github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-26 22:05:29 +00:00
Code Issues Packages Projects Releases Wiki Activity

voyageai[major]: upgrade pydantic (#26070)

Browse Source
This commit is contained in:
ccurme
2024-09-04 18:59:13 -04:00
committed by GitHub
parent fd1f3ca213
commit 6e853501ec
9 changed files with 96 additions and 262 deletions
Download Patch File Download Diff File Expand all files Collapse all files

45
libs/partners/voyageai/langchain_voyageai/embeddings.py
View File

@@ -1,15 +1,18 @@
import logging
from typing import Iterable, List, Optional
from typing import Any, Iterable, List, Optional
import voyageai # type: ignore
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import (
BaseModel,
Field,
SecretStr,
root_validator,
)
from langchain_core.utils import secret_from_env
from pydantic import (
BaseModel,
ConfigDict,
Field,
PrivateAttr,
SecretStr,
model_validator,
)
from typing_extensions import Self
logger = logging.getLogger(__name__)
@@ -25,8 +28,8 @@ class VoyageAIEmbeddings(BaseModel, Embeddings):
model = VoyageAIEmbeddings()
"""
_client: voyageai.Client = Field(exclude=True)
_aclient: voyageai.client_async.AsyncClient = Field(exclude=True)
_client: voyageai.Client = PrivateAttr()
_aclient: voyageai.client_async.AsyncClient = PrivateAttr()
model: str
batch_size: int
show_progress_bar: bool = False
@@ -40,12 +43,14 @@ class VoyageAIEmbeddings(BaseModel, Embeddings):
),
)
class Config:
extra = "forbid"
allow_population_by_field_name = True
model_config = ConfigDict(
extra="forbid",
populate_by_name=True,
)
@root_validator(pre=True)
def default_values(cls, values: dict) -> dict:
@model_validator(mode="before")
@classmethod
def default_values(cls, values: dict) -> Any:
"""Set default batch size based on model"""
model = values.get("model")
batch_size = values.get("batch_size")
@@ -53,13 +58,13 @@ class VoyageAIEmbeddings(BaseModel, Embeddings):
values["batch_size"] = 72 if model in ["voyage-2", "voyage-02"] else 7
return values
@root_validator(pre=False, skip_on_failure=True)
def validate_environment(cls, values: dict) -> dict:
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate that VoyageAI credentials exist in environment."""
api_key_str = values["voyage_api_key"].get_secret_value()
values["_client"] = voyageai.Client(api_key=api_key_str)
values["_aclient"] = voyageai.client_async.AsyncClient(api_key=api_key_str)
return values
api_key_str = self.voyage_api_key.get_secret_value()
self._client = voyageai.Client(api_key=api_key_str)
self._aclient = voyageai.client_async.AsyncClient(api_key=api_key_str)
return self
def _get_batch_iterator(self, texts: List[str]) -> Iterable:
if self.show_progress_bar:

14
libs/partners/voyageai/langchain_voyageai/rerank.py
View File

@@ -2,14 +2,14 @@ from __future__ import annotations
import os
from copy import deepcopy
from typing import Dict, Optional, Sequence, Union
from typing import Any, Dict, Optional, Sequence, Union
import voyageai # type: ignore
from langchain_core.callbacks.manager import Callbacks
from langchain_core.documents import Document
from langchain_core.documents.compressor import BaseDocumentCompressor
from langchain_core.pydantic_v1 import SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str
from pydantic import ConfigDict, SecretStr, model_validator
from voyageai.object import RerankingObject # type: ignore
@@ -28,11 +28,13 @@ class VoyageAIRerank(BaseDocumentCompressor):
"""Number of documents to return."""
truncation: bool = True
class Config:
arbitrary_types_allowed = True
model_config = ConfigDict(
arbitrary_types_allowed=True,
)
@root_validator(pre=True)
def validate_environment(cls, values: Dict) -> Dict:
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: Dict) -> Any:
"""Validate that api key exists in environment."""
voyage_api_key = values.get("voyage_api_key") or os.getenv(
"VOYAGE_API_KEY", None

