = None
             self.connected.clear()
 
+    # region Event callbacks
+
     def response_audio_delta_callback(
         self,
         event: RealtimeServerEvent,
@@ -420,13 +432,392 @@ async def response_function_call_arguments_done_callback(
         if kernel:
             chat_history = ChatHistory()
             await kernel.invoke_function_call(item, chat_history)
-            await self.send_event(SendEvents.CONVERSATION_ITEM_CREATE, item=chat_history.messages[-1])
+            await self.start_sending(SendEvents.CONVERSATION_ITEM_CREATE, item=chat_history.messages[-1])
+            # The model doesn't start responding to the tool call automatically, so triggering it here.
+            await self.start_sending(SendEvents.RESPONSE_CREATE)
+        return chat_history.messages[-1], False
+
+    # region settings
+
+    @override
+    def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
+        from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (  # noqa
+            OpenAIRealtimeExecutionSettings,
+        )
+
+        return OpenAIRealtimeExecutionSettings
+
+
+@experimental_class
+class OpenAIRealtimeWebRTCBase(OpenAIHandler, RealtimeClientBase):
+    """OpenAI WebRTC Realtime service."""
+
+    SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = True
+    peer_connection: RTCPeerConnection | None = None
+    data_channel: RTCDataChannel | None = None
+    connection: AsyncRealtimeConnection | None = None
+    connected: asyncio.Event = Field(default_factory=asyncio.Event)
+    event_log: dict[str, list[RealtimeServerEvent]] = Field(default_factory=dict)
+    event_handlers: dict[str, list[EventCallBackProtocol | EventCallBackProtocolAsync]] = Field(default_factory=dict)
+
+    def model_post_init(self, *args, **kwargs) -> None:
+        """Post init method for the model."""
+        # Register the default event handlers
+        self.register_event_handler(
+            ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DELTA, self.response_audio_transcript_delta_callback
+        )
+        self.register_event_handler(
+            ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DONE, self.response_audio_transcript_done_callback
+        )
+        self.register_event_handler(
+            ListenEvents.RESPONSE_FUNCTION_CALL_ARGUMENTS_DONE, self.response_function_call_arguments_delta_callback
+        )
+        self.register_event_handler(ListenEvents.ERROR, self.error_callback)
+        self.register_event_handler(ListenEvents.SESSION_CREATED, self.session_callback)
+        self.register_event_handler(ListenEvents.SESSION_UPDATED, self.session_callback)
+
+    def register_event_handler(
+        self, event_type: str | ListenEvents, handler: EventCallBackProtocol | EventCallBackProtocolAsync
+    ) -> None:
+        """Register a event handler."""
+        if not isinstance(event_type, ListenEvents):
+            event_type = ListenEvents(event_type)
+        self.event_handlers.setdefault(event_type, []).append(handler)
+
+    @override
+    async def start_listening(
+        self,
+        settings: "PromptExecutionSettings",
+        chat_history: "ChatHistory | None" = None,
+        **kwargs: Any,
+    ) -> AsyncGenerator[StreamingChatMessageContent, Any]:
+        ice_servers = [RTCIceServer(urls=["stun:stun.l.google.com:19302"])]
+        self.peer_connection = RTCPeerConnection(configuration=RTCConfiguration(iceServers=ice_servers))
+
+        @self.peer_connection.on("track")
+        async def on_track(track: MediaStreamTrack) -> None:
+            if track.kind == "audio":
+                while True:
+                    frame = await track.recv()
+                    await self.output_buffer.put(
+                        (
+                            ListenEvents.RESPONSE_AUDIO_DELTA,
+                            StreamingChatMessageContent(
+                                role=AuthorRole.ASSISTANT,
+                                items=[AudioContent(data=frame.to_ndarray(), data_format="base64")],
+                                choice_index=0,
+                                inner_content=frame,
+                            ),
+                        ),
+                    )
+
+        data_channel = self.peer_connection.createDataChannel("oai-events")
+
+        @data_channel.on("message")
+        async def on_data(data: bytes) -> None:
+            event = RealtimeServerEvent.model_validate_strings(data)
+            event_type = ListenEvents(event.type)
+            self.event_log.setdefault(event_type, []).append(event)
+            for handler in self.event_handlers.get(event_type, []):
+                task = handler(event=event, settings=settings)
+                if not task:
+                    continue
+                if isawaitable(task):
+                    async_result = await task
+                    if not async_result:
+                        continue
+                    result, should_return = async_result
+                else:
+                    result, should_return = task
+                if should_return:
+                    yield result
+                else:
+                    chat_history.add_message(result)
+
+        offer = await self.peer_connection.createOffer()
+        await self.peer_connection.setLocalDescription(offer)
+
+        try:
+            ephemeral_token = await self.get_ephemeral_token()
+            headers = {"Authorization": f"Bearer {ephemeral_token}", "Content-Type": "application/sdp"}
+
+            async with (
+                ClientSession() as session,
+                session.post(
+                    f"{self.client.beta.realtime._client.base_url}/realtime/sessions?model={self.ai_model_id}",
+                    headers=headers,
+                    data=offer.sdp,
+                ) as response,
+            ):
+                if response.status not in [200, 201]:
+                    error_text = await response.text()
+                    raise Exception(f"OpenAI WebRTC error: {error_text}")
+
+                sdp_answer = await response.text()
+                answer = RTCSessionDescription(sdp=sdp_answer, type="answer")
+                await self.peer_connection.setRemoteDescription(answer)
+
+        except Exception as e:
+            logger.error(f"Failed to connect to OpenAI: {e!s}")
+            raise
+
+    @override
+    async def start_sending(self, input_audio_track: MediaStreamTrack | None = None, **kwargs: Any) -> None:
+        if input_audio_track:
+            if not self.peer_connection:
+                raise ValueError("Peer connection is not established.")
+            self.peer_connection.addTransceiver(input_audio_track)
+
+        if not self.data_channel:
+            raise ValueError("Data channel is not established.")
+        while True:
+            item = await self.input_buffer.get()
+            if not item:
+                continue
+            if isinstance(item, tuple):
+                event, data = item
+            else:
+                event = item
+                data = None
+            if not isinstance(event, SendEvents):
+                event = SendEvents(event)
+            response: dict[str, Any] = {
+                "type": event,
+            }
+            match event:
+                case SendEvents.SESSION_UPDATE:
+                    if "settings" not in data:
+                        logger.error("Event data does not contain 'settings'")
+                    response["session"] = data["settings"].prepare_settings_dict()
+                case SendEvents.CONVERSATION_ITEM_CREATE:
+                    if "item" not in data:
+                        logger.error("Event data does not contain 'item'")
+                        return
+                    content = data["item"]
+                    for item in content.items:
+                        match item:
+                            case TextContent():
+                                response["item"] = ConversationItemParam(
+                                    type="message",
+                                    content=[
+                                        {
+                                            "type": "input_text",
+                                            "text": item.text,
+                                        }
+                                    ],
+                                    role="user",
+                                )
+
+                            case FunctionCallContent():
+                                call_id = item.metadata.get("call_id")
+                                if not call_id:
+                                    logger.error("Function call needs to have a call_id")
+                                    continue
+                                response["item"] = ConversationItemParam(
+                                    type="function_call",
+                                    name=item.name,
+                                    arguments=item.arguments,
+                                    call_id=call_id,
+                                )
+
+                            case FunctionResultContent():
+                                call_id = item.metadata.get("call_id")
+                                if not call_id:
+                                    logger.error("Function result needs to have a call_id")
+                                    continue
+                                response["item"] = ConversationItemParam(
+                                    type="function_call_output",
+                                    output=item.result,
+                                    call_id=call_id,
+                                )
+
+                case SendEvents.CONVERSATION_ITEM_TRUNCATE:
+                    if "item_id" not in data:
+                        logger.error("Event data does not contain 'item_id'")
+                        return
+                    response["item_id"] = data["item_id"]
+                    response["content_index"] = 0
+                    response["audio_end_ms"] = data.get("audio_end_ms", 0)
+
+                case SendEvents.CONVERSATION_ITEM_DELETE:
+                    if "item_id" not in data:
+                        logger.error("Event data does not contain 'item_id'")
+                        return
+                    response["item_id"] = data["item_id"]
+                case SendEvents.RESPONSE_CREATE:
+                    if "response" in data:
+                        response["response"] = data["response"]
+                case SendEvents.RESPONSE_CANCEL:
+                    if "response_id" in data:
+                        response["response_id"] = data["response_id"]
+
+            self.data_channel.send(json.dumps(response))
+
+    @override
+    async def create_session(
+        self,
+        settings: PromptExecutionSettings | None = None,
+        chat_history: ChatHistory | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Create a session in the service."""
+        if settings or chat_history or kwargs:
+            await self.update_session(settings=settings, chat_history=chat_history, **kwargs)
+
+    async def get_ephemeral_token(self) -> str:
+        """Get an ephemeral token from OpenAI."""
+        headers = {"Authorization": f"Bearer {self.client.api_key}", "Content-Type": "application/json"}
+        data = {"model": self.ai_model_id, "voice": "echo"}
+
+        try:
+            async with (
+                ClientSession() as session,
+                session.post(
+                    f"{self.client.beta.realtime._client.base_url}/realtime/sessions", headers=headers, json=data
+                ) as response,
+            ):
+                if response.status not in [200, 201]:
+                    error_text = await response.text()
+                    raise Exception(f"Failed to get ephemeral token: {error_text}")
+
+                result = await response.json()
+                return result["client_secret"]["value"]
+
+        except Exception as e:
+            logger.error(f"Failed to get ephemeral token: {e!s}")
+            raise
+
+    @override
+    async def update_session(
+        self, settings: PromptExecutionSettings | None = None, chat_history: ChatHistory | None = None, **kwargs: Any
+    ) -> None:
+        if settings:
+            if "kernel" in kwargs:
+                settings = prepare_settings_for_function_calling(
+                    settings,
+                    self.get_prompt_execution_settings_class(),
+                    self._update_function_choice_settings_callback(),
+                    kernel=kwargs.get("kernel"),  # type: ignore
+                )
+            await self.input_buffer.put((SendEvents.SESSION_UPDATE, {"settings": settings}))
+        if chat_history and len(chat_history) > 0:
+            for msg in chat_history.messages:
+                await self.input_buffer.put((SendEvents.CONVERSATION_ITEM_CREATE, {"item": msg}))
+
+    @override
+    async def close_session(self) -> None:
+        """Close the session in the service."""
+        if self.peer_connection:
+            await self.peer_connection.close()
+        if self.data_channel:
+            await self.data_channel.close()
+        self.peer_connection = None
+        self.data_channel = None
+
+    # region Event callbacks
+
+    def response_audio_transcript_delta_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response audio transcript delta."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[StreamingTextContent(text=event.delta, choice_index=event.content_index)],
+            choice_index=event.content_index,
+            inner_content=event,
+        ), True
+
+    def response_audio_transcript_done_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response audio transcript done."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[StreamingTextContent(text=event.transcript, choice_index=event.content_index)],
+            choice_index=event.content_index,
+            inner_content=event,
+        ), False
+
+    def response_function_call_arguments_delta_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> tuple[Any, bool]:
+        """Handle response function call arguments delta."""
+        return StreamingChatMessageContent(
+            role=AuthorRole.ASSISTANT,
+            items=[
+                FunctionCallContent(
+                    id=event.item_id,
+                    name=event.call_id,
+                    arguments=event.delta,
+                    index=event.output_index,
+                    metadata={"call_id": event.call_id},
+                )
+            ],
+            choice_index=0,
+            inner_content=event,
+        ), True
+
+    def error_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Handle error."""
+        logger.error("Error received: %s", event.error)
+
+    def session_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Handle session."""
+        logger.debug("Session created or updated, session: %s", event.session)
+
+    async def response_function_call_arguments_done_callback(
+        self,
+        event: RealtimeServerEvent,
+        settings: PromptExecutionSettings | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Handle response function call done."""
+        item = FunctionCallContent(
+            id=event.item_id,
+            name=event.call_id,
+            arguments=event.delta,
+            index=event.output_index,
+            metadata={"call_id": event.call_id},
+        )
+        kernel: Kernel | None = kwargs.get("kernel")
+        call_id = item.name
+        function_name = next(
+            output_item_event.item.name
+            for output_item_event in self.event_log[ListenEvents.RESPONSE_OUTPUT_ITEM_ADDED]
+            if output_item_event.item.call_id == call_id
+        )
+        item.plugin_name, item.function_name = function_name.split("-", 1)
+        if kernel:
+            chat_history = ChatHistory()
+            await kernel.invoke_function_call(item, chat_history)
+            await self.input_buffer.put((SendEvents.CONVERSATION_ITEM_CREATE, {"item": chat_history.messages[-1]}))
             # The model doesn't start responding to the tool call automatically, so triggering it here.
-            await self.send_event(SendEvents.RESPONSE_CREATE)
+            await self.input_buffer.put(SendEvents.RESPONSE_CREATE)
         return chat_history.messages[-1], False
 
+    # region settings
+
+    @override
     def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
-        """Get the request settings class."""
         from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (  # noqa
             OpenAIRealtimeExecutionSettings,
         )
diff --git a/python/semantic_kernel/connectors/ai/realtime_client_base.py b/python/semantic_kernel/connectors/ai/realtime_client_base.py
index ebdd4eed3739..c9a48f9d45b0 100644
--- a/python/semantic_kernel/connectors/ai/realtime_client_base.py
+++ b/python/semantic_kernel/connectors/ai/realtime_client_base.py
@@ -1,40 +1,27 @@
 # Copyright (c) Microsoft. All rights reserved.
 
+import sys
 from abc import ABC, abstractmethod
-from collections.abc import AsyncGenerator, Callable
+from asyncio import Queue
+from collections.abc import Callable
 from typing import TYPE_CHECKING, Any, ClassVar
 
+from pydantic import Field
+
+if sys.version_info >= (3, 11):
+    from asyncio import TaskGroup
+else:
+    from taskgroup import TaskGroup
+
 from semantic_kernel.connectors.ai.function_call_choice_configuration import FunctionCallChoiceConfiguration
 from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceType
+from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
 from semantic_kernel.services.ai_service_client_base import AIServiceClientBase
 from semantic_kernel.utils.experimental_decorator import experimental_class
 
 if TYPE_CHECKING:
     from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
     from semantic_kernel.contents.chat_history import ChatHistory
-    from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
-
-####
-# TODO (eavanvalkenburg): Move to ADR
-# Receiving:
-# Option 1: Events and Contents split
-#    - content received through main receive_content method
-#    - events received through event callback handlers
-# Option 2: Everything is Content
-#    - content (events as new Content Type) received through main receive_content method
-# Option 3: Everything is Event (current)
-#    - receive_content method is removed
-#    - events received through main listen method
-#    - default event handlers added for things like errors and function calling
-#   - built-in vs custom event handling - separate or not?
-# Sending:
-# Option 1: Events and Contents split
-#    - send_content and send_event
-# Option 2: Everything is Content
-#    - single method needed, with EventContent type support
-# Option 3: Everything is Event (current)
-#    - send_event method only, Content is part of event data
-####
 
 
 @experimental_class
@@ -42,6 +29,8 @@ class RealtimeClientBase(AIServiceClientBase, ABC):
     """Base class for a realtime client."""
 
     SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = False
+    input_buffer: Queue[tuple[str, dict[str, Any]] | str] = Field(default_factory=Queue)
+    output_buffer: Queue[tuple[str, StreamingChatMessageContent]] = Field(default_factory=Queue)
 
     async def __aenter__(self) -> "RealtimeClientBase":
         """Enter the context manager.
@@ -94,41 +83,50 @@ async def update_session(
         """
         raise NotImplementedError
 
-    @abstractmethod
-    async def event_listener(
+    async def start_streaming(
         self,
         settings: "PromptExecutionSettings | None" = None,
         chat_history: "ChatHistory | None" = None,
         **kwargs: Any,
-    ) -> AsyncGenerator["StreamingChatMessageContent", Any]:
-        """Get text contents from audio.
+    ) -> None:
+        """Start streaming, will start both listening and sending.
+
+        This method, start tasks for both listening and sending.
+
+        The arguments are passed to the start_listening method.
 
         Args:
             settings: Prompt execution settings.
             chat_history: Chat history.
             kwargs: Additional arguments.
-
-        Yields:
-            StreamingChatMessageContent messages
         """
-        raise NotImplementedError
+        async with TaskGroup() as tg:
+            tg.create_task(self.start_listening(settings=settings, chat_history=chat_history, **kwargs))
+            tg.create_task(self.start_sending(**kwargs))
 
     @abstractmethod
-    async def send_event(
+    async def start_listening(
         self,
-        event: str,
-        event_data: dict[str, Any] | None = None,
+        settings: "PromptExecutionSettings | None" = None,
+        chat_history: "ChatHistory | None" = None,
         **kwargs: Any,
     ) -> None:
-        """Send an event to the session.
+        """Starts listening for messages from the service, adds them to the output_buffer.
 
         Args:
-            event: Event name, can be a string or a Enum value.
-            event_data: Event data.
+            settings: Prompt execution settings.
+            chat_history: Chat history.
             kwargs: Additional arguments.
         """
         raise NotImplementedError
 
+    @abstractmethod
+    async def start_sending(
+        self,
+    ) -> None:
+        """Start sending items from the input_buffer to the service."""
+        raise NotImplementedError
+
     def _update_function_choice_settings_callback(
         self,
     ) -> Callable[[FunctionCallChoiceConfiguration, "PromptExecutionSettings", FunctionChoiceType], None]:
diff --git a/python/semantic_kernel/contents/audio_content.py b/python/semantic_kernel/contents/audio_content.py
index 8ee4197aaa8f..77d4a9970a63 100644
--- a/python/semantic_kernel/contents/audio_content.py
+++ b/python/semantic_kernel/contents/audio_content.py
@@ -3,6 +3,7 @@
 import mimetypes
 from typing import Any, ClassVar, Literal, TypeVar
 
+from numpy import ndarray
 from pydantic import Field
 
 from semantic_kernel.contents.binary_content import BinaryContent
@@ -51,3 +52,8 @@ def from_audio_file(cls: type[_T], path: str) -> "AudioContent":
     def to_dict(self) -> dict[str, Any]:
         """Convert the instance to a dictionary."""
         return {"type": "audio_url", "audio_url": {"uri": str(self)}}
+
+    @classmethod
+    def from_nd_array(cls: type[_T], data: ndarray, mime_type: str) -> "AudioContent":
+        """Create an instance from an nd array."""
+        return cls(data=data, mime_type=mime_type)
diff --git a/python/semantic_kernel/contents/binary_content.py b/python/semantic_kernel/contents/binary_content.py
index a36535b0c120..7ac5840dd8fb 100644
--- a/python/semantic_kernel/contents/binary_content.py
+++ b/python/semantic_kernel/contents/binary_content.py
@@ -5,6 +5,7 @@
 from typing import Annotated, Any, ClassVar, Literal, TypeVar
 from xml.etree.ElementTree import Element  # nosec
 
+from numpy import ndarray
 from pydantic import Field, FilePath, UrlConstraints, computed_field
 from pydantic_core import Url
 
@@ -48,7 +49,7 @@ def __init__(
         self,
         uri: Url | str | None = None,
         data_uri: DataUrl | str | None = None,
-        data: str | bytes | None = None,
+        data: str | bytes | ndarray | None = None,
         data_format: str | None = None,
         mime_type: str | None = None,
         **kwargs: Any,
@@ -76,14 +77,17 @@ def __init__(
             else:
                 kwargs["metadata"] = _data_uri.parameters
         elif data:
-            if isinstance(data, str):
-                _data_uri = DataUri(
-                    data_str=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
-                )
-            else:
-                _data_uri = DataUri(
-                    data_bytes=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
-                )
+            match data:
+                case str():
+                    _data_uri = DataUri(
+                        data_str=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
+                    )
+                case bytes():
+                    _data_uri = DataUri(
+                        data_bytes=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
+                    )
+                case ndarray():
+                    _data_uri = DataUri(data_array=data, mime_type=mime_type or self.default_mime_type)
 
         if uri is not None:
             if isinstance(uri, str) and os.path.exists(uri):
@@ -109,8 +113,10 @@ def data_uri(self, value: str):
         self.metadata.update(self._data_uri.parameters)
 
     @property
-    def data(self) -> bytes:
+    def data(self) -> bytes | ndarray:
         """Get the data."""
+        if self._data_uri and self._data_uri.data_array:
+            return self._data_uri.data_array
         if self._data_uri and self._data_uri.data_bytes:
             return self._data_uri.data_bytes
         if self._data_uri and self._data_uri.data_str:
@@ -118,15 +124,18 @@ def data(self) -> bytes:
         return b""
 
     @data.setter
-    def data(self, value: str | bytes):
+    def data(self, value: str | bytes | ndarray):
         """Set the data."""
         if self._data_uri:
             self._data_uri.update_data(value)
         else:
-            if isinstance(value, str):
-                self._data_uri = DataUri(data_str=value, mime_type=self.mime_type)
-            else:
-                self._data_uri = DataUri(data_bytes=value, mime_type=self.mime_type)
+            match value:
+                case str():
+                    self._data_uri = DataUri(data_str=value, mime_type=self.mime_type)
+                case bytes():
+                    self._data_uri = DataUri(data_bytes=value, mime_type=self.mime_type)
+                case ndarray():
+                    self._data_uri = DataUri(data_array=value, mime_type=self.mime_type)
 
     @property
     def mime_type(self) -> str:
diff --git a/python/semantic_kernel/contents/utils/data_uri.py b/python/semantic_kernel/contents/utils/data_uri.py
index a4407ff2237b..dd086f1c02ac 100644
--- a/python/semantic_kernel/contents/utils/data_uri.py
+++ b/python/semantic_kernel/contents/utils/data_uri.py
@@ -12,6 +12,7 @@
 else:
     from typing import Self  # type: ignore # pragma: no cover
 
+from numpy import ndarray
 from pydantic import Field, ValidationError, field_validator, model_validator
 from pydantic_core import Url
 
@@ -28,16 +29,20 @@ class DataUri(KernelBaseModel, validate_assignment=True):
 
     data_bytes: bytes | None = None
     data_str: str | None = None
+    data_array: ndarray | None = None
     mime_type: str | None = None
     parameters: dict[str, str] = Field(default_factory=dict)
     data_format: str | None = None
 
-    def update_data(self, value: str | bytes):
+    def update_data(self, value: str | bytes | ndarray):
         """Update the data, using either a string or bytes."""
-        if isinstance(value, str):
-            self.data_str = value
-        else:
-            self.data_bytes = value
+        match value:
+            case str():
+                self.data_str = value
+            case bytes():
+                self.data_bytes = value
+            case ndarray():
+                self.data_array = value
 
     @model_validator(mode="before")
     @classmethod
@@ -49,7 +54,13 @@ def _validate_data(cls, values: dict[str, Any]) -> dict[str, Any]:
 
     @model_validator(mode="after")
     def _parse_data(self) -> Self:
-        """Parse the data bytes to str."""
+        """Parse the data bytes to str.
+
+        Will try to decode the data bytes to a string if it is not already set.
+        However if the data array is used, it will not be converted to a string.
+        """
+        if self.data_array:
+            return self
         if not self.data_str and self.data_bytes:
             if self.data_format and self.data_format.lower() == "base64":
                 self.data_str = base64.b64encode(self.data_bytes).decode("utf-8")
@@ -113,10 +124,12 @@ def from_data_uri(cls: type[_T], data_uri: str | Url, default_mime_type: str = "
 
     def to_string(self, metadata: dict[str, str] = {}) -> str:
         """Return the data uri as a string."""
+        if self.data_array:
+            data_str = self.data_array.tobytes().decode("utf-8")
         parameters = ";".join([f"{key}={val}" for key, val in metadata.items()])
         parameters = f";{parameters}" if parameters else ""
         data_format = f"{self.data_format}" if self.data_format else ""
-        return f"data:{self.mime_type or ''}{parameters};{data_format},{self.data_str}"
+        return f"data:{self.mime_type or ''}{parameters};{data_format},{self.data_str or data_str}"
 
     def __eq__(self, value: object) -> bool:
         """Check if the data uri is equal to another."""
diff --git a/python/uv.lock b/python/uv.lock
index b43b44b6f9ea..e4f6fb2d0e24 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -445,7 +445,7 @@ name = "build"
 version = "1.2.2.post1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "os_name == 'nt' and sys_platform == 'win32'" },
+    { name = "colorama", marker = "(os_name == 'nt' and sys_platform == 'darwin') or (os_name == 'nt' and sys_platform == 'linux') or (os_name == 'nt' and sys_platform == 'win32')" },
     { name = "importlib-metadata", marker = "(python_full_version < '3.10.2' and sys_platform == 'darwin') or (python_full_version < '3.10.2' and sys_platform == 'linux') or (python_full_version < '3.10.2' and sys_platform == 'win32')" },
     { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "pyproject-hooks", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -688,7 +688,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "(platform_system == 'Windows' and sys_platform == 'darwin') or (platform_system == 'Windows' and sys_platform == 'linux') or (platform_system == 'Windows' and sys_platform == 'win32')" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -1837,7 +1837,7 @@ name = "ipykernel"
 version = "6.29.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "appnope", marker = "sys_platform == 'darwin'" },
+    { name = "appnope", marker = "(platform_system == 'Darwin' and sys_platform == 'darwin') or (platform_system == 'Darwin' and sys_platform == 'linux') or (platform_system == 'Darwin' and sys_platform == 'win32')" },
     { name = "comm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "debugpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "ipython", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -2744,7 +2744,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741 },
@@ -2755,7 +2755,7 @@ name = "nvidia-cufft-cu12"
 version = "11.2.1.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/27/94/3266821f65b92b3138631e9c8e7fe1fb513804ac934485a8d05776e1dd43/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9", size = 211459117 },
@@ -2774,9 +2774,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.6.1.9"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
-    { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'linux'" },
-    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/3a/e1/5b9089a4b2a4790dfdea8b3a006052cfecff58139d5a4e34cb1a51df8d6f/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260", size = 127936057 },
@@ -2787,7 +2787,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.3.1.170"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/db/f7/97a9ea26ed4bbbfc2d470994b8b4f338ef663be97b8f677519ac195e113d/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1", size = 207454763 },
@@ -3408,7 +3408,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "sys_platform == 'win32'" },
+    { name = "pywin32", marker = "(platform_system == 'Windows' and sys_platform == 'darwin') or (platform_system == 'Windows' and sys_platform == 'linux') or (platform_system == 'Windows' and sys_platform == 'win32')" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -4748,6 +4748,7 @@ dependencies = [
     { name = "pybars4", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "pydantic-settings", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "taskgroup", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" },
 ]
 
 [package.optional-dependencies]
@@ -4783,7 +4784,7 @@ hugging-face = [
     { name = "transformers", extra = ["torch"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 milvus = [
-    { name = "milvus", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
+    { name = "milvus", marker = "(platform_system != 'Windows' and sys_platform == 'darwin') or (platform_system != 'Windows' and sys_platform == 'linux') or (platform_system != 'Windows' and sys_platform == 'win32')" },
     { name = "pymilvus", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 mistralai = [
@@ -4868,7 +4869,7 @@ requires-dist = [
     { name = "google-generativeai", marker = "extra == 'google'", specifier = "~=0.7" },
     { name = "ipykernel", marker = "extra == 'notebooks'", specifier = "~=6.29" },
     { name = "jinja2", specifier = "~=3.1" },
-    { name = "milvus", marker = "sys_platform != 'win32' and extra == 'milvus'", specifier = ">=2.3,<2.3.8" },
+    { name = "milvus", marker = "platform_system != 'Windows' and extra == 'milvus'", specifier = ">=2.3,<2.3.8" },
     { name = "mistralai", marker = "extra == 'mistralai'", specifier = ">=1.2,<2.0" },
     { name = "motor", marker = "extra == 'mongo'", specifier = ">=3.3.2,<3.7.0" },
     { name = "nest-asyncio", specifier = "~=1.6" },
@@ -4895,6 +4896,7 @@ requires-dist = [
     { name = "redis", extras = ["hiredis"], marker = "extra == 'redis'", specifier = "~=5.0" },
     { name = "redisvl", marker = "extra == 'redis'", specifier = ">=0.3.6" },
     { name = "sentence-transformers", marker = "extra == 'hugging-face'", specifier = ">=2.2,<4.0" },
+    { name = "taskgroup", marker = "python_full_version < '3.11'", specifier = ">=0.2.2" },
     { name = "torch", marker = "extra == 'hugging-face'", specifier = "==2.5.1" },
     { name = "transformers", extras = ["torch"], marker = "extra == 'hugging-face'", specifier = "~=4.28" },
     { name = "types-redis", marker = "extra == 'redis'", specifier = "~=4.6.0.20240425" },
@@ -5154,6 +5156,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f", size = 35252 },
 ]
 
+[[package]]
+name = "taskgroup"
+version = "0.2.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "exceptiongroup", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" },
+    { name = "typing-extensions", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/f0/8d/e218e0160cc1b692e6e0e5ba34e8865dbb171efeb5fc9a704544b3020605/taskgroup-0.2.2.tar.gz", hash = "sha256:078483ac3e78f2e3f973e2edbf6941374fbea81b9c5d0a96f51d297717f4752d", size = 11504 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/b1/74babcc824a57904e919f3af16d86c08b524c0691504baf038ef2d7f655c/taskgroup-0.2.2-py2.py3-none-any.whl", hash = "sha256:e2c53121609f4ae97303e9ea1524304b4de6faf9eb2c9280c7f87976479a52fb", size = 14237 },
+]
+
 [[package]]
 name = "tenacity"
 version = "9.0.0"
@@ -5257,21 +5272,21 @@ dependencies = [
     { name = "fsspec", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "jinja2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "networkx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
-    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
-    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cublas-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cuda-cupti-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cuda-nvrtc-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cuda-runtime-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cudnn-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cufft-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-curand-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cusolver-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cusparse-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-nccl-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-nvtx-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
     { name = "setuptools", marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" },
     { name = "sympy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
-    { name = "triton", marker = "python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "triton", marker = "(python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
     { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 wheels = [
@@ -5313,7 +5328,7 @@ name = "tqdm"
 version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "sys_platform == 'win32'" },
+    { name = "colorama", marker = "(platform_system == 'Windows' and sys_platform == 'darwin') or (platform_system == 'Windows' and sys_platform == 'linux') or (platform_system == 'Windows' and sys_platform == 'win32')" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
 wheels = [
@@ -5361,7 +5376,7 @@ name = "triton"
 version = "3.1.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "python_full_version < '3.13' and sys_platform == 'linux'" },
+    { name = "filelock", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/98/29/69aa56dc0b2eb2602b553881e34243475ea2afd9699be042316842788ff5/triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8", size = 209460013 },

From 78fb3a235e0b7e6614d1f9fd5a19eff19f9361ab Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Thu, 16 Jan 2025 10:07:51 +0100
Subject: [PATCH 08/15] updated ADR

---
 docs/decisions/00XX-realtime-api-clients.md | 122 +++++++++++++-------
 1 file changed, 81 insertions(+), 41 deletions(-)

diff --git a/docs/decisions/00XX-realtime-api-clients.md b/docs/decisions/00XX-realtime-api-clients.md
index 1b0bbd2d6c52..96570b389de1 100644
--- a/docs/decisions/00XX-realtime-api-clients.md
+++ b/docs/decisions/00XX-realtime-api-clients.md
@@ -79,82 +79,122 @@ Server side events:
 
 
 ## Decision Drivers
-
 - Simple programming model that is likely able to handle future realtime api's and evolution of the existing ones.
-- Support for the most common scenario's and content, extensible for the rest.
-- Natively integrated with Semantic Kernel especially for content types and function calling.
-- Support multiple types of connections, like websocket and WebRTC
-  
+- Whenever possible we transform incoming content into Semantic Kernel content, but surface everything, so it's extensible
+- Protocol agnostic, should be able to use different types of protocols under the covers, like websocket and WebRTC, without changing the client code (unless the protocol requires it).
+
 ## Decision driver questions
 - For WebRTC, a audio device can be passed, should this be a requirement for the client also for websockets?
 
