ci: add GHA to execute how-to notebooks (#1694)

This commit is contained in:
Vadym Barda
2024-09-12 15:39:15 +00:00
committed by GitHub
parent 73d1051034
commit 889cc9b394
11 changed files with 404 additions and 65 deletions
+53
View File
@@ -0,0 +1,53 @@
name: Run notebooks
on:
workflow_call:
schedule:
- cron: '0 13 * * *'
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
lib-version:
- "development"
- "latest"
name: "test (langgraph: ${{ matrix.lib-version }})"
steps:
- uses: actions/checkout@v4
- name: Set up Python + Poetry
uses: "./.github/actions/poetry_setup"
with:
python-version: 3.11
poetry-version: 1.7.1
cache-key: test-langgraph-notebooks
- name: Install dependencies
run: |
poetry install --with test
poetry run pip install jupyter
- name: Start services
run: make start-services
- name: Prepare notebooks
if: ${{ matrix.lib-version == 'development' }}
run: poetry run python docs/_scripts/prepare_notebooks_for_ci.py
- name: Run notebooks
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }}
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
for file in $(find docs/docs/how-tos -name "*.ipynb")
do
echo "Executing $file"
PIP_PRE=1 poetry run jupyter execute "$file"
done
- name: Stop services
run: make stop-services
+7 -1
View File
@@ -20,4 +20,10 @@ clean-docs:
rm -rf docs/site
codespell:
./docs/codespell_notebooks.sh .
./docs/codespell_notebooks.sh .
start-services:
docker compose -f docs/test-compose.yml up -V --force-recreate --wait --remove-orphans
stop-services:
docker compose -f docs/test-compose.yml down
+44
View File
@@ -0,0 +1,44 @@
"""Preprocess notebooks for CI. Currently removes pip install cells."""
import os
import json
import logging
logger = logging.getLogger(__name__)
NOTEBOOK_DIRS = ("docs/docs/how-tos",)
def remove_install_cells(notebook_path: str) -> None:
with open(notebook_path, "r") as file:
notebook = json.load(file)
indices_to_delete = []
for index, cell in enumerate(notebook["cells"]):
if cell["cell_type"] == "code":
if any("pip install" in line for line in cell["source"]):
indices_to_delete.append(index)
for index in reversed(indices_to_delete):
notebook["cells"].pop(index)
with open(notebook_path, "w") as file:
json.dump(notebook, file, indent=2)
def process_notebooks() -> None:
for directory in NOTEBOOK_DIRS:
for root, _, files in os.walk(directory):
for file in files:
if not file.endswith(".ipynb"):
continue
notebook_path = os.path.join(root, file)
try:
remove_install_cells(notebook_path)
logger.info(f"Processed: {notebook_path}")
except Exception as e:
logger.error(f"Error processing {notebook_path}: {e}")
if __name__ == "__main__":
process_notebooks()
logger.info("All notebooks processed successfully.")
