langchain

Commit Graph

Author	SHA1	Message	Date
Massimiliano Pronesti	0c0db7c5db	feat(community): support semantic hybrid score threshold in Azure AI Search (#21527 ) Support semantic hybrid search with a score threshold -- similar to what we do for similarity search and for hybrid search (#20907).	2 weeks ago
Bagatur	6416d16d39	anthropic[patch]: Release 0.1.13, tool_choice support (#21773 )	3 weeks ago
Stefano Lottini	040597e832	community: init signature revision for Cassandra LLM cache classes + small maintenance (#17765 ) This PR improves on the `CassandraCache` and `CassandraSemanticCache` classes, mainly in the constructor signature, and also introduces several minor improvements around these classes. ### Init signature A (sigh) breaking change is tentatively introduced to the constructor. To me, the advantages outweigh the possible discomfort: the new syntax places the DB-connection objects `session` and `keyspace` later in the param list, so that they can be given a default value. This is what enables the pattern of _not_ specifying them, provided one has previously initialized the Cassandra connection through the versatile utility method `cassio.init(...)`. In this way, a much less unwieldy instantiation can be done, such as `CassandraCache()` and `CassandraSemanticCache(embedding=xyz)`, everything else falling back to defaults. A downside is that, compared to the earlier signature, this might turn out to be breaking for those doing positional instantiation. As a way to mitigate this problem, this PR typechecks its first argument trying to detect the legacy usage. (And to make this point less tricky in the future, most arguments are left to be keyword-only). If this is considered too harsh, I'd like guidance on how to further smoothen this transition. Our plan is to make the pattern of optional session/keyspace a standard across all Cassandra classes, so that a repeatable strategy would be ideal. A possibility would be to keep positional arguments for legacy reasons but issue a deprecation warning if any of them is actually used, to later remove them with 0.2 - please advise on this point. ### Other changes - class docstrings: enriched, completely moved to class level, added note on `cassio.init(...)` pattern, added tiny sample usage code. - semantic cache: revised terminology to never mention "distance" (it is in fact a similarity!). Kept the legacy constructor param with a deprecation warning if used. - `llm_caching` notebook: uniform flow with the Cassandra and Astra DB separate cases; better and Cassandra-first description; all imports made explicit and from community where appropriate. - cache integration tests moved to community (incl. the imported tools), env var bugfix for `CASSANDRA_CONTACT_POINTS`. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Kyle Cassidy	eca8c4bcc6	Standardized openai init params (#21739 ) ## Patch Summary community:openai[patch]: standardize init args ## Details I made changes to the OpenAI Chat API wrapper test in the Langchain open-source repository - File: `libs/community/tests/unit_tests/chat_models/test_openai.py` - Changes: - Updated `max_retries` with Pydantic Field - Updated the corresponding unit test - Related Issues: #20085 - Updated max_retries with Pydantic Field, updated the unit test. --------- Co-authored-by: JuHyung Son <sonju0427@gmail.com>	3 weeks ago
Ethan Yang	e44b448ec3	community: update openvino doc with streaming support (#21519 ) Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
ccurme	19e6bf814b	community: fix CI (#21766 )	3 weeks ago
Mish Ushakov	d77e60a7f4	community: updated Browserbase loader (#21757 ) Thank you for contributing to LangChain! - [x] PR title: "community: updated Browserbase loader" - [x] PR message: Updates the Browserbase loader with more options and improved docs. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	3 weeks ago
Eugene Yurtsev	6ed0aa3239	core[major]: only use function description (#21622 ) Do not prefix function signature --- * Reason for this is that information is already present with tool calling models. * This will save on tokens for those models, and makes it more obvious what the description is! * The @tool can get more parameters to allow a user to re-introduce the the signature if we want	3 weeks ago
