langchain

Commit Graph

Author	SHA1	Message	Date
ccurme	b8db73233c	core, community: deprecate tool.__call__ (#20900 ) Does not update docs.	5 months ago
Tomaz Bratanic	520972fd0f	community[patch]: Support passing graph object to Neo4j integrations (#20876 ) For driver connection reusage, we introduce passing the graph object to neo4j integrations	5 months ago
Lei Zhang	748a6ae609	community[patch]: add HTTP response headers Content-Type to metadata of RecursiveUrlLoader document (#20875 ) Description: The RecursiveUrlLoader loader offers a link_regex parameter that can filter out URLs. However, this filtering capability is limited, and if the internal links of the website change, unexpected resources may be loaded. These resources, such as font files, can cause problems in subsequent embedding processing. > https://blog.langchain.dev/assets/fonts/source-sans-pro-v21-latin-ext_latin-regular.woff2?v=0312715cbf We can add the Content-Type in the HTTP response headers to the document metadata so developers can choose which resources to use. This allows developers to make their own choices. For example, the following may be a good choice for text knowledge. - text/plain - simple text file - text/html - HTML web page - text/xml - XML format file - text/json - JSON format data - application/pdf - PDF file - application/msword - Word document and ignore the following - text/css - CSS stylesheet - text/javascript - JavaScript script - application/octet-stream - binary data - image/jpeg - JPEG image - image/png - PNG image - image/gif - GIF image - image/svg+xml - SVG image - audio/mpeg - MPEG audio files - video/mp4 - MP4 video file - application/font-woff - WOFF font file - application/font-ttf - TTF font file - application/zip - ZIP compressed file - application/octet-stream - binary data Twitter handle: @coolbeevip --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Erick Friis	eca3640af7	upstage: release 0.1.2 (#20898 )	5 months ago
Joan Fontanals	baefbfb14e	community[mionr]: add Jina Reranker in retrievers module (#19406 ) - Description: Adapt JinaEmbeddings to run with the new Jina AI Rerank API - Twitter handle: https://twitter.com/JinaAI_ - [ ] 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/ --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Erick Friis	92969d49cb	multiple: remove external repo mds (#20896 ) api docs build doesn't tolerate them	5 months ago
Jason_Chen	53bb7dbd29	community[patch]: add BeautifulSoupTransformer remove_unwanted_classnames method (#20467 ) Add the remove_unwanted_classnames method to the BeautifulSoupTransformer class, which can filter more effectively. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
YISH	ed26149a29	openai[patch]: Allow disablling safe_len_embeddings(OpenAIEmbeddings) (#19743 ) OpenAI API compatible server may not support `safe_len_embedding`， use `disable_safe_len_embeddings=True` to disable it. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Bagatur	5b83130855	core[minor], langchain[patch], community[patch]: mv StructuredQuery (#20849 ) mv StructuredQuery to core	5 months ago
Sean	540f384197	partner: Upstage quick documentation update (#20869 ) * Updating the provider docs page. The RAG example was meant to be moved to cookbook, but was merged by mistake. * Fix bug in Groundedness Check --------- Co-authored-by: JuHyung-Son <sonju0427@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Bagatur	ffad3985a1	core[patch]: Release 0.1.46 (#20891 )	5 months ago
Mish Ushakov	6ccecf2363	community[minor]: added Browserbase loader (#20478 )	5 months ago
Erick Friis	5da9dd1195	mistral: comment batching param (#20868 ) Addresses #20523	5 months ago
Ivaylo Bratoev	7c5063ef60	infra: fix how Poetry is installed in the dev container (#20521 ) Currently, when a new dev container is created, poetry does not work in it with the error "No module named 'rapidfuzz'". Install Poetry outside the project venv so that poetry and project dependencies do not get mixed. Use pipx to install poetry securely in its own isolated environment. Issue: #12237 Twitter handle: https://twitter.com/ibratoev Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
GustavoSept	c2d09a5186	experimental[patch]: Makes regex customizable in text_splitter.py (SemanticChunker class) (#20485 ) - Description: Currently, the regex is static (`r"(?<=[.?!])\s+"`), which is only useful for certain use cases. The current change only moves this to be a parameter of split_text(). Which adds flexibility without making it more complex (as the default regex is still the same). - Issue: Not applicable (I searched, no one seems to have created this issue yet). - Dependencies: None. _If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17._ --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
William FH	a936f696a6	[Core] Feat: update config CVar in tool.invoke (#20808 )	5 months ago
Lei Zhang	2cd907ad7e	text-splitters[patch]: fix MarkdownHeaderTextSplitter fails to parse headers with non-printable characters (#20645 ) Description: MarkdownHeaderTextSplitter Fails to Parse Headers with non-printable characters. more #20643 The following is the official test case. Just replacing `# Foo\n\n` with `\ufeff# Foo\n\n` will cause the test case to fail. chunk metadata is empty ```python def test_md_header_text_splitter_1() -> None: """Test markdown splitter by header: Case 1.""" markdown_document = ( "\ufeff# Foo\n\n" " ## Bar\n\n" "Hi this is Jim\n\n" "Hi this is Joe\n\n" " ## Baz\n\n" " Hi this is Molly" ) headers_to_split_on = [ ("#", "Header 1"), ("##", "Header 2"), ] markdown_splitter = MarkdownHeaderTextSplitter( headers_to_split_on=headers_to_split_on, ) output = markdown_splitter.split_text(markdown_document) expected_output = [ Document( page_content="Hi this is Jim \nHi this is Joe", metadata={"Header 1": "Foo", "Header 2": "Bar"}, ), Document( page_content="Hi this is Molly", metadata={"Header 1": "Foo", "Header 2": "Baz"}, ), ] assert output == expected_output ``` twitter: @coolbeevip Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
ccurme	481d3855dc	patch: remove usage of llm, chat model __call__ (#20788 ) - `llm(prompt)` -> `llm.invoke(prompt)` - `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`) - `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt, config={"callbacks": callbacks})` - `llm(prompt, kwargs)` -> `llm.invoke(prompt, kwargs)`	5 months ago
Raghav Dixit	9b7fb381a4	community[patch]: LanceDB integration patch update (#20686 ) Description : - added functionalities - delete, index creation, using existing connection object etc. - updated usage - Added LaceDB cloud OSS support make lint_diff , make test checks done	5 months ago
Nikita Pokidyshev	9e983c9500	langchain[patch]: fix agent_token_buffer_memory not working with openai tools (#20708 ) - Description: fix a bug in the agent_token_buffer_memory - Issue: agent_token_buffer_memory was not working with openai tools - Dependencies: None - Twitter handle: @pokidyshef	5 months ago
Erick Friis	1aef8116de	upstage: release 0.1.1 (#20864 )	5 months ago
junkeon	c8fd51e8c8	upstage: Add Upstage partner package LA and GC (#20651 ) --------- Co-authored-by: Sean <chosh0615@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Sean Cho <sean@upstage.ai>	5 months ago
Alex Lee	243ba71b28	langchain[patch]: add `aprep_output` method to `langchain/chains/base.py` (#20748 ) ## Description Add `aprep_output` method to `langchain/chains/base.py`. Some downstream `ChatMessageHistory` objects that use async connections require an async way to append to the context. It turned out that `ainvoke()` was calling `prep_output` which is synchronous. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Harrison Chase	43c041cda5	support messages in messages out (#20862 )	5 months ago
back2nix	a1614b88ac	groq[patch]: groq proxy support (#20758 ) # Proxy Fix for Groq Class 🐛 🚀 ## Description This PR fixes a bug related to proxy settings in the `Groq` class, allowing users to connect to LangChain services via a proxy. ## Changes Made - ✅ FIX support for specifying proxy settings in the `Groq` class. - ✅ Resolved the bug causing issues with proxy settings. - ❌ Did not include unit tests and documentation updates. - ❌ Did not run make format, make lint, and make test to ensure code quality and functionality because I couldn't get it to run, so I don't program in Python and couldn't run `ruff`. - ❔ Ensured that the changes are backwards compatible. - ✅ No additional dependencies were added to `pyproject.toml`. ### Error Before Fix ```python Traceback (most recent call last): File "/home/bg/Documents/code/github.com/back2nix/test/groq/main.py", line 9, in <module> chat = ChatGroq( ^^^^^^^^^ File "/home/bg/Documents/code/github.com/back2nix/test/groq/venv310/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 120, in __init__ super().__init__(**kwargs) File "/home/bg/Documents/code/github.com/back2nix/test/groq/venv310/lib/python3.11/site-packages/pydantic/v1/main.py", line 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for ChatGroq __root__ Invalid `http_client` argument; Expected an instance of `httpx.AsyncClient` but got <class 'httpx.Client'> (type=type_error) ``` ### Example usage after fix ```python3 import os import httpx from langchain_core.prompts import ChatPromptTemplate from langchain_groq import ChatGroq chat = ChatGroq( temperature=0, groq_api_key=os.environ.get("GROQ_API_KEY"), model_name="mixtral-8x7b-32768", http_client=httpx.Client( proxies="socks5://127.0.0.1:1080", transport=httpx.HTTPTransport(local_address="0.0.0.0"), ), http_async_client=httpx.AsyncClient( proxies="socks5://127.0.0.1:1080", transport=httpx.HTTPTransport(local_address="0.0.0.0"), ), ) system = "You are a helpful assistant." human = "{text}" prompt = ChatPromptTemplate.from_messages([("system", system), ("human", human)]) chain = prompt \| chat out = chain.invoke({"text": "Explain the importance of low latency LLMs"}) print(out) ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