@@ -374,14 +374,22 @@
"model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
"model = ChatOpenAI(model=\"gpt-4o\")\n",
"\n",
"# NOTE:\n",
"# - if you're using langchain-core >= 0.3, you need to use pydantic v2\n",
"# - if you're using langchain-core >= 0.2,<0.3, you need to use pydantic v1\n",
"from langchain_core import __version__ as core_version\n",
"from packaging import version\n",
"\n",
"core_version = version.parse(core_version)\n",
"if (core_version.major, core_version.minor) < (0, 3):\n",
" from pydantic.v1 import BaseModel\n",
"else:\n",
" from pydantic import BaseModel\n",
"\n",
"# We are going \"bind\" all tools to the model\n",
"# We have the ACTUAL tools from above, but we also need a mock tool to ask a human\n",
"# Since `bind_tools` takes in tools but also just tool definitions,\n",
"# We can define a tool definition for `ask_human`\n",
"\n",
"from pydantic import BaseModel\n",
"\n",
"\n",
"class AskHuman(BaseModel):\n",
" \"\"\"Ask the human a question\"\"\"\n",
"\n",
+15 -3
View File
@@ -24,7 +24,7 @@
"outputs": [],
"source": [
"%%capture --no-stderr\n",
"%pip install --quiet -U langgraph langchain_openai"
"%pip install --quiet -U langgraph langchain_openai numpy"
]
},
{
@@ -351,7 +351,19 @@
"outputs": [],
"source": [
"from langchain_core.messages import HumanMessage, SystemMessage, ToolMessage\n",
"from pydantic import BaseModel, Field\n",
"from langgraph.pregel.retry import RetryPolicy\n",
"\n",
"# NOTE:\n",
"# - if you're using langchain-core >= 0.3, you need to use pydantic v2\n",
"# - if you're using langchain-core >= 0.2,<0.3, you need to use pydantic v1\n",
"from langchain_core import __version__ as core_version\n",
"from packaging import version\n",
"\n",
"core_version = version.parse(core_version)\n",
"if (core_version.major, core_version.minor) < (0, 3):\n",
" from pydantic.v1 import BaseModel, Field\n",
"else:\n",
" from pydantic import BaseModel, Field\n",
"\n",
"\n",
"class QueryForTools(BaseModel):\n",
@@ -394,7 +406,7 @@
"\n",
"graph_builder = StateGraph(State)\n",
"graph_builder.add_node(\"agent\", agent)\n",
"graph_builder.add_node(\"select_tools\", select_tools)\n",
"graph_builder.add_node(\"select_tools\", select_tools, retry=RetryPolicy(max_attempts=3))\n",
"\n",
"tool_node = ToolNode(tools=tools)\n",
"graph_builder.add_node(\"tools\", tool_node)\n",
+13 -2
View File
@@ -94,12 +94,23 @@
"import operator\n",
"from typing import Annotated, TypedDict\n",
"\n",
"from pydantic import BaseModel, Field\n",
"from langchain_anthropic import ChatAnthropic\n",
"\n",
"from langgraph.constants import Send\n",
"from langgraph.graph import END, StateGraph, START\n",
"\n",
"# NOTE:\n",
"# - if you're using langchain-core >= 0.3, you need to use pydantic v2\n",
"# - if you're using langchain-core >= 0.2,<0.3, you need to use pydantic v1\n",
"from langchain_core import __version__ as core_version\n",
"from packaging import version\n",
"\n",
"core_version = version.parse(core_version)\n",
"if (core_version.major, core_version.minor) < (0, 3):\n",
" from pydantic.v1 import BaseModel, Field\n",
"else:\n",
" from pydantic import BaseModel, Field\n",
"\n",
"# Model and prompts\n",
"# Define model and prompts we will use\n",
"subjects_prompt = \"\"\"Generate a comma separated list of between 2 and 5 examples related to: {topic}.\"\"\"\n",
@@ -118,7 +129,7 @@
"\n",
"\n",
"class BestJoke(BaseModel):\n",
" id: int = Field(description=\"Index of the best joke, starting with 0\")\n",
" id: int = Field(description=\"Index of the best joke, starting with 0\", ge=0)\n",
"\n",
"\n",
"model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
@@ -238,9 +238,7 @@
" \"\"\"Call to surf the web.\"\"\"\n",
" # This is a placeholder for the actual implementation\n",
" # Don't let the LLM know this though 😊\n",
" return [\n",
" \"It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\"\n",
