langchain

Commit Graph

Author	SHA1	Message	Date
Yudhajit Sinha	1703fe2361	core[patch]: preserve inspect.iscoroutinefunction with @beta decorator (#16440 ) Adjusted deprecate decorator to make sure decorated async functions are still recognized as "coroutinefunction" by inspect Addresses #16402 <!-- 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: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Killinsun - Ryota Takeuchi	52f4ad8216	community: Add new fields in metadata for qdrant vector store (#16608 ) ## Description The PR is to return the ID and collection name from qdrant client to metadata field in `Document` class. ## Issue The motivation is almost same to [11592](https://github.com/langchain-ai/langchain/issues/11592) Returning ID is useful to update existing records in a vector store, but we cannot know them if we use some retrievers. In order to avoid any conflicts, breaking changes, the new fields in metadata have a prefix `_` ## Dependencies N/A ## Twitter handle @kill_in_sun <!-- 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: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
hulitaitai	32cad38ec6	<langchain_community\llms\chatglm.py>: <Correcting "history"> (#16729 ) Use the real "history" provided by the original program instead of putting "None" in the history. - Description: I change one line in the code to make it return the "history" of the chat model. - Issue: At the moment it returns only the answers of the chat model. However the chat model himself provides a history more complet with the questions of the user. - Dependencies: no dependencies required for this change,	8 months ago
Bassem Yacoube	85e93e05ed	community[minor]: Update OctoAI LLM, Embedding and documentation (#16710 ) This PR includes updates for OctoAI integrations: - The LLM class was updated to fix a bug that occurs with multiple sequential calls - The Embedding class was updated to support the new GTE-Large endpoint released on OctoAI lately - The documentation jupyter notebook was updated to reflect using the new LLM sdk Thank you!	8 months ago
Shay Ben Elazar	84ebfb5b9d	openai[patch]: Added annotations support to azure openai (#13704 ) - Description: Added Azure OpenAI Annotations (content filtering results) to ChatResult - Issue: 13090 - Twitter handle: ElazarShay Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Volodymyr Machula	32c5be8b73	community[minor]: Connery Tool and Toolkit (#14506 ) ## Summary This PR implements the "Connery Action Tool" and "Connery Toolkit". Using them, you can integrate Connery actions into your LangChain agents and chains. Connery is an open-source plugin infrastructure for AI. With Connery, you can easily create a custom plugin with a set of actions and seamlessly integrate them into your LangChain agents and chains. Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features. Additionally, Connery and our community offer a wide range of ready-to-use open-source plugins for your convenience. Learn more about Connery: - GitHub: https://github.com/connery-io/connery-platform - Documentation: https://docs.connery.io - Twitter: https://twitter.com/connery_io ## TODOs - [x] API wrapper - [x] Integration tests - [x] Connery Action Tool - [x] Docs - [x] Example - [x] Integration tests - [x] Connery Toolkit - [x] Docs - [x] Example - [x] Formatting (`make format`) - [x] Linting (`make lint`) - [x] Testing (`make test`)	8 months ago
Harrison Chase	8457c31c04	community[patch]: activeloop ai tql deprecation (#14634 ) Co-authored-by: AdkSarsen <adilkhan@activeloop.ai>	8 months ago
Neli Hateva	c95facc293	langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019 ) - Description: Implement Ontotext GraphDB QA Chain - Issue: N/A - Dependencies: N/A - Twitter handle: @OntotextGraphDB	8 months ago
chyroc	a08f9a7ff9	langchain[patch]: support OpenAIAssistantRunnable async (#15302 ) fix https://github.com/langchain-ai/langchain/issues/15299 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Elliot	39eb00d304	community[patch]: Adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory (#15441 ) - Description: To adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory, - Issue: None, - Dependencies: None, - Twitter handle: None	8 months ago
