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Author	SHA1	Message	Date
BeatrixCohere	d1a2e194c3	cohere[patch]: misc fixs tool use agent and cohere chat (#19705) ... Bug fixes in this PR: * allows for other params such as "message" not just the input param to the prompt for the cohere tools agent * fixes to documents kwarg from messages * fixes to tool_calls API call --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com>	5 months ago
ccurme	b35e68c41f	docs: update use_cases/question_answering/chat_history (#19349) ... Update following https://github.com/langchain-ai/langchain/issues/19344	5 months ago
Erick Friis	8c2ed85a45	core[patch], infra: release 0.1.36, run partner CI on core PRs (#19688)	5 months ago
Erick Friis	5327bc9ec4	elasticsearch[patch]: move to repo (#19620)	5 months ago
Nilanjan De	239dd7c0c0	langchain[patch]: Use map() and avoid "ValueError: max() arg is an empty sequence" in MergerRetriever (#18679) ... - **Issue:** When passing an empty list to MergerRetriever it fails with error: ValueError: max() arg is an empty sequence - **Description:** We have a use case where we dynamically select retrievers and use MergerRetriever for merging the output of the retrievers. We faced this issue when the retriever_docs list is empty. Adding a default 0 for cases when retriever_docs is an empty list to avoid "ValueError: max() arg is an empty sequence". Also, changed to use map() which is more than twice as fast compared to the current implementation. ``` import timeit # Sample retriever_docs with varying lengths of sublists retriever_docs = [[i for i in range(j)] for j in range(1, 1000)] # First code snippet code1 = ''' max_docs = max(len(docs) for docs in retriever_docs) ''' # Second code snippet code2 = ''' max_docs = max(map(len, retriever_docs), default=0) ''' # Benchmarking time1 = timeit.timeit(stmt=code1, globals=globals(), number=10000) time2 = timeit.timeit(stmt=code2, globals=globals(), number=10000) # Output print(f"Execution time for code snippet 1: {time1} seconds") print(f"Execution time for code snippet 2: {time2} seconds") ``` - **Dependencies:** none	5 months ago
aditya thomas	4cd38fe89f	docs: update docstring of the ChatGroq class (#18645) ... **Description:** Update docstring of the ChatGroq class **Issue:** Not applicable **Dependencies:** None	5 months ago
Jaid	e4d7b1a482	voyageai[patch]: top level reranker import (#19645) ... The previous version didn't had Voyage rerank in the init file - [ ] **PR title**: langchain_voyageai reranker is not working - [ ] **PR message**: - **Description:** This fix let you run reranker from voyage - **Issue:** Was not able to run reranker from voyage @efriis	5 months ago
Xinwei Xiong	26eed70c11	infra: Optimize Makefile for Better Usability and Maintenance (#18859) ... **Previous screenshots：**  **Current screenshot：** 	5 months ago
Juan Jose Miguel Ovalle Villamil	51baa1b5cf	langchain[patch]: fix-cohere-reranker-rerank-method with cohere v5 (#19486) ... #### Description Fixed the following error with `rerank` method from `CohereRerank`: ``` ---> [79](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:79) results = self.client.rerank( [80](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:80) query, docs, model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc [81](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:81) ) [82](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:82) result_dicts = [] [83](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:83) for res in results.results: TypeError: BaseCohere.rerank() takes 1 positional argument but 4 positional arguments (and 2 keyword-only arguments) were given ``` This was easily fixed going from this: ``` def rerank( self, documents: Sequence[Union[str, Document, dict]], query: str, *, model: Optional[str] = None, top_n: Optional[int] = -1, max_chunks_per_doc: Optional[int] = None, ) -> List[Dict[str, Any]]: ... if len(documents) == 0: # to avoid empty api call return [] docs = [ doc.page_content if isinstance(doc, Document) else doc for doc in documents ] model = model or self.model top_n = top_n if (top_n is None or top_n > 0) else self.top_n results = self.client.rerank( query, docs, model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc ) result_dicts = [] for res in results: result_dicts.append( {"index": res.index, "relevance_score": res.relevance_score} ) return result_dicts ``` to this: ``` def rerank( self, documents: Sequence[Union[str, Document, dict]], query: str, *, model: Optional[str] = None, top_n: Optional[int] = -1, max_chunks_per_doc: Optional[int] = None, ) -> List[Dict[str, Any]]: ... if len(documents) == 0: # to avoid empty api call return [] docs = [ doc.page_content if isinstance(doc, Document) else doc for doc in documents ] model = model or self.model top_n = top_n if (top_n is None or top_n > 0) else self.top_n results = self.client.rerank( query=query, documents=docs, model=model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc <------------- ) result_dicts = [] for res in results.results: <------------- result_dicts.append( {"index": res.index, "relevance_score": res.relevance_score} ) return result_dicts ``` #### Unit & Integration tests I added a unit test to check the behaviour of `rerank`. Also fixed the original integration test which was failing. #### Format & Linting Everything worked properly with `make lint_diff`, `make format_diff` and `make format`. However I noticed an error coming from other part of the library when doing `make lint`: ``` (langchain-py3.9) ➜ langchain git:(master) make format [ "." = "" ] || poetry run ruff format . 1636 files left unchanged [ "." = "" ] || poetry run ruff --select I --fix . (langchain-py3.9) ➜ langchain git:(master) make lint ./scripts/check_pydantic.sh . ./scripts/lint_imports.sh poetry run ruff . [ "." = "" ] || poetry run ruff format . --diff 1636 files already formatted [ "." = "" ] || poetry run ruff --select I . [ "." = "" ] || mkdir -p .mypy_cache && poetry run mypy . --cache-dir .mypy_cache langchain/agents/openai_assistant/base.py:252: error: Argument "file_ids" to "create" of "Assistants" has incompatible type "Optional[Any]"; expected "Union[list[str], NotGiven]" [arg-type] langchain/agents/openai_assistant/base.py:374: error: Argument "file_ids" to "create" of "AsyncAssistants" has incompatible type "Optional[Any]"; expected "Union[list[str], NotGiven]" [arg-type] Found 2 errors in 1 file (checked 1634 source files) make: *** [Makefile:65: lint] Error 1 ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Shuqian	332996b4b2	openai[patch]: fix ChatOpenAI model's openai proxy (#19559) ... Due to changes in the OpenAI SDK, the previous method of setting the OpenAI proxy in ChatOpenAI no longer works. This PR fixes this issue, making the previous way of setting the OpenAI proxy in ChatOpenAI effective again. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Bagatur	b15c7fdde6	anthropic[patch]: fix response metadata type (#19683)	5 months ago
kaijietti	9c4b6dc979	community[patch]: fix bug in cohere that `async for` a coroutine in ChatCohere (#19381) ... Without `await`, the `stream` returned from the `async_client` is actually a coroutine, which could not be used in `async for`.	5 months ago
Christian Galo	1adaa3c662	community[minor]: Update Azure Cognitive Services to Azure AI Services (#19488) ... This is a follow up to #18371. These are the changes: - New **Azure AI Services** toolkit and tools to replace those of **Azure Cognitive Services**. - Updated documentation for Microsoft platform. - The image analysis tool has been rewritten to use the new package `azure-ai-vision-imageanalysis`, doing a proper replacement of `azure-ai-vision`. These changes: - Update outdated naming from "Azure Cognitive Services" to "Azure AI Services". - Update documentation to use non-deprecated methods to create and use agents. - Removes need to depend on yanked python package (`azure-ai-vision`) There is one new dependency that is needed as a replacement to `azure-ai-vision`: - `azure-ai-vision-imageanalysis`. This is optional and declared within a function. There is a new `azure_ai_services.ipynb` notebook showing usage; Changes have been linted and formatted. I am leaving the actions of adding deprecation notices and future removal of Azure Cognitive Services up to the LangChain team, as I am not sure what the current practice around this is. --- If this PR makes it, my handle is @galo@mastodon.social --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	5 months ago
