diff --git a/.github/scripts/check_diff.py b/.github/scripts/check_diff.py index f476455037a..110fafca4e4 100644 --- a/.github/scripts/check_diff.py +++ b/.github/scripts/check_diff.py @@ -37,7 +37,6 @@ IGNORED_PARTNERS = [ ] PY_312_MAX_PACKAGES = [ - "libs/partners/voyageai", "libs/partners/chroma", # https://github.com/chroma-core/chroma/issues/4382 ] diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index c2e750e40be..2a4f3aab48c 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -67,7 +67,6 @@ jobs: ES_CLOUD_ID: ${{ secrets.ES_CLOUD_ID }} ES_API_KEY: ${{ secrets.ES_API_KEY }} MONGODB_ATLAS_URI: ${{ secrets.MONGODB_ATLAS_URI }} - VOYAGE_API_KEY: ${{ secrets.VOYAGE_API_KEY }} COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }} UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }} XAI_API_KEY: ${{ secrets.XAI_API_KEY }} diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index 4e8457c7214..6f186379153 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -322,7 +322,6 @@ jobs: ES_CLOUD_ID: ${{ secrets.ES_CLOUD_ID }} ES_API_KEY: ${{ secrets.ES_API_KEY }} MONGODB_ATLAS_URI: ${{ secrets.MONGODB_ATLAS_URI }} - VOYAGE_API_KEY: ${{ secrets.VOYAGE_API_KEY }} UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }} FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }} XAI_API_KEY: ${{ secrets.XAI_API_KEY }} diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 77042b47634..d27865859ee 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -103,12 +103,6 @@ repos: entry: make -C libs/partners/qdrant format files: ^libs/partners/qdrant/ pass_filenames: false - - id: voyageai - name: format partners/voyageai - language: system - entry: make -C libs/partners/voyageai format - files: ^libs/partners/voyageai/ - pass_filenames: false - id: root name: format docs, cookbook language: system diff --git a/libs/packages.yml b/libs/packages.yml index 30cd92799f5..9d10ddf5b56 100644 --- a/libs/packages.yml +++ b/libs/packages.yml @@ -152,8 +152,8 @@ packages: downloads: 20558 downloads_updated_at: '2025-05-08T20:26:05.985970+00:00' - name: langchain-voyageai - path: libs/partners/voyageai - repo: langchain-ai/langchain + path: libs/voyageai + repo: voyage-ai/langchain-voyageai downloads: 27698 downloads_updated_at: '2025-05-08T20:26:05.985970+00:00' - name: langchain-aws diff --git a/libs/partners/voyageai/.gitignore b/libs/partners/voyageai/.gitignore deleted file mode 100644 index bee8a64b79a..00000000000 --- a/libs/partners/voyageai/.gitignore +++ /dev/null @@ -1 +0,0 @@ -__pycache__ diff --git a/libs/partners/voyageai/LICENSE b/libs/partners/voyageai/LICENSE deleted file mode 100644 index fc0602feecd..00000000000 --- a/libs/partners/voyageai/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2024 LangChain, Inc. - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/libs/partners/voyageai/Makefile b/libs/partners/voyageai/Makefile deleted file mode 100644 index c34c3e547e7..00000000000 --- a/libs/partners/voyageai/Makefile +++ /dev/null @@ -1,65 +0,0 @@ -.PHONY: all format lint test tests integration_tests docker_tests help extended_tests - -# Default target executed when no arguments are given to make. -all: help - -.EXPORT_ALL_VARIABLES: -UV_FROZEN = true - -# Define a variable for the test file path. -TEST_FILE ?