langchain

Commit Graph

Author	SHA1	Message	Date
lucasiscovici	05bf98b2f9	community[patch]: pgvector replace nin_ by not_in (#22619 ) - [ ] community: "pgvector: replace nin_ by not_in" - [ ] PR message: nin_ do not exist in sqlalchemy orm, it's not_in	3 months ago
ccurme	3999761201	multiple: add `stop` attribute (#22573 )	3 months ago
ccurme	e08879147b	Revert "anthropic: stream token usage" (#22624 ) Reverts langchain-ai/langchain#20180	3 months ago
Bagatur	0d495f3f63	anthropic: stream token usage (#20180 ) open to other ideas <img width="1181" alt="Screenshot 2024-04-08 at 5 34 08 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/03eb11c4-5eb5-43e3-9109-a13f76098fa4"> --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Satyam Kumar	17b486a37b	openai, azure: update model_name in ChatResult to use name from API response (#22569 ) The response.get("model", self.model_name) checks if the model key exists in the response dictionary. If it does, it uses that value; otherwise, it uses self.model_name. 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, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Christophe Bornet	12ddb4fc6f	core[patch]: Use explicit classes for InMemoryByteStore and InMemoryStore (#22608 ) The current implementation doesn't work well with type checking. Instead replace with class definition that correctly works with type checking.	3 months ago
andyjessen	cfed68e06f	docs: Fix description (#22611 ) This commit fixes the description of the hair_color field.	3 months ago
ccurme	1925bde32e	together: bump langchain-core (#22616 ) langchain-together depends on langchain-openai ^0.1.8 langchain-openai 0.1.8 has langchain-core >= 0.2.2 Here we bump langchain-core to 0.2.2, just to pass minimum dependency version tests.	3 months ago
ccurme	35f4aa927b	together[patch]: Release 0.1.3 (#22615 )	3 months ago
andyjessen	8b40428f58	docs: Fix typo (#22603 ) This commit changes minor typo in the field description.	3 months ago
Isaac Francisco	ba3e219d83	community[patch]: recursive url loader fix and unit tests (#22521 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Jeffrey Mak	5fc5ed463c	community[patch]:Support filter for AzureAISearchRetriever (#22303 ) Description: The AzureAISearchRetriever does not support the "$filter" argument offered in the AISearch API: https://learn.microsoft.com/en-us/rest/api/searchservice/documents/search-get?view=rest-searchservice-2023-11-01&tabs=HTTP The $filter allows filtering of indexes based on values in metadata. Issue: https://github.com/langchain-ai/langchain/issues/19885 Dependencies: No Twitter handle: @Jeffreym9M - [ ] Add tests and docs: Not relevant - [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 months ago
Isaac Francisco	148088a588	docs: duckduckgosearch options listed (#22568 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
X-HAN	62f13f95e4	community[minor]: add DashScope Rerank (#22403 ) Description: this PR adds DashScope Rerank capability to Langchain, you can find DashScope Rerank API from [here](https://help.aliyun.com/document_detail/2780058.html?spm=a2c4g.2780059.0.0.6d995024FlrJ12) & [here](https://help.aliyun.com/document_detail/2780059.html?spm=a2c4g.2780058.0.0.63f75024cr11N9). [DashScope](https://dashscope.aliyun.com/) is the generative AI service from Alibaba Cloud (Aliyun). You can create DashScope API key from [here](https://bailian.console.aliyun.com/?apiKey=1#/api-key). Dependencies: DashScopeRerank depends on `dashscope` python package. Twitter handle: my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thanks you! Tests and docs 1. integration test: `test_dashscope_rerank.py` 2. example notebook: `dashscope_rerank.ipynb` Lint and test: I have run `make format`, `make lint` and `make test` from the root of the package I've modified. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Ethan Yang	29064848f9	[Community]add option to delete the prompt from HF output (#22225 ) This will help to solve pattern mismatching issue when parsing the output in Agent. https://github.com/langchain-ai/langchain/issues/21912	3 months ago
Bagatur	584a1e30ac	community[patch]: AzureSearch async functions (#22075 )	3 months ago
Bagatur	1a911018bc	langchain[minor]: add universal init_model (#22039 ) decisions to discuss - only chat models - model_provider isn't based on any existing values like llm-type, package names, class names - implemented as function not as a wrapper ChatModel - function name (init_model) - in langchain as opposed to community or core - marked beta	3 months ago
ccurme	af129974a3	community: update how OpenAIAssistantV2Runnable creates threads with tool_resources (#22549 ) https://github.com/langchain-ai/langchain/issues/22503	3 months ago
Bagatur	51a0d4574e	community[patch]: Release 0.2.3 (#22562 )	3 months ago
Bagatur	b2daba37c7	nomic[patch]: Release 0.1.2 (#22561 )	3 months ago
Zach Nussbaum	14f3014cce	embeddings: nomic embed vision (#22482 ) Thank you for contributing to LangChain! Description: Adds Langchain support for Nomic Embed Vision Twitter handle: nomic_ai,zach_nussbaum - [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. - [ ] 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, ccurme, vbarda, hwchase17. --------- Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
leila-messallem	3280a5b49b	community[patch]: improve test setup to accurately test filtering of labels in neo4j (#22531 ) Description: This PR addresses an issue with an existing test that was not effectively testing the intended functionality. The previous test setup did not adequately validate the filtering of the labels in neo4j, because the nodes and relationship in the test data did not have any properties set. Without properties these labels would not have been returned, regardless of the filtering. --------- Co-authored-by: Oskar Hane <oh@oskarhane.com>	3 months ago
Mohammad Mohtashim	7fcef2556c	[Experimental]: Async agenerate method ollama functions (#21682 ) - Description: : Added Async method for Generate for OllamaFunctions which was missing and was raising errors for the users. - Issue: #21422	3 months ago
Stefano Lottini	328d0c99f2	community[minor]: Add support for metadata indexing policy in Cassandra vector store (#22548 ) This PR adds a constructor `metadata_indexing` parameter to the Cassandra vector store to allow optional fine-tuning of which fields of the metadata are to be indexed. This is a feature supported by the underlying CassIO library. Indexing mode of "all", "none" or deny- and allow-list based choices are available. The rationale is, in some cases it's advisable to programmatically exclude some portions of the metadata from the index if one knows in advance they won't ever be used at search-time. this keeps the index more lightweight and performant and avoids limitations on the length of _indexed_ strings. I added a integration test of the feature. I also added the possibility of running the integration test with Cassandra on an arbitrary IP address (e.g. Dockerized), via `CASSANDRA_CONTACT_POINTS=10.1.1.5,10.1.1.6 poetry run pytest [...]` or similar. While I was at it, I added a line to the `.gitignore` since the mypy _test_ cache was not ignored yet. My X (Twitter) handle: @rsprrs.	3 months ago
Emilien Chauvet	c3d4126eb1	community[minor]: add user agent for web scraping loaders (#22480 ) Description: This PR adds a `USER_AGENT` env variable that is to be used for web scraping. It creates a util to get that user agent and uses it in the classes used for scraping in [this piece of doc](https://python.langchain.com/v0.1/docs/use_cases/web_scraping/). Identifying your scraper is considered a good politeness practice, this PR aims at easing it. Issue: `None` Dependencies: `None` Twitter handle: `None`	3 months ago
Philippe PRADOS	8250c177de	community[minor]: Add native async support to SQLChatMessageHistory (#22065 ) # package community: Fix SQLChatMessageHistory ## Description Here is a rewrite of `SQLChatMessageHistory` to properly implement the asynchronous approach. The code circumvents [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) by accepting a synchronous call to `def add_messages()` in an asynchronous scenario. This bypasses the bug. For the same reasons as in [PR 22](https://github.com/langchain-ai/langchain-postgres/pull/32) of `langchain-postgres`, we use a lazy strategy for table creation. Indeed, the promise of the constructor cannot be fulfilled without this. It is not possible to invoke a synchronous call in a constructor. We compensate for this by waiting for the next asynchronous method call to create the table. The goal of the `PostgresChatMessageHistory` class (in `langchain-postgres`) is, among other things, to be able to recycle database connections. The implementation of the class is problematic, as we have demonstrated in [issue 22021](https://github.com/langchain-ai/langchain/issues/22021). Our new implementation of `SQLChatMessageHistory` achieves this by using a singleton of type (`Async`)`Engine` for the database connection. The connection pool is managed by this singleton, and the code is then reentrant. We also accept the type `str` (optionally complemented by `async_mode`. I know you don't like this much, but it's the only way to allow an asynchronous connection string). In order to unify the different classes handling database connections, we have renamed `connection_string` to `connection`, and `Session` to `session_maker`. Now, a single transaction is used to add a list of messages. Thus, a crash during this write operation will not leave the database in an unstable state with a partially added message list. This makes the code resilient. We believe that the `PostgresChatMessageHistory` class is no longer necessary and can be replaced by: ``` PostgresChatMessageHistory = SQLChatMessageHistory ``` This also fixes the bug. ## Issue - [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) - Bug in _exit_history() - Bugs in PostgresChatMessageHistory and sync usage - Bugs in PostgresChatMessageHistory and async usage - [issue 36](https://github.com/langchain-ai/langchain-postgres/issues/36) ## Twitter handle: pprados ## Tests - libs/community/tests/unit_tests/chat_message_histories/test_sql.py (add async test) @baskaryan, @eyurtsev or @hwchase17 can you check this PR ? And, I've been waiting a long time for validation from other PRs. Can you take a look? - [PR 32](https://github.com/langchain-ai/langchain-postgres/pull/32) - [PR 15575](https://github.com/langchain-ai/langchain/pull/15575) - [PR 13200](https://github.com/langchain-ai/langchain/pull/13200) --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Vincent Min	59bef31997	community[minor]: Improve InMemoryVectorStore with ability to persist to disk and filter on metadata. (#22186 ) - Description: The InMemoryVectorStore is a nice and simple vector store implementation for quick development and debugging. The current implementation is quite limited in its functionalities. This PR extends the functionalities by adding utility function to persist the vector store to a json file and to load it from a json file. We choose the json file format because it allows inspection of the database contents in a text editor, which is great for debugging. Furthermore, it adds a `filter` keyword that can be used to filter out documents on their `page_content` or `metadata`. - Issue: - - Dependencies: - - Twitter handle: @Vincent_Min	3 months ago
