2023-12-11 21:53:30 +00:00
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[tool.poetry]
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name = "langchain-community"
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2024-01-23 19:50:10 +00:00
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version = "0.0.15"
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2023-12-11 21:53:30 +00:00
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description = "Community contributed LangChain integrations."
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authors = []
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license = "MIT"
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readme = "README.md"
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repository = "https://github.com/langchain-ai/langchain"
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[tool.poetry.dependencies]
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python = ">=3.8.1,<4.0"
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2024-01-22 16:50:19 +00:00
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langchain-core = ">=0.1.14,<0.2"
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2023-12-11 21:53:30 +00:00
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SQLAlchemy = ">=1.4,<3"
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requests = "^2"
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PyYAML = ">=5.3"
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numpy = "^1"
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aiohttp = "^3.8.3"
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tenacity = "^8.1.0"
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dataclasses-json = ">= 0.5.7, < 0.7"
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2024-01-22 21:23:11 +00:00
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langsmith = ">=0.0.83,<0.1"
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2023-12-11 21:53:30 +00:00
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tqdm = {version = ">=4.48.0", optional = true}
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openapi-pydantic = {version = "^0.3.2", optional = true}
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faiss-cpu = {version = "^1", optional = true}
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beautifulsoup4 = {version = "^4", optional = true}
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jinja2 = {version = "^3", optional = true}
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cohere = {version = "^4", optional = true}
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openai = {version = "<2", optional = true}
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arxiv = {version = "^1.4", optional = true}
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pypdf = {version = "^3.4.0", optional = true}
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aleph-alpha-client = {version="^2.15.0", optional = true}
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2023-12-19 16:46:33 +00:00
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gradientai = {version="^1.4.0", optional = true}
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2023-12-11 21:53:30 +00:00
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pgvector = {version = "^0.1.6", optional = true}
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atlassian-python-api = {version = "^3.36.0", optional=true}
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html2text = {version="^2020.1.16", optional=true}
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numexpr = {version="^2.8.6", optional=true}
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jq = {version = "^1.4.1", optional = true}
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pdfminer-six = {version = "^20221105", optional = true}
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lxml = {version = "^4.9.2", optional = true}
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pymupdf = {version = "^1.22.3", optional = true}
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rapidocr-onnxruntime = {version = "^1.3.2", optional = true, python = ">=3.8.1,<3.12"}
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pypdfium2 = {version = "^4.10.0", optional = true}
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gql = {version = "^3.4.1", optional = true}
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pandas = {version = "^2.0.1", optional = true}
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telethon = {version = "^1.28.5", optional = true}
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chardet = {version="^5.1.0", optional=true}
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requests-toolbelt = {version = "^1.0.0", optional = true}
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scikit-learn = {version = "^1.2.2", optional = true}
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py-trello = {version = "^0.19.0", optional = true}
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bibtexparser = {version = "^1.4.0", optional = true}
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pyspark = {version = "^3.4.0", optional = true}
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mwparserfromhell = {version = "^0.6.4", optional = true}
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mwxml = {version = "^0.3.3", optional = true}
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esprima = {version = "^4.0.1", optional = true}
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streamlit = {version = "^1.18.0", optional = true, python = ">=3.8.1,<3.9.7 || >3.9.7,<4.0"}
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psychicapi = {version = "^0.8.0", optional = true}
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cassio = {version = "^0.1.0", optional = true}
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sympy = {version = "^1.12", optional = true}
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rapidfuzz = {version = "^3.1.1", optional = true}
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jsonschema = {version = ">1", optional = true}
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rank-bm25 = {version = "^0.2.2", optional = true}
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geopandas = {version = "^0.13.1", optional = true}
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gitpython = {version = "^3.1.32", optional = true}
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feedparser = {version = "^6.0.10", optional = true}
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newspaper3k = {version = "^0.2.8", optional = true}
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xata = {version = "^1.0.0a7", optional = true}
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xmltodict = {version = "^0.13.0", optional = true}
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markdownify = {version = "^0.11.6", optional = true}
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assemblyai = {version = "^0.17.0", optional = true}
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dashvector = {version = "^1.0.1", optional = true}
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sqlite-vss = {version = "^0.1.2", optional = true}
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motor = {version = "^3.3.1", optional = true}
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timescale-vector = {version = "^0.0.1", optional = true}
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typer = {version= "^0.9.0", optional = true}
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anthropic = {version = "^0.3.11", optional = true}
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aiosqlite = {version = "^0.19.0", optional = true}
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rspace_client = {version = "^2.5.0", optional = true}
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upstash-redis = {version = "^0.15.0", optional = true}
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google-cloud-documentai = {version = "^2.20.1", optional = true}
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fireworks-ai = {version = "^0.9.0", optional = true}
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javelin-sdk = {version = "^0.1.8", optional = true}
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hologres-vector = {version = "^0.0.6", optional = true}
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praw = {version = "^7.7.1", optional = true}
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msal = {version = "^1.25.0", optional = true}
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databricks-vectorsearch = {version = "^0.21", optional = true}
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dgml-utils = {version = "^0.3.0", optional = true}
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datasets = {version = "^2.15.0", optional = true}
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2023-12-22 00:40:27 +00:00
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azure-ai-documentintelligence = {version = "^1.0.0b1", optional = true}
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2023-12-20 19:52:20 +00:00
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oracle-ads = {version = "^2.9.1", optional = true}
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community: Integration of New Chat Model Based on ChatGLM3 via ZhipuAI API (#15105)
- **Description:**
- This PR introduces a significant enhancement to the LangChain project
by integrating a new chat model powered by the third-generation base
large model, ChatGLM3, via the zhipuai API.
- This advanced model supports functionalities like function calls, code
interpretation, and intelligent Agent capabilities.
- The additions include the chat model itself, comprehensive
documentation in the form of Python notebook docs, and thorough testing
with both unit and integrated tests.
- **Dependencies:** This update relies on the ZhipuAI package as a key
dependency.
- **Twitter handle:** If this PR receives spotlight attention, we would
be honored to receive a mention for our integration of the advanced
ChatGLM3 model via the ZhipuAI API. Kindly tag us at @kaiwu.
To ensure quality and standards, we have performed extensive linting and
testing. Commands such as make format, make lint, and make test have
been run from the root of the modified package to ensure compliance with
LangChain's coding standards.
TO DO: Continue refining and enhancing both the unit tests and
integrated tests.
---------
Co-authored-by: jing <jingguo92@gmail.com>
Co-authored-by: hyy1987 <779003812@qq.com>
Co-authored-by: jianchuanqi <qijianchuan@hotmail.com>
Co-authored-by: lirq <whuclarence@gmail.com>
Co-authored-by: whucalrence <81530213+whucalrence@users.noreply.github.com>
Co-authored-by: Jing Guo <48378126+JaneCrystall@users.noreply.github.com>
2024-01-01 23:17:03 +00:00
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zhipuai = {version = "^1.0.7", optional = true}
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2024-01-22 18:52:20 +00:00
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elasticsearch = {version = "^8.12.0", optional = true}
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2024-01-24 22:05:07 +00:00
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hdbcli = {version = "^2.19.21", optional = true}
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community[minor]: Add OCI Generative AI integration (#16548)
<!-- Thank you for contributing to LangChain!
Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
modified.
Replace this entire comment with:
- **Description:** Adding Oracle Cloud Infrastructure Generative AI
integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully
managed service that provides a set of state-of-the-art, customizable
large language models (LLMs) that cover a wide range of use cases, and
which is available through a single API. Using the OCI Generative AI
service you can access ready-to-use pretrained models, or create and
host your own fine-tuned custom models based on your own data on
dedicated AI clusters.
https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm
- **Issue:** None,
- **Dependencies:** OCI Python SDK,
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` from the root
of the package you've modified to check this locally.
Passed
See contribution guidelines for more information on how to write/run
tests, lint, etc: https://python.langchain.com/docs/contributing/
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.
we provide unit tests. However, we cannot provide integration tests due
to Oracle policies that prohibit public sharing of api keys.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
---------
Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-01-25 02:23:50 +00:00
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oci = {version = "^2.119.1", optional = true}
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2023-12-11 21:53:30 +00:00
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[tool.poetry.group.test]
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optional = true
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[tool.poetry.group.test.dependencies]
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# The only dependencies that should be added are
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# dependencies used for running tests (e.g., pytest, freezegun, response).
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# Any dependencies that do not meet that criteria will be removed.
