From 1538ee17f914ec50c8f11759d588c956742daf2e Mon Sep 17 00:00:00 2001 From: ccurme Date: Tue, 12 Nov 2024 14:31:07 -0500 Subject: [PATCH] anthropic[major]: support python 3.13 (#27916) Last week Anthropic released version 0.39.0 of its python sdk, which enabled support for Python 3.13. This release deleted a legacy `client.count_tokens` method, which we currently access during init of the `Anthropic` LLM. Anthropic has replaced this functionality with the [client.beta.messages.count_tokens() API](https://github.com/anthropics/anthropic-sdk-python/pull/726). To enable support for `anthropic >= 0.39.0` and Python 3.13, here we drop support for the legacy token counting method, and add support for the new method via `ChatAnthropic.get_num_tokens_from_messages`. To fully support the token counting API, we update the signature of `get_num_tokens_from_message` to accept tools everywhere. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> --- .github/scripts/check_diff.py | 1 - .../chat_models/anyscale.py | 26 +- .../chat_models/everlyai.py | 26 +- .../langchain_community/chat_models/openai.py | 13 +- .../langchain_core/language_models/base.py | 17 +- .../tests/unit_tests/messages/test_utils.py | 14 +- .../tests/unit_tests/chat_models/test_base.py | 4 - .../langchain_anthropic/chat_models.py | 37 +- .../anthropic/langchain_anthropic/llms.py | 9 +- libs/partners/anthropic/poetry.lock | 843 +++++++----------- libs/partners/anthropic/pyproject.toml | 4 +- .../integration_tests/test_chat_models.py | 58 +- .../tests/unit_tests/test_chat_models.py | 2 +- .../langchain_openai/chat_models/base.py | 22 +- 14 files changed, 534 insertions(+), 542 deletions(-) diff --git a/.github/scripts/check_diff.py b/.github/scripts/check_diff.py index 600c7ac06de8d..bc5670e499322 100644 --- a/.github/scripts/check_diff.py +++ b/.github/scripts/check_diff.py @@ -37,7 +37,6 @@ PY_312_MAX_PACKAGES = [ f"libs/partners/{integration}" for integration in [ - "anthropic", "chroma", "couchbase", "huggingface", diff --git a/libs/community/langchain_community/chat_models/anyscale.py b/libs/community/langchain_community/chat_models/anyscale.py index bb1adff0ca3b6..e6f70b359f1eb 100644 --- a/libs/community/langchain_community/chat_models/anyscale.py +++ b/libs/community/langchain_community/chat_models/anyscale.py @@ -5,10 +5,22 @@ import logging import os import sys -from typing import TYPE_CHECKING, Any, Dict, Optional, Set +import warnings +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Optional, + Sequence, + Set, + Type, + Union, +) import requests from langchain_core.messages import BaseMessage +from langchain_core.tools import BaseTool from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env from pydantic import Field, SecretStr, model_validator @@ -197,10 +209,20 @@ def _get_encoding_model(self) -> tuple[str, tiktoken.Encoding]: encoding = tiktoken_.get_encoding(model) return model, encoding - def get_num_tokens_from_messages(self, messages: list[BaseMessage]) -> int: + def get_num_tokens_from_messages( + self, + messages: list[BaseMessage], + tools: Optional[ + Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]] + ] = None, + ) -> int: """Calculate num tokens with tiktoken package. Official documentation: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb """ + if tools is not None: + warnings.warn( + "Counting tokens in tool schemas is not yet supported. Ignoring tools." + ) if sys.version_info[1] <= 7: return super().get_num_tokens_from_messages(messages) model, encoding = self._get_encoding_model() diff --git a/libs/community/langchain_community/chat_models/everlyai.py b/libs/community/langchain_community/chat_models/everlyai.py index f7de8d3a34f87..52dd4f6c5991d 100644 --- a/libs/community/langchain_community/chat_models/everlyai.py +++ b/libs/community/langchain_community/chat_models/everlyai.py @@ -4,9 +4,21 @@ import logging import sys -from typing import TYPE_CHECKING, Any, Dict, Optional, Set +import warnings +from typing import ( + TYPE_CHECKING, + Any, + Callable, + Dict, + Optional, + Sequence, + Set, + Type, + Union, +) from langchain_core.messages import BaseMessage +from langchain_core.tools import BaseTool from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env from pydantic import Field, model_validator @@ -138,11 +150,21 @@ def _get_encoding_model(self) -> tuple[str, tiktoken.Encoding]: encoding = tiktoken_.get_encoding(model) return model, encoding - def get_num_tokens_from_messages(self, messages: list[BaseMessage]) -> int: + def get_num_tokens_from_messages( + self, + messages: list[BaseMessage], + tools: Optional[ + Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]] + ] = None, + ) -> int: """Calculate num tokens with tiktoken package. Official documentation: https://github.com/openai/openai-cookbook/blob/ main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" + if tools is not None: + warnings.warn( + "Counting tokens in tool schemas is not yet supported. Ignoring tools." + ) if sys.version_info[1] <= 7: return super().get_num_tokens_from_messages(messages) model, encoding = self._get_encoding_model() diff --git a/libs/community/langchain_community/chat_models/openai.py b/libs/community/langchain_community/chat_models/openai.py index a2b3a057295b2..4d1666b626869 100644 --- a/libs/community/langchain_community/chat_models/openai.py +++ b/libs/community/langchain_community/chat_models/openai.py @@ -46,6 +46,7 @@ ) from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult from langchain_core.runnables import Runnable +from langchain_core.tools import BaseTool from langchain_core.utils import ( get_from_dict_or_env, get_pydantic_field_names, @@ -644,11 +645,21 @@ def get_token_ids(self, text: str) -> List[int]: _, encoding_model = self._get_encoding_model() return encoding_model.encode(text) - def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int: + def get_num_tokens_from_messages( + self, + messages: List[BaseMessage], + tools: Optional[ + Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]] + ] = None, + ) -> int: """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package. Official documentation: https://github.com/openai/openai-cookbook/blob/ main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" + if tools is not None: + warnings.warn( + "Counting tokens in tool schemas is not yet supported. Ignoring tools." + ) if sys.version_info[1] <= 7: return super().get_num_tokens_from_messages(messages) model, encoding = self._get_encoding_model() diff --git a/libs/core/langchain_core/language_models/base.py b/libs/core/langchain_core/language_models/base.py index 5e60c890a4708..a6db99a495111 100644 --- a/libs/core/langchain_core/language_models/base.py +++ b/libs/core/langchain_core/language_models/base.py @@ -1,5 +1,6 @@ from __future__ import annotations +import warnings from abc import ABC, abstractmethod from collections.abc import Mapping, Sequence from functools import cache @@ -364,17 +365,31 @@ def get_num_tokens(self, text: str) -> int: """ return len(self.get_token_ids(text)) - def get_num_tokens_from_messages(self, messages: list[BaseMessage]) -> int: + def get_num_tokens_from_messages( + self, + messages: list[BaseMessage], + tools: Optional[Sequence] = None, + ) -> int: """Get the number of tokens in the messages. Useful for checking if an input fits in a model's context window. + **Note**: the base implementation of get_num_tokens_from_messages ignores + tool schemas. + Args: messages: The message inputs to tokenize. + tools: If provided, sequence of dict, BaseModel, function, or BaseTools + to be converted to tool schemas. Returns: The sum of the number of tokens across the messages. """ + if tools is not None: + warnings.warn( + "Counting tokens in tool schemas is not yet supported. Ignoring tools.", + stacklevel=2, + ) return sum([self.get_num_tokens(get_buffer_string([m])) for m in messages]) @classmethod diff --git a/libs/core/tests/unit_tests/messages/test_utils.py b/libs/core/tests/unit_tests/messages/test_utils.py index ff251e3632078..5941c14831a7a 100644 --- a/libs/core/tests/unit_tests/messages/test_utils.py +++ b/libs/core/tests/unit_tests/messages/test_utils.py @@ -1,5 +1,8 @@ import base64 import json +import typing +from collections.abc import Sequence +from typing import Any, Callable, Optional, Union import pytest @@ -19,6 +22,7 @@ merge_message_runs, trim_messages, ) +from langchain_core.tools import BaseTool @pytest.mark.parametrize("msg_cls", [HumanMessage, AIMessage, SystemMessage]) @@ -431,7 +435,15 @@ def dummy_token_counter(messages: list[BaseMessage]) -> int: class FakeTokenCountingModel(FakeChatModel): - def get_num_tokens_from_messages(self, messages: list[BaseMessage]) -> int: + def get_num_tokens_from_messages( + self, + messages: list[BaseMessage], + tools: Optional[ + Sequence[ + Union[typing.Dict[str, Any], type, Callable, BaseTool] # noqa: UP006 + ] + ] = None, + ) -> int: return dummy_token_counter(messages) diff --git a/libs/langchain/tests/unit_tests/chat_models/test_base.py b/libs/langchain/tests/unit_tests/chat_models/test_base.py index 8b7f64456977e..fd5e3e80f21fd 100644 --- a/libs/langchain/tests/unit_tests/chat_models/test_base.py +++ b/libs/langchain/tests/unit_tests/chat_models/test_base.py @@ -3,7 +3,6 @@ import pytest from langchain_core.language_models import BaseChatModel -from langchain_core.messages import HumanMessage from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import RunnableConfig, RunnableSequence from pydantic import SecretStr @@ -180,9 +179,6 @@ def test_configurable_with_default() -> None: ) assert model_with_config.model == "claude-3-sonnet-20240229" # type: ignore[attr-defined] - # Anthropic defaults to using `transformers` for token counting. - with pytest.raises(ImportError): - model_with_config.get_num_tokens_from_messages([(HumanMessage("foo"))]) # type: ignore[attr-defined] assert model_with_config.model_dump() == { # type: ignore[attr-defined] "name": None, diff --git a/libs/partners/anthropic/langchain_anthropic/chat_models.py b/libs/partners/anthropic/langchain_anthropic/chat_models.py index 5a6ca4cc6b993..20641c3862213 100644 --- a/libs/partners/anthropic/langchain_anthropic/chat_models.py +++ b/libs/partners/anthropic/langchain_anthropic/chat_models.py @@ -21,7 +21,7 @@ ) import anthropic -from langchain_core._api import deprecated +from langchain_core._api import beta, deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, @@ -1113,6 +1113,41 @@ class AnswerWithJustification(BaseModel): else: return llm | output_parser + @beta() + def get_num_tokens_from_messages( + self, + messages: List[BaseMessage], + tools: Optional[ + Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]] + ] = None, + ) -> int: + """Count tokens in a sequence of input messages. + + Args: + messages: The message inputs to tokenize. + tools: If provided, sequence of dict, BaseModel, function, or BaseTools + to be converted to tool schemas. + + .. versionchanged:: 0.3.0 + + Uses Anthropic's token counting API to count tokens in messages. See: + https://docs.anthropic.com/en/docs/build-with-claude/token-counting + """ + formatted_system, formatted_messages = _format_messages(messages) + kwargs: Dict[str, Any] = {} + if isinstance(formatted_system, str): + kwargs["system"] = formatted_system + if tools: + kwargs["tools"] = [convert_to_anthropic_tool(tool) for tool in tools] + + response = self._client.beta.messages.count_tokens( + betas=["token-counting-2024-11-01"], + model=self.model, + messages=formatted_messages, # type: ignore[arg-type] + **kwargs, + ) + return response.input_tokens + class AnthropicTool(TypedDict): """Anthropic tool definition.""" diff --git a/libs/partners/anthropic/langchain_anthropic/llms.py b/libs/partners/anthropic/langchain_anthropic/llms.py index 5b53663d7e2a4..986137902c3ea 100644 --- a/libs/partners/anthropic/langchain_anthropic/llms.py +++ b/libs/partners/anthropic/langchain_anthropic/llms.py @@ -109,7 +109,6 @@ def validate_environment(self) -> Self: ) self.HUMAN_PROMPT = anthropic.HUMAN_PROMPT self.AI_PROMPT = anthropic.AI_PROMPT - self.count_tokens = self.client.count_tokens return self @property @@ -375,9 +374,11 @@ async def _astream( def get_num_tokens(self, text: str) -> int: """Calculate number of tokens.""" - if not self.count_tokens: - raise NameError("Please ensure the anthropic package is loaded") - return self.count_tokens(text) + raise NotImplementedError( + "Anthropic's legacy count_tokens method was removed in anthropic 0.39.0 " + "and langchain-anthropic 0.3.0. Please use " + "ChatAnthropic.get_num_tokens_from_messages instead." + ) @deprecated(since="0.1.0", removal="0.3.0", alternative="AnthropicLLM") diff --git a/libs/partners/anthropic/poetry.lock b/libs/partners/anthropic/poetry.lock index 23fccaa9d3169..7bdb5dcb20f0d 100644 --- a/libs/partners/anthropic/poetry.lock +++ b/libs/partners/anthropic/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "annotated-types" @@ -13,13 +13,13 @@ files = [ [[package]] name = "anthropic" -version = "0.35.0" +version = "0.39.0" description = "The official Python library for the anthropic API" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "anthropic-0.35.0-py3-none-any.whl", hash = "sha256:777983989ed9e444eb4a6d92dad84027f14a6639cba6f48772c0078d51959828"}, - {file = "anthropic-0.35.0.tar.gz", hash = "sha256:d2f998246413c309a7770d1faa617500f505377a04ab45a13a66f8559daf3742"}, + {file = "anthropic-0.39.0-py3-none-any.whl", hash = "sha256:ea17093ae0ce0e1768b0c46501d6086b5bcd74ff39d68cd2d6396374e9de7c09"}, + {file = "anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba"}, ] [package.dependencies] @@ -29,7 +29,6 @@ httpx = ">=0.23.0,<1" jiter = ">=0.4.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" -tokenizers = ">=0.13.0" typing-extensions = ">=4.7,<5" [package.extras] @@ -38,13 +37,13 @@ vertex = ["google-auth (>=2,<3)"] [[package]] name = "anyio" -version = "4.6.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.9" files = [ - {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"}, - {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"}, + {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"}, + {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"}, ] [package.dependencies] @@ -55,7 +54,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} [package.extras] doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] -test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"] trio = ["trio (>=0.26.1)"] [[package]] @@ -71,101 +70,116 @@ files = [ [[package]] name = "charset-normalizer" -version = "3.3.2" +version = "3.4.0" description = "The Real First Universal Charset Detector. 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"f1cd6241802e9ee68050d69ed38775fa26182185984cc18b30f51595dba56330" +content-hash = "e419b3bdf2ccff2715d43d8f64a0bf08e84d3cb748524bb6954af07628b86bbb" diff --git a/libs/partners/anthropic/pyproject.toml b/libs/partners/anthropic/pyproject.toml index 55c5b90e1b482..064a12dc5d422 100644 --- a/libs/partners/anthropic/pyproject.toml +++ b/libs/partners/anthropic/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "langchain-anthropic" -version = "0.2.4" +version = "0.3.0" description = "An integration package connecting AnthropicMessages and LangChain" authors = [] readme = "README.md" @@ -20,7 +20,7 @@ disallow_untyped_defs = "True" [tool.poetry.dependencies] python = ">=3.9,<4.0" -anthropic = ">=0.30.0,<1" +anthropic = ">=0.39.0,<1" langchain-core = "^0.3.15" pydantic = "^2.7.4" diff --git a/libs/partners/anthropic/tests/integration_tests/test_chat_models.py b/libs/partners/anthropic/tests/integration_tests/test_chat_models.py index 037caf718daac..5c2295492632d 100644 --- a/libs/partners/anthropic/tests/integration_tests/test_chat_models.py +++ b/libs/partners/anthropic/tests/integration_tests/test_chat_models.py @@ -317,7 +317,7 @@ async def test_anthropic_async_streaming_callback() -> None: def test_anthropic_multimodal() -> None: """Test that multimodal inputs are handled correctly.""" chat = ChatAnthropic(model=MODEL_NAME) # type: ignore[call-arg] - messages = [ + messages: list[BaseMessage] = [ HumanMessage( content=[ { @@ -334,6 +334,8 @@ def test_anthropic_multimodal() -> None: response = chat.invoke(messages) assert isinstance(response, AIMessage) assert isinstance(response.content, str) + num_tokens = chat.get_num_tokens_from_messages(messages) + assert num_tokens > 0 def test_streaming() -> None: @@ -505,6 +507,60 @@ def test_with_structured_output() -> None: assert response["location"] +def test_get_num_tokens_from_messages() -> None: + llm = ChatAnthropic(model="claude-3-5-sonnet-20241022") # type: ignore[call-arg] + + # Test simple case + messages = [ + SystemMessage(content="You are a scientist"), + HumanMessage(content="Hello, Claude"), + ] + num_tokens = llm.get_num_tokens_from_messages(messages) + assert num_tokens > 0 + + # Test tool use + @tool(parse_docstring=True) + def get_weather(location: str) -> str: + """Get the current weather in a given location + + Args: + location: The city and state, e.g. San Francisco, CA + """ + return "Sunny" + + messages = [ + HumanMessage(content="What's the weather like in San Francisco?"), + ] + num_tokens = llm.get_num_tokens_from_messages(messages, tools=[get_weather]) + assert num_tokens > 0 + + messages = [ + HumanMessage(content="What's the weather like in San Francisco?"), + AIMessage( + content=[ + {"text": "Let's see.", "type": "text"}, + { + "id": "toolu_01V6d6W32QGGSmQm4BT98EKk", + "input": {"location": "SF"}, + "name": "get_weather", + "type": "tool_use", + }, + ], + tool_calls=[ + { + "name": "get_weather", + "args": {"location": "SF"}, + "id": "toolu_01V6d6W32QGGSmQm4BT98EKk", + "type": "tool_call", + }, + ], + ), + ToolMessage(content="Sunny", tool_call_id="toolu_01V6d6W32QGGSmQm4BT98EKk"), + ] + num_tokens = llm.get_num_tokens_from_messages(messages, tools=[get_weather]) + assert num_tokens > 0 + + class GetWeather(BaseModel): """Get the current weather in a given location""" diff --git a/libs/partners/anthropic/tests/unit_tests/test_chat_models.py b/libs/partners/anthropic/tests/unit_tests/test_chat_models.py index b37246e986e8f..dcdf0f10bf1f2 100644 --- a/libs/partners/anthropic/tests/unit_tests/test_chat_models.py +++ b/libs/partners/anthropic/tests/unit_tests/test_chat_models.py @@ -331,7 +331,7 @@ class Schema(BaseModel): arg1: int = Field(..., description="foo") arg2: Literal["bar", "baz"] = Field(..., description="one of 'bar', 'baz'") - class DummyFunction(BaseTool): + class DummyFunction(BaseTool): # type: ignore[override] args_schema: Type[BaseModel] = Schema name: str = "dummy_function" description: str = "dummy function" diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 9d6c1996423d8..7d69b27fb1bc8 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -886,8 +886,13 @@ def get_token_ids(self, text: str) -> List[int]: _, encoding_model = self._get_encoding_model() return encoding_model.encode(text) - # TODO: Count bound tools as part of input. - def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int: + def get_num_tokens_from_messages( + self, + messages: List[BaseMessage], + tools: Optional[ + Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]] + ] = None, + ) -> int: """Calculate num tokens for gpt-3.5-turbo and gpt-4 with tiktoken package. **Requirements**: You must have the ``pillow`` installed if you want to count @@ -897,7 +902,18 @@ def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int: counting. OpenAI reference: https://github.com/openai/openai-cookbook/blob/ - main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb""" + main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb + + Args: + messages: The message inputs to tokenize. + tools: If provided, sequence of dict, BaseModel, function, or BaseTools + to be converted to tool schemas. + """ + # TODO: Count bound tools as part of input. + if tools is not None: + warnings.warn( + "Counting tokens in tool schemas is not yet supported. Ignoring tools." + ) if sys.version_info[1] <= 7: return super().get_num_tokens_from_messages(messages) model, encoding = self._get_encoding_model()