Christophe Bornet	c34ad8c163	core[patch]: Improve VectorStore API doc (#22547 )	3 months ago
maang-h	89128b7a49	community[patch]: add detailed paragraph and example for BaichuanTextEmbeddings (#22031 ) - Description: add detailed paragraph and example for BaichuanTextEmbeddings - Issue: the issue #21983	3 months ago
Anthony Bernabeu	4e676a63b8	community[minor]: Added filter search for LanceDB (#22461 ) - [ ] community: "vectorstore: added filtering support for LanceDB vector store" - [ ] This PR adds filtering capabilities to LanceDB: - Description: In LanceDB filtering can be applied when searching for data into the vectorstore. It is using the SQL language as mentioned in the LanceDB documentation. - Issue: #18235 - Dependencies: No - [ ] 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/	3 months ago
Erick Friis	4050d6ea2b	huggingface: remove text-generation dep (#22543 )	3 months ago
Erick Friis	a6fc74f379	ai21: fix core version (#22544 )	3 months ago
Asaf Joseph Gardin	75cba742e5	ai21: fix ai21 unittests (#22526 ) Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Erick Friis	58192d617f	community: fix huggingface deprecations (#22522 )	3 months ago
Christophe Bornet	8ba868d3b0	core[patch]: Add similarity_score_threshold to VectorStore search types (#22477 )	3 months ago
Eugene Yurtsev	9120cf5df2	core[patch]: Deduplicate of callback handlers in merge_configs (#22478 ) This PR adds deduplication of callback handlers in merge_configs. Fix for this issue: https://github.com/langchain-ai/langchain/issues/22227 The issue appears when the code is: 1) running python >=3.11 2) invokes a runnable from within a runnable 3) binds the callbacks to the child runnable from the parent runnable using with_config In this case, the same callbacks end up appearing twice: (1) the first time from with_config, (2) the second time with langchain automatically propagating them on behalf of the user. Prior to this PR this will emit duplicate events: ```python @tool async def get_items(question: str, callbacks: Callbacks): # <--- Accept callbacks """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template \| chat_model.with_config( { "callbacks": callbacks, # <-- Propagate callbacks } ) return await chain.ainvoke({"question": question}) ``` Prior to this PR this will work work correctly (no duplicate events): ```python @tool async def get_items(question: str, callbacks: Callbacks): # <--- Accept callbacks """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template \| chat_model return await chain.ainvoke({"question": question}, {"callbacks": callbacks}) ``` This will also work (as long as the user is using python >= 3.11) -- as langchain will automatically propagate callbacks ```python @tool async def get_items(question: str,): """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template \| chat_model return await chain.ainvoke({"question": question}) ```	3 months ago
Ofer Mendelevitch	ad502e8d50	community[minor]: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks (#21334 ) Thank you for contributing to LangChain! Description: update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates Twitter handle: ofermend Add tests and docs: no new tests or docs, but updated both existing tests and existing docs	3 months ago
Bagatur	cb183a9bf1	docs: update anthropic chat model (#22483 ) Related to #22296 And update anthropic to accept base_url	3 months ago
Erick Friis	d700ce8545	robocorp: typo (#22509 )	3 months ago
Erick Friis	39fd44579a	robocorp: release 0.0.9.post1 (#22507 )	3 months ago
Erick Friis	339e3b7f55	ai21: release 0.1.6 (#22508 )	3 months ago
ccurme	3c53cea760	together, upstage: bump minimum langchain-openai version (#22505 )	3 months ago
Bagatur	efcb04f84b	mongodb[patch]: Release 0.1.6 (#22501 )	3 months ago
Bagatur	222b1ba112	groq[patch]: Release 0.1.5 (#22500 )	3 months ago
Bagatur	f021be510e	milvus[patch]: Release 0.1.1 (#22499 )	3 months ago
Bagatur	64d68c17cd	upstage[patch]: Release 0.1.6 (#22498 )	3 months ago
Bagatur	48fba40fce	experimental[patch]: Release 0.0.60 (#22497 )	3 months ago
Bagatur	e60f88ccdd	community[patch]: Release 0.2.2 (#22496 )	3 months ago
Bagatur	85aa218564	langchain[patch]: Release 0.2.2 (#22495 )	3 months ago
Bagatur	8e86080def	mistralai[patch]: Release 0.1.8 (#22494 )	3 months ago
Bagatur	e850de2422	huggingface[patch]: release 0.0.2 (#22493 )	3 months ago
Bagatur	99a3cad258	text-splitters[patch]: Release 0.2.1 (#22490 )	3 months ago
Bagatur	161b02a8be	core[patch]: Release 0.2.4 (#22489 )	3 months ago
Joydeep Banik Roy	3796672c67	community, milvus, pinecone, qdrant, mongo: Broadcast operation failure while using simsimd beyond v3.7.7 (#22271 ) - [ ] Packages affected: - community: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/milvus: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/mongodb: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/pinecone: fix `cosine_similarity` to support simsimd beyond 3.7.7 - partners/qdrant: fix `cosine_similarity` to support simsimd beyond 3.7.7 - [ ] Broadcast operation failure while using simsimd beyond v3.7.7: - Description: I was using simsimd 4.3.1 and the unsupported operand type issue popped up. When I checked out the repo and ran the tests, they failed as well (have attached a screenshot for that). Looks like it is a variant of https://github.com/langchain-ai/langchain/issues/18022 . Prior to 3.7.7, simd.cdist returned an ndarray but now it returns simsimd.DistancesTensor which is ineligible for a broadcast operation with numpy. With this change, it also remove the need to explicitly cast `Z` to numpy array - Issue: #19905 - Dependencies: No - Twitter handle: https://x.com/GetzJoydeep <img width="1622" alt="Screenshot 2024-05-29 at 2 50 00 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/fb27b383-a9ae-4a6f-b355-6d503b72db56"> - [ ] Considerations: 1. I started with community but since similar changes were there in Milvus, MongoDB, Pinecone, and QDrant so I modified their files as well. If touching multiple packages in one PR is not the norm, then I can remove them from this PR and raise separate ones 2. I have run and verified that the tests work. Since, only MongoDB had tests, I ran theirs and verified it works as well. Screenshots attached : <img width="1573" alt="Screenshot 2024-05-29 at 2 52 13 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/ce87d1ea-19b6-4900-9384-61fbc1a30de9"> <img width="1614" alt="Screenshot 2024-05-29 at 3 33 51 PM" src="https://github.com/langchain-ai/langchain/assets/31132555/6ce1d679-db4c-4291-8453-01028ab2dca5"> I have added a test for simsimd. I feel it may not go well with the CI/CD setup as installing simsimd is not a dependency requirement. I have just imported simsimd to ensure simsimd cosine similarity is invoked. However, its not a good approach. Suggestions are welcome and I can make the required changes on the PR. Please provide guidance on the same as I am new to the community. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
KyrianC	03178ee74f	community[minor]: Add tools calls to `ChatEdenAI` (#22320 ) ### Description Add tools implementation to `ChatEdenAI`: - `bind_tools()` - `with_structured_output()` ### Documentation Updated `docs/docs/integrations/chat/edenai.ipynb` ### Notes We don´t support stream with tools as of yet. If stream is called with tools we directly yield the whole message from `generate` (implemented the same way as Anthropic did).	3 months ago
pranavvuppala	9d4350e69a	docs : Update docstrings for OpenAI base.py (#22221 ) - [x] PR title: Update docstrings for OpenAI base.py -Description: Updated the docstring of few OpenAI functions for a better understanding of the function. - Issue: #21983 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Anindyadeep	7a197539aa	communty[patch]: Native RAG Support in Prem AI langchain (#22238 ) This PR adds native RAG support in langchain premai package. The same has been added in the docs too.	3 months ago
Rahul Triptahi	77ad857934	community[minor]: Enable retrieval api calls in PebbloRetrievalQA (#21958 ) Description: Enable app discovery and Prompt/Response apis in PebbloSafeRetrieval Documentation: NA Unit test: N/A --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	3 months ago
liugz18	8fd231086e	experimental[patch]: Fix graph_transformers llms #21482 (#22417 ) Fix AttributeError on calling LLMGraphTransformer.convert_to_graph_documents #21482 since raw_schema is always a str @baskaryan	3 months ago
ccurme	6db25b4e31	core[patch]: bump langsmith (#22476 ) Noticing errors logged in some situations when tracing with Langsmith: ```python from langchain_core.pydantic_v1 import BaseModel from langchain_anthropic import ChatAnthropic class AnswerWithJustification(BaseModel): """An answer to the user question along with justification for the answer.""" answer: str justification: str llm = ChatAnthropic(model="claude-3-haiku-20240307") structured_llm = llm.with_structured_output(AnswerWithJustification) list(structured_llm.stream("What weighs more a pound of bricks or a pound of feathers")) ``` ``` Error in LangChainTracer.on_chain_end callback: AttributeError("'NoneType' object has no attribute 'append'") [AnswerWithJustification(answer='A pound of bricks and a pound of feathers weigh the same amount.', justification='This is because a pound is a unit of mass, not volume. By definition, a pound of any material, whether bricks or feathers, will weigh the same - one pound. The physical size or volume of the materials does not matter when measuring by mass. So a pound of bricks and a pound of feathers both weigh exactly one pound.')] ```	3 months ago
Bagatur	17c127531a	community[patch]: deprecate all HF classes (#22444 )	3 months ago
Nuno Campos	58b118544e	Use immutable sequence type for batch/batch_as_completed types (#22433 ) 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, ccurme, vbarda, hwchase17.	3 months ago
Christophe Bornet	9a8fe58ebe	community[minor]: Improve Cassandra VectorStore as_retriever (#22465 ) The Vectorstore's API `as_retriever` doesn't expose explicitly the parameters `search_type` and `search_kwargs` and so these are not well documented. This PR improves `as_retriever` for the Cassandra VectorStore by making these parameters explicit. NB: An alternative would have been to modify `as_retriever` in `Vectorstore`. But there's probably a good reason these were not exposed in the first place ? Is it because implementations may decide to not support them and have fixed values when creating the VectorStoreRetriever ?	3 months ago
Christophe Bornet	23bba18f92	core[patch]: Fix VectorStore's as_retriever mutating tags param (#22470 ) The current VectorStore `as_retriever` implementation mutates the `tags` param when it's passed in kwargs. This fix ensures that a copy is done.	3 months ago
Michal Gregor	98b2e7b195	huggingface[patch]: Support for HuggingFacePipeline in ChatHuggingFace. (#22194 ) - Description: Added support for using HuggingFacePipeline in ChatHuggingFace (previously it was only usable with API endpoints, probably by oversight). - Issue: #19997 - Dependencies: none - Twitter handle: none --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Fahreddin Özcan	0061ded002	community[patch]: Upstash Vector Store Namespace Support (#22251 ) This PR introduces namespace support for Upstash Vector Store, which would allow users to partition their data in the vector index. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Guangdong Liu	bc7e32f315	core(patch):fix partial_variables not working with SystemMessagePromptTemplate (#20711 ) - Issue: close #17560 - @baskaryan, @eyurtsev	3 months ago
Dristy Srivastava	ef3df45d9d	community[minor]: Updating payload for pebblo discover API (#22309 ) Description: Updating response for pebblo discover API. Also updating filed name case type Documentation: N/A Unit tests: N/A	3 months ago
Miroslav	cbd5720011	huggingface[patch]: Skip Login to HuggingFaceHub when token is not set (#22365 )	3 months ago
bhardwaj-vipul	f397a84a59	langchain[patch]: Fix MongoDBAtlasVectorSearch reference in self query retriever (#22401 ) Description: SelfQuery Retriever with MongoDBAtlasVectorSearch (from langchain_mongodb import MongoDBAtlasVectorSearch) and Chroma (from langchain_chroma import Chroma) is not supported. The imports in the [builtin translators](`8cbce684d4/libs/langchain/langchain/retrievers/self_query/base.py (L73)`) points to the [deprecated](`acaf214a45/libs/community/langchain_community/vectorstores/mongodb_atlas.py (L36)`) vectorstore. Issue: #22272 --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
ccurme	afe89a1411	community: add standard chat model params to Ollama (#22446 )	3 months ago
Ethan Yang	52da6a160d	community[patch]: Update OpenVINO embedding and reranker to support static input shape (#22171 ) It can help to deploy embedding models on NPU device	3 months ago
Tom Clelford	c599732e1a	text-splitters[patch]: fix HTMLSectionSplitter parsing of xslt paths (#22176 ) ## Description This PR allows passing the HTMLSectionSplitter paths to xslt files. It does so by fixing two trivial bugs with how passed paths were being handled. It also changes the default value of the param `xslt_path` to `None` so the special case where the file was part of the langchain package could be handled. ## Issue #22175	3 months ago
maang-h	01352bb55f	community[minor]: Implement MiniMaxChat interface (#22391 ) - Description: Implement MiniMaxChat interface, include: - No longer inherits the LLM class (like other chat model) - Update request parameters (v1 -> v2) - update `base url` - update message role (system, user, assistant) - add `stream` function - no longer use `group id` - Implement the `_stream`, `_agenerate`, and `_astream` interfaces [minimax v2 api document](https://platform.minimaxi.com/document/guides/chat-model/V2?id=65e0736ab2845de20908e2dd)	3 months ago
Brandon Sharp	56e5aa4dd9	community[patch]: Airtable to allow for addtl params (#22092 ) - [X] PR title: "community: added optional params to Airtable table.all()" - [X] PR message: - Description: Add's kwargs to AirtableLoader to allow for kwargs: https://pyairtable.readthedocs.io/en/latest/api.html#pyairtable.Table.all - Issue: N/A - Dependencies: N/A - Twitter handle: parakoopa88 - [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/ If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Harichandan Roy	1f751343e2	community[patch]: update embeddings/oracleai.py (#22240 ) 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" "community/embeddings: update oracleai.py" - [ ] 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! Adding oracle VECTOR_ARRAY_T support. - [ ] 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. Tests are not impacted. - [ ] 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/ Done. 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, ccurme, vbarda, hwchase17.	3 months ago
maang-h	13140dc4ff	community[patch]: Update the default api_url and reqeust_body of sparkllm embedding (#22136 ) - Description: When I was running the SparkLLMTextEmbeddings, app_id, api_key and api_secret are all correct, but it cannot run normally using the current URL. ```python # example from langchain_community.embeddings import SparkLLMTextEmbeddings embedding= SparkLLMTextEmbeddings( spark_app_id="my-app-id", spark_api_key="my-api-key", spark_api_secret="my-api-secret" ) embedding= "hello" print(spark.embed_query(text1)) ``` ![sparkembedding](https://github.com/langchain-ai/langchain/assets/55082429/11daa853-4f67-45b2-aae2-c95caa14e38c) So I updated the url and request body parameters according to [Embedding_api](https://www.xfyun.cn/doc/spark/Embedding_api.html), now it is runnable.	3 months ago
Yuwen Hu	ba0dca46d7	community[minor]: Add IPEX-LLM BGE embedding support on both Intel CPU and GPU (#22226 ) Description: [IPEX-LLM](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. This PR adds ipex-llm integrations to langchain for BGE embedding support on both Intel CPU and GPU. Dependencies: `ipex-llm`, `sentence-transformers` Contribution maintainer: @Oscilloscope98 tests and docs: - langchain/docs/docs/integrations/text_embedding/ipex_llm.ipynb - langchain/docs/docs/integrations/text_embedding/ipex_llm_gpu.ipynb - langchain/libs/community/tests/integration_tests/embeddings/test_ipex_llm.py --------- Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com>	3 months ago
Jacob Lee	c01467b1f4	core[patch]: RFC: Allow concatenation of messages with multi part content (#22002 ) Anthropic's streaming treats tool calls as different content parts (streamed back with a different index) from normal content in the `content`. This means that we need to update our chunk-merging logic to handle chunks with multi-part content. The alternative is coerceing Anthropic's responses into a string, but we generally like to preserve model provider responses faithfully when we can. This will also likely be useful for multimodal outputs in the future. This current PR does unfortunately make `index` a magic field within content parts, but Anthropic and OpenAI both use it at the moment to determine order anyway. To avoid cases where we have content arrays with holes and to simplify the logic, I've also restricted merging to chunks in order. TODO: tests CC @baskaryan @ccurme @efriis	3 months ago
Dan	86509161b0	community: fix AzureSearch delete documents (#22315 ) Description Fix AzureSearch delete documents method by using FIELDS_ID variable instead of the hard coded "id" value Issue: This is linked to this issue: https://github.com/langchain-ai/langchain/issues/22314 Co-authored-by: dseban <dan.seban@neoxia.com>	3 months ago
Harrison Chase	8fad2e209a	fix error message (#22437 ) Was confusing when language is in Enum but not implemented	3 months ago
Bagatur	678a19a5f7	infra: bump anthropic mypy 1 (#22373 )	3 months ago
Nuno Campos	ceb73ad06f	core: In BaseRetriever make get_relevant_docs delegate to invoke (#22434 ) - This fixes all the tracing issues with people still using get_relevant_docs, and a change we need for 0.3 anyway 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, ccurme, vbarda, hwchase17.	3 months ago
Charles John	2d81a72884	community: fix missing `apify_api_token` field in ApifyWrapper (#22421 ) - Description: The `ApifyWrapper` class expects `apify_api_token` to be passed as a named parameter or set as an environment variable. But the corresponding field was missing in the class definition causing the argument to be ignored when passed as a named param. This patch fixes that.	3 months ago
Joan Fontanals	a7ae16f912	add `embed_image` API to JinaEmbedding (#22416 ) - Description: Add `embed_image` to JinaEmbedding to embed images - Twitter handle: https://x.com/JinaAI_	3 months ago
Nuno Campos	ed8e9c437a	core: In RunnableSequence pass kwargs to the first step (#22393 ) - This is a pattern that shows up occasionally in langgraph questions, people chain a graph to something else after, and want to pass the graph some kwargs (eg. stream_mode)	3 months ago
Bagatur	a8098f5ddb	anthropic[patch]: Release 0.1.15, fix sdk tools break (#22369 )	4 months ago
Erick Friis	6ffa0acf32	ai21: fix text-splitters version (#22366 )	4 months ago
Bagatur	2b9f1469d8	core[patch]: Release 0.2.3 (#22329 )	4 months ago
Harrison Chase	ee32369265	core[patch]: fix runnable history and add docs (#22283 )	4 months ago
William FH	dcec133b85	[Core] Update Tracing Interops (#22318 ) LangSmith and LangChain context var handling evolved in parallel since originally we didn't expect people to want to interweave the decorator and langchain code. Once we get a new langsmith release, this PR will let you seemlessly hand off between @traceable context and runnable config context so you can arbitrarily nest code. It's expected that this fails right now until we get another release of the SDK	4 months ago
ccurme	f34337447f	openai: update ChatOpenAI api ref (#22324 ) Update to reflect that token usage is no longer default in streaming mode. Add detail for streaming context under Token Usage section.	4 months ago
ChengZi	2443e85533	docs: fix milvus import and update template (#22306 ) docs: fix milvus import problem update milvus-rag template with milvus-lite Signed-off-by: ChengZi <chen.zhang@zilliz.com>	4 months ago
WU LIFU	86698b02a9	doc: fix wrong documentation on FAISS load_local function (#22310 ) ### Issue: #22299 ### descriptions The documentation appears to be wrong. When the user actually sets this parameter "asynchronous" to be True, it fails because the __init__ function of FAISS class doesn't allow this parameter. In fact, most of the class/instance functions of this class have both the sync/async version, so it looks like what we need is just to remove this parameter from the doc. 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: 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, ccurme, vbarda, hwchase17. Co-authored-by: Lifu Wu <lifu@nextbillion.ai>	4 months ago
maang-h	596c062cba	community[patch]: Standardize qianfan model init args name (#22322 ) - Description: - Standardize qianfan chat model intialization arguments name - qianfan_ak (qianfan api key) -> api_key - qianfan_sk (qianfan secret key) -> secret_key - Delete unuse variable - Issue: #20085	4 months ago
Dobiichi-Origami	10b12e1c08	community: adding tool_call_id for every ToolCall (#22323 ) - Description: This PR contains a bugfix which result in malfunction of multi-turn conversation in QianfanChatEndpoint and adaption for ToolCall and ToolMessage	4 months ago
ccurme	f39e1a2288	community, docs: update token usage tracking callback + how-to guides (#22145 )	4 months ago
Bagatur	2bc50fb895	docs, cli[patch]: chat model template nit (#22294 )	4 months ago
Bagatur	aa6c31df53	cli[patch]: Release 0.0.24 (#22293 )	4 months ago
Bagatur	627a337887	docs, cli[patch]: chat model doc template (#22290 ) Update ChatModel integration doc template, integration docstring, and adds langchain-cli command to easily create just doc (for updating existing integrations): ```bash langchain-cli integration create-doc --name "foo-bar" ```	4 months ago
ccurme	6e1df72a88	openai[patch]: Release 0.1.8 (#22291 )	4 months ago
ccurme	e71b0b5827	core[patch]: Release 0.2.2 (#22289 )	4 months ago
Bagatur	6dd0f095c3	docs: revamp ChatOpenAI (#22253 ) Can build API ref docs by running ```bash make api_docs_clean; make api_docs_quick_preview API_PKG=openai ``` only builds openai ref, takes ~20 sec	4 months ago
Erick Friis	00c70d98c2	robocorp: release 0.0.9 (#22282 )	4 months ago
Mikko Korpela	fc5909ad6f	langchain-robocorp: Fix parsing of Union types (such as Optional). (#22277 )	4 months ago
ccurme	af1f723ada	openai: don't override stream_options default (#22242 ) ChatOpenAI supports a kwarg `stream_options` which can take values `{"include_usage": True}` and `{"include_usage": False}`. Setting include_usage to True adds a message chunk to the end of the stream with usage_metadata populated. In this case the final chunk no longer includes `"finish_reason"` in the `response_metadata`. This is the current default and is not yet released. Because this could be disruptive to workflows, here we remove this default. The default will now be consistent with OpenAI's API (see parameter [here](https://platform.openai.com/docs/api-reference/chat/create#chat-create-stream_options)). Examples: ```python from langchain_openai import ChatOpenAI llm = ChatOpenAI() for chunk in llm.stream("hi"): print(chunk) ``` ``` content='' id='run-8cff4721-2acd-4551-9bf7-1911dae46b92' content='Hello' id='run-8cff4721-2acd-4551-9bf7-1911dae46b92' content='!' id='run-8cff4721-2acd-4551-9bf7-1911dae46b92' content='' response_metadata={'finish_reason': 'stop'} id='run-8cff4721-2acd-4551-9bf7-1911dae46b92' ``` ```python for chunk in llm.stream("hi", stream_options={"include_usage": True}): print(chunk) ``` ``` content='' id='run-39ab349b-f954-464d-af6e-72a0927daa27' content='Hello' id='run-39ab349b-f954-464d-af6e-72a0927daa27' content='!' id='run-39ab349b-f954-464d-af6e-72a0927daa27' content='' response_metadata={'finish_reason': 'stop'} id='run-39ab349b-f954-464d-af6e-72a0927daa27' content='' id='run-39ab349b-f954-464d-af6e-72a0927daa27' usage_metadata={'input_tokens': 8, 'output_tokens': 9, 'total_tokens': 17} ``` ```python llm = ChatOpenAI().bind(stream_options={"include_usage": True}) for chunk in llm.stream("hi"): print(chunk) ``` ``` content='' id='run-59918845-04b2-41a6-8d90-f75fb4506e0d' content='Hello' id='run-59918845-04b2-41a6-8d90-f75fb4506e0d' content='!' id='run-59918845-04b2-41a6-8d90-f75fb4506e0d' content='' response_metadata={'finish_reason': 'stop'} id='run-59918845-04b2-41a6-8d90-f75fb4506e0d' content='' id='run-59918845-04b2-41a6-8d90-f75fb4506e0d' usage_metadata={'input_tokens': 8, 'output_tokens': 9, 'total_tokens': 17} ```	4 months ago
Karim Lalani	a1899439fc	[experimental][llms][ollama_functions] Update OllamaFunctions to send `tool_calls` attribute (#21625 ) Update OllamaFunctions to return `tool_calls` for AIMessages when used for tool calling.	4 months ago
Bagatur	d61bdeba25	core[patch]: allow access RunnableWithFallbacks.runnable attrs (#22139 ) RFC, candidate fix for #13095 #22134	4 months ago
SteveLiao	7496fe2b16	Update parent_document_retriever.py about kwargs (#22219 ) Add kwargs in add_documents function langchain: Add kwargs in parent_document_retriever" - Add kwargs for `add_document` in `parent_document_retriever.py` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	4 months ago
Erick Friis	93240fac68	milvus: fix core dep (#22239 )	4 months ago
ChengZi	404d92ded0	milvus: New langchain_milvus package and new milvus features (#21077 ) New features: - New langchain_milvus package in partner - Milvus collection hybrid search retriever - Zilliz cloud pipeline retriever - Milvus Local guid - Rag-milvus template --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Signed-off-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Jael Gu <mengjia.gu@zilliz.com> Co-authored-by: Jackson <jacksonxie612@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>	4 months ago
Leonid Ganeline	d6995e814b	ai21[patch]: added `license` (#22153 ) The `pyproject.toml` missed the `license` parameter. I've added it as `MIT`	4 months ago
Maddy Adams	8332a36f69	infra: update langchainhub and add integration test (#22154 ) Description: Update langchainhub integration test dependency and add an integration test for pulling private prompt Dependencies: langchainhub 0.1.16	4 months ago
Will Higgins	83d10df78d	community[patch]: Update firecrawl api key name (#22183 ) Change 'FIREWALL' to 'FIRECRAWL' as I believe this may have been in error. Other docs refer to 'FIRECRAWL_API_KEY'. 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, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
hmasdev	bbd7015b5d	core[patch]: Add `TypeError` handler into `get_graph` of `Runnable` (#19856 ) # Description ## Problem `Runnable.get_graph` fails when `InputType` or `OutputType` property raises `TypeError`. - `003c98e5b4/libs/core/langchain_core/runnables/base.py (L250-L274)` - `003c98e5b4/libs/core/langchain_core/runnables/base.py (L394-L396)` This problem prevents getting a graph of `Runnable` objects whose `InputType` or `OutputType` property raises `TypeError` but whose `invoke` works well, such as `langchain.output_parsers.RegexParser`, which I have already pointed out in #19792 that a `TypeError` would occur. ## Solution - Add `try-except` syntax to handle `TypeError` to the codes which get `input_node` and `output_node`. # Issue - #19801 # Twitter Handle - [hmdev3](https://twitter.com/hmdev3) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Mohammad Mohtashim	577ed68b59	mistralai[patch]: Added Json Mode for ChatMistralAI (#22213 ) - Description: Powered [ChatMistralAI.with_structured_output](`fbfed65fb1/libs/partners/mistralai/langchain_mistralai/chat_models.py (L609)`) via json mode - Issue: #22081 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Pavlo Paliychuk	342df7cf83	community[minor]: Add Zep Cloud components + docs + examples (#21671 ) Thank you for contributing to LangChain! - [x] PR title: community: Add Zep Cloud components + docs + examples - [x] PR message: We have recently released our new zep-cloud sdks that are compatible with Zep Cloud (not Zep Open Source). We have also maintained our Cloud version of langchain components (ChatMessageHistory, VectorStore) as part of our sdks. This PRs goal is to port these components to langchain community repo, and close the gap with the existing Zep Open Source components already present in community repo (added ZepCloudMemory,ZepCloudVectorStore,ZepCloudRetriever). Also added a ZepCloudChatMessageHistory components together with an expression language example ported from our repo. We have left the original open source components intact on purpose as to not introduce any breaking changes. - Issue: - - Dependencies: Added optional dependency of our new cloud sdk `zep-cloud` - Twitter handle: @paulpaliychuk51 - [x] Add tests and 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/ 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 months ago
Jan Soubusta	cccc8fbe2f	community[patch]: DuckDB VS - expose similarity, improve performance of from_texts (#20971 ) 3 fixes of DuckDB vector store: - unify defaults in constructor and from_texts (users no longer have to specify `vector_key`). - include search similarity into output metadata (fixes #20969) - significantly improve performance of `from_documents` Dependencies: added Pandas to speed up `from_documents`. I was thinking about CSV and JSON options, but I expect trouble loading JSON values this way and also CSV and JSON options require storing data to disk. Anyway, the poetry file for langchain-community already contains a dependency on Pandas. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	4 months ago
Erick Friis	42ffcb2ff1	anthropic: release 0.1.14rc2, test release note gen (#22147 )	4 months ago
Ameya Shenoy	8ba492ed6a	community[minor]: clickhouse -- ability to use secure connection (#22108 ) - Description: this PR gives clickhouse client the ability to use a secure connection to the clickhosue server - Issue: fixes #22082 - Dependencies: - - Twitter handle: `_codingcoffee_` Signed-off-by: Ameya Shenoy <shenoy.ameya@gmail.com> Co-authored-by: Shresth Rana <shresth@grapevine.in>	4 months ago
ccurme	9a010fb761	openai: read stream_options (#21548 ) OpenAI recently added a `stream_options` parameter to its chat completions API (see [release notes](https://platform.openai.com/docs/changelog/added-chat-completions-stream-usage)). When this parameter is set to `{"usage": True}`, an extra "empty" message is added to the end of a stream containing token usage. Here we propagate token usage to `AIMessage.usage_metadata`. We enable this feature by default. Streams would now include an extra chunk at the end, after the chunk with `response_metadata={'finish_reason': 'stop'}`. New behavior: ``` [AIMessageChunk(content='', id='run-4b20dbe0-3817-4f62-b89d-03ef76f25bde'), AIMessageChunk(content='Hello', id='run-4b20dbe0-3817-4f62-b89d-03ef76f25bde'), AIMessageChunk(content='!', id='run-4b20dbe0-3817-4f62-b89d-03ef76f25bde'), AIMessageChunk(content='', response_metadata={'finish_reason': 'stop'}, id='run-4b20dbe0-3817-4f62-b89d-03ef76f25bde'), AIMessageChunk(content='', id='run-4b20dbe0-3817-4f62-b89d-03ef76f25bde', usage_metadata={'input_tokens': 8, 'output_tokens': 9, 'total_tokens': 17})] ``` Old behavior (accessible by passing `stream_options={"include_usage": False}` into (a)stream: ``` [AIMessageChunk(content='', id='run-1312b971-c5ea-4d92-9015-e6604535f339'), AIMessageChunk(content='Hello', id='run-1312b971-c5ea-4d92-9015-e6604535f339'), AIMessageChunk(content='!', id='run-1312b971-c5ea-4d92-9015-e6604535f339'), AIMessageChunk(content='', response_metadata={'finish_reason': 'stop'}, id='run-1312b971-c5ea-4d92-9015-e6604535f339')] ``` From what I can tell this is not yet implemented in Azure, so we enable only for ChatOpenAI.	4 months ago
Rahul Triptahi	1a485f59b9	community[patch]: Put authorized identities behind a feature flag in SharepointLoader (#22125 ) Description: Put authorised identities behind a feature flag, load_auth. Documentation: N/A Unit tests: N/A --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	4 months ago
sasha	1c9ceff503	community: add metadata to chain logging; (#22122 ) Hey, I'm Sasha. The SDK engineer from [Comet](https://comet.com). This PR updates the CometTracer class. Added metadata to CometTracerr. From now on, both chains and spans will send it.	4 months ago
Jirka Lhotka	7c0459faf2	community: Update costs of openai finetuned models (#22124 ) - Description: Update costs of finetuned models and add gpt-3-turbo-0125. Source: https://openai.com/api/pricing/ - Issue: N/A - Dependencies: None	4 months ago
Eugene Yurtsev	d3db83abe3	community[major]: lint for usage of xml library (#22132 ) * Lint for usage of standard xml library * Add forced opt-in for quip client * Actual security issue is with underlying QuipClient not LangChain integration (since the client is doing the parsing), but adding enforcement at the LangChain level.	4 months ago
Bagatur	baa3c975cb	anthropic[patch]: allow tool call mutation (#22130 ) If tool_use blocks and tool_calls with overlapping IDs are present, prefer the values of the tool_calls. Allows for mutating AIMessages just via tool_calls.	4 months ago
Christophe Bornet	c838de5027	doc: Add doc for CassandraByteStore (#22126 ) Preview: https://langchain-git-fork-cbornet-doc-cassandrabytestore-langchain.vercel.app/v0.2/docs/integrations/stores/cassandra/	4 months ago
ccurme	0ea1e89b2c	groq: read tool calls from .tool_calls attribute (#22096 )	4 months ago
Eugene Yurtsev	2d693c484e	docs: fix some spelling mistakes caught by newest version of code spell (#22090 ) Going to merge this even though it doesn't pass all tests, and open a separate PR for the remaining spelling mistakes.	4 months ago
Pavel Zloi	fe26f937e4	community[minor]: ManticoreSearch engine added to vectorstore (#19117 ) Description: ManticoreSearch engine added to vectorstores Issue: no issue, just a new feature Dependencies: https://pypi.org/project/manticoresearch-dev/ Twitter handle: @EvilFreelancer - Example notebook with test integration: https://github.com/EvilFreelancer/langchain/blob/manticore-search-vectorstore/docs/docs/integrations/vectorstores/manticore_search.ipynb --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Erick Friis	95c3e5f85f	cli: model name substitution fix, release 0.0.23 (#22089 )	4 months ago
ccurme	152c8cac33	anthropic, openai: cut pre-releases (#22083 )	4 months ago
ccurme	cd07521170	core: bump to 0.2.1rc (#22080 )	4 months ago
ccurme	fbfed65fb1	core, partners: add token usage attribute to AIMessage (#21944 ) ```python class UsageMetadata(TypedDict): """Usage metadata for a message, such as token counts. Attributes: input_tokens: (int) count of input (or prompt) tokens output_tokens: (int) count of output (or completion) tokens total_tokens: (int) total token count """ input_tokens: int output_tokens: int total_tokens: int ``` ```python class AIMessage(BaseMessage): ... usage_metadata: Optional[UsageMetadata] = None """If provided, token usage information associated with the message.""" ... ```	4 months ago
Bagatur	3d26807b92	community[patch]: Release. 0.2.1 (#22073 )	4 months ago
Bagatur	2d968213d7	langchain[patch]: Release 0.2.1 (#22074 )	4 months ago
maang-h	9aba9e3e33	community[patch]: Update the default “API URL” and “MODEL” of sparkllm (#22070 ) - Description: When I was running the sparkllm, I found that the default parameters currently used could no longer run correctly. - original parameters & values: - spark_api_url: "wss://spark-api.xf-yun.com/v3.1/chat" - spark_llm_domain: "generalv3" ```python # example from langchain_community.chat_models import ChatSparkLLM spark = ChatSparkLLM(spark_app_id="my_app_id", spark_api_key="my_api_key", spark_api_secret="my_api_secret") spark.invoke("hello") ``` ![sparkllm](https://github.com/langchain-ai/langchain/assets/55082429/5369bfdf-4305-496a-bcf5-2d3f59d39414) So I updated them to 3.5 (same as sparkllm official website). After the update, they can be used normally. - new parameters & values: - spark_api_url: "wss://spark-api.xf-yun.com/v3.5/chat" - spark_llm_domain: "generalv3.5"	4 months ago
junkeon	4fda7bf4f2	upstage[patch] : fix error handling in Layout Analysis parser (#22054 ) This pull request addresses and fixes exception handling in the UpstageLayoutAnalysisParser and enhances the test coverage by adding error exception tests for the document loader. These improvements ensure robust error handling and increase the reliability of the system when dealing with external API calls and JSON responses. ### Changes Made 1. Fix Request Exception Handling: - Issue: The existing implementation of UpstageLayoutAnalysisParser did not properly handle exceptions thrown by the requests library, which could lead to unhandled exceptions and potential crashes. - Solution: Added comprehensive exception handling for requests.RequestException to catch any request-related errors. This includes logging the error details and raising a ValueError with a meaningful error message. 2. Add Error Exception Tests for Document Loader: - New Tests: Introduced new test cases to verify the robustness of the UpstageLayoutAnalysisLoader against various error scenarios. The tests ensure that the loader gracefully handles: - RequestException: Simulates network issues or invalid API requests to ensure appropriate error handling and user feedback. - JSONDecodeError: Simulates scenarios where the API response is not a valid JSON, ensuring the system does not crash and provides clear error messaging.	4 months ago
JuHyung Son	d9eff44400	partner-upstage[patch]: embeddings empty list bug (#22057 ) Fixed an error in `embed_documents` when the input was given as an empty list. And I have revised the document.	4 months ago
Martin Triska	2df8ac402a	community[minor]: Added propagation of document metadata from O365BaseLoader (#20663 ) Description: - Added propagation of document metadata from O365BaseLoader to FileSystemBlobLoader (O365BaseLoader uses FileSystemBlobLoader under the hood). - This is done by passing dictionary `metadata_dict`: key=filename and value=dictionary containing document's metadata - Modified `FileSystemBlobLoader` to accept the `metadata_dict`, use `mimetype` from it (if available) and pass metadata further into blob loader. Issue: - `O365BaseLoader` under the hood downloads documents to temp folder and then uses `FileSystemBlobLoader` on it. - However metadata about the document in question is lost in this process. In particular: - `mime_type`: `FileSystemBlobLoader` guesses `mime_type` from the file extension, but that does not work 100% of the time. - `web_url`: this is useful to keep around since in RAG LLM we might want to provide link to the source document. In order to work well with document parsers, we pass the `web_url` as `source` (`web_url` is ignored by parsers, `source` is preserved) Dependencies: None Twitter handle: @martintriska1 Please review @baskaryan --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
Eugene Yurtsev	e5541d1da7	community[patch]: Update doc-string in CloudBlobLoader (#22069 ) Update doc-string	4 months ago
Philippe PRADOS	6dd621d636	community[minor]: Add CloudBlobLoader that supports loading data from cloud buckets (#21957 ) Thank you for contributing to LangChain! - [ ] PR title: "Add CloudBlobLoader" - community: Add CloudBlobLoader - [ ] PR message: Add cloud blob loader - Description: Langchain provides several approaches to read different file formats: Specific loaders (`CVSLoader`) or blob-compatible loaders (`FileSystemBlobLoader`). The only implementation proposed for BlobLoader is `FileSystemBlobLoader`. Many projects retrieve files from cloud storage. We propose a new implementation of `BlobLoader` to read files from the three cloud storage systems. The interface is strictly identical to `FileSystemBlobLoader`. The only difference is the constructor, which takes a cloud "url" object such as `s3://my-bucket`, `az://my-bucket`, or `gs://my-bucket`. By streamlining the process, this novel implementation eliminates the requirement to pre-download files from cloud storage to local temporary files (which are seldom removed). The code relies on the [CloudPathLib](https://cloudpathlib.drivendata.org/stable/) library to interpret cloud URLs. This has been added as an optional dependency. ```Python loader = CloudBlobLoader("s3://mybucket/id") for blob in loader.yield_blobs(): print(blob) ``` - [X] Dependencies: CloudPathLib - [X] Twitter handle: pprados - [X] Add tests and docs: Add unit test, but it's easy to convert to integration test, with some files in a cloud storage (see `test_cloud_blob_loader.py`) - [X] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. Hello from Paris @hwchase17. Can you review this PR? --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	4 months ago
Christophe Bornet	74947ec894	community[minor]: Add Cassandra ByteStore (#22064 )	4 months ago
Christophe Bornet	fea6b99b16	community[minor]: Add async methods to CassandraChatMessageHistory (#21975 )	4 months ago
Sky	12d65f17ff	community[patch]: surrealdb provide functions for MMR (Maximal Marginal Relevance) (#21185 ) This PR contains 4 added functions: - max_marginal_relevance_search_by_vector - amax_marginal_relevance_search_by_vector - max_marginal_relevance_search - amax_marginal_relevance_search I'm no langchain expert, but tried do inspect other vectorstore sources like chroma, to build these functions for SurrealDB. If someone has some changes for me, please let me know. Otherwise I would be happy, if these changes are added to the repository, so that I can use the orignal repo and not my local monkey patched version. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Bruno Alvisio	5eabe90494	community[patch]: Adding HEADER to the list of supported locations (#21946 ) Description: adds headers to the list of supported locations when generating the openai function schema	4 months ago
Bagatur	50186da0a1	infra: rm unused # noqa violations (#22049 ) Updating #21137	4 months ago
acho98	45ed5f3f51	community[minor]: Add Clova Embeddings for LangChain Community (#21890 ) - [ ] PR title: "Add Naver ClovaX embedding to LangChain community" - HyperClovaX is a large language model developed by [Naver](https://clova-x.naver.com/welcome). It's a powerful and purpose-trained LLM. - You can visit the embedding service provided by [ClovaX](https://www.ncloud.com/product/aiService/clovaStudio) - You may get CLOVA_EMB_API_KEY, CLOVA_EMB_APIGW_API_KEY, CLOVA_EMB_APP_ID From https://www.ncloud.com/product/aiService/clovaStudio --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
arpitkumar980	444c2a3d9f	community[patch]: sharepoint loader identity enabled (#21176 ) 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:https://github.com/arpitkumar980/langchain.git - 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: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
HuiyuanYan	bf3aefce93	community[patch]: Update tongyi.py to support MultimodalConversation in dashscope. (#21249 ) Add the support of multimodal conversation in dashscope,now we can use multimodal language model "qwen-vl-v1", "qwen-vl-chat-v1", "qwen-audio-turbo" to processing picture an audio. :) - [ ] PR title: "community: add multimodal conversation support in dashscope" - [ ] PR message: *Delete this entire checklist* and replace with - Description: add multimodal conversation support in dashscope - Issue: - Dependencies: dashscope≥1.18.0 - Twitter handle: none :) - [ ] How to use it?: - ```python Tongyi_chat = ChatTongyi( top_p=0.5, dashscope_api_key=api_key, model="qwen-vl-v1" ) response= Tongyi_chat.invoke( input = [ { "role": "user", "content": [ {"image": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"}, {"text": "这是什么?"} ] } ] ) ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
mochi	63284ffebf	experimental[patch], docs: refine notebook for MyScale `SelfQueryRetriever` (#22016 ) - Description: upgrade model to `gpt-4o`	4 months ago
MSubik	d948783a4c	community[patch]: standardize init args, update for javelin sdk release. (#21980 ) Related to [20085](https://github.com/langchain-ai/langchain/issues/20085) Updated the Javelin chat model to standardize the initialization argument. Also fixed an existing bug, where code was initialized with incorrect call to the JavelinClient defined in the javelin_sdk, resulting in an initialization error. See related [Javelin Documentation](https://docs.getjavelin.io/docs/javelin-python/quickstart).	4 months ago
Mohammad Mohtashim	16617dd239	community[patch]: AzureSearchVectorStoreRetriever Fixed to account for search_kwargs (#21572 ) - Description: Fixed `AzureSearchVectorStoreRetriever` to account for search_kwargs. More explanation is in the mentioned issue. - Issue: #21492 --------- Co-authored-by: MAC <mac@MACs-MacBook-Pro.local> Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Klaudia Lemiec	45351d1bc6	docs: Chroma docstrings update (#22001 ) Thank you for contributing to LangChain! - [X] PR title: "docs: Chroma docstrings update" - 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: - Description: Added and updated Chroma docstrings - Issue: https://github.com/langchain-ai/langchain/issues/21983 - [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. - only 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/ 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, ccurme, vbarda, hwchase17.	4 months ago
Jerron Lim	28456c2c33	community[patch]: add args_schema to WikipediaQueryRun (#22019 ) Description: This change adds args_schema (pydantic BaseModel) to WikipediaQueryRun for correct schema formatting on LLM function calls Issue: currently using WikipediaQueryRun with OpenAI function calling returns the following error "TypeError: WikipediaQueryRun._run() got an unexpected keyword argument '__arg1' ". This happens because the schema sent to the LLM is "input: '{"__arg1":"Hunter x Hunter"}'" while the method should be called with the "query" parameter. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Mazen Ramadan	3c1d77dd64	community[minor]: Add Scrapfly Loader community integration (#22036 ) Added [Scrapfly](https://scrapfly.io/) Web Loader integration. Scrapfly is a web scraping API that allows extracting web page data into accessible markdown or text datasets. - __Description__: Added Scrapfly web loader for retrieving web page data as markdown or text. - Dependencies: scrapfly-sdk - Twitter: @thealchemi1st --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
ccurme	b51a1eba4d	langchain, community: move OpenAIAssistantV2Runnable to community (#22044 )	4 months ago
CaroFG	6b98140b38	community[patch]: update for compatibility with Meilisearch v1.8 (#21979 ) 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: Updates Meilisearch vectorstore for compatibility with v1.8. Adds [”showRankingScore”: true”](https://www.meilisearch.com/docs/reference/api/search#ranking-score) in the search parameters and replaces `_semanticScore` field with ` _rankingScore` - [ ] 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, ccurme, vbarda, hwchase17.	4 months ago
Oleksii Pokotylo	98c0b093bb	community[patch]: Extend AzureSearch with `maximal_marginal_relevance`, `from_embeddings` (#21065 ) Description: - Extend AzureSearch with `maximal_marginal_relevance` (for vector and hybrid search) - Add construction `from_embeddings` - if the user has already embedded the texts - Add `add_embeddings` - Refactor common parts (`_simple_search`, `_results_to_documents`, `_reorder_results_with_maximal_marginal_relevance`) - Add `vector_search_dimensions` as a parameter to the constructor to avoid extra calls to `embed_query` (most of the time the user applies the same model and knows the dimension) Issue: none Dependencies: none - [x] Add tests and docs: The docstrings have been added to the new functions, and unified for the existing ones. The example notebook is great in illustrating the main usage of AzureSearch, adding the new methods would only dilute the main content. - [x] Lint and test --------- Co-authored-by: Oleksii Pokotylo <oleksii.pokotylo@pwc.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
SaschaStoll	709664a079	community[patch]: Performant filter columns option for Hanavector (#21971 ) Description: Backwards compatible extension of the initialisation interface of HanaDB to allow the user to specify specific_metadata_columns that are used for metadata storage of selected keys which yields increased filter performance. Any not-mentioned metadata remains in the general metadata column as part of a JSON string. Furthermore switched to executemany for batch inserts into HanaDB. Issue: N/A Dependencies: no new dependencies added Twitter handle: @sapopensource --------- Co-authored-by: Martin Kolb <martin.kolb@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Bagatur	16b55b0704	langchain[patch]: remove dataclasses-json dep (#22042 ) vestigial dep afaict	4 months ago
Christos Boulmpasakos	c3bcfad66d	text-splitters[patch]: Extend TextSplitter:keep_separator functionality (#21130 ) Description: Added extra functionality to `CharacterTextSplitter`, `TextSplitter` classes. The user can select whether to append the separator to the previous chunk with `keep_separator='end' ` or else prepend to the next chunk. Previous functionality prepended by default to next chunk. Issue: Fixes #20908 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Eric Zhang	e7e41eaabe	langchain: add RankLLM Reranker (#21171 ) Integrate RankLLM reranker (https://github.com/castorini/rank_llm) into LangChain An example notebook is given in `docs/docs/integrations/retrievers/rankllm-reranker.ipynb` --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	4 months ago
maang-h	fc93bed8c4	community: Fix CSVLoader columns is None (#20701 ) - Bug code: In langchain_community/document_loaders/csv_loader.py:100 - Description: currently, when 'CSVLoader' reads the column as None in the 'csv' file, it will report an error because the 'CSVLoader' does not verify whether the column is of str type and does not consider how to handle the corresponding 'row_data' when the column is' None 'in the csv. This pr provides a solution. - Issue: Fix #20699 - thinking: 1. Refer to the processing method for 'langchain_community/document_loaders/csv_loader.py:100' when 'v' equals'None', and apply the same method to 'k'. (Reference`csv.DictReader` ,'k' will only be None when ` len(columns) < len(number_row_data)` is established) 2. ‘k’ equals None only holds when it is the last column, and its corresponding 'v' type is a list. Therefore, I referred to the data format in 'Document' and used ',' to concatenated the elements in the list.(But I'm not sure if you accept this form, if you have any other ideas, communicate) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Nithin James Padayatti	403142eaba	langchain: added revision_example prompt template (#20916 ) Description: Added revision_example prompt template to include the revision request and revision examples in the revision chain. Issue: Not Applicable Dependencies: Not Applicable Twitter handle: @nithinjp09	4 months ago
Sihan Chen	1f81277b9b	community[minor]: allow enabling proxy in aiohttp session in AsyncHTML (#19499 ) Allow enabling proxy in aiohttp session async html	4 months ago
Eugene Yurtsev	36813d2f00	community[patch]: Fix remaining __inits__ in community (#22037 ) Fixes the __init__ files in community to use __all__ which is statically defined.	4 months ago
Eugene Yurtsev	58360a1e53	community[patch]: Add unit test to verify that init is correctly defined (#22030 ) Fix some __init__ files and add a unit test	4 months ago
Erick Friis	ef53ccf54b	robocorp: release 0.0.8 (#22034 )	4 months ago
Matthew Hoffman	4f2e3bd7fd	community[patch]: fix public interface for embeddings module (#21650 ) ## Description The existing public interface for `langchain_community.emeddings` is broken. In this file, `__all__` is statically defined, but is subsequently overwritten with a dynamic expression, which type checkers like pyright do not support. pyright actually gives the following diagnostic on the line I am requesting we remove: [reportUnsupportedDunderAll](https://github.com/microsoft/pyright/blob/main/docs/configuration.md#reportUnsupportedDunderAll): ``` Operation on "__all__" is not supported, so exported symbol list may be incorrect ``` Currently, I get the following errors when attempting to use publicablly exported classes in `langchain_community.emeddings`: ```python import langchain_community.embeddings langchain_community.embeddings.HuggingFaceEmbeddings(...) # error: "HuggingFaceEmbeddings" is not exported from module "langchain_community.embeddings" (reportPrivateImportUsage) ``` This is solved easily by removing the dynamic expression.	4 months ago
Eugene Yurtsev	8d82160a8a	community[patch]: Clean up logic in import checking unit test (#22026 ) Clean up unit test	4 months ago
Tomaz Bratanic	d8a1f1114d	community[patch]: Handle exceptions where node props aren't consistent in neo4j schema (#22027 )	4 months ago
WeichenXu	b0ef5e778a	community[patch]: Fix ChatDatabricsk in case that streaming response doesn't have role field in delta chunk (#21897 ) 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" Description: Fix ChatDatabricsk in case that streaming response doesn't have role field in delta chunk - [ ] 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. --------- Signed-off-by: Weichen Xu <weichen.xu@databricks.com>	4 months ago
Eugene Yurtsev	aed64daabb	community[patch]: Add unit test to catch bad __all__ definitions (#21996 ) This will catch all dynamic __all__ definitions.	4 months ago
Bagatur	3b0437c05b	core[patch]: Release 0.2.1 (#22003 )	4 months ago
Kefan You	24b5c27bb1	community[patch]: raise_for_status logic missing in async _fetch of WebBaseLoader (#21948 ) ## 'raise_for_status' parameter of WebBaseLoader works in sync load but not in async load. In webBaseLoader: Sync load is calling `_scrape` and has `raise_for_status` properly handled. ``` def _scrape( self, url: str, parser: Union[str, None] = None, bs_kwargs: Optional[dict] = None, ) -> Any: from bs4 import BeautifulSoup if parser is None: if url.endswith(".xml"): parser = "xml" else: parser = self.default_parser self._check_parser(parser) html_doc = self.session.get(url, self.requests_kwargs) if self.raise_for_status: html_doc.raise_for_status() if self.encoding is not None: html_doc.encoding = self.encoding elif self.autoset_encoding: html_doc.encoding = html_doc.apparent_encoding return BeautifulSoup(html_doc.text, parser, (bs_kwargs or {})) ``` Async load is calling `_fetch` but missing `raise_for_status` logic. ``` async def _fetch( self, url: str, retries: int = 3, cooldown: int = 2, backoff: float = 1.5 ) -> str: async with aiohttp.ClientSession() as session: for i in range(retries): try: async with session.get( url, headers=self.session.headers, ssl=None if self.session.verify else False, cookies=self.session.cookies.get_dict(), ) as response: return await response.text() ``` Co-authored-by: kefan.you <darkfss@sina.com>	4 months ago
Surya Rath	eb096675a8	OpenAI Assistants v2 api support for OpenAIAssistantRunnable (#21484 ) Title: "langchain: OpenAI Assistants v2 api support" *Descriptions* - [x] "attachments" support added along with backward compatibility of "file_ids" - [x] "tool_resources" support added while creating new assistant - [ ] "tool_choice" parameter support - [ ] Streaming support - Dependencies: OpenAI v2 API (openai>=1.23.0) - Twitter handle: @skanta_rath --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
Eugene Yurtsev	7a5d042bd2	langchain[patch]: Add unit test to detect changes to community imports (#21998 ) Add unit tests for community imports	4 months ago
Eugene Yurtsev	90f4d8842f	langchain[patch]: Turn on all deprecations for 0.2 (#21999 ) - Turn on all 0.2 import deprecations. - Update error messag with URL to upgrade instructions.	4 months ago
Asaf Joseph Gardin	a042e804b4	ai21: AI21 Jamba docs (#21978 ) - Updated docs to have an example to use Jamba instead of J2 --------- Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Pengcheng Liu	4cf523949a	community[patch]: Update model client to support vision model in Tong… (#21474 ) - Description: Tongyi uses different client for chat model and vision model. This PR chooses proper client based on model name to support both chat model and vision model. Reference [tongyi document](https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-qianwen-vl-plus-api?spm=a2c4g.11186623.0.0.27404c9a7upm11) for details. ``` from langchain_core.messages import HumanMessage from langchain_community.chat_models import ChatTongyi llm = ChatTongyi(model_name='qwen-vl-max') image_message = { "image": "https://lilianweng.github.io/posts/2023-06-23-agent/agent-overview.png" } text_message = { "text": "summarize this picture", } message = HumanMessage(content=[text_message, image_message]) llm.invoke([message]) ``` - Issue: None - Dependencies: None - Twitter handle: None	4 months ago
Sevin F. Varoglu	1bc0ea5496	community[patch]: update OctoAIEmbeddings to subclass OpenAIEmbeddings (#21805 )	4 months ago
Eugene Yurtsev	ded53297e0	core[patch]: Add unit test for RunnableGenerator for eventstream v2 (#21990 ) No unit tests with runnable generator	4 months ago
Nuno Campos	fb6108c8f5	core[patch]: In astream_events(version=v2) tap output of root run (#21977 ) - if tap_output_iter/aiter is called multiple times for the same run issue events only once - if chat model run is tapped don't issue duplicate on_llm_new_token events - if first chunk arrives after run has ended do not emit it as a stream event --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	4 months ago
Bagatur	72d4a8eeed	community[patch]: AzureSearch dont overwrite default async (#21989 )	4 months ago
ccurme	a983465694	docs: set default anthropic model (#21988 ) `ChatAnthropic()` raises ValidationError.	4 months ago
ccurme	4be5537837	Revert "anthropic: set default model" (#21987 ) Reverts langchain-ai/langchain#21986	4 months ago
ccurme	35439cf3bd	anthropic: set default model (#21986 ) Various docs reference `ChatAnthropic()`, but this currently raises ValidationError.	4 months ago
ccurme	0923136851	langchain: default to Runnable in MultiQueryRetriever (#21770 ) - `llm_chain` becomes `Union[LLMChain, Runnable]` - `.from_llm` creates a runnable tested by verifying that docs/how_to/MultiQueryRetriever.ipynb runs unchanged with sync/async invoke (and that it runs if we specifically instantiate with LLMChain).	4 months ago
Yulong Wang	8e1aeb8ad5	community[patch]: Fix typo in arxiv tool's doc (#21970 ) Fix typo in arxiv tool's doc	4 months ago
Robert Caulk	54adcd9e82	community[minor]: add AskNews retriever and AskNews tool (#21581 ) We add a tool and retriever for the [AskNews](https://asknews.app) platform with example notebooks. The retriever can be invoked with: ```py from langchain_community.retrievers import AskNewsRetriever retriever = AskNewsRetriever(k=3) retriever.invoke("impact of fed policy on the tech sector") ``` To retrieve 3 documents in then news related to fed policy impacts on the tech sector. The included notebook also includes deeper details about controlling filters such as category and time, as well as including the retriever in a chain. The tool is quite interesting, as it allows the agent to decide how to obtain the news by forming a query and deciding how far back in time to look for the news: ```py from langchain_community.tools.asknews import AskNewsSearch from langchain import hub from langchain.agents import AgentExecutor, create_openai_functions_agent from langchain_openai import ChatOpenAI tool = AskNewsSearch() instructions = """You are an assistant.""" base_prompt = hub.pull("langchain-ai/openai-functions-template") prompt = base_prompt.partial(instructions=instructions) llm = ChatOpenAI(temperature=0) asknews_tool = AskNewsSearch() tools = [asknews_tool] agent = create_openai_functions_agent(llm, tools, prompt) agent_executor = AgentExecutor( agent=agent, tools=tools, verbose=True, ) agent_executor.invoke({"input": "How is the tech sector being affected by fed policy?"}) ``` --------- Co-authored-by: Emre <e@emre.pm>	4 months ago
Jesse S	fc79b372cb	community[minor]: add aerospike vectorstore integration (#21735 ) Please let me know if you see any possible areas of improvement. I would very much appreciate your constructive criticism if time allows. Description: - Added a aerospike vector store integration that utilizes [Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/) add-on. - Added both unit tests and integration tests - Added a docker compose file for spinning up a test environment - Added a notebook Dependencies: any dependencies required for this change - aerospike-vector-search Twitter handle: - No twitter, you can use my GitHub handle or LinkedIn if you'd like Thanks! --------- Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Prince Canuma	3587c60396	community[patch]: Fix MLX LLM Stream (#20575 ) Closes #20561 This PR fixes MLX LLM stream `AttributeError`. Recently, `mlx-lm` changed the token decoding logic, which affected the LC+MLX integration. Additionally, I made minor fixes such as: docs example broken link and enforcing pipeline arguments (max_tokens, temp and etc) for invoke. - Issue: #20561 - Twitter handle: @Prince_Canuma	4 months ago
Rahul Triptahi	96bd0b0844	community[patch]: Remove redundant pebblo cloud api call (#21589 ) Description: removed redundant pebblo cloud api call. Changed classified `doc` key to `ai_apps_data`. Documentation: N/A Unit tests: N/A	4 months ago
Param Singh	d07885f8b7	community[patch]: standardized sparkllm init args (#21633 ) Related to #20085 @baskaryan Thank you for contributing to LangChain! community:sparkllm[patch]: standardized init args updated `spark_api_key` so that aliased to `api_key`. Added integration test for `sparkllm` to test that it continues to set the same underlying attribute. updated temperature with Pydantic Field, added to the integration test. Ran `make format`,`make test`, `make lint`, `make spell_check`	4 months ago
Dhruv Chawla	d4359d3de6	community[patch]: Update UpTrain Callback Handler to support the new UpTrain evaluation schema (#21656 ) UpTrain has a new dashboard now that makes it easier to view projects and evaluations. Using this requires specifying both project_name and evaluation_name when performing evaluations. I have updated the code to support it.	4 months ago
Alex Riina	c0e3c3a350	openai[patch], community[patch]: add pricing and max context window for GPT-4o (#21673 ) # Add pricing and max context window for GPT-4o - community: add cost per 1k tokens and max context window - partners: add max context window Description: adds static information about GPT-4o based on https://openai.com/api/pricing/ and https://platform.openai.com/docs/models/gpt-4o so that GPT-4o reporting is accurate. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
缨缨	bd39b2ccdf	community: enable SupabaseVectorStore to support extended table fields (#21762 ) Thank you for contributing to LangChain! - [x] PR title: "community: enable SupabaseVectorStore to support extended table fields" - [x] PR message: - Added extension fields to the function _add_vectors so that users can add other custom fields when insert a record into the database. eg: ![image](https://github.com/langchain-ai/langchain/assets/10885578/e1d5ca20-936e-4cab-ba69-8fdd23b8ce8f) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Leonid Ganeline	e98a4fd19a	ai21[patch]: configuration fix (#21790 ) added "repository" and "Source Code" parameters (these parameters are missed only in this partner package configuration).	4 months ago
Trayan Azarov	f54cbf8ff5	chroma[patch]: Chroma - remove reference to collection upon delete_collection (#21817 ) Description: - Reference to `Collection` object is set to `None` when deleting a collection `delete_collection()` - Added utility method `reset_collection()` to allow recreating the collection - Moved collection creation out of `__init__` into `__ensure_collection()` to be reused by object init and `reset_collection()` - `_collection` is now a property to avoid breaking changes Issues: - chroma-core/chroma#2213 Twitter: @t_azarov	4 months ago
Jens	b0b302ec6b	community[patch]: fixed aleph alpha default emedding request (#21826 ) - Description: In the aleph alpha client the paramater `normalize` is not optional. Setting this to `None` gives an error. - Dependencies: None Co-authored-by: Jens Lücke <jens.luecke@tngtech.com> Co-authored-by: Jens <jens.luecke@hu-berlin.de> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Jorge Piedrahita Ortiz	e6207ad4f3	community[patch]: Sambanova integration api update (#21848 ) - Description:: SambaStudio generic endpoint compatibility added Improved error description, and handling streaming examples added	4 months ago
Michael Reed	7a5e1bcf99	core[patch]: Fix NPE in function_calling._get_python_function_required_args (#21863 ) Example error message: line 206, in _get_python_function_required_args if is_function_type and required[0] == "self": ~~~~~~~~^^^ IndexError: list index out of range 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: 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! - [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. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Liuww	332ffed393	community[patch]: Adopting the lighter-weight xinference_client (#21900 ) While integrating the xinference_embedding, we observed that the downloaded dependency package is quite substantial in size. With a focus on resource optimization and efficiency, if the project requirements are limited to its vector processing capabilities, we recommend migrating to the xinference_client package. This package is more streamlined, significantly reducing the storage space requirements of the project and maintaining a feature focus, making it particularly suitable for scenarios that demand lightweight integration. Such an approach not only boosts deployment efficiency but also enhances the application's maintainability, rendering it an optimal choice for our current context. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
Tomaz Bratanic	a43515ca65	experimental[patch]: Pass enum only to openai in llm graph transformer (#21860 ) Some models like Groq return bad request if you pass in `enum` parameter in tool definition	4 months ago
Jiří Spilka	6499897c87	community[patch]: update apify integration to attribute API activity to langchain (#21909 ) Description: Add `Origin/langchain` to Apify's client's user-agent to attribute API activity to LangChain (at Apify, we aim to monitor our integrations to evaluate whether we should invest more in the LangChain integration regarding functionality and content) Issue: None Dependencies: None Twitter handle: None	4 months ago
Jared Van Bortel	25d1c1c9bb	nomic: implement local embeddings with the inference_mode parameter (#21934 ) ## Description This PR implements local and dynamic mode in the Nomic Embed integration using the inference_mode and device parameters. They work as documented [here](https://docs.nomic.ai/reference/python-api/embeddings#local-inference). <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --> --------- Co-authored-by: Erick Friis <erickfriis@gmail.com>	4 months ago
ccurme	0e72ed39a0	infra: fix CI on text-splitters (#21935 )	4 months ago
ccurme	4470d3b4a0	partners: bump core in packages implementing ls_params (#21868 ) These packages all import `LangSmithParams` which was released in langchain-core==0.2.0. N.B. we will need to release `openai` and then bump `langchain-openai` in `together` and `upstage`.	4 months ago
ccurme	9c76739425	mistral: implement ls_params (#21867 )	4 months ago
Tomaz Bratanic	d85e46321a	community[patch]: Better error message for neo4j vector when text is null (#21861 )	4 months ago
Stefano Lottini	f2e75f9500	cli[minor]: fix import path for two Astra DB classes in the migration json data (#21926 ) This PR fixes two mistakes in the import paths from community for the json data aiding the cli migration to 0.2. It is intended as a quick follow-up to https://github.com/langchain-ai/langchain/pull/21913 . @nicoloboschi FYI	4 months ago
WilliamEspegren	30bca57aae	doc list not empty (#21208 ) Make sure the doc list is not empty, and set Metadata: true in param, to enable the user to disable metadata for slightly faster crawls.	4 months ago
David Charles	8da35fba7f	langchain[minor]: add libs/partners to dev.Dockerfile (#21902 ) Resolves #21886 by adding "COPY libs/partners ../partners/" to libs/dev.Dockerfile Twitter: @kabakongo	4 months ago
TJ	8cd6ed3e1e	community[patch]: Update documentation string in databricks chat model (#21915 ) Update typos in documentation string in databricks chat model	4 months ago
Nicolò Boschi	dd00aac7ad	cli[minor]: add astradb in the cli migration to 0.2 (#21913 ) astradb has a new partner package but the automatic migration cli tool doesn't take care of migration astradb integrations	4 months ago
Coozywana	b6c8b6f944	Fix base.py typo (#21862 ) ChatOpenaAI --> ChatOpenAI 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 months ago
fzowl	d3624eaba1	partners: Remove unnecessary print from voyageai embeddings (#21865 ) Thank you for contributing to LangChain! Remove unnecessary print from voyageai embeddings - [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.	4 months ago
Bagatur	8b3c5f93f5	docs: lcel how to and cheatsheet (#21851 )	4 months ago
Nuno Campos	b1e7b40b6a	core: Tap output of sync iterators for astream_events (#21842 ) 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 months ago
Eugene Yurtsev	67b6f6c82a	core[patch]: Check if event loop is closed in memory stream (#21841 ) Check if event stream is closed in memory loop. Using try/except here to avoid race condition, but this may incur a small overhead in versions prios to 3.11	4 months ago
Erick Friis	2d3f4e1a16	experimental: release 0.0.59 (#21835 )	4 months ago
Erick Friis	169f525cfb	community: release 0.2.0 (#21834 )	4 months ago
Erick Friis	e5046cbd72	langchain: release 0.2.0, fix min deps (#21833 )	4 months ago
Erick Friis	1b555021f7	text-splitters: release 0.2.0 (#21832 )	4 months ago
Erick Friis	0ad8de5eb7	langchain: release 0.2.0 (#21831 )	4 months ago
Erick Friis	23310626b3	core: release 0.2.0 (#21829 )	4 months ago
Eugene Yurtsev	e3f30b4cde	docs: clean up link to bing search (#21825 ) Documentation should be inlined, not linking to medium article.	4 months ago
ccurme	181dfef118	core, standard tests, partner packages: add test for model params (#21677 ) 1. Adds `.get_ls_params` to BaseChatModel which returns ```python class LangSmithParams(TypedDict, total=False): ls_provider: str ls_model_name: str ls_model_type: Literal["chat"] ls_temperature: Optional[float] ls_max_tokens: Optional[int] ls_stop: Optional[List[str]] ``` by default it will only return ```python {ls_model_type="chat", ls_stop=stop} ``` 2. Add these params to inheritable metadata in `CallbackManager.configure` 3. Implement `.get_ls_params` and populate all params for Anthropic + all subclasses of BaseChatOpenAI Sample trace: https://smith.langchain.com/public/d2962673-4c83-47c7-b51e-61d07aaffb1b/r OpenAI: <img width="984" alt="Screenshot 2024-05-17 at 10 03 35 AM" src="https://github.com/langchain-ai/langchain/assets/26529506/2ef41f74-a9df-4e0e-905d-da74fa82a910"> Anthropic: <img width="978" alt="Screenshot 2024-05-17 at 10 06 07 AM" src="https://github.com/langchain-ai/langchain/assets/26529506/39701c9f-7da5-4f1a-ab14-84e9169d63e7"> Mistral (and all others for which params are not yet populated): <img width="977" alt="Screenshot 2024-05-17 at 10 08 43 AM" src="https://github.com/langchain-ai/langchain/assets/26529506/37d7d894-fec2-4300-986f-49a5f0191b03">	4 months ago
Sen Lin	eb7f07ae36	community[patch]: fix typo in ValueError message in load_local function (#21818 ) Description: Corrected an error in the `allow_dangerous_deserialization` message within the `load_local` functions	4 months ago
Jorge Piedrahita Ortiz	700b1c7212	community: sambaverse api update (#21816 ) - Description: fix sambaverse integration to make it compatible with sambaverse API update / minor changes in docs	4 months ago
maang-h	9f8d18c028	community[patch]: Fix unintended newline in print statement in exception for BaichuanTextEmbeddings (#21820 ) - Code: langchain_community/embeddings/baichuan.py:82 - Description: When I make an error using 'baichuan embeddings', the printed error message is wrapped (there is actually no need to wrap) ```python # example from langchain_community.embeddings import BaichuanTextEmbeddings # error key BAICHUAN_API_KEY = "sk-xxxxxxxxxxxxx" embeddings = BaichuanTextEmbeddings(baichuan_api_key=BAICHUAN_API_KEY) text_1 = "今天天气不错" query_result = embeddings.embed_query(text_1) ``` ![unintended newline](https://github.com/langchain-ai/langchain/assets/55082429/e1178ce8-62bb-405d-a4af-e3b28eabc158)	4 months ago
Bakar Tavadze	3b5ac44e03	langchain-robocorp[minor]: Enable passing additional headers to the action server. (#21809 ) Actions can optionally receive secrets via request headers. This PR enables this functionality.	4 months ago
Asaf Joseph Gardin	f3289b898c	partners: Revert AI21 Labs docs scan feature (#21699 ) Description: Reverted commit #21614 --------- Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Eugene Yurtsev	8607735b80	langchain[patch],community[patch]: Move unit tests that depend on community to community (#21685 )	4 months ago
Marco Lamina	d0fae6cd54	community: Add token cost for GPT-4o model (#21771 ) Adding [token cost for the new GPT-4o model](https://openai.com/api/pricing/): * Input cost US$5.00 / 1M tokens * Output cost US$15.00 / 1M tokens	4 months ago
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).	4 months ago
Bagatur	6416d16d39	anthropic[patch]: Release 0.1.13, tool_choice support (#21773 )	4 months 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>	4 months 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>	4 months ago
Ethan Yang	e44b448ec3	community: update openvino doc with streaming support (#21519 ) Co-authored-by: Chester Curme <chester.curme@gmail.com>	4 months ago
ccurme	19e6bf814b	community: fix CI (#21766 )	4 months 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/	4 months 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	4 months ago
William FH	8498b41cda	Finish agent migration doc (#21731 )	4 months 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>	4 months ago
Bagatur	867adbf27b	docs: add aca-ds (#21746 )	4 months ago
Erick Friis	06110e20b9	pinecone: bump min core version (#21742 )	4 months ago
Erick Friis	bd3e7d50f3	fireworks: bump min core version (#21741 )	4 months ago
Erick Friis	f5c31078d7	airbyte[patch]: airbyte-cdk compatible pydantic versions (#21738 )	4 months ago

... 3 4 5 6 7 ...

4648 Commits (9ac302cb97cbf9392ab8c37309873b069e277176)