Jael Gu	a1aa3a657c	community[patch]: Milvus supports add & delete texts by ids (#16256 ) # Description To support [langchain indexing](https://python.langchain.com/docs/modules/data_connection/indexing) as requested by users, vectorstore Milvus needs to support: - document addition by id (`add_documents` method with `ids` argument) - delete by id (`delete` method with `ids` argument) Example usage: ```python from langchain.indexes import SQLRecordManager, index from langchain.schema import Document from langchain_community.vectorstores import Milvus from langchain_openai import OpenAIEmbeddings collection_name = "test_index" embedding = OpenAIEmbeddings() vectorstore = Milvus(embedding_function=embedding, collection_name=collection_name) namespace = f"milvus/{collection_name}" record_manager = SQLRecordManager( namespace, db_url="sqlite:///record_manager_cache.sql" ) record_manager.create_schema() doc1 = Document(page_content="kitty", metadata={"source": "kitty.txt"}) doc2 = Document(page_content="doggy", metadata={"source": "doggy.txt"}) index( [doc1, doc1, doc2], record_manager, vectorstore, cleanup="incremental", # None, "incremental", or "full" source_id_key="source", ) ``` # Fix issues Fix https://github.com/milvus-io/milvus/issues/30112 --------- Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Michard Hugo	e9d3527b79	community[patch]: Add missing async similarity_distance_threshold handling in RedisVectorStoreRetriever (#16359 ) Add missing async similarity_distance_threshold handling in RedisVectorStoreRetriever - Description: added method `_aget_relevant_documents` to `RedisVectorStoreRetriever` that overrides parent method to add support of `similarity_distance_threshold` in async mode (as for sync mode) - Issue: #16099 - Dependencies: N/A - Twitter handle: N/A	8 months ago
Bagatur	7237dc67d4	core[patch]: Release 0.1.17 (#16737 )	8 months ago
Anthony Bernabeu	2db79ab111	community[patch]: Implement TTL for DynamoDBChatMessageHistory (#15478 ) - Description: Implement TTL for DynamoDBChatMessageHistory, - Issue: see #15477, - Dependencies: N/A, --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	8 months ago
Massimiliano Pronesti	1bc8d9a943	experimental[patch]: missing resolution strategy in anonymization (#16653 ) - Description: Presidio-based anonymizers are not working because `_remove_conflicts_and_get_text_manipulation_data` was being called without a conflict resolution strategy. This PR fixes this issue. In addition, it removes some mutable default arguments (antipattern). To reproduce the issue, just run the very first cell of this [notebook](https://python.langchain.com/docs/guides/privacy/2/) from langchain's documentation. <!-- 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: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
taimo	d3d9244fee	langchain-community: fix unicode escaping issue with SlackToolkit (#16616 ) - Description: fix unicode escaping issue with SlackToolkit - Issue: #16610	8 months ago
Benito Geordie	f3fdc5c5da	community: Added integrations for ThirdAI's NeuralDB with Retriever and VectorStore frameworks (#15280 ) Description: Adds ThirdAI NeuralDB retriever and vectorstore integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval engine.	8 months ago
Pashva Mehta	22d90800c8	community: Fixed schema discrepancy in from_texts function for weaviate vectorstore (#16693 ) * Description: Fixed schema discrepancy in from_texts function for weaviate vectorstore which created a redundant property "key" inside a class. * Issue: Fixed: https://github.com/langchain-ai/langchain/issues/16692 * Twitter handle: @pashvamehta1	8 months ago
ccurme	ec0ae23645	core: expand docstring for RunnableGenerator (#16672 ) - Description: expand docstring for RunnableGenerator - Issue: https://github.com/langchain-ai/langchain/issues/16631	8 months ago
Daniel Erenrich	0600998f38	community: Wikidata tool support (#16691 ) - Description: Adds Wikidata support to langchain. Can read out documents from Wikidata. - Issue: N/A - Dependencies: Adds implicit dependencies for `wikibase-rest-api-client` (for turning items into docs) and `mediawikiapi` (for hitting the search endpoint) - Twitter handle: @derenrich You can see an example of this tool used in a chain [here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Langchain.ipynb) or [here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Lars_Kai_Hansen.ipynb) <!-- Thank you for contributing to LangChain! 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Tze Min	6ef718c5f4	Core: fix Anthropic json issue in streaming (#16670 ) Description: fix ChatAnthropic json issue in streaming Issue: https://github.com/langchain-ai/langchain/issues/16423 Dependencies: n/a --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Christophe Bornet	2e3af04080	Use Postponed Evaluation of Annotations in Astra and Cassandra doc loaders (#16694 ) Minor/cosmetic change	8 months ago
Erick Friis	88e3129587	robocorp: release 0.0.2 (#16706 )	8 months ago
Christophe Bornet	36e432672a	community[minor]: Add async methods to AstraDBLoader (#16652 )	8 months ago
