From 38523d7c5786b8ba7611e53f62c945f601861eea Mon Sep 17 00:00:00 2001 From: Erick Friis Date: Wed, 10 Jan 2024 17:55:34 -0800 Subject: [PATCH] together[minor]: add llm (#15853) --- docs/docs/integrations/llms/together.ipynb | 22 +- .../langchain_community/llms/together.py | 4 + .../together/langchain_together/__init__.py | 4 + .../together/langchain_together/llms.py | 204 +++++++++ .../together/langchain_together/version.py | 8 + libs/partners/together/poetry.lock | 432 +++++++++++++++++- libs/partners/together/pyproject.toml | 5 +- .../tests/integration_tests/test_llms.py | 40 ++ .../together/tests/unit_tests/test_imports.py | 2 + .../together/tests/unit_tests/test_llms.py | 61 +++ 10 files changed, 772 insertions(+), 10 deletions(-) create mode 100644 libs/partners/together/langchain_together/llms.py create mode 100644 libs/partners/together/langchain_together/version.py create mode 100644 libs/partners/together/tests/integration_tests/test_llms.py create mode 100644 libs/partners/together/tests/unit_tests/test_llms.py diff --git a/docs/docs/integrations/llms/together.ipynb b/docs/docs/integrations/llms/together.ipynb index cb6aa56d3ccb7..a166ddb116749 100644 --- a/docs/docs/integrations/llms/together.ipynb +++ b/docs/docs/integrations/llms/together.ipynb @@ -18,7 +18,17 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, + "id": "1ecdb29d", + "metadata": {}, + "outputs": [], + "source": [ + "%pip install --upgrade --quiet langchain-together" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "e7b7170d-d7c5-4890-9714-a37238343805", "metadata": {}, "outputs": [ @@ -37,7 +47,7 @@ } ], "source": [ - "from langchain_community.llms import Together\n", + "from langchain_together import Together\n", "\n", "llm = Together(\n", " model=\"togethercomputer/RedPajama-INCITE-7B-Base\",\n", @@ -51,15 +61,15 @@ "You provide succinct and accurate answers. Answer the following question: \n", "\n", "What is a large language model?\"\"\"\n", - "print(llm(input_))" + "print(llm.invoke(input_))" ] } ], "metadata": { "kernelspec": { - "display_name": "poetry-venv", + "display_name": ".venv", "language": "python", - "name": "poetry-venv" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -71,7 +81,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.11.4" } }, "nbformat": 4, diff --git a/libs/community/langchain_community/llms/together.py b/libs/community/langchain_community/llms/together.py index 72cf08959a251..1454bb4b6d66f 100644 --- a/libs/community/langchain_community/llms/together.py +++ b/libs/community/langchain_community/llms/together.py @@ -3,6 +3,7 @@ from typing import Any, Dict, List, Optional from aiohttp import ClientSession +from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, @@ -16,6 +17,9 @@ logger = logging.getLogger(__name__) +@deprecated( + since="0.0.12", removal="0.2", alternative_import="langchain_together.Together" +) class Together(LLM): """LLM models from `Together`. diff --git a/libs/partners/together/langchain_together/__init__.py b/libs/partners/together/langchain_together/__init__.py index ef3a1076c66d7..af4b231af9c8f 100644 --- a/libs/partners/together/langchain_together/__init__.py +++ b/libs/partners/together/langchain_together/__init__.py @@ -1,5 +1,9 @@ from langchain_together.embeddings import TogetherEmbeddings +from langchain_together.llms import Together +from langchain_together.version import __version__ __all__ = [ + "__version__", + "Together", "TogetherEmbeddings", ] diff --git a/libs/partners/together/langchain_together/llms.py b/libs/partners/together/langchain_together/llms.py new file mode 100644 index 0000000000000..d69a6674211fe --- /dev/null +++ b/libs/partners/together/langchain_together/llms.py @@ -0,0 +1,204 @@ +"""Wrapper around Together AI's Completion API.""" +import logging +from typing import Any, Dict, List, Optional + +import requests +from aiohttp import ClientSession +from langchain_core.callbacks import ( + AsyncCallbackManagerForLLMRun, + CallbackManagerForLLMRun, +) +from langchain_core.language_models.llms import LLM +from langchain_core.pydantic_v1 import Extra, SecretStr, root_validator +from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env + +from langchain_together.version import __version__ + +logger = logging.getLogger(__name__) + + +class Together(LLM): + """LLM models from `Together`. + + To use, you'll need an API key which you can find here: + https://api.together.xyz/settings/api-keys. This can be passed in as init param + ``together_api_key`` or set as environment variable ``TOGETHER_API_KEY``. + + Together AI API reference: https://docs.together.ai/reference/inference + """ + + base_url: str = "https://api.together.xyz/inference" + """Base inference API URL.""" + together_api_key: SecretStr + """Together AI API key. Get it here: https://api.together.xyz/settings/api-keys""" + model: str + """Model name. Available models listed here: + https://docs.together.ai/docs/inference-models + """ + temperature: Optional[float] = None + """Model temperature.""" + top_p: Optional[float] = None + """Used to dynamically adjust the number of choices for each predicted token based + on the cumulative probabilities. A value of 1 will always yield the same + output. A temperature less than 1 favors more correctness and is appropriate + for question answering or summarization. A value greater than 1 introduces more + randomness in the output. + """ + top_k: Optional[int] = None + """Used to limit the number of choices for the next predicted word or token. It + specifies the maximum number of tokens to consider at each step, based on their + probability of occurrence. This technique helps to speed up the generation + process and can improve the quality of the generated text by focusing on the + most likely options. + """ + max_tokens: Optional[int] = None + """The maximum number of tokens to generate.""" + repetition_penalty: Optional[float] = None + """A number that controls the diversity of generated text by reducing the + likelihood of repeated sequences. Higher values decrease repetition. + """ + logprobs: Optional[int] = None + """An integer that specifies how many top token log probabilities are included in + the response for each token generation step. + """ + + class Config: + """Configuration for this pydantic object.""" + + extra = Extra.forbid + + @root_validator(pre=True) + def validate_environment(cls, values: Dict) -> Dict: + """Validate that api key exists in environment.""" + values["together_api_key"] = convert_to_secret_str( + get_from_dict_or_env(values, "together_api_key", "TOGETHER_API_KEY") + ) + return values + + @property + def _llm_type(self) -> str: + """Return type of model.""" + return "together" + + def _format_output(self, output: dict) -> str: + return output["output"]["choices"][0]["text"] + + @staticmethod + def get_user_agent() -> str: + return f"langchain-together/{__version__}" + + @property + def default_params(self) -> Dict[str, Any]: + return { + "model": self.model, + "temperature": self.temperature, + "top_p": self.top_p, + "top_k": self.top_k, + "max_tokens": self.max_tokens, + "repetition_penalty": self.repetition_penalty, + } + + def _call( + self, + prompt: str, + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> str: + """Call out to Together's text generation endpoint. + + Args: + prompt: The prompt to pass into the model. + + Returns: + The string generated by the model.. + """ + + headers = { + "Authorization": f"Bearer {self.together_api_key.get_secret_value()}", + "Content-Type": "application/json", + } + stop_to_use = stop[0] if stop and len(stop) == 1 else stop + payload: Dict[str, Any] = { + **self.default_params, + "prompt": prompt, + "stop": stop_to_use, + **kwargs, + } + + # filter None values to not pass them to the http payload + payload = {k: v for k, v in payload.items() if v is not None} + response = requests.post(url=self.base_url, json=payload, headers=headers) + + if response.status_code >= 500: + raise Exception(f"Together Server: Error {response.status_code}") + elif response.status_code >= 400: + raise ValueError(f"Together received an invalid payload: {response.text}") + elif response.status_code != 200: + raise Exception( + f"Together returned an unexpected response with status " + f"{response.status_code}: {response.text}" + ) + + data = response.json() + if data.get("status") != "finished": + err_msg = data.get("error", "Undefined Error") + raise Exception(err_msg) + + output = self._format_output(data) + + return output + + async def _acall( + self, + prompt: str, + stop: Optional[List[str]] = None, + run_manager: Optional[AsyncCallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> str: + """Call Together model to get predictions based on the prompt. + + Args: + prompt: The prompt to pass into the model. + + Returns: + The string generated by the model. + """ + headers = { + "Authorization": f"Bearer {self.together_api_key.get_secret_value()}", + "Content-Type": "application/json", + } + stop_to_use = stop[0] if stop and len(stop) == 1 else stop + payload: Dict[str, Any] = { + **self.default_params, + "prompt": prompt, + "stop": stop_to_use, + **kwargs, + } + + # filter None values to not pass them to the http payload + payload = {k: v for k, v in payload.items() if v is not None} + async with ClientSession() as session: + async with session.post( + self.base_url, json=payload, headers=headers + ) as response: + if response.status >= 500: + raise Exception(f"Together Server: Error {response.status}") + elif response.status >= 400: + raise ValueError( + f"Together received an invalid payload: {response.text}" + ) + elif response.status != 200: + raise Exception( + f"Together returned an unexpected response with status " + f"{response.status}: {response.text}" + ) + + response_json = await response.json() + + if response_json.get("status") != "finished": + err_msg = response_json.get("error", "Undefined Error") + raise Exception(err_msg) + + output = self._format_output(response_json) + return output diff --git a/libs/partners/together/langchain_together/version.py b/libs/partners/together/langchain_together/version.py new file mode 100644 index 0000000000000..174dfeed4cda8 --- /dev/null +++ b/libs/partners/together/langchain_together/version.py @@ -0,0 +1,8 @@ +"""Main entrypoint into package.""" +from importlib import metadata + +try: + __version__ = metadata.version(__package__) +except metadata.PackageNotFoundError: + # Case where package metadata is not available. + __version__ = "" diff --git a/libs/partners/together/poetry.lock b/libs/partners/together/poetry.lock index 126e2314a0c1d..e9f21bcb494fb 100644 --- a/libs/partners/together/poetry.lock +++ b/libs/partners/together/poetry.lock @@ -1,4 +1,114 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + 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= "langchain-together" -version = "0.0.1" +version = "0.0.2" description = "An integration package connecting Together and LangChain" authors = [] readme = "README.md" @@ -9,6 +9,8 @@ readme = "README.md" python = ">=3.8.1,<4.0" langchain-core = ">=0.0.12" together = "^0.2.10" +requests = "^2" +aiohttp = "^3.9.1" [tool.poetry.group.test] optional = true @@ -42,6 +44,7 @@ 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 diff --git a/libs/partners/together/tests/integration_tests/test_llms.py b/libs/partners/together/tests/integration_tests/test_llms.py new file mode 100644 index 0000000000000..448137e363e48 --- /dev/null +++ b/libs/partners/together/tests/integration_tests/test_llms.py @@ -0,0 +1,40 @@ +"""Test Together API wrapper. + +In order to run this test, you need to have an Together api key. +You can get it by registering for free at https://api.together.xyz/. +A test key can be found at https://api.together.xyz/settings/api-keys + +You'll then need to set TOGETHER_API_KEY environment variable to your api key. +""" +import pytest as pytest + +from langchain_together import Together + + +def test_together_call() -> None: + """Test simple call to together.""" + llm = Together( + model="togethercomputer/RedPajama-INCITE-7B-Base", + temperature=0.2, + max_tokens=250, + ) + output = llm.invoke("Say foo:") + + assert llm._llm_type == "together" + assert isinstance(output, str) + assert len(output) > 0 + + +async def test_together_acall() -> None: + """Test simple call to together.""" + llm = Together( + model="togethercomputer/RedPajama-INCITE-7B-Base", + temperature=0.2, + max_tokens=250, + ) + output = await llm.agenerate(["Say foo:"], stop=["bar"]) + + assert llm._llm_type == "together" + output_text = output.generations[0][0].text + assert isinstance(output_text, str) + assert output_text.count("bar") <= 1 diff --git a/libs/partners/together/tests/unit_tests/test_imports.py b/libs/partners/together/tests/unit_tests/test_imports.py index 12600d247443e..b1492bd4422c0 100644 --- a/libs/partners/together/tests/unit_tests/test_imports.py +++ b/libs/partners/together/tests/unit_tests/test_imports.py @@ -1,6 +1,8 @@ from langchain_together import __all__ EXPECTED_ALL = [ + "__version__", + "Together", "TogetherEmbeddings", ] diff --git a/libs/partners/together/tests/unit_tests/test_llms.py b/libs/partners/together/tests/unit_tests/test_llms.py new file mode 100644 index 0000000000000..22cb93309aa76 --- /dev/null +++ b/libs/partners/together/tests/unit_tests/test_llms.py @@ -0,0 +1,61 @@ +"""Test Together LLM""" +from typing import cast + +from langchain_core.pydantic_v1 import SecretStr +from pytest import CaptureFixture, MonkeyPatch + +from langchain_together import Together + + +def test_together_api_key_is_secret_string() -> None: + """Test that the API key is stored as a SecretStr.""" + llm = Together( + together_api_key="secret-api-key", + model="togethercomputer/RedPajama-INCITE-7B-Base", + temperature=0.2, + max_tokens=250, + ) + assert isinstance(llm.together_api_key, SecretStr) + + +def test_together_api_key_masked_when_passed_from_env( + monkeypatch: MonkeyPatch, capsys: CaptureFixture +) -> None: + """Test that the API key is masked when passed from an environment variable.""" + monkeypatch.setenv("TOGETHER_API_KEY", "secret-api-key") + llm = Together( + model="togethercomputer/RedPajama-INCITE-7B-Base", + temperature=0.2, + max_tokens=250, + ) + print(llm.together_api_key, end="") + captured = capsys.readouterr() + + assert captured.out == "**********" + + +def test_together_api_key_masked_when_passed_via_constructor( + capsys: CaptureFixture, +) -> None: + """Test that the API key is masked when passed via the constructor.""" + llm = Together( + together_api_key="secret-api-key", + model="togethercomputer/RedPajama-INCITE-7B-Base", + temperature=0.2, + max_tokens=250, + ) + print(llm.together_api_key, end="") + captured = capsys.readouterr() + + assert captured.out == "**********" + + +def test_together_uses_actual_secret_value_from_secretstr() -> None: + """Test that the actual secret value is correctly retrieved.""" + llm = Together( + together_api_key="secret-api-key", + model="togethercomputer/RedPajama-INCITE-7B-Base", + temperature=0.2, + max_tokens=250, + ) + assert cast(SecretStr, llm.together_api_key).get_secret_value() == "secret-api-key"