volodymyr-memsql	493afe4d8d	community[patch]: add hybrid search to singlestoredb vectorstore (#20793 ) Implemented the ability to enable full-text search within the SingleStore vector store, offering users a versatile range of search strategies. This enhancement allows users to seamlessly combine full-text search with vector search, enabling the following search strategies: * Search solely by vector similarity. * Conduct searches exclusively based on text similarity, utilizing Lucene internally. * Filter search results by text similarity score, with the option to specify a threshold, followed by a search based on vector similarity. * Filter results by vector similarity score before conducting a search based on text similarity. * Perform searches using a weighted sum of vector and text similarity scores. Additionally, integration tests have been added to comprehensively cover all scenarios. Updated notebook with examples. CC: @baskaryan, @hwchase17 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Tomaz Bratanic	9efab3ed66	community[patch]: Add driver config param for neo4j graph (#20772 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Leonid Ganeline	13751c3297	community: `tigergraph` fixes (#20034 ) - added guard on the `pyTigerGraph` import - added a missed example page in the `docs/integrations/graphs/` - formatted the `docs/integrations/providers/` page to the consistent format. Added links.	5 months ago
Martin Kolb	0186e4e633	community[patch]: Advanced filtering for HANA Cloud Vector Engine (#20821 ) - Description: This PR adds support for advanced filtering to the integration of HANA Vector Engine. The newly supported filtering operators are: $eq, $ne, $gt, $gte, $lt, $lte, $between, $in, $nin, $like, $and, $or - Issue: N/A - Dependencies: no new dependencies added Added integration tests to: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Description of the new capabilities in notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb`	5 months ago
Alex Sherstinsky	12e5ec6de3	community: Support both Predibase SDK-v1 and SDK-v2 in Predibase-LangChain integration (#20859 )	5 months ago
Erick Friis	8c95ac3145	docs, multiple: de-beta with_structured_output (#20850 )	5 months ago
Nuno Campos	477eb1745c	Better support for subgraphs in graph viz (#20840 )	5 months ago
JeffKatzy	5ab3f9a995	community[patch]: standardize chat init args (#20844 ) Thank you for contributing to LangChain! community:perplexity[patch]: standardize init args updated pplx_api_key and request_timeout so that aliased to api_key, and timeout respectively. Added test that both continue to set the same underlying attributes. Related to [20085](https://github.com/langchain-ai/langchain/issues/20085) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Massimiliano Pronesti	8d1167b32f	community[patch]: add support for similarity_score_threshold search in… (#20852 ) See https://github.com/langchain-ai/langchain/issues/20600#issuecomment-2075569338 for details. @chrislrobert	5 months ago
Eugene Yurtsev	d8aa72f51d	core[minor],langchain[patch]: Move base indexing interface and logic to core (#20667 ) This PR moves the interface and the logic to core. The following changes to namespaces: `indexes` -> `indexing` `indexes._api` -> `indexing.api` Testing code is intentionally duplicated for now since it's testing different implementations of the record manager (in-memory vs. SQL). Common logic will need to be pulled out into the test client. A follow up PR will move the SQL based implementation outside of LangChain.	5 months ago
ccurme	3bcfbcc871	groq: handle null queue_time (#20839 )	5 months ago
Eugene Yurtsev	30e48c9878	core[patch],community[patch]: Move file chat history back to community (#20834 ) Marking as patch since we haven't had releases in between. This just reverting part of a PR from yesterday.	5 months ago
ccurme	6debadaa70	groq: bump core (#20838 )	5 months ago
Erick Friis	7984206c95	groq: release 0.1.3 (#20836 ) Fixes #20811	5 months ago
Nestor Qin	9111d3a636	community[patch]: Fix message formatting for Anthropic models on Amazon Bedrock (#20801 ) Description: This PR fixes an issue in message formatting function for Anthropic models on Amazon Bedrock. Currently, LangChain BedrockChat model will crash if it uses Anthropic models and the model return a message in the following type: - `AIMessageChunk` Moreover, when use BedrockChat with for building Agent, the following message types will trigger the same issue too: - `HumanMessageChunk` - `FunctionMessage` Issue: https://github.com/langchain-ai/langchain/issues/18831 Dependencies: No. Testing: Manually tested. The following code was failing before the patch and works after. ``` @tool def square_root(x: str): "Useful when you need to calculate the square root of a number" return math.sqrt(int(x)) llm = ChatBedrock( model_id="anthropic.claude-3-sonnet-20240229-v1:0", model_kwargs={ "temperature": 0.0 }, ) prompt = ChatPromptTemplate.from_messages( [ ("system", FUNCTION_CALL_PROMPT), ("human", "Question: {user_input}"), MessagesPlaceholder(variable_name="agent_scratchpad"), ] ) tools = [square_root] tools_string = format_tool_to_anthropic_function(square_root) agent = ( RunnablePassthrough.assign( user_input=lambda x: x['user_input'], agent_scratchpad=lambda x: format_to_openai_function_messages( x["intermediate_steps"] ) ) \| prompt \| llm \| AnthropicFunctionsAgentOutputParser() ) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True, return_intermediate_steps=True) output = agent_executor.invoke({ "user_input": "What is the square root of 2?", "tools_string": tools_string, }) ``` List of messages returned from Bedrock: ``` <SystemMessage> content='You are a helpful assistant.' <HumanMessage> content='Question: What is the square root of 2?' <AIMessageChunk> content="Okay, let's calculate the square root of 2.<scratchpad>\nTo calculate the square root of a number, I can use the square_root tool:\n\n<function_calls>\n <invoke>\n <tool_name>square_root</tool_name>\n <parameters>\n <__arg1>2</__arg1>\n </parameters>\n </invoke>\n</function_calls>\n</scratchpad>\n\n<function_results>\n<search_result>\nThe square root of 2 is approximately 1.414213562373095\n</search_result>\n</function_results>\n\n<answer>\nThe square root of 2 is approximately 1.414213562373095\n</answer>" id='run-92363df7-eff6-4849-bbba-fa16a1b2988c'" <FunctionMessage> content='1.4142135623730951' name='square_root' ```	5 months ago
ccurme	06b04b80b8	groq: fix warning filter for integration test (#20806 )	5 months ago
ccurme	5a3c65a756	standard tests: add xfails (#20659 )	5 months ago
Erick Friis	ddc2274aea	standard-tests: split tool calling test (#20803 ) just making it a bit easier to grok	5 months ago
ccurme	6622829c67	mistral: catch GatedRepoError, release 0.1.3 (#20802 ) https://github.com/langchain-ai/langchain/issues/20618 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Eugene Yurtsev	a7c347ab35	langchain[patch]: Update evaluation logic that instantiates a default LLM (#20760 ) Favor langchain_openai over langchain_community for evaluation logic. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	5 months ago
Eugene Yurtsev	72f720fa38	langchain[major]: Remove default instantations of LLMs from VectorstoreToolkit (#20794 ) Remove default instantiation from vectorstore toolkit.	5 months ago
ccurme	42de5168b1	langchain: deprecate LLMChain, RetrievalQA, and ConversationalRetrievalChain (#20751 )	5 months ago
Erick Friis	30c7951505	core: use qualname in beta message (#20361 )	5 months ago
Aliaksandr Kuzmik	5560cc448c	community[patch]: fix CometTracer bug (#20796 ) Hi! My name is Alex, I'm an SDK engineer from [Comet](https://www.comet.com/site/) This PR updates the `CometTracer` class. Fixed an issue when `CometTracer` failed while logging the data to Comet because this data is not JSON-encodable. The problem was in some of the `Run` attributes that could contain non-default types inside, now these attributes are taken not from the run instance, but from the `run.dict()` return value.	5 months ago
Eugene Yurtsev	1c89e45c14	langchain[major]: breaks some chains to remove hidden defaults (#20759 ) Breaks some chains in langchain to remove hidden chat model / llm instantiation.	5 months ago
Eugene Yurtsev	ad6b5f84e5	community[patch],core[minor]: Move in memory cache implementation to core (#20753 ) This PR moves the InMemoryCache implementation from community to core.	5 months ago
Eugene Yurtsev	a2cc9b55ba	core[patch]: Remove autoupgrade to addable dict in Runnable/RunnableLambda/RunnablePassthrough transform (#20677 ) Causes an issue for this code ```python from langchain.chat_models.openai import ChatOpenAI from langchain.output_parsers.openai_tools import JsonOutputToolsParser from langchain.schema import SystemMessage prompt = SystemMessage(content="You are a nice assistant.") + "{question}" llm = ChatOpenAI( model_kwargs={ "tools": [ { "type": "function", "function": { "name": "web_search", "description": "Searches the web for the answer to the question.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The question to search for.", }, }, }, }, } ], }, streaming=True, ) parser = JsonOutputToolsParser(first_tool_only=True) llm_chain = prompt \| llm \| parser \| (lambda x: x) for chunk in llm_chain.stream({"question": "tell me more about turtles"}): print(chunk) # message = llm_chain.invoke({"question": "tell me more about turtles"}) # print(message) ``` Instead by definition, we'll assume that RunnableLambdas consume the entire stream and that if the stream isn't addable then it's the last message of the stream that's in the usable format. --- If users want to use addable dicts, they can wrap the dict in an AddableDict class. --- Likely, need to follow up with the same change for other places in the code that do the upgrade	5 months ago
Oleksandr Yaremchuk	9428923bab	experimental[minor]: upgrade the prompt injection model (#20783 ) - Description: In January, Laiyer.ai became part of ProtectAI, which means the model became owned by ProtectAI. In addition to that, yesterday, we released a new version of the model addressing issues the Langchain's community and others mentioned to us about false-positives. The new model has a better accuracy compared to the previous version, and we thought the Langchain community would benefit from using the [latest version of the model](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2). - Issue: N/A - Dependencies: N/A - Twitter handle: @alex_yaremchuk	5 months ago
Eugene Yurtsev	645b1e142e	core[minor],langchain[patch],community[patch]: Move InMemory and File implementations of Chat History to core (#20752 ) This PR moves the implementations for chat history to core. So it's easier to determine which dependencies need to be broken / add deprecation warnings	5 months ago
ccurme	7a922f3e48	core, openai: support custom token encoders (#20762 )	5 months ago
Christophe Bornet	0ae5027d98	community[patch]: Remove usage of deprecated StoredBlobHistory in CassandraChatMessageHistory (#20666 )	5 months ago
Bagatur	eb18f4e155	infra: rm sep repo partner dirs (#20756 ) so you can `poetry run pip install -e libs/partners/*/` to your hearts content	5 months ago
Eugene Yurtsev	936c6cc74a	langchain[patch]: Add missing deprecation for openai adapters (#20668 ) Add missing deprecation for openai adapters	5 months ago
