4648 Commits (9ac302cb97cbf9392ab8c37309873b069e277176)

Author	SHA1	Message	Date
Eugene Yurtsev	883e90d06e	core[patch]: Add an example to the Document schema doc-string (#23131) ... Add an example to the document schema	3 months ago
ccurme	2b08e9e265	core[patch]: update test to catch circular imports (#23172) ... This raises ImportError due to a circular import: ```python from langchain_core import chat_history ``` This does not: ```python from langchain_core import runnables from langchain_core import chat_history ``` Here we update `test_imports` to run each import in a separate subprocess. Open to other ways of doing this!	3 months ago
Eugene Yurtsev	ae4c0ed25a	core[patch]: Add documentation to load namespace (#23143) ... Document some of the modules within the load namespace	3 months ago
Eugene Yurtsev	a34e650f8b	core[patch]: Add doc-string to document compressor (#23085)	3 months ago
Eugene Yurtsev	1007a715a5	community[patch]: Prevent unit tests from making network requests (#23180) ... * Prevent unit tests from making network requests	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
Eugene Yurtsev	4fe8403bfb	core[patch]: Expand documentation in the indexing namespace (#23134)	3 months ago
Eugene Yurtsev	fe4f10047b	core[patch]: Document embeddings namespace (#23132) ... Document embeddings namespace	3 months ago
Eugene Yurtsev	a3bae56a48	core[patch]: Update documentation in LLM namespace (#23138) ... Update documentation in lllm namespace.	3 months ago
Leonid Ganeline	a70b7a688e	ai21: docstrings (#23142) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference)	3 months ago
bilk0h	3d54784e6d	text-splitters: Fix/recursive json splitter data persistence issue (#21529) ... Thank you for contributing to LangChain! **Description:** Noticed an issue with when I was calling `RecursiveJsonSplitter().split_json()` multiple times that I was getting weird results. I found an issue where `chunks` list in the `_json_split` method. If chunks is not provided when _json_split (which is the case when split_json calls _json_split) then the same list is used for subsequent calls to `_json_split`. You can see this in the test case i also added to this commit. Output should be: ``` [{'a': 1, 'b': 2}] [{'c': 3, 'd': 4}] ``` Instead you get: ``` [{'a': 1, 'b': 2}] [{'a': 1, 'b': 2, 'c': 3, 'd': 4}] ``` --------- Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
鹿鹿鹿鲨	6b46b5e9ce	community: add **request_kwargs and expect TimeError AsyncHtmlLoader (#23068) ... - **Description:** add `**request_kwargs` and expect `TimeError` in `_fetch` function for AsyncHtmlLoader. This allows you to fill in the kwargs parameter when using the `load()` method of the `AsyncHtmlLoader` class. Co-authored-by: Yucolu <yucolu@tencent.com>	3 months ago
Leonid Ganeline	109a70fc64	ibm: docstrings (#23149) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference)	3 months ago
Ryan Elston	86ee4f0daa	text-splitters: Introduce Experimental Markdown Syntax Splitter (#22257) ... #### Description This MR defines a `ExperimentalMarkdownSyntaxTextSplitter` class. The main goal is to replicate the functionality of the original `MarkdownHeaderTextSplitter` which extracts the header stack as metadata but with one critical difference: it keeps the whitespace of the original text intact. This draft reimplements the `MarkdownHeaderTextSplitter` with a very different algorithmic approach. Instead of marking up each line of the text individually and aggregating them back together into chunks, this method builds each chunk sequentially and applies the metadata to each chunk. This makes the implementation simpler. However, since it's designed to keep white space intact its not a full drop in replacement for the original. Since it is a radical implementation change to the original code and I would like to get feedback to see if this is a worthwhile replacement, should be it's own class, or is not a good idea at all. Note: I implemented the `return_each_line` parameter but I don't think it's a necessary feature. I'd prefer to remove it. This implementation also adds the following additional features: - Splits out code blocks and includes the language in the `"Code"` metadata key - Splits text on the horizontal rule `---` as well - The `headers_to_split_on` parameter is now optional - with sensible defaults that can be overridden. #### Issue Keeping the whitespace keeps the paragraphs structure and the formatting of the code blocks intact which allows the caller much more flexibility in how they want to further split the individuals sections of the resulting documents. This addresses the issues brought up by the community in the following issues: - https://github.com/langchain-ai/langchain/issues/20823 - https://github.com/langchain-ai/langchain/issues/19436 - https://github.com/langchain-ai/langchain/issues/22256 #### Dependencies N/A #### Twitter handle @RyanElston --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	3 months ago
Bagatur	93d0ad97fe	anthropic[patch]: test image input (#23155)	3 months ago
Leonid Ganeline	3dfd055411	anthropic: docstrings (#23145) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference)	3 months ago
Bagatur	90559fde70	openai[patch], standard-tests[patch]: don't pass in falsey stop vals (#23153) ... adds an image input test to standard-tests as well	3 months ago
Bagatur	e8a8286012	core[patch]: runnablewithchathistory from core.runnables (#23136)	3 months ago