William FH	8498b41cda	Finish agent migration doc (#21731 )	3 weeks ago
Cheese	0ead09f84d	community: Implement `bind_tools` for ChatTongyi (#20725 ) ## Description Implement `bind_tools` in ChatTongyi. Usage example: ```py from langchain_core.tools import tool from langchain_community.chat_models.tongyi import ChatTongyi @tool def multiply(first_int: int, second_int: int) -> int: """Multiply two integers together.""" return first_int * second_int llm = ChatTongyi(model="qwen-turbo") llm_with_tools = llm.bind_tools([multiply]) msg = llm_with_tools.invoke("What's 5 times forty two") print(msg) ``` Streaming is also supported. ## Dependencies No Dependency is required for this change. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 weeks ago
Bagatur	867adbf27b	docs: add aca-ds (#21746 )	3 weeks ago
Erick Friis	06110e20b9	pinecone: bump min core version (#21742 )	3 weeks ago
Erick Friis	bd3e7d50f3	fireworks: bump min core version (#21741 )	3 weeks ago
Erick Friis	f5c31078d7	airbyte[patch]: airbyte-cdk compatible pydantic versions (#21738 )	3 weeks ago
Erick Friis	3d33b89fa4	ibm[patch]: release 0.1.7 (#21737 )	3 weeks ago
Erick Friis	e41d801369	openai[patch]: fix embedding float precision issue (#21736 ) also clean up + comment some of the embedding batching code	3 weeks ago
JuHyung Son	38c297a025	upstage: Support batch input in embedding request. (#21730 ) Description: upstage embedding now supports batch input.	3 weeks ago
Harrison Chase	15be439719	Harrison/move flashrank rerank (#21448 ) third party integration, should be in community	3 weeks ago
Erick Friis	aca98fd150	multiple: releases with relaxed core dep (#21724 )	3 weeks ago
Bagatur	af284518bc	openai[patch]: Release 0.1.7, bump tiktoken 0.7.0 (#21723 )	3 weeks ago
William FH	ca768c8353	[Core] Check is async callable (#21714 ) To permit proper coercion of objects like the following: ```python class MyAsyncCallable: async def __call__(self, foo): return await ... class MyAsyncGenerator: async def __call__(self, foo): await ... yield ```	3 weeks ago
Eugene Yurtsev	5c2cfabec6	core[minor]: Add v2 implementation of astream events (#21638 ) This PR introduces a v2 implementation of astream events that removes intermediate abstractions and fixes some issues with v1 implementation. The v2 implementation significantly reduces relevant code that's associated with the astream events implementation together with overhead. After this PR, the astream events implementation: - Uses an async callback handler - No longer relies on BaseTracer - No longer relies on json patch As a result of this re-write, a number of issues were discovered with the existing implementation. ## Changes in V2 vs. V1 ### on_chat_model_end `output` The outputs associated with `on_chat_model_end` changed depending on whether it was within a chain or not. As a root level runnable the output was: ```python "data": {"output": AIMessageChunk(content="hello world!", id='some id')} ``` As part of a chain the output was: ``` "data": { "output": { "generations": [ [ { "generation_info": None, "message": AIMessageChunk( content="hello world!", id=AnyStr() ), "text": "hello world!", "type": "ChatGenerationChunk", } ] ], "llm_output": None, } }, ``` After this PR, we will always use the simpler representation: ```python "data": {"output": AIMessageChunk(content="hello world!", id='some id')} ``` NOTE Non chat models (i.e., regular LLMs) are still associated with the more verbose format. ### Remove some `_stream` events `on_retriever_stream` and `on_tool_stream` events were removed -- these were not real events, but created as an artifact of implementing on top of astream_log. The same information is already available in the `x_on_end` events. ### Propagating Names Names of runnables have been updated to be more consistent ```python model = GenericFakeChatModel(messages=infinite_cycle).configurable_fields( messages=ConfigurableField( id="messages", name="Messages", description="Messages return by the LLM", ) ) ``` Before: ```python "name": "RunnableConfigurableFields", ``` After: ```python "name": "GenericFakeChatModel", ``` ### on_retriever_end on_retriever_end will always return `output` which is a list of documents (rather than a dict containing a key called "documents") ### Retry events Removed the `on_retry` callback handler. It was incorrectly showing that the failed function being retried has invoked `on_chain_end` https://github.com/langchain-ai/langchain/pull/21638/files#diff-e512e3f84daf23029ebcceb11460f1c82056314653673e450a5831147d8cb84dL1394	3 weeks ago