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pytest = "^7.3.0"
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pytest-cov = "^4.0.0"
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pytest-dotenv = "^0.5.2"
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duckdb-engine = "^0.9.2"
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pytest-watcher = "^0.2.6"
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freezegun = "^1.2.2"
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responses = "^0.22.0"
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pytest-asyncio = "^0.20.3"
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lark = "^1.1.5"
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pandas = "^2.0.0"
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pytest-mock = "^3.10.0"
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pytest-socket = "^0.6.0"
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syrupy = "^4.0.2"
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requests-mock = "^1.11.0"
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langchain-core = {path = "../core", develop = true}
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[tool.poetry.group.codespell]
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optional = true
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[tool.poetry.group.codespell.dependencies]
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codespell = "^2.2.0"
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[tool.poetry.group.test_integration]
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optional = true
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[tool.poetry.group.test_integration.dependencies]
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# Do not add dependencies in the test_integration group
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# Instead:
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# 1. Add an optional dependency to the main group
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# poetry add --optional [package name]
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# 2. Add the package name to the extended_testing extra (find it below)
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# 3. Relock the poetry file
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# poetry lock --no-update
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# 4. Favor unit tests not integration tests.
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# Use the @pytest.mark.requires(pkg_name) decorator in unit_tests.
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# Your tests should not rely on network access, as it prevents other
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# developers from being able to easily run them.
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# Instead write unit tests that use the `responses` library or mock.patch with
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# fixtures. Keep the fixtures minimal.
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2023-12-17 20:55:49 +00:00
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# See Contributing Guide for more instructions on working with optional dependencies.
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# https://python.langchain.com/docs/contributing/code#working-with-optional-dependencies
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2023-12-11 21:53:30 +00:00
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pytest-vcr = "^1.0.2"
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wrapt = "^1.15.0"
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openai = "^1"
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python-dotenv = "^1.0.0"
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cassio = "^0.1.0"
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2024-01-05 23:03:28 +00:00
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tiktoken = ">=0.3.2,<0.6.0"
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2023-12-11 21:53:30 +00:00
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anthropic = "^0.3.11"
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langchain-core = { path = "../core", develop = true }
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fireworks-ai = "^0.9.0"
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boto3 = ">=1.28.57,<2"
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google-cloud-aiplatform = ">=1.37.0,<2"
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[tool.poetry.group.lint]
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optional = true
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[tool.poetry.group.lint.dependencies]
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ruff = "^0.1.5"
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[tool.poetry.group.typing.dependencies]
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mypy = "^0.991"
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types-pyyaml = "^6.0.12.2"
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types-requests = "^2.28.11.5"
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types-toml = "^0.10.8.1"
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types-pytz = "^2023.3.0.0"
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types-chardet = "^5.0.4.6"
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types-redis = "^4.3.21.6"
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mypy-protobuf = "^3.0.0"
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langchain-core = {path = "../core", develop = true}
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[tool.poetry.group.dev]
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optional = true
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[tool.poetry.group.dev.dependencies]
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jupyter = "^1.0.0"
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setuptools = "^67.6.1"
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langchain-core = {path = "../core", develop = true}
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[tool.poetry.extras]
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cli = ["typer"]
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# An extra used to be able to add extended testing.
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# Please use new-line on formatting to make it easier to add new packages without
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# merge-conflicts
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extended_testing = [
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"aleph-alpha-client",
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"aiosqlite",
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"assemblyai",
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"beautifulsoup4",
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"bibtexparser",
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"cassio",
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"chardet",
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"datasets",
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"google-cloud-documentai",
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"esprima",
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"jq",
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"pdfminer-six",
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"pgvector",
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"pypdf",
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"pymupdf",
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"pypdfium2",
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"tqdm",
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"lxml",
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"atlassian-python-api",
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"mwparserfromhell",
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"mwxml",
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"msal",
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"pandas",
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"telethon",
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"psychicapi",
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"gql",
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2023-12-19 16:46:33 +00:00
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"gradientai",
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2023-12-11 21:53:30 +00:00
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"requests-toolbelt",
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"html2text",
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"numexpr",
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"py-trello",
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"scikit-learn",
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"streamlit",
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"pyspark",
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"openai",
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"sympy",
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"rapidfuzz",
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"jsonschema",
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"rank-bm25",
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"geopandas",
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"jinja2",
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"gitpython",
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"newspaper3k",
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"feedparser",
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"xata",
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"xmltodict",
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"faiss-cpu",
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"openapi-pydantic",
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"markdownify",
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"arxiv",
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"dashvector",
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"sqlite-vss",
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"rapidocr-onnxruntime",
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"motor",
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"timescale-vector",
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"anthropic",
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"upstash-redis",
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"rspace_client",
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"fireworks-ai",
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"javelin-sdk",
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"hologres-vector",
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"praw",
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"databricks-vectorsearch",
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"dgml-utils",
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"cohere",
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2023-12-22 00:40:27 +00:00
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"azure-ai-documentintelligence",
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2023-12-20 19:52:20 +00:00
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"oracle-ads",
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community: Integration of New Chat Model Based on ChatGLM3 via ZhipuAI API (#15105)
- **Description:**
- This PR introduces a significant enhancement to the LangChain project
by integrating a new chat model powered by the third-generation base
large model, ChatGLM3, via the zhipuai API.