239
libs/partners/voyageai/poetry.lock generated
View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohttp"
@@ -132,9 +132,6 @@ files = [
{file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
]
[package.dependencies]
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "async-timeout"
version = "4.0.3"
@@ -466,10 +463,10 @@ files = [
[[package]]
name = "langchain-core"
version = "0.2.11"
version = "0.2.38"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
python-versions = ">=3.9,<4.0"
files = []
develop = true
@@ -483,6 +480,7 @@ pydantic = [
]
PyYAML = ">=5.3"
tenacity = "^8.1.0,!=8.4.0"
typing-extensions = ">=4.7"
[package.source]
type = "directory"
@@ -608,52 +606,49 @@ files = [
[[package]]
name = "mypy"
version = "0.991"
version = "1.11.2"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.7"
python-versions = ">=3.8"
files = [
{file = "mypy-0.991-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7d17e0a9707d0772f4a7b878f04b4fd11f6f5bcb9b3813975a9b13c9332153ab"},
{file = "mypy-0.991-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0714258640194d75677e86c786e80ccf294972cc76885d3ebbb560f11db0003d"},
{file = "mypy-0.991-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0c8f3be99e8a8bd403caa8c03be619544bc2c77a7093685dcf308c6b109426c6"},
{file = "mypy-0.991-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc9ec663ed6c8f15f4ae9d3c04c989b744436c16d26580eaa760ae9dd5d662eb"},
{file = "mypy-0.991-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4307270436fd7694b41f913eb09210faff27ea4979ecbcd849e57d2da2f65305"},
{file = "mypy-0.991-cp310-cp310-win_amd64.whl", hash = "sha256:901c2c269c616e6cb0998b33d4adbb4a6af0ac4ce5cd078afd7bc95830e62c1c"},
{file = "mypy-0.991-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d13674f3fb73805ba0c45eb6c0c3053d218aa1f7abead6e446d474529aafc372"},
{file = "mypy-0.991-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1c8cd4fb70e8584ca1ed5805cbc7c017a3d1a29fb450621089ffed3e99d1857f"},
{file = "mypy-0.991-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:209ee89fbb0deed518605edddd234af80506aec932ad28d73c08f1400ef80a33"},
{file = "mypy-0.991-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37bd02ebf9d10e05b00d71302d2c2e6ca333e6c2a8584a98c00e038db8121f05"},
{file = "mypy-0.991-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:26efb2fcc6b67e4d5a55561f39176821d2adf88f2745ddc72751b7890f3194ad"},
{file = "mypy-0.991-cp311-cp311-win_amd64.whl", hash = "sha256:3a700330b567114b673cf8ee7388e949f843b356a73b5ab22dd7cff4742a5297"},
{file = "mypy-0.991-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:1f7d1a520373e2272b10796c3ff721ea1a0712288cafaa95931e66aa15798813"},
{file = "mypy-0.991-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:641411733b127c3e0dab94c45af15fea99e4468f99ac88b39efb1ad677da5711"},
{file = "mypy-0.991-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:3d80e36b7d7a9259b740be6d8d906221789b0d836201af4234093cae89ced0cd"},
{file = "mypy-0.991-cp37-cp37m-win_amd64.whl", hash = "sha256:e62ebaad93be3ad1a828a11e90f0e76f15449371ffeecca4a0a0b9adc99abcef"},
{file = "mypy-0.991-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:b86ce2c1866a748c0f6faca5232059f881cda6dda2a893b9a8373353cfe3715a"},
{file = "mypy-0.991-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ac6e503823143464538efda0e8e356d871557ef60ccd38f8824a4257acc18d93"},
{file = "mypy-0.991-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0cca5adf694af539aeaa6ac633a7afe9bbd760df9d31be55ab780b77ab5ae8bf"},
{file = "mypy-0.991-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a12c56bf73cdab116df96e4ff39610b92a348cc99a1307e1da3c3768bbb5b135"},
{file = "mypy-0.991-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:652b651d42f155033a1967739788c436491b577b6a44e4c39fb340d0ee7f0d70"},
{file = "mypy-0.991-cp38-cp38-win_amd64.whl", hash = "sha256:4175593dc25d9da12f7de8de873a33f9b2b8bdb4e827a7cae952e5b1a342e243"},
{file = "mypy-0.991-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:98e781cd35c0acf33eb0295e8b9c55cdbef64fcb35f6d3aa2186f289bed6e80d"},
{file = "mypy-0.991-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6d7464bac72a85cb3491c7e92b5b62f3dcccb8af26826257760a552a5e244aa5"},
{file = "mypy-0.991-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c9166b3f81a10cdf9b49f2d594b21b31adadb3d5e9db9b834866c3258b695be3"},