Eugene Yurtsev	38adbfdf34	community[patch],core[minor]: Move BaseToolKit to core.tools (#20669 )	5 months ago
Mark Needham	ce23f8293a	Community patch clickhouse make it possible to not specify index (#20460 ) Vector indexes in ClickHouse are experimental at the moment and can sometimes break/change behaviour. So this PR makes it possible to say that you don't want to specify an index type. Any queries against the embedding column will be brute force/linear scan, but that gives reasonable performance for small-medium dataset sizes. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
ccurme	c010ec8b71	patch: deprecate (a)get_relevant_documents (#20477 ) - `.get_relevant_documents(query)` -> `.invoke(query)` - `.get_relevant_documents(query=query)` -> `.invoke(query)` - `.get_relevant_documents(query, callbacks=callbacks)` -> `.invoke(query, config={"callbacks": callbacks})` - `.get_relevant_documents(query, kwargs)` -> `.invoke(query, kwargs)` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Matheus Henrique Raymundo	bb69819267	community: Fix the stop sequence key name for Mistral in Bedrock (#20709 ) Fixing the wrong stop sequence key name that causes an error on AWS Bedrock. You can check the MistralAI bedrock parameters [here](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-mistral.html) This change fixes this [issue](https://github.com/langchain-ai/langchain/issues/20095)	5 months ago
Bagatur	1c7b3c75a7	community[patch], experimental[patch]: support tool-calling sql and p… (#20639 ) d agents	5 months ago
Bagatur	d0cee65cdc	langchain[patch]: langchain-pinecone self query support (#20702 )	5 months ago
shumway743	cb6e5e56c2	community[minor]: add graph store implementation for apache age (#20582 ) Description: implemented GraphStore class for Apache Age graph db Dependencies: depends on psycopg2 Unit and integration tests included. Formatting and linting have been run. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Christophe Bornet	c909ae0152	community[minor]: Add async methods to CassandraVectorStore (#20602 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Leonid Ganeline	06d18c106d	langchain[patch]: `example_selector` import fix (#20676 ) Cleaned up updated imports	5 months ago
Leonid Ganeline	d6470aab60	langchain: `dosctore` import fix (#20678 ) Cleaned up imports	5 months ago
Dmitry Tyumentsev	f111efeb6e	community[patch]: YandexGPT API add ability to disable request logging (#20670 ) Closes (#20622) Added the ability to [disable logging of requests to YandexGPT](https://yandex.cloud/en/docs/foundation-models/operations/yandexgpt/disable-logging).	5 months ago
Mateusz Szewczyk	75ffe51bbe	ibm: Add support for Embedding Models (#20647 ) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	73809817ff	community: release 0.0.34 (#20672 )	5 months ago
Tomaz Bratanic	8c08cf4619	community: Add support for relationship indexes in neo4j vector (#20657 ) Neo4j has added relationship vector indexes. We can't populate them, but we can use existing indexes for retrieval	5 months ago
Erick Friis	940242c1ec	core: release 0.1.45 (#20664 )	5 months ago
Souls-R	36084e7500	docs: fix variable name typo in example code (#20658 ) This pull request corrects a mistake in the variable name within the example code. The variable doc_schema has been changed to dog_schema to fix the error.	5 months ago
Sivaudha	baedc3ec0a	langchain[minor]: Databricks vector search self query integration (#20627 ) - Enable self querying feature for databricks vector search --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
ccurme	6d530481c1	openai: fix allowed block types (#20636 )	5 months ago
Erick Friis	5c216ad08f	upstage[patch]: un-xfail tool calling test, release 0.1.0 (#20635 )	5 months ago
Nuno Campos	48307e46a3	core[patch]: Fix runnable map ser/de (#20631 )	5 months ago
Charlie Holtz	1cbab0ebda	community: update Replicate to work with official models (#20633 ) Description: you don't need to pass a version for Replicate official models. That was broken on LangChain until now! You can now run: ``` llm = Replicate( model="meta/meta-llama-3-8b-instruct", model_kwargs={"temperature": 0.75, "max_length": 500, "top_p": 1}, ) prompt = """ User: Answer the following yes/no question by reasoning step by step. Can a dog drive a car? Assistant: """ llm(prompt) ``` I've updated the replicate.ipynb to reflect that. twitter: @charliebholtz --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Congyu	dd5139e304	community[patch]: truncate zhipuai `temperature` and `top_p` parameters to [0.01, 0.99] (#20261 ) ZhipuAI API only accepts `temperature` parameter between `(0, 1)` open interval, and if `0` is passed, it responds with status code `400`. However, 0 and 1 is often accepted by other APIs, for example, OpenAI allows `[0, 2]` for temperature closed range. This PR truncates temperature parameter passed to `[0.01, 0.99]` to improve the compatibility between langchain's ecosystem's and ZhipuAI (e.g., ragas `evaluate` often generates temperature 0, which results in a lot of 400 invalid responses). The PR also truncates `top_p` parameter since it has the same restriction. Reference: [glm-4 doc](https://open.bigmodel.cn/dev/api#glm-4) (which unfortunately is in Chinese though). --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Lance Martin	d5c22b80a5	community[patch]: Fix Ollama for LLaMA3 (#20624 ) We see verbose generations w/ LLaMA3 and Ollama - https://smith.langchain.com/public/88c4cd21-3d57-4229-96fe-53443398ca99/r --- Fix here implies that when stop was being set to an empty list, the stream had no conditions under which to stop, which could lead to excessive or unintended output. Test LLaMA2 - https://smith.langchain.com/public/57dfc64a-591b-46fa-a1cd-8783acaefea2/r Test LLaMA3 - https://smith.langchain.com/public/76ff5f47-ac89-4772-a7d2-5caa907d3fd6/r https://smith.langchain.com/public/a31d2fad-9094-4c93-949a-964b27630ccb/r Test Mistral - https://smith.langchain.com/public/a4fe7114-c308-4317-b9fd-6c86d31f1c5b/r --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	3425988de7	core: deprecation default to qualname (#20578 )	5 months ago
hulitaitai	7d0a008744	community[minor]: Add audio-parser "faster-whisper" in audio.py (#20012 ) faster-whisper is a reimplementation of OpenAI's Whisper model using CTranslate2, which is up to 4 times faster than enai/whisper for the same accuracy while using less memory. The efficiency can be further improved with 8-bit quantization on both CPU and GPU. It can automatically detect the following 14 languages and transcribe the text into their respective languages: en, zh, fr, de, ja, ko, ru, es, th, it, pt, vi, ar, tr. The gitbub repository for faster-whisper is : https://github.com/SYSTRAN/faster-whisper --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Guangdong Liu	e3c2431c5b	comminuty[patch]:Fix Error in apache doris insert (#19989 ) - Issue: #19886	5 months ago
Tomaz Bratanic	27370b679e	community[patch]: Ignore null and invalid embedding values for neo4j metadata filtering (#20558 )	5 months ago
Eugene Yurtsev	718c9cbe3a	mistral[patch]: Support both model and model_name (#20557 )	5 months ago
Leonid Ganeline	95dc90609e	experimental[patch]: `prompts` import fix (#20534 ) Replaced `from langchain.prompts` with `from langchain_core.prompts` where it is appropriate. Most of the changes go to `langchain_experimental` Similar to #20348	5 months ago
Massimiliano Pronesti	2542a09abc	community[patch]: AzureSearch incorrectly converted to retriever (#20601 ) Closes #20600. Please see the issue for more details.	5 months ago
Christophe Bornet	8f0b5687a3	community[minor]: Add hybrid search to Cassandra VectorStore (#20286 ) Only supported by Astra DB at the moment. Twitter handle: cbornet_	5 months ago
Christophe Bornet	d2d01370bc	community[minor]: Add async methods to CassandraLoader (#20609 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	8c29b7bf35	mistralai[patch]: Use public attribute for eventsource.response (#20580 ) Minor change, use the public attribute instead of the protected one.	5 months ago
Erick Friis	66fb0b1f35	core: fix fireworks mapping (#20613 )	5 months ago
balloonio	e786da7774	community[patch]: Invoke callback prior to yielding token fix [HuggingFaceTextGenInference] (#20426 ) …gFaceTextGenInference) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for [HuggingFaceTextGenInference] - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in [HuggingFaceTextGenInference] - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Ethan Yang	2d6d796040	community: Add save_model function for openvino reranker and embedding (#19896 )	5 months ago
zR	9c1d7f2405	update zhipuai notebook (#20595 ) fix timeout issue fix zhipuai usecase notebookbook Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
ccurme	c897264b9b	community: (milvus) check for num_shards (#20603 ) @rgupta2508 I believe this change is necessary following https://github.com/langchain-ai/langchain/pull/20318 because of how Milvus handles defaults: `59bf5e811a/pymilvus/client/prepare.py (L82-L85)` ```python num_shards = kwargs[next(iter(same_key))] if not isinstance(num_shards, int): msg = f"invalid num_shards type, got {type(num_shards)}, expected int" raise ParamError(message=msg) req.shards_num = num_shards ``` this way lets Milvus control the default value (instead of maintaining a separate default in Langchain). Let me know if I've got this wrong or you feel it's unnecessary. Thanks.	5 months ago
Rohit Gupta	25c4c24e89	Support to create shards_num in milvus vectorstores (#20318 ) To support number of the shards for the collection to create in milvus vvectorstores. Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
aditya thomas	cea379e7c7	community, core[callbacks]: move FileCallbackHandler from community to core (#20495 ) Description: Move `FileCallbackHandler` from community to core Issue: #20493 Dependencies: None (imo) `FileCallbackHandler` is a built-in LangChain callback handler like `StdOutCallbackHandler` and should properly be in in core.	5 months ago
Erick Friis	e7e94b37f1	upstage: fix core dep (#20576 )	5 months ago
Erick Friis	e395115807	docs: aws docs updates (#20571 )	5 months ago
Erick Friis	f09bd0b75b	upstage: init package (#20574 ) Co-authored-by: Sean Cho <sean@upstage.ai> Co-authored-by: JuHyung-Son <sonju0427@gmail.com>	5 months ago
Marco Perini	11c9ed3362	community[patch]: exposing headless flag parameter to AsyncChromiumLoader class (#20424 ) - Description: added the headless parameter as optional argument to the langchain_community.document_loaders AsyncChromiumLoader class - Dependencies: None - Twitter handle: @perinim_98 If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Bagatur	54e9271504	anthropic[patch]: fix msg mutation (#20572 )	5 months ago