-## Considered Options
+There are multiple areas where we need to make decisions, these are:
+- Content and Events
+- Programming model
+- Audio speaker/microphone handling
 
+# Content and Events
+
+## Considered Options - Content and Events
 Both the sending and receiving side of these integrations need to decide how to deal with the api's.
 
-- Treat content events separate from control events
-- Treat everything as content items
-- Treat everything as events
+1. Treat content events separate from control events
+1. Treat everything as content items
+1. Treat everything as events
 
-### Treat content events separate from control events
+### 1. Treat content events separate from control events
 This would mean there are two mechanisms in the clients, one deals with content, and one with control events.
 
 - Pro:
     - strongly typed responses for known content
     - easy to use as the main interactions are clear with familiar SK content types, the rest goes through a separate mechanism
-    - this might fit better with something like WebRTC that has distinct channels for audio and video vs a data stream for all other events
 - Con:
     - new content support requires updates in the codebase and can be considered breaking (potentially sending additional types back)
     - additional complexity in dealing with two streams of data
 
-### Treat everything as content items
+### 2. Treat everything as content items
+This would mean that all events are turned into Semantic Kernel content items, and would also mean that we need to define additional content types for the control events.
 
+- Pro:
+  - everything is a content item, so it's easy to deal with
+- Con:
+  - overkill for simple control events
 
-## Decision Outcome
+### 3. Treat everything as events
+This would mean that all events are retained and returned to the developer as is, without any transformation.
 
-Chosen option: "{title of option 1}", because
-{justification. e.g., only option, which meets k.o. criterion decision driver | which resolves force {force} | … | comes out best (see below)}.
+- Pro:
+  - no transformation needed
+  - easy to maintain
+- Con:
+  - nothing easing the burden on the developer, they need to deal with the raw events
+  - no way to easily switch between one provider and another
 
-<!-- This is an optional element. Feel free to remove. -->
+## Decision Outcome - Content and Events
 
-### Consequences
+Chosen option: ...
 
-- Good, because {positive consequence, e.g., improvement of one or more desired qualities, …}
-- Bad, because {negative consequence, e.g., compromising one or more desired qualities, …}
-- … <!-- numbers of consequences can vary -->
+# Programming model
 
-<!-- This is an optional element. Feel free to remove. -->
+## Considered Options - Programming model
+The programming model for the clients needs to be simple and easy to use, while also being able to handle the complexity of the realtime api's.
 
-## Validation
+_In this section we will refer to events for both content and events, regardless of the decision made in the previous section._
 
-{describe how the implementation of/compliance with the ADR is validated. E.g., by a review or an ArchUnit test}
+1. Async generator for receiving events, that yields contents, combined with a event handler/callback mechanism for receiving events and a function for sending events
+   - 1a: Single event handlers, where each event is passed to the handler
+   - 1b: Multiple event handlers, where each event type has its own handler
+2. Event buffers/queues that are exposed to the developer, start sending and start receiving methods, that just initiate the sending and receiving of events and thereby the filling of the buffers
 
-<!-- This is an optional element. Feel free to remove. -->
+### 1. Async generator for receiving events, that yields contents, combined with a event handler/callback mechanism for receiving events and a function for sending events
+This would mean that the client would have a mechanism to register event handlers, and the integration would call these handlers when an event is received. For sending events, a function would be created that sends the event to the service.
 
-## Pros and Cons of the Options
+- Pro:
+  - without any additional setup you get content back, just as with "regular" chat models
+  - event handlers are mostly for more complex interactions, so ok to be slightly more complex
+- Con:
+  - developer judgement needs to be made (or exposed with parameters) on what is returned through the async generator and what is passed to the event handlers
 
-### {title of option 1}
+### 2. Event buffers/queues that are exposed to the developer, start sending and start receiving methods, that just initiate the sending and receiving of events and thereby the filling of the buffers
+This would mean that the there are two queues, one for sending and one for receiving, and the developer can listen to the receiving queue and send to the sending queue. Internal things like auto-function calling can listen in on the same queue and act on it, and put a message back on the sending queue with ease.
 
-<!-- This is an optional element. Feel free to remove. -->
+- Pro:
+  - simple to use, just start sending and start receiving
+  - easy to understand, as queues are a well known concept
+  - developers can just skip events they are not interested in
+- Con:
+  - potentially causes audio delays because of the queueing mechanism
+
+## Decision Outcome - Programming model
+
+Chosen option: ...
+
+# Audio speaker/microphone handling
+
+## Considered Options - Audio speaker/microphone handling
 
-{example | description | pointer to more information | …}
+1. Create abstraction in SK for audio handlers, that can be passed into the realtime client to record and play audio
+2. Send and receive AudioContent (wrapped in StreamingChatMessageContent) to the client, and let the client handle the audio recording and playing
 
-- Good, because {argument a}
-- Good, because {argument b}
-<!-- use "neutral" if the given argument weights neither for good nor bad -->
-- Neutral, because {argument c}
-- Bad, because {argument d}
-- … <!-- numbers of pros and cons can vary -->
+### 1. Create abstraction in SK for audio handlers, that can be passed into the realtime client to record and play audio
+This would mean that the client would have a mechanism to register audio handlers, and the integration would call these handlers when audio is received or needs to be sent. A additional abstraction for this would have to be created in Semantic Kernel (or potentially taken from a standard).
 
-### {title of other option}
+- Pro:
+  - simple/local audio handlers can be shipped with SK making it easy to use
+  - extensible by third parties to integrate into other systems (like Azure Communications Service)
+  - could mitigate buffer issues by prioritizing audio content being sent to the handlers
+- Con:
+  - extra code in SK that needs to be maintained, potentially relying on third party code
+
+### 2. Send and receive AudioContent (wrapped in StreamingChatMessageContent) to the client, and let the client handle the audio recording and playing
+This would mean that the client would receive AudioContent items, and would have to deal with them itself, including recording and playing the audio.
+
+- Pro:
+  - no extra code in SK that needs to be maintained
+- Con:
+  - extra burden on the developer to deal with the audio 
 
-{example | description | pointer to more information | …}
+## Decision Outcome - Audio speaker/microphone handling
 
-- Good, because {argument a}
-- Good, because {argument b}
-- Neutral, because {argument c}
-- Bad, because {argument d}
-- …
+Chosen option: ...
 
 <!-- This is an optional element. Feel free to remove. -->
 

From cea2a5c23f89c92fca959c6f3e9085294cbc1c88 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 14:41:29 +0100
Subject: [PATCH 09/15] webrtc working!

---
 docs/decisions/00XX-realtime-api-clients.md   |   4 +-
 .../audio/04-chat_with_realtime_api.py        | 167 +++----
 .../concepts/audio/audio_player_async.py      |  75 ---
 .../concepts/audio/audio_recorder_stream.py   |  77 ---
 .../open_ai/services/open_ai_config_base.py   |   5 +-
 .../ai/open_ai/services/open_ai_realtime.py   |  10 +-
 .../open_ai/services/open_ai_realtime_base.py | 455 +++++++++---------
 .../ai/open_ai/settings/open_ai_settings.py   |   4 +
 .../connectors/ai/realtime_client_base.py     |   5 +-
 .../connectors/ai/realtime_helpers.py         | 190 ++++++++
 .../semantic_kernel/contents/audio_content.py |   4 +-
 .../contents/binary_content.py                |  20 +-
 .../contents/utils/data_uri.py                |   6 +-
 python/uv.lock                                |  54 +--
 14 files changed, 534 insertions(+), 542 deletions(-)
 delete mode 100644 python/samples/concepts/audio/audio_player_async.py
 delete mode 100644 python/samples/concepts/audio/audio_recorder_stream.py
 create mode 100644 python/semantic_kernel/connectors/ai/realtime_helpers.py

diff --git a/docs/decisions/00XX-realtime-api-clients.md b/docs/decisions/00XX-realtime-api-clients.md
index 96570b389de1..6fcf0972aea2 100644
--- a/docs/decisions/00XX-realtime-api-clients.md
+++ b/docs/decisions/00XX-realtime-api-clients.md
@@ -12,7 +12,7 @@ informed:
 
 ## Context and Problem Statement
 
-Multiple model providers are starting to enable realtime voice-to-voice communication with their models, this includes OpenAI with their [Realtime API](https://openai.com/index/introducing-the-realtime-api/) and [Google Gemini](https://ai.google.dev/api/multimodal-live). These API's promise some very interesting new ways of using LLM's in different settings, which we want to enable with Semantic Kernel. The key addition that Semantic Kernel brings into this system is the ability to (re)use Semantic Kernel function as tools with these API's. 
+Multiple model providers are starting to enable realtime voice-to-voice communication with their models, this includes OpenAI with their [Realtime API](https://openai.com/index/introducing-the-realtime-api/) and [Google Gemini](https://ai.google.dev/api/multimodal-live). These API's promise some very interesting new ways of using LLM's in different settings, which we want to enable with Semantic Kernel. The key addition that Semantic Kernel brings into this system is the ability to (re)use Semantic Kernel function as tools with these API's. There are also options for Google to use video and images as input, so really it is multimodal, but for now we are focusing on the voice-to-voice part, while keeping in mind that video is coming.
 
 The way these API's work at this time is through either Websockets or WebRTC. 
 
@@ -154,7 +154,7 @@ This would mean that the client would have a mechanism to register event handler
   - developer judgement needs to be made (or exposed with parameters) on what is returned through the async generator and what is passed to the event handlers
 
 ### 2. Event buffers/queues that are exposed to the developer, start sending and start receiving methods, that just initiate the sending and receiving of events and thereby the filling of the buffers
-This would mean that the there are two queues, one for sending and one for receiving, and the developer can listen to the receiving queue and send to the sending queue. Internal things like auto-function calling can listen in on the same queue and act on it, and put a message back on the sending queue with ease.
+This would mean that the there are two queues, one for sending and one for receiving, and the developer can listen to the receiving queue and send to the sending queue. Internal things like parsing events to content types and auto-function calling are processed first, and the result is put in the queue, the content type should use inner_content to capture the full event and these might add a message to the send queue as well.
 
 - Pro:
   - simple to use, just start sending and start receiving
diff --git a/python/samples/concepts/audio/04-chat_with_realtime_api.py b/python/samples/concepts/audio/04-chat_with_realtime_api.py
index 40f16a2c0a24..0f895f7dc9dc 100644
--- a/python/samples/concepts/audio/04-chat_with_realtime_api.py
+++ b/python/samples/concepts/audio/04-chat_with_realtime_api.py
@@ -1,17 +1,11 @@
 # Copyright (c) Microsoft. All rights reserved.
 import asyncio
-import contextlib
 import logging
 import signal
-from typing import Any
+from random import randint
 
-import numpy as np
-from aiortc.mediastreams import MediaStreamError, MediaStreamTrack
-from av import AudioFrame
-from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
+import sounddevice as sd
 
-from samples.concepts.audio.audio_player_async import AudioPlayerAsync
-from samples.concepts.audio.audio_recorder_stream import AudioRecorderStream
 from semantic_kernel import Kernel
 from semantic_kernel.connectors.ai import FunctionChoiceBehavior
 from semantic_kernel.connectors.ai.open_ai import (
@@ -19,12 +13,18 @@
     OpenAIRealtimeWebRTC,
     TurnDetection,
 )
-from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_base import ListenEvents
 from semantic_kernel.connectors.ai.realtime_client_base import RealtimeClientBase
-from semantic_kernel.contents import AudioContent, ChatHistory, StreamingTextContent
+from semantic_kernel.connectors.ai.realtime_helpers import SKSimplePlayer
+from semantic_kernel.contents import ChatHistory
+from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
 from semantic_kernel.functions import kernel_function
 
 logging.basicConfig(level=logging.WARNING)
+aiortc_log = logging.getLogger("aiortc")
+aiortc_log.setLevel(logging.WARNING)
+aioice_log = logging.getLogger("aioice")
+aioice_log.setLevel(logging.WARNING)
 logger = logging.getLogger(__name__)
 
 # This simple sample demonstrates how to use the OpenAI Realtime API to create
@@ -34,7 +34,8 @@
 # - pyaudio
 # - sounddevice
 # - pydub
-# e.g. pip install semantic-kernel[openai_realtime] pyaudio sounddevice pydub
+# - aiortc
+# e.g. pip install pyaudio sounddevice pydub
 
 # The characterics of your speaker and microphone are a big factor in a smooth conversation
 # so you may need to try out different devices for each.
@@ -45,124 +46,66 @@
 
 
 def check_audio_devices():
-    import sounddevice as sd  # type: ignore
-
-    print(sd.query_devices())
+    logger.info(sd.query_devices())
 
 
 check_audio_devices()
 
 
-class Speaker:
-    """This is a simple class that opens the session with the realtime api and plays the audio response.
+class ReceivingStreamHandler:
+    """This is a simple class that listens to the received buffer of the RealtimeClientBase.
+
+    It can be used to play audio and print the transcript of the conversation.
 
-    At the same time it prints the transcript of the conversation to the console.
+    It can also be used to act on other events from the service.
     """
 
-    def __init__(self, audio_player: AudioPlayerAsync, realtime_client: RealtimeClientBase, kernel: Kernel):
+    def __init__(self, realtime_client: RealtimeClientBase, audio_player: SKSimplePlayer | None = None):
         self.audio_player = audio_player
         self.realtime_client = realtime_client
-        self.kernel = kernel
 
-    async def play(
+    async def listen(
         self,
-        chat_history: ChatHistory,
-        settings: OpenAIRealtimeExecutionSettings,
+        play_audio: bool = True,
         print_transcript: bool = True,
     ) -> None:
-        # reset the frame count for the audio player
-        self.audio_player.reset_frame_count()
         # print the start message of the transcript
         if print_transcript:
             print("Mosscap (transcript): ", end="")
         try:
             # start listening for events
             while True:
-                _, content = await self.realtime_client.output_buffer.get()
-                if not content:
-                    continue
-                # the contents returned should be StreamingChatMessageContent
-                # so we will loop through the items within it.
-                for item in content.items:
-                    match item:
-                        case StreamingTextContent():
-                            if print_transcript:
-                                print(item.text, end="")
-                            await asyncio.sleep(0.01)
-                            continue
-                        case AudioContent():
-                            self.audio_player.add_data(item.data)
-                            await asyncio.sleep(0.01)
-                            continue
+                event_type, event = await self.realtime_client.receive_buffer.get()
+                match event_type:
+                    case ListenEvents.RESPONSE_AUDIO_DELTA:
+                        if play_audio and self.audio_player and isinstance(event, StreamingChatMessageContent):
+                            await self.audio_player.add_audio(event.items[0])
+                    case ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DELTA:
+                        if print_transcript and isinstance(event, StreamingChatMessageContent):
+                            print(event.content, end="")
+                    case ListenEvents.RESPONSE_CREATED:
+                        if print_transcript:
+                            print("")
+                await asyncio.sleep(0.01)
         except asyncio.CancelledError:
             print("\nThanks for talking to Mosscap!")
 
