mirror of
https://github.com/hwchase17/langchain
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f765e8fa9d
This PR moves the in memory implementation to langchain-core. * The implementation remains importable from langchain-community. * Supporting utilities are marked as private for now. |
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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')