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runs.py
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# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Iterable, Optional
from typing_extensions import Literal
import httpx
from ..... import _legacy_response
from .steps import (
Steps,
AsyncSteps,
StepsWithRawResponse,
AsyncStepsWithRawResponse,
StepsWithStreamingResponse,
AsyncStepsWithStreamingResponse,
)
from ....._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from ....._utils import maybe_transform
from ....._compat import cached_property
from ....._resource import SyncAPIResource, AsyncAPIResource
from ....._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .....pagination import SyncCursorPage, AsyncCursorPage
from ....._base_client import (
AsyncPaginator,
make_request_options,
)
from .....types.beta.threads import (
Run,
run_list_params,
run_create_params,
run_update_params,
run_submit_tool_outputs_params,
)
__all__ = ["Runs", "AsyncRuns"]
class Runs(SyncAPIResource):
@cached_property
def steps(self) -> Steps:
return Steps(self._client)
@cached_property
def with_raw_response(self) -> RunsWithRawResponse:
return RunsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> RunsWithStreamingResponse:
return RunsWithStreamingResponse(self)
def create(
self,
thread_id: str,
*,
assistant_id: str,
additional_instructions: Optional[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: Optional[str] | NotGiven = NOT_GIVEN,
tools: Optional[Iterable[run_create_params.Tool]] | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Create a run.
Args:
assistant_id: The ID of the
[assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
execute this run.
additional_instructions: Appends additional instructions at the end of the instructions for the run. This
is useful for modifying the behavior on a per-run basis without overriding other
instructions.
instructions: Overrides the
[instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
of the assistant. This is useful for modifying the behavior on a per-run basis.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
be used to execute this run. If a value is provided here, it will override the
model associated with the assistant. If not, the model associated with the
assistant will be used.
tools: Override the tools the assistant can use for this run. This is useful for
modifying the behavior on a per-run basis.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs",
body=maybe_transform(
{
"assistant_id": assistant_id,
"additional_instructions": additional_instructions,
"instructions": instructions,
"metadata": metadata,
"model": model,
"tools": tools,
},
run_create_params.RunCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def retrieve(
self,
run_id: str,
*,
thread_id: str,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Retrieves a run.
Args:
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/threads/{thread_id}/runs/{run_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def update(
self,
run_id: str,
*,
thread_id: str,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Modifies a run.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs/{run_id}",
body=maybe_transform({"metadata": metadata}, run_update_params.RunUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def list(
self,
thread_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> SyncCursorPage[Run]:
"""
Returns a list of runs belonging to a thread.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/runs",
page=SyncCursorPage[Run],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
run_list_params.RunListParams,
),
),
model=Run,
)
def cancel(
self,
run_id: str,
*,
thread_id: str,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Cancels a run that is `in_progress`.
Args:
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs/{run_id}/cancel",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def submit_tool_outputs(
self,
run_id: str,
*,
thread_id: str,
tool_outputs: Iterable[run_submit_tool_outputs_params.ToolOutput],
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
When a run has the `status: "requires_action"` and `required_action.type` is
`submit_tool_outputs`, this endpoint can be used to submit the outputs from the
tool calls once they're all completed. All outputs must be submitted in a single
request.
Args:
tool_outputs: A list of tools for which the outputs are being submitted.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
body=maybe_transform(
{"tool_outputs": tool_outputs}, run_submit_tool_outputs_params.RunSubmitToolOutputsParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
class AsyncRuns(AsyncAPIResource):
@cached_property
def steps(self) -> AsyncSteps:
return AsyncSteps(self._client)
@cached_property
def with_raw_response(self) -> AsyncRunsWithRawResponse:
return AsyncRunsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncRunsWithStreamingResponse:
return AsyncRunsWithStreamingResponse(self)
async def create(
self,
thread_id: str,
*,
assistant_id: str,
additional_instructions: Optional[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: Optional[str] | NotGiven = NOT_GIVEN,
tools: Optional[Iterable[run_create_params.Tool]] | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Create a run.