Shengsheng Huang	ac1dd8ad94	community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518) ... - **Description**: `bigdl-llm` library has been renamed to [`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR migrates the `bigdl-llm` integration to `ipex-llm` . - **Issue**: N/A. The original PR of `bigdl-llm` is https://github.com/langchain-ai/langchain/pull/17953 - **Dependencies**: `ipex-llm` library - **Contribution maintainer**: @shane-huang Updated doc: docs/docs/integrations/llms/ipex_llm.ipynb Updated test: libs/community/tests/integration_tests/llms/test_ipex_llm.py	5 months ago
Chaunte W. Lacewell	a31f692f4e	community[minor]: Add VDMS vectorstore (#19551) ... - **Description:** Add support for Intel Lab's [Visual Data Management System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store - **Dependencies:** `vdms` library which requires protobuf = "4.24.2". There is a conflict with dashvector in `langchain` package but conflict is resolved in `community`. - **Contribution maintainer:** [@cwlacewe](https://github.com/cwlacewe) - **Added tests:** libs/community/tests/integration_tests/vectorstores/test_vdms.py - **Added docs:** docs/docs/integrations/vectorstores/vdms.ipynb - **Added cookbook:** cookbook/multi_modal_RAG_vdms.ipynb --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
William FH	b7b62e29fb	community[patch], mongodb[patch]: Stop spamming SIMD import warnings (#19531) ... If you use an embedding dist function in an eval loop, you get warned every time. Would prefer to just check once and forget about it. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Tomaz Bratanic	b04e663426	experimental[patch]: Flatten relationships in LLM graph transformer (#19642)	5 months ago
billytrend-cohere	36abb5dd41	cohere[patch]: Fix positional argument (#19678) ... cohere: Fix positional argument Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Nuno Campos	fdfb51ad8d	core: Two updates to chat model interface (#19684) ... - .stream() and .astream() call on_llm_new_token, removing the need for subclasses to do so. Backwards compatible because now we don't pass run_manager into ._stream and ._astream - .generate() and .agenerate() now handle `stream: bool` kwarg for _generate and _agenerate. Subclasses handle this arg by delegating to ._stream(), now one less thing they need to do. Backwards compat because this is an optional arg that we now never pass to the subclasses - .generate() and .agenerate() now inspect callback handlers to decide on a default value for stream:bool if not passed in. This auto enables streaming when using astream_events and astream_log - as a result of these three changes any usage of .astream_events and .astream_log should now yield chat model stream events - In future PRs we can update all subclasses to reflect these two things now handled by base class, but in meantime all will continue to work	5 months ago
harry-cohere	3685f8ceac	cohere[patch]: Add cohere tools agent (#19602) ... **Description**: Adds a cohere tools agent and related notebook. --------- Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
William FH	5c41f4083e	[Evals] Fix function calling support (#19658) ... Current implementation is overzealous in validating chat datasets Fixes [#langsmith-sdk:557](https://github.com/langchain-ai/langsmith-sdk/issues/557)	5 months ago
yongheng.liu	7e29b6061f	community[minor]: integrate China Mobile Ecloud vector search (#15298) ... - **Description:** integrate China Mobile Ecloud vector search, - **Dependencies:** elasticsearch==7.10.1 Co-authored-by: liuyongheng <liuyongheng@cmss.chinamobile.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Hyeongchan Kim	9b70131aed	community[patch]: refactor the type hint of `file_path` in `UnstructuredAPIFileLoader` class (#18839) ... * **Description**: add `None` type for `file_path` along with `str` and `List[str]` types. * `file_path`/`filename` arguments in `get_elements_from_api()` and `partition()` can be `None`, however, there's no `None` type hint for `file_path` in `UnstructuredAPIFileLoader` and `UnstructuredFileLoader` currently. * calling the function with `file_path=None` is no problem, but my IDE annoys me lol. * **Issue**: N/A * **Dependencies**: N/A Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
