4257 Commits (fc79b372cb4b83566eca79f88178f0d49d665d15)

Author	SHA1	Message	Date
ccurme	4170e72a42	openai: fix loads unit test (#21542) ... following changes to tests in core here: https://github.com/langchain-ai/langchain/pull/21342/files	4 months ago
Erick Friis	3db85cbb5b	community: deps (#21508)	5 months ago
Erick Friis	8580e350be	cli: release 0.0.22 (#21507)	5 months ago
Anthony Chu	c735849e76	azure-dynamic-sessions: add Python REPL tool (#21264) ... Adds a Python REPL that executes code in a code interpreter session using Azure Container Apps dynamic sessions. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	02701c277f	langchain: core min version (#21506)	5 months ago
Erick Friis	13b01104c9	langchain: drop sqlalchemy max, release 0.2.0rc2 (#21504)	5 months ago
ccurme	375f447e58	community: fix builds with min dependencies (#21495)	5 months ago
Trayan Azarov	ba7d53689c	community: Chroma Adding create_collection_if_not_exists flag to Chroma constructor (#21420) ... - **Description:** Adds the ability to either `get_or_create` or simply `get_collection`. This is useful when dealing with read-only Chroma instances where users are constraint to using `get_collection`. Targeted at Http/CloudClients mostly. - **Issue:** chroma-core/chroma#2163 - **Dependencies:** N/A - **Twitter handle:** `@t_azarov` | Collection Exists | create_collection_if_not_exists | Outcome | test | |-------------------|---------------------------------|----------------------------------------------------------------|----------------------------------------------------------| | True | False | No errors, collection state unchanged | `test_create_collection_if_not_exist_false_existing` | | True | True | No errors, collection state unchanged | `test_create_collection_if_not_exist_true_existing` | | False | False | Error, `get_collection()` fails | `test_create_collection_if_not_exist_false_non_existing` | | False | True | No errors, `get_or_create_collection()` creates the collection | `test_create_collection_if_not_exist_true_non_existing` |	5 months ago
ccurme	3bb9bec314	bedrock: add unit test for retriever (#21485) ... This was implemented in https://github.com/langchain-ai/langchain/pull/21349 but dropped before merge.	5 months ago
Renu Rozera	4035a1d234	Add source metadata to bedrock retriever response (#21349) ... Thank you for contributing to LangChain! - [X] **PR title**: "community: Add source metadata to bedrock retriever response" - [X] **PR message**: - **Description:** Bedrock retrieve API returns extra metadata in the response which is currently not returned in the retriever response - **Issue:** The change adds the metadata from bedrock retrieve API response to the bedrock retriever in a backward compatible way. Renamed metadata to sourceMetadata as metadata term is being used in the Document already. This is in sync with what we are doing in llama-index as well. - **Dependencies:** No - [X] **Add tests and docs**: 1. Added unit tests 2. Notebook already exists and does not need any change 3. Response from end to end testing, just to ensure backward compatibility: `[Document(page_content='Exoplanets.', metadata={'location': {'s3Location': {'uri': 's3://bucket/file_name.txt'}, 'type': 'S3'}, 'score': 0.46886647, 'source_metadata': {'x-amz-bedrock-kb-source-uri': 's3://bucket/file_name.txt', 'tag': 'space', 'team': 'Nasa', 'year': 1946.0}})]` - [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, hwchase17. --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	5 months ago
Erick Friis	f178c67ad0	community: release 0.2.0rc1, bump deps (#21470)	5 months ago
William FH	b28be5d407	Pass through Run ID Explicitly (#21469)	5 months ago
Erick Friis	83eecd54fe	experimental: 0.2 relax (#21468)	5 months ago
roiperlman	9992beaff9	community: Add arguments to whisper parser (#20378) ... **Description:** Added a few additional arguments to the whisper parser, which can be consumed by the underlying API. The prompt is especially important to fine-tune transcriptions. --------- Co-authored-by: Roi Perlman <roi@fivesigmalabs.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Yash	cb31c3611f	Ndb enterprise (#21233) ... Description: Adds NeuralDBClientVectorStore to the langchain, which is our enterprise client. --------- Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>	5 months ago
Oguz Vuruskaner	5b35f077f9	[community][fix](DeepInfraEmbeddings): Implement chunking for large batches (#21189) ... **Description:** This PR introduces chunking logic to the `DeepInfraEmbeddings` class to handle large batch sizes without exceeding maximum batch size of the backend. This enhancement ensures that embedding generation processes large batches by breaking them down into smaller, manageable chunks, each conforming to the maximum batch size limit. **Issue:** Fixes #21189 **Dependencies:** No new dependencies introduced.	5 months ago
Sokolov Fedor	f4ddf64faa	community: Add MarkdownifyTransformer to langchain_community.document_transformers (#21247) ... - Added new document_transformer: MarkdonifyTransformer, that uses `markdonify` package with customizable options to convert HTML to Markdown. It's similar to Html2TextTransformer, but has more flexible options and also I've noticed that sometimes MarkdownifyTransformer performs better than html2text one, so that's why I use markdownify on my project. - Added docs and tests - Usage: ```python from langchain_community.document_transformers import MarkdownifyTransformer markdownify = MarkdownifyTransformer() docs_transform = markdownify.transform_documents(docs) ``` - Example of better performance on simple task, that I've noticed: ``` <html> <head><title>Reports on product movement</title></head> <body> <p data-block-key="2wst7">The reports on product movement will be useful for forming supplier orders and controlling outcomes.</p> </body> ``` **Html2TextTransformer**: ```python [Document(page_content='The reports on product movement will be useful for forming supplier orders and\ncontrolling outcomes.\n\n')] # Here we can see 'and\ncontrolling', which has extra '\n' in it ``` **MarkdownifyTranformer**: ```python [Document(page_content='Reports on product movement\n\nThe reports on product movement will be useful for forming supplier orders and controlling outcomes.')] ``` --------- Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.bbrouter> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.local> Co-authored-by: Sokolov Fedor <f.sokolov@192.168.1.6>	5 months ago