Args:
assistant_id: The ID of the
[assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
execute this run.
additional_instructions: Appends additional instructions at the end of the instructions for the run. This
is useful for modifying the behavior on a per-run basis without overriding other
instructions.
instructions: Overrides the
[instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
of the assistant. This is useful for modifying the behavior on a per-run basis.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
be used to execute this run. If a value is provided here, it will override the
model associated with the assistant. If not, the model associated with the
assistant will be used.
tools: Override the tools the assistant can use for this run. This is useful for
modifying the behavior on a per-run basis.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs",
body=maybe_transform(
{
"assistant_id": assistant_id,
"additional_instructions": additional_instructions,
"instructions": instructions,
"metadata": metadata,
"model": model,
"tools": tools,
},
run_create_params.RunCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
async def retrieve(
self,
run_id: str,
*,
thread_id: str,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Retrieves a run.
Args:
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/threads/{thread_id}/runs/{run_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
async def update(
self,
run_id: str,
*,
thread_id: str,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Modifies a run.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs/{run_id}",
body=maybe_transform({"metadata": metadata}, run_update_params.RunUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def list(
self,
thread_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> AsyncPaginator[Run, AsyncCursorPage[Run]]:
"""
Returns a list of runs belonging to a thread.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/runs",
page=AsyncCursorPage[Run],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
run_list_params.RunListParams,
),
),
model=Run,
)
async def cancel(
self,
run_id: str,
*,
thread_id: str,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
Cancels a run that is `in_progress`.
Args:
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs/{run_id}/cancel",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
async def submit_tool_outputs(
self,
run_id: str,
*,
thread_id: str,
tool_outputs: Iterable[run_submit_tool_outputs_params.ToolOutput],
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Run:
"""
When a run has the `status: "requires_action"` and `required_action.type` is
`submit_tool_outputs`, this endpoint can be used to submit the outputs from the
tool calls once they're all completed. All outputs must be submitted in a single
request.
Args:
tool_outputs: A list of tools for which the outputs are being submitted.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
body=maybe_transform(
{"tool_outputs": tool_outputs}, run_submit_tool_outputs_params.RunSubmitToolOutputsParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
class RunsWithRawResponse:
def __init__(self, runs: Runs) -> None:
self._runs = runs
self.create = _legacy_response.to_raw_response_wrapper(
runs.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
runs.retrieve,
)
self.update = _legacy_response.to_raw_response_wrapper(
runs.update,
)
self.list = _legacy_response.to_raw_response_wrapper(
runs.list,
)
self.cancel = _legacy_response.to_raw_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = _legacy_response.to_raw_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> StepsWithRawResponse:
return StepsWithRawResponse(self._runs.steps)
class AsyncRunsWithRawResponse:
def __init__(self, runs: AsyncRuns) -> None:
self._runs = runs
self.create = _legacy_response.async_to_raw_response_wrapper(
runs.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
runs.retrieve,
)
self.update = _legacy_response.async_to_raw_response_wrapper(
runs.update,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
runs.list,
)
self.cancel = _legacy_response.async_to_raw_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = _legacy_response.async_to_raw_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> AsyncStepsWithRawResponse:
return AsyncStepsWithRawResponse(self._runs.steps)
class RunsWithStreamingResponse:
def __init__(self, runs: Runs) -> None:
self._runs = runs
self.create = to_streamed_response_wrapper(
runs.create,
)
self.retrieve = to_streamed_response_wrapper(
runs.retrieve,
)
self.update = to_streamed_response_wrapper(
runs.update,
)
self.list = to_streamed_response_wrapper(
runs.list,
)
self.cancel = to_streamed_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = to_streamed_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> StepsWithStreamingResponse:
return StepsWithStreamingResponse(self._runs.steps)
class AsyncRunsWithStreamingResponse:
def __init__(self, runs: AsyncRuns) -> None:
self._runs = runs
self.create = async_to_streamed_response_wrapper(
runs.create,
)
self.retrieve = async_to_streamed_response_wrapper(
runs.retrieve,
)
self.update = async_to_streamed_response_wrapper(
runs.update,
)
self.list = async_to_streamed_response_wrapper(
runs.list,
)
self.cancel = async_to_streamed_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = async_to_streamed_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> AsyncStepsWithStreamingResponse:
return AsyncStepsWithStreamingResponse(self._runs.steps)