Nuno Campos	719da8746e	core: fix attributeerror in runnablelambda.deps (#20569 ) - would happen when user's code tries to access attritbute that doesnt exist, we prefer to let this crash in the user's code, rather than here - also catch more cases where a runnable is invoked/streamed inside a lambda. before we weren't seeing these as deps	5 months ago
Christophe Bornet	a22da4315b	community[patch]: Replace function in CassandraVectorStore with simpler lambda (#20323 )	5 months ago
Christophe Bornet	75733c5cc1	community[minor]: Improve CassandraVectorStore from_texts (#20284 )	5 months ago
Tomer Cagan	463160c3f6	community: fix `DirectoryLoader` progress bar (#19821 ) Description: currently, the `DirectoryLoader` progress-bar maximum value is based on an incorrect number of files to process In langchain_community/document_loaders/directory.py:127: ```python paths = p.rglob(self.glob) if self.recursive else p.glob(self.glob) items = [ path for path in paths if not (self.exclude and any(path.match(glob) for glob in self.exclude)) ] ``` `paths` returns both files and directories. `items` is later used to determine the maximum value of the progress-bar which gives an incorrect progress indication.	5 months ago
Bagatur	984e7e36c2	anthropic[patch]: Release 0.1.10 (#20568 )	5 months ago
Pengcheng Liu	ecd19a9e58	community[patch]: Add function call support in Tongyi chat model. (#20119 ) - [ ] PR message: - Description: This pr adds function calling support in Tongyi chat model. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
kaijietti	80679ab906	zep[patch]: implement add_messages and aadd_messages (#20099 ) This PR implement `add_messages` and `aadd_messages` to avoid unnecessary round-trips.	5 months ago
ccurme	2238490069	mistral, openai: allow anthropic-style messages in message histories (#20565 )	5 months ago
Eugene Yurtsev	7a7851aa06	anthropic[patch]: Handle empty text block (#20566 ) Handle empty text block	5 months ago
Bagatur	7917e2c418	core[patch]: Release 0.1.44 (#20564 )	5 months ago
ccurme	4a17951900	mistral: read tool calls from AIMessage (#20554 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	f257909699	mistralai[patch]: Surface http errors (#20555 ) Do not swallow errors when streaming with httpx. Update affected code if this PR gets merged to httpx: https://github.com/florimondmanca/httpx-sse/pull/25/files	5 months ago
Sevin F. Varoglu	3f156e0ece	community[minor]: add ChatOctoAI (#20059 ) This PR adds ChatOctoAI, a chat model integration for OctoAI.	5 months ago
Eun Hye Kim	b34f1086fe	community[patch]: Add streaming logic in ChatHuggingFace (#18784 ) - Add functions (_stream, _astream) - Connect to _generate and _agenerate Thank you for contributing to LangChain! - [x] PR title: "community: Add streaming logic in ChatHuggingFace" - [x] PR message: *Delete this entire checklist* and replace with - Description: Addition functions (_stream, _astream) and connection to _generate and _agenerate - Issue: #18782 - Dependencies: none - Twitter handle: @lunara_x	5 months ago
pjb157	479be3cc91	community[minor]: Unify Titan Takeoff Integrations and Adding Embedding Support (#18775 ) Community: Unify Titan Takeoff Integrations and Adding Embedding Support Description: Titan Takeoff no longer reflects this either of the integrations in the community folder. The two integrations (TitanTakeoffPro and TitanTakeoff) where causing confusion with clients, so have moved code into one place and created an alias for backwards compatibility. Added Takeoff Client python package to do the bulk of the work with the requests, this is because this package is actively updated with new versions of Takeoff. So this integration will be far more robust and will not degrade as badly over time. Issue: Fixes bugs in the old Titan integrations and unified the code with added unit test converge to avoid future problems. Dependencies: Added optional dependency takeoff-client, all imports still work without dependency including the Titan Takeoff classes but just will fail on initialisation if not pip installed takeoff-client Twitter @MeryemArik9 Thanks all :) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Rahul Triptahi	2cbfc94bcb	community[patch]: Add support for authorized identities in PebbloSafeLoader. (#20055 ) Description: Add support for authorized identities in PebbloSafeLoader. Now with this change, PebbloSafeLoader will extract authorized_identities from metadata and send it to pebblo server Dependencies: None Documentation: None Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	5 months ago
Guangdong Liu	b78ede2f96	community[patch]: standardize init args (#20166 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Guangdong Liu	3729bec1a2	community[patch]: standardize init args (#20210 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
sdan	a7c5e41443	community[minor]: Added VLite as VectorStore (#20245 ) Support [VLite](https://github.com/sdan/vlite) as a new VectorStore type. Description: vlite is a simple and blazing fast vector database(vdb) made with numpy. It abstracts a lot of the functionality around using a vdb in the retrieval augmented generation(RAG) pipeline such as embeddings generation, chunking, and file processing while still giving developers the functionality to change how they're made/stored. Before submitting: Added tests [here](`c09c2ebd5c/libs/community/tests/integration_tests/vectorstores/test_vlite.py`) Added ipython notebook [here](`c09c2ebd5c/docs/docs/integrations/vectorstores/vlite.ipynb`) Added simple docs on how to use [here](`c09c2ebd5c/docs/docs/integrations/providers/vlite.mdx`) Profiles Maintainers: @sdan Twitter handles: [@sdand](https://x.com/sdand) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Hyeongchan Kim	7824291252	community[patch]: Fix not to cast to str type when `file_path` is None (#20057 ) From `langchain_community 0.0.30`, there's a bug that cannot send a file-like object via `file` parameter instead of `file path` due to casting the `file_path` to str type even if `file_path` is None. which means that when I call the `partition_via_api()`, exactly one of `filename` and `file` must be specified by the following error message. however, from `langchain_community 0.0.30`, `file_path` is casted into `str` type even `file_path` is None in `get_elements_from_api()` and got an error at `exactly_one(filename=filename, file=file)`. here's an error message ``` ---> 51 exactly_one(filename=filename, file=file) 53 if metadata_filename and file_filename: 54 raise ValueError( 55 "Only one of metadata_filename and file_filename is specified. " 56 "metadata_filename is preferred. file_filename is marked for deprecation.", 57 ) File /opt/homebrew/lib/python3.11/site-packages/unstructured/partition/common.py:441, in exactly_one(**kwargs) 439 else: 440 message = f"{names[0]} must be specified." --> 441 raise ValueError(message) ValueError: Exactly one of filename and file must be specified. ``` So, I simply made a change that casting to str type when `file_path` is not None. I use `UnstructuredAPIFileLoader` like below. ``` from langchain_community.document_loaders.unstructured import UnstructuredAPIFileLoader documents: list = UnstructuredAPIFileLoader( file_path=None, file=file, # file-like object, io.BytesIO type mode='elements', url='http://127.0.0.1:8000/general/v0/general', content_type='application/pdf', metadata_filename='asdf.pdf', ).load_and_split() ```	5 months ago
Prashanth Rao	295b9b704b	community[patch]: Improve Kuzu Cypher generation prompt (#20481 ) - [x] PR title: "community: improve kuzu cypher generation prompt" - [x] PR message: *Delete this entire checklist* and replace with - Description: Improves the Kùzu Cypher generation prompt to be more robust to open source LLM outputs - Issue: N/A - Dependencies: N/A - Twitter handle: @kuzudb - [x] Add tests and docs: If you're adding a new integration, please include No new tests (non-breaking. change) - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	5 months ago
MacanPN	bce69ae43d	community[patch]: Changes to base_o365 and sharepoint document loaders (#20373 ) ## Description: The PR introduces 3 changes: 1. added `recursive` property to `O365BaseLoader`. (To keep the behavior unchanged, by default is set to `False`). When `recursive=True`, `_load_from_folder()` also recursively loads all nested folders. 2. added `folder_id` to SharePointLoader.(similar to (this PR)[https://github.com/langchain-ai/langchain/pull/10780] ) This provides an alternative to `folder_path` that doesn't seem to reliably work. 3. when none of `document_ids`, `folder_id`, `folder_path` is provided, the loader fetches documets from root folder. Combined with `recursive=True` this provides an easy way of loading all compatible documents from SharePoint. The PR contains the same logic as [this stale PR](https://github.com/langchain-ai/langchain/pull/10780) by @WaleedAlfaris. I'd like to ask his blessing for moving forward with this one. ## Issue: - As described in https://github.com/langchain-ai/langchain/issues/19938 and https://github.com/langchain-ai/langchain/pull/10780 the sharepoint loader often does not seem to work with folder_path. - Recursive loading of subfolders is a missing functionality ## Dependecies: None Twitter handle: @martintriska1 @WRhetoric This is my first PR here, please be gentle :-) Please review @baskaryan --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Sevin F. Varoglu	54d388d898	community[patch]: update OctoAI endpoint to subclass BaseOpenAI (#19757 ) This PR updates OctoAIEndpoint LLM to subclass BaseOpenAI as OctoAI is an OpenAI-compatible service. The documentation and tests have also been updated.	5 months ago
Benito Geordie	57b226532d	community[minor]: Added integrations for ThirdAI's NeuralDB as a Retriever (#17334 ) Description: Adds ThirdAI NeuralDB retriever integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval engine. We previously added a vector store integration but we think that it will be easier for our customers if they can also find us under under langchain-community/retrievers. --------- Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com> Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>	5 months ago