{file = "mypy-0.991-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8472f736a5bfb159a5e36740847808f6f5b659960115ff29c7cecec1741c648"},
{file = "mypy-0.991-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5e80e758243b97b618cdf22004beb09e8a2de1af481382e4d84bc52152d1c476"},
{file = "mypy-0.991-cp39-cp39-win_amd64.whl", hash = "sha256:74e259b5c19f70d35fcc1ad3d56499065c601dfe94ff67ae48b85596b9ec1461"},
{file = "mypy-0.991-py3-none-any.whl", hash = "sha256:de32edc9b0a7e67c2775e574cb061a537660e51210fbf6006b0b36ea695ae9bb"},
{file = "mypy-0.991.tar.gz", hash = "sha256:3c0165ba8f354a6d9881809ef29f1a9318a236a6d81c690094c5df32107bde06"},
{file = "mypy-1.11.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d42a6dd818ffce7be66cce644f1dff482f1d97c53ca70908dff0b9ddc120b77a"},
{file = "mypy-1.11.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:801780c56d1cdb896eacd5619a83e427ce436d86a3bdf9112527f24a66618fef"},
{file = "mypy-1.11.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:41ea707d036a5307ac674ea172875f40c9d55c5394f888b168033177fce47383"},
{file = "mypy-1.11.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6e658bd2d20565ea86da7d91331b0eed6d2eee22dc031579e6297f3e12c758c8"},
{file = "mypy-1.11.2-cp310-cp310-win_amd64.whl", hash = "sha256:478db5f5036817fe45adb7332d927daa62417159d49783041338921dcf646fc7"},
{file = "mypy-1.11.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75746e06d5fa1e91bfd5432448d00d34593b52e7e91a187d981d08d1f33d4385"},
{file = "mypy-1.11.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a976775ab2256aadc6add633d44f100a2517d2388906ec4f13231fafbb0eccca"},
{file = "mypy-1.11.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cd953f221ac1379050a8a646585a29574488974f79d8082cedef62744f0a0104"},
{file = "mypy-1.11.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:57555a7715c0a34421013144a33d280e73c08df70f3a18a552938587ce9274f4"},
{file = "mypy-1.11.2-cp311-cp311-win_amd64.whl", hash = "sha256:36383a4fcbad95f2657642a07ba22ff797de26277158f1cc7bd234821468b1b6"},
{file = "mypy-1.11.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e8960dbbbf36906c5c0b7f4fbf2f0c7ffb20f4898e6a879fcf56a41a08b0d318"},
{file = "mypy-1.11.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:06d26c277962f3fb50e13044674aa10553981ae514288cb7d0a738f495550b36"},
{file = "mypy-1.11.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6e7184632d89d677973a14d00ae4d03214c8bc301ceefcdaf5c474866814c987"},
{file = "mypy-1.11.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3a66169b92452f72117e2da3a576087025449018afc2d8e9bfe5ffab865709ca"},
{file = "mypy-1.11.2-cp312-cp312-win_amd64.whl", hash = "sha256:969ea3ef09617aff826885a22ece0ddef69d95852cdad2f60c8bb06bf1f71f70"},
{file = "mypy-1.11.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:37c7fa6121c1cdfcaac97ce3d3b5588e847aa79b580c1e922bb5d5d2902df19b"},
{file = "mypy-1.11.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4a8a53bc3ffbd161b5b2a4fff2f0f1e23a33b0168f1c0778ec70e1a3d66deb86"},
{file = "mypy-1.11.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2ff93107f01968ed834f4256bc1fc4475e2fecf6c661260066a985b52741ddce"},
{file = "mypy-1.11.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:edb91dded4df17eae4537668b23f0ff6baf3707683734b6a818d5b9d0c0c31a1"},
{file = "mypy-1.11.2-cp38-cp38-win_amd64.whl", hash = "sha256:ee23de8530d99b6db0573c4ef4bd8f39a2a6f9b60655bf7a1357e585a3486f2b"},
{file = "mypy-1.11.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:801ca29f43d5acce85f8e999b1e431fb479cb02d0e11deb7d2abb56bdaf24fd6"},
{file = "mypy-1.11.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:af8d155170fcf87a2afb55b35dc1a0ac21df4431e7d96717621962e4b9192e70"},
{file = "mypy-1.11.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f7821776e5c4286b6a13138cc935e2e9b6fde05e081bdebf5cdb2bb97c9df81d"},
{file = "mypy-1.11.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:539c570477a96a4e6fb718b8d5c3e0c0eba1f485df13f86d2970c91f0673148d"},
{file = "mypy-1.11.2-cp39-cp39-win_amd64.whl", hash = "sha256:3f14cd3d386ac4d05c5a39a51b84387403dadbd936e17cb35882134d4f8f0d24"},
{file = "mypy-1.11.2-py3-none-any.whl", hash = "sha256:b499bc07dbdcd3de92b0a8b29fdf592c111276f6a12fe29c30f6c417dd546d12"},
