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strands.models.openai_responses

OpenAI model provider using the Responses API.

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Docs: https://platform.openai.com/docs/api-reference/responses

class Client(Protocol)

Defined in: src/strands/models/openai_responses.py:95

Protocol defining the OpenAI Responses API interface for the underlying provider client.

@property
def responses() -> Any

Defined in: src/strands/models/openai_responses.py:100

Responses interface.

class OpenAIResponsesModel(Model)

Defined in: src/strands/models/openai_responses.py:105

OpenAI Responses API model provider implementation.

Notes:

This implementation currently only supports function tools (custom tools defined via tool_specs). OpenAI’s built-in system tools are not yet supported.

class OpenAIResponsesConfig(TypedDict)

Defined in: src/strands/models/openai_responses.py:116

Configuration options for OpenAI Responses API models.

Attributes:

  • model_id - Model ID (e.g., “gpt-4o”). For a complete list of supported models, see https://platform.openai.com/docs/models.
  • params - Model parameters (e.g., max_output_tokens, temperature, etc.). For a complete list of supported parameters, see https://platform.openai.com/docs/api-reference/responses/create.
  • stateful - Whether to enable server-side conversation state management. When True, the server stores conversation history and the client does not need to send the full message history with each request. Defaults to False.
def __init__(client_args: dict[str, Any] | None = None,
**model_config: Unpack[OpenAIResponsesConfig]) -> None

Defined in: src/strands/models/openai_responses.py:134

Initialize provider instance.

Arguments:

  • client_args - Arguments for the OpenAI client. For a complete list of supported arguments, see https://pypi.org/project/openai/.
  • **model_config - Configuration options for the OpenAI Responses API model.
@property
@override
def stateful() -> bool

Defined in: src/strands/models/openai_responses.py:152

Whether server-side conversation storage is enabled.

Derived from the stateful configuration option.

@override
def update_config(**model_config: Unpack[OpenAIResponsesConfig]) -> None

Defined in: src/strands/models/openai_responses.py:160

Update the OpenAI Responses API model configuration with the provided arguments.

Arguments:

  • **model_config - Configuration overrides.
@override
def get_config() -> OpenAIResponsesConfig

Defined in: src/strands/models/openai_responses.py:170

Get the OpenAI Responses API model configuration.

Returns:

The OpenAI Responses API model configuration.

@override
async def stream(messages: Messages,
tool_specs: list[ToolSpec] | None = None,
system_prompt: str | None = None,
*,
tool_choice: ToolChoice | None = None,
model_state: dict[str, Any] | None = None,
**kwargs: Any) -> AsyncGenerator[StreamEvent, None]

Defined in: src/strands/models/openai_responses.py:179

Stream conversation with the OpenAI Responses API model.

Arguments:

  • messages - List of message objects to be processed by the model.
  • tool_specs - List of tool specifications to make available to the model.
  • system_prompt - System prompt to provide context to the model.
  • tool_choice - Selection strategy for tool invocation.
  • model_state - Runtime state for model providers (e.g., server-side response ids).
  • **kwargs - Additional keyword arguments for future extensibility.

Yields:

Formatted message chunks from the model.

Raises:

  • ContextWindowOverflowException - If the input exceeds the model’s context window.
  • ModelThrottledException - If the request is throttled by OpenAI (rate limits).
@override
async def structured_output(
output_model: type[T],
prompt: Messages,
system_prompt: str | None = None,
**kwargs: Any) -> AsyncGenerator[dict[str, T | Any], None]

Defined in: src/strands/models/openai_responses.py:353

Get structured output from the OpenAI Responses API model.

Arguments:

  • output_model - The output model to use for the agent.
  • prompt - The prompt messages to use for the agent.
  • system_prompt - System prompt to provide context to the model.
  • **kwargs - Additional keyword arguments for future extensibility.

Yields:

Model events with the last being the structured output.

Raises:

  • ContextWindowOverflowException - If the input exceeds the model’s context window.
  • ModelThrottledException - If the request is throttled by OpenAI (rate limits).