Vadym Barda	b483bf5095	core[minor]: handle boolean data in draw_mermaid (#23135) ... This change should address graph rendering issues for edges with boolean data Example from langgraph: ```python from typing import Annotated, TypedDict from langchain_core.messages import AnyMessage from langgraph.graph import END, START, StateGraph from langgraph.graph.message import add_messages class State(TypedDict): messages: Annotated[list[AnyMessage], add_messages] def branch(state: State) -> bool: return 1 + 1 == 3 graph_builder = StateGraph(State) graph_builder.add_node("foo", lambda state: {"messages": [("ai", "foo")]}) graph_builder.add_node("bar", lambda state: {"messages": [("ai", "bar")]}) graph_builder.add_conditional_edges( START, branch, path_map={True: "foo", False: "bar"}, then=END, ) app = graph_builder.compile() print(app.get_graph().draw_mermaid()) ``` Previous behavior: ```python AttributeError: 'bool' object has no attribute 'split' ``` Current behavior: ```python %%{init: {'flowchart': {'curve': 'linear'}}}%% graph TD; __start__[__start__]:::startclass; __end__[__end__]:::endclass; foo([foo]):::otherclass; bar([bar]):::otherclass; __start__ -. ('a',) .-> foo; foo --> __end__; __start__ -. ('b',) .-> bar; bar --> __end__; classDef startclass fill:#ffdfba; classDef endclass fill:#baffc9; classDef otherclass fill:#fad7de; ```	3 months ago
Bagatur	093ae04d58	core[patch]: Pin pydantic in py3.12.4 (#23130)	3 months ago
hmasdev	ff0c06b1e5	langchain[patch]: fix `OutputType` of OutputParsers and fix legacy API in OutputParsers (#19792) ... # Description This pull request aims to address specific issues related to the ambiguity and error-proneness of the output types of certain output parsers, as well as the absence of unit tests for some parsers. These issues could potentially lead to runtime errors or unexpected behaviors due to type mismatches when used, causing confusion for developers and users. Through clarifying output types, this PR seeks to improve the stability and reliability. Therefore, this pull request - fixes the `OutputType` of OutputParsers to be the expected type; - e.g. `OutputType` property of `EnumOutputParser` raises `TypeError`. This PR introduce a logic to extract `OutputType` from its attribute. - and fixes the legacy API in OutputParsers like `LLMChain.run` to the modern API like `LLMChain.invoke`; - Note: For `OutputFixingParser`, `RetryOutputParser` and `RetryWithErrorOutputParser`, this PR introduces `legacy` attribute with False as default value in order to keep the backward compatibility - and adds the tests for the `OutputFixingParser` and `RetryOutputParser`. The following table shows my expected output and the actual output of the `OutputType` of OutputParsers. I have used this table to fix `OutputType` of OutputParsers. | Class Name of OutputParser | My Expected `OutputType` (after this PR)| Actual `OutputType` [evidence](#evidence) (before this PR)| Fix Required | |---------|--------------|---------|--------| | BooleanOutputParser | `<class 'bool'>` | `<class 'bool'>` | NO | | CombiningOutputParser | `typing.Dict[str, Any]` | `TypeError` is raised | YES | | DatetimeOutputParser | `<class 'datetime.datetime'>` | `<class 'datetime.datetime'>` | NO | | EnumOutputParser(enum=MyEnum) | `MyEnum` | `TypeError` is raised | YES | | OutputFixingParser | The same type as `self.parser.OutputType` | `~T` | YES | | CommaSeparatedListOutputParser | `typing.List[str]` | `typing.List[str]` | NO | | MarkdownListOutputParser | `typing.List[str]` | `typing.List[str]` | NO | | NumberedListOutputParser | `typing.List[str]` | `typing.List[str]` | NO | | JsonOutputKeyToolsParser | `typing.Any` | `typing.Any` | NO | | JsonOutputToolsParser | `typing.Any` | `typing.Any` | NO | | PydanticToolsParser | `typing.Any` | `typing.Any` | NO | | PandasDataFrameOutputParser | `typing.Dict[str, Any]` | `TypeError` is raised | YES | | PydanticOutputParser(pydantic_object=MyModel) | `<class '__main__.MyModel'>` | `<class '__main__.MyModel'>` | NO | | RegexParser | `typing.Dict[str, str]` | `TypeError` is raised | YES | | RegexDictParser | `typing.Dict[str, str]` | `TypeError` is raised | YES | | RetryOutputParser | The same type as `self.parser.OutputType` | `~T` | YES | | RetryWithErrorOutputParser | The same type as `self.parser.OutputType` | `~T` | YES | | StructuredOutputParser | `typing.Dict[str, Any]` | `TypeError` is raised | YES | | YamlOutputParser(pydantic_object=MyModel) | `MyModel` | `~T` | YES | NOTE: In "Fix Required", "YES" means that it is required to fix in this PR while "NO" means that it is not required. # Issue No issues for this PR. # Twitter handle - [hmdev3](https://twitter.com/hmdev3) # Questions: 1. Is it required to create tests for legacy APIs `LLMChain.run` in the following scripts? - libs/langchain/tests/unit_tests/output_parsers/test_fix.py; - libs/langchain/tests/unit_tests/output_parsers/test_retry.py. 2. Is there a more appropriate expected output type than I expect in the above table? - e.g. the `OutputType` of `CombiningOutputParser` should be SOMETHING... # Actual outputs (before this PR) <div id='evidence'></div> <details><summary>Actual outputs</summary> ## Requirements - Python==3.9.13 - langchain==0.1.13 ```python Python 3.9.13 (tags/v3.9.13:6de2ca5, May 17 2022, 16:36:42) [MSC v.1929 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import langchain >>> langchain.__version__ '0.1.13' >>> from langchain import output_parsers ``` ### `BooleanOutputParser` ```python >>> output_parsers.BooleanOutputParser().OutputType <class 'bool'> ``` ### `CombiningOutputParser` ```python >>> output_parsers.CombiningOutputParser(parsers=[output_parsers.DatetimeOutputParser(), output_parsers.CommaSeparatedListOutputParser()]).OutputType Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\workspace\venv\lib\site-packages\langchain_core\output_parsers\base.py", line 160, in OutputType raise TypeError( TypeError: Runnable CombiningOutputParser doesn't have an inferable OutputType. Override the OutputType property to specify the output type. ``` ### `DatetimeOutputParser` ```python >>> output_parsers.DatetimeOutputParser().OutputType <class 'datetime.datetime'> ``` ### `EnumOutputParser` ```python >>> from enum import Enum >>> class MyEnum(Enum): ... a = 'a' ... b = 'b' ... >>> output_parsers.EnumOutputParser(enum=MyEnum).OutputType Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\workspace\venv\lib\site-packages\langchain_core\output_parsers\base.py", line 