{file = "mypy-1.11.2.tar.gz", hash = "sha256:7f9993ad3e0ffdc95c2a14b66dee63729f021968bff8ad911867579c65d13a79"},
]
[package.dependencies]
mypy-extensions = ">=0.4.3"
mypy-extensions = ">=1.0.0"
tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
typing-extensions = ">=3.10"
typing-extensions = ">=4.6.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
install-types = ["pip"]
python2 = ["typed-ast (>=1.4.0,<2)"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
@@ -667,43 +662,6 @@ files = [
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "numpy"
version = "1.24.4"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
{file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"},
{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"},
{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"},
{file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"},
{file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"},
{file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"},
{file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"},
{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"},
{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"},
{file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"},
{file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"},
{file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"},
{file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"},
{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"},
{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"},
{file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"},
{file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"},
{file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"},
{file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"},
{file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"},
{file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"},
{file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"},
{file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"},
{file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"},
{file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"},
{file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"},
{file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
]
[[package]]
name = "numpy"
version = "1.26.4"
@@ -830,25 +788,6 @@ files = [
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.7.4"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
{file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.18.4"
typing-extensions = ">=4.6.1"
[package.extras]
email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic"
version = "2.8.0"
@@ -863,102 +802,14 @@ files = [
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.20.0"
typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
]
[package.extras]
email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
version = "2.18.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic_core-2.18.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f76d0ad001edd426b92233d45c746fd08f467d56100fd8f30e9ace4b005266e4"},
{file = "pydantic_core-2.18.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:59ff3e89f4eaf14050c8022011862df275b552caef8082e37b542b066ce1ff26"},
{file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a55b5b16c839df1070bc113c1f7f94a0af4433fcfa1b41799ce7606e5c79ce0a"},
{file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4d0dcc59664fcb8974b356fe0a18a672d6d7cf9f54746c05f43275fc48636851"},
{file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8951eee36c57cd128f779e641e21eb40bc5073eb28b2d23f33eb0ef14ffb3f5d"},
{file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4701b19f7e3a06ea655513f7938de6f108123bf7c86bbebb1196eb9bd35cf724"},
{file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e00a3f196329e08e43d99b79b286d60ce46bed10f2280d25a1718399457e06be"},
{file = "pydantic_core-2.18.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97736815b9cc893b2b7f663628e63f436018b75f44854c8027040e05230eeddb"},
{file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6891a2ae0e8692679c07728819b6e2b822fb30ca7445f67bbf6509b25a96332c"},
{file = "pydantic_core-2.18.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bc4ff9805858bd54d1a20efff925ccd89c9d2e7cf4986144b30802bf78091c3e"},
