standard-tests: a standard unit and integration test set (#20182)

just chat models for now

.github/scripts/check_diff.py

@@ -47,6 +47,13 @@ if __name__ == "__main__":
                     found = True
                 if found:
                     dirs_to_run["extended-test"].add(dir_)
+        elif file.startswith("libs/standard-tests"):
+            # TODO: update to include all packages that rely on standard-tests (all partner packages)
+            # note: won't run on external repo partners
+            dirs_to_run["lint"].add("libs/standard-tests")
+            dirs_to_run["test"].add("libs/partners/mistralai")
+            dirs_to_run["test"].add("libs/partners/openai")
+
         elif file.startswith("libs/cli"):
             # todo: add cli makefile
             pass

libs/partners/mistralai/poetry.lock

@@ -190,18 +190,18 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.13.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
-    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+    {file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"},
+    {file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
@@ -252,13 +252,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
-    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -269,7 +269,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -308,13 +308,13 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.21.4"
+version = "0.22.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
-    {file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
+    {file = "huggingface_hub-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"},
+    {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"},
 ]
 
 [package.dependencies]
@@ -327,15 +327,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -388,7 +389,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.1.33"
+version = "0.1.40"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -396,13 +397,11 @@ files = []
 develop = true
 
 [package.dependencies]
-anyio = ">=3,<5"
 jsonpatch = "^1.33"
 langsmith = "^0.1.0"
 packaging = "^23.2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
-requests = "^2"
 tenacity = "^8.1.0"
 
 [package.extras]
@@ -412,15 +411,32 @@ extended-testing = ["jinja2 (>=3,<4)"]
 type = "directory"
 url = "../../core"
 
+[[package]]
+name = "langchain-standard-tests"
+version = "0.1.0"
+description = "Standard tests for LangChain implementations"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = []
+develop = true
+
+[package.dependencies]
+langchain-core = "^0.1.40"
+pytest = ">=7,<9"
+
+[package.source]
+type = "directory"
+url = "../../standard-tests"
+
 [[package]]
 name = "langsmith"
-version = "0.1.31"
+version = "0.1.42"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.31-py3-none-any.whl", hash = "sha256:5211a9dc00831db307eb843485a97096484b697b5d2cd1efaac34228e97ca087"},
-    {file = "langsmith-0.1.31.tar.gz", hash = "sha256:efd54ccd44be7fda911bfdc0ead340473df2fdd07345c7252901834d0c4aa37e"},
+    {file = "langsmith-0.1.42-py3-none-any.whl", hash = "sha256:1101c3b5cbd9e8d65471f32fbb99736403f1bc30954fdd233b2991a40c65aa03"},
+    {file = "langsmith-0.1.42.tar.gz", hash = "sha256:e41236fd043c83a39329913ec607ae31cd46dad78a09c4924eab4a29e954da17"},
 ]
 
 [package.dependencies]
@@ -491,61 +507,62 @@ files = [
 
 [[package]]
 name = "orjson"
-version = "3.9.15"
+version = "3.10.0"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
 ]
 
 [[package]]
@@ -1016,13 +1033,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
-    {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
+    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]
@@ -1045,4 +1062,4 @@ zstd = ["zstandard (>=0.18.0)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "706b13139d3f36b3fffb311155ec5bba970f24a692146f7deed08cb8cfe5c962"
+content-hash = "ac55f72f4c9ea194d47a9c2d3ccbd38cb784765c04de5ca4afb5d98d494f31e7"

libs/partners/mistralai/pyproject.toml

@@ -24,6 +24,7 @@ optional = true
 pytest = "^7.3.0"
 pytest-asyncio = "^0.21.1"
 langchain-core = { path = "../../core", develop = true }
+langchain-standard-tests = { path = "../../standard-tests", develop = true }
 
 [tool.poetry.group.test_integration]
 optional = true

libs/partners/mistralai/tests/integration_tests/test_standard.py

@@ -0,0 +1,15 @@
+"""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_mistralai import ChatMistralAI
+
+
+class TestMistralStandard(ChatModelIntegrationTests):
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return ChatMistralAI

libs/partners/mistralai/tests/unit_tests/test_standard.py

@@ -0,0 +1,15 @@
+"""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_mistralai import ChatMistralAI
+
+
+class TestMistralStandard(ChatModelUnitTests):
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return ChatMistralAI

libs/partners/openai/poetry.lock

@@ -385,7 +385,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.1.33"
+version = "0.1.40"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -393,13 +393,11 @@ files = []
 develop = true
 
 [package.dependencies]
-anyio = ">=3,<5"
 jsonpatch = "^1.33"
 langsmith = "^0.1.0"
 packaging = "^23.2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
-requests = "^2"
 tenacity = "^8.1.0"
 
 [package.extras]
@@ -409,6 +407,23 @@ extended-testing = ["jinja2 (>=3,<4)"]
 type = "directory"
 url = "../../core"
 
+[[package]]
+name = "langchain-standard-tests"
+version = "0.1.0"
+description = "Standard tests for LangChain implementations"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = []
+develop = true
+
+[package.dependencies]
+langchain-core = "^0.1.40"
+pytest = ">=7,<9"
+
+[package.source]
+type = "directory"
+url = "../../standard-tests"
+
 [[package]]
 name = "langsmith"
 version = "0.1.31"
@@ -1270,4 +1285,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "93b724f0c34c84f376c9607afc14059fc603f6c0c1b5fa4c153c5fce9cb10e63"
+content-hash = "3588ffb625bbb851db7cf0aad4d1dec35fcfc75c327529221513d83e74d89115"

libs/partners/openai/pyproject.toml

@@ -28,6 +28,7 @@ pytest-watcher = "^0.3.4"
 pytest-asyncio = "^0.21.1"
 langchain-core = { path = "../../core", develop = true }
 pytest-cov = "^4.1.0"
+langchain-standard-tests = {path = "../../standard-tests", develop = true}
 
 [tool.poetry.group.codespell]
 optional = true

libs/partners/openai/tests/integration_tests/chat_models/test_azure_standard.py

@@ -0,0 +1,33 @@
+"""Standard LangChain interface tests"""
+
+import os
+from typing import Type
+
+import pytest
+from langchain_core.language_models import BaseChatModel
+from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
+
+from langchain_openai import AzureChatOpenAI
+
+OPENAI_API_VERSION = os.environ.get("AZURE_OPENAI_API_VERSION", "")
+OPENAI_API_BASE = os.environ.get("AZURE_OPENAI_API_BASE", "")
+OPENAI_API_KEY = os.environ.get("AZURE_OPENAI_API_KEY", "")
+DEPLOYMENT_NAME = os.environ.get(
+    "AZURE_OPENAI_DEPLOYMENT_NAME",
+    os.environ.get("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", ""),
+)
+
+
+class TestOpenAIStandard(ChatModelIntegrationTests):
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return AzureChatOpenAI
+
+    @pytest.fixture
+    def chat_model_params(self) -> dict:
+        return {
+            "deployment_name": DEPLOYMENT_NAME,
+            "openai_api_version": OPENAI_API_VERSION,
+            "azure_endpoint": OPENAI_API_BASE,
+            "openai_api_key": OPENAI_API_KEY,
+        }

libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py

@@ -0,0 +1,15 @@
+"""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_openai import ChatOpenAI
+
+
+class TestOpenAIStandard(ChatModelIntegrationTests):
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return ChatOpenAI

libs/partners/openai/tests/unit_tests/chat_models/test_azure_standard.py

@@ -0,0 +1,24 @@
+"""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_openai import AzureChatOpenAI
+
+
+class TestOpenAIStandard(ChatModelUnitTests):
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return AzureChatOpenAI
+
+    @pytest.fixture
+    def chat_model_params(self) -> dict:
+        return {
+            "deployment_name": "test",
+            "openai_api_version": "2021-10-01",
+            "azure_endpoint": "https://test.azure.com",
+            "openai_api_key": "test",
+        }

libs/partners/openai/tests/unit_tests/chat_models/test_base_standard.py

@@ -0,0 +1,15 @@
+"""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_openai import ChatOpenAI
+
+
+class TestOpenAIStandard(ChatModelUnitTests):
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        return ChatOpenAI

libs/standard-tests/Makefile

@@ -0,0 +1,62 @@
+.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
+
+# Define a variable for the test file path.
+TEST_FILE ?= tests/unit_tests/
+INTEGRATION_TEST_FILE ?= tests/integration_tests/
+
+integration_test integration_tests: TEST_FILE=$(INTEGRATION_TEST_FILE)
+
+test tests:
+	poetry run pytest $(TEST_FILE)
+
+integration_test integration_tests:
+	poetry run pytest $(TEST_FILE)
+
+
+######################
+# LINTING AND FORMATTING
+######################
+
+# Define a variable for Python and notebook files.
+PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
+lint format: PYTHON_FILES=.
+lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/standard-tests --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
+lint_package: PYTHON_FILES=langchain_standard_tests
+lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
+
+lint lint_diff lint_package lint_tests:
+	poetry run ruff .
+	poetry run ruff format $(PYTHON_FILES) --diff
+	poetry run ruff --select I $(PYTHON_FILES)
+	mkdir $(MYPY_CACHE); poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
+format format_diff:
+	poetry run ruff format $(PYTHON_FILES)
+	poetry run ruff --select I --fix $(PYTHON_FILES)
+
+spell_check:
+	poetry run codespell --toml pyproject.toml
+
+spell_fix:
+	poetry run codespell --toml pyproject.toml -w
+
+check_imports: $(shell find langchain_standard_tests -name '*.py')
+	poetry run 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=<test_file>   - run all tests in file'

libs/standard-tests/README.md

@@ -0,0 +1,78 @@
+# 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
+
+1. A unit test class that inherits from ChatModelUnitTests
+2. An integration test class that inherits from ChatModelIntegrationTests
+
+`tests/unit_tests/test_standard.py`:
+    
+```python
+"""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`:
+    
+```python
+"""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 tested
+- `chat_model_params`: The keyword arguments to pass to the chat model constructor
+- `chat_model_has_tool_calling`: Whether the chat model can call tools. By default, this is set to `hasattr(chat_model_class, 'bind_tools)`
+- `chat_model_has_structured_output`: Whether the chat model can structured output. By default, this is set to `hasattr(chat_model_class, 'with_structured_output')`

libs/standard-tests/langchain_standard_tests/integration_tests/__init__.py

@@ -0,0 +1,7 @@
+from langchain_standard_tests.integration_tests.chat_models import (
+    ChatModelIntegrationTests,
+)
+
+__all__ = [
+    "ChatModelIntegrationTests",
+]

libs/standard-tests/langchain_standard_tests/integration_tests/chat_models.py

@@ -0,0 +1,114 @@
+from abc import ABC, abstractmethod
+from typing import Type
+
+import pytest
+from langchain_core.language_models import BaseChatModel
+from langchain_core.messages import AIMessage, AIMessageChunk
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain_core.tools import tool
+
+
+class Person(BaseModel):
+    name: str = Field(..., description="The name of the person.")
+    age: int = Field(..., description="The age of the person.")
+
+
+@tool
+def my_adder_tool(a: int, b: int) -> int:
+    """Takes two integers, a and b, and returns their sum."""
+    return a + b
+
+
+class ChatModelIntegrationTests(ABC):
+    @abstractmethod
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        ...
+
+    @pytest.fixture
+    def chat_model_params(self) -> dict:
+        return {}
+
+    @pytest.fixture
+    def chat_model_has_tool_calling(
+        self, chat_model_class: Type[BaseChatModel]
+    ) -> bool:
+        return hasattr(chat_model_class, "bind_tools")
+
+    @pytest.fixture
+    def chat_model_has_structured_output(
+        self, chat_model_class: Type[BaseChatModel]
+    ) -> bool:
+        return hasattr(chat_model_class, "with_structured_output")
+
+    def test_invoke(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        result = model.invoke("Hello")
+        assert result is not None
+        assert isinstance(result, AIMessage)
+        assert isinstance(result.content, str)
+        assert len(result.content) > 0
+
+    async def test_ainvoke(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        result = await model.ainvoke("Hello")
+        assert result is not None
+        assert isinstance(result, AIMessage)
+        assert isinstance(result.content, str)
+        assert len(result.content) > 0
+
+    def test_stream(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        num_tokens = 0
+        for token in model.stream("Hello"):
+            assert token is not None
+            assert isinstance(token, AIMessageChunk)
+            assert isinstance(token.content, str)
+            num_tokens += len(token.content)
+        assert num_tokens > 0
+
+    async def test_astream(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        num_tokens = 0
+        async for token in model.astream("Hello"):
+            assert token is not None
+            assert isinstance(token, AIMessageChunk)
+            assert isinstance(token.content, str)
+            num_tokens += len(token.content)
+        assert num_tokens > 0
+
+    def test_batch(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        batch_results = model.batch(["Hello", "Hey"])
+        assert batch_results is not None
+        assert isinstance(batch_results, list)
+        assert len(batch_results) == 2
+        for result in batch_results:
+            assert result is not None
+            assert isinstance(result, AIMessage)
+            assert isinstance(result.content, str)
+            assert len(result.content) > 0
+
+    async def test_abatch(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        batch_results = await model.abatch(["Hello", "Hey"])
+        assert batch_results is not None
+        assert isinstance(batch_results, list)
+        assert len(batch_results) == 2
+        for result in batch_results:
+            assert result is not None
+            assert isinstance(result, AIMessage)
+            assert isinstance(result.content, str)
+            assert len(result.content) > 0

libs/standard-tests/langchain_standard_tests/unit_tests/__init__.py

@@ -0,0 +1,3 @@
+from langchain_standard_tests.unit_tests.chat_models import ChatModelUnitTests
+
+__all__ = ["ChatModelUnitTests"]

libs/standard-tests/langchain_standard_tests/unit_tests/chat_models.py

@@ -0,0 +1,87 @@
+from abc import ABC, abstractmethod
+from typing import Type
+
+import pytest
+from langchain_core.language_models import BaseChatModel
+from langchain_core.pydantic_v1 import BaseModel, Field
+from langchain_core.tools import tool
+
+
+class Person(BaseModel):
+    name: str = Field(..., description="The name of the person.")
+    age: int = Field(..., description="The age of the person.")
+
+
+@tool
+def my_adder_tool(a: int, b: int) -> int:
+    """Takes two integers, a and b, and returns their sum."""
+    return a + b
+
+
+class ChatModelUnitTests(ABC):
+    @abstractmethod
+    @pytest.fixture
+    def chat_model_class(self) -> Type[BaseChatModel]:
+        ...
+
+    @pytest.fixture
+    def chat_model_params(self) -> dict:
+        return {}
+
+    @pytest.fixture
+    def chat_model_has_tool_calling(
+        self, chat_model_class: Type[BaseChatModel]
+    ) -> bool:
+        return hasattr(chat_model_class, "bind_tools")
+
+    @pytest.fixture
+    def chat_model_has_structured_output(
+        self, chat_model_class: Type[BaseChatModel]
+    ) -> bool:
+        return hasattr(chat_model_class, "with_structured_output")
+
+    def test_chat_model_init(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(**chat_model_params)
+        assert model is not None
+
+    def test_chat_model_init_api_key(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(api_key="test", **chat_model_params)  # type: ignore
+        assert model is not None
+
+    def test_chat_model_init_streaming(
+        self, chat_model_class: Type[BaseChatModel], chat_model_params: dict
+    ) -> None:
+        model = chat_model_class(streaming=True, **chat_model_params)  # type: ignore
+        assert model is not None
+
+    def test_chat_model_bind_tool_pydantic(
+        self,
+        chat_model_class: Type[BaseChatModel],
+        chat_model_params: dict,
+        chat_model_has_tool_calling: bool,
+    ) -> None:
+        if not chat_model_has_tool_calling:
+            return
+
+        model = chat_model_class(**chat_model_params)
+
+        assert hasattr(model, "bind_tools")
+        tool_model = model.bind_tools([Person])
+        assert tool_model is not None
+
+    def test_chat_model_with_structured_output(
+        self,
+        chat_model_class: Type[BaseChatModel],
+        chat_model_params: dict,
+        chat_model_has_structured_output: bool,
+    ) -> None:
+        if not chat_model_has_structured_output:
+            return
+
+        model = chat_model_class(**chat_model_params)
+        assert model is not None
+        assert model.with_structured_output(Person) is not None

libs/standard-tests/poetry.lock

@@ -0,0 +1,698 @@
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+
+[[package]]
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+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
+[[package]]
+name = "certifi"
+version = "2024.2.2"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
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+]
+
+[[package]]
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+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[metadata]
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+python-versions = ">=3.8.1,<4.0"
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libs/standard-tests/pyproject.toml

@@ -0,0 +1,61 @@
+[tool.poetry]
+name = "langchain-standard-tests"
+version = "0.1.0"
+description = "Standard tests for LangChain implementations"
+authors = ["Erick Friis <erick@langchain.dev>"]
+readme = "README.md"
+repository = "https://github.com/langchain-ai/langchain"
+license = "MIT"
+
+[tool.poetry.urls]
+"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/standard-tests"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<4.0"
+langchain-core = "^0.1.40"
+pytest = ">=7,<9"
+
+[tool.poetry.group.test]
+optional = true
+
+[tool.poetry.group.test.dependencies]
+langchain-core = { path = "../core", develop = true }
+
+[tool.poetry.group.test_integration]
+optional = true
+
+[tool.poetry.group.test_integration.dependencies]
+
+[tool.poetry.group.codespell]
+optional = true
+
+[tool.poetry.group.codespell.dependencies]
+codespell = "^2.2.0"
+
+[tool.poetry.group.lint]
+optional = true
+
+[tool.poetry.group.lint.dependencies]
+ruff = "^0.1.5"
+
+[tool.poetry.group.typing.dependencies]
+mypy = "^0.991"
+langchain-core = { path = "../core", develop = true }
+
+[tool.ruff.lint]
+select = [
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
+    "T201", # print
+]
+
+[tool.mypy]
+disallow_untyped_defs = "True"
+
+[tool.coverage.run]
+omit = ["tests/*"]
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

libs/standard-tests/scripts/check_imports.py

@@ -0,0 +1,22 @@
+import random
+import string
+import sys
+import traceback
+from importlib.machinery import SourceFileLoader
+
+if __name__ == "__main__":
+    files = sys.argv[1:]
+    has_failure = False
+    for file in files:
+        try:
+            module_name = "".join(
+                random.choice(string.ascii_letters) for _ in range(20)
+            )
+            SourceFileLoader(module_name, file).load_module()
+        except Exception:
+            has_failure = True
+            print(file)  # noqa: T201
+            traceback.print_exc()
+            print()  # noqa: T201
+
+    sys.exit(1 if has_failure else 0)

libs/standard-tests/scripts/check_pydantic.sh

@@ -0,0 +1,31 @@
+#!/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 "$repository_path" grep -E '^[[:space:]]*import pydantic|^[[:space:]]*from pydantic' \
+  -- ':!langchain_core/pydantic_*' ':!langchain_core/utils' | grep -v 'pydantic: ignore'
+)
+
+# Check if any matching lines were found
+if [ -n "$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'"
+  echo "If this was intentional, you can add #  pydantic: ignore after the import to ignore this error."
+  exit 1
+fi

libs/standard-tests/scripts/lint_imports.sh

@@ -0,0 +1,17 @@
+#!/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