 
-class Microphone(MediaStreamTrack):
-    """This is a simple class that opens the microphone and sends the audio to the realtime api."""
-
-    kind = "audio"
-
-    def __init__(self, audio_recorder: AudioRecorderStream, realtime_client: RealtimeClientBase):
-        self.audio_recorder = audio_recorder
-        self.realtime_client = realtime_client
-        self.queue = asyncio.Queue()
-        self.loop = asyncio.get_running_loop()
-        self._pts = 0
-
-    async def recv(self) -> Any:
-        # start the audio recording
-        try:
-            return await self.queue.get()
-        except Exception as e:
-            logger.error(f"Error receiving audio frame: {str(e)}")
-            raise MediaStreamError("Failed to receive audio frame")
-
-    async def record_audio(self):
-        def callback(indata, frames, time, status):
-            if status:
-                logger.warning(f"Audio input status: {status}")
-            audio_data = indata.copy()
-
-            if audio_data.dtype != np.int16:
-                audio_data = (audio_data * 32767).astype(np.int16)
-
-            # Create AudioFrame with incrementing pts
-            frame = AudioFrame(
-                samples=len(audio_data),
-                layout="mono",
-                format="s16",  # 16-bit signed integer
-            )
-            frame.rate = 48000
-            frame.pts = self._pts
-            self._pts += len(audio_data)  # Increment pts by frame size
-
-            frame.planes[0].update(audio_data.tobytes())
-
-            asyncio.run_coroutine_threadsafe(self.queue.put(frame), self.loop)
-
-        await self.realtime_client.input_buffer.put("response.create")
-        await self.audio_recorder.stream_audio_content_with_callback(callback=callback)
-
-
 # this function is used to stop the processes when ctrl + c is pressed
 def signal_handler():
     for task in asyncio.all_tasks():
         task.cancel()
 
 
+weather_conditions = ["sunny", "hot", "cloudy", "raining", "freezing", "snowing"]
+
+
 @kernel_function
 def get_weather(location: str) -> str:
     """Get the weather for a location."""
-    logger.debug(f"Getting weather for {location}")
-    return f"The weather in {location} is sunny."
-
-
-def response_created_callback(
-    event: RealtimeServerEvent, settings: PromptExecutionSettings | None = None, **kwargs: Any
-) -> None:
-    """Add a empty print to start a new line for a new response."""
-    print("")
+    weather = weather_conditions[randint(0, len(weather_conditions))]  # nosec
+    logger.warning(f"Getting weather for {location}: {weather}")
+    return f"The weather in {location} is {weather}."
 
 
 async def main() -> None:
@@ -174,20 +117,20 @@ async def main() -> None:
     kernel = Kernel()
     kernel.add_function(plugin_name="weather", function_name="get_weather", function=get_weather)
 
-    # create the realtime client and register the response created callback
-    realtime_client = OpenAIRealtimeWebRTC(ai_model_id="gpt-4o-realtime-preview-2024-12-17")
-    realtime_client.register_event_handler("response.created", response_created_callback)
+    # create the realtime client and optionally add the audio output function, this is optional
+    audio_player = SKSimplePlayer()
+    realtime_client = OpenAIRealtimeWebRTC(audio_output=audio_player.realtime_client_callback)
 
-    # create the speaker and microphone
-    speaker = Speaker(AudioPlayerAsync(device_id=None), realtime_client, kernel)
-    microphone = Microphone(AudioRecorderStream(device_id=None), realtime_client)
+    # create stream receiver, this can play the audio, if the audio_player is passed
+    # and allows you to print the transcript of the conversation
+    # and review or act on other events from the service
+    stream_handler = ReceivingStreamHandler(realtime_client)  # SimplePlayer(device_id=None)
 
     # Create the settings for the session
     # the key thing to decide on is to enable the server_vad turn detection
     # if turn is turned off (by setting turn_detection=None), you will have to send
     # the "input_audio_buffer.commit" and "response.create" event to the realtime api
     # to signal the end of the user's turn and start the response.
-
     # The realtime api, does not use a system message, but takes instructions as a parameter for a session
     instructions = """
     You are a chat bot. Your name is Mosscap and
@@ -197,7 +140,7 @@ async def main() -> None:
     effectively, but you tend to answer with long
     flowery prose.
     """
-    # but we can add a chat history to conversation after starting it
+    # and we can add a chat history to conversation after starting it
     chat_history = ChatHistory()
     chat_history.add_user_message("Hi there, who are you?")
     chat_history.add_assistant_message("I am Mosscap, a chat bot. I'm trying to figure out what people need.")
@@ -208,14 +151,14 @@ async def main() -> None:
         turn_detection=TurnDetection(type="server_vad", create_response=True, silence_duration_ms=800, threshold=0.8),
         function_choice_behavior=FunctionChoiceBehavior.Auto(),
     )
-    async with realtime_client:
-        await realtime_client.update_session(settings=settings, chat_history=chat_history)
-        await realtime_client.start_listening(settings, chat_history)
-        await realtime_client.start_sending(input_audio_track=microphone)
-        # await realtime_client.start_streaming(settings, chat_history, input_audio_track=microphone)
-        # start the the speaker and the microphone
-        with contextlib.suppress(asyncio.CancelledError):
-            await speaker.play(chat_history, settings)
+    # the context manager calls the create_session method on the client and start listening to the audio stream
+    async with realtime_client, audio_player:
+        await realtime_client.update_session(
+            settings=settings, chat_history=chat_history, kernel=kernel, create_response=True
+        )
+        async with asyncio.TaskGroup() as tg:
+            tg.create_task(realtime_client.start_streaming())
+            tg.create_task(stream_handler.listen())
 
 
 if __name__ == "__main__":
diff --git a/python/samples/concepts/audio/audio_player_async.py b/python/samples/concepts/audio/audio_player_async.py
deleted file mode 100644
index 36c1492094a6..000000000000
--- a/python/samples/concepts/audio/audio_player_async.py
+++ /dev/null
@@ -1,75 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import threading
-
-import numpy as np
-import pyaudio
-import sounddevice as sd
-
-CHUNK_LENGTH_S = 0.05  # 100ms
-SAMPLE_RATE = 24000
-FORMAT = pyaudio.paInt16
-CHANNELS = 1
-
-
-class AudioPlayerAsync:
-    def __init__(self, device_id: int | None = None):
-        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),
-            device=device_id,
-        )
-        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 | np.ndarray):
-        with self.lock:
-            # bytes is pcm16 single channel audio data, convert to numpy array
-            np_data = np.frombuffer(data, dtype=np.int16) if isinstance(data, bytes) else data
-            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()
diff --git a/python/samples/concepts/audio/audio_recorder_stream.py b/python/samples/concepts/audio/audio_recorder_stream.py
deleted file mode 100644
index 20c758af3e39..000000000000
--- a/python/samples/concepts/audio/audio_recorder_stream.py
+++ /dev/null
@@ -1,77 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import asyncio
-import base64
-from collections.abc import AsyncGenerator, Callable
-from typing import Any, ClassVar, cast
-
-import sounddevice as sd
-from pydantic import BaseModel
-
-from semantic_kernel.contents.audio_content import AudioContent
-
-
-class AudioRecorderStream(BaseModel):
-    """A class to record audio from the microphone and save it to a WAV file.
-
-    To start recording, press the spacebar. To stop recording, release the spacebar.
-
-    To use as a context manager, that automatically removes the output file after exiting the context:
-    ```
-    with AudioRecorder(output_filepath="output.wav") as recorder:
-        recorder.start_recording()
-        # Do something with the recorded audio
-        ...
-    ```
-    """
-
-    # Audio recording parameters
-    CHANNELS: ClassVar[int] = 1
-    SAMPLE_RATE: ClassVar[int] = 24000
-    CHUNK_LENGTH_S: ClassVar[float] = 0.05
-    device_id: int | None = None
-
-    async def stream_audio_content_with_callback(self, callback: Callable[..., Any]) -> None:
-        stream = sd.InputStream(
-            channels=self.CHANNELS,
-            samplerate=self.SAMPLE_RATE,
-            dtype="int16",
-            device=self.device_id,
-            callback=callback,
-        )
-        stream.start()
-        try:
-            while True:
-                await asyncio.sleep(0)
-        except KeyboardInterrupt:
-            pass
-        finally:
-            stream.stop()
-            stream.close()
-
-    async def stream_audio_content(self) -> AsyncGenerator[AudioContent, None]:
-        # device_info = sd.query_devices()
-        # print(device_info)
-
-        read_size = int(self.SAMPLE_RATE * 0.02)
-
-        stream = sd.InputStream(
-            channels=self.CHANNELS,
-            samplerate=self.SAMPLE_RATE,
-            dtype="int16",
-            device=self.device_id,
-        )
-        stream.start()
-        try:
-            while True:
-                if stream.read_available < read_size:
-                    await asyncio.sleep(0)
-                    continue
-
-                data, _ = stream.read(read_size)
-                yield AudioContent(data=base64.b64encode(cast(Any, data)), data_format="base64", mime_type="audio/wav")
-        except KeyboardInterrupt:
-            pass
-        finally:
-            stream.stop()
-            stream.close()
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_config_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_config_base.py
index 7ead64865445..79b14ba93ef7 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_config_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_config_base.py
@@ -3,6 +3,7 @@
 import logging
 from collections.abc import Mapping
 from copy import copy
+from typing import Any
 
 from openai import AsyncOpenAI
 from pydantic import ConfigDict, Field, validate_call
@@ -29,6 +30,7 @@ def __init__(
         service_id: str | None = None,
         default_headers: Mapping[str, str] | None = None,
         client: AsyncOpenAI | None = None,
+        **kwargs: Any,
     ) -> None:
         """Initialize a client for OpenAI services.
 
@@ -48,6 +50,7 @@ def __init__(
             default_headers (Mapping[str, str]): Default headers
                 for HTTP requests. (Optional)
             client (AsyncOpenAI): An existing OpenAI client, optional.
+            kwargs: Additional keyword arguments.
 
         """
         # Merge APP_INFO into the headers if it exists
@@ -71,7 +74,7 @@ def __init__(
         }
         if service_id:
             args["service_id"] = service_id
-        super().__init__(**args)
+        super().__init__(**args, **kwargs)
 
     def to_dict(self) -> dict[str, str]:
         """Create a dict of the service settings."""
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
index 39c85816ced3..412d0814feb8 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime.py
@@ -1,6 +1,7 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 from collections.abc import Mapping
+from typing import Any
 
 from openai import AsyncOpenAI
 from pydantic import ValidationError
@@ -82,6 +83,7 @@ def __init__(
         async_client: AsyncOpenAI | None = None,
         env_file_path: str | None = None,
         env_file_encoding: str | None = None,
+        **kwargs: Any,
     ) -> None:
         """Initialize an OpenAITextCompletion service.
 
@@ -99,25 +101,27 @@ def __init__(
             env_file_path (str | None): Use the environment settings file as a fallback to
                 environment variables. (Optional)
             env_file_encoding (str | None): The encoding of the environment settings file. (Optional)
+            kwargs: Additional arguments.
         """
         try:
             openai_settings = OpenAISettings.create(
                 api_key=api_key,
                 org_id=org_id,
-                text_model_id=ai_model_id,
+                realtime_model_id=ai_model_id,
                 env_file_path=env_file_path,
                 env_file_encoding=env_file_encoding,
             )
         except ValidationError as ex:
             raise ServiceInitializationError("Failed to create OpenAI settings.", ex) from ex
-        if not openai_settings.text_model_id:
+        if not openai_settings.realtime_model_id:
             raise ServiceInitializationError("The OpenAI text model ID is required.")
         super().__init__(
-            ai_model_id=openai_settings.text_model_id,
+            ai_model_id=openai_settings.realtime_model_id,
             service_id=service_id,
             api_key=openai_settings.api_key.get_secret_value() if openai_settings.api_key else None,
             org_id=openai_settings.org_id,
             ai_model_type=OpenAIModelTypes.TEXT,
             default_headers=default_headers,
             client=async_client,
+            **kwargs,
         )
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
index f82bce19164f..e387ef4005aa 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -2,13 +2,14 @@
 
 import asyncio
 import base64
+import contextlib
 import json
 import logging
 import sys
-from collections.abc import AsyncGenerator
+from collections.abc import AsyncGenerator, Callable, Coroutine
 from enum import Enum
 from inspect import isawaitable
-from typing import Any, ClassVar, Protocol, runtime_checkable
+from typing import Any, ClassVar, Protocol, cast, runtime_checkable
 
 if sys.version_info >= (3, 12):
     from typing import override  # pragma: no cover
@@ -24,15 +25,25 @@
     RTCPeerConnection,
     RTCSessionDescription,
 )
+from av import AudioFrame
+from openai._models import construct_type_unchecked
 from openai.resources.beta.realtime.realtime import AsyncRealtimeConnection
 from openai.types.beta.realtime.conversation_item_create_event_param import ConversationItemParam
 from openai.types.beta.realtime.realtime_server_event import RealtimeServerEvent
-from pydantic import Field
+from pydantic import Field, PrivateAttr
 
-from semantic_kernel.connectors.ai.function_calling_utils import prepare_settings_for_function_calling
+from semantic_kernel.connectors.ai.function_call_choice_configuration import FunctionCallChoiceConfiguration
+from semantic_kernel.connectors.ai.function_calling_utils import (
+    prepare_settings_for_function_calling,
+)
+from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceType
 from semantic_kernel.connectors.ai.open_ai.services.open_ai_handler import OpenAIHandler
+from semantic_kernel.connectors.ai.open_ai.services.open_ai_realtime_utils import (
+    update_settings_from_function_call_configuration,
+)
 from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
 from semantic_kernel.connectors.ai.realtime_client_base import RealtimeClientBase
+from semantic_kernel.connectors.ai.realtime_helpers import SKAudioTrack
 from semantic_kernel.contents.audio_content import AudioContent
 from semantic_kernel.contents.chat_history import ChatHistory
 from semantic_kernel.contents.function_call_content import FunctionCallContent
@@ -46,6 +57,8 @@
 
 logger: logging.Logger = logging.getLogger(__name__)
 
+# region Protocols
+
 
 @runtime_checkable
 @experimental_class
@@ -77,6 +90,9 @@ def __call__(
         ...
 