{file = "pydantic_core-2.18.4-cp310-none-win32.whl", hash = "sha256:1b4de2e51bbcb61fdebd0ab86ef28062704f62c82bbf4addc4e37fa4b00b7cbc"},
{file = "pydantic_core-2.18.4-cp310-none-win_amd64.whl", hash = "sha256:6a750aec7bf431517a9fd78cb93c97b9b0c496090fee84a47a0d23668976b4b0"},
{file = "pydantic_core-2.18.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:942ba11e7dfb66dc70f9ae66b33452f51ac7bb90676da39a7345e99ffb55402d"},
{file = "pydantic_core-2.18.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b2ebef0e0b4454320274f5e83a41844c63438fdc874ea40a8b5b4ecb7693f1c4"},
{file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a642295cd0c8df1b86fc3dced1d067874c353a188dc8e0f744626d49e9aa51c4"},
{file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f09baa656c904807e832cf9cce799c6460c450c4ad80803517032da0cd062e2"},
{file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:98906207f29bc2c459ff64fa007afd10a8c8ac080f7e4d5beff4c97086a3dabd"},
{file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19894b95aacfa98e7cb093cd7881a0c76f55731efad31073db4521e2b6ff5b7d"},
{file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fbbdc827fe5e42e4d196c746b890b3d72876bdbf160b0eafe9f0334525119c8"},
{file = "pydantic_core-2.18.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f85d05aa0918283cf29a30b547b4df2fbb56b45b135f9e35b6807cb28bc47951"},
{file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e85637bc8fe81ddb73fda9e56bab24560bdddfa98aa64f87aaa4e4b6730c23d2"},
{file = "pydantic_core-2.18.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:2f5966897e5461f818e136b8451d0551a2e77259eb0f73a837027b47dc95dab9"},
{file = "pydantic_core-2.18.4-cp311-none-win32.whl", hash = "sha256:44c7486a4228413c317952e9d89598bcdfb06399735e49e0f8df643e1ccd0558"},
{file = "pydantic_core-2.18.4-cp311-none-win_amd64.whl", hash = "sha256:8a7164fe2005d03c64fd3b85649891cd4953a8de53107940bf272500ba8a788b"},
{file = "pydantic_core-2.18.4-cp311-none-win_arm64.whl", hash = "sha256:4e99bc050fe65c450344421017f98298a97cefc18c53bb2f7b3531eb39bc7805"},
{file = "pydantic_core-2.18.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:6f5c4d41b2771c730ea1c34e458e781b18cc668d194958e0112455fff4e402b2"},
{file = "pydantic_core-2.18.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2fdf2156aa3d017fddf8aea5adfba9f777db1d6022d392b682d2a8329e087cef"},
{file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4748321b5078216070b151d5271ef3e7cc905ab170bbfd27d5c83ee3ec436695"},
{file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:847a35c4d58721c5dc3dba599878ebbdfd96784f3fb8bb2c356e123bdcd73f34"},
{file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3c40d4eaad41f78e3bbda31b89edc46a3f3dc6e171bf0ecf097ff7a0ffff7cb1"},
{file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:21a5e440dbe315ab9825fcd459b8814bb92b27c974cbc23c3e8baa2b76890077"},
{file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01dd777215e2aa86dfd664daed5957704b769e726626393438f9c87690ce78c3"},
{file = "pydantic_core-2.18.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4b06beb3b3f1479d32befd1f3079cc47b34fa2da62457cdf6c963393340b56e9"},
{file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:564d7922e4b13a16b98772441879fcdcbe82ff50daa622d681dd682175ea918c"},
{file = "pydantic_core-2.18.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0eb2a4f660fcd8e2b1c90ad566db2b98d7f3f4717c64fe0a83e0adb39766d5b8"},
{file = "pydantic_core-2.18.4-cp312-none-win32.whl", hash = "sha256:8b8bab4c97248095ae0c4455b5a1cd1cdd96e4e4769306ab19dda135ea4cdb07"},
{file = "pydantic_core-2.18.4-cp312-none-win_amd64.whl", hash = "sha256:14601cdb733d741b8958224030e2bfe21a4a881fb3dd6fbb21f071cabd48fa0a"},
{file = "pydantic_core-2.18.4-cp312-none-win_arm64.whl", hash = "sha256:c1322d7dd74713dcc157a2b7898a564ab091ca6c58302d5c7b4c07296e3fd00f"},
{file = "pydantic_core-2.18.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:823be1deb01793da05ecb0484d6c9e20baebb39bd42b5d72636ae9cf8350dbd2"},
{file = "pydantic_core-2.18.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ebef0dd9bf9b812bf75bda96743f2a6c5734a02092ae7f721c048d156d5fabae"},
{file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ae1d6df168efb88d7d522664693607b80b4080be6750c913eefb77e34c12c71a"},