WeichenXu	e9fc87aab1	community[patch]: Make ChatDatabricks model supports streaming response (#19912 ) Description: Make ChatDatabricks model supports stream Issue: N/A Dependencies: MLflow nightly build version (we will release next MLflow version soon) Twitter handle: N/A Manually test: (Before testing, please install `pip install git+https://github.com/mlflow/mlflow.git`) ```python # Test Databricks Foundation LLM model from langchain.chat_models import ChatDatabricks chat_model = ChatDatabricks( endpoint="databricks-llama-2-70b-chat", max_tokens=500 ) from langchain_core.messages import AIMessageChunk for chunk in chat_model.stream("What is mlflow?"): print(chunk.content, end="\|") ``` - [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. --------- Signed-off-by: Weichen Xu <weichen.xu@databricks.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
ccurme	a892f985d3	standardized-tests[patch]: test tool call messages (#20519 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Erick Friis	e7fe5f7d3f	anthropic[patch]: serialization in partner package (#18828 )	5 months ago
Bagatur	f74d5d642e	anthropic[patch]: bump to core 0.1.43 (#20537 )	5 months ago
Bagatur	96d8769eae	anthropic[patch]: release 0.1.9, use tool calls if content is empty (#20535 )	5 months ago
Erick Friis	6adca37eb7	core: default chat/llm _identifying_params to lc_attributes (#20232 )	5 months ago
ccurme	22da9f5f3f	update scheduled tests (#20526 ) repurpose scheduled tests to test over provider packages	5 months ago
Nuno Campos	806a54908c	Runnable graph viz improvements (#20529 ) - Add conditional: bool property to json representation of the graphs - Add option to generate mermaid graph stripped of styles (useful as a text representation of graph)	5 months ago
Nuno Campos	f3aa26d6bf	Fix getattr in runnable binding for cases where config is passed in as arg too (#20528 ) …s arg too Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Dhruv Chawla	d6d559d50d	community[minor]: add UpTrainCallbackHandler (#19956 ) - Description: This PR adds a callback handler for UpTrain. It performs evaluations in the RAG pipeline to check the quality of retrieved documents, generated queries and responses. - Dependencies: - The UpTrainCallbackHandler requires the uptrain package --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	5 months ago
Leonid Ganeline	45d045b2c5	core[minor], langchain[patch]: `tools` dependencies refactoring (#18759 ) The `langchain.tools` [namespace](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.tools) can be completely eliminated by moving one class and 3 functions into `core`. It makes sense since the class and functions are very core.	5 months ago
Erick Friis	77eba10f47	standard-tests: fix default fixtures (#20520 )	5 months ago
Ravindu Somawansa	5acc7ba622	community[minor]: Add glue catalog loader (#20220 ) Add Glue Catalog loader	5 months ago
Dawson Bauer	aab075345e	core[patch]: Fix imports defined in messages sub-package (#20500 ) core[patch]: Fix imports defined in messages sub-package (#20500)	5 months ago
Fayfox	9fd36efdb5	anthropic[patch]: env ANTHROPIC_API_URL not work (#20507 ) enviroment variable ANTHROPIC_API_URL will not work if anthropic_api_url has default value --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	5 months ago
Martín Gotelli Ferenaz	b48add4353	community[patch]: Fix pgvector deprecated filter clause usage with OR and AND conditions (#20446 ) Description: Support filter by OR and AND for deprecated PGVector version Issue: #20445 Dependencies: N/A Twitter handle: @martinferenaz	5 months ago
Eugene Yurtsev	c50099161b	community[patch]: Use uuid4 not uuid1 (#20487 ) Using UUID1 is incorrect since it's time dependent, which makes it easy to generate the exact same uuid	5 months ago
Bagatur	f7667c614b	docs: update tool use case (#20404 )	5 months ago
Erick Friis	86cf1d3ee1	community: release 0.0.33 (#20490 )	5 months ago
Erick Friis	90184255f8	core: release 0.1.43 (#20489 )	5 months ago
Erick Friis	7997f3b7f8	core: forward config params to default (#20402 ) nuno's fault not mine --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Nuno Campos <nuno@langchain.dev>	5 months ago
Nuno Campos	97b2191e99	core: Add concept of conditional edge to graph rendering (#20480 ) - implement for mermaid, graphviz and ascii - this is to be used in langgraph	5 months ago
Ángel Igareta	60c7a17781	Remove logic to exclude intermediate nodes from rendering time (#20459 ) Description: For simplicity, migrate the logic of excluding intermediate nodes in the .get_graph() of langgraph package (https://github.com/langchain-ai/langgraph/pull/310) at graph creation time instead of graph rendering time. Note: #20381 needs to be approved first --------- Co-authored-by: Angel Igareta <angel.igareta@klarna.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Nuno Campos <nuno@boringbits.io>	5 months ago
Ángel Igareta	d55a365c6c	Fix CDN URL in mermaid graph renderer (#20381 ) Description of features on mermaid graph renderer: - Fixing CDN to use official Mermaid JS CDN: https://www.jsdelivr.com/package/npm/mermaid?tab=files - Add device_scale_factor to allow increasing quality of resulting PNG.	5 months ago
Leonid Kuligin	676c68d318	community[patch]: deprecating remaining google_community integrations (#20471 ) Deprecating remaining google community integrations	5 months ago
balloonio	b66a4f48fa	community[patch]: Invoke callback prior to yielding token fix [DeepInfra] (#20427 ) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for [DeepInfra] - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in [DeepInfra] - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Juan Carlos José Camacho	450c458f8f	community[minor]: Add Datahareld tool (#19680 ) Description: Integrate [dataherald](https://www.dataherald.com) tool, It is a natural language-to-SQL tool. Dependencies: Install dataherald sdk to use it, ``` pip install dataherald ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com>	5 months ago
Alexander Smirnov	ece008f117	docs: Refine RunnablePassthrough docstring (#19812 ) Description: This update refines the documentation for `RunnablePassthrough` by removing an unnecessary import and correcting a minor syntactical error in the example provided. This change enhances the clarity and correctness of the documentation, ensuring that users have a more accurate guide to follow. Issue: N/A Dependencies: None This PR focuses solely on documentation improvements, specifically targeting the `RunnablePassthrough` class within the `langchain_core` module. By clarifying the example provided in the docstring, users are offered a more straightforward and error-free guide to utilizing the `RunnablePassthrough` class effectively. As this is a documentation update, it does not include changes that require new integrations, tests, or modifications to dependencies. It adheres to the guidelines of minimal package interference and backward compatibility, ensuring that the overall integrity and functionality of the LangChain package remain unaffected. Thank you for considering this documentation refinement for inclusion in the LangChain project.	5 months ago
Egor Krasheninnikov	c8391d4ff1	community[patch]: Fix YandexGPT embeddings (#19720 ) Fix of YandexGPT embeddings. The current version uses a single `model_name` for queries and documents, essentially making the `embed_documents` and `embed_query` methods the same. Yandex has a different endpoint (`model_uri`) for encoding documents, see [this](https://yandex.cloud/en/docs/yandexgpt/concepts/embeddings). The bug may impact retrievers built with `YandexGPTEmbeddings` (for instance FAISS database as retriever) since they use both `embed_documents` and `embed_query`. A simple snippet to test the behaviour: ```python from langchain_community.embeddings.yandex import YandexGPTEmbeddings embeddings = YandexGPTEmbeddings() q_emb = embeddings.embed_query('hello world') doc_emb = embeddings.embed_documents(['hello world', 'hello world']) q_emb == doc_emb[0] ``` The response is `True` with the current version and `False` with the changes I made. Twitter: @egor_krash --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Guangdong Liu	4be7ca7b4c	community[patch]:sparkllm standardize init args (#20194 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Yuki Oshima	0758da8940	community[patch]: Set default value for _ListSQLDatabaseToolInput tool_input (#20409 ) Description: `_ListSQLDatabaseToolInput` raise error if model returns `{}`. For example, gpt-4-turbo returns `{}` with SQL Agent initialized by `create_sql_agent`. So, I set default value `""` for `_ListSQLDatabaseToolInput` tool_input. This is actually a gpt-4-turbo issue, not a LangChain issue, but I thought it would be helpful to set a default value `""`. This problem is discussed in detail in the following Issue. Issue: https://github.com/langchain-ai/langchain/issues/20405 Dependencies: none Sorry, I did not add or change the test code, as tests for this components was not exist . However, I have tested the following code based on the [SQL Agent Document](https://python.langchain.com/docs/use_cases/sql/agents/), to make sure it works. ``` from langchain_community.agent_toolkits.sql.base import create_sql_agent from langchain_community.utilities.sql_database import SQLDatabase from langchain_openai import ChatOpenAI db = SQLDatabase.from_uri("sqlite:///Chinook.db") llm = ChatOpenAI(model="gpt-4-turbo", temperature=0) agent_executor = create_sql_agent(llm, db=db, agent_type="openai-tools", verbose=True) result = agent_executor.invoke("List the total sales per country. Which country's customers spent the most?") print(result["output"]) ```	5 months ago
saberuster	160bcaeb93	text-splitters[minor]: Add lua code splitting (#20421 ) - Description: Complete the support for Lua code in langchain.text_splitter module. - Dependencies: No - Twitter handle: @saberuster 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>	5 months ago
ccurme	4b6b0a87b6	groq[patch]: Make stream robust to ToolMessage (#20417 ) ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_groq import ChatGroq prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatGroq(model_name="mixtral-8x7b-32768", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` ``` > Entering new AgentExecutor chain... Invoking: `magic_function` with `{'input': 3}` 5The value of magic\_function(3) is 5. > Finished chain. {'input': 'what is the value of magic_function(3)?', 'output': 'The value of magic\\_function(3) is 5.'} ```	5 months ago
ccurme	38faa74c23	community[patch]: update use of deprecated llm methods (#20393 ) .predict and .predict_messages for BaseLanguageModel and BaseChatModel	5 months ago
Corey Zumar	3a068b26f3	community[patch]: Databricks - fix scope of dangerous deserialization error in Databricks LLM connector (#20368 ) fix scope of dangerous deserialization error in Databricks LLM connector --------- Signed-off-by: dbczumar <corey.zumar@databricks.com>	5 months ago
Bagatur	f1248f8d9a	core[patch]: configurable init params (#20070 ) Proposed fix for #20061. need to test --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
aditya thomas	4f75b230ed	partner[ai21]: masking of the api key for ai21 models (#20257 ) Description: Masking of the API key for AI21 models Issue: Fixes #12165 for AI21 Dependencies: None Note: This fix came in originally through #12418 but was possibly missed in the refactor to the AI21 partner package --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	e512d3c6a6	langchain: `callbacks` imports fix (#20348 ) Replaced all `from langchain.callbacks` into `from langchain_core.callbacks` . Changes in the `langchain` and `langchain_experimental` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	d83b720c40	templates: readme langsmith not private beta (#20173 )	5 months ago
balloonio	e7b1a44c5b	community[patch]: Invoke callback prior to yielding token fix for Llamafile (#20365 ) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for Llamafile - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in community llamafile.py - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
balloonio	93caa568f9	community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint (#20366 ) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in community HuggingFaceEndpoint - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Nicolas	ad04585e30	community[minor]: Firecrawl.dev integration (#20364 ) Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl crawls and convert any website into LLM-ready data. It crawls all accessible subpages and give you clean markdown for each. - Description: Adds FireCrawl data loader - Dependencies: firecrawl-py - Twitter handle: @mendableai ccing contributors: (@ericciarla @nickscamara) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Tomaz Bratanic	a1b105ac00	experimental[patch]: Skip pydantic validation for llm graph transformer and fix JSON response where possible (#19915 ) LLMs might sometimes return invalid response for LLM graph transformer. Instead of failing due to pydantic validation, we skip it and manually check and optionally fix error where we can, so that more information gets extracted	5 months ago
P. Taylor Goetz	9317df7f16	community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354 ) Example Ollama API calls: Request without "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` {"error":"model is required"} ``` Request with "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "model": "openchat", "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` { "eval_duration" : 733248000, "created_at" : "2024-04-11T23:04:08.735766843Z", "model" : "openchat", "message" : { "content" : " The capital city of Pennsylvania is Harrisburg.", "role" : "assistant" }, "total_duration" : 3138731168, "prompt_eval_count" : 25, "load_duration" : 466562959, "done" : true, "prompt_eval_duration" : 1938495000, "eval_count" : 10 } ```	5 months ago
Alex Sherstinsky	fad0962643	community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370 )	5 months ago
Eugene Yurtsev	6470b30173	langchain[patch]: Add deprecation warning to extraction chains (#20224 ) Add deprecation warnings to extraction chains	5 months ago
Eugene Yurtsev	b65a1d4cfd	langchain[patch]: Add another unit test for indexing code (#20387 ) Add another unit test for indexing	5 months ago
Erick Friis	29282371db	core: bind_tools interface on basechatmodel (#20360 )	5 months ago
Erick Friis	e6806a08d4	multiple: standard chat model tests (#20359 )	5 months ago
Isak Nyberg	bac9fb9a7c	community: add gpt-4 pricing in callback (#20292 ) Added the pricing for `gpt-4-turbo` and `gpt-4-turbo-2024-04-09` in the callback method. related to issue #17173 https://openai.com/pricing#language-models	5 months ago
Leonid Ganeline	7cf2d2759d	community[patch]: docstrings update (#20301 ) Added missed docstrings. Format docstings to the consistent form.	5 months ago
Eugene Yurtsev	2900720cd3	core[patch]: Update documentation for base retriever (#20345 ) Updating in code documentation for base retriever to direct folks toward the .invoke and .ainvoke methods + explain how to implement	5 months ago
Erick Friis	ec0273fc92	chroma: release 0.1.0 (#20355 )	5 months ago
Erick Friis	da707d0755	chroma: remove relevance score int test (#20346 ) deprecating feature in #20302	5 months ago
Bagatur	6608089030	langchain[patch]: Release 0.1.16 (#20335 )	5 months ago
Eugene Yurtsev	653489a1a9	docs: Update documentation for custom LLMs (#19972 ) Update documentation for customizing LLMs	5 months ago
Bagatur	799714c629	release anthropic, fireworks, openai, groq, mistral (#20333 )	5 months ago
Bagatur	e72330aacc	core[patch]: Release 0.1.42 (#20332 )	5 months ago
ccurme	795c728f71	mistral[patch]: add IDs to tool calls (#20299 ) Mistral gives us one ID per response, no individual IDs for tool calls. ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_mistralai import ChatMistralAI prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatMistralAI(model="mistral-large-latest", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	22fd844e8a	community[patch]: Add deprecation warnings to postgres implementation (#20222 ) Add deprecation warnings to postgres implementation that are in langchain-postgres.	5 months ago
Eugene Yurtsev	f02f708f52	core[patch]: For now remove user warning (#20321 ) Remove warning since it creates a lot of noise.	5 months ago
Bagatur	c706689413	openai[patch]: use tool_calls in request (#20272 )	5 months ago
Bagatur	e936fba428	langchain[patch]: agents check prompt partial vars (#20303 )	5 months ago
Bagatur	cb25fa0d55	core[patch]: fix ChatGeneration.text with content blocks (#20294 )	5 months ago
Bagatur	03b247cca1	core[patch]: include tool_calls in ai msg chunk serialization (#20291 )	5 months ago
Erick Friis	0fa551c278	chroma: bump rc, keep optional (#20298 )	5 months ago
Erick Friis	16f8fff14f	chroma: add required fastapi dep to restrict to <1 (#20297 )	5 months ago
Erick Friis	991fd82532	chroma: add optional fastapi dep to restrict to <1 (#20295 )	5 months ago
killind-dev	f8a54d1d73	chroma: Add chroma partner package (#19292 ) Description: Adds chroma to the partners package. Tests & code mirror those in the community package. Dependencies: None Twitter handle: @akiradev0x --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Yuki Watanabe	eef19954f3	core[patch]: fix duplicated kwargs in `_load_sql_databse_chain` (#19908 ) `kwargs` is specified twice in [this line](`3218463f6a/libs/langchain/langchain/chains/loading.py (L386)`), causing runtime error when passing any keyword arguments.	5 months ago
Nuno Campos	15271ac832	core: mustache prompt templates (#19980 ) Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110 ) This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Yuki Oshima	12190ad728	openai[patch]: Fix langchain-openai unknown parameter error with gpt-4-turbo (#20271 ) Description: I fixed langchain-openai unknown parameter error with gpt-4-turbo. It seems that the behavior of the Chat Completions API implicitly changed when using the latest gpt-4-turbo model, differing from previous models. It now appears to reject parameters that are not listed in the [API Reference](https://platform.openai.com/docs/api-reference/chat/create). So I found some errors and fixed them. Issue: https://github.com/langchain-ai/langchain/issues/20264 Dependencies: none Twitter handle: https://twitter.com/oshima_123	5 months ago
ccurme	21c1ce0bc1	update agents to use tool call messages (#20074 ) ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_anthropic import ChatAnthropic from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), MessagesPlaceholder("chat_history", optional=True), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatAnthropic(model="claude-3-opus-20240229") @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` ``` > Entering new AgentExecutor chain... Invoking: `magic_function` with `{'input': 3}` responded: [{'text': '<thinking>\nThe user has asked for the value of magic_function applied to the input 3. Looking at the available tools, magic_function is the relevant one to use here, as it takes an integer input and returns an integer output.\n\nThe magic_function has one required parameter:\n- input (integer)\n\nThe user has directly provided the value 3 for the input parameter. Since the required parameter is present, we can proceed with calling the function.\n</thinking>', 'type': 'text'}, {'id': 'toolu_01HsTheJPA5mcipuFDBbJ1CW', 'input': {'input': 3}, 'name': 'magic_function', 'type': 'tool_use'}] 5 Therefore, the value of magic_function(3) is 5. > Finished chain. {'input': 'what is the value of magic_function(3)?', 'output': 'Therefore, the value of magic_function(3) is 5.'} ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Erick Friis	9eb6f538f0	infra, multiple: rc release versions (#20252 )	6 months ago
Bagatur	0d0458d1a7	mistralai[patch]: Pre-release 0.1.2-rc.1 (#20251 )	6 months ago
Bagatur	e4046939d0	anthropic[patch]: Pre-release 0.1.8-rc.1 (#20250 )	6 months ago
Bagatur	a8eb0f5b1b	openai[patch]: pre-release 0.1.3-rc.1 (#20249 )	6 months ago
Bagatur	a43b9e4f33	core[patch]: Pre-release 0.1.42-rc.1 (#20248 )	6 months ago
Bagatur	9514bc4d67	core[minor], ...: add tool calls message (#18947 ) core[minor], langchain[patch], openai[minor], anthropic[minor], fireworks[minor], groq[minor], mistralai[minor] ```python class ToolCall(TypedDict): name: str args: Dict[str, Any] id: Optional[str] class InvalidToolCall(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] error: Optional[str] class ToolCallChunk(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] index: Optional[int] class AIMessage(BaseMessage): ... tool_calls: List[ToolCall] = [] invalid_tool_calls: List[InvalidToolCall] = [] ... class AIMessageChunk(AIMessage, BaseMessageChunk): ... tool_call_chunks: Optional[List[ToolCallChunk]] = None ... ``` Important considerations: - Parsing logic occurs within different providers; - ~Changing output type is a breaking change for anyone doing explicit type checking;~ - ~Langsmith rendering will need to be updated: https://github.com/langchain-ai/langchainplus/pull/3561~ - ~Langserve will need to be updated~ - Adding chunks: - ~AIMessage + ToolCallsMessage = ToolCallsMessage if either has non-null .tool_calls.~ - Tool call chunks are appended, merging when having equal values of `index`. - additional_kwargs accumulate the normal way. - During streaming: - ~Messages can change types (e.g., from AIMessageChunk to AIToolCallsMessageChunk)~ - Output parsers parse additional_kwargs (during .invoke they read off tool calls). Packages outside of `partners/`: - https://github.com/langchain-ai/langchain-cohere/pull/7 - https://github.com/langchain-ai/langchain-google/pull/123/files --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Erick Friis	00552918ac	groq: xfail tool_choice tests (#20247 )	6 months ago