160, in OutputType raise TypeError( TypeError: Runnable EnumOutputParser doesn't have an inferable OutputType. Override the OutputType property to specify the output type. ``` ### `OutputFixingParser` ```python >>> output_parsers.OutputFixingParser(parser=output_parsers.DatetimeOutputParser()).OutputType ~T ``` ### `CommaSeparatedListOutputParser` ```python >>> output_parsers.CommaSeparatedListOutputParser().OutputType typing.List[str] ``` ### `MarkdownListOutputParser` ```python >>> output_parsers.MarkdownListOutputParser().OutputType typing.List[str] ``` ### `NumberedListOutputParser` ```python >>> output_parsers.NumberedListOutputParser().OutputType typing.List[str] ``` ### `JsonOutputKeyToolsParser` ```python >>> output_parsers.JsonOutputKeyToolsParser(key_name='tool').OutputType typing.Any ``` ### `JsonOutputToolsParser` ```python >>> output_parsers.JsonOutputToolsParser().OutputType typing.Any ``` ### `PydanticToolsParser` ```python >>> from langchain.pydantic_v1 import BaseModel >>> class MyModel(BaseModel): ... a: int ... >>> output_parsers.PydanticToolsParser(tools=[MyModel, MyModel]).OutputType typing.Any ``` ### `PandasDataFrameOutputParser` ```python >>> output_parsers.PandasDataFrameOutputParser().OutputType Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\workspace\venv\lib\site-packages\langchain_core\output_parsers\base.py", line 160, in OutputType raise TypeError( TypeError: Runnable PandasDataFrameOutputParser doesn't have an inferable OutputType. Override the OutputType property to specify the output type. ``` ### `PydanticOutputParser` ```python >>> output_parsers.PydanticOutputParser(pydantic_object=MyModel).OutputType <class '__main__.MyModel'> ``` ### `RegexParser` ```python >>> output_parsers.RegexParser(regex='$', output_keys=['a']).OutputType Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\workspace\venv\lib\site-packages\langchain_core\output_parsers\base.py", line 160, in OutputType raise TypeError( TypeError: Runnable RegexParser doesn't have an inferable OutputType. Override the OutputType property to specify the output type. ``` ### `RegexDictParser` ```python >>> output_parsers.RegexDictParser(output_key_to_format={'a':'a'}).OutputType Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\workspace\venv\lib\site-packages\langchain_core\output_parsers\base.py", line 160, in OutputType raise TypeError( TypeError: Runnable RegexDictParser doesn't have an inferable OutputType. Override the OutputType property to specify the output type. ``` ### `RetryOutputParser` ```python >>> output_parsers.RetryOutputParser(parser=output_parsers.DatetimeOutputParser()).OutputType ~T ``` ### `RetryWithErrorOutputParser` ```python >>> output_parsers.RetryWithErrorOutputParser(parser=output_parsers.DatetimeOutputParser()).OutputType ~T ``` ### `StructuredOutputParser` ```python >>> from langchain.output_parsers.structured import ResponseSchema >>> response_schemas = [ResponseSchema(name="foo",description="a list of strings",type="List[string]"),ResponseSchema(name="bar",description="a string",type="string"), ] >>> output_parsers.StructuredOutputParser.from_response_schemas(response_schemas).OutputType Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\workspace\venv\lib\site-packages\langchain_core\output_parsers\base.py", line 160, in OutputType raise TypeError( TypeError: Runnable StructuredOutputParser doesn't have an inferable OutputType. Override the OutputType property to specify the output type. ``` ### `YamlOutputParser` ```python >>> output_parsers.YamlOutputParser(pydantic_object=MyModel).OutputType ~T ``` <div> --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Artem Mukhin	e271f75bee	docs: Fix URL formatting in deprecation warnings (#23075) ... **Description** Updated the URLs in deprecation warning messages. The URLs were previously written as raw strings and are now formatted to be clickable HTML links. Example of a broken link in the current API Reference: https://api.python.langchain.com/en/latest/chains/langchain.chains.openai_functions.extraction.create_extraction_chain_pydantic.html <img width="942" alt="Screenshot 2024-06-18 at 13 21 07" src="https://github.com/langchain-ai/langchain/assets/4854600/a1b1863c-cd03-4af2-a9bc-70375407fb00">	3 months ago
Gabriel Petracca	c6660df58e	community[minor]: Implement Doctran async execution (#22372) ... **Description** The DoctranTextTranslator has an async transform function that was not implemented because [the doctran library](https://github.com/psychic-api/doctran) uses a sync version of the `execute` method. - I implemented the `DoctranTextTranslator.atransform_documents()` method using `asyncio.to_thread` to run the function in a separate thread. - I updated the example in the Notebook with the new async version. - The performance improvements can be appreciated when a big document is divided into multiple chunks. Relates to: - Issue #14645: https://github.com/langchain-ai/langchain/issues/14645 - Issue #14437: https://github.com/langchain-ai/langchain/issues/14437 - https://github.com/langchain-ai/langchain/pull/15264 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Eugene Yurtsev	aa6415aa7d	core[minor]: Support multiple keys in get_from_dict_or_env (#23086) ... Support passing multiple keys for ge_from_dict_or_env	3 months ago
nold	226802f0c4	community: add args_schema to SearxSearch (#22954) ... This change adds args_schema (pydantic BaseModel) to SearxSearchRun for correct schema formatting on LLM function calls Issue: currently using SearxSearchRun with OpenAI function calling returns the following error "TypeError: SearxSearchRun._run() got an unexpected keyword argument '__arg1' ". This happens because the schema sent to the LLM is "input: '{"__arg1":"foobar"}'" while the method should be called with the "query" parameter. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	3 months ago
