pyrit.prompt_target.RealtimeTarget#

class RealtimeTarget(*, api_version: str = '2025-04-01-preview', system_prompt: str | None = None, voice: Literal['alloy', 'echo', 'shimmer'] | None = None, existing_convo: dict | None = None, **kwargs)[source]#

Bases: OpenAITarget

__init__(*, api_version: str = '2025-04-01-preview', system_prompt: str | None = None, voice: Literal['alloy', 'echo', 'shimmer'] | None = None, existing_convo: dict | None = None, **kwargs) None[source]#

RealtimeTarget class for Azure OpenAI Realtime API.

Read more at https://learn.microsoft.com/en-us/azure/ai-services/openai/realtime-audio-reference and https://platform.openai.com/docs/guides/realtime-websocket

Parameters:
  • model_name (str, Optional) – The name of the model.

  • endpoint (str, Optional) – The target URL for the OpenAI service.

  • api_key (str, Optional) – The API key for accessing the Azure OpenAI service. Defaults to the OPENAI_CHAT_KEY environment variable.

  • headers (str, Optional) – Headers of the endpoint (JSON).

  • use_aad_auth (bool, Optional) – When set to True, user authentication is used instead of API Key. DefaultAzureCredential is taken for https://cognitiveservices.azure.com/.default . Please run az login locally to leverage user AuthN.

  • api_version (str, Optional) – The version of the Azure OpenAI API. Defaults to “2024-06-01”.

  • max_requests_per_minute (int, Optional) – Number of requests the target can handle per minute before hitting a rate limit. The number of requests sent to the target will be capped at the value provided.

  • api_version – The version of the Azure OpenAI API. Defaults to “2024-10-01-preview”.

  • system_prompt (str, Optional) – The system prompt to use. Defaults to “You are a helpful AI assistant”.

  • voice (literal str, Optional) – The voice to use. Defaults to None. the only supported voices by the AzureOpenAI Realtime API are “alloy”, “echo”, and “shimmer”.

  • existing_convo (dict[str, websockets.WebSocketClientProtocol], Optional) – Existing conversations.

  • httpx_client_kwargs (dict, Optional) – Additional kwargs to be passed to the httpx.AsyncClient() constructor. For example, to specify a 3 minutes timeout: httpx_client_kwargs={“timeout”: 180}

Methods

__init__(*[, api_version, system_prompt, ...])

RealtimeTarget class for Azure OpenAI Realtime API.

cleanup_conversation(conversation_id)

Disconnects from the WebSocket server for a specific conversation

cleanup_target()

Disconnects from the WebSocket server to clean up, cleaning up all existing conversations.

connect()

Connects to Realtime API Target using websockets.

dispose_db_engine()

Dispose DuckDB database engine to release database connections and resources.

get_identifier()

is_json_response_supported()

Indicates that this target supports JSON response format.

is_response_format_json(request_piece)

Checks if the response format is JSON and ensures the target supports it.

receive_events(conversation_id)

Continuously receive events from the WebSocket server.

refresh_auth_headers()

Refresh the authentication headers.

save_audio(audio_bytes[, num_channels, ...])

Saves audio bytes to a WAV file.

send_audio_async(filename, conversation_id)

Send an audio message to the WebSocket server.

send_config(conversation_id)

Sends the session configuration to the WebSocket server.

send_event(event, conversation_id)

Sends an event to the WebSocket server.

send_prompt_async(**kwargs)

Sends a normalized prompt async to the prompt target.

send_response_create(conversation_id)

Sends response.create message to the WebSocket server.

send_text_async(text, conversation_id)

Sends text prompt to the WebSocket server.

set_system_prompt(*, system_prompt, ...[, ...])

Sets the system prompt for the prompt target.

Attributes

api_key_environment_variable: str#
async cleanup_conversation(conversation_id: str)[source]#

Disconnects from the WebSocket server for a specific conversation

Parameters:

conversation_id (str) – The conversation ID to disconnect from.

async cleanup_target()[source]#

Disconnects from the WebSocket server to clean up, cleaning up all existing conversations.

async connect()[source]#

Connects to Realtime API Target using websockets. Returns the WebSocket connection.

endpoint_environment_variable: str#
is_json_response_supported() bool[source]#

Indicates that this target supports JSON response format.

model_name_environment_variable: str#
async receive_events(conversation_id: str) RealtimeTargetResult[source]#

Continuously receive events from the WebSocket server.

Parameters:

conversation_id – conversation ID

Returns:

Collection of conversation messages with audio data at index 0 (bytes) and transcript at index 1 (str) if available

Return type:

List[Union[bytes, str]]

Raises:
  • ConnectionError – If WebSocket connection is not valid

  • ValueError – If received event doesn’t match expected structure

async save_audio(audio_bytes: bytes, num_channels: int = 1, sample_width: int = 2, sample_rate: int = 16000, output_filename: str | None = None) str[source]#

Saves audio bytes to a WAV file.

Parameters:
  • audio_bytes (bytes) – Audio bytes to save.

  • num_channels (int) – Number of audio channels. Defaults to 1 for the PCM16 format

  • sample_width (int) – Sample width in bytes. Defaults to 2 for the PCM16 format

  • sample_rate (int) – Sample rate in Hz. Defaults to 16000 Hz for the PCM16 format

  • output_filename (str) – Output filename. If None, a UUID filename will be used.

Returns:

The path to the saved audio file.

Return type:

str

async send_audio_async(filename: str, conversation_id: str) Tuple[str, RealtimeTargetResult][source]#

Send an audio message to the WebSocket server.

Parameters:

filename (str) – The path to the audio file.

async send_config(conversation_id: str)[source]#

Sends the session configuration to the WebSocket server.

Parameters:

conversation_id (str) – Conversation ID

async send_event(event: dict, conversation_id: str)[source]#

Sends an event to the WebSocket server.

Parameters:
  • event (dict) – Event to send in dictionary format.

  • conversation_id (str) – Conversation ID

async send_prompt_async(**kwargs)#

Sends a normalized prompt async to the prompt target.

async send_response_create(conversation_id: str)[source]#

Sends response.create message to the WebSocket server.

Parameters:

conversation_id (str) – Conversation ID

async send_text_async(text: str, conversation_id: str) Tuple[str, RealtimeTargetResult][source]#

Sends text prompt to the WebSocket server. :param text: prompt to send. :param conversation_id: conversation ID

supported_converters: list#