William FH	38425c99d2	core[minor]: Image prompt template (#14263 ) Builds on Bagatur's (#13227). See unit test for example usage (below) ```python def test_chat_tmpl_from_messages_multipart_image() -> None: base64_image = "abcd123" other_base64_image = "abcd123" template = ChatPromptTemplate.from_messages( [ ("system", "You are an AI assistant named {name}."), ( "human", [ {"type": "text", "text": "What's in this image?"}, # OAI supports all these structures today { "type": "image_url", "image_url": "data:image/jpeg;base64,{my_image}", }, { "type": "image_url", "image_url": {"url": "data:image/jpeg;base64,{my_image}"}, }, {"type": "image_url", "image_url": "{my_other_image}"}, { "type": "image_url", "image_url": {"url": "{my_other_image}", "detail": "medium"}, }, { "type": "image_url", "image_url": {"url": "https://www.langchain.com/image.png"}, }, { "type": "image_url", "image_url": {"url": "data:image/jpeg;base64,foobar"}, }, ], ), ] ) messages = template.format_messages( name="R2D2", my_image=base64_image, my_other_image=other_base64_image ) expected = [ SystemMessage(content="You are an AI assistant named R2D2."), HumanMessage( content=[ {"type": "text", "text": "What's in this image?"}, { "type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}, }, { "type": "image_url", "image_url": { "url": f"data:image/jpeg;base64,{other_base64_image}" }, }, { "type": "image_url", "image_url": {"url": f"{other_base64_image}"}, }, { "type": "image_url", "image_url": { "url": f"{other_base64_image}", "detail": "medium", }, }, { "type": "image_url", "image_url": {"url": "https://www.langchain.com/image.png"}, }, { "type": "image_url", "image_url": {"url": "data:image/jpeg;base64,foobar"}, }, ] ), ] assert messages == expected ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Brace Sproul <braceasproul@gmail.com>	8 months ago
Rashedul Hasan Rijul	481493dbce	community[patch]: apply embedding functions during query if defined (#16646 ) Description: This update ensures that the user-defined embedding function specified during vector store creation is applied during queries. Previously, even if a custom embedding function was defined at the time of store creation, Bagel DB would default to using the standard embedding function during query execution. This pull request addresses this issue by consistently using the user-defined embedding function for queries if one has been specified earlier.	8 months ago
Serena Ruan	f01fb47597	community[patch]: MLflowCallbackHandler -- Move textstat and spacy as optional dependency (#16657 ) Signed-off-by: Serena Ruan <serena.rxy@gmail.com>	8 months ago
Zhuoyun(John) Xu	508bde7f40	community[patch]: Ollama - Pass headers to post request in async method (#16660 ) # Description A previous PR (https://github.com/langchain-ai/langchain/pull/15881) added option to pass headers to ollama endpoint, but headers are not pass to the async method.	8 months ago
João Carlos Ferra de Almeida	3e87b67a3c	community[patch]: Add Cookie Support to Fetch Method (#16673 ) - Description: This change allows the `_fetch` method in the `WebBaseLoader` class to utilize cookies from an existing `requests.Session`. It ensures that when the `fetch` method is used, any cookies in the provided session are included in the request. This enhancement maintains compatibility with existing functionality while extending the utility of the `fetch` method for scenarios where cookie persistence is necessary. - Issue: Not applicable (new feature), - Dependencies: Requires `aiohttp` and `requests` libraries (no new dependencies introduced), - Twitter handle: N/A Co-authored-by: Joao Almeida <joao.almeida@mercedes-benz.io>	8 months ago
Harrison Chase	27665e3546	[community] fix anthropic streaming (#16682 )	8 months ago
Christophe Bornet	4915c3cd86	[Fix] Fix Cassandra Document loader default page content mapper (#16273 ) We can't use `json.dumps` by default as many types returned by the cassandra driver are not serializable. It's safer to use `str` and let users define their own custom `page_content_mapper` if needed.	8 months ago
Nuno Campos	e86fd946c8	In stream_event and stream_log handle closed streams (#16661 ) if eg. the stream iterator is interrupted then adding more events to the send_stream will raise an exception that we should catch (and handle where appropriate) <!-- 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: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Nuno Campos	52ccae3fb1	Accept message-like things in Chat models, LLMs and MessagesPlaceholder (#16418 )	8 months ago