" ]\n",
" return \"It's sunny in San Francisco, but you better look out if you're a Gemini 😈.\"\n",
"\n",
"\n",
"tools = [search]\n",
@@ -98,11 +98,21 @@
"from typing_extensions import Annotated\n",
"\n",
"from langchain_core.documents import Document\n",
"from pydantic import BaseModel\n",
"from langchain_core.tools import tool\n",
"\n",
"from langgraph.prebuilt import InjectedState\n",
"\n",
"# NOTE:\n",
"# - if you're using langchain-core >= 0.3, you need to use pydantic v2\n",
"# - if you're using langchain-core >= 0.2,<0.3, you need to use pydantic v1\n",
"from langchain_core import __version__ as core_version\n",
"from packaging import version\n",
"\n",
"core_version = version.parse(core_version)\n",
"if (core_version.major, core_version.minor) < (0, 3):\n",
" from pydantic.v1 import BaseModel\n",
"else:\n",
" from pydantic import BaseModel\n",
"\n",
"\n",
"@tool(parse_docstring=True, response_format=\"content_and_artifact\")\n",
"def get_context(question: List[str]) -> Tuple[str, List[Document]]:\n",
+25
View File
@@ -0,0 +1,25 @@
name: notebook-tests
services:
mongo:
image: mongo:latest
ports:
- "27017:27017"
redis:
image: redis:latest
ports:
- "6379:6379"
postgres:
image: postgres:16
ports:
- "5442:5432"
environment:
POSTGRES_DB: postgres
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
healthcheck:
test: pg_isready -U postgres
start_period: 10s
timeout: 1s
retries: 5
interval: 60s
start_interval: 1s
Generated
+210 -47
View File
@@ -105,6 +105,17 @@ six = ">=1.12.0"
astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
[[package]]
name = "async-timeout"
version = "4.0.3"
description = "Timeout context manager for asyncio programs"
optional = false
python-versions = ">=3.7"
files = [
{file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
{file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
]
[[package]]
name = "attrs"
version = "23.2.0"
@@ -548,6 +559,26 @@ files = [
{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
]
[[package]]
name = "dnspython"
version = "2.6.1"
description = "DNS toolkit"
optional = false
python-versions = ">=3.8"
files = [
{file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
{file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
]
[package.extras]
dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
dnssec = ["cryptography (>=41)"]
doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
doq = ["aioquic (>=0.9.25)"]
idna = ["idna (>=3.6)"]
trio = ["trio (>=0.23)"]
wmi = ["wmi (>=1.5.1)"]
[[package]]
name = "exceptiongroup"
version = "1.2.1"
@@ -830,25 +861,6 @@ files = [
{file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
]
[[package]]
name = "importlib-metadata"
version = "8.2.0"
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "importlib_metadata-8.2.0-py3-none-any.whl", hash = "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369"},
{file = "importlib_metadata-8.2.0.tar.gz", hash = "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d"},
]
[package.dependencies]
zipp = ">=0.5"
[package.extras]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"]
test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
[[package]]
name = "ipykernel"
version = "6.29.4"
@@ -904,7 +916,6 @@ prompt-toolkit = ">=3.0.41,<3.1.0"
pygments = ">=2.4.0"
stack-data = "*"
traitlets = ">=5"
typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
[package.extras]
all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
@@ -1107,7 +1118,6 @@ files = [
]
[package.dependencies]
importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
python-dateutil = ">=2.8.2"
pyzmq = ">=23.0"
@@ -1243,7 +1253,7 @@ files = []
develop = true
[package.dependencies]
langchain-core = ">=0.2.38,<0.4"
langchain-core = ">=0.2.39,<0.4"
langgraph-checkpoint = "^1.0.2"
[package.source]
@@ -1351,9 +1361,6 @@ files = [
{file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"},