{file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f9899c94762343f2cc2fc64c13e7cae4c3cc65cdfc87dd810a31654c9b7358cc"},
{file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:99457f184ad90235cfe8461c4d70ab7dd2680e28821c29eca00252ba90308c78"},
{file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18f469a3d2a2fdafe99296a87e8a4c37748b5080a26b806a707f25a902c040a8"},
{file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cdf28938ac6b8b49ae5e92f2735056a7ba99c9b110a474473fd71185c1af5d"},
{file = "pydantic_core-2.18.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:938cb21650855054dc54dfd9120a851c974f95450f00683399006aa6e8abb057"},
{file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:44cd83ab6a51da80fb5adbd9560e26018e2ac7826f9626bc06ca3dc074cd198b"},
{file = "pydantic_core-2.18.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:972658f4a72d02b8abfa2581d92d59f59897d2e9f7e708fdabe922f9087773af"},
{file = "pydantic_core-2.18.4-cp38-none-win32.whl", hash = "sha256:1d886dc848e60cb7666f771e406acae54ab279b9f1e4143babc9c2258213daa2"},
{file = "pydantic_core-2.18.4-cp38-none-win_amd64.whl", hash = "sha256:bb4462bd43c2460774914b8525f79b00f8f407c945d50881568f294c1d9b4443"},
{file = "pydantic_core-2.18.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:44a688331d4a4e2129140a8118479443bd6f1905231138971372fcde37e43528"},
{file = "pydantic_core-2.18.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a2fdd81edd64342c85ac7cf2753ccae0b79bf2dfa063785503cb85a7d3593223"},
{file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86110d7e1907ab36691f80b33eb2da87d780f4739ae773e5fc83fb272f88825f"},
{file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:46387e38bd641b3ee5ce247563b60c5ca098da9c56c75c157a05eaa0933ed154"},
{file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:123c3cec203e3f5ac7b000bd82235f1a3eced8665b63d18be751f115588fea30"},
{file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dc1803ac5c32ec324c5261c7209e8f8ce88e83254c4e1aebdc8b0a39f9ddb443"},
{file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53db086f9f6ab2b4061958d9c276d1dbe3690e8dd727d6abf2321d6cce37fa94"},
{file = "pydantic_core-2.18.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:abc267fa9837245cc28ea6929f19fa335f3dc330a35d2e45509b6566dc18be23"},
{file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0d829524aaefdebccb869eed855e2d04c21d2d7479b6cada7ace5448416597b"},
{file = "pydantic_core-2.18.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:509daade3b8649f80d4e5ff21aa5673e4ebe58590b25fe42fac5f0f52c6f034a"},
{file = "pydantic_core-2.18.4-cp39-none-win32.whl", hash = "sha256:ca26a1e73c48cfc54c4a76ff78df3727b9d9f4ccc8dbee4ae3f73306a591676d"},
{file = "pydantic_core-2.18.4-cp39-none-win_amd64.whl", hash = "sha256:c67598100338d5d985db1b3d21f3619ef392e185e71b8d52bceacc4a7771ea7e"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:574d92eac874f7f4db0ca653514d823a0d22e2354359d0759e3f6a406db5d55d"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1f4d26ceb5eb9eed4af91bebeae4b06c3fb28966ca3a8fb765208cf6b51102ab"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77450e6d20016ec41f43ca4a6c63e9fdde03f0ae3fe90e7c27bdbeaece8b1ed4"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d323a01da91851a4f17bf592faf46149c9169d68430b3146dcba2bb5e5719abc"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43d447dd2ae072a0065389092a231283f62d960030ecd27565672bd40746c507"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:578e24f761f3b425834f297b9935e1ce2e30f51400964ce4801002435a1b41ef"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
{file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
{file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
{file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pydantic-core"
version = "2.20.0"
@@ -1305,13 +1156,13 @@ files = [
[[package]]
name = "typing-extensions"
version = "4.11.0"
version = "4.12.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
{file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
{file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
]
[[package]]
@@ -1495,5 +1346,5 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "bd454bcd0b793b970d879a86f437e5b8beb4e6603c724d6590bbe3d8248b1f0a"
python-versions = ">=3.9,<4.0"
content-hash = "8f634bbfc6b06935c5a110440d7ce93a3e35854d00d6bc8e0b76172efc3b33ad"