 
+# region Events
+
+
 @experimental_class
 class SendEvents(str, Enum):
     """Events that can be sent."""
@@ -126,6 +142,9 @@ class ListenEvents(str, Enum):
     RATE_LIMITS_UPDATED = "rate_limits.updated"
 
 
+# region Websocket
+
+
 @experimental_class
 class OpenAIRealtimeBase(OpenAIHandler, RealtimeClientBase):
     """OpenAI Realtime service."""
@@ -437,8 +456,6 @@ async def response_function_call_arguments_done_callback(
             await self.start_sending(SendEvents.RESPONSE_CREATE)
         return chat_history.messages[-1], False
 
-    # region settings
-
     @override
     def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
         from semantic_kernel.connectors.ai.open_ai.prompt_execution_settings.open_ai_realtime_execution_settings import (  # noqa
@@ -448,6 +465,9 @@ def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]
         return OpenAIRealtimeExecutionSettings
 
 
+# region WebRTC
+
+
 @experimental_class
 class OpenAIRealtimeWebRTCBase(OpenAIHandler, RealtimeClientBase):
     """OpenAI WebRTC Realtime service."""
@@ -455,135 +475,127 @@ class OpenAIRealtimeWebRTCBase(OpenAIHandler, RealtimeClientBase):
     SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = True
     peer_connection: RTCPeerConnection | None = None
     data_channel: RTCDataChannel | None = None
-    connection: AsyncRealtimeConnection | None = None
-    connected: asyncio.Event = Field(default_factory=asyncio.Event)
-    event_log: dict[str, list[RealtimeServerEvent]] = Field(default_factory=dict)
-    event_handlers: dict[str, list[EventCallBackProtocol | EventCallBackProtocolAsync]] = Field(default_factory=dict)
+    audio_output: Callable[[AudioFrame], Coroutine[Any, Any, None] | None] | None = None
+    kernel: Kernel | None = None
 
-    def model_post_init(self, *args, **kwargs) -> None:
-        """Post init method for the model."""
-        # Register the default event handlers
-        self.register_event_handler(
-            ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DELTA, self.response_audio_transcript_delta_callback
-        )
-        self.register_event_handler(
-            ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DONE, self.response_audio_transcript_done_callback
-        )
-        self.register_event_handler(
-            ListenEvents.RESPONSE_FUNCTION_CALL_ARGUMENTS_DONE, self.response_function_call_arguments_delta_callback
-        )
-        self.register_event_handler(ListenEvents.ERROR, self.error_callback)
-        self.register_event_handler(ListenEvents.SESSION_CREATED, self.session_callback)
-        self.register_event_handler(ListenEvents.SESSION_UPDATED, self.session_callback)
-
-    def register_event_handler(
-        self, event_type: str | ListenEvents, handler: EventCallBackProtocol | EventCallBackProtocolAsync
-    ) -> None:
-        """Register a event handler."""
-        if not isinstance(event_type, ListenEvents):
-            event_type = ListenEvents(event_type)
-        self.event_handlers.setdefault(event_type, []).append(handler)
+    _current_settings: PromptExecutionSettings | None = PrivateAttr(None)
+    _call_id_to_function_map: dict[str, str] = PrivateAttr(default_factory=dict)
 
     @override
     async def start_listening(
         self,
-        settings: "PromptExecutionSettings",
+        settings: "PromptExecutionSettings | None" = None,
         chat_history: "ChatHistory | None" = None,
         **kwargs: Any,
-    ) -> AsyncGenerator[StreamingChatMessageContent, Any]:
-        ice_servers = [RTCIceServer(urls=["stun:stun.l.google.com:19302"])]
-        self.peer_connection = RTCPeerConnection(configuration=RTCConfiguration(iceServers=ice_servers))
+    ) -> None:
+        pass
 
-        @self.peer_connection.on("track")
-        async def on_track(track: MediaStreamTrack) -> None:
-            if track.kind == "audio":
-                while True:
-                    frame = await track.recv()
-                    await self.output_buffer.put(
-                        (
-                            ListenEvents.RESPONSE_AUDIO_DELTA,
-                            StreamingChatMessageContent(
-                                role=AuthorRole.ASSISTANT,
-                                items=[AudioContent(data=frame.to_ndarray(), data_format="base64")],
-                                choice_index=0,
-                                inner_content=frame,
-                            ),
+    async def _on_track(self, track: MediaStreamTrack) -> None:
+        logger.info(f"Received {track.kind} track from remote")
+        if track.kind != "audio":
+            return
+        while True:
+            try:
+                # This is a MediaStreamTrack, so the type is AudioFrame
+                # this might need to be updated if video becomes part of this
+                frame: AudioFrame = await track.recv()  # type: ignore
+            except Exception as e:
+                logger.error(f"Error getting audio frame: {e!s}")
+                break
+
+            try:
+                if self.audio_output:
+                    out = self.audio_output(frame)
+                    if isawaitable(out):
+                        await out
+
+            except Exception as e:
+                logger.error(f"Error playing remote audio frame: {e!s}")
+            try:
+                await self.receive_buffer.put(
+                    (
+                        ListenEvents.RESPONSE_AUDIO_DELTA,
+                        StreamingChatMessageContent(
+                            role=AuthorRole.ASSISTANT,
+                            items=[AudioContent(data=frame.to_ndarray(), data_format="np.int16", inner_content=frame)],  # type: ignore
+                            choice_index=0,
                         ),
-                    )
-
-        data_channel = self.peer_connection.createDataChannel("oai-events")
-
-        @data_channel.on("message")
-        async def on_data(data: bytes) -> None:
-            event = RealtimeServerEvent.model_validate_strings(data)
-            event_type = ListenEvents(event.type)
-            self.event_log.setdefault(event_type, []).append(event)
-            for handler in self.event_handlers.get(event_type, []):
-                task = handler(event=event, settings=settings)
-                if not task:
-                    continue
-                if isawaitable(task):
-                    async_result = await task
-                    if not async_result:
-                        continue
-                    result, should_return = async_result
-                else:
-                    result, should_return = task
-                if should_return:
-                    yield result
-                else:
-                    chat_history.add_message(result)
+                    ),
+                )
+            except Exception as e:
+                logger.error(f"Error processing remote audio frame: {e!s}")
+            await asyncio.sleep(0.01)
 
-        offer = await self.peer_connection.createOffer()
-        await self.peer_connection.setLocalDescription(offer)
+    async def _on_data(self, data: str) -> None:
+        """This method is called whenever a data channel message is received.
 
+        The data is parsed into a RealtimeServerEvent (by OpenAI) and then processed.
+        """
         try:
-            ephemeral_token = await self.get_ephemeral_token()
-            headers = {"Authorization": f"Bearer {ephemeral_token}", "Content-Type": "application/sdp"}
-
-            async with (
-                ClientSession() as session,
-                session.post(
-                    f"{self.client.beta.realtime._client.base_url}/realtime/sessions?model={self.ai_model_id}",
-                    headers=headers,
-                    data=offer.sdp,
-                ) as response,
-            ):
-                if response.status not in [200, 201]:
-                    error_text = await response.text()
-                    raise Exception(f"OpenAI WebRTC error: {error_text}")
-
-                sdp_answer = await response.text()
-                answer = RTCSessionDescription(sdp=sdp_answer, type="answer")
-                await self.peer_connection.setRemoteDescription(answer)
-
+            event = cast(
+                RealtimeServerEvent,
+                construct_type_unchecked(value=json.loads(data), type_=cast(Any, RealtimeServerEvent)),
+            )
         except Exception as e:
-            logger.error(f"Failed to connect to OpenAI: {e!s}")
-            raise
+            logger.error(f"Failed to parse event {data} with error: {e!s}")
+            return
+        match event.type:
+            case ListenEvents.RESPONSE_AUDIO_TRANSCRIPT_DELTA:
+                await self.receive_buffer.put((
+                    event.type,
+                    StreamingChatMessageContent(
+                        role=AuthorRole.ASSISTANT,
+                        content=event.delta,
+                        choice_index=event.content_index,
+                        inner_content=event,
+                    ),
+                ))
+            case ListenEvents.RESPONSE_OUTPUT_ITEM_ADDED:
+                if event.item.type == "function_call":
+                    self._call_id_to_function_map[event.item.call_id] = event.item.name
+            case ListenEvents.RESPONSE_FUNCTION_CALL_ARGUMENTS_DELTA:
+                await self.receive_buffer.put((
+                    event.type,
+                    StreamingChatMessageContent(
+                        role=AuthorRole.ASSISTANT,
+                        items=[
+                            FunctionCallContent(
+                                id=event.item_id,
+                                name=event.call_id,
+                                arguments=event.delta,
+                                index=event.output_index,
+                                metadata={"call_id": event.call_id},
+                            )
+                        ],
+                        choice_index=0,
+                        inner_content=event,
+                    ),
+                ))
+            case ListenEvents.RESPONSE_FUNCTION_CALL_ARGUMENTS_DONE:
+                await self._handle_function_call_arguments_done(event)
+            case ListenEvents.ERROR:
+                logger.error("Error received: %s", event.error)
+            case ListenEvents.SESSION_CREATED, ListenEvents.SESSION_UPDATED:
+                logger.info("Session created or updated, session: %s", event.session)
+            case _:
+                logger.debug(f"Received event: {event}")
+        # we put all event in the output buffer, but after the interpreted one.
+        await self.receive_buffer.put((event.type, event))
 
     @override
-    async def start_sending(self, input_audio_track: MediaStreamTrack | None = None, **kwargs: Any) -> None:
-        if input_audio_track:
-            if not self.peer_connection:
-                raise ValueError("Peer connection is not established.")
-            self.peer_connection.addTransceiver(input_audio_track)
-
-        if not self.data_channel:
-            raise ValueError("Data channel is not established.")
+    async def start_sending(self, **kwargs: Any) -> None:
         while True:
-            item = await self.input_buffer.get()
+            item = await self.send_buffer.get()
             if not item:
                 continue
             if isinstance(item, tuple):
                 event, data = item
             else:
                 event = item
-                data = None
+                data = {}
             if not isinstance(event, SendEvents):
                 event = SendEvents(event)
-            response: dict[str, Any] = {
-                "type": event,
-            }
+            response: dict[str, Any] = {"type": event.value}
             match event:
                 case SendEvents.SESSION_UPDATE:
                     if "settings" not in data:
@@ -651,170 +663,153 @@ async def start_sending(self, input_audio_track: MediaStreamTrack | None = None,
                     if "response_id" in data:
                         response["response_id"] = data["response_id"]
 
-            self.data_channel.send(json.dumps(response))
+            if self.data_channel:
+                while self.data_channel.readyState != "open":
+                    await asyncio.sleep(0.1)
+                try:
+                    self.data_channel.send(json.dumps(response))
+                except Exception as e:
+                    logger.error(f"Failed to send event {event} with error: {e!s}")
 
     @override
     async def create_session(
         self,
         settings: PromptExecutionSettings | None = None,
         chat_history: ChatHistory | None = None,
+        audio_track: MediaStreamTrack | None = None,
         **kwargs: Any,
     ) -> None:
         """Create a session in the service."""
-        if settings or chat_history or kwargs:
-            await self.update_session(settings=settings, chat_history=chat_history, **kwargs)
+        ice_servers = [RTCIceServer(urls=["stun:stun.l.google.com:19302"])]
+        self.peer_connection = RTCPeerConnection(configuration=RTCConfiguration(iceServers=ice_servers))
 
-    async def get_ephemeral_token(self) -> str:
-        """Get an ephemeral token from OpenAI."""
-        headers = {"Authorization": f"Bearer {self.client.api_key}", "Content-Type": "application/json"}
-        data = {"model": self.ai_model_id, "voice": "echo"}
+        self.peer_connection.on("track")(self._on_track)
+
+        self.data_channel = self.peer_connection.createDataChannel("oai-events", protocol="json")
+        self.data_channel.on("message")(self._on_data)
+
+        self.peer_connection.addTransceiver(audio_track or SKAudioTrack(), "sendrecv")
+
+        offer = await self.peer_connection.createOffer()
+        await self.peer_connection.setLocalDescription(offer)
 
         try:
+            ephemeral_token = await self.get_ephemeral_token()
+            headers = {"Authorization": f"Bearer {ephemeral_token}", "Content-Type": "application/sdp"}
+
             async with (
                 ClientSession() as session,
                 session.post(
-                    f"{self.client.beta.realtime._client.base_url}/realtime/sessions", headers=headers, json=data
+                    f"{self.client.beta.realtime._client.base_url}realtime?model={self.ai_model_id}",
+                    headers=headers,
+                    data=offer.sdp,
                 ) as response,
             ):
                 if response.status not in [200, 201]:
                     error_text = await response.text()
-                    raise Exception(f"Failed to get ephemeral token: {error_text}")
+                    raise Exception(f"OpenAI WebRTC error: {error_text}")
 
-                result = await response.json()
-                return result["client_secret"]["value"]
+                sdp_answer = await response.text()
+                answer = RTCSessionDescription(sdp=sdp_answer, type="answer")
+                await self.peer_connection.setRemoteDescription(answer)
+                logger.info("Connected to OpenAI WebRTC")
 
         except Exception as e:
-            logger.error(f"Failed to get ephemeral token: {e!s}")
+            logger.error(f"Failed to connect to OpenAI: {e!s}")
             raise
 
+        if settings or chat_history or kwargs:
+            await self.update_session(settings=settings, chat_history=chat_history, **kwargs)
+
     @override
     async def update_session(
-        self, settings: PromptExecutionSettings | None = None, chat_history: ChatHistory | None = None, **kwargs: Any
+        self,
+        settings: PromptExecutionSettings | None = None,
+        chat_history: ChatHistory | None = None,
+        create_response: bool = True,
+        **kwargs: Any,
     ) -> None:
+        if "kernel" in kwargs:
+            self.kernel = kwargs["kernel"]
         if settings:
-            if "kernel" in kwargs:
-                settings = prepare_settings_for_function_calling(
-                    settings,
-                    self.get_prompt_execution_settings_class(),
-                    self._update_function_choice_settings_callback(),
-                    kernel=kwargs.get("kernel"),  # type: ignore
-                )
-            await self.input_buffer.put((SendEvents.SESSION_UPDATE, {"settings": settings}))
+            self._current_settings = settings
+        if self._current_settings and self.kernel:
+            self._current_settings = prepare_settings_for_function_calling(
+                self._current_settings,
+                self.get_prompt_execution_settings_class(),
+                self._update_function_choice_settings_callback(),
+                kernel=self.kernel,  # type: ignore
+            )
+            await self.send_buffer.put((SendEvents.SESSION_UPDATE, {"settings": self._current_settings}))
         if chat_history and len(chat_history) > 0:
             for msg in chat_history.messages:
-                await self.input_buffer.put((SendEvents.CONVERSATION_ITEM_CREATE, {"item": msg}))
+                await self.send_buffer.put((SendEvents.CONVERSATION_ITEM_CREATE, {"item": msg}))
+        if create_response:
+            await self.send_buffer.put(SendEvents.RESPONSE_CREATE)
 
     @override
     async def close_session(self) -> None:
         """Close the session in the service."""
         if self.peer_connection:
-            await self.peer_connection.close()
-        if self.data_channel:
-            await self.data_channel.close()
+            with contextlib.suppress(asyncio.CancelledError):
+                await self.peer_connection.close()
         self.peer_connection = None
+        if self.data_channel:
+            with contextlib.suppress(asyncio.CancelledError):
+                self.data_channel.close()
         self.data_channel = None
 