Alex JW	d3ce6aad2e	community: Instantiate GPT4AllEmbeddings with parameters (#21238) ... ### GPT4AllEmbeddings parameters --- **Description:** As of right now the **Embed4All** class inside _GPT4AllEmbeddings_ is instantiated as it's default which leaves no room to customize the chosen model and it's behavior. Thus: - GPT4AllEmbeddings can now be instantiated with custom parameters like a different model that shall be used. --------- Co-authored-by: AlexJauchWalser <alexander.jauch-walser@knime.com>	5 months ago
Philippe PRADOS	7be68228da	community[patch]: Make sql record manager fully compatible with async (#20735) ... The `_amake_session()` method does not allow modifying the `self.session_factory` with anything other than `async_sessionmaker`. This prohibits advanced uses of `index()`. In a RAG architecture, it is necessary to import document chunks. To keep track of the links between chunks and documents, we can use the `index()` API. This API proposes to use an SQL-type record manager. In a classic use case, using `SQLRecordManager` and a vector database, it is impossible to guarantee the consistency of the import. Indeed, if a crash occurs during the import (problem with the network, ...) there is an inconsistency between the SQL database and the vector database. With the [PR](https://github.com/langchain-ai/langchain-postgres/pull/32) we are proposing for `langchain-postgres`, it is now possible to guarantee the consistency of the import of chunks into a vector database. It's possible only if the outer session is built with the connection. ```python def main(): db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/" engine = create_engine(db_url, echo=True) embeddings = FakeEmbeddings() pgvector:VectorStore = PGVector( embeddings=embeddings, connection=engine, ) record_manager = SQLRecordManager( namespace="namespace", engine=engine, ) record_manager.create_schema() with engine.connect() as connection: session_maker = scoped_session(sessionmaker(bind=connection)) # NOTE: Update session_factories record_manager.session_factory = session_maker pgvector.session_maker = session_maker with connection.begin(): loader = CSVLoader( "data/faq/faq.csv", source_column="source", autodetect_encoding=True, ) result = index( source_id_key="source", docs_source=loader.load()[:1], cleanup="incremental", vector_store=pgvector, record_manager=record_manager, ) print(result) ``` The same thing is possible asynchronously, but a bug in `sql_record_manager.py` in `_amake_session()` must first be fixed. ```python async def _amake_session(self) -> AsyncGenerator[AsyncSession, None]: """Create a session and close it after use.""" # FIXME: REMOVE if not isinstance(self.session_factory, async_sessionmaker):~~ if not isinstance(self.engine, AsyncEngine): raise AssertionError("This method is not supported for sync engines.") async with self.session_factory() as session: yield session ``` Then, it is possible to do the same thing asynchronously: ```python async def main(): db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/" engine = create_async_engine(db_url, echo=True) embeddings = FakeEmbeddings() pgvector:VectorStore = PGVector( embeddings=embeddings, connection=engine, ) record_manager = SQLRecordManager( namespace="namespace", engine=engine, async_mode=True, ) await record_manager.acreate_schema() async with engine.connect() as connection: session_maker = async_scoped_session( async_sessionmaker(bind=connection), scopefunc=current_task) record_manager.session_factory = session_maker pgvector.session_maker = session_maker async with connection.begin(): loader = CSVLoader( "data/faq/faq.csv", source_column="source", autodetect_encoding=True, ) result = await aindex( source_id_key="source", docs_source=loader.load()[:1], cleanup="incremental", vector_store=pgvector, record_manager=record_manager, ) print(result) asyncio.run(main()) ``` --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Sean <sean@upstage.ai> Co-authored-by: JuHyung-Son <sonju0427@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: YISH <mokeyish@hotmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Jason_Chen <820542443@qq.com> Co-authored-by: Joan Fontanals <joan.fontanals.martinez@jina.ai> Co-authored-by: Pavlo Paliychuk <pavlo.paliychuk.ca@gmail.com> Co-authored-by: fzowl <160063452+fzowl@users.noreply.github.com> Co-authored-by: samanhappy <samanhappy@gmail.com> Co-authored-by: Lei Zhang <zhanglei@apache.org> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: merdan <48309329+merdan-9@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Andres Algaba <andresalgaba@gmail.com> Co-authored-by: davidefantiniIntel <115252273+davidefantiniIntel@users.noreply.github.com> Co-authored-by: Jingpan Xiong <71321890+klaus-xiong@users.noreply.github.com> Co-authored-by: kaka <kaka@zbyte-inc.cloud> Co-authored-by: jingsi <jingsi@leadincloud.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com> Co-authored-by: Michael Schock <mjschock@users.noreply.github.com> Co-authored-by: Anish Chakraborty <anish749@users.noreply.github.com> Co-authored-by: am-kinetica <85610855+am-kinetica@users.noreply.github.com> Co-authored-by: Dristy Srivastava <58721149+dristysrivastava@users.noreply.github.com> Co-authored-by: Matt <matthew.gotteiner@microsoft.com> Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	5 months ago
Andreas Motl	17e42bbd18	community[patch]: pgvector: Slight refactoring to make code a bit more reusable (#16243) ... - **Description:** Improve [pgvector vector store adapter](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py) to make it reusable by adapters deriving from that. - **Issue:** NA - **Dependencies:** NA - **References:** https://github.com/crate-workbench/langchain/pull/1 - **Addressed to:** @eyurtsev, @cbornet Hi from the CrateDB team, first of all, thanks a stack for conceiving and maintaining LangChain. We are currently [preparing a patch](https://github.com/crate-workbench/langchain/pull/1) for adding [CrateDB](https://github.com/crate/crate) to the list of community adapters. Because CrateDB aims to be compatible with PostgreSQL to some degree, the vector store subsystem in LangChain derives functionality from the corresponding implementation for pgvector. Therefore, in order to make the implementation more reusable, we needed to rename the private methods `__from` and `__query_collection` to the less private counterparts `_from` and `_query_collection`, so they can be overwritten, in order to unlock other adapters deriving from [pgvector](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py). With kind regards, Andreas.	5 months ago