5
libs/partners/voyageai/pyproject.toml
View File

@@ -12,9 +12,10 @@ license = "MIT"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-voyageai%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
python = ">=3.9,<4.0"
langchain-core = ">=0.1.52,<0.3"
voyageai = ">=0.2.1,<1"
pydantic = ">=2,<3"
[tool.poetry.group.test]
optional = true
@@ -54,7 +55,7 @@ optional = true
ruff = "^0.1.5"
[tool.poetry.group.typing.dependencies]
mypy = "^0.991"
mypy = "^1.10"
langchain-core = { path = "../../core", develop = true }
[tool.poetry.group.dev]

27
libs/partners/voyageai/scripts/check_pydantic.sh
View File

@@ -1,27 +0,0 @@
#!/bin/bash
#
# This script searches for lines starting with "import pydantic" or "from pydantic"
# in tracked files within a Git repository.
#
# Usage: ./scripts/check_pydantic.sh /path/to/repository
# Check if a path argument is provided
if [ $# -ne 1 ]; then
echo "Usage: $0 /path/to/repository"
exit 1
fi
repository_path="$1"
# Search for lines matching the pattern within the specified repository
result=$(git -C "$repository_path" grep -E '^import pydantic|^from pydantic')
# Check if any matching lines were found
if [ -n "$result" ]; then
echo "ERROR: The following lines need to be updated:"
echo "$result"
echo "Please replace the code with an import from langchain_core.pydantic_v1."
echo "For example, replace 'from pydantic import BaseModel'"
echo "with 'from langchain_core.pydantic_v1 import BaseModel'"
exit 1
fi

6
libs/partners/voyageai/tests/integration_tests/test_embeddings.py
View File

@@ -9,7 +9,7 @@ MODEL = "voyage-2"
def test_langchain_voyageai_embedding_documents() -> None:
"""Test voyage embeddings."""
documents = ["foo bar"]
embedding = VoyageAIEmbeddings(model=MODEL)
embedding = VoyageAIEmbeddings(model=MODEL) # type: ignore[call-arg]
output = embedding.embed_documents(documents)
assert len(output) == 1
assert len(output[0]) == 1024
@@ -29,7 +29,7 @@ def test_langchain_voyageai_embedding_documents_multiple() -> None:
def test_langchain_voyageai_embedding_query() -> None:
"""Test voyage embeddings."""
document = "foo bar"
embedding = VoyageAIEmbeddings(model=MODEL)
embedding = VoyageAIEmbeddings(model=MODEL) # type: ignore[call-arg]
output = embedding.embed_query(document)
assert len(output) == 1024
@@ -48,6 +48,6 @@ async def test_langchain_voyageai_async_embedding_documents_multiple() -> None:
async def test_langchain_voyageai_async_embedding_query() -> None:
"""Test voyage embeddings."""
document = "foo bar"
embedding = VoyageAIEmbeddings(model=MODEL)
embedding = VoyageAIEmbeddings(model=MODEL) # type: ignore[call-arg]
output = await embedding.aembed_query(document)
assert len(output) == 1024