-    # region Event callbacks
-
-    def response_audio_transcript_delta_callback(
-        self,
-        event: RealtimeServerEvent,
-        settings: PromptExecutionSettings | None = None,
-        **kwargs: Any,
-    ) -> tuple[Any, bool]:
-        """Handle response audio transcript delta."""
-        return StreamingChatMessageContent(
-            role=AuthorRole.ASSISTANT,
-            items=[StreamingTextContent(text=event.delta, choice_index=event.content_index)],
-            choice_index=event.content_index,
-            inner_content=event,
-        ), True
-
-    def response_audio_transcript_done_callback(
-        self,
-        event: RealtimeServerEvent,
-        settings: PromptExecutionSettings | None = None,
-        **kwargs: Any,
-    ) -> tuple[Any, bool]:
-        """Handle response audio transcript done."""
-        return StreamingChatMessageContent(
-            role=AuthorRole.ASSISTANT,
-            items=[StreamingTextContent(text=event.transcript, choice_index=event.content_index)],
-            choice_index=event.content_index,
-            inner_content=event,
-        ), False
-
-    def response_function_call_arguments_delta_callback(
+    async def _handle_function_call_arguments_done(
         self,
         event: RealtimeServerEvent,
-        settings: PromptExecutionSettings | None = None,
-        **kwargs: Any,
-    ) -> tuple[Any, bool]:
-        """Handle response function call arguments delta."""
-        return StreamingChatMessageContent(
-            role=AuthorRole.ASSISTANT,
-            items=[
-                FunctionCallContent(
-                    id=event.item_id,
-                    name=event.call_id,
-                    arguments=event.delta,
-                    index=event.output_index,
-                    metadata={"call_id": event.call_id},
-                )
-            ],
-            choice_index=0,
-            inner_content=event,
-        ), True
-
-    def error_callback(
-        self,
-        event: RealtimeServerEvent,
-        settings: PromptExecutionSettings | None = None,
-        **kwargs: Any,
-    ) -> None:
-        """Handle error."""
-        logger.error("Error received: %s", event.error)
-
-    def session_callback(
-        self,
-        event: RealtimeServerEvent,
-        settings: PromptExecutionSettings | None = None,
-        **kwargs: Any,
-    ) -> None:
-        """Handle session."""
-        logger.debug("Session created or updated, session: %s", event.session)
-
-    async def response_function_call_arguments_done_callback(
-        self,
-        event: RealtimeServerEvent,
-        settings: PromptExecutionSettings | None = None,
-        **kwargs: Any,
     ) -> None:
         """Handle response function call done."""
+        plugin_name, function_name = self._call_id_to_function_map.pop(event.call_id, "-").split("-", 1)
+        if not plugin_name or not function_name:
+            logger.error("Function call needs to have a plugin name and function name")
+            return
         item = FunctionCallContent(
             id=event.item_id,
-            name=event.call_id,
-            arguments=event.delta,
+            plugin_name=plugin_name,
+            function_name=function_name,
+            arguments=event.arguments,
             index=event.output_index,
             metadata={"call_id": event.call_id},
         )
-        kernel: Kernel | None = kwargs.get("kernel")
-        call_id = item.name
-        function_name = next(
-            output_item_event.item.name
-            for output_item_event in self.event_log[ListenEvents.RESPONSE_OUTPUT_ITEM_ADDED]
-            if output_item_event.item.call_id == call_id
-        )
-        item.plugin_name, item.function_name = function_name.split("-", 1)
-        if kernel:
-            chat_history = ChatHistory()
-            await kernel.invoke_function_call(item, chat_history)
-            await self.input_buffer.put((SendEvents.CONVERSATION_ITEM_CREATE, {"item": chat_history.messages[-1]}))
-            # The model doesn't start responding to the tool call automatically, so triggering it here.
-            await self.input_buffer.put(SendEvents.RESPONSE_CREATE)
-        return chat_history.messages[-1], False
+        if not self.kernel and not self._current_settings.function_choice_behavior.auto_invoke_kernel_functions:
+            return
+        chat_history = ChatHistory()
+        await self.kernel.invoke_function_call(item, chat_history)
+        created_output = chat_history.messages[-1]
+        # This returns the output to the service
+        await self.send_buffer.put((SendEvents.CONVERSATION_ITEM_CREATE, {"item": created_output}))
+        # The model doesn't start responding to the tool call automatically, so triggering it here.
+        await self.send_buffer.put(SendEvents.RESPONSE_CREATE)
+        # This allows a user to have a full conversation in his code
+        await self.receive_buffer.put((ListenEvents.RESPONSE_FUNCTION_CALL_ARGUMENTS_DONE, created_output))
+
+    async def get_ephemeral_token(self) -> str:
+        """Get an ephemeral token from OpenAI."""
+        headers = {"Authorization": f"Bearer {self.client.api_key}", "Content-Type": "application/json"}
+        data = {"model": self.ai_model_id, "voice": "echo"}
+
+        try:
+            async with (
+                ClientSession() as session,
+                session.post(
+                    f"{self.client.beta.realtime._client.base_url}/realtime/sessions", headers=headers, json=data
+                ) as response,
+            ):
+                if response.status not in [200, 201]:
+                    error_text = await response.text()
+                    raise Exception(f"Failed to get ephemeral token: {error_text}")
 
-    # region settings
+                result = await response.json()
+                return result["client_secret"]["value"]
+
+        except Exception as e:
+            logger.error(f"Failed to get ephemeral token: {e!s}")
+            raise
 
     @override
     def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]:
@@ -823,3 +818,9 @@ def get_prompt_execution_settings_class(self) -> type["PromptExecutionSettings"]
         )
 
         return OpenAIRealtimeExecutionSettings
+
+    @override
+    def _update_function_choice_settings_callback(
+        self,
+    ) -> Callable[[FunctionCallChoiceConfiguration, "PromptExecutionSettings", FunctionChoiceType], None]:
+        return update_settings_from_function_call_configuration
diff --git a/python/semantic_kernel/connectors/ai/open_ai/settings/open_ai_settings.py b/python/semantic_kernel/connectors/ai/open_ai/settings/open_ai_settings.py
index 6423a5385a33..7276af4b1f3b 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/settings/open_ai_settings.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/settings/open_ai_settings.py
@@ -32,6 +32,9 @@ class OpenAISettings(KernelBaseSettings):
         (Env var OPENAI_AUDIO_TO_TEXT_MODEL_ID)
     - text_to_audio_model_id: str | None - The OpenAI text to audio model ID to use, for example, jukebox-1.
         (Env var OPENAI_TEXT_TO_AUDIO_MODEL_ID)
+    - realtime_model_id: str | None - The OpenAI realtime model ID to use,
+    for example, gpt-4o-realtime-preview-2024-12-17.
+        (Env var OPENAI_REALTIME_MODEL_ID)
     - env_file_path: str | None - if provided, the .env settings are read from this file path location
     """
 
@@ -45,3 +48,4 @@ class OpenAISettings(KernelBaseSettings):
     text_to_image_model_id: str | None = None
     audio_to_text_model_id: str | None = None
     text_to_audio_model_id: str | None = None
+    realtime_model_id: str | None = None
diff --git a/python/semantic_kernel/connectors/ai/realtime_client_base.py b/python/semantic_kernel/connectors/ai/realtime_client_base.py
index c9a48f9d45b0..991854987faa 100644
--- a/python/semantic_kernel/connectors/ai/realtime_client_base.py
+++ b/python/semantic_kernel/connectors/ai/realtime_client_base.py
@@ -15,7 +15,6 @@
 
 from semantic_kernel.connectors.ai.function_call_choice_configuration import FunctionCallChoiceConfiguration
 from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceType
-from semantic_kernel.contents.streaming_chat_message_content import StreamingChatMessageContent
 from semantic_kernel.services.ai_service_client_base import AIServiceClientBase
 from semantic_kernel.utils.experimental_decorator import experimental_class
 
@@ -29,8 +28,8 @@ class RealtimeClientBase(AIServiceClientBase, ABC):
     """Base class for a realtime client."""
 
     SUPPORTS_FUNCTION_CALLING: ClassVar[bool] = False
-    input_buffer: Queue[tuple[str, dict[str, Any]] | str] = Field(default_factory=Queue)
-    output_buffer: Queue[tuple[str, StreamingChatMessageContent]] = Field(default_factory=Queue)
+    send_buffer: Queue[str | tuple[str, Any]] = Field(default_factory=Queue)
+    receive_buffer: Queue[tuple[str, Any]] = Field(default_factory=Queue)
 
     async def __aenter__(self) -> "RealtimeClientBase":
         """Enter the context manager.
diff --git a/python/semantic_kernel/connectors/ai/realtime_helpers.py b/python/semantic_kernel/connectors/ai/realtime_helpers.py
new file mode 100644
index 000000000000..94549c402199
--- /dev/null
+++ b/python/semantic_kernel/connectors/ai/realtime_helpers.py
@@ -0,0 +1,190 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import logging
+from typing import Any, Final
+
+import numpy as np
+import sounddevice as sd
+from aiortc.mediastreams import MediaStreamError, MediaStreamTrack
+from av.audio.frame import AudioFrame
+from av.frame import Frame
+from pydantic import Field, PrivateAttr
+
+from semantic_kernel.contents.audio_content import AudioContent
+from semantic_kernel.kernel_pydantic import KernelBaseModel
+
+logger = logging.getLogger(__name__)
+
+SAMPLE_RATE: Final[int] = 48000
+TRACK_CHANNELS: Final[int] = 1
+PLAYER_CHANNELS: Final[int] = 2
+FRAME_DURATION: Final[int] = 20
+DTYPE: Final[np.dtype] = np.int16
+
+
+class SKAudioTrack(KernelBaseModel, MediaStreamTrack):
+    """A simple class using sounddevice to record audio from the default input device.
+
+    And implementing the MediaStreamTrack interface for use with aiortc.
+    """
+
+    kind: str = "audio"
+    sample_rate: int = SAMPLE_RATE
+    channels: int = TRACK_CHANNELS
+    frame_duration: int = FRAME_DURATION
+    dtype: np.dtype = DTYPE
+    device: str | int | None = None
+    queue: asyncio.Queue[Frame] = Field(default_factory=asyncio.Queue)
+    is_recording: bool = False
+    stream: sd.InputStream | None = None
+    frame_size: int = 0
+    _recording_task: asyncio.Task | None = None
+    _loop: asyncio.AbstractEventLoop | None = None
+    _pts: int = 0  # Add this to track the pts
+
+    def __init__(self, **kwargs: Any):
+        """Initialize the audio track.
+
+        Args:
+            **kwargs: Additional keyword arguments.
+
+        """
+        kwargs["frame_size"] = int(
+            kwargs.get("sample_rate", SAMPLE_RATE) * kwargs.get("frame_duration", FRAME_DURATION) / 1000
+        )
+        super().__init__(**kwargs)
+        MediaStreamTrack.__init__(self)
+
+    async def recv(self) -> Frame:
+        """Receive the next frame of audio data."""
+        if not self._recording_task:
+            self._recording_task = asyncio.create_task(self.start_recording())
+
+        try:
+            return await self.queue.get()
+        except Exception as e:
+            logger.error(f"Error receiving audio frame: {e!s}")
+            raise MediaStreamError("Failed to receive audio frame")
+
+    async def start_recording(self):
+        """Start recording audio from the input device."""
+        if self.is_recording:
+            return
+
+        self.is_recording = True
+        self._loop = asyncio.get_running_loop()
+        self._pts = 0  # Reset pts when starting recording
+
+        try:
+
+            def callback(indata: np.ndarray, frames: int, time: Any, status: Any) -> None:
+                if status:
+                    logger.warning(f"Audio input status: {status}")
+
+                audio_data = indata.copy()
+                if audio_data.dtype != self.dtype:
+                    if self.dtype == np.int16:
+                        audio_data = (audio_data * 32767).astype(self.dtype)
+                    else:
+                        audio_data = audio_data.astype(self.dtype)
+
+                frame = AudioFrame(
+                    format="s16",
+                    layout="mono",
+                    samples=len(audio_data),
+                )
+                frame.rate = self.sample_rate
+                frame.pts = self._pts
+                frame.planes[0].update(audio_data.tobytes())
+                self._pts += len(audio_data)
+                if self._loop and self._loop.is_running():
+                    asyncio.run_coroutine_threadsafe(self.queue.put(frame), self._loop)
+
+            self.stream = sd.InputStream(
+                device=self.device,
+                channels=self.channels,
+                samplerate=self.sample_rate,
+                dtype=self.dtype,
+                blocksize=self.frame_size,
+                callback=callback,
+            )
+            self.stream.start()
+
+            while self.is_recording:
+                await asyncio.sleep(0.1)
+
+        except Exception as e:
+            logger.error(f"Error in audio recording: {e!s}")
+            raise
+        finally:
+            self.is_recording = False
+
+
+class SKSimplePlayer(KernelBaseModel):
+    """Simple class that plays audio using sounddevice.
+
+    Make sure the device_id is set to the correct device for your system.
+
+    The sample rate, channels and frame duration should be set to match the audio you
+    are receiving, the defaults are for WebRTC.
+    """
+
+    device_id: int | None = None
+    sample_rate: int = SAMPLE_RATE
+    channels: int = PLAYER_CHANNELS
+    frame_duration_ms: int = FRAME_DURATION
+    queue: asyncio.Queue[np.ndarray] = Field(default_factory=asyncio.Queue)
+    _stream: sd.OutputStream | None = PrivateAttr(None)
+
+    def model_post_init(self, __context: Any) -> None:
+        """Initialize the audio stream."""
+        self._stream = sd.OutputStream(
+            callback=self.callback,
+            samplerate=self.sample_rate,
+            channels=self.channels,
+            dtype=np.int16,
+            blocksize=int(self.sample_rate * self.frame_duration_ms / 1000),
+            device=self.device_id,
+        )
+
+    async def __aenter__(self):
+        """Start the audio stream when entering a context."""
+        self.start()
+        return self
+
+    async def __aexit__(self, exc_type, exc, tb):
+        """Stop the audio stream when exiting a context."""
+        self.stop()
+
+    def start(self):
+        """Start the audio stream."""
+        if self._stream:
+            self._stream.start()
+
+    def stop(self):
+        """Stop the audio stream."""
+        if self._stream:
+            self._stream.stop()
+
+    def callback(self, outdata, frames, time, status):
+        """This callback is called by sounddevice when it needs more audio data to play."""
+        if status:
+            logger.info(f"Audio output status: {status}")
+        if self.queue.empty():
+            return
+        data: np.ndarray = self.queue.get_nowait()
+        outdata[:] = data.reshape(outdata.shape)
+
+    async def realtime_client_callback(self, frame: AudioFrame):
+        """This function is used by the RealtimeClientBase to play audio."""
+        await self.queue.put(frame.to_ndarray())
+
+    async def add_audio(self, audio_content: AudioContent):
+        """This function is used to add audio to the queue for playing.
+
+        It uses a shortcut for this sample, because we know a AudioFrame is in the inner_content field.
+        """
+        if audio_content.inner_content and isinstance(audio_content.inner_content, AudioFrame):
+            await self.queue.put(audio_content.inner_content.to_ndarray())
+        # TODO (eavanvalkenburg): check ndarray
diff --git a/python/semantic_kernel/contents/audio_content.py b/python/semantic_kernel/contents/audio_content.py
index 77d4a9970a63..f52b467780b4 100644
--- a/python/semantic_kernel/contents/audio_content.py
+++ b/python/semantic_kernel/contents/audio_content.py
@@ -43,7 +43,7 @@ class AudioContent(BinaryContent):
     tag: ClassVar[str] = AUDIO_CONTENT_TAG
 
     @classmethod
-    def from_audio_file(cls: type[_T], path: str) -> "AudioContent":
+    def from_audio_file(cls: type[_T], path: str) -> _T:
         """Create an instance from an audio file."""
         mime_type = mimetypes.guess_type(path)[0]
         with open(path, "rb") as audio_file:
@@ -54,6 +54,6 @@ def to_dict(self) -> dict[str, Any]:
         return {"type": "audio_url", "audio_url": {"uri": str(self)}}
 