= tests/unit_tests/ -integration_test integration_tests: TEST_FILE=tests/integration_tests/ - -test tests: - uv run --group test pytest --disable-socket --allow-unix-socket $(TEST_FILE) - -integration_test integration_tests: - uv run --group test --group test_integration pytest $(TEST_FILE) - -test_watch: - uv run --group test ptw --snapshot-update --now . -- -vv $(TEST_FILE) - - -###################### -# LINTING AND FORMATTING -###################### - -# Define a variable for Python and notebook files. -PYTHON_FILES=. -MYPY_CACHE=.mypy_cache -lint format: PYTHON_FILES=. -lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/voyageai --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') -lint_package: PYTHON_FILES=langchain_voyageai -lint_tests: PYTHON_FILES=tests -lint_tests: MYPY_CACHE=.mypy_cache_test - -lint lint_diff lint_package lint_tests: - [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff $(PYTHON_FILES) - [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff format $(PYTHON_FILES) --diff - [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && uv run --all-groups mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) - -format format_diff: - [ "$(PYTHON_FILES)" = "" ] || uv run --group lint ruff format $(PYTHON_FILES) - [ "$(PYTHON_FILES)" = "" ] || uv run --group lint ruff --select I --fix $(PYTHON_FILES) - -spell_check: - uv run --all-groups codespell --toml pyproject.toml - -spell_fix: - uv run --all-groups codespell --toml pyproject.toml -w - -check_imports: $(shell find langchain_voyageai -name '*.py') - uv run --all-groups python ./scripts/check_imports.py $^ - -###################### -# HELP -###################### - -help: - @echo '----' - @echo 'check_imports - check imports' - @echo 'format - run code formatters' - @echo 'lint - run linters' - @echo 'test - run unit tests' - @echo 'tests - run unit tests' - @echo 'test TEST_FILE= - run all tests in file' diff --git a/libs/partners/voyageai/README.md b/libs/partners/voyageai/README.md index 9ee50e983e7..6c18d3a6ea9 100644 --- a/libs/partners/voyageai/README.md +++ b/libs/partners/voyageai/README.md @@ -1,21 +1,3 @@ -# langchain-voyageai +This package has moved! -This package contains the LangChain integrations for VoyageAI through their `voyageai` client package. - -## Installation and Setup - -- Install the LangChain partner package -```bash -pip install langchain-voyageai -``` -- Get an VoyageAI api key and set it as an environment variable (`VOYAGE_API_KEY`) or use the API key as a parameter in the Client. - - - -## Text Embedding Model - -See a [usage example](https://python.langchain.com/docs/integrations/text_embedding/voyageai) - -```python -from langchain_voyageai import VoyageAIEmbeddings -``` +https://github.com/voyage-ai/langchain-voyageai diff --git a/libs/partners/voyageai/langchain_voyageai/__init__.py b/libs/partners/voyageai/langchain_voyageai/__init__.py deleted file mode 100644 index 38dae75181c..00000000000 --- a/libs/partners/voyageai/langchain_voyageai/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -from langchain_voyageai.embeddings import VoyageAIEmbeddings -from langchain_voyageai.rerank import VoyageAIRerank - -__all__ = ["VoyageAIEmbeddings", "VoyageAIRerank"] diff --git a/libs/partners/voyageai/langchain_voyageai/embeddings.py b/libs/partners/voyageai/langchain_voyageai/embeddings.py deleted file mode 100644 index 1accc645c1d..00000000000 --- a/libs/partners/voyageai/langchain_voyageai/embeddings.py +++ /dev/null @@ -1,156 +0,0 @@ -import logging -from collections.abc import Iterable -from typing import Any, Literal, Optional, cast - -import voyageai # type: ignore -from langchain_core.embeddings import Embeddings -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__) - -DEFAULT_VOYAGE_2_BATCH_SIZE = 72 -DEFAULT_VOYAGE_3_LITE_BATCH_SIZE = 30 -DEFAULT_VOYAGE_3_BATCH_SIZE = 10 -DEFAULT_BATCH_SIZE = 7 - - -class VoyageAIEmbeddings(BaseModel, Embeddings): - """VoyageAIEmbeddings embedding model. - - Example: - .. code-block:: python - - from langchain_voyageai import VoyageAIEmbeddings - - model = VoyageAIEmbeddings() - """ - - _client: voyageai.Client = PrivateAttr() - _aclient: voyageai.client_async.AsyncClient = PrivateAttr() - model: str - batch_size: int - - output_dimension: Optional[Literal[256, 512, 1024, 2048]] = None - show_progress_bar: bool = False - truncation: bool = True - voyage_api_key: SecretStr = Field( - alias="api_key", - default_factory=secret_from_env( - "VOYAGE_API_KEY", - error_message="Must set `VOYAGE_API_KEY` environment variable or " - "pass `api_key` to VoyageAIEmbeddings constructor.", - ), - ) - - model_config = ConfigDict( - extra="forbid", - populate_by_name=True, - ) - - @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") - if batch_size is None: - values["batch_size"] = ( - DEFAULT_VOYAGE_2_BATCH_SIZE - if model in ["voyage-2", "voyage-02"] - else ( - DEFAULT_VOYAGE_3_LITE_BATCH_SIZE - if model == "voyage-3-lite" - else ( - DEFAULT_VOYAGE_3_BATCH_SIZE - if model == "voyage-3" - else DEFAULT_BATCH_SIZE - ) - ) - ) - return values - - @model_validator(mode="after") - def validate_environment(self) -> Self: - """Validate that VoyageAI credentials exist in environment.""" - 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: - try: - from tqdm.auto import tqdm # type: ignore - except ImportError as e: - raise ImportError( - "Must have tqdm installed if `show_progress_bar` is set to True. " - "Please install with `pip install tqdm`." - ) from e - - _iter = tqdm(range(0, len(texts), self.batch_size)) - else: - _iter = range(0, len(texts), self.batch_size) # type: ignore - - return _iter - - def embed_documents(self, texts: list[str]) -> list[list[float]]: - """Embed search docs.""" - embeddings: list[list[float]] = [] - - _iter = self._get_batch_iterator(texts) - for i in _iter: - r = self._client.embed( - texts[i : i + self.batch_size], - model=self.model, - input_type="document", - truncation=self.truncation, - output_dimension=self.output_dimension, - ).embeddings - embeddings.extend(cast(Iterable[list[float]], r)) - return embeddings - - def embed_query(self, text: str) -> list[float]: - """Embed query text.""" - r = self._client.embed( - [text], - model=self.model, - input_type="query", - truncation=self.truncation, - output_dimension=self.output_dimension, - ).embeddings[0] - return cast(list[float], r) - - async def aembed_documents(self, texts: list[str]) -> list[list[float]]: - embeddings: list[list[float]] = [] - - _iter = self._get_batch_iterator(texts) - for i in _iter: - r = await self._aclient.embed( - texts[i : i + self.batch_size], - model=self.model, - input_type="document", - truncation=self.truncation, - output_dimension=self.output_dimension, - ) - embeddings.extend(cast(Iterable[list[float]], r.embeddings)) - - return embeddings - - async def aembed_query(self, text: str) -> list[float]: - r = await self._aclient.embed( - [text], - model=self.model, - input_type="query", - truncation=self.truncation, - output_dimension=self.output_dimension, - ) - return cast(list[float], r.embeddings[0]) diff --git a/libs/partners/voyageai/langchain_voyageai/py.typed b/libs/partners/voyageai/langchain_voyageai/py.typed deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/voyageai/langchain_voyageai/rerank.py b/libs/partners/voyageai/langchain_voyageai/rerank.py deleted file mode 100644 index 8a9e4f06973..00000000000 --- a/libs/partners/voyageai/langchain_voyageai/rerank.py +++ /dev/null @@ -1,156 +0,0 @@ -from __future__ import annotations - -import os -from collections.abc import Sequence -from copy import deepcopy -from typing import Any, Optional, 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.utils import convert_to_secret_str -from pydantic import ConfigDict, SecretStr, model_validator -from voyageai.object import RerankingObject # type: ignore - - -class VoyageAIRerank(BaseDocumentCompressor): - """Document compressor that uses `VoyageAI Rerank API`.""" - - client: voyageai.Client = None # type: ignore - aclient: voyageai.AsyncClient = None # type: ignore - """VoyageAI clients to use for compressing documents.""" - voyage_api_key: Optional[SecretStr] = None - """VoyageAI API key. Must be specified directly or via environment variable - VOYAGE_API_KEY.""" - model: str - """Model to use for reranking.""" - top_k: Optional[int] = None - """Number of documents to return.""" - truncation: bool = True - - model_config = ConfigDict( - arbitrary_types_allowed=True, - ) - - @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 - ) - if voyage_api_key: - api_key_secretstr = convert_to_secret_str(voyage_api_key) - values["voyage_api_key"] = api_key_secretstr - - api_key_str = api_key_secretstr.get_secret_value() - else: - api_key_str = None - - values["client"] = voyageai.Client(api_key=api_key_str) - values["aclient"] = voyageai.AsyncClient(api_key=api_key_str) - - return values - - def _rerank( - self, - documents: Sequence[Union[str, Document]], - query: str, - ) -> RerankingObject: - """Returns an ordered list of documents ordered by their relevance - to the provided query. - - Args: - query: The query to use for reranking. - documents: A sequence of documents to rerank. - """ - docs = [ - doc.page_content if isinstance(doc, Document) else doc for doc in documents - ] - return self.client.rerank( - query=query, - documents=docs, - model=self.model, - top_k=self.top_k, - truncation=self.truncation, - ) - - async def _arerank( - self, - documents: Sequence[Union[str, Document]], - query: str, - ) -> RerankingObject: - """Returns an ordered list of documents ordered by their relevance - to the provided query. - - Args: - query: The query to use for reranking. - documents: A sequence of documents to rerank. - """ - docs = [ - doc.page_content if isinstance(doc, Document) else doc for doc in documents - ] - return await self.aclient.rerank( - query=query, - documents=docs, - model=self.model, - top_k=self.top_k, - truncation=self.truncation, - ) - - def compress_documents( - self, - documents: Sequence[Document], - query: str, - callbacks: Optional[Callbacks] = None, - ) -> Sequence[Document]: - """ - Compress documents using VoyageAI's rerank API. - - Args: - documents: A sequence of documents to compress. - query: The query to use for compressing the documents. - callbacks: Callbacks to run during the compression process. - - Returns: - A sequence of compressed documents in relevance_score order. - """ - if len(documents) == 0: - return [] - - compressed = [] - for res in self._rerank(documents, query).results: - doc = documents[res.index] - doc_copy = Document(doc.page_content, metadata=deepcopy(doc.metadata)) - doc_copy.metadata["relevance_score"] = res.relevance_score - compressed.append(doc_copy) - return compressed - - async def acompress_documents( - self, - documents: Sequence[Document], - query: str, - callbacks: Optional[Callbacks] = None, - ) -> Sequence[Document]: - """ - Compress documents using VoyageAI's rerank API. - - Args: - documents: A sequence of documents to compress. - query: The query to use for compressing the documents. - callbacks: Callbacks to run during the compression process. - - Returns: - A sequence of compressed documents in relevance_score order. - """ - if len(documents) == 0: - return [] - - compressed = [] - for res in (await self._arerank(documents, query)).results: - doc = documents[res.index] - doc_copy = Document(doc.page_content, metadata=deepcopy(doc.metadata)) - doc_copy.metadata["relevance_score"] = res.relevance_score - compressed.append(doc_copy) - return compressed diff --git a/libs/partners/voyageai/pyproject.toml b/libs/partners/voyageai/pyproject.toml deleted file mode 100644 index 76ffed4207f..00000000000 --- a/libs/partners/voyageai/pyproject.toml +++ /dev/null @@ -1,66 +0,0 @@ -[build-system] -requires = ["pdm-backend"] -build-backend = "pdm.backend" - -[tool.pdm.build] -includes = [] - -[project] -authors = [] -license = { text = "MIT" } -requires-python = "<3.13,>=3.9" -dependencies = [ - "langchain-core<1.0.0,>=0.3.29", - "voyageai<1,>=0.3.2", - "pydantic<3,>=2", -] -name = "langchain-voyageai" -version = "0.1.4" -description = "An integration package connecting VoyageAI and LangChain" -readme = "README.md" - -[project.urls] -"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/partners/voyageai" -"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-voyageai%3D%3D0%22&expanded=true" -repository = "https://github.com/langchain-ai/langchain" - -[dependency-groups] -test = [ - "pytest<8.0.0,>=7.3.0", - "freezegun<2.0.0,>=1.2.2", - "pytest-mock<4.0.0,>=3.10.0", - "syrupy<5.0.0,>=4.0.2", - "pytest-watcher<1.0.0,>=0.3.4", - "pytest-asyncio<1.0.0,>=0.21.1", - "pytest-socket<1.0.0,>=0.7.0", - "langchain-core", -] -codespell = ["codespell<3.0.0,>=2.2.0"] -test_integration = [] -lint = ["ruff<1.0.0,>=0.1.5"] -dev = ["langchain-core"] -typing = ["mypy<2.0,>=1.10", "langchain-core"] - -[tool.uv.sources] -langchain-core = { path = "../../core", editable = true } - -[tool.mypy] -disallow_untyped_defs = "True" - -[tool.ruff] -target-version = "py39" - -[tool.ruff.lint] -select = ["E", "F", "I", "UP"] -ignore = [ "UP007", ] - -[tool.coverage.run] -omit = ["tests/*"] - -[tool.pytest.ini_options] -addopts = "--strict-markers --strict-config --durations=5" -markers = [ - "requires: mark tests as requiring a specific library", - "compile: mark placeholder test used to compile integration tests without running them", -] -asyncio_mode = "auto" diff --git a/libs/partners/voyageai/scripts/check_imports.py b/libs/partners/voyageai/scripts/check_imports.py deleted file mode 100644 index ba8de50118c..00000000000 --- a/libs/partners/voyageai/scripts/check_imports.py +++ /dev/null @@ -1,17 +0,0 @@ -import sys -import traceback -from importlib.machinery import SourceFileLoader - -if __name__ == "__main__": - files = sys.argv[1:] - has_failure = False - for file in files: - try: - SourceFileLoader("x", file).load_module() - except Exception: - has_failure = True - print(file) - traceback.print_exc() - print() - - sys.exit(1 if has_failure else 0) diff --git a/libs/partners/voyageai/scripts/lint_imports.sh b/libs/partners/voyageai/scripts/lint_imports.sh deleted file mode 100755 index 695613c7ba8..00000000000 --- a/libs/partners/voyageai/scripts/lint_imports.sh +++ /dev/null @@ -1,17 +0,0 @@ -#!/bin/bash - -set -eu - -# Initialize a variable to keep track of errors -errors=0 - -# make sure not importing from langchain or langchain_experimental -git --no-pager grep '^from langchain\.' . && errors=$((errors+1)) -git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1)) - -# Decide on an exit status based on the errors -if [ "$errors" -gt 0 ]; then - exit 1 -else - exit 0 -fi diff --git a/libs/partners/voyageai/tests/__init__.py b/libs/partners/voyageai/tests/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/voyageai/tests/integration_tests/__init__.py b/libs/partners/voyageai/tests/integration_tests/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/voyageai/tests/integration_tests/test_compile.py b/libs/partners/voyageai/tests/integration_tests/test_compile.py deleted file mode 100644 index 33ecccdfa0f..00000000000 --- a/libs/partners/voyageai/tests/integration_tests/test_compile.py +++ /dev/null @@ -1,7 +0,0 @@ -import pytest - - -@pytest.mark.compile -def test_placeholder() -> None: - """Used for compiling integration tests without running any real tests.""" - pass diff --git a/libs/partners/voyageai/tests/integration_tests/test_embeddings.py b/libs/partners/voyageai/tests/integration_tests/test_embeddings.py deleted file mode 100644 index 91ecc62a457..00000000000 --- a/libs/partners/voyageai/tests/integration_tests/test_embeddings.py +++ /dev/null @@ -1,62 +0,0 @@ -"""Test VoyageAI embeddings.""" - -from langchain_voyageai import VoyageAIEmbeddings - -# Please set VOYAGE_API_KEY in the environment variables -MODEL = "voyage-2" - - -def test_langchain_voyageai_embedding_documents() -> None: - """Test voyage embeddings.""" - documents = ["foo bar"] - embedding = VoyageAIEmbeddings(model=MODEL) # type: ignore[call-arg] - output = embedding.embed_documents(documents) - assert len(output) == 1 - assert len(output[0]) == 1024 - - -def test_langchain_voyageai_embedding_documents_multiple() -> None: - """Test voyage embeddings.""" - documents = ["foo bar", "bar foo", "foo"] - embedding = VoyageAIEmbeddings(model=MODEL, batch_size=2) - output = embedding.embed_documents(documents) - assert len(output) == 3 - assert len(output[0]) == 1024 - assert len(output[1]) == 1024 - assert len(output[2]) == 1024 - - -def test_langchain_voyageai_embedding_query() -> None: - """Test voyage embeddings.""" - document = "foo bar" - embedding = VoyageAIEmbeddings(model=MODEL) # type: ignore[call-arg] - output = embedding.embed_query(document) - assert len(output) == 1024 - - -async def test_langchain_voyageai_async_embedding_documents_multiple() -> None: - """Test voyage embeddings.""" - documents = ["foo bar", "bar foo", "foo"] - embedding = VoyageAIEmbeddings(model=MODEL, batch_size=2) - output = await embedding.aembed_documents(documents) - assert len(output) == 3 - assert len(output[0]) == 1024 - assert len(output[1]) == 1024 - assert len(output[2]) == 1024 - - -async def test_langchain_voyageai_async_embedding_query() -> None: - """Test voyage embeddings.""" - document = "foo bar" - embedding = VoyageAIEmbeddings(model=MODEL) # type: ignore[call-arg] - output = await embedding.aembed_query(document) - assert len(output) == 1024 - - -def test_langchain_voyageai_embedding_documents_with_output_dimension() -> None: - """Test voyage embeddings.""" - documents = ["foo bar"] - embedding = VoyageAIEmbeddings(model="voyage-3-large", output_dimension=256) # type: ignore[call-arg] - output = embedding.embed_documents(documents) - assert len(output) == 1 - assert len(output[0]) == 256 diff --git a/libs/partners/voyageai/tests/integration_tests/test_rerank.py b/libs/partners/voyageai/tests/integration_tests/test_rerank.py deleted file mode 100644 index 3e18ca0366e..00000000000 --- a/libs/partners/voyageai/tests/integration_tests/test_rerank.py +++ /dev/null @@ -1,68 +0,0 @@ -"""Test the voyageai reranker.""" - -import os - -from langchain_core.documents import Document - -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") # type: ignore[arg-type] - - -def test_sync() -> None: - rerank = VoyageAIRerank( - voyage_api_key=os.environ["VOYAGE_API_KEY"], # type: ignore[arg-type] - model="rerank-lite-1", - ) - doc_list = [ - "The Mediterranean diet emphasizes fish, olive oil, and vegetables" - ", believed to reduce chronic diseases.", - "Photosynthesis in plants converts light energy into glucose and " - "produces essential oxygen.", - "20th-century innovations, from radios to smartphones, centered " - "on electronic advancements.", - "Rivers provide water, irrigation, and