Mehrdad Shokri	f103927b88	bugfix(community): fix Playwright import paths. (#21395) ... - **Description:** Fix import class name exporeted from 'playwright.async_api' and 'playwright.sync_api' to match the correct name in playwright tool. Change import from inline guard_import to helper function that calls guard_import to make code more readable in gmail tool. Upgrade playwright version to 1.43.0 - **Issue:** #21354 - **Dependencies:** upgrade playwright version(this is not required for the bugfix itself, just trying to keep dependencies fresh. I can remove the playwright version upgrade if you want.)	5 months ago
Shailendra Mishra	aa966b6161	Replaced bind variable in SQL with formatted string for compatibility with sql syntax. (#21439) ... 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.	5 months ago
Eugene Yurtsev	f92006de3c	multiple: langchain 0.2 in master (#21191) ... 0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
ccurme	6b392d6d12	robocorp: release 0.0.6 (#21441)	5 months ago
Tommi Holmgren	ee35b9ba56	langchain-robocorp: remove toolkit return content max length (#21436) ... Robocorp (action server) toolkit had a limitation that the content length returned by the tool was always cut to max 5000 chars. This was from the time when context windows were much more limited. This PR removes the limitation. Whatever the underlying tool provides gets sent back to the agent. As the robocorp toolkit no longer restricts the content, the implication is that either the Action (tool) developer or the agent developer needs to be aware of potentially oversized tool responses. Our point of view is this should be the agent developer's responsibility, them being in control of the use case and aware of the context window the LLM has.	5 months ago
JuHyung Son	710e57d779	upstage: deprecate UPSTAGE_DOCUMENT_AI_API_KEY (#21363) ... Description: We are merging UPSTAGE_DOCUMENT_AI_API_KEY and UPSTAGE_API_KEY into one, and only UPSTAGE_API_KEY will be used going forward. And we changed the base class of ChatUpstage to BaseChatOpenAI. --------- Co-authored-by: Sean <chosh0615@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	6a295d1ec0	upstage: release 0.1.4 (#21432)	5 months ago
Mateusz Szewczyk	7926cc1929	ibm: Fix llm and embeddings "verify" attribute default value (#21429) ... Thank you for contributing to LangChain! - [x] **PR title**: "langchain-ibm: Fix llm and embeddings 'verify' attribute default value" - [x] **PR message**: - **Description:** fix default value of "verify" attribute - **Dependencies:** `ibm_watsonx_ai` - [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/ Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Dobiichi-Origami	5b00885b49	community: add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` (#21412) ... …Endpoint` Thank you for contributing to LangChain! - [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:** add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` - [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/	5 months ago
Silas Xu	aafaf3e193	The predict_and_parse is deprecated, instead pass an output parser directly to LLMChain. (#20130) ... The `predict_and_parse` method is deprecated, instead pass an output parser directly to LLMChain. - [x] **PR title**: "langchain: update chain_extract.py"  --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
ccurme	3c31bd0ed0	langchain: update use of predict_and_parse in LLMChainFilter (#21389) ... Following https://github.com/langchain-ai/langchain/pull/20130 Removes deprecation warnings in docs here: https://python.langchain.com/docs/modules/data_connection/retrievers/contextual_compression/ Tested using the same docs notebook + existing integration test.	5 months ago
Erick Friis	bbdf0f8801	experimental[patch]: core and langchain dep (#21402)	5 months ago
Erick Friis	e4aca0d052	experimental[patch]: release 0.0.58 (#21397)	5 months ago
Leonid Ganeline	791d59a2c8	community: `callbacks` guard_imports (#21173) ... Issue: we have several helper functions to import third-party libraries like import_uptrain in [community.callbacks](https://api.python.langchain.com/en/latest/callbacks/langchain_community.callbacks.uptrain_callback.import_uptrain.html#langchain_community.callbacks.uptrain_callback.import_uptrain). And we have core.utils.utils.guard_import that works exactly for this purpose. The import_<package> functions work inconsistently and rather be private functions. Change: replaced these functions with the guard_import function. Related to #21133	5 months ago
Rahul Triptahi	7994cba18d	[Community][Minor]: Fetch loader_source of GoogleDriveLoader in PebbloSafeLoader. (#21314) ... Description: This PR includes fix for loader_source to be fetched from metadata in case of GdriveLoaders. Documentation: NA Unit Test: NA Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	5 months ago
Nuno Campos	ad0f3c14c2	core: allow mermaid node labels to have any characters (#21385) ... - it's only node ids that are limited 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.	5 months ago
Eugene Yurtsev	6a1d61dbf1	community[patch]: Fix in memory vectorstore to take into account ids when adding docs (#21384) ... Should respect `ids` if passed	5 months ago
Miroslav	04e2611fea	Added additional headers for HuggingFaceInferenceAPIEmbeddings endpoint. (#21282) ... Thank you for contributing to LangChain! - [ ] **HuggingFaceInferenceAPIEmbeddings**: "Additional Headers" - Where: langchain, community, embeddings. huggingface.py. - Community: add additional headers when needed by custom HuggingFace TEI embedding endpoints. HuggingFaceInferenceAPIEmbeddings" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Adding the `additional_headers` to be passed to requests library if needed - **Dependencies:** none - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. Tested with locally available TEI endpoints with and without `additional_headers` 2. Example Usage ```python embeddings=HuggingFaceInferenceAPIEmbeddings( api_key=MY_CUSTOM_API_KEY, api_url=MY_CUSTOM_TEI_URL, additional_headers={ "Content-Type": "application/json" } ) ``` 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: Massimiliano Pronesti <massimiliano.pronesti@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	5 months ago