CaroFG	cf96060ab7	community[patch]: update for compatibility with latest Meilisearch version (#18970) ... - **Description:** Updates Meilisearch vectorstore for compatibility with v1.6 and above. Adds embedders settings and embedder_name which are now required. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
chyroc	be2adb1083	community[patch]: support unstructured_kwargs for s3 loader (#15473) ... fix https://github.com/langchain-ai/langchain/issues/15472 Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Bagatur	b901649032	docs: move extraction up (#19667)	5 months ago
Kahlil Wehmeyer	9c08cdea92	core[patch]: ToolException docs/exception message (#17590) ... **Description:** This PR adds a slightly more helpful message to a Tool Exception ``` # current state langchain_core.tools.ToolException: Too many arguments to single-input tool # proposed state langchain_core.tools.ToolException: Too many arguments to single-input tool. Consider using a StructuredTool instead. ``` **Issue:** Somewhat discussed here 👉 #6197 **Dependencies:** None **Twitter handle:** N/A --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Evgenii Zheltonozhskii	5b1f9c6d3a	infra: Consistent lxml requirements (#19520) ... Update the dependency for lxml to be consistent among different packages; should fix https://github.com/langchain-ai/langchain/issues/19040	5 months ago
Filip Michalsky	2fceec3771	docs: update cookbook example for SalesGPT - include Stripe Payment Link Generation (#19622) ... Thank you for contributing to LangChain! - [ ] **cookbook** - update example for SalesGPT - include Stripe Payment Link Generation - **Description:** We updated the Jupyter notebook example with the ability of the AI Agent to negotiate with customers and then close the deal by generating a custom Stripe payment link. - **Issue:** N/A - **Dependencies:** N/a - **Twitter handle:** @FilipMichalsky @0xtotaylor If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Filip Michalsky <filip_michalsky@g.harvard.edu> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Christophe Bornet	33fa8cfcd0	core[minor]: Add async methods to MaxMarginalRelevanceExampleSelector (#19639)	5 months ago
Taqi Jaffri	72c8b3127d	cli[patch]: Fix typo in dev script name for the --chat-playground option on the cli (#19673) ... Fixes typo --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	5 months ago
Jan Nissen	2e0ddd6fb8	core[minor]: support pydantic v2 models in PydanticOutputParser (#18811) ... As mentioned in #18322, the current PydanticOutputParser won't work for anyone trying to parse to pydantic v2 models. This PR adds a separate `PydanticV2OutputParser`, as well as a `langchain_core.pydantic_v2` namespace that will fail on import to any projects using pydantic<2. Happy to update the docs for output parsers if this is something we're interesting in adding. On a separate note, I also updated `check_pydantic.sh` to detect pydantic imports with leading whitespace and excluded the internal namespaces. That change can be separated into its own PR if needed. --------- Co-authored-by: Jan Nissen <jan23@gmail.com>	5 months ago
Kangmoon Seo	d0accc3275	docs: fix error output in XMLOutputParser documentation (#19569) ... - **Description:** I've made a fix to a ParseError call in the XMLOutputParser documentation. - **Issue:** None - **Dependencies:** None Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Tomaz Bratanic	87d2a6b777	community[minor]: Add the option to omit schema refresh in Neo4jGraph (#19654)	5 months ago
Bagatur	5fc6531c74	docs: use first_tool_only instead of return_single (#19666)	5 months ago
jhicks2306	bcb8ab5216	docs: Improve docstring for Runnable bind method (#19659) ... Added example to the docstring of the "bind" method of Runnable. This makes it easier to understand the purpose of the method when reviewing in code editors. E.g. VS Code below. <img width="833" alt="Screenshot 2024-03-27 at 16 24 18" src="https://github.com/langchain-ai/langchain/assets/45722942/ad022d4e-7bc0-4f4b-aa7a-838f1816cc52"> --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
ccurme	4e9b358ed8	docs: Fix broken imports in documentation (#19655) ... Found via script in https://github.com/langchain-ai/langchain/pull/19611	5 months ago