6
libs/partners/voyageai/tests/integration_tests/test_rerank.py
View File

@@ -9,12 +9,12 @@ from langchain_voyageai.rerank import VoyageAIRerank
def test_voyageai_reranker_init() -> None:
"""Test the voyageai reranker initializes correctly."""
VoyageAIRerank(voyage_api_key="foo", model="foo")
VoyageAIRerank(voyage_api_key="foo", model="foo") # type: ignore[arg-type]
def test_sync() -> None:
rerank = VoyageAIRerank(
voyage_api_key=os.environ["VOYAGE_API_KEY"],
voyage_api_key=os.environ["VOYAGE_API_KEY"], # type: ignore[arg-type]
model="rerank-lite-1",
)
doc_list = [
@@ -42,7 +42,7 @@ def test_sync() -> None:
async def test_async() -> None:
rerank = VoyageAIRerank(
voyage_api_key=os.environ["VOYAGE_API_KEY"],
voyage_api_key=os.environ["VOYAGE_API_KEY"], # type: ignore[arg-type]
model="rerank-lite-1",
)
doc_list = [

10
libs/partners/voyageai/tests/unit_tests/test_embeddings.py
View File

@@ -9,7 +9,7 @@ MODEL = "voyage-2"
def test_initialization_voyage_2() -> None:
"""Test embedding model initialization."""
emb = VoyageAIEmbeddings(api_key="NOT_A_VALID_KEY", model=MODEL)
emb = VoyageAIEmbeddings(api_key="NOT_A_VALID_KEY", model=MODEL) # type: ignore
assert isinstance(emb, Embeddings)
assert emb.batch_size == 72
assert emb.model == MODEL
@@ -20,7 +20,7 @@ def test_initialization_voyage_2_with_full_api_key_name() -> None:
"""Test embedding model initialization."""
# Testing that we can initialize the model using `voyage_api_key`
# instead of `api_key`
emb = VoyageAIEmbeddings(voyage_api_key="NOT_A_VALID_KEY", model=MODEL)
emb = VoyageAIEmbeddings(voyage_api_key="NOT_A_VALID_KEY", model=MODEL) # type: ignore
assert isinstance(emb, Embeddings)
assert emb.batch_size == 72
assert emb.model == MODEL
@@ -29,7 +29,7 @@ def test_initialization_voyage_2_with_full_api_key_name() -> None:
def test_initialization_voyage_1() -> None:
"""Test embedding model initialization."""
emb = VoyageAIEmbeddings(api_key="NOT_A_VALID_KEY", model="voyage-01")
emb = VoyageAIEmbeddings(api_key="NOT_A_VALID_KEY", model="voyage-01") # type: ignore
assert isinstance(emb, Embeddings)
assert emb.batch_size == 7
assert emb.model == "voyage-01"
@@ -39,7 +39,9 @@ def test_initialization_voyage_1() -> None:
def test_initialization_voyage_1_batch_size() -> None:
"""Test embedding model initialization."""
emb = VoyageAIEmbeddings(
api_key="NOT_A_VALID_KEY", model="voyage-01", batch_size=15
api_key="NOT_A_VALID_KEY", # type: ignore
model="voyage-01",
batch_size=15,
)
assert isinstance(emb, Embeddings)
assert emb.batch_size == 15

6
libs/partners/voyageai/tests/unit_tests/test_rerank.py
View File

@@ -29,7 +29,7 @@ documents = [Document(page_content=x) for x in doc_list]
@pytest.mark.requires("voyageai")
def test_init() -> None:
VoyageAIRerank(
voyage_api_key="foo",
voyage_api_key="foo", # type: ignore[arg-type]
model="rerank-lite-1",
)
@@ -63,7 +63,7 @@ def test_rerank_unit_test(mocker: Any) -> None:
]
rerank = VoyageAIRerank(
voyage_api_key="foo",
voyage_api_key="foo", # type: ignore[arg-type]
model="rerank-lite-1",
)
result = rerank.compress_documents(
@@ -74,7 +74,7 @@ def test_rerank_unit_test(mocker: Any) -> None:
def test_rerank_empty_input() -> None:
rerank = VoyageAIRerank(
voyage_api_key="foo",
voyage_api_key="foo", # type: ignore[arg-type]
model="rerank-lite-1",
)
result = rerank.compress_documents(