- This advanced model supports functionalities like function calls, code
interpretation, and intelligent Agent capabilities.
- The additions include the chat model itself, comprehensive
documentation in the form of Python notebook docs, and thorough testing
with both unit and integrated tests.
- **Dependencies:** This update relies on the ZhipuAI package as a key
dependency.
- **Twitter handle:** If this PR receives spotlight attention, we would
be honored to receive a mention for our integration of the advanced
ChatGLM3 model via the ZhipuAI API. Kindly tag us at @kaiwu.
To ensure quality and standards, we have performed extensive linting and
testing. Commands such as make format, make lint, and make test have
been run from the root of the modified package to ensure compliance with
LangChain's coding standards.
TO DO: Continue refining and enhancing both the unit tests and
integrated tests.
---------
Co-authored-by: jing <jingguo92@gmail.com>
Co-authored-by: hyy1987 <779003812@qq.com>
Co-authored-by: jianchuanqi <qijianchuan@hotmail.com>
Co-authored-by: lirq <whuclarence@gmail.com>
Co-authored-by: whucalrence <81530213+whucalrence@users.noreply.github.com>
Co-authored-by: Jing Guo <48378126+JaneCrystall@users.noreply.github.com>
2024-01-01 23:17:03 +00:00
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"zhipuai",
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2024-01-22 18:52:20 +00:00
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"elasticsearch",
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2024-01-24 22:05:07 +00:00
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"hdbcli",
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community[minor]: Add OCI Generative AI integration (#16548)
<!-- Thank you for contributing to LangChain!
Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
modified.
Replace this entire comment with:
- **Description:** Adding Oracle Cloud Infrastructure Generative AI
integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully
managed service that provides a set of state-of-the-art, customizable
large language models (LLMs) that cover a wide range of use cases, and
which is available through a single API. Using the OCI Generative AI
service you can access ready-to-use pretrained models, or create and
host your own fine-tuned custom models based on your own data on
dedicated AI clusters.
https://docs.oracle.com/en-us/iaas/Content/generative-ai/home.htm
- **Issue:** None,
- **Dependencies:** OCI Python SDK,
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` from the root
of the package you've modified to check this locally.
Passed
See contribution guidelines for more information on how to write/run
tests, lint, etc: https://python.langchain.com/docs/contributing/
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.
we provide unit tests. However, we cannot provide integration tests due
to Oracle policies that prohibit public sharing of api keys.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
---------
Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-01-25 02:23:50 +00:00
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"oci"
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2023-12-11 21:53:30 +00:00
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]
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[tool.ruff]
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select = [
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"E", # pycodestyle
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"F", # pyflakes
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"I", # isort
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]
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exclude = [
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"tests/examples/non-utf8-encoding.py",
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"tests/integration_tests/examples/non-utf8-encoding.py",
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]
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[tool.mypy]
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ignore_missing_imports = "True"
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disallow_untyped_defs = "True"
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exclude = ["notebooks", "examples", "example_data"]
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[tool.coverage.run]
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omit = [
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"tests/*",
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]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.pytest.ini_options]
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# --strict-markers will raise errors on unknown marks.
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# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks
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#
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# https://docs.pytest.org/en/7.1.x/reference/reference.html
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# --strict-config any warnings encountered while parsing the `pytest`
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# section of the configuration file raise errors.
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#
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# https://github.com/tophat/syrupy
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# --snapshot-warn-unused Prints a warning on unused snapshots rather than fail the test suite.
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addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
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# Registering custom markers.
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# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers
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markers = [
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"requires: mark tests as requiring a specific library",
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"scheduled: mark tests to run in scheduled testing",
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"compile: mark placeholder test used to compile integration tests without running them"
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]
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asyncio_mode = "auto"
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[tool.codespell]
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skip = '.git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,example_data,_dist,examples'
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# Ignore latin etc
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ignore-regex = '.*(Stati Uniti|Tense=Pres).*'
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# whats is a typo but used frequently in queries so kept as is
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# aapply - async apply
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# unsecure - typo but part of API, decided to not bother for now
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ignore-words-list = 'momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogyny,unsecure,damon,crate,aadd,symbl,precesses,accademia,nin'
|