Rajendra Kadam	0019d8a948	community[minor]: Add support for non-file-based Document Loaders in PebbloSafeLoader (#19574) ... **Description:** PebbloSafeLoader: Add support for non-file-based Document Loaders This pull request enhances PebbloSafeLoader by introducing support for several non-file-based Document Loaders. With this update, PebbloSafeLoader now seamlessly integrates with the following loaders: - GoogleDriveLoader - SlackDirectoryLoader - Unstructured EmailLoader **Issue:** NA **Dependencies:** - None **Twitter handle:** @Raj__725 --------- Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	5 months ago
Christophe Bornet	9954c6a38e	langchain[minor]: Add async methods to EncoderBackedStore (#19597) ... Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Erick Friis	929ed65554	cohere[patch]: release 0.1.0rc1 (#19663)	5 months ago
hulitaitai	dc2c9dd4d7	Update text2vec.py (#19657) ... Add that URL of the embedding tool "text2vec". Fix minor mistakes in the doc-string.	5 months ago
Erick Friis	7630e9529c	Revert "community: added `partners/package-name` folders" (#19662) ... Reverts langchain-ai/langchain#19290	5 months ago
Christophe Bornet	409c6eeb0b	core: Add async methods to LengthBasedExampleSelector (#19640)	5 months ago
Bagatur	c7f1962f73	core[patch]: Release 0.1.35 (#19660)	5 months ago
Eugene Yurtsev	e8339b1d83	core[patch]: Patch XML vulnerability in XMLOutputParser (CVE-2024-1455) (#19653) ... Patch potential XML vulnerability CVE-2024-1455 This patches a potential XML vulnerability in the XMLOutputParser in langchain-core. The vulnerability in some situations could lead to a denial of service attack. At risk are users that: 1) Running older distributions of python that have older version of libexpat 2) Are using XMLOutputParser with an agent 3) Accept inputs from untrusted sources with this agent (e.g., endpoint on the web that allows an untrusted user to interact wiith the parser)	5 months ago
Guangdong Liu	7042934b5f	community[patch]: Fix the bug that Chroma does not specify `embedding_function` (#19277) ... - **Issue:** close #18291 - @baskaryan, @eyurtsev PTAL	5 months ago
billytrend-cohere	85f57ab4cd	cohere[patch]: Fix cohere rerank (#19624) ... Fix cohere rerank inspired by https://github.com/langchain-ai/langchain/pull/19486	5 months ago
Eugene Yurtsev	8ab7bb3166	core[patch]: XMLOutputParser fix to handle changes to xml standard library (#19612) ... Newest python micro releases broke streaming in the XMLOutputParser. This fixes the parsing code to work with trailing junk after the XML content.	5 months ago
yuwenzho	3a7d2cf443	community[minor]: Add ITREX optimized Embeddings (#18474) ... Introduction [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms Description adding ITREX runtime embeddings using intel-extension-for-transformers. added mdx documentation and example notebooks added embedding import testing. --------- Signed-off-by: yuwenzho <yuwen.zhou@intel.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Juan Jose Miguel Ovalle Villamil	1fe10a3e3d	experimental[patch]: Enhance LLMGraphTransformer with async processing and improved readability (#19205) ... - [x] **PR title**: "experimental: Enhance LLMGraphTransformer with async processing and improved readability" - [x] **PR message**: - **Description:** This pull request refactors the `process_response` and `convert_to_graph_documents` methods in the LLMGraphTransformer class to improve code readability and adds async versions of these methods for concurrent processing. The main changes include: - Simplifying list comprehensions and conditional logic in the process_response method for better readability. - Adding async versions aprocess_response and aconvert_to_graph_documents to enable concurrent processing of documents. These enhancements aim to improve the overall efficiency and maintainability of the `LLMGraphTransformer` class. - **Issue:** N/A - **Dependencies:** No additional dependencies required. - **Twitter handle:** @jjovalle99 - [x] **Add tests and docs**: N/A (This PR does not introduce a new integration) - [x] **Lint and test**: Ran make format, make lint, and make test from the root of the modified package(s). All tests pass successfully. Additional notes: - The changes made in this PR are backwards compatible and do not introduce any breaking changes. - The PR touches only the `LLMGraphTransformer` class within the experimental package. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago