VoiceAgentResponseCreateParams Class
Parameters accepted by a voice-agent response.create event.
Constructor
VoiceAgentResponseCreateParams(*args: Any, **kwargs: Any)
Variables
| Name | Description |
|---|---|
|
instructions
|
The default system instructions (i.e. system message) prepended to model
calls. This field allows the client to guide the model on desired responses. The model can be
instructed on response content and format, (e.g. "be extremely succinct", "act friendly", "here
are examples of good responses") and on audio behavior (e.g. "talk quickly", "inject emotion
into your voice", "laugh frequently"). The instructions are not guaranteed to be followed by
the model, but they provide guidance to the model on the desired behavior. Note that the server
sets default instructions which will be used if this field is not set and are visible in the
|
|
tools
|
Tools available to the model. |
|
tool_choice
|
How the model chooses tools. Provide one of the string modes or force a specific function/MCP tool. Is one of the following types: Union[str, "_models.ToolChoiceOptions"], ToolChoiceFunction, ToolChoiceMCP |
|
parallel_tool_calls
|
Whether the model may call multiple tools in parallel. Only
supported by reasoning Realtime models such as |
|
reasoning
|
|
|
max_output_tokens
|
Maximum number of output tokens for a single assistant response,
inclusive of tool calls. Provide an integer between 1 and 4096 to limit output tokens, or
|
|
conversation
|
Controls which conversation the response is added to. Currently supports
|
|
metadata
|
|
|
output_modalities
|
Modalities that the response may return. |
|
audio
|
Response-specific audio settings. |
|
input
|
Conversation items used as inline response input. |
|
pre_generated_assistant_message
|
A pre-generated assistant message used to begin the response. |
|
interim_response
|
Interim-response settings for this response. |
Methods
| as_dict |
Return a dict that can be turned into json using json.dump. |
| clear |
Remove all items from the dictionary. |
| copy | |
| get |
Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: The value for key if key is in the dictionary, else default. :rtype: any |
| items | |
| keys | |
| pop |
Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given. |
| popitem |
Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if the dictionary is empty. |
| setdefault |
Return the value for key if key is in the dictionary; otherwise set the key to default and return default. :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: The value for key if key is in the dictionary, else default. :rtype: any |
| update |
Update the dictionary from a mapping or an iterable of key-value pairs. :param any args: Either a mapping object or an iterable of key-value pairs. |
| values |
as_dict
Return a dict that can be turned into json using json.dump.
as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]
Keyword-Only Parameters
| Name | Description |
|---|---|
|
exclude_readonly
|
Whether to remove the readonly properties. Default value: False
|
Returns
| Type | Description |
|---|---|
|
A dict JSON compatible object |
clear
Remove all items from the dictionary.
clear() -> None
copy
copy() -> Model
get
Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: The value for key if key is in the dictionary, else default. :rtype: any
get(key: str, default: Any = None) -> Any
Parameters
| Name | Description |
|---|---|
|
key
Required
|
|
|
default
|
Default value: None
|
items
items() -> ItemsView[str, Any]
Returns
| Type | Description |
|---|---|
|
a set-like object providing a view on the mapping's items |
keys
keys() -> KeysView[str]
Returns
| Type | Description |
|---|---|
|
a set-like object providing a view on the mapping's keys |
pop
Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.
pop(key: str, default: ~typing.Any = <object object>) -> Any
Parameters
| Name | Description |
|---|---|
|
key
Required
|
|
|
default
|
|
popitem
Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if the dictionary is empty.
popitem() -> tuple[str, Any]
setdefault
Return the value for key if key is in the dictionary; otherwise set the key to default and return default. :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: The value for key if key is in the dictionary, else default. :rtype: any
setdefault(key: str, default: ~typing.Any = <object object>) -> Any
Parameters
| Name | Description |
|---|---|
|
key
Required
|
|
|
default
|
|
update
Update the dictionary from a mapping or an iterable of key-value pairs. :param any args: Either a mapping object or an iterable of key-value pairs.
update(*args: Any, **kwargs: Any) -> None
values
values() -> ValuesView[Any]
Returns
| Type | Description |
|---|---|
|
an object providing a view on the mapping's values |
Attributes
audio
Response-specific audio settings.
audio: _models.PickPropertiesVoiceAgentAudioConfig | None
conversation
Controls which conversation the response is added to. Currently supports auto and none,
with auto as the default value. The auto value means that the contents of the response
will be added to the default conversation. Set this to none to create an out-of-band
response which will not add items to default conversation. Is one of the following types:
Literal["auto"], Literal["none"], str
conversation: Literal['auto'] | Literal['none'] | str | None
input
Conversation items used as inline response input.
input: list['_models.RealtimeConversationItem'] | None
instructions
The default system instructions (i.e. system message) prepended to model calls. This field
allows the client to guide the model on desired responses. The model can be instructed on
response content and format, (e.g. "be extremely succinct", "act friendly", "here are
examples of good responses") and on audio behavior (e.g. "talk quickly", "inject emotion
into your voice", "laugh frequently"). The instructions are not guaranteed to be followed by
the model, but they provide guidance to the model on the desired behavior. Note that the server
sets default instructions which will be used if this field is not set and are visible in the
session.created event at the start of the session.
instructions: str | None
interim_response
Interim-response settings for this response.
interim_response: _models.VoiceAgentInterimResponseConfig | None
max_output_tokens
Maximum number of output tokens for a single assistant response, inclusive of tool calls.
Provide an integer between 1 and 4096 to limit output tokens, or inf for the maximum
available tokens for a given model. Defaults to inf. Is either a int type or a
Literal["inf"] type.
max_output_tokens: int | Literal['inf'] | None
metadata
metadata: _models.Metadata | None
output_modalities
Modalities that the response may return.
output_modalities: list[typing.Union[str, ForwardRef('_models.VoiceOutputModality')]] | None
parallel_tool_calls
Whether the model may call multiple tools in parallel. Only supported by reasoning Realtime
models such as gpt-realtime-2.
parallel_tool_calls: bool | None
pre_generated_assistant_message
A pre-generated assistant message used to begin the response.
pre_generated_assistant_message: _models.RealtimeConversationItem | None
reasoning
reasoning: _models.RealtimeReasoning | None
tool_choice
How the model chooses tools. Provide one of the string modes or force a specific function/MCP tool. Is one of the following types: Union[str, "_models.ToolChoiceOptions"], ToolChoiceFunction, ToolChoiceMCP
tool_choice: str | _models.ToolChoiceOptions | _models.ToolChoiceFunction | _models.ToolChoiceMCP | None
tools
Tools available to the model.
tools: list[typing.Union[ForwardRef('_models.RealtimeFunctionTool'), ForwardRef('_models.MCPTool')]] | None