habitat for aquatic species, " - "vital for ecosystems.", - "Apple’s conference call to discuss fourth fiscal quarter results and " - "business updates is scheduled for Thursday, November 2, 2023 at 2:00 " - "p.m. PT / 5:00 p.m. ET.", - "Shakespeare's works, like 'Hamlet' and 'A Midsummer Night's Dream,' " - "endure in literature.", - ] - documents = [Document(page_content=x) for x in doc_list] - - result = rerank.compress_documents( - query="When is the Apple's conference call scheduled?", documents=documents - ) - assert len(doc_list) == len(result) - - -async def test_async() -> None: - rerank = VoyageAIRerank( - voyage_api_key=os.environ["VOYAGE_API_KEY"], # type: ignore[arg-type] - model="rerank-lite-1", - ) - doc_list = [ - "The Mediterranean diet emphasizes fish, olive oil, and vegetables" - ", believed to reduce chronic diseases.", - "Photosynthesis in plants converts light energy into glucose and " - "produces essential oxygen.", - "20th-century innovations, from radios to smartphones, centered " - "on electronic advancements.", - "Rivers provide water, irrigation, and habitat for aquatic species, " - "vital for ecosystems.", - "Apple’s conference call to discuss fourth fiscal quarter results and " - "business updates is scheduled for Thursday, November 2, 2023 at 2:00 " - "p.m. PT / 5:00 p.m. ET.", - "Shakespeare's works, like 'Hamlet' and 'A Midsummer Night's Dream,' " - "endure in literature.", - ] - documents = [Document(page_content=x) for x in doc_list] - - result = await rerank.acompress_documents( - query="When is the Apple's conference call scheduled?", documents=documents - ) - assert len(doc_list) == len(result) diff --git a/libs/partners/voyageai/tests/unit_tests/__init__.py b/libs/partners/voyageai/tests/unit_tests/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/voyageai/tests/unit_tests/test_embeddings.py b/libs/partners/voyageai/tests/unit_tests/test_embeddings.py deleted file mode 100644 index 587376ab8b4..00000000000 --- a/libs/partners/voyageai/tests/unit_tests/test_embeddings.py +++ /dev/null @@ -1,61 +0,0 @@ -"""Test embedding model integration.""" - -from langchain_core.embeddings import Embeddings - -from langchain_voyageai import VoyageAIEmbeddings - -MODEL = "voyage-2" - - -def test_initialization_voyage_2() -> None: - """Test embedding model initialization.""" - 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 - assert emb._client is not None - - -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) # type: ignore - assert isinstance(emb, Embeddings) - assert emb.batch_size == 72 - assert emb.model == MODEL - assert emb._client is not None - - -def test_initialization_voyage_1() -> None: - """Test embedding model initialization.""" - 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" - assert emb._client is not None - - -def test_initialization_voyage_1_batch_size() -> None: - """Test embedding model initialization.""" - emb = VoyageAIEmbeddings( - api_key="NOT_A_VALID_KEY", # type: ignore - model="voyage-01", - batch_size=15, - ) - assert isinstance(emb, Embeddings) - assert emb.batch_size == 15 - assert emb.model == "voyage-01" - assert emb._client is not None - - -def test_initialization_with_output_dimension() -> None: - emb = VoyageAIEmbeddings( - api_key="NOT_A_VALID_KEY", # type: ignore - model="voyage-3-large", - output_dimension=256, - batch_size=10, - ) - assert isinstance(emb, Embeddings) - assert emb.model == "voyage-3-large" - assert emb.output_dimension == 256 diff --git a/libs/partners/voyageai/tests/unit_tests/test_imports.py b/libs/partners/voyageai/tests/unit_tests/test_imports.py deleted file mode 100644 index 9b8977126ad..00000000000 --- a/libs/partners/voyageai/tests/unit_tests/test_imports.py +++ /dev/null @@ -1,10 +0,0 @@ -from langchain_voyageai import __all__ - -EXPECTED_ALL = [ - "VoyageAIEmbeddings", - "VoyageAIRerank", -] - - -def test_all_imports() -> None: - assert sorted(EXPECTED_ALL) == sorted(__all__) diff --git a/libs/partners/voyageai/tests/unit_tests/test_rerank.py b/libs/partners/voyageai/tests/unit_tests/test_rerank.py deleted file mode 100644 index b12687dab85..00000000000 --- a/libs/partners/voyageai/tests/unit_tests/test_rerank.py +++ /dev/null @@ -1,83 +0,0 @@ -from collections import namedtuple -from typing import Any - -import pytest # type: ignore -from langchain_core.documents import Document -from voyageai.api_resources import VoyageResponse # type: ignore -from voyageai.object import RerankingObject # type: ignore - -from langchain_voyageai.rerank import VoyageAIRerank - -doc_list = [ - "The Mediterranean diet emphasizes fish, olive oil, and vegetables" - ", believed to reduce chronic diseases.", - "Photosynthesis in plants converts light energy into glucose and " - "produces essential oxygen.", - "20th-century innovations, from radios to smartphones, centered " - "on electronic advancements.", - "Rivers provide water, irrigation, and habitat for aquatic species, " - "vital for ecosystems.", - "Apple’s conference call to discuss fourth fiscal quarter results and " - "business updates is scheduled for Thursday, November 2, 2023 at 2:00 " - "p.m. PT / 5:00 p.m. ET.", - "Shakespeare's works, like 'Hamlet' and 'A Midsummer Night's Dream,' " - "endure in literature.", -] -documents = [Document(page_content=x) for x in doc_list] - - -@pytest.mark.requires("voyageai") -def test_init() -> None: - VoyageAIRerank( - voyage_api_key="foo", # type: ignore[arg-type] - model="rerank-lite-1", - ) - - -def get_mock_rerank_result() -> RerankingObject: - VoyageResultItem = namedtuple("VoyageResultItem", ["index", "relevance_score"]) - Usage = namedtuple("Usage", ["total_tokens"]) - voyage_response = VoyageResponse() - voyage_response.data = [ - VoyageResultItem(index=1, relevance_score=0.9), - VoyageResultItem(index=0, relevance_score=0.8), - ] - voyage_response.usage = Usage(total_tokens=255) - return RerankingObject(response=voyage_response, documents=doc_list) - - -@pytest.mark.requires("voyageai") -def test_rerank_unit_test(mocker: Any) -> None: - mocker.patch("voyageai.Client.rerank").return_value = get_mock_rerank_result() - expected_result = [ - Document( - page_content="Photosynthesis in plants converts light energy into " - "glucose and produces essential oxygen.", - metadata={"relevance_score": 0.9}, - ), - Document( - page_content="The Mediterranean diet emphasizes fish, olive oil, and " - "vegetables, believed to reduce chronic diseases.", - metadata={"relevance_score": 0.8}, - ), - ] - - rerank = VoyageAIRerank( - voyage_api_key="foo", # type: ignore[arg-type] - model="rerank-lite-1", - ) - result = rerank.compress_documents( - documents=documents, query="When is the Apple's conference call scheduled?" - ) - assert expected_result == result - - -def test_rerank_empty_input() -> None: - rerank = VoyageAIRerank( - voyage_api_key="foo", # type: ignore[arg-type] - model="rerank-lite-1", - ) - result = rerank.compress_documents( - documents=[], query="When is the Apple's conference call scheduled?" - ) - assert len(result) == 0 diff --git a/libs/partners/voyageai/uv.lock b/libs/partners/voyageai/uv.lock deleted file mode 100644 index 39e4d1b316e..00000000000 --- a/libs/partners/voyageai/uv.lock +++ /dev/null @@ -1,1625 +0,0 @@ -version = 1 -revision = 1 -requires-python = ">=3.9, <3.13" -resolution-markers = [ - 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