mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-17 21:25:46 +02:00
Update to langchain-core 0.2.0
- Use stream_events(version=v2) in tests
This commit is contained in:
Nuno Campos
Generated
+71
-99
@@ -138,13 +138,13 @@ files = [
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[[package]]
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name = "anthropic"
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version = "0.25.6"
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version = "0.26.0"
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optional = false
|
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python-versions = ">=3.7"
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@@ -1627,23 +1627,21 @@ files = [
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|
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@@ -1659,64 +1657,38 @@ cli = ["typer (>=0.9.0,<0.10.0)"]
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
@@ -1732,36 +1704,36 @@ extended-testing = ["jinja2 (>=3,<4)"]
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||||
|
||||
[[package]]
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
version = "0.2.0"
|
||||
description = "LangChain text splitting utilities"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"},
|
||||
{file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"},
|
||||
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|
||||
{file = "langchain_text_splitters-0.2.0.tar.gz", hash = "sha256:b32ab4f7397f7d42c1fa3283fefc2547ba356bd63a68ee9092865e5ad83c82f9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
langchain-core = ">=0.1.28,<0.2.0"
|
||||
langchain-core = ">=0.2.0,<0.3.0"
|
||||
|
||||
[package.extras]
|
||||
extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
|
||||
extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "langchainhub"
|
||||
@@ -2243,13 +2215,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.23.4"
|
||||
version = "1.30.1"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.7.1"
|
||||
files = [
|
||||
{file = "openai-1.23.4-py3-none-any.whl", hash = "sha256:ecb72dcb415c8a1f1b6ef2fe32f8fc9a0942727b6365e8caedf916db5c19b180"},
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||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -3535,47 +3507,47 @@ typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "tiktoken"
|
||||
version = "0.6.0"
|
||||
version = "0.7.0"
|
||||
description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{file = "tiktoken-0.6.0.tar.gz", hash = "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed"},
|
||||
{file = "tiktoken-0.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:485f3cc6aba7c6b6ce388ba634fbba656d9ee27f766216f45146beb4ac18b25f"},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{file = "tiktoken-0.7.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:084cec29713bc9d4189a937f8a35dbdfa785bd1235a34c1124fe2323821ee93f"},
|
||||
{file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:811229fde1652fedcca7c6dfe76724d0908775b353556d8a71ed74d866f73f7b"},
|
||||
{file = "tiktoken-0.7.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86b6e7dc2e7ad1b3757e8a24597415bafcfb454cebf9a33a01f2e6ba2e663992"},
|
||||
{file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1063c5748be36344c7e18c7913c53e2cca116764c2080177e57d62c7ad4576d1"},
|
||||
{file = "tiktoken-0.7.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:20295d21419bfcca092644f7e2f2138ff947a6eb8cfc732c09cc7d76988d4a89"},
|
||||
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|
||||
{file = "tiktoken-0.7.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:71c55d066388c55a9c00f61d2c456a6086673ab7dec22dd739c23f77195b1908"},
|
||||
{file = "tiktoken-0.7.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:09ed925bccaa8043e34c519fbb2f99110bd07c6fd67714793c21ac298e449410"},
|
||||
{file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03c6c40ff1db0f48a7b4d2dafeae73a5607aacb472fa11f125e7baf9dce73704"},
|
||||
{file = "tiktoken-0.7.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d20b5c6af30e621b4aca094ee61777a44118f52d886dbe4f02b70dfe05c15350"},
|
||||
{file = "tiktoken-0.7.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d427614c3e074004efa2f2411e16c826f9df427d3c70a54725cae860f09e4bf4"},
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
{file = "tiktoken-0.7.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54031f95c6939f6b78122c0aa03a93273a96365103793a22e1793ee86da31685"},
|
||||
{file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:fffdcb319b614cf14f04d02a52e26b1d1ae14a570f90e9b55461a72672f7b13d"},
|
||||
{file = "tiktoken-0.7.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:c72baaeaefa03ff9ba9688624143c858d1f6b755bb85d456d59e529e17234769"},
|
||||