Rajendra Kadam	54e003268e	langchain[minor]: Add PebbloRetrievalQA chain with Identity & Semantic Enforcement support (#20641 ) - Description: PebbloRetrievalQA chain introduces identity enforcement using vector-db metadata filtering - Dependencies: None - Issue: None - Documentation: Adding documentation for PebbloRetrievalQA chain in a separate PR(https://github.com/langchain-ai/langchain/pull/20746) - Unit tests: New unit-tests added --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 weeks ago
Bagatur	241a6e43a5	docs: update structured how to (#21679 )	3 weeks ago
Jib	f369495fa0	mongodb: [performance] Increase DEFAULT_INSERT_BATCH_SIZE to 100,000 and introduce sizing constraints (#19608 )	3 weeks ago
Eugene Yurtsev	e69a9bedf8	core[patch]: Update mypy config (#21684 ) Update mypy config to ignore checking deps from numpy and pytest (which are optional in langsmith sdk)	3 weeks ago
Erick Friis	9973547aef	mongodb: release 0.1.4 (#21678 )	3 weeks ago
Jib	a97473c846	mongodb[patch]: Make ObjectId JSON-serializable on generation (#21394 )	3 weeks ago
Eugene Yurtsev	5c64c004cc	core[patch]: Add unit tests with some streaming scenarios (#21668 ) Add unit tests that show differences between sync / async versions when streaming. The inner on_chain_chunk event is missing if mixing sync and async functionality. Likely due to missing tap_output_iter implementation on the sync variant of `_transform_stream_with_config`	3 weeks ago
Eugene Yurtsev	2ac4d2960c	core[patch]: Add unit test to catch ordering (#21669 ) Add unit test to catch ordering issues	3 weeks ago
Zhao Blake	972d2071c6	core[patch]: Fix typo in VectorStoreExampleSelector doc-string (#21574 )	3 weeks ago
Erick Friis	2a984e8e3f	docs: huggingface package (#21645 )	3 weeks ago
Erick Friis	c77d2f2b06	multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646 ) 0.2 is not a breaking release for core (but it is for langchain and community) To keep the core+langchain+community packages in sync at 0.2, we will relax deps throughout the ecosystem to tolerate `langchain-core` 0.2	3 weeks ago
Anush	edd68e4ad4	qdrant: init package (#21146 ) ## Description This PR introduces the new `langchain-qdrant` partner package, intending to deprecate the community package. ## Changes - Moved the Qdrant vector store implementation `/libs/partners/qdrant` with integration tests. - The conditional imports of the client library are now regular with minor implementation improvements. - Added a deprecation warning to `langchain_community.vectorstores.qdrant.Qdrant`. - Replaced references/imports from `langchain_community` with either `langchain_core` or by moving the definitions to the `langchain_qdrant` package itself. - Updated the Qdrant vector store documentation to reflect the changes. ## Testing - `QDRANT_URL` and [`QDRANT_API_KEY`](`583e36bf6b`) env values need to be set to [run integration tests](`d608c93d1f`) in the [cloud](https://cloud.qdrant.tech). - If a Qdrant instance is running at `http://localhost:6333`, the integration tests will use it too. - By default, tests use an [`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode) instance(Not comprehensive). --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>	3 weeks ago
Prashanth Rao	63c3a0e56c	[community][graph]: Update KuzuQAChain and docs (#21218 ) This PR makes some small updates for `KuzuQAChain` for graph QA. - Updated Cypher generation prompt (we now support `WHERE EXISTS`) and generalize it more - Support different LLMs for Cypher generation and QA - Update docs and examples	3 weeks ago
Tomaz Bratanic	89ff6a3d3b	Add sentiment and confidence levels to diffbotgraphtransformer (#21590 ) Co-authored-by: Erick Friis <erickfriis@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Erick Friis	9b51ca08bc	huggingface: fix community dep checking (#21628 )	3 weeks ago
Erick Friis	91a2ea5cd6	chroma, mongodb: fix docstrings (#21629 )	3 weeks ago