Pasha	4e189cd89a	community[patch]: youtube loader transcript format (#16625 ) - Description: YoutubeLoader right now returns one document that contains the entire transcript. I think it would be useful to add an option to return multiple documents, where each document would contain one line of transcript with the start time and duration in the metadata. For example, [AssemblyAIAudioTranscriptLoader](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/document_loaders/assemblyai.py) is implemented in a similar way, it allows you to choose between the format to use for the document loader.	8 months ago
yin1991	a936472512	docs: Update documentation to use 'model_id' rather than 'model_name' to match actual API (#16615 ) - Description: Replace 'model_name' with 'model_id' for accuracy - Issue: [link-to-issue](https://github.com/langchain-ai/langchain/issues/16577) - Dependencies: - Twitter handle:	8 months ago
Micah Parker	6543e585a5	community[patch]: Added support for Ollama's num_predict option in ChatOllama (#16633 ) Just a simple default addition to the options payload for a ollama generate call to support a max_new_tokens parameter. Should fix issue: https://github.com/langchain-ai/langchain/issues/14715	8 months ago
baichuan-assistant	70ff54eace	community[minor]: Add Baichuan Text Embedding Model and Baichuan Inc introduction (#16568 ) - Description: Adding Baichuan Text Embedding Model and Baichuan Inc introduction. Baichuan Text Embedding ranks #1 in C-MTEB leaderboard: https://huggingface.co/spaces/mteb/leaderboard Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
Bagatur	5b5115c408	google-vertexai[patch]: streaming bug (#16603 ) Fixes errors seen here https://github.com/langchain-ai/langchain/actions/runs/7661680517/job/20881556592#step:9:229	8 months ago
ccurme	a989f82027	core: expand docstring for RunnableParallel (#16600 ) - Description: expand docstring for RunnableParallel - Issue: https://github.com/langchain-ai/langchain/issues/16462 Feel free to modify this or let me know how it can be improved!	8 months ago
Ghani	e30c6662df	Langchain-community : EdenAI chat integration. (#16377 ) - Description: This PR adds [EdenAI](https://edenai.co/) for the chat model (already available in LLM & Embeddings). It supports all [ChatModel] functionality: generate, async generate, stream, astream and batch. A detailed notebook was added. - Dependencies: No dependencies are added as we call a rest API. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	8 months ago
Antonio Lanza	08d3fd7f2e	langchain[patch]: inconsistent results with `RecursiveCharacterTextSplitter`'s `add_start_index=True` (#16583 ) This PR fixes issue #16579	8 months ago
Eugene Yurtsev	42db96477f	docs: Update in code documentation for runnable with message history (#16585 ) Update the in code documentation for Runnable With Message History	8 months ago
Jatin Chawda	a79345f199	community[patch]: Fixed tool names snake_case (#16397 ) #16396 Fixed 1. golden_query 2. google_lens 3. memorize 4. merriam_webster 5. open_weather_map 6. pub_med 7. stack_exchange 8. generate_image 9. wikipedia	8 months ago
Bagatur	bcc71d1a57	openai[patch]: Release 0.0.5 (#16598 )	8 months ago
Bagatur	68f7468754	google-vertexai[patch]: Release 0.0.3 (#16597 )	8 months ago
Bagatur	61e876aad8	openai[patch]: Explicitly support embedding dimensions (#16596 )	8 months ago
Bagatur	5df8ab574e	infra: move indexing documentation test (#16595 )	8 months ago
Bagatur	f3d61a6e47	langchain[patch]: Release 0.1.4 (#16592 )	8 months ago
Bagatur	61b200947f	community[patch]: Release 0.0.16 (#16591 )	8 months ago
Bagatur	75ad0bba2d	openai[patch]: Release 0.0.4 (#16590 )	8 months ago
Bagatur	1e3ce338ca	core[patch]: Release 0.1.16 (#16589 )	8 months ago
Bagatur	6c89507988	docs: add rag citations page (#16549 )	8 months ago
Bagatur	31790d15ec	openai[patch]: accept function_call dict in bind_functions (#16483 ) Confusing that you can't pass in a dict	8 months ago
Bagatur	ef42d9d559	core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485 ) … converters One way to convert anything to an OAI function: convert_to_openai_function One way to convert anything to an OAI tool: convert_to_openai_tool Corresponding bind functions on OAI models: bind_functions, bind_tools	8 months ago
Brian Burgin	148347e858	community[minor]: Add LiteLLM Router Integration (#15588 ) community: - Description: - Add new ChatLiteLLMRouter class that allows a client to use a LiteLLM Router as a LangChain chat model. - Note: The existing ChatLiteLLM integration did not cover the LiteLLM Router class. - Add tests and Jupyter notebook. - Issue: None - Dependencies: Relies on existing ChatLiteLLM integration - Twitter handle: @bburgin_0 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
JongRok BAEK	3b8eba32f9	anthropic[patch]: Fix message type lookup in Anthropic Partners (#16563 ) - Description: The parameters for user and assistant in Anthropic should be 'ai -> assistant,' but they are reversed to 'assistant -> ai.' Below is error code. ```python anthropic.BadRequestError: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'messages: Unexpected role "ai". Allowed roles are "user" or "assistant"'}} ``` [anthropic](`7177f3a71f/src/anthropic/types/beta/message_param.py (L13)`) - Issue: : #16561 - Dependencies: : None - Twitter handle: : None	8 months ago
Dmitry Tyumentsev	e86e66bad7	community[patch]: YandexGPT models - add sleep_interval (#16566 ) Added sleep between requests to prevent errors associated with simultaneous requests.	8 months ago
Bagatur	e510cfaa23	core[patch]: passthrough BaseRetriever.invoke(**kwargs) (#16551 ) Fix for #16547	8 months ago
Anders Åhsman	355ef2a4a6	langchain[patch]: Fix doc-string grammar (#16543 ) - Description: Small grammar fix in docstring for class `BaseCombineDocumentsChain`.	8 months ago
Aditya	9dd7cbb447	google-genai: added logic for method get_num_tokens() (#16205 ) <!-- Thank you for contributing to LangChain! Please title your PR "partners: google-genai", Replace this entire comment with: - Description: : added logic for method get_num_tokens() for ChatGoogleGenerativeAI , GoogleGenerativeAI, - Issue: : https://github.com/langchain-ai/langchain/issues/16204, - Dependencies: : None, - Twitter handle: @Aditya_Rane --------- Co-authored-by: adityarane@google.com <adityarane@google.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>	8 months ago
James Braza	0785432e7b	langchain-google-vertexai: perserving grounding metadata (#16309 ) Revival of https://github.com/langchain-ai/langchain/pull/14549 that closes https://github.com/langchain-ai/langchain/issues/14548.	8 months ago
Erick Friis	adc008407e	exa: init pkg (#16553 )	8 months ago
Rave Harpaz	c4e9c9ca29	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>	8 months ago
Bagatur	c173a69908	langchain[patch]: oai tools output parser nit (#16540 ) allow positional init args	8 months ago
arnob-sengupta	f9976b9630	core[patch]: consolidate conditional in BaseTool (#16530 ) - Description: Refactor contradictory conditional to single line - Issue: #16528	8 months ago
Bagatur	5c2538b9f7	anthropic[patch]: allow pop by field name (#16544 ) allow `ChatAnthropicMessages(model=...)`	8 months ago
Harel Gal	a91181fe6d	community[minor]: add support for Guardrails for Amazon Bedrock (#15099 ) Added support for optionally supplying 'Guardrails for Amazon Bedrock' on both types of model invocations (batch/regular and streaming) and for all models supported by the Amazon Bedrock service. @baskaryan @hwchase17 ```python llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, guardrails={"id": " <guardrail_id>", "version": "<guardrail_version>", "trace": True}, callbacks=[BedrockAsyncCallbackHandler()]) class BedrockAsyncCallbackHandler(AsyncCallbackHandler): """Async callback handler that can be used to handle callbacks from langchain.""" async def on_llm_error( self, error: BaseException, **kwargs: Any, ) -> Any: reason = kwargs.get("reason") if reason == "GUARDRAIL_INTERVENED": # kwargs contains additional trace information sent by 'Guardrails for Bedrock' service. print(f"""Guardrails: {kwargs}""") # streaming llm = Bedrock(model_id="<model_id>", client=bedrock, model_kwargs={}, streaming=True, guardrails={"id": "<guardrail_id>", "version": "<guardrail_version>"}) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Martin Kolb	04651f0248	community[minor]: VectorStore integration for SAP HANA Cloud Vector Engine (#16514 ) - Description: This PR adds a VectorStore integration for SAP HANA Cloud Vector Engine, which is an upcoming feature in the SAP HANA Cloud database (https://blogs.sap.com/2023/11/02/sap-hana-clouds-vector-engine-announcement/). - Issue: N/A - Dependencies: [SAP HANA Python Client](https://pypi.org/project/hdbcli/) - Twitter handle: @sapopensource Implementation of the integration: `libs/community/langchain_community/vectorstores/hanavector.py` Unit tests: `libs/community/tests/unit_tests/vectorstores/test_hanavector.py` Integration tests: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Example notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb` Access credentials for execution of the integration tests can be provided to the maintainers. --------- Co-authored-by: sascha <sascha.stoll@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Leonid Kuligin	1113700b09	google-genai[patch]: better error message when location is not supported (#16535 ) Replace this entire comment with: - Description: a better error message when location is not supported	8 months ago
Unai Garay Maestre	fdbfa6b2c8	Adds progress bar to VertexAIEmbeddings (#14542 ) - Description: Adds progress bar to VertexAIEmbeddings - Issue: related issue https://github.com/langchain-ai/langchain/issues/13637 Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> --------- Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>	8 months ago
James Braza	643fb3ab50	langchain-google-vertexai[patch]: more verbose mypy config (#16307 ) Flushing out the `mypy` config in `langchain-google-vertexai` to show error codes and other warnings This PR also bumps `mypy` to above version 1's stable release	8 months ago
Jeremi Joslin	9e95699277	community[patch]: Fix error message when litellm is not installed (#16316 ) The error message was mentioning the wrong package. I updated it to the correct one.	8 months ago
bachr	b3ed98dec0	community[patch]: avoid KeyError when language not in LANGUAGE_SEGMENTERS (#15212 ) Description: Handle unsupported languages in same way as when none is provided Issue: The following line will throw a KeyError if the language is not supported. ```python self.Segmenter = LANGUAGE_SEGMENTERS[language] ``` E.g. when using `Language.CPP` we would get `KeyError: <Language.CPP: 'cpp'>` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Nuno Campos	3f38e1a457	Remove double line (#16426 ) <!-- 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: a description of the change, - Issue: the issue # it fixes if applicable, - Dependencies: any dependencies required for this change, - 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. 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
chyroc	61da2ff24c	community[patch]: use SecretStr for yandex model secrets (#15463 )	8 months ago
Alessio Serra	d628a80a5d	community[patch]: added 'conversational' as a valid task for hugginface endopoint models (#15761 ) - Description: added the conversational task to hugginFace endpoint in order to use models designed for chatbot programming. - Dependencies: None --------- Co-authored-by: Alessio Serra (ext.) <alessio.serra@partner.bmw.de> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Karim Lalani	4c7755778d	community[patch]: SurrealDB fix for asyncio (#16092 ) Code fix for asyncio	8 months ago
Raunak	476bf8b763	community[patch]: Load list of files using UnstructuredFileLoader (#16216 ) - Description: Updated `_get_elements()` function of `UnstructuredFileLoader `class to check if the argument self.file_path is a file or list of files. If it is a list of files then it iterates over the list of file paths, calls the partition function for each one, and appends the results to the elements list. If self.file_path is not a list, it calls the partition function as before. - Issue: Fixed #15607, - Dependencies: NA - Twitter handle: NA Co-authored-by: H161961 <Raunak.Raunak@Honeywell.com>	8 months ago
Xudong Sun	019b6ebe8d	community[minor]: Add iFlyTek Spark LLM chat model support (#13389 ) - Description: This PR enables LangChain to access the iFlyTek's Spark LLM via the chat_models wrapper. - Dependencies: websocket-client ^1.6.1 - Tag maintainer: @baskaryan ### SparkLLM chat model usage Get SparkLLM's app_id, api_key and api_secret from [iFlyTek SparkLLM API Console](https://console.xfyun.cn/services/bm3) (for more info, see [iFlyTek SparkLLM Intro](https://xinghuo.xfyun.cn/sparkapi) ), then set environment variables `IFLYTEK_SPARK_APP_ID`, `IFLYTEK_SPARK_API_KEY` and `IFLYTEK_SPARK_API_SECRET` or pass parameters when using it like the demo below: ```python3 from langchain.chat_models.sparkllm import ChatSparkLLM client = ChatSparkLLM( spark_app_id="<app_id>", spark_api_key="<api_key>", spark_api_secret="<api_secret>" ) ```	8 months ago
Ali Zendegani	80fcc50c65	langchain[patch]: Minor Fix: Enable Passing custom_headers for Authentication in GraphQL Agent/Tool (#16413 ) - Description: This PR aims to enhance the `langchain` library by enabling the support for passing `custom_headers` in the `GraphQLAPIWrapper` usage within `langchain/agents/load_tools.py`. While the `GraphQLAPIWrapper` from the `langchain_community` module is inherently capable of handling `custom_headers`, its current invocation in `load_tools.py` does not facilitate this functionality. This limitation restricts the use of the `graphql` tool with databases or APIs that require token-based authentication. The absence of support for `custom_headers` in this context also leads to a lack of error messages when attempting to interact with secured GraphQL endpoints, making debugging and troubleshooting more challenging. This update modifies the `load_tools` function to correctly handle `custom_headers`, thereby allowing secure and authenticated access to GraphQL services requiring tokens. Example usage after the proposed change: ```python tools = load_tools( ["graphql"], graphql_endpoint="https://your-graphql-endpoint.com/graphql", custom_headers={"Authorization": f"Token {api_token}"}, ) ``` - Issue: None, - Dependencies: None, - Twitter handle: None	8 months ago
Serena Ruan	5c6e123757	community[patch]: Fix MlflowCallback with none artifacts_dir (#16487 )	8 months ago
Krista Pratico	0e2e7d8b83	langchain[patch]: allow passing client with OpenAIAssistantRunnable (#16486 ) - Description: This addresses the issue tagged below where if you try to pass your own client when creating an OpenAI assistant, a pydantic error is raised: Example code: ```python import openai from langchain.agents.openai_assistant import OpenAIAssistantRunnable client = openai.OpenAI() interpreter_assistant = OpenAIAssistantRunnable.create_assistant( name="langchain assistant", instructions="You are a personal math tutor. Write and run code to answer math questions.", tools=[{"type": "code_interpreter"}], model="gpt-4-1106-preview", client=client ) ``` Error: `pydantic.v1.errors.ConfigError: field "client" not yet prepared, so the type is still a ForwardRef. You might need to call OpenAIAssistantRunnable.update_forward_refs()` It additionally updates type hints and docstrings to indicate that an AzureOpenAI client is permissible as well. - Issue: https://github.com/langchain-ai/langchain/issues/15948 - Dependencies: N/A	8 months ago
bu2kx	ff3163297b	community[minor]: Add KDBAI vector store (#12797 ) Addition of KDBAI vector store (https://kdb.ai). Dependencies: `kdbai_client` v0.1.2 Python package. Sample notebook: `docs/docs/integrations/vectorstores/kdbai.ipynb` Tag maintainer: @bu2kx Twitter handle: @kxsystems	8 months ago
Shivani Modi	4e160540ff	community[minor]: Adding Konko Completion endpoint (#15570 ) This PR introduces update to Konko Integration with LangChain. 1. New Endpoint Addition: Integration of a new endpoint to utilize completion models hosted on Konko. 2. Chat Model Updates for Backward Compatibility: We have updated the chat models to ensure backward compatibility with previous OpenAI versions. 4. Updated Documentation: Comprehensive documentation has been updated to reflect these new changes, providing clear guidance on utilizing the new features and ensuring seamless integration. Thank you to the LangChain team for their exceptional work and for considering this PR. Please let me know if any additional information is needed. --------- Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MacBook-Pro.local> Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MBP.lan>	8 months ago
Gianfranco Demarco	c69f599594	langchain[patch]: Extract _aperform_agent_action from _aiter_next_step from AgentExecutor (#15707 ) - Description: extreact the _aperform_agent_action in the AgentExecutor class to allow for easier overriding. Extracted logic from _iter_next_step into a new method _perform_agent_action for consistency and easier overriding. - Issue: #15706 Closes #15706	8 months ago
i-w-a	95ee69a301	langchain[patch]: In HTMLHeaderTextSplitter set default encoding to utf-8 (#16372 ) - Description: The HTMLHeaderTextSplitter Class now explicitly specifies utf-8 encoding in the part of the split_text_from_file method that calls the HTMLParser. - Issue: Prevent garbled characters due to differences in encoding of html files (except for English in particular, I noticed that problem with Japanese). - Dependencies: No dependencies, - Twitter handle: @i_w__a	8 months ago
Noah Stapp	e135e5257c	community[patch]: Include scores in MongoDB Atlas QA chain results (#14666 ) Adds the ability to return similarity scores when using `RetrievalQA.from_chain_type` with `MongoDBAtlasVectorSearch`. Requires that `return_source_documents=True` is set. Example use: ``` vector_search = MongoDBAtlasVectorSearch.from_documents(...) qa = RetrievalQA.from_chain_type( llm=OpenAI(), chain_type="stuff", retriever=vector_search.as_retriever(search_kwargs={"additional": ["similarity_score"]}), return_source_documents=True ) ... docs = qa({"query": "..."}) docs["source_documents"][0].metadata["score"] # score will be here ``` I've tested this feature locally, using a MongoDB Atlas Cluster with a vector search index.	8 months ago
Serena Ruan	90f5a1c40e	community[minor]: Improve mlflow callback (#15691 ) - Description: Allow passing run_id to MLflowCallbackHandler to resume a run instead of creating a new run. Support recording retriever relevant metrics. Refactor the code to fix some bugs. --------- Signed-off-by: Serena Ruan <serena.rxy@gmail.com>	8 months ago
Facundo Santiago	92e6a641fd	feat: adding paygo api support for Azure ML / Azure AI Studio (#14560 ) - Description: Introducing support for LLMs and Chat models running in Azure AI studio and Azure ML using the new deployment mode pay-as-you-go (model as a service). - Issue: NA - Dependencies: None. - Tag maintainer: @prakharg-msft @gdyre - Twitter handle: @santiagofacundo Examples added: * [docs/docs/integrations/llms/azure_ml.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_endpoint.ipynb) * [docs/docs/integrations/chat/azureml_chat_endpoint.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_chat_endpoint.ipynb) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Davide Menini	9ce177580a	community: normalize bedrock embeddings (#15103 ) In this PR I added a post-processing function to normalize the embeddings. This happens only if the new `normalize` flag is `True`. --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com>	8 months ago
baichuan-assistant	20fcd49348	community: Fix Baichuan Chat. (#15207 ) - Description: Baichuan Chat (with both Baichuan-Turbo and Baichuan-Turbo-192K models) has updated their APIs. There are breaking changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API but is still required in Langchain. Baichuan's Langchain integration needs to be updated to the latest version. - Issue: #15206 - Dependencies: None, - Twitter handle: None @hwchase17. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	8 months ago
gcheron	cfc225ecb3	community: SQLStrStore/SQLDocStore provide an easy SQL alternative to `InMemoryStore` to persist data remotely in a SQL storage (#15909 ) Description: - Implement `SQLStrStore` and `SQLDocStore` classes that inherits from `BaseStore` to allow to persist data remotely on a SQL server. - SQL is widely used and sometimes we do not want to install a caching solution like Redis. - Multiple issues/comments complain that there is no easy remote and persistent solution that are not in memory (users want to replace InMemoryStore), e.g., https://github.com/langchain-ai/langchain/issues/14267, https://github.com/langchain-ai/langchain/issues/15633, https://github.com/langchain-ai/langchain/issues/14643, https://stackoverflow.com/questions/77385587/persist-parentdocumentretriever-of-langchain - This is particularly painful when wanting to use `ParentDocumentRetriever ` - This implementation is particularly useful when: * it's expensive to construct an InMemoryDocstore/dict * you want to retrieve documents from remote sources * you just want to reuse existing objects - This implementation integrates well with PGVector, indeed, when using PGVector, you already have a SQL instance running. `SQLDocStore` is a convenient way of using this instance to store documents associated to vectors. An integration example with ParentDocumentRetriever and PGVector is provided in docs/docs/integrations/stores/sql.ipynb or [here](https://github.com/gcheron/langchain/blob/sql-store/docs/docs/integrations/stores/sql.ipynb). - It persists `str` and `Document` objects but can be easily extended. Issue: Provide an easy SQL alternative to `InMemoryStore`. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Massimiliano Pronesti	e529939c54	feat(llms): support more tasks in HuggingFaceHub LLM and remove deprecated dep (#14406 ) - Description: this PR upgrades the `HuggingFaceHub` LLM: * support more tasks (`translation` and `conversational`) * replaced the deprecated `InferenceApi` with `InferenceClient` * adjusted the overall logic to use the "recommended" model for each task when no model is provided, and vice-versa. - Tag mainter(s): @baskaryan @hwchase17	8 months ago
Erick Friis	afb25eeec4	cli[patch]: add integration tests to default makefile (#16479 )	8 months ago
Bagatur	ba326b98d0	langchain[patch]: Release 0.1.3 (#16475 )	8 months ago
Bagatur	54149292f8	community[patch]: Release 0.0.15 (#16474 )	8 months ago
Bagatur	ef6a335570	core[patch]: Release 0.1.15 (#16473 )	8 months ago
Erick Friis	1f4ac62dee	cli[patch], google-vertexai[patch]: readme template (#16470 )	8 months ago
Tomaz Bratanic	d0a8082188	Fix neo4j sanitize (#16439 ) Fix the sanitization bug and add an integration test	8 months ago
William FH	5de59f9236	Core[Patch] Parse tool input after on_start (#16430 ) For tracing, if a validation error occurs, currently it is attributed to the previous step of the chain. It would be nice to have the on_start and on_error callbacks called for tools when there is a validation error that occurs to more easily attribute the root-cause	8 months ago

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