{file = "tiktoken-0.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:131b8aeb043a8f112aad9f46011dced25d62629091e51d9dc1adbf4a1cc6aa98"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cabc6dc77460df44ec5b879e68692c63551ae4fae7460dd4ff17181df75f1db7"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8d57f29171255f74c0aeacd0651e29aa47dff6f070cb9f35ebc14c82278f3b25"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ee92776fdbb3efa02a83f968c19d4997a55c8e9ce7be821ceee04a1d1ee149c"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e215292e99cb41fbc96988ef62ea63bb0ce1e15f2c147a61acc319f8b4cbe5bf"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:8a81bac94769cab437dd3ab0b8a4bc4e0f9cf6835bcaa88de71f39af1791727a"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d6d73ea93e91d5ca771256dfc9d1d29f5a554b83821a1dc0891987636e0ae226"},
|
||||
{file = "tiktoken-0.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:2bcb28ddf79ffa424f171dfeef9a4daff61a94c631ca6813f43967cb263b83b9"},
|
||||
{file = "tiktoken-0.7.0.tar.gz", hash = "sha256:1077266e949c24e0291f6c350433c6f0971365ece2b173a23bc3b9f9defef6b6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -4105,4 +4077,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9.0,<4.0"
|
||||
content-hash = "0f8a243e387f0c0e291e8fb51ebec1d403848041eb25833bf5a594ad44693021"
|
||||
content-hash = "9edaf266027731d88a4698350be7f65ca9e9d12ed00efc17143c5947f0307d1b"
|
||||
|
||||
+3
-4
@@ -25,7 +25,7 @@ pytest-mock = "^3.10.0"
|
||||
syrupy = "^4.0.2"
|
||||
httpx = "^0.26.0"
|
||||
pytest-watcher = "^0.4.1"
|
||||
langchain = "^0.1.0"
|
||||
langchain = ">=0.1.0"
|
||||
aiosqlite = "^0.19.0"
|
||||
grandalf = "^0.8"
|
||||
|
||||
@@ -40,10 +40,9 @@ optional = true
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
jupyter = "^1.0.0"
|
||||
langchain = "^0.1.0"
|
||||
langchainhub = "^0.1.14"
|
||||
langchain-openai = "^0.1.2"
|
||||
langchain-anthropic = "^0.1.8"
|
||||
langchain-openai = ">=0.1.2"
|
||||
langchain-anthropic = ">=0.1.8"
|
||||
|
||||
[tool.ruff]
|
||||
select = [ "E", "F", "I" ]
|
||||
|
||||
@@ -312,8 +312,8 @@
|
||||
"type": "runnable",
|
||||
"data": {
|
||||
"id": [
|
||||
"langchain_community",
|
||||
"llms",
|
||||
"langchain_core",
|
||||
"language_models",
|
||||
"fake",
|
||||
"FakeStreamingListLLM"
|
||||
],
|
||||
|
||||
+22
-14
@@ -1122,11 +1122,11 @@ def test_channel_enter_exit_timing(mocker: MockerFixture) -> None:
|
||||
def test_conditional_graph(snapshot: SnapshotAssertion) -> None:
|
||||
from copy import deepcopy
|
||||
|
||||
from langchain.llms.fake import FakeStreamingListLLM
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.agents import AgentAction, AgentFinish
|
||||
from langchain_core.language_models.fake import FakeStreamingListLLM
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from langchain_core.runnables import RunnablePassthrough
|
||||
from langchain_core.tools import tool
|
||||
|
||||
# Assemble the tools
|
||||
@tool()
|
||||
@@ -1900,10 +1900,10 @@ def test_conditional_entrypoint_graph(snapshot: SnapshotAssertion) -> None:
|
||||
|
||||
|
||||
def test_conditional_state_graph(snapshot: SnapshotAssertion) -> None:
|
||||
from langchain.llms.fake import FakeStreamingListLLM
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.agents import AgentAction, AgentFinish
|
||||
from langchain_core.language_models.fake import FakeStreamingListLLM
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class AgentState(TypedDict, total=False):
|
||||
input: str
|
||||
@@ -2612,10 +2612,10 @@ def test_conditional_state_graph(snapshot: SnapshotAssertion) -> None:
|
||||
|
||||
|
||||
def test_state_graph_w_config(snapshot: SnapshotAssertion) -> None:
|
||||
from langchain.llms.fake import FakeStreamingListLLM
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.agents import AgentAction, AgentFinish
|
||||
from langchain_core.language_models.fake import FakeStreamingListLLM
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class AgentState(TypedDict, total=False):
|
||||
input: str
|
||||
@@ -2698,10 +2698,12 @@ def test_state_graph_w_config(snapshot: SnapshotAssertion) -> None:
|
||||
|
||||
|
||||
def test_state_graph_few_shot(snapshot: SnapshotAssertion) -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, ToolMessage
|
||||
from langchain_core.prompts import ChatPromptTemplate
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class BaseState(TypedDict):
|
||||
messages: Annotated[list[AnyMessage], add_messages]
|
||||
@@ -2957,9 +2959,11 @@ def test_conditional_entrypoint_graph_state(snapshot: SnapshotAssertion) -> None
|
||||
|
||||
|
||||
def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class FakeFuntionChatModel(FakeMessagesListChatModel):
|
||||
def bind_tools(self, functions: list):
|
||||
@@ -3241,9 +3245,11 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
|
||||
|
||||
def test_prebuilt_chat(snapshot: SnapshotAssertion) -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, FunctionMessage, HumanMessage
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class FakeFuntionChatModel(FakeMessagesListChatModel):
|
||||
def bind_functions(self, functions: list):
|
||||
@@ -3378,9 +3384,10 @@ def test_message_graph(
|
||||
) -> None:
|