]
[package.dependencies]
importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
[package.extras]
docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
testing = ["coverage", "pyyaml"]
@@ -1563,7 +1570,6 @@ files = [
click = ">=7.0"
colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
ghp-import = ">=1.0"
importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
jinja2 = ">=2.11.1"
markdown = ">=3.3.6"
markupsafe = ">=2.0.1"
@@ -1620,7 +1626,6 @@ files = [
]
[package.dependencies]
importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""}
mergedeep = ">=1.3.4"
platformdirs = ">=2.2.0"
pyyaml = ">=5.1"
@@ -1773,7 +1778,6 @@ files = [
[package.dependencies]
click = ">=7.0"
importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
Jinja2 = ">=2.11.1"
Markdown = ">=3.3"
MarkupSafe = ">=1.1"
@@ -1781,7 +1785,6 @@ mkdocs = ">=1.4"
mkdocs-autorefs = ">=0.3.1"
platformdirs = ">=2.2.0"
pymdown-extensions = ">=6.3"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.10\""}
[package.extras]
crystal = ["mkdocstrings-crystal (>=0.3.4)"]
@@ -1803,6 +1806,30 @@ files = [
griffe = ">=0.47"
mkdocstrings = ">=0.25"
[[package]]
name = "motor"
version = "3.5.1"
description = "Non-blocking MongoDB driver for Tornado or asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "motor-3.5.1-py3-none-any.whl", hash = "sha256:f95a9ea0f011464235e0bd72910baa291db3a6009e617ac27b82f57885abafb8"},
{file = "motor-3.5.1.tar.gz", hash = "sha256:1622bd7b39c3e6375607c14736f6e1d498128eadf6f5f93f8786cf17d37062ac"},
]
[package.dependencies]
pymongo = ">=4.5,<5"
[package.extras]
aws = ["pymongo[aws] (>=4.5,<5)"]
docs = ["aiohttp", "readthedocs-sphinx-search (>=0.3,<1.0)", "sphinx (>=5.3,<8)", "sphinx-rtd-theme (>=2,<3)", "tornado"]
encryption = ["pymongo[encryption] (>=4.5,<5)"]
gssapi = ["pymongo[gssapi] (>=4.5,<5)"]
ocsp = ["pymongo[ocsp] (>=4.5,<5)"]
snappy = ["pymongo[snappy] (>=4.5,<5)"]
test = ["aiohttp (!=3.8.6)", "mockupdb", "pymongo[encryption] (>=4.5,<5)", "pytest (>=7)", "tornado (>=5)"]
zstd = ["pymongo[zstd] (>=4.5,<5)"]
[[package]]
name = "msgpack"
version = "1.0.8"
@@ -1905,7 +1932,6 @@ files = [
beautifulsoup4 = "*"
bleach = "!=5.0.0"
defusedxml = "*"
importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
jinja2 = ">=3.0"
jupyter-core = ">=4.7"
jupyterlab-pygments = "*"
@@ -1960,6 +1986,68 @@ files = [
{file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
]
[[package]]
name = "numpy"
version = "2.1.1"
description = "Fundamental package for array computing in Python"
optional = false
python-versions = ">=3.10"
files = [
{file = "numpy-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c8a0e34993b510fc19b9a2ce7f31cb8e94ecf6e924a40c0c9dd4f62d0aac47d9"},
{file = "numpy-2.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7dd86dfaf7c900c0bbdcb8b16e2f6ddf1eb1fe39c6c8cca6e94844ed3152a8fd"},
{file = "numpy-2.1.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:5889dd24f03ca5a5b1e8a90a33b5a0846d8977565e4ae003a63d22ecddf6782f"},
{file = "numpy-2.1.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:59ca673ad11d4b84ceb385290ed0ebe60266e356641428c845b39cd9df6713ab"},
{file = "numpy-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13ce49a34c44b6de5241f0b38b07e44c1b2dcacd9e36c30f9c2fcb1bb5135db7"},
{file = "numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913cc1d311060b1d409e609947fa1b9753701dac96e6581b58afc36b7ee35af6"},
{file = "numpy-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:caf5d284ddea7462c32b8d4a6b8af030b6c9fd5332afb70e7414d7fdded4bfd0"},
{file = "numpy-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:57eb525e7c2a8fdee02d731f647146ff54ea8c973364f3b850069ffb42799647"},
{file = "numpy-2.1.1-cp310-cp310-win32.whl", hash = "sha256:9a8e06c7a980869ea67bbf551283bbed2856915f0a792dc32dd0f9dd2fb56728"},
{file = "numpy-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:d10c39947a2d351d6d466b4ae83dad4c37cd6c3cdd6d5d0fa797da56f710a6ae"},
{file = "numpy-2.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0d07841fd284718feffe7dd17a63a2e6c78679b2d386d3e82f44f0108c905550"},
{file = "numpy-2.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b5613cfeb1adfe791e8e681128f5f49f22f3fcaa942255a6124d58ca59d9528f"},
{file = "numpy-2.1.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:0b8cc2715a84b7c3b161f9ebbd942740aaed913584cae9cdc7f8ad5ad41943d0"},
{file = "numpy-2.1.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:b49742cdb85f1f81e4dc1b39dcf328244f4d8d1ded95dea725b316bd2cf18c95"},
{file = "numpy-2.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8d5f8a8e3bc87334f025194c6193e408903d21ebaeb10952264943a985066ca"},
{file = "numpy-2.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d51fc141ddbe3f919e91a096ec739f49d686df8af254b2053ba21a910ae518bf"},
{file = "numpy-2.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:98ce7fb5b8063cfdd86596b9c762bf2b5e35a2cdd7e967494ab78a1fa7f8b86e"},
{file = "numpy-2.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:24c2ad697bd8593887b019817ddd9974a7f429c14a5469d7fad413f28340a6d2"},
{file = "numpy-2.1.1-cp311-cp311-win32.whl", hash = "sha256:397bc5ce62d3fb73f304bec332171535c187e0643e176a6e9421a6e3eacef06d"},
{file = "numpy-2.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:ae8ce252404cdd4de56dcfce8b11eac3c594a9c16c231d081fb705cf23bd4d9e"},
{file = "numpy-2.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c803b7934a7f59563db459292e6aa078bb38b7ab1446ca38dd138646a38203e"},
{file = "numpy-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6435c48250c12f001920f0751fe50c0348f5f240852cfddc5e2f97e007544cbe"},
{file = "numpy-2.1.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3269c9eb8745e8d975980b3a7411a98976824e1fdef11f0aacf76147f662b15f"},
{file = "numpy-2.1.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:fac6e277a41163d27dfab5f4ec1f7a83fac94e170665a4a50191b545721c6521"},
{file = "numpy-2.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcd8f556cdc8cfe35e70efb92463082b7f43dd7e547eb071ffc36abc0ca4699b"},
{file = "numpy-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b9cd92c8f8e7b313b80e93cedc12c0112088541dcedd9197b5dee3738c1201"},
{file = "numpy-2.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:afd9c680df4de71cd58582b51e88a61feed4abcc7530bcd3d48483f20fc76f2a"},
{file = "numpy-2.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8661c94e3aad18e1ea17a11f60f843a4933ccaf1a25a7c6a9182af70610b2313"},
{file = "numpy-2.1.1-cp312-cp312-win32.whl", hash = "sha256:950802d17a33c07cba7fd7c3dcfa7d64705509206be1606f196d179e539111ed"},
{file = "numpy-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:3fc5eabfc720db95d68e6646e88f8b399bfedd235994016351b1d9e062c4b270"},
{file = "numpy-2.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5"},
{file = "numpy-2.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6e5a9cb2be39350ae6c8f79410744e80154df658d5bea06e06e0ac5bb75480d5"},
{file = "numpy-2.1.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:d4c57b68c8ef5e1ebf47238e99bf27657511ec3f071c465f6b1bccbef12d4136"},
{file = "numpy-2.1.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:8ae0fd135e0b157365ac7cc31fff27f07a5572bdfc38f9c2d43b2aff416cc8b0"},
{file = "numpy-2.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981707f6b31b59c0c24bcda52e5605f9701cb46da4b86c2e8023656ad3e833cb"},
{file = "numpy-2.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ca4b53e1e0b279142113b8c5eb7d7a877e967c306edc34f3b58e9be12fda8df"},
{file = "numpy-2.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:e097507396c0be4e547ff15b13dc3866f45f3680f789c1a1301b07dadd3fbc78"},
{file = "numpy-2.1.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7506387e191fe8cdb267f912469a3cccc538ab108471291636a96a54e599556"},
{file = "numpy-2.1.1-cp313-cp313-win32.whl", hash = "sha256:251105b7c42abe40e3a689881e1793370cc9724ad50d64b30b358bbb3a97553b"},
{file = "numpy-2.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:f212d4f46b67ff604d11fff7cc62d36b3e8714edf68e44e9760e19be38c03eb0"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:920b0911bb2e4414c50e55bd658baeb78281a47feeb064ab40c2b66ecba85553"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:bab7c09454460a487e631ffc0c42057e3d8f2a9ddccd1e60c7bb8ed774992480"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:cea427d1350f3fd0d2818ce7350095c1a2ee33e30961d2f0fef48576ddbbe90f"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:e30356d530528a42eeba51420ae8bf6c6c09559051887196599d96ee5f536468"},
{file = "numpy-2.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8dfa9e94fc127c40979c3eacbae1e61fda4fe71d84869cc129e2721973231ef"},
{file = "numpy-2.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910b47a6d0635ec1bd53b88f86120a52bf56dcc27b51f18c7b4a2e2224c29f0f"},
{file = "numpy-2.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:13cc11c00000848702322af4de0147ced365c81d66053a67c2e962a485b3717c"},
{file = "numpy-2.1.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:53e27293b3a2b661c03f79aa51c3987492bd4641ef933e366e0f9f6c9bf257ec"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7be6a07520b88214ea85d8ac8b7d6d8a1839b0b5cb87412ac9f49fa934eb15d5"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:52ac2e48f5ad847cd43c4755520a2317f3380213493b9d8a4c5e37f3b87df504"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50a95ca3560a6058d6ea91d4629a83a897ee27c00630aed9d933dff191f170cd"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:99f4a9ee60eed1385a86e82288971a51e71df052ed0b2900ed30bc840c0f2e39"},
{file = "numpy-2.1.1.tar.gz", hash = "sha256:d0cf7d55b1051387807405b3898efafa862997b4cba8aa5dbe657be794afeafd"},
]
[[package]]
name = "openai"
version = "1.44.1"
@@ -2470,6 +2558,78 @@ pyyaml = "*"
[package.extras]
extra = ["pygments (>=2.12)"]
[[package]]
name = "pymongo"
version = "4.8.0"
description = "Python driver for MongoDB <http://www.mongodb.org>"
optional = false
python-versions = ">=3.8"
files = [
{file = "pymongo-4.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f2b7bec27e047e84947fbd41c782f07c54c30c76d14f3b8bf0c89f7413fac67a"},
{file = "pymongo-4.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3c68fe128a171493018ca5c8020fc08675be130d012b7ab3efe9e22698c612a1"},
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:920d4f8f157a71b3cb3f39bc09ce070693d6e9648fb0e30d00e2657d1dca4e49"},
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52b4108ac9469febba18cea50db972605cc43978bedaa9fea413378877560ef8"},
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:180d5eb1dc28b62853e2f88017775c4500b07548ed28c0bd9c005c3d7bc52526"},
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aec2b9088cdbceb87e6ca9c639d0ff9b9d083594dda5ca5d3c4f6774f4c81b33"},
{file = "pymongo-4.8.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0cf61450feadca81deb1a1489cb1a3ae1e4266efd51adafecec0e503a8dcd84"},
{file = "pymongo-4.8.0-cp310-cp310-win32.whl", hash = "sha256:8b18c8324809539c79bd6544d00e0607e98ff833ca21953df001510ca25915d1"},
{file = "pymongo-4.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:e5df28f74002e37bcbdfdc5109799f670e4dfef0fb527c391ff84f078050e7b5"},
{file = "pymongo-4.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6b50040d9767197b77ed420ada29b3bf18a638f9552d80f2da817b7c4a4c9c68"},
{file = "pymongo-4.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:417369ce39af2b7c2a9c7152c1ed2393edfd1cbaf2a356ba31eb8bcbd5c98dd7"},
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf821bd3befb993a6db17229a2c60c1550e957de02a6ff4dd0af9476637b2e4d"},
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9365166aa801c63dff1a3cb96e650be270da06e3464ab106727223123405510f"},
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cc8b8582f4209c2459b04b049ac03c72c618e011d3caa5391ff86d1bda0cc486"},
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:16e5019f75f6827bb5354b6fef8dfc9d6c7446894a27346e03134d290eb9e758"},
{file = "pymongo-4.8.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b5802151fc2b51cd45492c80ed22b441d20090fb76d1fd53cd7760b340ff554"},
{file = "pymongo-4.8.0-cp311-cp311-win32.whl", hash = "sha256:4bf58e6825b93da63e499d1a58de7de563c31e575908d4e24876234ccb910eba"},
{file = "pymongo-4.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:b747c0e257b9d3e6495a018309b9e0c93b7f0d65271d1d62e572747f4ffafc88"},
{file = "pymongo-4.8.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e6a720a3d22b54183352dc65f08cd1547204d263e0651b213a0a2e577e838526"},
{file = "pymongo-4.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:31e4d21201bdf15064cf47ce7b74722d3e1aea2597c6785882244a3bb58c7eab"},
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6b804bb4f2d9dc389cc9e827d579fa327272cdb0629a99bfe5b83cb3e269ebf"},
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f2fbdb87fe5075c8beb17a5c16348a1ea3c8b282a5cb72d173330be2fecf22f5"},
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd39455b7ee70aabee46f7399b32ab38b86b236c069ae559e22be6b46b2bbfc4"},
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:940d456774b17814bac5ea7fc28188c7a1338d4a233efbb6ba01de957bded2e8"},
{file = "pymongo-4.8.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:236bbd7d0aef62e64caf4b24ca200f8c8670d1a6f5ea828c39eccdae423bc2b2"},
{file = "pymongo-4.8.0-cp312-cp312-win32.whl", hash = "sha256:47ec8c3f0a7b2212dbc9be08d3bf17bc89abd211901093e3ef3f2adea7de7a69"},
{file = "pymongo-4.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:e84bc7707492f06fbc37a9f215374d2977d21b72e10a67f1b31893ec5a140ad8"},
{file = "pymongo-4.8.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:519d1bab2b5e5218c64340b57d555d89c3f6c9d717cecbf826fb9d42415e7750"},
{file = "pymongo-4.8.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:87075a1feb1e602e539bdb1ef8f4324a3427eb0d64208c3182e677d2c0718b6f"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:77f53429515d2b3e86dcc83dadecf7ff881e538c168d575f3688698a8707b80a"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fdc20cd1e1141b04696ffcdb7c71e8a4a665db31fe72e51ec706b3bdd2d09f36"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:284d0717d1a7707744018b0b6ee7801b1b1ff044c42f7be7a01bb013de639470"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5bf0eb8b6ef40fa22479f09375468c33bebb7fe49d14d9c96c8fd50355188b0"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2ecd71b9226bd1d49416dc9f999772038e56f415a713be51bf18d8676a0841c8"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e0061af6e8c5e68b13f1ec9ad5251247726653c5af3c0bbdfbca6cf931e99216"},
{file = "pymongo-4.8.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:658d0170f27984e0d89c09fe5c42296613b711a3ffd847eb373b0dbb5b648d5f"},
{file = "pymongo-4.8.0-cp38-cp38-win32.whl", hash = "sha256:3ed1c316718a2836f7efc3d75b4b0ffdd47894090bc697de8385acd13c513a70"},
{file = "pymongo-4.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:7148419eedfea9ecb940961cfe465efaba90595568a1fb97585fb535ea63fe2b"},
{file = "pymongo-4.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e8400587d594761e5136a3423111f499574be5fd53cf0aefa0d0f05b180710b0"},
{file = "pymongo-4.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:af3e98dd9702b73e4e6fd780f6925352237f5dce8d99405ff1543f3771201704"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de3a860f037bb51f968de320baef85090ff0bbb42ec4f28ec6a5ddf88be61871"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0fc18b3a093f3db008c5fea0e980dbd3b743449eee29b5718bc2dc15ab5088bb"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18c9d8f975dd7194c37193583fd7d1eb9aea0c21ee58955ecf35362239ff31ac"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:408b2f8fdbeca3c19e4156f28fff1ab11c3efb0407b60687162d49f68075e63c"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6564780cafd6abeea49759fe661792bd5a67e4f51bca62b88faab497ab5fe89"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d18d86bc9e103f4d3d4f18b85a0471c0e13ce5b79194e4a0389a224bb70edd53"},