Bagatur	01783d67fc	core[patch]: Release 0.2.9 (#23091)	3 months ago
Finlay Macklon	616d06d7fe	community: glob multiple patterns when using DirectoryLoader (#22852) ... - **Description:** Updated *community.langchain_community.document_loaders.directory.py* to enable the use of multiple glob patterns in the `DirectoryLoader` class. Now, the glob parameter is of type `list[str] | str` and still defaults to the same value as before. I updated the docstring of the class to reflect this, and added a unit test to *community.tests.unit_tests.document_loaders.test_directory.py* named `test_directory_loader_glob_multiple`. This test also shows an example of how to use the new functionality. - ~~Issue:~~**Discussion Thread:** https://github.com/langchain-ai/langchain/discussions/18559 - **Dependencies:** None - **Twitter handle:** N/a - [x] **Add tests and docs** - Added test (described above) - Updated class docstring - [x] **Lint and test** --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Eugene Yurtsev	5564d9e404	core[patch]: Document BaseStore (#23082) ... Add doc-string to BaseStore	3 months ago
Takuya Igei	9f791b6ad5	core[patch],community[patch],langchain[patch]: `tenacity` dependency to version `>=8.1.0,<8.4.0` (#22973) ... Fix https://github.com/langchain-ai/langchain/issues/22972. - [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" - [x] **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! - [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. - [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/ 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.	3 months ago
Raviraj	858ce264ef	SemanticChunker : Feature Addition ("Semantic Splitting with gradient") (#22895) ... ```SemanticChunker``` currently provide three methods to split the texts semantically: - percentile - standard_deviation - interquartile I propose new method ```gradient```. In this method, the gradient of distance is used to split chunks along with the percentile method (technically) . This method is useful when chunks are highly correlated with each other or specific to a domain e.g. legal or medical. The idea is to apply anomaly detection on gradient array so that the distribution become wider and easy to identify boundaries in highly semantic data. I have tested this merge on a set of 10 domain specific documents (mostly legal). Details : - **Issue:** Improvement - **Dependencies:** NA - **Twitter handle:** [x.com/prajapat_ravi](https://x.com/prajapat_ravi) @hwchase17 --------- Co-authored-by: Raviraj Prajapat <raviraj.prajapat@sirionlabs.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	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
Chang Liu	62c8a67f56	community: add KafkaChatMessageHistory (#22216) ... Add chat history store based on Kafka. Files added: `libs/community/langchain_community/chat_message_histories/kafka.py` `docs/docs/integrations/memory/kafka_chat_message_history.ipynb` New issue to be created for future improvement: 1. Async method implementation. 2. Message retrieval based on timestamp. 3. Support for other configs when connecting to cloud hosted Kafka (e.g. add `api_key` field) 4. Improve unit testing & integration testing.	3 months ago
shimajiroxyz	3e835a1aa1	langchain: add id_key option to EnsembleRetriever for metadata-based document merging (#22950) ... **Description:** - What I changed - By specifying the `id_key` during the initialization of `EnsembleRetriever`, it is now possible to determine which documents to merge scores for based on the value corresponding to the `id_key` element in the metadata, instead of `page_content`. Below is an example of how to use the modified `EnsembleRetriever`: ```python retriever = EnsembleRetriever(retrievers=[ret1, ret2], id_key="id") # The Document returned by each retriever must keep the "id" key in its metadata. ``` - Additionally, I added a script to easily test the behavior of the `invoke` method of the modified `EnsembleRetriever`. - Why I changed - There are cases where you may want to calculate scores by treating Documents with different `page_content` as the same when using `EnsembleRetriever`. For example, when you want to ensemble the search results of the same document described in two different languages. - The previous `EnsembleRetriever` used `page_content` as the basis for score aggregation, making the above usage difficult. Therefore, the score is now calculated based on the specified key value in the Document's metadata. **Twitter handle:** @shimajiroxyz	3 months ago
mackong	39f6c4169d	langchain[patch]: add tool messages formatter for tool calling agent (#22849) ... - **Description:** add tool_messages_formatter for tool calling agent, make tool messages can be formatted in different ways for your LLM. - **Issue:** N/A - **Dependencies:** N/A	3 months ago
Lucas Tucker	e25a5966b5	docs: Standardize DocumentLoader docstrings (#22932) ... **Standardizing DocumentLoader docstrings (of which there are many)** This PR addresses issue #22866 and adds docstrings according to the issue's specified format (in the appendix) for files csv_loader.py and json_loader.py in langchain_community.document_loaders. In particular, the following sections have been added to both CSVLoader and JSONLoader: Setup, Instantiate, Load, Async load, and Lazy load. It may be worth adding a 'Metadata' section to the JSONLoader docstring to clarify how we want to extract the JSON metadata (using the `metadata_func` argument). The files I used to walkthrough the various sections were `example_2.json` from [HERE](https://support.oneskyapp.com/hc/en-us/articles/208047697-JSON-sample-files) and `hw_200.csv` from [HERE](https://people.sc.fsu.edu/~jburkardt/data/csv/csv.html). --------- Co-authored-by: lucast2021 <lucast2021@headroyce.org> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	3 months ago
