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enrichments.py
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Optional
from typing_extensions import Literal
import httpx
from ..types import enrichment_create_params
from .._types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, omit, not_given
from .._utils import maybe_transform, async_maybe_transform
from .._compat import cached_property
from .._resource import SyncAPIResource, AsyncAPIResource
from .._response import (
to_raw_response_wrapper,
to_streamed_response_wrapper,
async_to_raw_response_wrapper,
async_to_streamed_response_wrapper,
)
from .._base_client import make_request_options
from ..types.enrichment_response import EnrichmentResponse
__all__ = ["EnrichmentsResource", "AsyncEnrichmentsResource"]
class EnrichmentsResource(SyncAPIResource):
"""Enrich documents with an Isaacus enrichment model."""
@cached_property
def with_raw_response(self) -> EnrichmentsResourceWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/isaacus-dev/isaacus-python#accessing-raw-response-data-eg-headers
"""
return EnrichmentsResourceWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> EnrichmentsResourceWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/isaacus-dev/isaacus-python#with_streaming_response
"""
return EnrichmentsResourceWithStreamingResponse(self)
def create(
self,
*,
model: Literal["kanon-2-enricher"],
texts: Union[SequenceNotStr[str], str],
overflow_strategy: Optional[Literal["auto", "drop_end", "chunk"]] | Omit = omit,
# 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,
) -> EnrichmentResponse:
"""
Enrich documents with an Isaacus enrichment model.
Args:
model: The ID of the [model](https://docs.isaacus.com/models#enrichment) to use for
enrichment.
texts: A text or array of texts to be enriched, each containing at least one
non-whitespace character.
No more than 8 texts can be enriched in a single request.
overflow_strategy: The strategy for handling content exceeding the model's maximum input length.
`auto`, which is the recommended setting, currently behaves the same as `chunk`,
which intelligently breaks the input up into smaller chunks and then stitches
the results back together into a single prediction. In the future `auto` may
implement even more sophisticated strategies for handling long contexts such as
leveraging chunk overlap and/or a specialized stitching model.
`chunk` breaks the input up into smaller chunks that fit within the model's
context window and then intelligently merges the results into a single
prediction at the cost of a minor accuracy drop.
`drop_end` drops tokens from the end of input exceeding the model's maximum
input length.
`null`, which is the default setting, raises an error if the input exceeds the
model's maximum input length.
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
"""
return self._post(
"/enrichments",
body=maybe_transform(
{
"model": model,
"texts": texts,
"overflow_strategy": overflow_strategy,
},
enrichment_create_params.EnrichmentCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=EnrichmentResponse,
)
class AsyncEnrichmentsResource(AsyncAPIResource):
"""Enrich documents with an Isaacus enrichment model."""
@cached_property
def with_raw_response(self) -> AsyncEnrichmentsResourceWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/isaacus-dev/isaacus-python#accessing-raw-response-data-eg-headers
"""
return AsyncEnrichmentsResourceWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncEnrichmentsResourceWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/isaacus-dev/isaacus-python#with_streaming_response
"""
return AsyncEnrichmentsResourceWithStreamingResponse(self)
async def create(
self,
*,
model: Literal["kanon-2-enricher"],
texts: Union[SequenceNotStr[str], str],
overflow_strategy: Optional[Literal["auto", "drop_end", "chunk"]] | Omit = omit,
# 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,
) -> EnrichmentResponse:
"""
Enrich documents with an Isaacus enrichment model.
Args:
model: The ID of the [model](https://docs.isaacus.com/models#enrichment) to use for
enrichment.
texts: A text or array of texts to be enriched, each containing at least one
non-whitespace character.
No more than 8 texts can be enriched in a single request.
overflow_strategy: The strategy for handling content exceeding the model's maximum input length.
`auto`, which is the recommended setting, currently behaves the same as `chunk`,
which intelligently breaks the input up into smaller chunks and then stitches
the results back together into a single prediction. In the future `auto` may
implement even more sophisticated strategies for handling long contexts such as
leveraging chunk overlap and/or a specialized stitching model.
`chunk` breaks the input up into smaller chunks that fit within the model's
context window and then intelligently merges the results into a single
prediction at the cost of a minor accuracy drop.
`drop_end` drops tokens from the end of input exceeding the model's maximum
input length.
`null`, which is the default setting, raises an error if the input exceeds the
model's maximum input length.
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
"""
return await self._post(
"/enrichments",
body=await async_maybe_transform(
{
"model": model,
"texts": texts,
"overflow_strategy": overflow_strategy,
},
enrichment_create_params.EnrichmentCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=EnrichmentResponse,
)
class EnrichmentsResourceWithRawResponse:
def __init__(self, enrichments: EnrichmentsResource) -> None:
self._enrichments = enrichments
self.create = to_raw_response_wrapper(
enrichments.create,
)
class AsyncEnrichmentsResourceWithRawResponse:
def __init__(self, enrichments: AsyncEnrichmentsResource) -> None:
self._enrichments = enrichments
self.create = async_to_raw_response_wrapper(
enrichments.create,
)
class EnrichmentsResourceWithStreamingResponse:
def __init__(self, enrichments: EnrichmentsResource) -> None:
self._enrichments = enrichments
self.create = to_streamed_response_wrapper(
enrichments.create,
)
class AsyncEnrichmentsResourceWithStreamingResponse:
def __init__(self, enrichments: AsyncEnrichmentsResource) -> None:
self._enrichments = enrichments
self.create = async_to_streamed_response_wrapper(
enrichments.create,
)