{file = "pymongo-4.8.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:9097c331577cecf8034422956daaba7ec74c26f7b255d718c584faddd7fa2e3c"},
{file = "pymongo-4.8.0-cp39-cp39-win32.whl", hash = "sha256:d5428dbcd43d02f6306e1c3c95f692f68b284e6ee5390292242f509004c9e3a8"},
{file = "pymongo-4.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:ef7225755ed27bfdb18730c68f6cb023d06c28f2b734597480fb4c0e500feb6f"},
{file = "pymongo-4.8.0.tar.gz", hash = "sha256:454f2295875744dc70f1881e4b2eb99cdad008a33574bc8aaf120530f66c0cde"},
]
[package.dependencies]
dnspython = ">=1.16.0,<3.0.0"
[package.extras]
aws = ["pymongo-auth-aws (>=1.1.0,<2.0.0)"]
docs = ["furo (==2023.9.10)", "readthedocs-sphinx-search (>=0.3,<1.0)", "sphinx (>=5.3,<8)", "sphinx-rtd-theme (>=2,<3)", "sphinxcontrib-shellcheck (>=1,<2)"]
encryption = ["certifi", "pymongo-auth-aws (>=1.1.0,<2.0.0)", "pymongocrypt (>=1.6.0,<2.0.0)"]
gssapi = ["pykerberos", "winkerberos (>=0.5.0)"]
ocsp = ["certifi", "cryptography (>=2.5)", "pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"]
snappy = ["python-snappy"]
test = ["pytest (>=7)"]
zstd = ["zstandard"]
[[package]]
name = "python-dateutil"
version = "2.9.0.post0"
@@ -2681,6 +2841,24 @@ files = [
[package.dependencies]
cffi = {version = "*", markers = "implementation_name == \"pypy\""}
[[package]]
name = "redis"
version = "5.0.8"
description = "Python client for Redis database and key-value store"
optional = false
python-versions = ">=3.7"
files = [
{file = "redis-5.0.8-py3-none-any.whl", hash = "sha256:56134ee08ea909106090934adc36f65c9bcbbaecea5b21ba704ba6fb561f8eb4"},
{file = "redis-5.0.8.tar.gz", hash = "sha256:0c5b10d387568dfe0698c6fad6615750c24170e548ca2deac10c649d463e9870"},
]
[package.dependencies]
async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\""}
[package.extras]
hiredis = ["hiredis (>1.0.0)"]
ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"]
[[package]]
name = "referencing"
version = "0.35.1"
@@ -3349,22 +3527,7 @@ files = [
{file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
]
[[package]]
name = "zipp"
version = "3.20.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
optional = false
python-versions = ">=3.8"
files = [
{file = "zipp-3.20.0-py3-none-any.whl", hash = "sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d"},
{file = "zipp-3.20.0.tar.gz", hash = "sha256:0145e43d89664cfe1a2e533adc75adafed82fe2da404b4bbb6b026c0157bdb31"},
]
[package.extras]
doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "11a13afccfb79769e9081875fdd2be1f2a9e627a921c3727ee56597f554839cb"
python-versions = "^3.10"
content-hash = "b0435e18edd5485df3779558884b60d0548aeb060608a8aac0310f69c7fe0d7e"
+12 -3
View File
@@ -7,11 +7,9 @@ license = "MIT"
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.9"
python = "^3.10"
[tool.poetry.group.docs.dependencies]
langchain-openai = "^0.1.23"
langchain-anthropic = "^0.1.23"
langgraph = { path = "libs/langgraph/", develop = true }
langgraph-checkpoint = { path = "libs/checkpoint/", develop = true }
langgraph-checkpoint-sqlite = { path = "libs/checkpoint-sqlite", develop = true }
@@ -30,6 +28,17 @@ markdown-include = "^0.8.1"
markdown-callouts = "^0.4.0"
mkdocs-exclude = "^1.0.2"
[tool.poetry.group.test.dependencies]
langchain-openai = "^0.1.23"
langchain-anthropic = "^0.1.23"
numpy = "^2.1.1"
redis = "^5.0.8"
pymongo = "^4.8.0"
motor = "^3.5.1"
[tool.poetry.group.test]
optional = true
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"