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checkpoints.py
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checkpoints.py
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import httpx
from .... import _legacy_response
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.fine_tuning.jobs import FineTuningJobCheckpoint, checkpoint_list_params
__all__ = ["Checkpoints", "AsyncCheckpoints"]
class Checkpoints(SyncAPIResource):
@cached_property
def with_raw_response(self) -> CheckpointsWithRawResponse:
return CheckpointsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> CheckpointsWithStreamingResponse:
return CheckpointsWithStreamingResponse(self)
def list(
self,
fine_tuning_job_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
limit: int | 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[FineTuningJobCheckpoint]:
"""
List checkpoints for a fine-tuning job.
Args:
after: Identifier for the last checkpoint ID from the previous pagination request.
limit: Number of checkpoints to retrieve.
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 fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return self._get_api_list(
f"/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints",
page=SyncCursorPage[FineTuningJobCheckpoint],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"limit": limit,
},
checkpoint_list_params.CheckpointListParams,
),
),
model=FineTuningJobCheckpoint,
)
class AsyncCheckpoints(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncCheckpointsWithRawResponse:
return AsyncCheckpointsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncCheckpointsWithStreamingResponse:
return AsyncCheckpointsWithStreamingResponse(self)
def list(
self,
fine_tuning_job_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
limit: int | 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[FineTuningJobCheckpoint, AsyncCursorPage[FineTuningJobCheckpoint]]:
"""
List checkpoints for a fine-tuning job.
Args:
after: Identifier for the last checkpoint ID from the previous pagination request.
limit: Number of checkpoints to retrieve.
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 fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return self._get_api_list(
f"/fine_tuning/jobs/{fine_tuning_job_id}/checkpoints",
page=AsyncCursorPage[FineTuningJobCheckpoint],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"limit": limit,
},
checkpoint_list_params.CheckpointListParams,
),
),
model=FineTuningJobCheckpoint,
)
class CheckpointsWithRawResponse:
def __init__(self, checkpoints: Checkpoints) -> None:
self._checkpoints = checkpoints
self.list = _legacy_response.to_raw_response_wrapper(
checkpoints.list,
)
class AsyncCheckpointsWithRawResponse:
def __init__(self, checkpoints: AsyncCheckpoints) -> None:
self._checkpoints = checkpoints
self.list = _legacy_response.async_to_raw_response_wrapper(
checkpoints.list,
)
class CheckpointsWithStreamingResponse:
def __init__(self, checkpoints: Checkpoints) -> None:
self._checkpoints = checkpoints
self.list = to_streamed_response_wrapper(
checkpoints.list,
)
class AsyncCheckpointsWithStreamingResponse:
def __init__(self, checkpoints: AsyncCheckpoints) -> None:
self._checkpoints = checkpoints
self.list = async_to_streamed_response_wrapper(
checkpoints.list,
)