mirror of
https://github.com/hwchase17/langchain
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6dd9f053e3
This PR deprecates the beta upsert APIs in vectorstore. We'll introduce them in a V2 abstraction instead to keep the existing vectorstore implementations lighter weight. The main problem with the existing APIs is that it's a bit more challenging to implement the correct behavior w/ respect to IDs since ID can be present in both the function signature and as an optional attribute on the document object. But VectorStores that pass the standard tests should have implemented the semantics properly! --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
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langchain_standard_tests | ||
scripts | ||
tests | ||
Makefile | ||
poetry.lock | ||
pyproject.toml | ||
README.md |
langchain-standard-tests
This is an INTERNAL library for the LangChain project. It contains the base classes for a standard set of tests.
Installation
This package will NOT be regularly published to pypi. It is intended to be installed directly from github at test time.
Pip:
```bash
pip install git+https://github.com/langchain-ai/langchain.git#subdirectory=libs/standard-tests
```
Poetry:
```bash
poetry add git+https://github.com/langchain-ai/langchain.git#subdirectory=libs/standard-tests
```
Usage
To add standard tests to an integration package's e.g. ChatModel, you need to create
- A unit test class that inherits from ChatModelUnitTests
- An integration test class that inherits from ChatModelIntegrationTests
tests/unit_tests/test_standard.py
:
"""Standard LangChain interface tests"""
from typing import Type
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_standard_tests.unit_tests import ChatModelUnitTests
from langchain_parrot_chain import ChatParrotChain
class TestParrotChainStandard(ChatModelUnitTests):
@pytest.fixture
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatParrotChain
tests/integration_tests/test_standard.py
:
"""Standard LangChain interface tests"""
from typing import Type
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
from langchain_parrot_chain import ChatParrotChain
class TestParrotChainStandard(ChatModelIntegrationTests):
@pytest.fixture
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatParrotChain
Reference
The following fixtures are configurable in the test classes. Anything not marked as required is optional.
chat_model_class
(required): The class of the chat model to be testedchat_model_params
: The keyword arguments to pass to the chat model constructorchat_model_has_tool_calling
: Whether the chat model can call tools. By default, this is set tohasattr(chat_model_class, 'bind_tools)
chat_model_has_structured_output
: Whether the chat model can structured output. By default, this is set tohasattr(chat_model_class, 'with_structured_output')