Skip to content

Realtime Session

[BETA] Modules concerning the realtime session modules to interact with realtime session models.

GoogleRealtimeSession(model_name, api_key=None, credentials_path=None, project_id=None, location='us-central1', tools=None, config=None)

Bases: BaseRealtimeSession

[BETA] A realtime session module to interact with Gemini Live models.

Warning

The 'GoogleRealtimeSession' class is currently in beta and may be subject to changes in the future. It is intended only for quick prototyping in local environments. Please avoid using it in production environments.

Attributes:

Name Type Description
model_name str

The name of the language model.

client_params dict[str, Any]

The Google client instance init parameters.

config LiveConnectConfig

The configuration for the realtime session.

tool_dict dict[str, Tool]

A dictionary of tools provided to the model.

Authentication

The GoogleRealtimeSession can use either Google Gen AI or Google Vertex AI.

Google Gen AI is recommended for quick prototyping and development. It requires a Gemini API key for authentication.

Usage example:

realtime_session = GoogleRealtimeSession(
    model_name="gemini-2.5-flash-native-audio-preview-12-2025",
    api_key="your_api_key"
)

Google Vertex AI is recommended to build production-ready applications. It requires a service account JSON file for authentication.

Usage example:

realtime_session = GoogleRealtimeSession(
    model_name="gemini-2.5-flash-native-audio-preview-12-2025",
    credentials_path="path/to/service_account.json"
)

If neither api_key nor credentials_path is provided, Google Gen AI will be used by default. The GOOGLE_API_KEY environment variable will be used for authentication.

Examples:

Basic usage: The GoogleRealtimeSession can be used as started as follows: python realtime_session = GoogleRealtimeSession(model_name="gemini-live-2.5-flash-preview") await realtime_session.invoke()

Tool calling: The GoogleRealtimeSession can call provided tools to perform certain tasks. This feature can be enabled by providing a list of Tool objects to the tools parameter.

Usage example:
```python
tools = [get_weather, get_temperature]
realtime_session = GoogleRealtimeSession(model_name="gemini-live-2.5-flash-preview", tools=tools)
await realtime_session.start()
```

Custom IO streamers: The GoogleRealtimeSession can be used with custom IO streamers. python input_streamers = [KeyboardInputStreamer(), LinuxMicInputStreamer()] output_streamers = [ConsoleOutputStreamer(), LinuxSpeakerOutputStreamer()] realtime_session = GoogleRealtimeSession(model_name="gemini-live-2.5-flash-preview") await realtime_session.start(input_streamers=input_streamers, output_streamers=output_streamers)

In the above example, we added a capability to use a Linux system microphone and speaker,
allowing realtime audio input and output to the model.

Initializes a new instance of the GoogleRealtimeChat class.

Parameters:

Name Type Description Default
model_name str

The name of the model to use.

required
api_key str | None

Required for Google Gen AI authentication. Cannot be used together with credentials_path. Defaults to None.

None
credentials_path str | None

Required for Google Vertex AI authentication. Path to the service account credentials JSON file. Cannot be used together with api_key. Defaults to None.

None
project_id str | None

The Google Cloud project ID for Vertex AI. Only used when authenticating with credentials_path. Defaults to None, in which case it will be loaded from the credentials file.

None
location str

The location of the Google Cloud project for Vertex AI. Only used when authenticating with credentials_path. Defaults to "us-central1".

'us-central1'
tools list[Tool] | None

Tools provided to the model to enable tool calling. Defaults to None.

None
config dict[str, Any] | None

Additional configuration for the realtime session. Defaults to None.

None
Note

If neither api_key nor credentials_path is provided, Google Gen AI will be used by default. The GOOGLE_API_KEY environment variable will be used for authentication.

LiveKitRealtimeSession(url, api_key=None, api_secret=None, room_name=None, identity=None)

Bases: BaseRealtimeSession

[BETA] A realtime session module to interact with LiveKit services.

Warning

The 'LiveKitRealtimeSession' class is currently in beta and may be subject to changes in the future. It is intended only for quick prototyping in local environments. Please avoid using it in production environments.

Attributes:

Name Type Description
url str

The URL of the LiveKit server.

Examples:

Basic usage: The LiveKitRealtimeSession can be used as started as follows: python realtime_session = LiveKitRealtimeSession(url="ws://127.0.0.1:7880", token="...") await realtime_session.start()

Custom IO streamers: The LiveKitRealtimeSession can be used with custom IO streamers. python input_streamers = [KeyboardInputStreamer(), LinuxMicInputStreamer()] output_streamers = [ConsoleOutputStreamer(), LinuxSpeakerOutputStreamer()] realtime_session = LiveKitRealtimeSession(url="ws://127.0.0.1:7880", token="...") await realtime_session.start(input_streamers=input_streamers, output_streamers=output_streamers)

In the above example, we added a capability to use a Linux system microphone and speaker,
allowing realtime audio input and output to the model.

Initializes a new instance of the LiveKitRealtimeSession class.

Parameters:

Name Type Description Default
url str

The URL of the LiveKit server.

required
api_key str | None

The API key for authentication. Defaults to None, in which case the LIVEKIT_API_KEY environment variable will be used.

None
api_secret str | None

The API secret for authentication. Defaults to None, in which case the LIVEKIT_API_SECRET environment variable will be used.

None
room_name str | None

The name of the room. Defaults to None, in which case a random UUID will be used.

None
identity str | None

The identity of the participant. Defaults to None, in which case a random UUID will be used.

None