     @classmethod
-    def from_nd_array(cls: type[_T], data: ndarray, mime_type: str) -> "AudioContent":
+    def from_nd_array(cls: type[_T], data: ndarray, mime_type: str) -> _T:
         """Create an instance from an nd array."""
         return cls(data=data, mime_type=mime_type)
diff --git a/python/semantic_kernel/contents/binary_content.py b/python/semantic_kernel/contents/binary_content.py
index 7ac5840dd8fb..53a4fa5e2bde 100644
--- a/python/semantic_kernel/contents/binary_content.py
+++ b/python/semantic_kernel/contents/binary_content.py
@@ -69,25 +69,25 @@ def __init__(
                 ai_model_id (str | None): The id of the AI model that generated this response.
                 metadata (dict[str, Any]): Any metadata that should be attached to the response.
         """
-        _data_uri = None
+        data_uri_ = None
         if data_uri:
-            _data_uri = DataUri.from_data_uri(data_uri, self.default_mime_type)
+            data_uri_ = DataUri.from_data_uri(data_uri, self.default_mime_type)
             if "metadata" in kwargs:
-                kwargs["metadata"].update(_data_uri.parameters)
+                kwargs["metadata"].update(data_uri_.parameters)
             else:
-                kwargs["metadata"] = _data_uri.parameters
-        elif data:
+                kwargs["metadata"] = data_uri_.parameters
+        elif data is not None:
             match data:
                 case str():
-                    _data_uri = DataUri(
+                    data_uri_ = DataUri(
                         data_str=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
                     )
                 case bytes():
-                    _data_uri = DataUri(
+                    data_uri_ = DataUri(
                         data_bytes=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
                     )
                 case ndarray():
-                    _data_uri = DataUri(data_array=data, mime_type=mime_type or self.default_mime_type)
+                    data_uri_ = DataUri(data_array=data, mime_type=mime_type or self.default_mime_type)
 
         if uri is not None:
             if isinstance(uri, str) and os.path.exists(uri):
@@ -96,7 +96,7 @@ def __init__(
                 uri = Url(uri)
 
         super().__init__(uri=uri, **kwargs)
-        self._data_uri = _data_uri
+        self._data_uri = data_uri_
 
     @computed_field  # type: ignore
     @property
@@ -115,7 +115,7 @@ def data_uri(self, value: str):
     @property
     def data(self) -> bytes | ndarray:
         """Get the data."""
-        if self._data_uri and self._data_uri.data_array:
+        if self._data_uri and self._data_uri.data_array is not None:
             return self._data_uri.data_array
         if self._data_uri and self._data_uri.data_bytes:
             return self._data_uri.data_bytes
diff --git a/python/semantic_kernel/contents/utils/data_uri.py b/python/semantic_kernel/contents/utils/data_uri.py
index dd086f1c02ac..0c8c96fa1bc0 100644
--- a/python/semantic_kernel/contents/utils/data_uri.py
+++ b/python/semantic_kernel/contents/utils/data_uri.py
@@ -48,8 +48,8 @@ def update_data(self, value: str | bytes | ndarray):
     @classmethod
     def _validate_data(cls, values: dict[str, Any]) -> dict[str, Any]:
         """Validate the data."""
-        if not values.get("data_bytes") and not values.get("data_str"):
-            raise ContentInitializationError("Either data_bytes or data_str must be provided.")
+        if not values.get("data_bytes") and not values.get("data_str") and values.get("data_array") is None:
+            raise ContentInitializationError("Either data_bytes, data_str or data_array must be provided.")
         return values
 
     @model_validator(mode="after")
@@ -59,7 +59,7 @@ def _parse_data(self) -> Self:
         Will try to decode the data bytes to a string if it is not already set.
         However if the data array is used, it will not be converted to a string.
         """
-        if self.data_array:
+        if self.data_array is not None:
             return self
         if not self.data_str and self.data_bytes:
             if self.data_format and self.data_format.lower() == "base64":
diff --git a/python/uv.lock b/python/uv.lock
index e4f6fb2d0e24..10fe03c2c229 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -445,7 +445,7 @@ name = "build"
 version = "1.2.2.post1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "(os_name == 'nt' and sys_platform == 'darwin') or (os_name == 'nt' and sys_platform == 'linux') or (os_name == 'nt' and sys_platform == 'win32')" },
+    { name = "colorama", marker = "os_name == 'nt' and sys_platform == 'win32'" },
     { name = "importlib-metadata", marker = "(python_full_version < '3.10.2' and sys_platform == 'darwin') or (python_full_version < '3.10.2' and sys_platform == 'linux') or (python_full_version < '3.10.2' and sys_platform == 'win32')" },
     { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "pyproject-hooks", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -688,7 +688,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "(platform_system == 'Windows' and sys_platform == 'darwin') or (platform_system == 'Windows' and sys_platform == 'linux') or (platform_system == 'Windows' and sys_platform == 'win32')" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -1837,7 +1837,7 @@ name = "ipykernel"
 version = "6.29.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "appnope", marker = "(platform_system == 'Darwin' and sys_platform == 'darwin') or (platform_system == 'Darwin' and sys_platform == 'linux') or (platform_system == 'Darwin' and sys_platform == 'win32')" },
+    { name = "appnope", marker = "sys_platform == 'darwin'" },
     { name = "comm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "debugpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "ipython", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -2744,7 +2744,7 @@ name = "nvidia-cudnn-cu12"
 version = "9.1.0.70"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/9f/fd/713452cd72343f682b1c7b9321e23829f00b842ceaedcda96e742ea0b0b3/nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f", size = 664752741 },
@@ -2755,7 +2755,7 @@ name = "nvidia-cufft-cu12"
 version = "11.2.1.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/27/94/3266821f65b92b3138631e9c8e7fe1fb513804ac934485a8d05776e1dd43/nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9", size = 211459117 },
@@ -2774,9 +2774,9 @@ name = "nvidia-cusolver-cu12"
 version = "11.6.1.9"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
-    { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
-    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-cublas-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/3a/e1/5b9089a4b2a4790dfdea8b3a006052cfecff58139d5a4e34cb1a51df8d6f/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260", size = 127936057 },
@@ -2787,7 +2787,7 @@ name = "nvidia-cusparse-cu12"
 version = "12.3.1.170"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/db/f7/97a9ea26ed4bbbfc2d470994b8b4f338ef663be97b8f677519ac195e113d/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1", size = 207454763 },
@@ -3408,7 +3408,7 @@ name = "portalocker"
 version = "2.10.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pywin32", marker = "(platform_system == 'Windows' and sys_platform == 'darwin') or (platform_system == 'Windows' and sys_platform == 'linux') or (platform_system == 'Windows' and sys_platform == 'win32')" },
+    { name = "pywin32", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 }
 wheels = [
@@ -4784,7 +4784,7 @@ hugging-face = [
     { name = "transformers", extra = ["torch"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 milvus = [
-    { name = "milvus", marker = "(platform_system != 'Windows' and sys_platform == 'darwin') or (platform_system != 'Windows' and sys_platform == 'linux') or (platform_system != 'Windows' and sys_platform == 'win32')" },
+    { name = "milvus", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
     { name = "pymilvus", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 mistralai = [
@@ -4869,7 +4869,7 @@ requires-dist = [
     { name = "google-generativeai", marker = "extra == 'google'", specifier = "~=0.7" },
     { name = "ipykernel", marker = "extra == 'notebooks'", specifier = "~=6.29" },
     { name = "jinja2", specifier = "~=3.1" },
-    { name = "milvus", marker = "platform_system != 'Windows' and extra == 'milvus'", specifier = ">=2.3,<2.3.8" },
+    { name = "milvus", marker = "sys_platform != 'win32' and extra == 'milvus'", specifier = ">=2.3,<2.3.8" },
     { name = "mistralai", marker = "extra == 'mistralai'", specifier = ">=1.2,<2.0" },
     { name = "motor", marker = "extra == 'mongo'", specifier = ">=3.3.2,<3.7.0" },
     { name = "nest-asyncio", specifier = "~=1.6" },
@@ -5272,21 +5272,21 @@ dependencies = [
     { name = "fsspec", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "jinja2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "networkx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
-    { name = "nvidia-cublas-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cuda-cupti-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cuda-nvrtc-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cuda-runtime-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cudnn-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cufft-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-curand-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cusolver-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-cusparse-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-nccl-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
-    { name = "nvidia-nvtx-cu12", marker = "(platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
+    { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
     { name = "setuptools", marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" },
     { name = "sympy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
-    { name = "triton", marker = "(python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin') or (python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'linux') or (python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'win32')" },
+    { name = "triton", marker = "python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" },
     { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 wheels = [
@@ -5328,7 +5328,7 @@ name = "tqdm"
 version = "4.67.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "(platform_system == 'Windows' and sys_platform == 'darwin') or (platform_system == 'Windows' and sys_platform == 'linux') or (platform_system == 'Windows' and sys_platform == 'win32')" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 }
 wheels = [
@@ -5376,7 +5376,7 @@ name = "triton"
 version = "3.1.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" },
+    { name = "filelock", marker = "python_full_version < '3.13' and sys_platform == 'linux'" },
 ]
 wheels = [
     { url = "https://files.pythonhosted.org/packages/98/29/69aa56dc0b2eb2602b553881e34243475ea2afd9699be042316842788ff5/triton-3.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6b0dd10a925263abbe9fa37dcde67a5e9b2383fc269fdf59f5657cac38c5d1d8", size = 209460013 },

From 91909f42a3d79376bcac35d4dc57a4165d4e29c9 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 15:55:51 +0100
Subject: [PATCH 10/15] added dependency

---
 python/.pre-commit-config.yaml                |   2 +-
 python/pyproject.toml                         |   5 +-
 .../audio/04-chat_with_realtime_api.py        |   5 +
 .../open_ai/services/open_ai_realtime_base.py |   4 +-
 python/uv.lock                                | 135 ++++++++++++++++++
 5 files changed, 146 insertions(+), 5 deletions(-)

diff --git a/python/.pre-commit-config.yaml b/python/.pre-commit-config.yaml
index 0f72ca9616fc..102e3ae721b4 100644
--- a/python/.pre-commit-config.yaml
+++ b/python/.pre-commit-config.yaml
@@ -39,7 +39,7 @@ repos:
       - id: ruff-format
   - repo: https://github.com/astral-sh/uv-pre-commit
     # uv version.
-    rev: 0.5.2
+    rev: 0.5.20
     hooks:
       # Update the uv lockfile
       - id: uv-lock
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 17ada1c6c4a8..511358f60c8f 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -126,7 +126,8 @@ dapr = [
     "flask-dapr>=1.14.0"
 ]
 openai_realtime = [
-    "openai[realtime] ~= 1.0"
+    "openai[realtime] ~= 1.0",
+    "aiortc>=1.9.0"    
 ]
 
 [tool.uv]
@@ -225,5 +226,3 @@ name = "semantic_kernel"
 [build-system]
 requires = ["flit-core >= 3.9,<4.0"]
 build-backend = "flit_core.buildapi"
-
-
diff --git a/python/samples/concepts/audio/04-chat_with_realtime_api.py b/python/samples/concepts/audio/04-chat_with_realtime_api.py
index 0f895f7dc9dc..902ad72d48d4 100644
--- a/python/samples/concepts/audio/04-chat_with_realtime_api.py
+++ b/python/samples/concepts/audio/04-chat_with_realtime_api.py
@@ -156,6 +156,11 @@ async def main() -> None:
         await realtime_client.update_session(
             settings=settings, chat_history=chat_history, kernel=kernel, create_response=True
         )
+        # you can also send other events to the service, like this
+        # await realtime_client.send_buffer.put((
+        #     SendEvents.CONVERSATION_ITEM_CREATE,
+        #     {"item": ChatMessageContent(role="user", content="Hi there, who are you?")},
+        # ))
         async with asyncio.TaskGroup() as tg:
             tg.create_task(realtime_client.start_streaming())
             tg.create_task(stream_handler.listen())
diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
index e387ef4005aa..7caf5a5671df 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -529,7 +529,7 @@ async def _on_track(self, track: MediaStreamTrack) -> None:
     async def _on_data(self, data: str) -> None:
         """This method is called whenever a data channel message is received.
 
-        The data is parsed into a RealtimeServerEvent (by OpenAI) and then processed.
+        The data is parsed into a RealtimeServerEvent (by OpenAI code) and then processed.
         """
         try:
             event = cast(
@@ -580,6 +580,8 @@ async def _on_data(self, data: str) -> None:
             case _:
                 logger.debug(f"Received event: {event}")
         # we put all event in the output buffer, but after the interpreted one.
+        # so when dealing with them, make sure to check the type of the event, since they
+        # might be of different types.
         await self.receive_buffer.put((event.type, event))
 
     @override
diff --git a/python/uv.lock b/python/uv.lock
index 10fe03c2c229..f7cfeffc2f54 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -125,6 +125,50 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b8/62/c9fa5bafe03186a0e4699150a7fed9b1e73240996d0d2f0e5f70f3fdf471/aiohttp-3.11.11-cp313-cp313-win_amd64.whl", hash = "sha256:c7a06301c2fb096bdb0bd25fe2011531c1453b9f2c163c8031600ec73af1cc99", size = 436081 },
 ]
 