||||
from copy import deepcopy
|
||||
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.callbacks import CallbackManagerForLLMRun
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import (
|
||||
AIMessage,
|
||||
BaseMessage,
|
||||
@@ -3388,6 +3395,7 @@ def test_message_graph(
|
||||
ToolMessage,
|
||||
)
|
||||
from langchain_core.outputs import ChatGeneration, ChatResult
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class FakeFuntionChatModel(FakeMessagesListChatModel):
|
||||
def bind_functions(self, functions: list):
|
||||
|
||||
+27
-19
@@ -1120,11 +1120,11 @@ async def test_channel_enter_exit_timing(mocker: MockerFixture) -> None:
|
||||
async def test_conditional_graph() -> None:
|
||||
from copy import deepcopy
|
||||
|
||||
from langchain.llms.fake import FakeStreamingListLLM
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.agents import AgentAction, AgentFinish
|
||||
from langchain_core.language_models.fake import FakeStreamingListLLM
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from langchain_core.runnables import RunnablePassthrough
|
||||
from langchain_core.tools import tool
|
||||
|
||||
# Assemble the tools
|
||||
@tool()
|
||||
@@ -1923,10 +1923,10 @@ async def test_conditional_graph() -> None:
|
||||
|
||||
|
||||
async def test_conditional_graph_state() -> None:
|
||||
from langchain.llms.fake import FakeStreamingListLLM
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.agents import AgentAction, AgentFinish
|
||||
from langchain_core.language_models.fake import FakeStreamingListLLM
|
||||
from langchain_core.prompts import PromptTemplate
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class AgentState(TypedDict):
|
||||
input: str
|
||||
@@ -2430,10 +2430,12 @@ async def test_conditional_graph_state() -> None:
|
||||
|
||||
|
||||
async def test_state_graph_few_shot() -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, ToolMessage
|
||||
from langchain_core.prompts import ChatPromptTemplate
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class BaseState(TypedDict):
|
||||
messages: Annotated[list[AnyMessage], add_messages]
|
||||
@@ -2668,9 +2670,11 @@ async def test_conditional_entrypoint_graph_state() -> None:
|
||||
|
||||
|
||||
async def test_prebuilt_tool_chat() -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class FakeFuntionChatModel(FakeMessagesListChatModel):
|
||||
def bind_tools(self, functions: list):
|
||||
@@ -2851,9 +2855,11 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
|
||||
|
||||
async def test_prebuilt_chat() -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, FunctionMessage, HumanMessage
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class FakeFuntionChatModel(FakeMessagesListChatModel):
|
||||
def bind_functions(self, functions: list):
|
||||
@@ -2981,10 +2987,12 @@ async def test_prebuilt_chat() -> None:
|
||||
|
||||
|
||||
async def test_message_graph() -> None:
|
||||
from langchain.chat_models.fake import FakeMessagesListChatModel
|
||||
from langchain_community.tools import tool
|
||||
from langchain_core.agents import AgentAction
|
||||
from langchain_core.language_models.fake_chat_models import (
|
||||
FakeMessagesListChatModel,
|
||||
)
|
||||
from langchain_core.messages import AIMessage, FunctionMessage, HumanMessage
|
||||
from langchain_core.tools import tool
|
||||
|
||||
class FakeFuntionChatModel(FakeMessagesListChatModel):
|
||||
def bind_functions(self, functions: list):
|
||||
@@ -4571,7 +4579,7 @@ async def test_nested_graph(snapshot: SnapshotAssertion) -> None:
|
||||
times_called = 0
|
||||
async for event in app.astream_events(
|
||||
{"my_key": "my value", "never_called": never_called},
|
||||
version="v1",
|
||||
version="v2",
|
||||
config={"run_id": UUID(int=0)},
|
||||
stream_mode="values",
|
||||
):
|
||||
@@ -4587,16 +4595,16 @@ async def test_nested_graph(snapshot: SnapshotAssertion) -> None:
|
||||
times_called = 0
|
||||
async for event in app.astream_events(
|
||||
{"my_key": "my value", "never_called": never_called},
|
||||
version="v1",
|
||||
version="v2",
|
||||
config={"run_id": UUID(int=0)},
|
||||
):
|
||||
if event["event"] == "on_chain_end" and event["run_id"] == str(UUID(int=0)):
|
||||
times_called += 1
|
||||
assert event["data"] == {
|
||||
"output": [
|
||||
{"inner": {"my_key": "my value there"}},
|
||||
{"side": {"my_key": "my value there and back again"}},
|
||||
]
|
||||
"output": {
|
||||
"my_key": "my value there and back again",
|
||||
"never_called": never_called,
|
||||
}
|
||||
}
|
||||
assert times_called == 1
|
||||
|
||||
@@ -4620,7 +4628,7 @@ async def test_nested_graph(snapshot: SnapshotAssertion) -> None:
|
||||
times_called = 0
|
||||
async for event in chain.astream_events(
|
||||
{"my_key": "my value", "never_called": never_called},
|
||||
version="v1",
|
||||
version="v2",
|
||||
config={"run_id": UUID(int=0)},
|
||||
):
|
||||
if event["event"] == "on_chain_end" and event["run_id"] == str(UUID(int=0)):
|
||||
|
||||
Reference in New Issue
Block a user