Mohammad Mohtashim	60ba02f5db	[Community]: Fixed DDG DuckDuckGoSearchResults Docstring (#22968) ... - **Description:** A very small fix in the Docstring of `DuckDuckGoSearchResults` identified in the following issue. - **Issue:** #22961 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	3 months ago
Eun Hye Kim	70761af8cf	community: Fix #22975 (Add SSL Verification Option to Requests Class in langchain_community) (#22977) ... - **PR title**: "community: Fix #22975 (Add SSL Verification Option to Requests Class in langchain_community)" - **PR message**: - **Description:** - Added an optional verify parameter to the Requests class with a default value of True. - Modified the get, post, patch, put, and delete methods to include the verify parameter. - Updated the _arequest async context manager to include the verify parameter. - Added the verify parameter to the GenericRequestsWrapper class and passed it to the Requests class. - **Issue:** This PR fixes issue #22975. - **Dependencies:** No additional dependencies are required for this change. - **Twitter handle:** @lunara_x You can check this change with below code. ```python from langchain_openai.chat_models import ChatOpenAI from langchain.requests import RequestsWrapper from langchain_community.agent_toolkits.openapi import planner from langchain_community.agent_toolkits.openapi.spec import reduce_openapi_spec with open("swagger.yaml") as f: data = yaml.load(f, Loader=yaml.FullLoader) swagger_api_spec = reduce_openapi_spec(data) llm = ChatOpenAI(model='gpt-4o') swagger_requests_wrapper = RequestsWrapper(verify=False) # modified point superset_agent = planner.create_openapi_agent(swagger_api_spec, swagger_requests_wrapper, llm, allow_dangerous_requests=True, handle_parsing_errors=True) superset_agent.run( "Tell me the number and types of charts and dashboards available." ) ``` --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	3 months ago
Mohammad Mohtashim	bf839676c7	[Community]: FIxed the DocumentDBVectorSearch `_similarity_search_without_score` (#22970) ... - **Description:** The PR #22777 introduced a bug in `_similarity_search_without_score` which was raising the `OperationFailure` error. The mistake was syntax error for MongoDB pipeline which has been corrected now. - **Issue:** #22770	3 months ago
Nuno Campos	f01f12ce1e	Include "no escape" and "inverted section" mustache vars in Prompt.input_variables and Prompt.input_schema (#22981)	3 months ago
Bagatur	c2b2e3266c	core[minor]: message transformer utils (#22752)	3 months ago
Anders Swanson	aacc6198b9	community: OCI GenAI embedding batch size (#22986) ... Thank you for contributing to LangChain! - [x] **PR title**: "community: OCI GenAI embedding batch size" - [x] **PR message**: - **Issue:** #22985 - [ ] **Add tests and docs**: N/A - [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/ 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. --------- Signed-off-by: Anders Swanson <anders.swanson@oracle.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Bagatur	8235bae48e	core[patch]: Release 0.2.8 (#23012)	3 months ago
Nuno Campos	bd4b68cd54	core: run_in_executor: Wrap StopIteration in RuntimeError (#22997) ... - StopIteration can't be set on an asyncio.Future it raises a TypeError and leaves the Future pending forever so we need to convert it to a RuntimeError	3 months ago
Bagatur	d96f67b06f	standard-tests[patch]: Update chat model standard tests (#22378) ... - Refactor standard test classes to make them easier to configure - Update openai to support stop_sequences init param - Update groq to support stop_sequences init param - Update fireworks to support max_retries init param - Update ChatModel.bind_tools to type tool_choice - Update groq to handle tool_choice="any". **this may be controversial** --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	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
ccurme	722c8f50ea	openai[patch]: add stream_usage parameter (#22854) ... Here we add `stream_usage` to ChatOpenAI as: 1. a boolean attribute 2. a kwarg to _stream and _astream. Question: should the `stream_usage` attribute be `bool`, or `bool | None`? Currently I've kept it `bool` and defaulted to False. It was implemented on [ChatAnthropic](e832bbb486/libs/partners/anthropic/langchain_anthropic/chat_models.py (L535)) as a bool. However, to maintain support for users who access the behavior via OpenAI's `stream_options` param, this ends up being possible: ```python llm = ChatOpenAI(model_kwargs={"stream_options": {"include_usage": True}}) assert not llm.stream_usage ``` (and this model will stream token usage). Some options for this: - it's ok - make the `stream_usage` attribute bool or None - make an \_\_init\_\_ for ChatOpenAI, set a `._stream_usage` attribute and read `.stream_usage` from a property Open to other ideas as well.	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
Bagatur	e2304ebcdb	standard-tests[patch]: Release 0.1.1 (#22984)	3 months ago
Hakan Özdemir	c437b1aab7	[Partner]: Add metadata to stream response (#22716) ... Adds `response_metadata` to stream responses from OpenAI. This is returned with `invoke` normally, but wasn't implemented for `stream`. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Bagatur	9ff249a38d	standard-tests[patch]: don't require str chunk contents (#22965)	3 months ago
Christopher Tee	ada03dd273	community(you): Better support for You.com News API (#22622) ... ## Description While `YouRetriever` supports both You.com's Search and News APIs, news is supported as an afterthought. More specifically, not all of the News API parameters are exposed for the user, only those that happen to overlap with the Search API. This PR: - improves support for both APIs, exposing the remaining News API parameters while retaining backward compatibility - refactor some REST parameter generation logic - updates the docstring of `YouSearchAPIWrapper` - add input validation and warnings to ensure parameters are properly set by user - 🚨 Breaking: Limit the news results to `k` items If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	3 months ago