Bagatur	2d83505be9	experimental[patch]: Release 0.0.57 (#20243 )	6 months ago
Bagatur	f06cb59ab9	groq[patch]: Release 0.1.1 (#20242 )	6 months ago
Bagatur	0b2f0307d7	openai[patch]: Release 0.1.2 (#20241 )	6 months ago
Bagatur	4b84c9b28c	anthropic[patch]: Release 0.1.7 (#20240 )	6 months ago
Bagatur	74d04a4e80	mistralai[patch]: Release 0.1.1 (#20239 )	6 months ago
Bagatur	e5913c8758	langchain[patch]: Release 0.1.15 (#20237 )	6 months ago
Bagatur	e39fdfddf1	community[patch]: Release 0.0.32 (#20236 )	6 months ago
Bagatur	a07238d14e	core[patch]: Release 0.1.41 (#20233 )	6 months ago
Chip Davis	806d4ae48f	community[patch]: fixed multithreading returning List[List[Documents]] instead of List[Documents] (#20230 ) Description: When multithreading is set to True and using the DirectoryLoader, there was a bug that caused the return type to be a double nested list. This resulted in other places upstream not being able to utilize the from_documents method as it was no longer a `List[Documents]` it was a `List[List[Documents]]`. The change made was to just loop through the `future.result()` and yield every item. Issue: #20093 Dependencies: N/A Twitter handle: N/A	6 months ago
Eugene Yurtsev	fe35e13083	langchain[patch]: Update unit test (#20228 ) This unit test fails likely validation by the openai client. Newer openai library seems to be doing more validation so the existing test fails since http_client needs to be of httpx instance	6 months ago
Casper da Costa-Luis	b972f394c8	langchain[patch]: make BooleanOutputParser check words not substrings (#20064 ) - Description: fixes BooleanOutputParser detecting sub-words ("NOW this is likely (YES)" -> `True`, not `AmbiguousError`) - Issue(s): fixes #11408 (follow-up to #17810) - Dependencies: None - GitHub handle: @casperdcl <!-- if unreviewd after a few days, @-mention one of baskaryan, efriis, eyurtsev, hwchase17 --> - [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/ --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
seray	add31f46d0	community[patch]: OpenLLM Async Client Fixes and Timeout Parameter (#20007 ) Same changes as this merged [PR](https://github.com/langchain-ai/langchain/pull/17478) (https://github.com/langchain-ai/langchain/pull/17478), but for the async client, as the same issues persist. - Replaced 'responses' attribute of OpenLLM's GenerationOutput schema to 'outputs'. reference: `66de54eae7/openllm-core/src/openllm_core/_schemas.py (L135)` - Added timeout parameter for the async client. --------- Co-authored-by: Seray Arslan <seray.arslan@knime.com>	6 months ago
Erick Friis	37a9e23c05	community: switch to falkordb python client (#20229 )	6 months ago
Christophe Bornet	f43b48aebc	core[minor]: Implement aformat_messages for _StringImageMessagePromptTemplate (#20036 )	6 months ago
Christophe Bornet	19001e6cb9	core[minor]: Implement aformat for FewShotPromptWithTemplates (#20039 )	6 months ago
Erick Friis	855ba46f80	standard-tests: a standard unit and integration test set (#20182 ) just chat models for now	6 months ago
Erick Friis	9b5cae045c	together: release 0.1.0 (#20225 ) Resolved #20217	6 months ago
Eugene Yurtsev	7cfb643a1c	langchain-postgres: Remove remaining README.md file (#20221 ) Repository has moved to langchain-ai/langchain-postgres	6 months ago
Eugene Yurtsev	2fa7266ebb	Remove postgres package (#20207 ) Package moved	6 months ago
Simon Kelly	a682f0d12b	openai[patch]: wrap stream code in context manager blocks (#18013 ) Description: Use the `Stream` context managers in `ChatOpenAi` `stream` and `astream` method. Using the context manager returned by the OpenAI client makes it possible to terminate the stream early since the response connection will be closed when the context manager exists. Issue: #5340 Twitter handle: @snopoke --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
David Lee	0394c6e126	community[minor]: add allow_dangerous_requests for OpenAPI toolkits (#19493 ) OpenAPI allow_dangerous_requests: community: add allow_dangerous_requests for OpenAPI toolkits Description: a description of the change Due to BaseRequestsTool changes, we need to pass allow_dangerous_requests manually. `b617085af0/libs/community/langchain_community/tools/requests/tool.py (L26-L46)` While OpenAPI toolkits didn't pass it in the arguments. `b617085af0/libs/community/langchain_community/agent_toolkits/openapi/planner.py (L262-L269)` Issue: the issue # it fixes, if applicable https://github.com/langchain-ai/langchain/issues/19440 If not passing allow_dangerous_requests, it won't be able to do requests. Dependencies: any dependencies required for this change Not much --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Timothy	0c848a25ad	community[patch]: GCSDirectoryLoader bugfix (#20005 ) - Description: Bug fix. Removed extra line in `GCSDirectoryLoader` to allow catching Exceptions. Now also logs the file path if Exception is raised for easier debugging. - Issue: #20198 Bug since langchain-community==0.0.31 - Dependencies: No change - Twitter handle: timothywong731 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
jeff kit	ac42e96e4c	community[patch], langchain[minor]: Enhance Tencent Cloud VectorDB, langchain: make Tencent Cloud VectorDB self query retrieve compatible (#19651 ) - make Tencent Cloud VectorDB support metadata filtering. - implement delete function for Tencent Cloud VectorDB. - support both Langchain Embedding model and Tencent Cloud VDB embedding model. - Tencent Cloud VectorDB support filter search keyword, compatible with langchain filtering syntax. - add Tencent Cloud VectorDB TranslationVisitor, now work with self query retriever. - more documentations. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Bagatur	1a34c65e01	community[patch]: pass through sql agent kwargs (#19962 ) Fix #19961	6 months ago
Guangdong Liu	97d91ec17c	community[patch]: standardize baichuan init args (#20209 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	6 months ago
Piyush Jain	cd7abc495a	community[minor]: add neptune analytics graph (#20047 ) Replacement for PR [#19772](https://github.com/langchain-ai/langchain/pull/19772). --------- Co-authored-by: Dave Bechberger <dbechbe@amazon.com> Co-authored-by: bechbd <bechbd@users.noreply.github.com>	6 months ago
Shuqian	ad9750403b	community[minor]: add bedrock anthropic callback for token usage counting (#19864 ) Description: add bedrock anthropic callback for token usage counting, consulted openai callback. --------- Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>	6 months ago
Prince Canuma	1f9f4d8742	community[minor]: Add support for MLX models (chat & llm) (#18152 ) Description: This PR adds support for MLX models both chat (i.e., instruct) and llm (i.e., pretrained) types/ Dependencies: mlx, mlx_lm, transformers Twitter handle: @Prince_Canuma --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Leonid Ganeline	2f8dd1a161	community[patch]: `cross_encoders` flatten namespaces (#20183 ) Issue `langchain_community.cross_encoders` didn't have flattening namespace code in the __init__.py file. Changes: - added code to flattening namespaces (used #20050 as a template) - added ut for a change - added missed `test_imports` for `chat_loaders` and `chat_message_histories` modules	6 months ago
kaijietti	a812839f0c	community: add request_timeout and max_retries to ChatAnthropic (#19402 ) This PR make `request_timeout` and `max_retries` configurable for ChatAnthropic. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	391e8f2050	pinecone[patch]: fix core min version (#20177 )	6 months ago
Harry Jiang	1ee208541c	langchain: fix pinecone upsert when async_req is set to False (#19793 ) Issue: When async_req is the default value True, pinecone client return the multiprocessing AsyncResult object. When async_req is set to False, pinecone client return the result directly. `[{'upserted_count': 1}]` . Calling get() method will throw an error in this case.	6 months ago
Alex Sherstinsky	5f563e040a	community: extend Predibase integration to support fine-tuned LLM adapters (#19979 ) - [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: Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - Twitter handle: `@alexsherstinsky` - [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: Erick Friis <erick@langchain.dev>	6 months ago
Bagatur	a27d88f12a	anthropic[patch]: standardize init args (#20161 ) Related to #20085	6 months ago
Bagatur	3490d70238	mistralai[patch]: standardize model params (#20163 ) Related to #20085	6 months ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160 ) Part of #20085	6 months ago
david02871	e1a24d09c5	community: Add PHP language parser to document_loaders (#19850 ) Description: Added a PHP language parser to document_loaders Issue: N/A Dependencies: N/A Twitter handle: N/A --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Marlene	2f03bc397e	Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925 ) Last year Microsoft [changed the name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) of Azure Cognitive Search to Azure AI Search. This PR updates the Langchain Azure Retriever API and it's associated docs to reflect this change. It may be confusing for users to see the name Cognitive here and AI in the Microsoft documentation which is why this is needed. I've also added a more detailed example to the Azure retriever doc page. There are more places that need a similar update but I'm breaking it up so the PRs are not too big 😄 Fixing my errors from the previous PR. Twitter: @marlene_zw Two new tests added to test backward compatibility in `libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Rahul Triptahi	820b713086	community[minor]: Add support for Pebblo cloud_api_key in PebbloSafeLoader (#19855 ) Description: _PebbloSafeLoader_: Add support for pebblo's cloud api-key in PebbloSafeLoader - This Pull request enables PebbloSafeLoader to accept pebblo's cloud api-key and send the semantic classification data to pebblo cloud. Documentation: Updated Unit test: Added Issue: NA Dependencies: - None Twitter handle: @rahul_tripathi2 Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	6 months ago
Eugene Yurtsev	34a24d4df6	postgres[minor]: Add pgvector community as is (#20096 ) This moves langchain pgvector community as is The only modification is support for psycopg3 rather than psycopg2!	6 months ago
Eugene Yurtsev	ba9e0d76c1	postgres[minor]: add postgres checkpoint implementation (#20025 ) Adds checkpoint implementation using psycopg	6 months ago