Guangdong Liu	1fe66f5d39	community(patch) fix MoonshotChat moonshot_api_key is invaild for api key (#21361) ... Description: close https://github.com/langchain-ai/langchain/issues/21237 @baskaryan, @eyurtsev	5 months ago
Tomaz Bratanic	0bf7596839	Add simple node properties to llm graph transformer (#21369) ... Add support for simple node properties in llm graph transformer. Linter and dynamic pydantic classes aren't friends, hence I added two ignores	5 months ago
ccurme	080af0ec53	langchain: sync -> async methods in OpenAI assistants (#21378)	5 months ago
Tomaz Bratanic	ad3fd44a7f	experimental: Fix llm graph transformer bug (#21362)	5 months ago
Erick Friis	bb81ae5c8c	together: fix chat model and embedding classes (#21353)	5 months ago
Hassan El Mghari	d6ef5fe86a	together: add chat models, use openai base (#21337) ... **Description:** Adding chat completions to the Together AI package, which is our most popular API. Also staying backwards compatible with the old API so folks can continue to use the completions API as well. Also moved the embedding API to use the OpenAI library to standardize it further. **Twitter handle:** @nutlope - [x] **Add tests and docs**: If you're adding a new integration, please include - [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/ If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Jacob Lee	a2d31307bb	Adds confirmation logs after creating a new project (#12618) ... @efriis @hwchase17 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	0fb93cd740	core: release 0.1.52 (#21350)	5 months ago
Wu Enze	32c61b3ece	community[patch]: chat message history mypy fixes #17048 (#20114) ... Relates [#17048] Description : Applied fix to redis and neo4j file. Error was : `Cannot override writeable attribute with read-only property` fix with the same solution of [[langchain/libs/community/langchain_community/chat_message_histories/elasticsearch.py](d5c412b0a9/libs/community/langchain_community/chat_message_histories/elasticsearch.py (L170-L175))] --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
nrpd25	95cc8e3fc3	premai[patch]:Standardized model init args (#21308) ... [Standardized model init args #20085](https://github.com/langchain-ai/langchain/issues/20085) - Enable premai chat model to be initialized with `model_name` as an alias for `model`, `api_key` as an alias for `premai_api_key`. - Add initialization test `test_premai_initialization` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Nuno Campos	6f17158606	fix: core: Include in json output also fields set outside the constructor (#21342)	5 months ago
Tomaz Bratanic	ac14f171ac	Add indexed properties to neo4j enhanced schema (#21335)	5 months ago
scaserini	a6cdf6572f	community: add Kendra DocumentRelevanceOverrideConfigurations request parameter (#20695) ... - **Description:** add **DocumentRelevanceOverrideConfigurations** request parameter to Kendra retriever Co-authored-by: Simone Caserini <simone.caserini@klarna.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Nuno Campos	0345bcf4ef	Fix failing test for serialization (#21344) ... 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.	5 months ago
Trayan Azarov	93226b1945	community: Updated Chroma version range to include 0.5.0 release (#21224) ... - Updated Chroma version range to allow releases in 0.5.x. - Bumped mypy version as linting was failing	5 months ago
Jorge Piedrahita Ortiz	e65652c3e8	community: add SambaNova embeddings integration (#21227) ... - **Description:** SambaNova hosted embeddings integration	5 months ago
Jorge Piedrahita Ortiz	df1c10260c	community: minor changes sambanova integration (#21231) ... - **Description:** fix: variable names in root validator not allowing pass credentials as named parameters in llm instancing, also added sambanova's sambaverse and sambastudio llms to __init__.py for module import	5 months ago
Jan Soubusta	d9a61c0fa9	fix: respect table_name argument when calling from_texts (#21252) ... valid for from_documents() as well fixes #21251	5 months ago
Pedro Lima	bebf46c4a2	community: added args_schema to YahooFinanceNewsTool (#21232) ... Description: this change adds args_schema (pydantic BaseModel) to YahooFinanceNewsTool for correct schema formatting on LLM function calls Issue: currently using YahooFinanceNewsTool with OpenAI function calling returns the following error "TypeError("YahooFinanceNewsTool._run() got an unexpected keyword argument '__arg1'")". This happens because the schema sent to the LLM is "input: "{'__arg1': 'MSFT'}"" while the method should be called with the "query" parameter. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Mark Cusack	060987d755	community[minor]: Add indexing via locality sensitive hashing to the Yellowbrick vector store (#20856) ... - **Description:** Add LSH-based indexing to the Yellowbrick vector store module - **Twitter handle:** @markcusack --------- Co-authored-by: markcusack <markcusack@markcusacksmac.lan> Co-authored-by: markcusack <markcusack@Mark-Cusack-sMac.local> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Rashmi Pawar	a2fdabdad2	mark NemoEmbeddings as deprecated (#21239) ... The NemoEmbeddings is deprecated, instead use langchain-nvidia-ai-endpoints NVIDIAEmbeddings interface. cc: @mattf --------- Co-authored-by: Daniel Glogowski <167348611+dglogo@users.noreply.github.com> Co-authored-by: andyjessen <62343929+andyjessen@users.noreply.github.com> Co-authored-by: Chris Germann <88305668+TAAGECH9@users.noreply.github.com> Co-authored-by: gere <gere@kapo.zh.ch> Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Erick Friis	9e4b24a2d6	langchain: release 0.1.18 (#21338)	5 months ago
Erick Friis	5c000f8d79	community: release 0.0.37 (#21332)	5 months ago
Leonid Ganeline	8c13e8a79b	langchain: `qa_chain` fix (#21279) ... Issue: `load_qa_chain` is placed in the __init__.py file. As a result, it is not listed in the API Reference docs. BTW `load_qa_chain` is heavily presented in the doc examples, but is missed in API Ref. Change: moved code from init.py into a new file. Related: #21266	5 months ago
Erick Friis	7ecf9996f1	community: Revert "community: langkit dependency" (#21333) ... Reverts langchain-ai/langchain#21174 Hey team - going to revert this because it doesn't seem necessary for testing. We should only be adding optional + extended_testing dependencies for deps that have extended tests. otherwise it just increases probability of dependency conflicts in the community lockfile.	5 months ago
Param Singh	fee91d43b7	baichuan[patch]:standardize chat init args (#21298) ... Thank you for contributing to LangChain! community:baichuan[patch]: standardize init args updated `baichuan_api_key` so that aliased to `api_key`. Added test that it continues to set the same underlying attribute. Test checks for `SecretStr` updated `temperature` with Pydantic Field, added unit test. Related to https://github.com/langchain-ai/langchain/issues/20085	5 months ago
Christophe Bornet	484a009012	community[minor]: Relax constraints on Cassandra VectorStore constructors (#21209) ... If Session and/or keyspace are not provided, they are resolved from cassio's context. So they are not required. This change is fully backward compatible.	5 months ago
Leonid Ganeline	6feddfae88	community: langkit dependency (#21174) ... Issue: the `langkit` package is not presented in the `pyproject.toml` but it is a requirement for the `WhyLabsCallbackHandler` Change: added `langkit` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Erick Friis	811e9cee8b	core: release 0.1.51 (#21328)	5 months ago
Mateusz Szewczyk	682d21c3de	ibm: Add support for ibm-watsonx-ai new major version (#21313) ... Thank you for contributing to LangChain! - [x] **PR title**: "langchain-ibm: Add support for ibm-watsonx-ai new major version" - [x] **PR message**: - **Description:** Add support for ibm-watsonx-ai new major version - **Dependencies:** `ibm_watsonx_ai` - [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/ Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Chris Papademetrious	ee6c922c91	langchain[minor]: enhance `LocalFileStore` to offer `update_atime` parameter that updates access times on read (#20951) ... **Description:** The `LocalFileStore` class can be used to create an on-disk `CacheBackedEmbeddings` cache. The number of files in these embeddings caches can grow to be quite large over time (hundreds of thousands) as embeddings are computed for new versions of content, but the embeddings for old/deprecated content are not removed. A *least-recently-used* (LRU) cache policy could be applied to the `LocalFileStore` directory to delete cache entries that have not been referenced for some time: ```bash # delete files that have not been accessed in the last 90 days find embeddings_cache_dir/ -atime 90 -print0 | xargs -0 rm ``` However, most filesystems in enterprise environments disable access time modification on read to improve performance. As a result, the access times of these cache entry files are not updated when their values are read. To resolve this, this pull request updates the `LocalFileStore` constructor to offer an `update_atime` parameter that causes access times to be updated when a cache entry is read. For example, ```python file_store = LocalFileStore(temp_dir, update_atime=True) ``` The default is `False`, which retains the original behavior. **Testing:** I updated the LocalFileStore unit tests to test the access time update.	5 months ago
Tomaz Bratanic	5b6d1a907d	Add the extract types to diffbot graph transformer (#21315) ... Before you could only extract triples (diffbot calls it facts) from diffbot to avoid isolated nodes. However, sometimes isolated nodes can still be useful like for prefiltering, so we want to allow users to extract them if they want. Default behaviour is unchanged.	5 months ago
aditya thomas	b868c78a12	partners[anthropic]: update unit test for key passed in from the environment (#21290) ... **Description:** Update unit test for ChatAnthropic **Issue:** Test for key passed in from the environment should not have the key initialized in the constructor **Dependencies:** None	5 months ago
Rohan Aggarwal	8021d2a2ab	community[minor]: Oraclevs integration (#21123) ... Thank you for contributing to LangChain! - Oracle AI Vector Search Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. - Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. This Pull Requests Adds the following functionalities Oracle AI Vector Search : Vector Store Oracle AI Vector Search : Document Loader Oracle AI Vector Search : Document Splitter Oracle AI Vector Search : Summary Oracle AI Vector Search : Oracle Embeddings - We have added unit tests and have our own local unit test suite which verifies all the code is correct. We have made sure to add guides for each of the components and one end to end guide that shows how the entire thing runs. - We have made sure that make format and make lint run clean. 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: skmishraoracle <shailendra.mishra@oracle.com> Co-authored-by: hroyofc <harichandan.roy@oracle.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
ccurme	c9e9470c5a	langchain: fix deprecation decorators on extraction chains (#21276) ... Calling any of these raises ``` ValueError: A pending deprecation cannot have a scheduled removal ```	5 months ago
Wickes Wong	ee1adaacaa	langchain[patch]: Fix summary buffer memory with return message flag (#21115) ... ## Description Memory return could be set as `str` or `message` by `return_messages` flag as mentioned in https://python.langchain.com/docs/modules/memory/#whether-memory-is-a-string-or-a-list-of-messages, where `langchain.chains.conversation.memory.ConversationSummaryBufferMemory` did not implement that. This commit added `buffer_as_str` and `buffer_as_messages` function, and `buffer` now affected by `return_messages` flag. ## Example Test Code and Output ```python # Fix: ConversationSummaryBufferMemory with return_messages flag function # Test code from langchain.chains.conversation.memory import ConversationSummaryBufferMemory from langchain_community.llms.ollama import Ollama llm = Ollama() # Create an instance of ConversationSummaryBufferMemory with return_messages set to True memory = ConversationSummaryBufferMemory(return_messages=True, llm=llm) # Add user