langchain

Commit Graph

Author	SHA1	Message	Date
maang-h	1028af17e7	docs: Standardize Tongyi (#25103 ) - Description: Standardize Tongyi LLM，include: - docs, the issue #24803 - model init arg names, the issue #20085	2 months ago
Dobiichi-Origami	061ed250f6	delete the default model value from langchain and discard the need fo… (#24915 ) - description: I remove the limitation of mandatory existence of `QIANFAN_AK` and default model name which langchain uses cause there is already a default model nama underlying `qianfan` SDK powering langchain component. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
ZhangShenao	cda79dbb6c	community[patch]: Optimize test case for `MoonshotChat` (#25050 ) Optimize test case for `MoonshotChat`. Use standard ChatModelIntegrationTests.	2 months ago
maang-h	f5da0d6d87	docs: Standardize MiniMaxEmbeddings (#24983 ) - Description: Standardize MiniMaxEmbeddings - docs, the issue #24856 - model init arg names, the issue #20085	2 months ago
Bagatur	8e2316b8c2	community[patch]: Release 0.2.11 (#24989 )	2 months ago
ZhangShenao	71c0564c9f	community[patch]: Add test case for MoonshotChat (#24960 ) Add test case for `MoonshotChat`.	2 months ago
Eugene Yurtsev	d24b82357f	community[patch]: Add missing annotations (#24890 ) This PR adds annotations in comunity package. Annotations are only strictly needed in subclasses of BaseModel for pydantic 2 compatibility. This PR adds some unnecessary annotations, but they're not bad to have regardless for documentation pages.	2 months ago
TrumanYan	096b66db4a	community: replace it with Tencent Cloud SDK (#24172 ) Description: The old method will be discontinued; use the official SDK for more model options. Issue: None Dependencies: None Twitter handle: None Co-authored-by: trumanyan <trumanyan@tencent.com>	2 months ago
Anush	51b15448cc	community: Fix FastEmbedEmbeddings (#24462 ) ## Description This PR: - Fixes the validation error in `FastEmbedEmbeddings`. - Adds support for `batch_size`, `parallel` params. - Removes support for very old FastEmbed versions. - Updates the FastEmbed doc with the new params. Associated Issues: - Resolves #24039 - Resolves #https://github.com/qdrant/fastembed/issues/296	2 months ago
Igor Drozdov	c2706cfb9e	feat(community): add tools support for litellm (#23906 ) I used the following example to validate the behavior ```python from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import ConfigurableField from langchain_anthropic import ChatAnthropic from langchain_community.chat_models import ChatLiteLLM from langchain_core.tools import tool from langchain.agents import create_tool_calling_agent, AgentExecutor @tool def multiply(x: float, y: float) -> float: """Multiply 'x' times 'y'.""" return x * y @tool def exponentiate(x: float, y: float) -> float: """Raise 'x' to the 'y'.""" return x**y @tool def add(x: float, y: float) -> float: """Add 'x' and 'y'.""" return x + y prompt = ChatPromptTemplate.from_messages([ ("system", "you're a helpful assistant"), ("human", "{input}"), ("placeholder", "{agent_scratchpad}"), ]) tools = [multiply, exponentiate, add] llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0) # llm = ChatLiteLLM(model="claude-3-sonnet-20240229", temperature=0) agent = create_tool_calling_agent(llm, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what's 3 plus 5 raised to the 2.743. also what's 17.24 - 918.1241", }) ``` `ChatAnthropic` version works: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: [{'text': 'To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:', 'type': 'text', 'index': 0}, {'id': 'toolu_01Gf54DFTkfLMJQX3TXffmxe', 'input': {}, 'name': 'exponentiate', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 5, "y": 2.743}'}] 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` responded: [{'id': 'toolu_01XUq9S56GT3Yv2N1KmNmmWp', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 0, 'partial_json': '{"x": 3, "y": 82.65606421491815}'}] 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: [{'text': '\n\nSo 3 + 5^2.743 = 85.66\n\nTo calculate 17.24 - 918.1241, we can use:', 'type': 'text', 'index': 0}, {'id': 'toolu_01BkXTwP7ec9JKYtZPy5JKjm', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 17.24, "y": -918.1241}'}] -900.8841[{'text': '\n\nTherefore, 17.24 - 918.1241 = -900.88', 'type': 'text', 'index': 0}] > Finished chain. ``` While `ChatLiteLLM` version doesn't. But with the changes in this PR, along with: - https://github.com/langchain-ai/langchain/pull/23823 - https://github.com/BerriAI/litellm/pull/4554 The result is _almost_ the same: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools: 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: So 3 + 5^2.743 = 85.66 To calculate 17.24 - 918.1241, we can use: -900.8841 Therefore, 17.24 - 918.1241 = -900.88 > Finished chain. ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
maang-h	4bb1a11e02	community: Add MiniMaxChat bind_tools and structured output (#24310 ) - Description: - Add `bind_tools` method to support tool calling - Add `with_structured_output` method to support structured output	2 months ago
maang-h	bf685c242f	docs: Standardize QianfanEmbeddingsEndpoint (#24786 ) - Description: Standardize QianfanEmbeddingsEndpoint, include: - docstrings, the issue #21983 - model init arg names, the issue #20085	2 months ago
Chaunte W. Lacewell	69eacaa887	Community[minor]: Update VDMS vectorstore (#23729 ) Description: - This PR exposes some functions in VDMS vectorstore, updates VDMS related notebooks, updates tests, and upgrade version of VDMS (>=0.0.20) Issue: N/A Dependencies: - Update vdms>=0.0.20	2 months ago
Aayush Kataria	0f45ac4088	LangChain Community: VectorStores: Azure Cosmos DB Filtered Vector Search (#24087 ) Thank you for contributing to LangChain! - This PR adds vector search filtering for Azure Cosmos DB Mongo vCore and NoSQL. - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: 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. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Alexander Golodkov	2a70a07aad	community[minor]: added new document loaders based on dedoc library (#24303 ) ### Description This pull request added new document loaders to load documents of various formats using [Dedoc](https://github.com/ispras/dedoc): - `DedocFileLoader` (determine file types automatically and parse) - `DedocPDFLoader` (for `PDF` and images parsing) - `DedocAPIFileLoader` (determine file types automatically and parse using Dedoc API without library installation) [Dedoc](https://dedoc.readthedocs.io) is an open-source library/service that extracts texts, tables, attached files and document structure (e.g., titles, list items, etc.) from files of various formats. The library is actively developed and maintained by a group of developers. `Dedoc` supports `DOCX`, `XLSX`, `PPTX`, `EML`, `HTML`, `PDF`, images and more. Full list of supported formats can be found [here](https://dedoc.readthedocs.io/en/latest/#id1). For `PDF` documents, `Dedoc` allows to determine textual layer correctness and split the document into paragraphs. ### Issue This pull request extends variety of document loaders supported by `langchain_community` allowing users to choose the most suitable option for raw documents parsing. ### Dependencies The PR added a new (optional) dependency `dedoc>=2.2.5` ([library documentation](https://dedoc.readthedocs.io)) to the `extended_testing_deps.txt` ### Twitter handle None ### Add tests and docs 1. Test for the integration: `libs/community/tests/integration_tests/document_loaders/test_dedoc.py` 2. Example notebook: `docs/docs/integrations/document_loaders/dedoc.ipynb` 3. Information about the library: `docs/docs/integrations/providers/dedoc.mdx` ### Lint and test Done locally: - `make format` - `make lint` - `make integration_tests` - `make docs_build` (from the project root) --------- Co-authored-by: Nasty <bogatenkova.anastasiya@mail.ru>	2 months ago
maang-h	721f709dec	community: Improve QianfanChatEndpoint tool result to model (#24466 ) - Description: `QianfanChatEndpoint` When using tool result to answer questions, the content of the tool is required to be in Dict format. Of course, this can require users to return Dict format when calling the tool, but in order to be consistent with other Chat Models, I think such modifications are necessary.	2 months ago
ccurme	dcba7df2fe	community[patch]: deprecate langchain_community Chroma in favor of langchain_chroma (#24474 )	2 months ago
ZhangShenao	0f6737cbfe	[Vector Store] Fix function `add_texts` in `TencentVectorDB` (#24469 ) Regardless of whether `embedding_func` is set or not, the 'text' attribute of document should be assigned, otherwise the `page_content` in the document of the final search result will be lost	2 months ago
maang-h	7b28359719	docs: Add ChatSparkLLM docstrings (#24449 ) - Description: - Add `ChatSparkLLM` docstrings, the issue #22296 - To support `stream` method	2 months ago
Philippe PRADOS	f5856680fe	community[minor]: add mongodb byte store (#23876 ) The `MongoDBStore` can manage only documents. It's not possible to use MongoDB for an `CacheBackedEmbeddings`. With this new implementation, it's possible to use: ```python CacheBackedEmbeddings.from_bytes_store( underlying_embeddings=embeddings, document_embedding_cache=MongoDBByteStore( connection_string=db_uri, db_name=db_name, collection_name=collection_name, ), ) ``` and use MongoDB to cache the embeddings !	2 months ago
Ben Chambers	3691701d58	community[minor]: Add keybert-based link extractor (#24311 ) - Description: Add a `KeybertLinkExtractor` for graph vectorstores. This allows extracting links from keywords in a Document and linking nodes that have common keywords. - Issue: None - Dependencies: None. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Ben Chambers	83f3d95ffa	community[minor]: GLiNER link extraction (#24314 ) - Description: This allows extracting links between documents with common named entities using [GLiNER](https://github.com/urchade/GLiNER). - Issue: None - Dependencies: None --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Anas Khan	b5acb91080	Mask API keys for various LLM/ChatModel Modules (#13885 ) Description: - Added masking of the API Keys for the modules: - `langchain/chat_models/openai.py` - `langchain/llms/openai.py` - `langchain/llms/google_palm.py` - `langchain/chat_models/google_palm.py` - `langchain/llms/edenai.py` - Updated the modules to utilize `SecretStr` from pydantic to securely manage API key. - Added unit/integration tests - `langchain/chat_models/asure_openai.py` used the `open_api_key` that is derived from the `ChatOpenAI` Class and it was assuming `openai_api_key` is a str so we changed it to expect `SecretStr` instead. Issue: https://github.com/langchain-ai/langchain/issues/12165 , Dependencies: none, Tag maintainer: @eyurtsev --------- Co-authored-by: HassanA01 <anikeboss@gmail.com> Co-authored-by: Aneeq Hassan <aneeq.hassan@utoronto.ca> Co-authored-by: kristinspenc <kristinspenc2003@gmail.com> Co-authored-by: faisalt14 <faisalt14@gmail.com> Co-authored-by: Harshil-Patel28 <76663814+Harshil-Patel28@users.noreply.github.com> Co-authored-by: kristinspenc <146893228+kristinspenc@users.noreply.github.com> Co-authored-by: faisalt14 <90787271+faisalt14@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Brice Fotzo	034a8c7c1b	community: support advanced text extraction options for pdf documents (#20265 ) Description: - Updated constructors in PyPDFParser and PyPDFLoader to handle `extraction_mode` and additional kwargs, aligning with the capabilities of `PageObject.extract_text()` from pypdf. - Added `test_pypdf_loader_with_layout` along with a corresponding example text file to validate layout extraction from PDFs. Issue: fixes #19735 Dependencies: This change requires updating the pypdf dependency from version 3.4.0 to at least 4.0.0. Additional changes include the addition of a new test test_pypdf_loader_with_layout and an example text file to ensure the functionality of layout extraction from PDFs aligns with the new capabilities. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Rafael Pereira	cf28708e7b	Neo4j: Update with non-deprecated cypher methods, and new method to associate relationship embeddings (#23725 ) Description: At the moment neo4j wrapper is using setVectorProperty, which is deprecated ([link](https://neo4j.com/docs/operations-manual/5/reference/procedures/#procedure_db_create_setVectorProperty)). I replaced with the non-deprecated version. Neo4j recently introduced a new cypher method to associate embeddings into relations using "setRelationshipVectorProperty" method. In this PR I also implemented a new method to perform this association maintaining the same format used in the "add_embeddings" method which is used to associate embeddings into Nodes. I also included a test case for this new method.	2 months ago
Rafael Pereira	fc41730e28	neo4j: Fix test for order-insensitive comparison and floating-point precision issues (#24338 ) Description: This PR addresses two main issues in the `test_neo4jvector.py`: 1. Order-insensitive Comparison: Modified the `test_retrieval_dictionary` to ensure that it passes regardless of the order of returned values by parsing `page_content` into a structured format (dictionary) before comparison. 2. Floating-point Precision: Updated `test_neo4jvector_relevance_score` to handle minor floating-point precision differences by using the `isclose` function for comparing relevance scores with a relative tolerance. Errors addressed: - test_neo4jvector_relevance_score: ``` AssertionError: assert [(Document(page_content='foo', metadata={'page': '0'}), 1.0000014305114746), (Document(page_content='bar', metadata={'page': '1'}), 0.9998371005058289), (Document(page_content='baz', metadata={'page': '2'}), 0.9993508458137512)] == [(Document(page_content='foo', metadata={'page': '0'}), 1.0), (Document(page_content='bar', metadata={'page': '1'}), 0.9998376369476318), (Document(page_content='baz', metadata={'page': '2'}), 0.9993523359298706)] At index 0 diff: (Document(page_content='foo', metadata={'page': '0'}), 1.0000014305114746) != (Document(page_content='foo', metadata={'page': '0'}), 1.0) Full diff: - [(Document(page_content='foo', metadata={'page': '0'}), 1.0), + [(Document(page_content='foo', metadata={'page': '0'}), 1.0000014305114746), ? +++++++++++++++ - (Document(page_content='bar', metadata={'page': '1'}), 0.9998376369476318), ? ^^^ ------ + (Document(page_content='bar', metadata={'page': '1'}), 0.9998371005058289), ? ^^^^^^^^^ - (Document(page_content='baz', metadata={'page': '2'}), 0.9993523359298706), ? ---------- + (Document(page_content='baz', metadata={'page': '2'}), 0.9993508458137512), ? ++++++++++ ] ``` - test_retrieval_dictionary: ``` AssertionError: assert [Document(page_content='skills:\n- Python\n- Data Analysis\n- Machine Learning\nname: John\nage: 30\n')] == [Document(page_content='skills:\n- Python\n- Data Analysis\n- Machine Learning\nage: 30\nname: John\n')] At index 0 diff: Document(page_content='skills:\n- Python\n- Data Analysis\n- Machine Learning\nname: John\nage: 30\n') != Document(page_content='skills:\n- Python\n- Data Analysis\n- Machine Learning\nage: 30\nname: John\n') Full diff: - [Document(page_content='skills:\n- Python\n- Data Analysis\n- Machine Learning\nage: 30\nname: John\n')] ? --------- + [Document(page_content='skills:\n- Python\n- Data Analysis\n- Machine Learning\nage: John\nage: 30\n')] ? +++++++++ ```	2 months ago
bovlb	5caa381177	community[minor]: Add ApertureDB as a vectorstore (#24088 ) Thank you for contributing to LangChain! - [X] ApertureDB as vectorstore: "community: Add ApertureDB as a vectorestore" - Description:* this change provides a new community integration that uses ApertureData's ApertureDB as a vector store. - Issue: none - Dependencies: depends on ApertureDB Python SDK - Twitter handle: ApertureData - [X] Add tests and docs: 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. Integration tests rely on a local run of a public docker image. Example notebook additionally relies on a local Ollama server. - [X] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ All lint tests pass. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Gautam <gautam@aperturedata.io>	2 months ago
maang-h	6c7d9f93b9	feat: Add ChatTongyi structured output (#24187 ) - Description: Add `with_structured_output` method to ChatTongyi to support structured output.	2 months ago
maang-h	9d97de34ae	community[patch]: Improve ChatBaichuan init args and role (#23878 ) - Description: Improve ChatBaichuan init args and role - ChatBaichuan adds `system` role - alias: `baichuan_api_base` -> `base_url` - `with_search_enhance` is deprecated - Add `max_tokens` argument	2 months ago
Harold Martin	ccdaf14eff	docs: Spell check fixes (#24217 ) Description: Spell check fixes for docs, comments, and a couple of strings. No code change e.g. variable names. Issue: none Dependencies: none Twitter handle: hmartin	2 months ago
Eugene Yurtsev	2c180d645e	core[minor],community[minor]: Upgrade all @root_validator() to @pre_init (#23841 ) This PR introduces a @pre_init decorator that's a @root_validator(pre=True) but with all the defaults populated!	3 months ago