+[[package]]
+name = "aioice"
+version = "0.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "dnspython", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "ifaddr", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/33/b6/e2b0e48ccb5b04fe29265e93f14a0915f416e359c897ae87d570566c430b/aioice-0.9.0.tar.gz", hash = "sha256:fc2401b1c4b6e19372eaaeaa28fd1bd9cbf6b0e412e48625297c53b495eebd1e", size = 40324 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b6/35/d21e48d3ba25d32aba5d142d54c4491376c659dd74d052a30dd25198007b/aioice-0.9.0-py3-none-any.whl", hash = "sha256:b609597a3a5a611e0004ff04772e16aceb881d51c25c0afc4ceac05d5e50024e", size = 24177 },
+]
+
+[[package]]
+name = "aiortc"
+version = "1.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aioice", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "av", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "cffi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "cryptography", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "google-crc32c", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pyee", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pylibsrtp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "pyopenssl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/71/32/e9b01e2271124643e5dc15c273f2bb8155efebf5bc2115407441ac62f4c5/aiortc-1.9.0.tar.gz", hash = "sha256:03faa76d76ef0e5989ac10386898b029369756102217230e2fcd4b029c50b303", size = 1168973 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/93/01/db89910fc4dfb72ca25fd9a41326762a490d93d39d2fc4aac3f86c05857d/aiortc-1.9.0-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:e3e67c1970c2cffacac53c8f161df264efc62b22721c64a621940935028ee087", size = 1216069 },
+    { url = "https://files.pythonhosted.org/packages/4c/6d/76ed96521080492c7264eacf73a8cba2202f1ff9f59af1776c5a2532f332/aiortc-1.9.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d893cb3d4ffa0ff4f9bb03a88f0a700cdbcd4c0dc060a46c59a27ccd1c890663", size = 896012 },
+    { url = "https://files.pythonhosted.org/packages/8c/87/1f666108764fa5b557bed4f0fd5e2acccd739bb2cca2b766dcacb53e5669/aiortc-1.9.0-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:176b4eb38d833667f87cf719a7a3e105e25a35b138b30893294418c1c96e38db", size = 1779113 },
+    { url = "https://files.pythonhosted.org/packages/32/03/f3233e936f7a81549bd95f33f3d304e2a9211cb35d819d74570c0718b1ac/aiortc-1.9.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c44b610f36b8d17123855dfbe915fa6874201765b8a2c7fd9cf72d14cf417740", size = 1896322 },
+    { url = "https://files.pythonhosted.org/packages/96/99/6672cf57777801c6ddacc13e1ee07f8c2151d0847a4f81455eeec998eaed/aiortc-1.9.0-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:55505adb31d56cba19a1ef8ad6aa9b727ccdba2a83bfbfb4aa79ef3c472026a6", size = 1918600 },
+    { url = "https://files.pythonhosted.org/packages/76/e3/bdb76e7e51bc4fc7a5869597de2effad073ccf5ef14de3aed742d7384107/aiortc-1.9.0-cp38-abi3-win32.whl", hash = "sha256:680b703e35870e301535c930bfe32e7d012224a91ce51531aba45a3124ef07cc", size = 923055 },
+    { url = "https://files.pythonhosted.org/packages/6a/df/de098b31a3fbf1117f6d4cb84c14518636054e3c95a9d9f693a1123c95b3/aiortc-1.9.0-cp38-abi3-win_amd64.whl", hash = "sha256:de5e7020cfc2d2d9fb95690926ff2e3b3c30cd4f5f5bc68d5b6756a8eebb686e", size = 1009610 },
+    { url = "https://files.pythonhosted.org/packages/95/26/c382db590897fe638254f948d8514772d13ff59b5ada0a71d87322f48c52/aiortc-1.9.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34c516ae4e70e8f64494305057af09311444325722fe6938ec38dd1e111adca9", size = 1209093 },
+    { url = "https://files.pythonhosted.org/packages/68/48/2fe7de04461fdc4aee8c78c67cfe03579eaa72fb215c4b063acaeb4fd118/aiortc-1.9.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:40e61c1b84914d6f4c2968ff49353a22eed9419de74b151237cdb71af431209c", size = 888818 },
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+    { url = "https://files.pythonhosted.org/packages/82/36/ffd0f74c73fa6abca0b76bd38473ed7d82dfbada7e57c6efe2a37ee40483/aiortc-1.9.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5234177e8d3126a0190ed9b6f8d0288daedcc0158c45cc279b4e6ac7d97f43f8", size = 1868240 },
+    { url = "https://files.pythonhosted.org/packages/fb/46/8cb087a11f2f2d1139bd7e21615cc082097bffc4990d43c9f45f9cf6c8bf/aiortc-1.9.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:0e31575eb050aa68e0ea4c519aef101770b2297954f49e64a5c3d73ef27702ea", size = 1004186 },
+]
+
 [[package]]
 name = "aiosignal"
 version = "1.3.2"
@@ -239,6 +283,38 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/87/1f/bc95e43ffb57c05b8efcc376dd55a0240bf58f47ddf5a0f92452b6457b75/Authlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:d35800b973099bbadc49b42b256ecb80041ad56b7fe1216a362c7943c088f377", size = 223827 },
 ]
 
+[[package]]
+name = "av"
+version = "12.3.0"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
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+]
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 name = "pygments"
 version = "2.19.1"
@@ -3897,6 +3994,29 @@ crypto = [
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 ]
 
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 version = "0.5.1"
@@ -3968,6 +4088,19 @@ wheels = [
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+[[package]]
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+dependencies = [
+    { name = "cryptography", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "typing-extensions", marker = "(python_full_version < '3.13' and sys_platform == 'darwin') or (python_full_version < '3.13' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform == 'win32')" },
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+wheels = [
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+
 [[package]]
 name = "pyparsing"
 version = "3.2.1"
@@ -4804,6 +4937,7 @@ onnx = [
     { name = "onnxruntime-genai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 openai-realtime = [
+    { name = "aiortc", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "openai", extra = ["realtime"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 pandas = [
@@ -4850,6 +4984,7 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "aiohttp", specifier = "~=3.8" },
+    { name = "aiortc", marker = "extra == 'openai-realtime'", specifier = ">=1.9.0" },
     { name = "anthropic", marker = "extra == 'anthropic'", specifier = "~=0.32" },
     { name = "azure-ai-inference", marker = "extra == 'azure'", specifier = ">=1.0.0b6" },
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From c717aff3ed8b0cf04bdacb22c17c609638ef256e Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 15:59:52 +0100
Subject: [PATCH 11/15] added dep

---
 python/pyproject.toml |  3 ++-
 python/uv.lock        | 17 +++++++++++++++++
 2 files changed, 19 insertions(+), 1 deletion(-)

diff --git a/python/pyproject.toml b/python/pyproject.toml
index 511358f60c8f..34c098a7e1c8 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -127,7 +127,8 @@ dapr = [
 ]
 openai_realtime = [
     "openai[realtime] ~= 1.0",
-    "aiortc>=1.9.0"    
+    "aiortc>=1.9.0",
+    "sounddevice>=0.5.1",
 ]
 
 [tool.uv]
diff --git a/python/uv.lock b/python/uv.lock
index f7cfeffc2f54..5759f66158a0 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -4939,6 +4939,7 @@ onnx = [
 openai-realtime = [
     { name = "aiortc", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
     { name = "openai", extra = ["realtime"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+    { name = "sounddevice", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
 ]
 pandas = [
     { name = "pandas", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -5031,6 +5032,7 @@ requires-dist = [
     { name = "redis", extras = ["hiredis"], marker = "extra == 'redis'", specifier = "~=5.0" },
     { name = "redisvl", marker = "extra == 'redis'", specifier = ">=0.3.6" },
     { name = "sentence-transformers", marker = "extra == 'hugging-face'", specifier = ">=2.2,<4.0" },
+    { name = "sounddevice", marker = "extra == 'openai-realtime'", specifier = ">=0.5.1" },
     { name = "taskgroup", marker = "python_full_version < '3.11'", specifier = ">=0.2.2" },
     { name = "torch", marker = "extra == 'hugging-face'", specifier = "==2.5.1" },
     { name = "transformers", extras = ["torch"], marker = "extra == 'hugging-face'", specifier = "~=4.28" },
@@ -5235,6 +5237,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a5/93/84a16940c44f6ec62cf334f25aed3128a514dffc361397eee09421a1c7f2/snoop-0.6.0-py3-none-any.whl", hash = "sha256:f5ea9060e65594bf404e6841086b4a964cc27bc30569109c91a470f948b0f729", size = 27461 },
 ]
 
+[[package]]
+name = "sounddevice"
+version = "0.5.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/80/2d/b04ae180312b81dbb694504bee170eada5372242e186f6298139fd3a0513/sounddevice-0.5.1.tar.gz", hash = "sha256:09ca991daeda8ce4be9ac91e15a9a81c8f81efa6b695a348c9171ea0c16cb041", size = 52896 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/06/d1/464b5fca3decdd0cfec8c47f7b4161a0b12972453201c1bf03811f367c5e/sounddevice-0.5.1-py3-none-any.whl", hash = "sha256:e2017f182888c3f3c280d9fbac92e5dbddac024a7e3442f6e6116bd79dab8a9c", size = 32276 },
+    { url = "https://files.pythonhosted.org/packages/6f/f6/6703fe7cf3d7b7279040c792aeec6334e7305956aba4a80f23e62c8fdc44/sounddevice-0.5.1-py3-none-macosx_10_6_x86_64.macosx_10_6_universal2.whl", hash = "sha256:d16cb23d92322526a86a9490c427bf8d49e273d9ccc0bd096feecd229cde6031", size = 107916 },
+    { url = "https://files.pythonhosted.org/packages/57/a5/78a5e71f5ec0faedc54f4053775d61407bfbd7d0c18228c7f3d4252fd276/sounddevice-0.5.1-py3-none-win32.whl", hash = "sha256:d84cc6231526e7a08e89beff229c37f762baefe5e0cc2747cbe8e3a565470055", size = 312494 },
+    { url = "https://files.pythonhosted.org/packages/af/9b/15217b04f3b36d30de55fef542389d722de63f1ad81f9c72d8afc98cb6ab/sounddevice-0.5.1-py3-none-win_amd64.whl", hash = "sha256:4313b63f2076552b23ac3e0abd3bcfc0c1c6a696fc356759a13bd113c9df90f1", size = 363634 },
+]
+
 [[package]]
 name = "soupsieve"
 version = "2.6"

From 333a6e57ba416b61acf2ee60eeb07216090811bd Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 16:02:11 +0100
Subject: [PATCH 12/15] added nd

---
 python/.cspell.json | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/python/.cspell.json b/python/.cspell.json
index ea24ad2d7ce4..6abcec319fb0 100644
--- a/python/.cspell.json
+++ b/python/.cspell.json
@@ -76,6 +76,7 @@
         "SEMANTICKERNEL",
         "OTEL",
         "vectorizable",
-        "desync"
+        "desync",
+        "nd"
     ]
 }
\ No newline at end of file

From 56e949c146ea543fe19482b5f0e25b39645436d8 Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 16:04:25 +0100
Subject: [PATCH 13/15] renamed

---
 python/.cspell.json                              | 3 +--
 python/semantic_kernel/contents/audio_content.py | 4 ++--
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/python/.cspell.json b/python/.cspell.json
index 6abcec319fb0..ea24ad2d7ce4 100644
--- a/python/.cspell.json
+++ b/python/.cspell.json
@@ -76,7 +76,6 @@
         "SEMANTICKERNEL",
         "OTEL",
         "vectorizable",
-        "desync",
-        "nd"
+        "desync"
     ]
 }
\ No newline at end of file
diff --git a/python/semantic_kernel/contents/audio_content.py b/python/semantic_kernel/contents/audio_content.py
index f52b467780b4..b2661ae9ce61 100644
--- a/python/semantic_kernel/contents/audio_content.py
+++ b/python/semantic_kernel/contents/audio_content.py
@@ -54,6 +54,6 @@ def to_dict(self) -> dict[str, Any]:
         return {"type": "audio_url", "audio_url": {"uri": str(self)}}
 
     @classmethod
-    def from_nd_array(cls: type[_T], data: ndarray, mime_type: str) -> _T:
-        """Create an instance from an nd array."""
+    def from_ndarray(cls: type[_T], data: ndarray, mime_type: str) -> _T:
+        """Create an instance from an ndarray."""
         return cls(data=data, mime_type=mime_type)

From 590fcc4f1ec6641666e8309dc085b08088c07e5a Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 16:13:42 +0100
Subject: [PATCH 14/15] changed import

---
 .../ai/open_ai/services/open_ai_realtime_base.py       |  3 ++-
 .../semantic_kernel/connectors/ai/realtime_helpers.py  | 10 +++++-----
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
index 7caf5a5671df..a4b86218f525 100644
--- a/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
+++ b/python/semantic_kernel/connectors/ai/open_ai/services/open_ai_realtime_base.py
@@ -43,7 +43,6 @@
 )
 from semantic_kernel.connectors.ai.prompt_execution_settings import PromptExecutionSettings
 from semantic_kernel.connectors.ai.realtime_client_base import RealtimeClientBase
-from semantic_kernel.connectors.ai.realtime_helpers import SKAudioTrack
 from semantic_kernel.contents.audio_content import AudioContent
 from semantic_kernel.contents.chat_history import ChatHistory
 from semantic_kernel.contents.function_call_content import FunctionCallContent
@@ -682,6 +681,8 @@ async def create_session(
         **kwargs: Any,
     ) -> None:
         """Create a session in the service."""
+        from semantic_kernel.connectors.ai.realtime_helpers import SKAudioTrack
+
         ice_servers = [RTCIceServer(urls=["stun:stun.l.google.com:19302"])]
         self.peer_connection = RTCPeerConnection(configuration=RTCConfiguration(iceServers=ice_servers))
 
diff --git a/python/semantic_kernel/connectors/ai/realtime_helpers.py b/python/semantic_kernel/connectors/ai/realtime_helpers.py
index 94549c402199..b89988f90ab3 100644
--- a/python/semantic_kernel/connectors/ai/realtime_helpers.py
+++ b/python/semantic_kernel/connectors/ai/realtime_helpers.py
@@ -5,11 +5,11 @@
 from typing import Any, Final
 
 import numpy as np
-import sounddevice as sd
 from aiortc.mediastreams import MediaStreamError, MediaStreamTrack
 from av.audio.frame import AudioFrame
 from av.frame import Frame
 from pydantic import Field, PrivateAttr
+from sounddevice import InputStream, OutputStream
 
 from semantic_kernel.contents.audio_content import AudioContent
 from semantic_kernel.kernel_pydantic import KernelBaseModel
@@ -37,7 +37,7 @@ class SKAudioTrack(KernelBaseModel, MediaStreamTrack):
     device: str | int | None = None
     queue: asyncio.Queue[Frame] = Field(default_factory=asyncio.Queue)
     is_recording: bool = False
-    stream: sd.InputStream | None = None
+    stream: InputStream | None = None
     frame_size: int = 0
     _recording_task: asyncio.Task | None = None
     _loop: asyncio.AbstractEventLoop | None = None
@@ -101,7 +101,7 @@ def callback(indata: np.ndarray, frames: int, time: Any, status: Any) -> None:
                 if self._loop and self._loop.is_running():
                     asyncio.run_coroutine_threadsafe(self.queue.put(frame), self._loop)
 
-            self.stream = sd.InputStream(
+            self.stream = InputStream(
                 device=self.device,
                 channels=self.channels,
                 samplerate=self.sample_rate,
@@ -135,11 +135,11 @@ class SKSimplePlayer(KernelBaseModel):
     channels: int = PLAYER_CHANNELS
     frame_duration_ms: int = FRAME_DURATION
     queue: asyncio.Queue[np.ndarray] = Field(default_factory=asyncio.Queue)
-    _stream: sd.OutputStream | None = PrivateAttr(None)
+    _stream: OutputStream | None = PrivateAttr(None)
 
     def model_post_init(self, __context: Any) -> None:
         """Initialize the audio stream."""
-        self._stream = sd.OutputStream(
+        self._stream = OutputStream(
             callback=self.callback,
             samplerate=self.sample_rate,
             channels=self.channels,

From 0b59c15ef601169f0a3e005c147a1e01226d22ec Mon Sep 17 00:00:00 2001
From: eavanvalkenburg <github@vanvalkenburg.eu>
Date: Fri, 17 Jan 2025 16:56:00 +0100
Subject: [PATCH 15/15] binary content fix

---
 python/semantic_kernel/contents/binary_content.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/python/semantic_kernel/contents/binary_content.py b/python/semantic_kernel/contents/binary_content.py
index 53a4fa5e2bde..1eaa5e30217b 100644
--- a/python/semantic_kernel/contents/binary_content.py
+++ b/python/semantic_kernel/contents/binary_content.py
@@ -76,7 +76,9 @@ def __init__(
                 kwargs["metadata"].update(data_uri_.parameters)
             else:
                 kwargs["metadata"] = data_uri_.parameters
-        elif data is not None:
+        elif isinstance(data, ndarray):
+            data_uri_ = DataUri(data_array=data, mime_type=mime_type or self.default_mime_type)
+        elif data:
             match data:
                 case str():
                     data_uri_ = DataUri(
@@ -86,8 +88,6 @@ def __init__(
                     data_uri_ = DataUri(
                         data_bytes=data, data_format=data_format, mime_type=mime_type or self.default_mime_type
                     )
-                case ndarray():
-                    data_uri_ = DataUri(data_array=data, mime_type=mime_type or self.default_mime_type)
 
         if uri is not None:
             if isinstance(uri, str) and os.path.exists(uri):