and AI messages to the chat memory memory.chat_memory.add_user_message("hi!") memory.chat_memory.add_ai_message("what's up?") # Print the buffer print("Buffer:") print(*map(type, memory.buffer), sep="\n") print(memory.buffer, "\n") # Print the buffer as a string print("Buffer as String:") print(type(memory.buffer_as_str)) print(memory.buffer_as_str, "\n") # Print the buffer as messages print("Buffer as Messages:") print(*map(type, memory.buffer_as_messages), sep="\n") print(memory.buffer_as_messages, "\n") # Print the buffer after setting return_messages to False memory.return_messages = False print("Buffer after setting return_messages to False:") print(type(memory.buffer)) print(memory.buffer, "\n") ``` ```plaintext Buffer: <class 'langchain_core.messages.human.HumanMessage'> <class 'langchain_core.messages.ai.AIMessage'> [HumanMessage(content='hi!'), AIMessage(content="what's up?")] Buffer as String: <class 'str'> Human: hi! AI: what's up? Buffer as Messages: <class 'langchain_core.messages.human.HumanMessage'> <class 'langchain_core.messages.ai.AIMessage'> [HumanMessage(content='hi!'), AIMessage(content="what's up?")] Buffer after setting return_messages to False: <class 'str'> Human: hi! AI: what's up? ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Leonid Ganeline	9639457222	community[patch]: `tools` imports (#21156) ... Issue: we have several helper functions to import third-party libraries like tools.gmail.utils.import_google in [community.tools](https://api.python.langchain.com/en/latest/community_api_reference.html#id37). And we have core.utils.utils.guard_import that works exactly for this purpose. The import_<package> functions work inconsistently and rather be private functions. Change: replaced these functions with the guard_import function. Related to #21133	5 months ago
Leonid Ganeline	3ef8b24277	core[patch]: `utils.guard_import` fix (#21133) ... Issues (nit): 1. `utils.guard_import` prints wrong error message when there is an import `error.` It prints the whole `module_name` but should be only the first part as the pip package name. E.i. `langchain_core.utils` -> print not `langchain-core` but `langchain_core.utils`. Also replace '_' with '-' in the pip package name. 2. it does not handle the `ModuleNotFoundError` which raised if `guard_import("wrong_module")` Fixed issues; added ut-s. Controversial: I've reraised `ModuleNotFoundError` as `ImportError`, since in case of the error, the proposed action is the same - we need to install a missed package.	5 months ago
Erick Friis	36c2ca3c8b	mistralai: relax tokenizers dep (#21277)	5 months ago
Nuno Campos	6e1e0c7d5c	fix: core: draw_mermaid() would create subgroup for edges with same src and tgt (#21275) ... 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.	5 months ago
Eugene Yurtsev	26a37dce0a	langchain[patch]: Remove jsonpatch from poetry file (#21272) ... jsonpatch is only used in langchain-core not in langchain	5 months ago
Eugene Yurtsev	335bd01e45	langchain[patch]: Update deprecation warning (#21268) ... Update deprecation warning	5 months ago
Leonid Ganeline	23a05c3986	langchain: `summarize` chain fix (#21266) ... Issue: `load_summarize_chain` is placed in the __init__.py file. As a result, it doesn't listed in the API Reference docs. Change: moved code from __init__.py into a new file.	5 months ago
ccurme	6da3d92b42	(all): update removal in deprecation warnings from 0.2 to 0.3 (#21265) ... We are pushing out the removal of these to 0.3. `find . -type f -name "*.py" -exec sed -i '' 's/removal="0\.2/removal="0.3/g' {} +`	5 months ago
Eugene Yurtsev	d6e34f9ee5	langchain[patch]: Improve deprecation warnings (#21262) ... * Remove spurious derprecation warning * Make deprecation warnings consistent with 0.1 namespaces that were announced as deprecated	5 months ago
Eugene Yurtsev	487aff7e46	langchain[patch]: Revert 20794 until 0.2 release (#21257) ... PR of 2079 was already released as part of 0.1.17rc. Issue for 0.2 release: https://github.com/langchain-ai/langchain/issues/21080	5 months ago
Eugene Yurtsev	ba4a309d98	langchain[patch]: Revert breaking change until 0.2 release (#21256) ... Reverts a minor breaking change until 0.2 release	5 months ago
Eugene Yurtsev	66a1e3f083	langchain[patch]: Fix flaky unit test (#21258) ... Should sort the results of the import test since it depends on import order	5 months ago
Eugene Yurtsev	0989c48028	langchain[minor]: Re-add deleted ainetwork tool (#21254) ... * Adding __init__.py to turn it into a package in community * Adding proxy imports that assume that langchain_community is optional	5 months ago
Christophe Bornet	2fbe82f5e6	community[minor]: Relax constraints on CassandraChatMessageHistory constructor (#21241)	5 months ago
Chris Germann	3a8d1d8838	Hotfix RetrievalQA Docs: docs: Fix formatting (#21183) ... # Newline Characters breaking formatting **Description**: As you can see in the image below, the formatting in the documentation is broken. As far as I can see the two added `\n` characters are breaking the documentation. Therefore I would propose to remove those  **Dependencies**: None **Twitter Handle** - epu9byj --------- Co-authored-by: gere <gere@kapo.zh.ch> Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Bagatur	67a5cc34c6	openai[patch]: Release 0.1.6 (#21236)	5 months ago
Erick Friis	c1eb95b967	core: release 0.1.50 (#21230)	5 months ago
Nuno Campos	47ce8d5a57	core: tracer: remove numeric execution order (#21220) ... - this hasn't been used in a long time and requires some additional bookkeeping i'm going to streamline in the next pr	5 months ago
Bagatur	6ac6158a07	openai[patch]: support tool_choice="required" (#21216) ... Co-authored-by: ccurme <chester.curme@gmail.com>	5 months ago
xindoo	c1aa237bc2	langchain: fix syntax error in code comment for create_tool_calling_agent (#21205) ... **PR message**: - **Description:** Corrected a syntax error in the code comments within the `create_tool_calling_agent` function in the langchain package. - **Issue:** N/A - **Dependencies:** No additional dependencies required. - **Twitter handle:** N/A	5 months ago
ccurme	eb0a2fd53a	mistral: release 0.1.6 (#21214)	5 months ago
ccurme	2d77e5e3a1	(standard tests): add test for basic conversation sequence (#21213)	5 months ago