Christophe Bornet	42d049f618	core[minor]: Add Graph Store component (#23092 ) This PR introduces a GraphStore component. GraphStore extends VectorStore with the concept of links between documents based on document metadata. This allows linking documents based on a variety of techniques, including common keywords, explicit links in the content, and other patterns. This works with existing Documents, so it’s easy to extend existing VectorStores to be used as GraphStores. The interface can be implemented for any Vector Store technology that supports metadata, not only graph DBs. When retrieving documents for a given query, the first level of search is done using classical similarity search. Next, links may be followed using various traversal strategies to get additional documents. This allows documents to be retrieved that aren’t directly similar to the query but contain relevant information. 2 retrieving methods are added to the VectorStore ones : * traversal_search which gets all linked documents up to a certain depth * mmr_traversal_search which selects linked documents using an MMR algorithm to have more diverse results. If a depth of retrieval of 0 is used, GraphStore is effectively a VectorStore. It enables an easy transition from a simple VectorStore to GraphStore by adding links between documents as a second step. An implementation for Apache Cassandra is also proposed. See https://github.com/datastax/ragstack-ai/blob/main/libs/knowledge-store/notebooks/astra_support.ipynb for a notebook explaining how to use GraphStore and that shows that it can answer correctly to questions that a simple VectorStore cannot. Twitter handle: _cbornet	3 months ago
André Quintino	99b1467b63	community: add support for 'cloud' parameter in JiraAPIWrapper (#23057 ) - Description: Enhance JiraAPIWrapper to accept the 'cloud' parameter through an environment variable. This update allows more flexibility in configuring the environment for the Jira API. - Twitter handle: Andre_Q_Pereira --------- Co-authored-by: André Quintino <andre.quintino@tui.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
volodymyr-memsql	a4eb6d0fb1	community: add SingleStoreDB semantic cache (#23218 ) This PR adds a `SingleStoreDBSemanticCache` class that implements a cache based on SingleStoreDB vector store, integration tests, and a notebook example. Additionally, this PR contains minor changes to SingleStoreDB vector store: - change add texts/documents methods to return a list of inserted ids - implement delete(ids) method to delete documents by list of ids - added drop() method to drop a correspondent database table - updated integration tests to use and check functionality implemented above CC: @baskaryan, @hwchase17 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>	3 months ago
Ikko Eltociear Ashimine	75734fbcf1	community: fix typo in unit tests for test_zenguard.py (#23819 ) enviroment -> environment - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM"	3 months ago
Bagatur	a0c2281540	infra: update mypy 1.10, ruff 0.5 (#23721 ) ```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/*/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.)\:(\d+)\: error:.\[(.)\]", l): path, line_no, error_type = re.match( "^(.)\:(\d+)\: error:.\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```	3 months ago
maang-h	525109e506	feat: Implement ChatBaichuan asynchronous interface (#23589 ) - Description: Add interface to `ChatBaichuan` to support asynchronous requests - `_agenerate` method - `_astream` method --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
maang-h	e4e28a6ff5	community[patch]: Fix MiniMaxChat validate_environment error (#23770 ) - Description: Fix some issues in MiniMaxChat - Fix `minimax_api_host` not in `values` error - Remove `minimax_group_id` from reading environment variables, the `minimax_group_id` no longer use in MiniMaxChat - Invoke callback prior to yielding token, the issus #16913	3 months ago
Nuradil	c93d9e66e4	Community: Update and fix ZenGuardTool docs and add ZenguardTool to init files (#23415 ) Thank you for contributing to LangChain! - [x] PR title: "community: update docs and add tool to init.py" - [x] PR message: - Description: Fixed some errors and comments in the docs and added our ZenGuardTool and additional classes to init.py for easy access when importing - Question: when will you update the langchain-community package in pypi to make our tool available? - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Thank you for review! --------- Co-authored-by: Baur <baur.krykpayev@gmail.com>	3 months ago
Tomaz Bratanic	aeeda370aa	Sanitize backticks from neo4j labels and types for import (#23367 )	3 months ago
Baur	aa358f2be4	community: Add ZenGuard tool (#22959 ) Description This is the community integration of ZenGuard AI - the fastest guardrails for GenAI applications. ZenGuard AI protects against: - Prompts Attacks - Veering of the pre-defined topics - PII, sensitive info, and keywords leakage. - Toxicity - Etc. Twitter Handle : @zenguardai - [x] Add tests and docs: If you're adding a new integration, please include 1. Added an integration test 2. Added colab - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. --------- Co-authored-by: Nuradil <nuradil.maksut@icloud.com> Co-authored-by: Nuradil <133880216+yaksh0nti@users.noreply.github.com>	3 months ago
Mathis Joffre	60103fc4a5	community: Fix OVHcloud 401 Unauthorized on embedding. (#23260 ) They are now rejecting with code 401 calls from users with expired or invalid tokens (while before they were being considered anonymous). Thus, the authorization header has to be removed when there is no token. Related to: #23178 --------- Signed-off-by: Joffref <mariusjoffre@gmail.com>	3 months ago
maang-h	bc4cd9c5cc	community[patch]: Update root_validators ChatModels: ChatBaichuan, QianfanChatEndpoint, MiniMaxChat, ChatSparkLLM, ChatZhipuAI (#22853 ) This PR updates root validators for: - ChatModels: ChatBaichuan, QianfanChatEndpoint, MiniMaxChat, ChatSparkLLM, ChatZhipuAI Issues #22819 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
ccurme	ca798bc6ea	community: move test to integration tests (#23178 ) Tests failing on master with > FAILED tests/unit_tests/embeddings/test_ovhcloud.py::test_ovhcloud_embed_documents - ValueError: Request failed with status code: 401, {"message":"Bad token; invalid JSON"}	3 months ago
Raghav Dixit	55705c0f5e	LanceDB integration update (#22869 ) Added : - [x] relevance search (w/wo scores) - [x] maximal marginal search - [x] image ingestion - [x] filtering support - [x] hybrid search w reranking make test, lint_diff and format checked.	3 months ago
Oguz Vuruskaner	dd25d08c06	community[minor]: add tool calling for DeepInfraChat (#22745 ) DeepInfra now supports tool calling for supported models. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
maang-h	c6b7db6587	community: Add Baichuan Embeddings batch size (#22942 ) - Support batch size Baichuan updates the document, indicating that up to 16 documents can be imported at a time - Standardized model init arg names - baichuan_api_key -> api_key - model_name -> model	3 months ago
Shubham Pandey	56ac94e014	community[minor]: add `ChatSnowflakeCortex` chat model (#21490 ) Description: This PR adds a chat model integration for [Snowflake Cortex](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions), which gives an instant access to industry-leading large language models (LLMs) trained by researchers at companies like Mistral, Reka, Meta, and Google, including [Snowflake Arctic](https://www.snowflake.com/en/data-cloud/arctic/), an open enterprise-grade model developed by Snowflake. Dependencies: Snowflake's [snowpark](https://pypi.org/project/snowflake-snowpark-python/) library is required for using this integration. Twitter handle: [@gethouseware](https://twitter.com/gethouseware) - [x] Add tests and docs: 1. integration tests: `libs/community/tests/integration_tests/chat_models/test_snowflake.py` 2. unit tests: `libs/community/tests/unit_tests/chat_models/test_snowflake.py` 3. example notebook: `docs/docs/integrations/chat/snowflake.ipynb` - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	3 months ago
maang-h	1055b9a309	community[minor]: Implement ZhipuAIEmbeddings interface (#22821 ) - Description: Implement ZhipuAIEmbeddings interface, include: - The `embed_query` method - The `embed_documents` method refer to [ZhipuAI Embedding-2](https://open.bigmodel.cn/dev/api#text_embedding) --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Philippe PRADOS	23c22fcbc9	langchain[minor]: Make EmbeddingsFilters async (#22737 ) Add native async implementation for EmbeddingsFilter	3 months ago

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278 Commits (35ebd2620c56d8a109321d7eb3f7676e20175d69)