Jofthomas	afd85b60fc	huggingface: init package (#21097 ) First Pr for the langchain_huggingface partner Package - Moved some of the hugging face related class from `community` to the new `partner package` Still needed : - Documentation - Tests - Support for the new apply_chat_template in `ChatHuggingFace` - Confirm choice of class to support for embeddings witht he sentence-transformer team. cc : @efriis --------- Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Tomaz Bratanic	9fce03e7db	community[patch]: Fix neo4j enhanced schema (#21582 )	3 weeks ago
Christophe Bornet	66a4da8ad0	community[patch]: Improve Cassandra VectorStore docsctrings (#21620 )	3 weeks ago
adreo00	40aff1eacc	core[major]: AsyncCallbackManagerForToolRun no longer casts return object to string (#20374 ) - Description: Stops `AsyncCallbackManagerForToolRun` from converting the output to str - Issue: #20372 - Dependencies: None	3 weeks ago
Eugene Yurtsev	25fbe356b4	community[patch]: upgrade to recent version of mypy (#21616 ) This PR upgrades community to a recent version of mypy. It inserts type: ignore on all existing failures.	3 weeks ago
Eugene Yurtsev	b923951062	langchain[patch]: CI add lint rule for community imports (#21618 ) Add a rule to check for imports from community in global scope	3 weeks ago
Jorge Piedrahita Ortiz	4378fbbef0	community[patch]: Fix typos in Sambanova integration doc-strings (#21617 ) - Description: Sambanova integration docstrings updated, bad formated --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 weeks ago
Christophe Bornet	bcf53f93e1	[community]: Add missing docstring param to CassandraLoader (#21611 )	3 weeks ago
Christophe Bornet	e6fa4547b1	community[minor]: Add alazy_load to AsyncHtmlLoader (#21536 ) Also fixes a bug that `_scrape` was called and was doing a second HTTP request synchronously. Twitter handle: cbornet_	3 weeks ago
Wang Guan	b53548dcda	langchain[minor]: allow CacheBackedEmbeddings to cache queries (#20073 ) Add optional caching of queries to cache backed embeddings	3 weeks ago
Guangdong Liu	a156aace2b	core[patch]:Fix Incorrect listeners parameters for Runnable.with_listeners() and .map() (#20661 ) - Issue: fix #20509 - @baskaryan, @eyurtsev ![image](https://github.com/langchain-ai/langchain/assets/48236177/f799a976-b983-4d8b-b373-64392e1fd6c6)	3 weeks ago
junkeon	480c02bf55	upstage[minor]: add merge_and_split function for document loader (#21603 ) - Introduce the `merge_and_split` function in the `UpstageLayoutAnalysisLoader`. - The `merge_and_split` function takes a list of documents and a splitter as inputs. - This function merges all documents and then divides them using the `split_documents` method, which is a proprietary function of the splitter. - If the provided splitter is `None` (which is the default setting), the function will simply merge the documents without splitting them.	3 weeks ago
Leonid Ganeline	500569da48	community[patch]: `vectorstores` import update (#21169 ) Issue: we have several helper functions to import third-party libraries like lancedb.import_lancedb in [community.vectorstores](https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.lancedb.import_lancedb.html#langchain_community.vectorstores.lancedb.import_lancedb). 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	3 weeks ago
ccurme	3003363605	langchain, community: remove cap on sqlalchemy and bump duckdb (#21509 )	3 weeks ago
ccurme	01a3228d8e	standard tests: add test for few-shot examples (#21019 )	3 weeks ago
Chuyuan Qu	af875cff57	prompty: adding Microsoft langchain_prompty package (#21346 ) Co-authored-by: Micky Liu <wayliu@microsoft.com> Co-authored-by: wayliums <wayliums@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 weeks ago
Matt Florence	d3ca2cc8c3	langchain: Fix broken `OpenAIModerationChain` and implement async (#18537 ) Thank you for contributing to LangChain! ## PR title lancghain[patch]: fix `OpenAIModerationChain` and implement async ## PR message Description: fix `OpenAIModerationChain` and implement async Issues: - https://github.com/langchain-ai/langchain/issues/18533 - https://github.com/langchain-ai/langchain/issues/13685 Dependencies: none Twitter handle: mattflo ## Add tests and docs Existing documentation is broken: https://python.langchain.com/docs/guides/safety/moderation - [ 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: Emilia Katari <emilia@outpace.com> Co-authored-by: ccurme <chester.curme@gmail.com> Co-authored-by: Erick Friis <erickfriis@gmail.com>	3 weeks ago
ccurme	4170e72a42	openai: fix loads unit test (#21542 ) following changes to tests in core here: https://github.com/langchain-ai/langchain/pull/21342/files	3 weeks ago
Erick Friis	3db85cbb5b	community: deps (#21508 )	3 weeks ago
Erick Friis	8580e350be	cli: release 0.0.22 (#21507 )	3 weeks 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>	3 weeks ago
Erick Friis	02701c277f	langchain: core min version (#21506 )	3 weeks ago
Erick Friis	13b01104c9	langchain: drop sqlalchemy max, release 0.2.0rc2 (#21504 )	3 weeks ago
ccurme	375f447e58	community: fix builds with min dependencies (#21495 )	3 weeks 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` \|	4 weeks 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.	4 weeks 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>	4 weeks ago
Erick Friis	f178c67ad0	community: release 0.2.0rc1, bump deps (#21470 )	4 weeks ago
William FH	b28be5d407	Pass through Run ID Explicitly (#21469 )	4 weeks ago
Erick Friis	83eecd54fe	experimental: 0.2 relax (#21468 )	4 weeks 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>	4 weeks 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>	4 weeks 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.	4 weeks 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>	4 weeks 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>	4 weeks 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>	4 weeks 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.	4 weeks 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.)	4 weeks 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.	4 weeks 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>	4 weeks ago
ccurme	6b392d6d12	robocorp: release 0.0.6 (#21441 )	4 weeks 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.	4 weeks 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>	4 weeks ago
Erick Friis	6a295d1ec0	upstage: release 0.1.4 (#21432 )	4 weeks 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>	4 weeks 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/	4 weeks 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" ![image](https://github.com/langchain-ai/langchain/assets/40889019/e950d79f-5a0f-4086-86e9-89f627990fe5) --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 weeks 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.	4 weeks ago
Erick Friis	bbdf0f8801	experimental[patch]: core and langchain dep (#21402 )	4 weeks ago
Erick Friis	e4aca0d052	experimental[patch]: release 0.0.58 (#21397 )	4 weeks 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	4 weeks 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>	4 weeks 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.	4 weeks ago
Eugene Yurtsev	6a1d61dbf1	community[patch]: Fix in memory vectorstore to take into account ids when adding docs (#21384 ) Should respect `ids` if passed	4 weeks 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>	4 weeks 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	4 weeks 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	4 weeks ago
ccurme	080af0ec53	langchain: sync -> async methods in OpenAI assistants (#21378 )	4 weeks ago
Tomaz Bratanic	ad3fd44a7f	experimental: Fix llm graph transformer bug (#21362 )	4 weeks ago
Erick Friis	bb81ae5c8c	together: fix chat model and embedding classes (#21353 )	4 weeks 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>	4 weeks ago
Jacob Lee	a2d31307bb	Adds confirmation logs after creating a new project (#12618 ) @efriis @hwchase17 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	4 weeks ago
Erick Friis	0fb93cd740	core: release 0.1.52 (#21350 )	4 weeks 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>	4 weeks 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>	4 weeks ago
Nuno Campos	6f17158606	fix: core: Include in json output also fields set outside the constructor (#21342 )	4 weeks ago
Tomaz Bratanic	ac14f171ac	Add indexed properties to neo4j enhanced schema (#21335 )	4 weeks 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>	4 weeks 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.	4 weeks 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	4 weeks ago
Jorge Piedrahita Ortiz	e65652c3e8	community: add SambaNova embeddings integration (#21227 ) - Description: SambaNova hosted embeddings integration	4 weeks 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	4 weeks ago
Jan Soubusta	d9a61c0fa9	fix: respect table_name argument when calling from_texts (#21252 ) valid for from_documents() as well fixes #21251	4 weeks 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>	4 weeks 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>	4 weeks 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>	4 weeks ago
Erick Friis	9e4b24a2d6	langchain: release 0.1.18 (#21338 )	4 weeks ago
Erick Friis	5c000f8d79	community: release 0.0.37 (#21332 )	4 weeks 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	4 weeks 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.	4 weeks 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	4 weeks 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.	4 weeks 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>	4 weeks ago
Erick Friis	811e9cee8b	core: release 0.1.51 (#21328 )	4 weeks 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>	4 weeks 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.	4 weeks 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.	4 weeks 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	4 weeks 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>	1 month 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 ```	1 month 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>	1 month 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	1 month 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.	1 month ago
Erick Friis	36c2ca3c8b	mistralai: relax tokenizers dep (#21277 )	1 month 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.	1 month ago
Eugene Yurtsev	26a37dce0a	langchain[patch]: Remove jsonpatch from poetry file (#21272 ) jsonpatch is only used in langchain-core not in langchain	1 month ago
Eugene Yurtsev	335bd01e45	langchain[patch]: Update deprecation warning (#21268 ) Update deprecation warning	1 month 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.	1 month 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' {} +`	1 month 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	1 month 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	1 month ago
Eugene Yurtsev	ba4a309d98	langchain[patch]: Revert breaking change until 0.2 release (#21256 ) Reverts a minor breaking change until 0.2 release	1 month 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	1 month 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	1 month ago
Christophe Bornet	2fbe82f5e6	community[minor]: Relax constraints on CassandraChatMessageHistory constructor (#21241 )	1 month 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 ![image](https://github.com/langchain-ai/langchain/assets/88305668/23b6e726-71b2-4812-91ea-3e8600683733) Dependencies: None Twitter Handle - epu9byj --------- Co-authored-by: gere <gere@kapo.zh.ch> Co-authored-by: Chester Curme <chester.curme@gmail.com>	1 month ago
Bagatur	67a5cc34c6	openai[patch]: Release 0.1.6 (#21236 )	1 month ago
Erick Friis	c1eb95b967	core: release 0.1.50 (#21230 )	1 month 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	1 month ago
Bagatur	6ac6158a07	openai[patch]: support tool_choice="required" (#21216 ) Co-authored-by: ccurme <chester.curme@gmail.com>	1 month 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	1 month ago
ccurme	eb0a2fd53a	mistral: release 0.1.6 (#21214 )	1 month ago
ccurme	2d77e5e3a1	(standard tests): add test for basic conversation sequence (#21213 )	1 month 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>	1 month 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	1 month ago
Raghav Dixit	7d451d0041	community[patch]: Update lancedb.py (#21192 ) very minor update in LanceDB integration, 'metric' argument was missing.	1 month ago
Bagatur	d297d90ad9	core[patch]: Release 0.1.49 (#21211 )	1 month 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>	1 month ago
Eugene Yurtsev	df49404794	langchain[patch]: Make more memory code handle community dependency as optional (#21199 )	1 month ago
ccurme	bd5d2c2674	langchain: import InMemoryChatMessageHistory from core (#21198 )	1 month ago
Eugene Yurtsev	3cd7fced5f	langchain[patch],community[minor]: Migrate memory implementations to community (#20845 ) Migrates memory implementations to community	1 month ago
Eugene Yurtsev	b5c3a04e4b	langchain[patch]: chat histories to handle optional community dependence (#21194 )	1 month ago
Eugene Yurtsev	c9119b0e75	langchain[patch],community[minor]: Move some unit tests from langchain to community, use core for fake models (#21190 )	1 month 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	1 month ago
Bagatur	6fa8626e2f	openai[patch]: fix azure open lc serialization, release 0.1.5 (#21159 )	1 month 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	1 month ago
Eugene Yurtsev	23fdd320bc	langchain[patch]: Migrate more code to use optional community in agents namespace (#21167 )	1 month ago
Tomaz Bratanic	9e53fa7d2e	Some more fixes to neo4j enhanced schema (#21139 )	1 month ago
Erick Friis	0694538c39	ai21: fix core version (#21168 )	1 month ago
Eugene Yurtsev	44602bdc20	langchain[patch],community[minor]: Move load_tools to community (#21158 ) Move load tools to community	1 month ago
Eugene Yurtsev	9932f49b3e	langchain[patch]: Migrate llms to use optional community imports (#21101 )	1 month ago
Eugene Yurtsev	57e8e70daa	langchain[patch]: Migrate chat models to optional community imports (#21090 ) Migrate chat models to optional community imports	1 month 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__	1 month ago
Eugene Yurtsev	23c5d87311	langchain[patch]: Migrate utils to use optional langchain_community (#21163 ) Migrate utils to use optional imports from langchain community	1 month ago
Eugene Yurtsev	bec3eee3fa	langchain[patch]: Migrate retrievers to use optional langchain community imports (#21155 )	1 month 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	1 month ago
Eugene Yurtsev	59f10ab3e0	langchain[patch]: Migrate embeddings to optional imports (#21099 )	1 month ago
Eugene Yurtsev	2f709d94d7	langchain[patch]: Migrate vectorstores to use optional langchain community imports (#21150 )	1 month 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	1 month ago
Erick Friis	daab9789a8	ai21: release 0.1.4 (#21151 )	1 month 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>	1 month ago
Eugene Yurtsev	7a39fe60da	langchain[patch]: Migrate utilities to handle langchain community as optional (#21149 )	1 month ago
Eugene Yurtsev	b879184595	langchain[patch]: embedddings distance move import of openai embeddings into local scope (#21148 )	1 month ago
Eugene Yurtsev	0e5bf16d00	langchain[patch]: Migrate document loaders to use optional langchain community imports (#21095 )	1 month ago
Harrison Chase	4d1c21d97d	community[patch]: Fix alternative name in deprecation notice for sql_database (#21144 )	1 month 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	1 month ago
Eugene Yurtsev	1ce1a10f2b	langchain[patch],community[minor]: Move graph index creator (#20795 ) Move graph index creator to community	1 month ago
Eugene Yurtsev	aa0bc7467c	langchain[patch]: Migrate agents module into optional imports for community (#21088 )	1 month ago
Eugene Yurtsev	86ff8a3fb4	langchain[patch]: Update docstore module to use optional imports from community (#21091 )	1 month ago
Eugene Yurtsev	d640605694	langchain[patch]: Migrate chat loaders to optional community imports (#21089 ) Migrate chat loaders to optional community imports	1 month ago
Eugene Yurtsev	2fcab9acd9	langchain[patch]: Upgrade storage to treat langchain community as optional (#21105 )	1 month ago
William FH	ab55f6996d	[Core] Tracing: update parent run_tree's child_runs (#21049 )	1 month 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)	1 month 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>	1 month 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>	1 month 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!	1 month ago
Tomaz Bratanic	7860e4c649	experimental[patch]: Add support for non-function calling LLMs in llm graph transformers (#21014 )	1 month ago
tianzedavid	5a8909440b	docs: remove repetitive words (#21058 ) remove repetitive words Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 month ago
Tomaz Bratanic	c9e96bb5e2	community[patch]: Fix neo4j enhanced schema bugs (#21072 )	1 month 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.	1 month ago
Bagatur	bef50ded63	openai[patch]: fix special token default behavior (#21131 ) By default handle special sequences as regular text	1 month 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>	1 month ago

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