diff --git a/langfuse/langchain/CallbackHandler.py b/langfuse/langchain/CallbackHandler.py index 98ef24680..d3eacbffd 100644 --- a/langfuse/langchain/CallbackHandler.py +++ b/langfuse/langchain/CallbackHandler.py @@ -19,11 +19,11 @@ from langfuse.logger import langfuse_logger try: - import langchain # noqa + import langchain_core # noqa except ImportError as e: langfuse_logger.error( - f"Could not import langchain. The langchain integration will not work. {e}" + f"Could not import langchain_core. The langchain integration will not work. {e}" ) from typing import Any, Dict, List, Literal, Optional, Sequence, Set, Type, Union, cast @@ -33,11 +33,11 @@ from langfuse.langchain.utils import _extract_model_name try: - from langchain.callbacks.base import ( + from langchain_core.callbacks.base import ( BaseCallbackHandler as LangchainBaseCallbackHandler, ) - from langchain.schema.agent import AgentAction, AgentFinish - from langchain.schema.document import Document + from langchain_core.agents import AgentAction, AgentFinish + from langchain_core.documents import Document from langchain_core.messages import ( AIMessage, BaseMessage, diff --git a/poetry.lock b/poetry.lock index 4387fe601..dc7304786 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. 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[[package]] name = "tenacity" version = "9.1.2" @@ -2284,7 +2041,6 @@ files = [ {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"}, {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"}, ] -markers = {main = "extra == \"langchain\""} [package.extras] doc = ["reno", "sphinx"] @@ -2841,16 +2597,15 @@ files = [ {file = "zstandard-0.24.0-cp39-cp39-win_amd64.whl", hash = "sha256:8ecd3b1f7a601f79e0cd20c26057d770219c0dc2f572ea07390248da2def79a4"}, {file = "zstandard-0.24.0.tar.gz", hash = "sha256:fe3198b81c00032326342d973e526803f183f97aa9e9a98e3f897ebafe21178f"}, ] -markers = {main = "extra == \"langchain\""} [package.extras] cffi = ["cffi (>=1.17) ; python_version >= \"3.13\" and platform_python_implementation != \"PyPy\""] [extras] -langchain = ["langchain"] +langchain = [] openai = ["openai"] [metadata] lock-version = "2.1" python-versions = ">=3.9,<4.0" -content-hash = "83ae81e7b9fd90ae8000dc0ac491ff766b899b166a5fc895043d0555267e288c" +content-hash = "fdca35eae3f88f974a53527754c062114f8f03dccdbc52314af6efa82fb38776" diff --git a/pyproject.toml b/pyproject.toml index 748670e89..cac7f7d11 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,7 +14,7 @@ pydantic = ">=1.10.7, <3.0" backoff = ">=1.10.0" openai = { version = ">=0.27.8", optional = true } wrapt = "^1.14" -langchain = { version = ">=0.0.309", optional = true } +langchain-core = { version = ">=0.1.0", optional = true } packaging = ">=23.2,<26.0" requests = "^2" opentelemetry-api = "^1.33.1" @@ -30,6 +30,7 @@ pytest-asyncio = ">=0.21.1,<1.2.0" pytest-httpserver = "^1.0.8" ruff = ">=0.1.8,<0.13.0" mypy = "^1.0.0" +langchain = ">=0.0.309" langchain-openai = ">=0.0.5,<0.4" langgraph = ">=0.2.62,<0.7.0" autoevals = "^0.0.130" @@ -39,7 +40,7 @@ pdoc = "^15.0.4" [tool.poetry.extras] openai = ["openai"] -langchain = ["langchain"] +langchain = ["langchain-core"] [build-system] requires = ["poetry-core>=1.0.0"] @@ -94,7 +95,7 @@ module = [ "wrapt.*", "packaging.*", "requests.*", - "opentelemetry.*" + "opentelemetry.*", ] ignore_missing_imports = true @@ -102,7 +103,7 @@ ignore_missing_imports = true module = [ "langfuse.api.resources.*", "langfuse.api.core.*", - "langfuse.api.client" + "langfuse.api.client", ] ignore_errors = true diff --git a/tests/test_langchain.py b/tests/test_langchain.py index deac5de7d..03fa8bdfe 100644 --- a/tests/test_langchain.py +++ b/tests/test_langchain.py @@ -13,8 +13,8 @@ ) from langchain.chains.openai_functions import create_openai_fn_chain from langchain.memory import ConversationBufferMemory -from langchain.prompts import ChatPromptTemplate, PromptTemplate -from langchain.schema import HumanMessage, SystemMessage +from langchain_core.prompts import ChatPromptTemplate, PromptTemplate +from langchain_core.messages import HumanMessage, SystemMessage from langchain_core.callbacks.manager import CallbackManagerForLLMRun from langchain_core.language_models.llms import LLM from langchain_core.output_parsers import StrOutputParser @@ -1162,9 +1162,9 @@ def _generate_random_dict(n: int, key_length: int = 8) -> Dict[str, Any]: overhead = duration_with_langfuse - duration_without_langfuse print(f"Langfuse overhead: {overhead}ms") - assert ( - overhead < 100 - ), f"Langfuse tracing overhead of {overhead}ms exceeds threshold" + assert overhead < 100, ( + f"Langfuse tracing overhead of {overhead}ms exceeds threshold" + ) langfuse.flush() @@ -1429,6 +1429,6 @@ def _get_relevant_documents(self, query: str, *, run_manager): obs_count = len([obs for obs in trace.observations if obs.type == obs_type]) assert obs_count > 0, f"Expected {obs_type} observations, found {obs_count}" - assert expected_types.issubset( - types_found - ), f"Missing types: {expected_types - types_found}" + assert expected_types.issubset(types_found), ( + f"Missing types: {expected_types - types_found}" + )