Maxime Perrin	1ebb5a70ad	partners(mistralai): Removing unused variable in completion request (using tool_calls or content) (#21201) ... This PR fixes #21196. The error was occurring when calling chat completion API with a chat history. Indeed, the Mistral API does not accept both `content` and `tool_calls` in the same body. This PR removes one of theses variables depending on the necessity. --------- Co-authored-by: Maxime Perrin <mperrin@doing.fr> Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Christophe Bornet	683fb45c6b	community[patch]: Refactor CassandraDatabase wrapper (#21075) ... * Introduce individual `fetch_` methods for easier typing. * Rework some docstrings to google style * Move some logic to the tool * Merge the 2 cassandra utility files	5 months ago
Raghav Dixit	7d451d0041	community[patch]: Update lancedb.py (#21192) ... very minor update in LanceDB integration, 'metric' argument was missing.	5 months ago
Bagatur	d297d90ad9	core[patch]: Release 0.1.49 (#21211)	5 months ago
Nuno Campos	663747b730	core[patch]: Fixes for convert_messages (#21207) ... - support two-tuples of any sequence type (eg. json.loads never produces tuples) - support type alias for role key - if id is passed in in dict form use it - if tool_calls passed in in dict form use them --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Eugene Yurtsev	df49404794	langchain[patch]: Make more memory code handle community dependency as optional (#21199)	5 months ago
ccurme	bd5d2c2674	langchain: import InMemoryChatMessageHistory from core (#21198)	5 months ago
Eugene Yurtsev	3cd7fced5f	langchain[patch],community[minor]: Migrate memory implementations to community (#20845) ... Migrates memory implementations to community	5 months ago
Eugene Yurtsev	b5c3a04e4b	langchain[patch]: chat histories to handle optional community dependence (#21194)	5 months ago
Eugene Yurtsev	c9119b0e75	langchain[patch],community[minor]: Move some unit tests from langchain to community, use core for fake models (#21190)	5 months ago
Eugene Yurtsev	c306364b06	langchain[patch]: Update more code to use langchain community as an optional dependency (#21170) ... More code to use langchain community as an optional dependency	5 months ago
Bagatur	6fa8626e2f	openai[patch]: fix azure open lc serialization, release 0.1.5 (#21159)	5 months ago
Eugene Yurtsev	94a838740e	langchain[patch]: Migrate more code in utils to use optional langchain import (#21166) ... Moving is interactive util to avoid circular deps	5 months ago
Eugene Yurtsev	23fdd320bc	langchain[patch]: Migrate more code to use optional community in agents namespace (#21167)	5 months ago
Tomaz Bratanic	9e53fa7d2e	Some more fixes to neo4j enhanced schema (#21139)	5 months ago
Erick Friis	0694538c39	ai21: fix core version (#21168)	5 months ago
Eugene Yurtsev	44602bdc20	langchain[patch],community[minor]: Move load_tools to community (#21158) ... Move load tools to community	5 months ago
Eugene Yurtsev	9932f49b3e	langchain[patch]: Migrate llms to use optional community imports (#21101)	5 months ago
Eugene Yurtsev	57e8e70daa	langchain[patch]: Migrate chat models to optional community imports (#21090) ... Migrate chat models to optional community imports	5 months ago
Eugene Yurtsev	2914abd747	langchain[patch]: Fix how the serializable test identifies serializable objects (#21165) ... dir() will not work if we're using optional imports. The only way to do this is by using contents of __all__	5 months ago
Eugene Yurtsev	23c5d87311	langchain[patch]: Migrate utils to use optional langchain_community (#21163) ... Migrate utils to use optional imports from langchain community	5 months ago
Eugene Yurtsev	bec3eee3fa	langchain[patch]: Migrate retrievers to use optional langchain community imports (#21155)	5 months ago
Eugene Yurtsev	43110daea5	langchain[patch]: Update some agent tool kits to handle community import as optional (#21157) ... A few things that were not caught by the migration script	5 months ago
Eugene Yurtsev	59f10ab3e0	langchain[patch]: Migrate embeddings to optional imports (#21099)	5 months ago
Eugene Yurtsev	2f709d94d7	langchain[patch]: Migrate vectorstores to use optional langchain community imports (#21150)	5 months ago
Eugene Yurtsev	7230e430db	langchain[patch]: Migrate top level files to use optional langchain community (#21152) ... Migrate a few top level files to treat langchain community as an optional dependency	5 months ago
Erick Friis	daab9789a8	ai21: release 0.1.4 (#21151)	5 months ago
Asaf Joseph Gardin	642975dd9f	partners: AI21 Labs Jamba Support (#20815) ... Description: Added support for AI21 new model - Jamba Twitter handle: https://github.com/AI21Labs --------- Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Eugene Yurtsev	7a39fe60da	langchain[patch]: Migrate utilities to handle langchain community as optional (#21149)	5 months ago
Eugene Yurtsev	b879184595	langchain[patch]: embedddings distance move import of openai embeddings into local scope (#21148)	5 months ago
Eugene Yurtsev	0e5bf16d00	langchain[patch]: Migrate document loaders to use optional langchain community imports (#21095)	5 months ago
Harrison Chase	4d1c21d97d	community[patch]: Fix alternative name in deprecation notice for sql_database (#21144)	5 months ago
East Agile	2a6f78a53f	community[minor]: Rememberizer retriever (#20052) ... **Description:** This pull request introduces a new feature for LangChain: the integration with the Rememberizer API through a custom retriever. This enables LangChain applications to allow users to load and sync their data from Dropbox, Google Drive, Slack, their hard drive into a vector database that LangChain can query. Queries involve sending text chunks generated within LangChain and retrieving a collection of semantically relevant user data for inclusion in LLM prompts. User knowledge dramatically improved AI applications. The Rememberizer integration will also allow users to access general purpose vectorized data such as Reddit channel discussions and US patents. **Issue:** N/A **Dependencies:** N/A **Twitter handle:** https://twitter.com/Rememberizer	5 months ago
Eugene Yurtsev	1ce1a10f2b	langchain[patch],community[minor]: Move graph index creator (#20795) ... Move graph index creator to community	5 months ago
Eugene Yurtsev	aa0bc7467c	langchain[patch]: Migrate agents module into optional imports for community (#21088)	5 months ago
Eugene Yurtsev	86ff8a3fb4	langchain[patch]: Update docstore module to use optional imports from community (#21091)	5 months ago
Eugene Yurtsev	d640605694	langchain[patch]: Migrate chat loaders to optional community imports (#21089) ... Migrate chat loaders to optional community imports	5 months ago
Eugene Yurtsev	2fcab9acd9	langchain[patch]: Upgrade storage to treat langchain community as optional (#21105)	5 months ago
William FH	ab55f6996d	[Core] Tracing: update parent run_tree's child_runs (#21049)	5 months ago
aditya thomas	12b1caf295	openai[patch]: add tests for secret_str for keys (#20982) ... **Description:** Add tests to check API keys and Active Directory tokens are masked **Issue:** Resolves #12165 for OpenAI and Azure OpenAI models **Dependencies:** None Also resolves #12473 which may be closed. Additional contributors @alex4321 (#12473) and @onesolpark (#12542)	5 months ago
Noah	45ddf4d26f	community[patch]: Update comments for lazy_load method (#21063) ... - [ ] **PR message**: - **Description:** Refactored the lazy_load method to use asynchronous execution for improved performance. The method now initiates scraping of all URLs simultaneously using asyncio.gather, enhancing data fetching efficiency. Each Document object is yielded immediately once its content becomes available, streamlining the entire process. - **Issue:** N/A - **Dependencies:** Requires the asyncio library for handling asynchronous tasks, which should already be part of standard Python libraries in Python 3.7 and above. - **Email:** [r73327118@gmail.com](mailto:r73327118@gmail.com) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Liu Xiaodong	3b473d10f2	experimental: clean python repl input（experimental：Added code for PythonREPL） (#20930) ... Update python.py（experimental：Added code for PythonREPL） Added code for PythonREPL, defining a static method 'sanitize_input' that takes the string 'query' as input and returns a sanitizing string. The purpose of this method is to remove unwanted characters from the input string, Specifically: 1. Delete the whitespace at the beginning and end of the string (' \s'). 2. Remove the quotation marks (`` ` ``) at the beginning and end of the string. 3. Remove the keyword "python" at the beginning of the string (case insensitive) because the user may have typed it. This method uses regular expressions (regex) to implement sanitizing. It all started with this code： from langchain.agents import Tool from langchain_experimental.utilities import PythonREPL python_repl = PythonREPL() repl_tool = Tool( name="python_repl", description="Remove redundant formatting marks at the beginning and end of source code from input.Use a Python shell to execute python commands. If you want to see the output of a value, you should print it out with `print(...)`.", func=python_repl.run, ) When I call the agent to write a piece of code for me and execute it with the defined code, I must get an error: SyntaxError('invalid syntax', ('<string>', 1, 1,'In', 1, 2)) After checking, I found that pythonREPL has less formatting of input code than the soon-to-be deprecated pythonREPL tool, so I added this step to it, so that no matter what code I ask the agent to write for me, it can be executed smoothly and get the output result. I have tried modifying the prompt words to solve this problem before, but it did not work, and by adding a simple format check, the problem is well resolved. <img width="1271" alt="image" src="https://github.com/langchain-ai/langchain/assets/164149097/c49a685f-d246-4b11-b655-fd952fc2f04c"> --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Ismail Hossain Polas	1fdf63fa6c	community[patch]: update package name to bagelML (#19948) ... **Description** This pull request updates the Bagel Network package name from "betabageldb" to "bagelML" to align with the latest changes made by the Bagel Network team. The following modifications have been made: - Updated all references to the old package name ("betabageldb") with the new package name ("bagelML") throughout the codebase. - Modified the documentation, and any relevant scripts to reflect the package name change. - Tested the changes to ensure that the functionality remains intact and no breaking changes were introduced. By merging this pull request, our project will stay up to date with the latest Bagel Network package naming convention, ensuring compatibility and smooth integration with their updated library. Please review the changes and provide any feedback or suggestions. Thank you!	5 months ago
Tomaz Bratanic	7860e4c649	experimental[patch]: Add support for non-function calling LLMs in llm graph transformers (#21014)	5 months ago
tianzedavid	5a8909440b	docs: remove repetitive words (#21058) ... remove repetitive words Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Tomaz Bratanic	c9e96bb5e2	community[patch]: Fix neo4j enhanced schema bugs (#21072)	5 months ago
junkeon	8d2909ee25	upstage[minor]: Update few codes and add upstage loader in pdf section (#21085) ... **Description:** Update UpstageLayoutAnalysisParser and Loader and add upstage loader example in pdf section **Dependencies:** langchain_community **Twitter handle:** [@upstageai](https://twitter.com/upstageai) - [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, hwchase17.	5 months ago
Bagatur	bef50ded63	openai[patch]: fix special token default behavior (#21131) ... By default handle special sequences as regular text	5 months ago
MacanPN	0f7f448603	community[patch]: add delete() method to AzureSearch vector store (#21127) ... **Issue:** Currently `AzureSearch` vector store does not implement `delete` method. This PR implements it. This also makes it compatible with LangChain indexer. **Dependencies:** None **Twitter handle:** @martintriska1 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Erick Friis	14422a4220	langchain: fix core dep (#21128)	5 months ago
Erick Friis	6c938da302	langchain: release 0.1.17 (#21125)	5 months ago
Eugene Yurtsev	bf95414758	langchain[minor]: enhance unit test to test imports recursively (#21122)	5 months ago
Eugene Yurtsev	e4f51f59a2	langchain[patch]: Migrate tools to treat community imports as optional (#21117) ... Migrate tools to treat community imports as optional	5 months ago
Eugene Yurtsev	9e788f09c6	langchain[patch]: Migrate output parsers to support optional community imports (#21103) ... Migrate output parsers	5 months ago