Tomaz Bratanic	1c661fd849	Improve llm graph transformer docstring (#22939)	3 months ago
maang-h	7a0af56177	docs: update ZhipuAI ChatModel docstring (#22934) ... - **Description:** Update ZhipuAI ChatModel rich docstring - **Issue:** the issue #22296	3 months ago
Bitmonkey	570d45b2a1	Update ollama.py with optional raw setting. (#21486) ... Ollama has a raw option now. https://github.com/ollama/ollama/blob/main/docs/api.md Thank you for contributing to LangChain! - [ ] **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" - [ ] **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, hwchase17. --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	3 months ago
caiyueliang	9944ad7f5f	community: 'Solve the issue where the _search function in ElasticsearchStore supports passing a query_vector parameter, but the parameter does not take effect. (#21532) ... **Issue:** When using the similarity_search_with_score function in ElasticsearchStore, I expected to pass in the query_vector that I have already obtained. I noticed that the _search function does support the query_vector parameter, but it seems to be ineffective. I am attempting to resolve this issue. Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Erick Friis	c374c98389	experimental: release 0.0.61 (#22924)	3 months ago
BuxianChen	af65cac609	cli[minor]: remove redefined DEFAULT_GIT_REF (#21471) ... remove redefined DEFAULT_GIT_REF Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Erick Friis	79a64207f5	community: release 0.2.5 (#22923)	3 months ago
Jiejun Tan	c8c67dde6f	text-splitters[patch]: Fix HTMLSectionSplitter (#22812) ... Update former pull request: https://github.com/langchain-ai/langchain/pull/22654. Modified `langchain_text_splitters.HTMLSectionSplitter`, where in the latest version `dict` data structure is used to store sections from a html document, in function `split_html_by_headers`. The header/section element names serve as dict keys. This can be a problem when duplicate header/section element names are present in a single html document. Latter ones can replace former ones with the same name. Therefore some contents can be miss after html text splitting is conducted. Using a list to store sections can hopefully solve the problem. A Unit test considering duplicate header names has been added. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Erick Friis	fbeeb6da75	langchain: release 0.2.5 (#22922)	3 months ago
Baskar Gopinath	c4f2bc9540	docs: Fix wrongly referenced class name in confluence.py (#22879) ... Fixes #22542 Changed ConfluenceReader to ConfluenceLoader	3 months ago
Erick Friis	9ef15691d6	core: release 0.2.7 (#22917)	3 months ago
Nuno Campos	338180f383	core: in astream_events v2 always await task even if already finished (#22916) ... - this ensures exceptions propagate to the caller	3 months ago
Istvan/Nebulinq	513e491ce9	experimental: LLMGraphTransformer - added relationship properties. (#21856) ... - **Description:** The generated relationships in the graph had no properties, but the Relationship class was properly defined with properties. This made it very difficult to transform conditional sentences into a graph. Adding properties to relationships can solve this issue elegantly. The changes expand on the existing LLMGraphTransformer implementation but add the possibility to define allowed relationship properties like this: LLMGraphTransformer(llm=llm, relationship_properties=["Condition", "Time"],) - **Issue:** no issue found - **Dependencies:** n/a - **Twitter handle:** @IstvanSpace -Quick Test ================================================================= from dotenv import load_dotenv import os from langchain_community.graphs import Neo4jGraph from langchain_experimental.graph_transformers import LLMGraphTransformer from langchain_openai import ChatOpenAI from langchain_core.prompts import ChatPromptTemplate from langchain_core.documents import Document load_dotenv() os.environ["NEO4J_URI"] = os.getenv("NEO4J_URI") os.environ["NEO4J_USERNAME"] = os.getenv("NEO4J_USERNAME") os.environ["NEO4J_PASSWORD"] = os.getenv("NEO4J_PASSWORD") graph = Neo4jGraph() llm = ChatOpenAI(temperature=0, model_name="gpt-4o") llm_transformer = LLMGraphTransformer(llm=llm) #text = "Harry potter likes pies, but only if it rains outside" text = "Jack has a dog named Max. Jack only walks Max if it is sunny outside." documents = [Document(page_content=text)] llm_transformer_props = LLMGraphTransformer( llm=llm, relationship_properties=["Condition"], ) graph_documents_props = llm_transformer_props.convert_to_graph_documents(documents) print(f"Nodes:{graph_documents_props[0].nodes}") print(f"Relationships:{graph_documents_props[0].relationships}") graph.add_graph_documents(graph_documents_props) --------- Co-authored-by: Istvan Lorincz <istvan.lorincz@pm.me> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
kiarina	8171efd07a	core[patch]: Fix FunctionCallbackHandler._on_tool_end (#22908) ... If the global `debug` flag is enabled, the agent will get the following error in `FunctionCallbackHandler._on_tool_end` at runtime. ``` Error in ConsoleCallbackHandler.on_tool_end callback: AttributeError("'list' object has no attribute 'strip'") ``` By calling str() before strip(), the error was avoided. This error can be seen at [debugging.ipynb](https://github.com/langchain-ai/langchain/blob/master/docs/docs/how_to/debugging.ipynb). - Issue: NA - Dependencies: NA - Twitter handle: https://x.com/kiarina37	3 months ago
Philippe PRADOS	b61de9728e	community[minor]: Fix long_context_reorder.py async (#22839) ... Implement `async def atransform_documents( self, documents: Sequence[Document], **kwargs: Any ) -> Sequence[Document]` for `LongContextReorder`	3 months ago