William FH	039b7a472d	[core] fix: manually specifying run_id for chat models.invoke() and .ainvoke() (#20082 )	6 months ago
Erick Friis	96dc0ea49d	pinecone[patch]: release 0.1.0 (#20109 )	6 months ago
Maxime Perrin	5ac0d1f67b	partners[anthropic]: fix anthropic chat model message type lookup keys (#19034 ) - Description: Fixing message formatting issue in ChatAnthropic model by adding dictionary keys for `AIMessageChunk `and `HumanMessageChunk` - Issue: #19025 - Twitter handle: @maximeperrin_ Co-authored-by: Maxime Perrin <mperrin@doing.fr> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Bagatur	46f580d42d	docs: anthropic tool docstring (#20091 )	6 months ago
Erick Friis	28dfde2cb2	cohere: move package to external repo (#20081 )	6 months ago
Eugene Yurtsev	520ff50adc	community[patch]: Improve import callbacks to make it IDE friendly (#20050 ) * declares __all__ as a list of strings (instead of dynamically computing it) * import type definitions when TYPE_CHECKING is true	6 months ago
Guangdong Liu	5a76087965	langchain-core[minor]: Allow passing local cache to language models (#19331 ) After this PR it will be possible to pass a cache instance directly to a language model. This is useful to allow different language models to use different caches if needed. - Issue: close #19276 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Eugene Yurtsev	e4fc0e7502	core[patch]: Document BaseCache abstraction in code (#20046 ) Document the base cache abstraction in the cache.	6 months ago
Christophe Bornet	4d8a6a27a3	core[minor]: Implement aformat_prompt and ainvoke in BasePromptTemplate (#20035 )	6 months ago
Christophe Bornet	7e5c1905b1	core[minor]: Add async aformat_document method (#20037 )	6 months ago
Christophe Bornet	927793d088	Merge pull request #20038 * Implement aformat_messages for ChatMessagePromptTemplate	6 months ago
Bagatur	1b7ed6071a	anthropic[patch]: Release 0.1.6 (#20026 )	6 months ago
Bagatur	6860450e48	anthropic[patch]: use anthropic 0.23 (#20022 )	6 months ago
Bagatur	be3dd62de4	anthropic[patch]: fix experimental tests (#20021 )	6 months ago
Bagatur	86fdb79454	anthropic[patch]: bump core dep (#20019 ) ]	6 months ago
Bagatur	209de0a561	anthropic[minor]: tool use (#20016 )	6 months ago
Leonid Ganeline	3aacd11846	community[minor]: added missed class to __all__ (#19888 ) Added missed `UnstructuredCHMLoader` class to the document_loader.\_\_init\_\_.py \_\_all\_\_	6 months ago
Chris Papademetrious	a954dedb77	langchain[minor]: enhance `LocalFileStore` to allow directory/file permissions to be specified (#18857 ) Description: The `LocalFileStore` class can be used to create an on-disk `CacheBackedEmbeddings` cache. However, the default `umask` settings gives file/directory write permissions only to the original user. Once the cache directory is created by the first user, other users cannot write their own cache entries into the directory. To make the cache usable by multiple users, this pull request updates the `LocalFileStore` constructor to allow the permissions for newly created directories and files to be specified. The specified permissions override the default `umask` values. For example, when configured as follows: ```python file_store = LocalFileStore(temp_dir, chmod_dir=0o770, chmod_file=0o660) ``` then "user" and "group" (but not "other") have permissions to access the store, which means: * Anyone in our group could contribute embeddings to the cache. * If we implement cache cleanup/eviction in the future, anyone in our group could perform the cleanup. The default values for the `chmod_dir` and `chmod_file` parameters is `None`, which retains the original behavior of using the default `umask` settings. Issue: Implements enhancement #18075. Testing: I updated the `LocalFileStore` unit tests to test the permissions. --------- Signed-off-by: chrispy <chrispy@synopsys.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Tomaz Bratanic	df25829f33	community[minor]: Add metadata filtering support for neo4j vector (#20001 )	6 months ago
Ben Mitchell	b52b78478f	community[minor]: Implement Async OpenSearch `afrom_texts` & `afrom_embeddings` (#20009 ) - Description: Adds async variants of afrom_texts and afrom_embeddings into `OpenSearchVectorSearch`, which allows for `afrom_documents` to be called. - Issue: I implemented this because my use case involves an async scraper generating documents as and when they're ready to be ingested by Embedding/OpenSearch - Dependencies: None that I'm aware Co-authored-by: Ben Mitchell <b.mitchell@reply.com>	6 months ago
Jan Nissen	31e3ecc728	core[minor]: support pydantic V2 for JSONOutputParser, allow for other sources of JSON schemas (#19716 ) This PR supports using Pydantic v2 objects to generate the schema for the JSONOutputParser (#19441). This also adds a `json_schema` parameter to allow users to pass any JSON schema to validate with, not just pydantic.	6 months ago
Christophe Bornet	f97de4e275	core[minor]: Add aformat to FewShotPromptTemplate (#19652 )	6 months ago
Utkarsha Gupte	b27f81c51c	core[patch]: mypy ignore fixes #17048 (#19931 ) core/langchain_core/_api[Patch]: mypy ignore fixes #17048 Related to #17048 Applied mypy fixes to below two files: libs/core/langchain_core/_api/deprecation.py libs/core/langchain_core/_api/beta_decorator.py Summary of Fixes: Issue 1 class _deprecated_property(type(obj)): # type: ignore error: Unsupported dynamic base class "type" [misc] Fix: 1. Added an __init__ method to _deprecated_property to initialize the fget, fset, fdel, and __doc__ attributes. 2. In the __get__, __set__, and __delete__ methods, we now use the self.fget, self.fset, and self.fdel attributes to call the original methods after emitting the warning.  3. The finalize function now creates an instance of _deprecated_property with the fget, fset, fdel, and doc attributes from the original obj property.   Issue 2     def finalize( # type: ignore wrapper: Callable[..., Any], new_doc: str ) -> T:   error: All conditional function variants must have identical signatures    Fix: Ensured that both definitions of the finalize function have the same signature Twitter Handle - https://x.com/gupteutkarsha?s=11&t=uwHe4C3PPpGRvoO5Qpm1aA	6 months ago
harry-cohere	e103492eb8	cohere: Add citations to agent, flexibility to tool parsing, fix SDK issue (#19965 ) Description: Citations are the main addition in this PR. We now emit them from the multihop agent! Additionally the agent is now more flexible with observations (`Any` is now accepted), and the Cohere SDK version is bumped to fix an issue with the most recent version of pydantic v1 (1.10.15)	6 months ago
Jacob Lee	605c3f23e1	docs: reorg and visual refresh (#19765 ) - put use cases in main sidebar - move modules to own sidebar, rename components - cleanup lcel section - cleanup guides - update font, cell highlighting --------- Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Erick Friis	51bdfe04e9	groq: handle streaming tool call case (#19978 )	6 months ago
Erick Friis	5acb564d6f	groq: fix core version (#19976 )	6 months ago
Erick Friis	9e60159043	groq: release 0.1.0 (#19975 )	6 months ago
Graden Rea	88cf8a2905	groq: Add tool calling support (#19971 ) Description: Add with_structured_output to groq chat models Issue: Dependencies: N/A Twitter handle: N/A	6 months ago
Eugene Yurtsev	6f20f140ca	cli[minor]: Add disable sockets in unit tests (#19877 )	6 months ago
Erick Friis	83f62fdacf	core: fix try_load_from_hub for older langchain versions load_chain (#19964 )	6 months ago
Tomaz Bratanic	09a0ecd000	langchain[minor]: Tests update metadata filtering examples of documents (#19963 ) Removing metadata properties that are dicts as some databases don't support that, and those properties aren't used in tests anyhow..	6 months ago
happy-go-lucky	c6432abdbe	community[patch]: Implement delete method and all async methods in opensearch_vector_search (#17321 ) - Description: In order to use index and aindex in libs/langchain/langchain/indexes/_api.py, I implemented delete method and all async methods in opensearch_vector_search - Dependencies: No changes	6 months ago
Cheng, Penghui	cc407e8a1b	community[minor]: weight only quantization with intel-extension-for-transformers. (#14504 ) Support weight only quantization with intel-extension-for-transformers. [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit to accelerate Transformer-based models on Intel platforms, in particular effective on 4th Intel Xeon Scalable processor [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html) (codenamed Sapphire Rapids). The toolkit provides the below key features: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime. * Optimized Transformer-based model packages. * [NeuralChat](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of plugins and SOTA optimizations. * [Inference](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/llm/runtime/graph) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels. This PR is an integration of weight only quantization feature with intel-extension-for-transformers. Unit test is in lib/langchain/tests/integration_tests/llm/test_weight_only_quantization.py The notebook is in docs/docs/integrations/llms/weight_only_quantization.ipynb. The document is in docs/docs/integrations/providers/weight_only_quantization.mdx. --------- Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Eugene Yurtsev	d6d843ec24	langchain-postgres: Initial package with postgres chat history implementation (#19884 ) - [x] Add in code examples for the chat message history class - [ ] ~Add docs with notebook examples~ (can this be done later?) - [x] Update README.md	6 months ago
Eugene Yurtsev	d293431e10	core[minor]: Add aload to document loader (#19936 ) Add aload to document loader	6 months ago
Ángel Igareta	31a641a155	core: fix return of draw_mermaid_png and change to not save image by default (#19950 ) - Description: Improvement for #19599: fixing missing return of graph.draw_mermaid_png and improve it to make the saving of the rendered image optional Co-authored-by: Angel Igareta <angel.igareta@klarna.com>	6 months ago
Bagatur	4328c54aab	core[patch]: Release 0.1.39 (#19940 )	6 months ago
Nuno Campos	f4568fe0c6	core: BaseChatModel modify chat message before passing to run_manager (#19939 ) 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.	6 months ago
Leonid Kuligin	eb0521064e	deprecating integrations moved to langchain_google_community (#19841 ) Thank you for contributing to LangChain! - [ ] PR title: "community: deprecating integrations moved to langchain_google_community" - [ ] PR message: deprecating integrations moved to langchain_google_community --------- