langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	e510cfaa23	core[patch]: passthrough BaseRetriever.invoke(**kwargs) (#16551 ) Fix for #16547	7 months ago
Anders Åhsman	355ef2a4a6	langchain[patch]: Fix doc-string grammar (#16543 ) - Description: Small grammar fix in docstring for class `BaseCombineDocumentsChain`.	7 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>	7 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.	7 months ago
Erick Friis	adc008407e	exa: init pkg (#16553 )	7 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>	7 months ago
Bagatur	b8768bd6e7	docs: allow pdf download of api ref (#16550 ) https://docs.readthedocs.io/en/stable/config-file/v2.html#formats	7 months ago
Leonid Ganeline	f6a05e964b	docs: `Hugging Face` update (#16490 ) - added missed integrations to the platform page - updated integration examples: added links and fixed formats	7 months ago
Bagatur	c173a69908	langchain[patch]: oai tools output parser nit (#16540 ) allow positional init args	7 months ago
arnob-sengupta	f9976b9630	core[patch]: consolidate conditional in BaseTool (#16530 ) - Description: Refactor contradictory conditional to single line - Issue: #16528	7 months ago
Bagatur	5c2538b9f7	anthropic[patch]: allow pop by field name (#16544 ) allow `ChatAnthropicMessages(model=...)`	7 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>	7 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>	7 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	7 months ago
Bob Lin	54dd8e52a8	docs: Updated comments about `n_gpu_layers` in the Metal section (#16501 ) Ref: https://github.com/langchain-ai/langchain/issues/16502	7 months ago
Eugene Yurtsev	fe382fcf20	CI: more qa template changes (#16533 ) More qa template changes	7 months ago
Eugene Yurtsev	06f66f25e1	CI: Update q-a template (#16532 ) Update template for QA discussions	7 months ago
Eugene Yurtsev	b1b351b37e	CI: more updates to feature request template (#16531 ) More updates	7 months ago
Eugene Yurtsev	4fad71882e	CI: Fix ideas template (#16529 ) Fix ideas template	7 months ago
Anastasiia Manokhina	ce595f0203	docs:Updated integration docs structure for chat/google_vertex_ai_palm (#16201 ) Description: - checked that the doc chat/google_vertex_ai_palm is using new functions: invoke, stream etc. - added Gemini example - fixed wrong output in Sanskrit example Issue: https://github.com/langchain-ai/langchain/issues/15664 Dependencies: None Twitter handle: None	7 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>	7 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	7 months ago
Eugene Yurtsev	8d990ba67b	CI: more update to ideas template (#16524 ) Update ideas template	7 months ago
Eugene Yurtsev	63da14d620	CI: redirect feature requests to ideas in discussions (#16522 ) Redirect feature requests to ideas in discussions	7 months ago
Erick Friis	8d299645f9	docs: rm output (#16519 )	7 months ago
Eugene Yurtsev	dfd94fb2f0	CI: Update issue template (#16517 ) More updates to the ISSUE template	7 months ago
Lance Martin	0b740ebd49	Update SQL agent toolkit docs (#16409 )	7 months ago
Francisco Ingham	13cf4594f4	docs: added a few suggestions for sql docs (#16508 )	7 months ago
Eugene Yurtsev	6004e9706f	Docs: Add streaming section (#16468 ) Adds a streaming section to LangChain documentation, explaining `stream`/`astream` API and `astream_events` API.	7 months ago
Tipwheal	66aafc0573	Docs: typo in tool use quick start page (#16494 ) Minor typo fix	7 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.	7 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>	7 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. -->	7 months ago
chyroc	61da2ff24c	community[patch]: use SecretStr for yandex model secrets (#15463 )	7 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>	7 months ago
Karim Lalani	4c7755778d	community[patch]: SurrealDB fix for asyncio (#16092 ) Code fix for asyncio	7 months ago
BeatrixCohere	2b2285dac0	docs: Update cohere rerank and comparison docs (#16198 ) - Description: Update the cohere rerank docs to use cohere embeddings - Issue: n/a - Dependencies: n/a - Twitter handle: n/a	7 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>	7 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>" ) ```	7 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	7 months ago
Serena Ruan	5c6e123757	community[patch]: Fix MlflowCallback with none artifacts_dir (#16487 )	7 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	7 months ago
Eugene Yurtsev	d898d2f07b	docs: Fix version in which astream_events was released (#16481 ) Fix typo in version	7 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	7 months ago
JongRok BAEK	4ec3fe4680	docs: Updated integration docs structure for chat/anthropic (#16268 ) Description: - Added output and environment variables - Updated the documentation for chat/anthropic, changing references from `langchain.schema` to `langchain_core.prompts`. Issue: https://github.com/langchain-ai/langchain/issues/15664 Dependencies: None Twitter handle: None Since this is my first open-source PR, please feel free to point out any mistakes, and I'll be eager to make corrections.	7 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>	7 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	7 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	7 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.	7 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>	7 months ago

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