From 916332ef5ba65620dffc74c585b95449045b4a8a Mon Sep 17 00:00:00 2001 From: Mateusz Szewczyk <139469471+MateuszOssGit@users.noreply.github.com> Date: Wed, 14 Feb 2024 21:12:19 +0100 Subject: [PATCH] ibm: added partners package `langchain_ibm`, added llm (#16512) - **Description:** Added `langchain_ibm` as an langchain partners package of IBM [watsonx.ai](https://www.ibm.com/products/watsonx-ai) LLM provider (`WatsonxLLM`) - **Dependencies:** [ibm-watsonx-ai](https://pypi.org/project/ibm-watsonx-ai/), - **Tag maintainer:** : --------- Co-authored-by: Erick Friis --- .github/workflows/_integration_test.yml | 2 + .github/workflows/_release.yml | 2 + docs/docs/integrations/llms/ibm_watsonx.ipynb | 2 +- .../langchain_community/llms/watsonxllm.py | 7 +- libs/partners/ibm/.gitignore | 1 + libs/partners/ibm/LICENSE | 21 + libs/partners/ibm/Makefile | 58 + libs/partners/ibm/README.md | 18 + libs/partners/ibm/langchain_ibm/__init__.py | 3 + libs/partners/ibm/langchain_ibm/llms.py | 387 ++++++ libs/partners/ibm/langchain_ibm/py.typed | 0 libs/partners/ibm/poetry.lock | 1095 +++++++++++++++++ libs/partners/ibm/pyproject.toml | 96 ++ libs/partners/ibm/scripts/check_imports.py | 17 + libs/partners/ibm/scripts/check_pydantic.sh | 27 + libs/partners/ibm/scripts/lint_imports.sh | 17 + libs/partners/ibm/tests/__init__.py | 0 .../ibm/tests/integration_tests/__init__.py | 0 .../tests/integration_tests/test_compile.py | 7 + .../ibm/tests/integration_tests/test_llms.py | 83 ++ .../partners/ibm/tests/unit_tests/__init__.py | 0 .../ibm/tests/unit_tests/test_imports.py | 7 + .../ibm/tests/unit_tests/test_llms.py | 60 + 23 files changed, 1906 insertions(+), 4 deletions(-) create mode 100644 libs/partners/ibm/.gitignore create mode 100644 libs/partners/ibm/LICENSE create mode 100644 libs/partners/ibm/Makefile create mode 100644 libs/partners/ibm/README.md create mode 100644 libs/partners/ibm/langchain_ibm/__init__.py create mode 100644 libs/partners/ibm/langchain_ibm/llms.py create mode 100644 libs/partners/ibm/langchain_ibm/py.typed create mode 100644 libs/partners/ibm/poetry.lock create mode 100644 libs/partners/ibm/pyproject.toml create mode 100644 libs/partners/ibm/scripts/check_imports.py create mode 100755 libs/partners/ibm/scripts/check_pydantic.sh create mode 100755 libs/partners/ibm/scripts/lint_imports.sh create mode 100644 libs/partners/ibm/tests/__init__.py create mode 100644 libs/partners/ibm/tests/integration_tests/__init__.py create mode 100644 libs/partners/ibm/tests/integration_tests/test_compile.py create mode 100644 libs/partners/ibm/tests/integration_tests/test_llms.py create mode 100644 libs/partners/ibm/tests/unit_tests/__init__.py create mode 100644 libs/partners/ibm/tests/unit_tests/test_imports.py create mode 100644 libs/partners/ibm/tests/unit_tests/test_llms.py diff --git a/.github/workflows/_integration_test.yml b/.github/workflows/_integration_test.yml index 7e4afe70e2bfa..18a1e5eb89f18 100644 --- a/.github/workflows/_integration_test.yml +++ b/.github/workflows/_integration_test.yml @@ -62,6 +62,8 @@ jobs: GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }} EXA_API_KEY: ${{ secrets.EXA_API_KEY }} NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }} + WATSONX_APIKEY: ${{ secrets.WATSONX_APIKEY }} + WATSONX_PROJECT_ID: ${{ secrets.WATSONX_PROJECT_ID }} PINECONE_API_KEY: ${{ secrets.PINECONE_API_KEY }} PINECONE_ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }} run: | diff --git a/.github/workflows/_release.yml b/.github/workflows/_release.yml index bd2bf153d770c..0b18925680194 100644 --- a/.github/workflows/_release.yml +++ b/.github/workflows/_release.yml @@ -182,6 +182,8 @@ jobs: GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }} EXA_API_KEY: ${{ secrets.EXA_API_KEY }} NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }} + WATSONX_APIKEY: ${{ secrets.WATSONX_APIKEY }} + WATSONX_PROJECT_ID: ${{ secrets.WATSONX_PROJECT_ID }} PINECONE_API_KEY: ${{ secrets.PINECONE_API_KEY }} PINECONE_ENVIRONMENT: ${{ secrets.PINECONE_ENVIRONMENT }} run: make integration_tests diff --git a/docs/docs/integrations/llms/ibm_watsonx.ipynb b/docs/docs/integrations/llms/ibm_watsonx.ipynb index 32ecdc34fc3e0..eafeb095d83ec 100644 --- a/docs/docs/integrations/llms/ibm_watsonx.ipynb +++ b/docs/docs/integrations/llms/ibm_watsonx.ipynb @@ -109,7 +109,7 @@ "metadata": {}, "outputs": [], "source": [ - "from langchain_community.llms import WatsonxLLM\n", + "from langchain_ibm import WatsonxLLM\n", "\n", "watsonx_llm = WatsonxLLM(\n", " model_id=\"google/flan-ul2\",\n", diff --git a/libs/community/langchain_community/llms/watsonxllm.py b/libs/community/langchain_community/llms/watsonxllm.py index c35e991db3682..191574e094b06 100644 --- a/libs/community/langchain_community/llms/watsonxllm.py +++ b/libs/community/langchain_community/llms/watsonxllm.py @@ -2,6 +2,7 @@ import os from typing import Any, Dict, Iterator, List, Mapping, Optional, Union +from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.llms import BaseLLM from langchain_core.outputs import Generation, GenerationChunk, LLMResult @@ -11,6 +12,9 @@ logger = logging.getLogger(__name__) +@deprecated( + since="0.0.18", removal="0.2", alternative_import="langchain_ibm.WatsonxLLM" +) class WatsonxLLM(BaseLLM): """ IBM watsonx.ai large language models. @@ -293,9 +297,6 @@ def _stream_response_to_generation_chunk( generation_info=dict( finish_reason=stream_response["results"][0].get("stop_reason", None), llm_output={ - "generated_token_count": stream_response["results"][0].get( - "generated_token_count", None - ), "model_id": self.model_id, "deployment_id": self.deployment_id, }, diff --git a/libs/partners/ibm/.gitignore b/libs/partners/ibm/.gitignore new file mode 100644 index 0000000000000..bee8a64b79a99 --- /dev/null +++ b/libs/partners/ibm/.gitignore @@ -0,0 +1 @@ +__pycache__ diff --git a/libs/partners/ibm/LICENSE b/libs/partners/ibm/LICENSE new file mode 100644 index 0000000000000..426b65090341f --- /dev/null +++ b/libs/partners/ibm/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 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/ibm/Makefile b/libs/partners/ibm/Makefile new file mode 100644 index 0000000000000..65add43791c75 --- /dev/null +++ b/libs/partners/ibm/Makefile @@ -0,0 +1,58 @@ +.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 integration_tests: TEST_FILE=tests/integration_tests/ + +test tests 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/partners/ibm --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') +lint_package: PYTHON_FILES=langchain_ibm +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_ibm -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= - run all tests in file' diff --git a/libs/partners/ibm/README.md b/libs/partners/ibm/README.md new file mode 100644 index 0000000000000..7c89035922543 --- /dev/null +++ b/libs/partners/ibm/README.md @@ -0,0 +1,18 @@ +# langchain-ibm + +This package contains the LangChain integrations for IBM watsonx.ai through their `ibm-watsonx-ai` SDK. + +## Installation and Setup + +- Install the LangChain partner package +```bash +pip install langchain-ibm +``` + +## LLM + +See a [usage example](https://python.langchain.com/docs/integrations/llms/watsonxllm). + +```python +from langchain_ibm import WatsonxLLM +``` diff --git a/libs/partners/ibm/langchain_ibm/__init__.py b/libs/partners/ibm/langchain_ibm/__init__.py new file mode 100644 index 0000000000000..97a1ed0ce1364 --- /dev/null +++ b/libs/partners/ibm/langchain_ibm/__init__.py @@ -0,0 +1,3 @@ +from langchain_ibm.llms import WatsonxLLM + +__all__ = ["WatsonxLLM"] diff --git a/libs/partners/ibm/langchain_ibm/llms.py b/libs/partners/ibm/langchain_ibm/llms.py new file mode 100644 index 0000000000000..18f2ae3f4c1de --- /dev/null +++ b/libs/partners/ibm/langchain_ibm/llms.py @@ -0,0 +1,387 @@ +import logging +import os +from typing import Any, Dict, Iterator, List, Mapping, Optional, Union + +from ibm_watsonx_ai.foundation_models import ModelInference # type: ignore +from langchain_core.callbacks import CallbackManagerForLLMRun +from langchain_core.language_models.llms import BaseLLM +from langchain_core.outputs import Generation, GenerationChunk, LLMResult +from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator +from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env + +logger = logging.getLogger(__name__) + + +class WatsonxLLM(BaseLLM): + """ + IBM watsonx.ai large language models. + + To use, you should have ``ibm_watsonx_ai`` python package installed, + and the environment variable ``WATSONX_APIKEY`` set with your API key, or pass + it as a named parameter to the constructor. + + + Example: + .. code-block:: python + + from ibm_watsonx_ai.metanames import GenTextParamsMetaNames + parameters = { + GenTextParamsMetaNames.DECODING_METHOD: "sample", + GenTextParamsMetaNames.MAX_NEW_TOKENS: 100, + GenTextParamsMetaNames.MIN_NEW_TOKENS: 1, + GenTextParamsMetaNames.TEMPERATURE: 0.5, + GenTextParamsMetaNames.TOP_K: 50, + GenTextParamsMetaNames.TOP_P: 1, + } + + from langchain_ibm import WatsonxLLM + watsonx_llm = WatsonxLLM( + model_id="google/flan-ul2", + url="https://us-south.ml.cloud.ibm.com", + apikey="*****", + project_id="*****", + params=parameters, + ) + """ + + model_id: str = "" + """Type of model to use.""" + + deployment_id: str = "" + """Type of deployed model to use.""" + + project_id: str = "" + """ID of the Watson Studio project.""" + + space_id: str = "" + """ID of the Watson Studio space.""" + + url: Optional[SecretStr] = None + """Url to Watson Machine Learning instance""" + + apikey: Optional[SecretStr] = None + """Apikey to Watson Machine Learning instance""" + + token: Optional[SecretStr] = None + """Token to Watson Machine Learning instance""" + + password: Optional[SecretStr] = None + """Password to Watson Machine Learning instance""" + + username: Optional[SecretStr] = None + """Username to Watson Machine Learning instance""" + + instance_id: Optional[SecretStr] = None + """Instance_id of Watson Machine Learning instance""" + + version: Optional[SecretStr] = None + """Version of Watson Machine Learning instance""" + + params: Optional[dict] = None + """Model parameters to use during generate requests.""" + + verify: Union[str, bool] = "" + """User can pass as verify one of following: + the path to a CA_BUNDLE file + the path of directory with certificates of trusted CAs + True - default path to truststore will be taken + False - no verification will be made""" + + streaming: bool = False + """ Whether to stream the results or not. """ + + watsonx_model: Any + + class Config: + """Configuration for this pydantic object.""" + + extra = Extra.forbid + + @classmethod + def is_lc_serializable(cls) -> bool: + return False + + @property + def lc_secrets(self) -> Dict[str, str]: + return { + "url": "WATSONX_URL", + "apikey": "WATSONX_APIKEY", + "token": "WATSONX_TOKEN", + "password": "WATSONX_PASSWORD", + "username": "WATSONX_USERNAME", + "instance_id": "WATSONX_INSTANCE_ID", + } + + @root_validator() + def validate_environment(cls, values: Dict) -> Dict: + """Validate that credentials and python package exists in environment.""" + values["url"] = convert_to_secret_str( + get_from_dict_or_env(values, "url", "WATSONX_URL") + ) + if "cloud.ibm.com" in values.get("url", "").get_secret_value(): + values["apikey"] = convert_to_secret_str( + get_from_dict_or_env(values, "apikey", "WATSONX_APIKEY") + ) + else: + if ( + not values["token"] + and "WATSONX_TOKEN" not in os.environ + and not values["password"] + and "WATSONX_PASSWORD" not in os.environ + and not values["apikey"] + and "WATSONX_APIKEY" not in os.environ + ): + raise ValueError( + "Did not find 'token', 'password' or 'apikey'," + " please add an environment variable" + " `WATSONX_TOKEN`, 'WATSONX_PASSWORD' or 'WATSONX_APIKEY' " + "which contains it," + " or pass 'token', 'password' or 'apikey'" + " as a named parameter." + ) + elif values["token"] or "WATSONX_TOKEN" in os.environ: + values["token"] = convert_to_secret_str( + get_from_dict_or_env(values, "token", "WATSONX_TOKEN") + ) + elif values["password"] or "WATSONX_PASSWORD" in os.environ: + values["password"] = convert_to_secret_str( + get_from_dict_or_env(values, "password", "WATSONX_PASSWORD") + ) + values["username"] = convert_to_secret_str( + get_from_dict_or_env(values, "username", "WATSONX_USERNAME") + ) + elif values["apikey"] or "WATSONX_APIKEY" in os.environ: + values["apikey"] = convert_to_secret_str( + get_from_dict_or_env(values, "apikey", "WATSONX_APIKEY") + ) + values["username"] = convert_to_secret_str( + get_from_dict_or_env(values, "username", "WATSONX_USERNAME") + ) + if not values["instance_id"] or "WATSONX_INSTANCE_ID" not in os.environ: + values["instance_id"] = convert_to_secret_str( + get_from_dict_or_env(values, "instance_id", "WATSONX_INSTANCE_ID") + ) + + credentials = { + "url": values["url"].get_secret_value() if values["url"] else None, + "apikey": values["apikey"].get_secret_value() if values["apikey"] else None, + "token": values["token"].get_secret_value() if values["token"] else None, + "password": values["password"].get_secret_value() + if values["password"] + else None, + "username": values["username"].get_secret_value() + if values["username"] + else None, + "instance_id": values["instance_id"].get_secret_value() + if values["instance_id"] + else None, + "version": values["version"].get_secret_value() + if values["version"] + else None, + } + credentials_without_none_value = { + key: value for key, value in credentials.items() if value is not None + } + + watsonx_model = ModelInference( + model_id=values["model_id"], + deployment_id=values["deployment_id"], + credentials=credentials_without_none_value, + params=values["params"], + project_id=values["project_id"], + space_id=values["space_id"], + verify=values["verify"], + ) + values["watsonx_model"] = watsonx_model + + return values + + @property + def _identifying_params(self) -> Mapping[str, Any]: + """Get the identifying parameters.""" + return { + "model_id": self.model_id, + "deployment_id": self.deployment_id, + "params": self.params, + "project_id": self.project_id, + "space_id": self.space_id, + } + + @property + def _llm_type(self) -> str: + """Return type of llm.""" + return "IBM watsonx.ai" + + @staticmethod + def _extract_token_usage( + response: Optional[List[Dict[str, Any]]] = None, + ) -> Dict[str, Any]: + if response is None: + return {"generated_token_count": 0, "input_token_count": 0} + + input_token_count = 0 + generated_token_count = 0 + + def get_count_value(key: str, result: Dict[str, Any]) -> int: + return result.get(key, 0) or 0 + + for res in response: + results = res.get("results") + if results: + input_token_count += get_count_value("input_token_count", results[0]) + generated_token_count += get_count_value( + "generated_token_count", results[0] + ) + + return { + "generated_token_count": generated_token_count, + "input_token_count": input_token_count, + } + + def _get_chat_params( + self, stop: Optional[List[str]] = None + ) -> Optional[Dict[str, Any]]: + params: Optional[Dict[str, Any]] = {**self.params} if self.params else None + if stop is not None: + params = (params or {}) | {"stop_sequences": stop} + return params + + def _create_llm_result(self, response: List[dict]) -> LLMResult: + """Create the LLMResult from the choices and prompts.""" + generations = [] + for res in response: + results = res.get("results") + if results: + finish_reason = results[0].get("stop_reason") + gen = Generation( + text=results[0].get("generated_text"), + generation_info={"finish_reason": finish_reason}, + ) + generations.append([gen]) + final_token_usage = self._extract_token_usage(response) + llm_output = { + "token_usage": final_token_usage, + "model_id": self.model_id, + "deployment_id": self.deployment_id, + } + return LLMResult(generations=generations, llm_output=llm_output) + + def _stream_response_to_generation_chunk( + self, + stream_response: Dict[str, Any], + ) -> GenerationChunk: + """Convert a stream response to a generation chunk.""" + if not stream_response["results"]: + return GenerationChunk(text="") + return GenerationChunk( + text=stream_response["results"][0]["generated_text"], + generation_info=dict( + finish_reason=stream_response["results"][0].get("stop_reason", None), + llm_output={ + "model_id": self.model_id, + "deployment_id": self.deployment_id, + }, + ), + ) + + def _call( + self, + prompt: str, + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> str: + """Call the IBM watsonx.ai inference endpoint. + Args: + prompt: The prompt to pass into the model. + stop: Optional list of stop words to use when generating. + run_manager: Optional callback manager. + Returns: + The string generated by the model. + Example: + .. code-block:: python + + response = watsonx_llm("What is a molecule") + """ + result = self._generate( + prompts=[prompt], stop=stop, run_manager=run_manager, **kwargs + ) + return result.generations[0][0].text + + def _generate( + self, + prompts: List[str], + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + stream: Optional[bool] = None, + **kwargs: Any, + ) -> LLMResult: + """Call the IBM watsonx.ai inference endpoint which then generate the response. + Args: + prompts: List of strings (prompts) to pass into the model. + stop: Optional list of stop words to use when generating. + run_manager: Optional callback manager. + Returns: + The full LLMResult output. + Example: + .. code-block:: python + + response = watsonx_llm.generate(["What is a molecule"]) + """ + params = self._get_chat_params(stop=stop) + should_stream = stream if stream is not None else self.streaming + if should_stream: + if len(prompts) > 1: + raise ValueError( + f"WatsonxLLM currently only supports single prompt, got {prompts}" + ) + generation = GenerationChunk(text="") + stream_iter = self._stream( + prompts[0], stop=stop, run_manager=run_manager, **kwargs + ) + for chunk in stream_iter: + if generation is None: + generation = chunk + else: + generation += chunk + assert generation is not None + if isinstance(generation.generation_info, dict): + llm_output = generation.generation_info.pop("llm_output") + return LLMResult(generations=[[generation]], llm_output=llm_output) + return LLMResult(generations=[[generation]]) + else: + response = self.watsonx_model.generate(prompt=prompts, params=params) + return self._create_llm_result(response) + + def _stream( + self, + prompt: str, + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> Iterator[GenerationChunk]: + """Call the IBM watsonx.ai inference endpoint which then streams the response. + Args: + prompt: The prompt to pass into the model. + stop: Optional list of stop words to use when generating. + run_manager: Optional callback manager. + Returns: + The iterator which yields generation chunks. + Example: + .. code-block:: python + + response = watsonx_llm.stream("What is a molecule") + for chunk in response: + print(chunk, end='') + """ + params = self._get_chat_params(stop=stop) + for stream_resp in self.watsonx_model.generate_text_stream( + prompt=prompt, raw_response=True, params=params + ): + if not isinstance(stream_resp, dict): + stream_resp = stream_resp.dict() + chunk = self._stream_response_to_generation_chunk(stream_resp) + yield chunk + + if run_manager: + run_manager.on_llm_new_token(chunk.text, chunk=chunk) diff --git a/libs/partners/ibm/langchain_ibm/py.typed b/libs/partners/ibm/langchain_ibm/py.typed new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/libs/partners/ibm/poetry.lock b/libs/partners/ibm/poetry.lock new file mode 100644 index 0000000000000..4968e523caad4 --- /dev/null +++ b/libs/partners/ibm/poetry.lock @@ -0,0 +1,1095 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + +[[package]] +name = "annotated-types" +version = "0.6.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"}, + {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, +] + +[[package]] +name = "anyio" +version = "4.2.0" 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"jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.10,<4.0" +content-hash = "1ea206277880af7ba191e1fe7f60e3a51274623c1697af1a689ed8ce35c0feb6" diff --git a/libs/partners/ibm/pyproject.toml b/libs/partners/ibm/pyproject.toml new file mode 100644 index 0000000000000..adcab41ef7fb3 --- /dev/null +++ b/libs/partners/ibm/pyproject.toml @@ -0,0 +1,96 @@ +[tool.poetry] +name = "langchain-ibm" +version = "0.0.1" +description = "An integration package connecting IBM watsonx.ai and LangChain" +authors = ["IBM"] +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/partners/ibm" + +[tool.poetry.dependencies] +python = ">=3.10,<4.0" +langchain-core = ">=0.1.22,<0.2" +ibm-watsonx-ai = "^0.1.4" + +[tool.poetry.group.test] +optional = true + +[tool.poetry.group.test.dependencies] +pytest = "^7.3.0" +freezegun = "^1.2.2" +pytest-mock = "^3.10.0" +syrupy = "^4.0.2" +pytest-watcher = "^0.3.4" +pytest-asyncio = "^0.21.1" +langchain-core = {path = "../../core", develop = true} + +[tool.poetry.group.codespell] +optional = true + +[tool.poetry.group.codespell.dependencies] +codespell = "^2.2.0" + +[tool.poetry.group.test_integration] +optional = true + +[tool.poetry.group.test_integration.dependencies] + +[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} +types-requests = "^2" + +[tool.poetry.group.dev] +optional = true + +[tool.poetry.group.dev.dependencies] +langchain-core = {path = "../../core", develop = true} + +[tool.ruff] +select = [ + "E", # pycodestyle + "F", # pyflakes + "I", # isort +] + +[tool.mypy] +disallow_untyped_defs = "True" + +[tool.coverage.run] +omit = [ + "tests/*", +] + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +# --strict-markers will raise errors on unknown marks. +# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks +# +# https://docs.pytest.org/en/7.1.x/reference/reference.html +# --strict-config any warnings encountered while parsing the `pytest` +# section of the configuration file raise errors. +# +# https://github.com/tophat/syrupy +# --snapshot-warn-unused Prints a warning on unused snapshots rather than fail the test suite. +addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5" +# Registering custom markers. +# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers +markers = [ + "requires: mark tests as requiring a specific library", + "asyncio: mark tests as requiring asyncio", + "compile: mark placeholder test used to compile integration tests without running them", + "scheduled: mark tests to run in scheduled testing", +] +asyncio_mode = "auto" diff --git a/libs/partners/ibm/scripts/check_imports.py b/libs/partners/ibm/scripts/check_imports.py new file mode 100644 index 0000000000000..fd21a4975b7f0 --- /dev/null +++ b/libs/partners/ibm/scripts/check_imports.py @@ -0,0 +1,17 @@ +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_faillure = True + print(file) + traceback.print_exc() + print() + + sys.exit(1 if has_failure else 0) diff --git a/libs/partners/ibm/scripts/check_pydantic.sh b/libs/partners/ibm/scripts/check_pydantic.sh new file mode 100755 index 0000000000000..06b5bb81ae236 --- /dev/null +++ b/libs/partners/ibm/scripts/check_pydantic.sh @@ -0,0 +1,27 @@ +#!/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 "$result" + echo "Please replace the code with an import from langchain_core.pydantic_v1." + echo "For example, replace 'from pydantic import BaseModel'" + echo "with 'from langchain_core.pydantic_v1 import BaseModel'" + exit 1 +fi diff --git a/libs/partners/ibm/scripts/lint_imports.sh b/libs/partners/ibm/scripts/lint_imports.sh new file mode 100755 index 0000000000000..695613c7ba8fd --- /dev/null +++ b/libs/partners/ibm/scripts/lint_imports.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +set -eu + +# Initialize a variable to keep track of errors +errors=0 + +# make sure not importing from langchain or langchain_experimental +git --no-pager grep '^from langchain\.' . && errors=$((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 diff --git a/libs/partners/ibm/tests/__init__.py b/libs/partners/ibm/tests/__init__.py new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/libs/partners/ibm/tests/integration_tests/__init__.py b/libs/partners/ibm/tests/integration_tests/__init__.py new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/libs/partners/ibm/tests/integration_tests/test_compile.py b/libs/partners/ibm/tests/integration_tests/test_compile.py new file mode 100644 index 0000000000000..33ecccdfa0fbd --- /dev/null +++ b/libs/partners/ibm/tests/integration_tests/test_compile.py @@ -0,0 +1,7 @@ +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/ibm/tests/integration_tests/test_llms.py b/libs/partners/ibm/tests/integration_tests/test_llms.py new file mode 100644 index 0000000000000..cc93ee5277e40 --- /dev/null +++ b/libs/partners/ibm/tests/integration_tests/test_llms.py @@ -0,0 +1,83 @@ +"""Test WatsonxLLM API wrapper. + +You'll need to set WATSONX_APIKEY and WATSONX_PROJECT_ID environment variables. +""" + +import os + +from langchain_core.outputs import LLMResult + +from langchain_ibm import WatsonxLLM + +PROJECT_ID = os.environ.get("WATSONX_PROJECT_ID", "") + + +def test_watsonxllm_invoke() -> None: + watsonxllm = WatsonxLLM( + model_id="google/flan-ul2", + url="https://us-south.ml.cloud.ibm.com", + project_id=PROJECT_ID, + ) + response = watsonxllm.invoke("What color sunflower is?") + assert isinstance(response, str) + assert len(response) > 0 + + +def test_watsonxllm_generate() -> None: + watsonxllm = WatsonxLLM( + model_id="google/flan-ul2", + url="https://us-south.ml.cloud.ibm.com", + project_id=PROJECT_ID, + ) + response = watsonxllm.generate(["What color sunflower is?"]) + response_text = response.generations[0][0].text + assert isinstance(response, LLMResult) + assert len(response_text) > 0 + + +def test_watsonxllm_generate_with_multiple_prompts() -> None: + watsonxllm = WatsonxLLM( + model_id="google/flan-ul2", + url="https://us-south.ml.cloud.ibm.com", + project_id=PROJECT_ID, + ) + response = watsonxllm.generate( + ["What color sunflower is?", "What color turtle is?"] + ) + response_text = response.generations[0][0].text + assert isinstance(response, LLMResult) + assert len(response_text) > 0 + + +def test_watsonxllm_generate_stream() -> None: + watsonxllm = WatsonxLLM( + model_id="google/flan-ul2", + url="https://us-south.ml.cloud.ibm.com", + project_id=PROJECT_ID, + ) + response = watsonxllm.generate(["What color sunflower is?"], stream=True) + response_text = response.generations[0][0].text + assert isinstance(response, LLMResult) + assert len(response_text) > 0 + + +def test_watsonxllm_stream() -> None: + watsonxllm = WatsonxLLM( + model_id="google/flan-ul2", + url="https://us-south.ml.cloud.ibm.com", + project_id=PROJECT_ID, + ) + response = watsonxllm.invoke("What color sunflower is?") + + stream_response = watsonxllm.stream("What color sunflower is?") + + linked_text_stream = "" + for chunk in stream_response: + assert isinstance( + chunk, str + ), f"chunk expect type '{str}', actual '{type(chunk)}'" + linked_text_stream += chunk + + assert ( + response == linked_text_stream + ), "Linked text stream are not the same as generated text" diff --git a/libs/partners/ibm/tests/unit_tests/__init__.py b/libs/partners/ibm/tests/unit_tests/__init__.py new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/libs/partners/ibm/tests/unit_tests/test_imports.py b/libs/partners/ibm/tests/unit_tests/test_imports.py new file mode 100644 index 0000000000000..e623ff7558364 --- /dev/null +++ b/libs/partners/ibm/tests/unit_tests/test_imports.py @@ -0,0 +1,7 @@ +from langchain_ibm import __all__ + +EXPECTED_ALL = ["WatsonxLLM"] + + +def test_all_imports() -> None: + assert sorted(EXPECTED_ALL) == sorted(__all__) diff --git a/libs/partners/ibm/tests/unit_tests/test_llms.py b/libs/partners/ibm/tests/unit_tests/test_llms.py new file mode 100644 index 0000000000000..01d86590af10b --- /dev/null +++ b/libs/partners/ibm/tests/unit_tests/test_llms.py @@ -0,0 +1,60 @@ +"""Test WatsonxLLM API wrapper.""" + +import os + +from langchain_ibm import WatsonxLLM + +os.environ.pop("WATSONX_APIKEY", None) +os.environ.pop("WATSONX_PROJECT_ID", None) + + +def test_initialize_watsonxllm_bad_path_without_url() -> None: + try: + WatsonxLLM( + model_id="google/flan-ul2", + ) + except ValueError as e: + assert "WATSONX_URL" in e.__str__() + + +def test_initialize_watsonxllm_cloud_bad_path() -> None: + try: + WatsonxLLM(model_id="google/flan-ul2", url="https://us-south.ml.cloud.ibm.com") + except ValueError as e: + assert "WATSONX_APIKEY" in e.__str__() + + +def test_initialize_watsonxllm_cpd_bad_path_without_all() -> None: + try: + WatsonxLLM( + model_id="google/flan-ul2", + url="https://cpd-zen.apps.cpd48.cp.fyre.ibm.com", + ) + except ValueError as e: + assert ( + "WATSONX_APIKEY" in e.__str__() + and "WATSONX_PASSWORD" in e.__str__() + and "WATSONX_TOKEN" in e.__str__() + ) + + +def test_initialize_watsonxllm_cpd_bad_path_password_without_username() -> None: + try: + WatsonxLLM( + model_id="google/flan-ul2", + url="https://cpd-zen.apps.cpd48.cp.fyre.ibm.com", + password="test_password", + ) + except ValueError as e: + assert "WATSONX_USERNAME" in e.__str__() + + +def test_initialize_watsonxllm_cpd_bad_path_apikey_without_username() -> None: + try: + WatsonxLLM( + model_id="google/flan-ul2", + url="https://cpd-zen.apps.cpd48.cp.fyre.ibm.com", + apikey="test_apikey", + ) + except ValueError as e: + assert "WATSONX_USERNAME" in e.__str__()