Eugene Yurtsev	c72bcda4f2	community[major], experimental[patch]: Remove Python REPL from community (#22904) ... Remove the REPL from community, and suggest an alternative import from langchain_experimental. Fix for this issue: https://github.com/langchain-ai/langchain/issues/14345 This is not a bug in the code or an actual security risk. The python REPL itself is behaving as expected. The PR is done to appease blanket security policies that are just looking for the presence of exec in the code. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Eugene Yurtsev	9a877c7adb	community[patch]: SitemapLoader restrict depth of parsing sitemap (CVE-2024-2965) (#22903) ... This PR restricts the depth to which the sitemap can be parsed. Fix for: CVE-2024-2965	3 months ago
Eugene Yurtsev	4a77a3ab19	core[patch]: fix validation of @deprecated decorator (#22513) ... This PR moves the validation of the decorator to a better place to avoid creating bugs while deprecating code. Prevent issues like this from arising: https://github.com/langchain-ai/langchain/issues/22510 we should replace with a linter at some point that just does static analysis	3 months ago
Jacob Lee	181a61982f	anthropic[minor]: Adds streaming tool call support for Anthropic (#22687) ... Preserves string content chunks for non tool call requests for convenience. One thing - Anthropic events look like this: ``` RawContentBlockStartEvent(content_block=TextBlock(text='', type='text'), index=0, type='content_block_start') RawContentBlockDeltaEvent(delta=TextDelta(text='<thinking>\nThe', type='text_delta'), index=0, type='content_block_delta') RawContentBlockDeltaEvent(delta=TextDelta(text=' provide', type='text_delta'), index=0, type='content_block_delta') ... RawContentBlockStartEvent(content_block=ToolUseBlock(id='toolu_01GJ6x2ddcMG3psDNNe4eDqb', input={}, name='get_weather', type='tool_use'), index=1, type='content_block_start') RawContentBlockDeltaEvent(delta=InputJsonDelta(partial_json='', type='input_json_delta'), index=1, type='content_block_delta') ``` Note that `delta` has a `type` field. With this implementation, I'm dropping it because `merge_list` behavior will concatenate strings. We currently have `index` as a special field when merging lists, would it be worth adding `type` too? If so, what do we set as a context block chunk? `text` vs. `text_delta`/`tool_use` vs `input_json_delta`? CC @ccurme @efriis @baskaryan	3 months ago
ccurme	f40b2c6f9d	fireworks[patch]: add usage_metadata to (a)invoke and (a)stream (#22906)	3 months ago
Mohammad Mohtashim	d1b7a934aa	[Community]: HuggingFaceCrossEncoder `score` accounting for <not-relevant score,relevant score> pairs. (#22578) ... - **Description:** Some of the Cross-Encoder models provide scores in pairs, i.e., <not-relevant score (higher means the document is less relevant to the query), relevant score (higher means the document is more relevant to the query)>. However, the `HuggingFaceCrossEncoder` `score` method does not currently take into account the pair situation. This PR addresses this issue by modifying the method to consider only the relevant score if score is being provided in pair. The reason for focusing on the relevant score is that the compressors select the top-n documents based on relevance. - **Issue:** #22556 - Please also refer to this [comment](https://github.com/UKPLab/sentence-transformers/issues/568#issuecomment-729153075)	3 months ago
Thanh Nguyen	b5e2ba3a47	community[minor]: add chat model llamacpp (#22589) ... - **PR title**: [community] add chat model llamacpp - **PR message**: - **Description:** This PR introduces a new chat model integration with llamacpp_python, designed to work similarly to the existing ChatOpenAI model. + Work well with instructed chat, chain and function/tool calling. + Work with LangGraph (persistent memory, tool calling), will update soon - **Dependencies:** This change requires the llamacpp_python library to be installed. @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
ccurme	73c76b9628	anthropic[patch]: always add tool_result type to ToolMessage content (#22721) ... Anthropic tool results can contain image data, which are typically represented with content blocks having `"type": "image"`. Currently, these content blocks are passed as-is as human/user messages to Anthropic, which raises BadRequestError as it expects a tool_result block to follow a tool_use. Here we update ChatAnthropic to nest the content blocks inside a tool_result content block. Example: ```python import base64 import httpx from langchain_anthropic import ChatAnthropic from langchain_core.messages import AIMessage, HumanMessage, ToolMessage from langchain_core.pydantic_v1 import BaseModel, Field # Fetch image image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8") class FetchImage(BaseModel): should_fetch: bool = Field(..., description="Whether an image is requested.") llm = ChatAnthropic(model="claude-3-sonnet-20240229").bind_tools([FetchImage]) messages = [ HumanMessage(content="Could you summon a beautiful image please?"), AIMessage( content=[ { "type": "tool_use", "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx", "name": "FetchImage", "input": {"should_fetch": True}, }, ], tool_calls=[ { "name": "FetchImage", "args": {"should_fetch": True}, "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx", }, ], ), ToolMessage( name="FetchImage", content=[ { "type": "image", "source": { "type": "base64", "media_type": "image/jpeg", "data": image_data, }, }, ], tool_call_id="toolu_01Rn6Qvj5m7955x9m9Pfxbcx", ), ] llm.invoke(messages) ``` Trace: https://smith.langchain.com/public/d27e4fc1-a96d-41e1-9f52-54f5004122db/r	3 months ago
Lucas Tucker	7114aed78f	docs: Standardize ChatGroq (#22751) ... Updated ChatGroq doc string as per issue https://github.com/langchain-ai/langchain/issues/22296:"langchain_groq: updated docstring for ChatGroq in langchain_groq to match that of the description (in the appendix) provided in issue https://github.com/langchain-ai/langchain/issues/22296. " Issue: This PR is in response to issue https://github.com/langchain-ai/langchain/issues/22296, and more specifically the ChatGroq model. In particular, this PR updates the docstring for langchain/libs/partners/groq/langchain_groq/chat_model.py by adding the following sections: Instantiate, Invoke, Stream, Async, Tool calling, Structured Output, and Response metadata. I used the template from the Anthropic implementation and referenced the Appendix of the original issue post. I also noted that: `usage_metadata `returns none for all ChatGroq models I tested; there is no mention of image input in the ChatGroq documentation; unlike that of ChatHuggingFace, `.stream(messages)` for ChatGroq returned blocks of output. --------- Co-authored-by: lucast2021 <lucast2021@headroyce.org> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Anush	e002c855bd	qdrant[patch]: Use collection_exists API instead of exceptions (#22764) ... ## Description Currently, the Qdrant integration relies on exceptions raised by [`get_collection` ](https://qdrant.tech/documentation/concepts/collections/#collection-info) to check if a collection exists. Using [`collection_exists`](https://qdrant.tech/documentation/concepts/collections/#check-collection-existence) is recommended to avoid missing any unhandled exceptions. This PR addresses this. ## Testing All integration and unit tests pass. No user-facing changes.	3 months ago
Anindyadeep	c417803908	community[minor]: Prem Templates (#22783) ... This PR adds the feature add Prem Template feature in ChatPremAI. Additionally it fixes a minor bug for API auth error when API passed through arguments.	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
Leonid Ganeline	46c9784127	docs: `ReAct` reference (#22830) ... The `ReAct` is used all across LangChain but it is not referenced properly. Added references to the original paper.	3 months ago
Bagatur	8bd368d07e	cli[patch]: Release 0.0.25 (#22876)	3 months ago
Isaac Francisco	75e966a2fa	docs, cli[patch]: document loaders doc template (#22862) ... From: https://github.com/langchain-ai/langchain/pull/22290 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Kagura Chen	57783c5e55	Fix: lint errors and update Field alias in models.py and AutoSelectionScorer initialization (#22846) ... This PR addresses several lint errors in the core package of LangChain. Specifically, the following issues were fixed: 1.Unexpected keyword argument "required" for "Field" [call-arg] 2.tests/integration_tests/chains/test_cpal.py:263: error: Unexpected keyword argument "narrative_input" for "QueryModel" [call-arg]	3 months ago
Erick Friis	5bc774827b	langchain: release 0.2.4 (#22872)	3 months ago
Erick Friis	7234fd0f51	core: release 0.2.6 (#22868)	3 months ago
Jacob Lee	bcbb43480c	core[patch]: Treat type as a special field when merging lists (#22750) ... Should we even log a warning? At least for Anthropic, it's expected to get e.g. `text_block` followed by `text_delta`. @ccurme @baskaryan @efriis	3 months ago
Nuno Campos	bae82e966a	core: In astream_events v2 propagate cancel/break to the inner astream call (#22865) ... - previous behavior was for the inner astream to continue running with no interruption - also propagate break in core runnable methods	3 months ago
Eugene Yurtsev	a766815a99	experimental[patch]/docs[patch]: Update links to security docs (#22864) ... Minor update to newest version of security docs (content should be identical).	3 months ago
Eugene Yurtsev	8f7cc73817	ci: Add script to check for pickle usage in community (#22863) ... Add script to check for pickle usage in community.	3 months ago
Eugene Yurtsev	77209f315e	community[patch]: FAISS VectorStore deserializer should be opt-in (#22861) ... FAISS deserializer uses pickle module. Users have to opt-in to de-serialize.	3 months ago
Eugene Yurtsev	ce0b0f22a1	experimental[major]: Force users to opt-in into code that relies on the python repl (#22860) ... This should make it obvious that a few of the agents in langchain experimental rely on the python REPL as a tool under the hood, and will force users to opt-in.	3 months ago
Isaac Francisco	869523ad72	[docs]: added info for TavilySearchResults (#22765)	3 months ago
ccurme	42257b120f	partners: fix numpy dep (#22858) ... Following https://github.com/langchain-ai/langchain/pull/22813, which added python 3.12 to CI, here we update numpy accordingly in partner packages.	3 months ago
Isaac Francisco	345fd3a556	minor functionality change: adding API functionality to tavilysearch (#22761)	3 months ago
Isaac Francisco	034257e9bf	docs: improved recursive url loader docs (#22648) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
ccurme	b626c3ca23	groq[patch]: add usage_metadata to (a)invoke and (a)stream (#22834)	3 months ago
James Braza	45b394268c	core[patch]: allowing latest `packaging` versions (#22792) ... Allowing version 24 of https://github.com/pypa/packaging --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Karim Lalani	276be6cdd4	[experimental][llms][OllamaFunctions] tool calling related fixes (#22339) ... Fixes issues with tool calling to handle tool objects correctly. Added support to handle ToolMessage correctly. Added additional checks for error conditions. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Christophe Bornet	d04e899b56	ci: add testing with Python 3.12 (#22813) ... We need to use a different version of numpy for py3.8 and py3.12 in pyproject. And so do projects that use that Python version range and import langchain. - **Twitter handle:** _cbornet	3 months ago
HyoJin Kang	b6bf2bb234	community[patch]: fix database uri type in SQLDatabase (#22661) ... **Description** sqlalchemy uses "sqlalchemy.engine.URL" type for db uri argument. Added 'URL' type for compatibility. **Issue**: None **Dependencies:** None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago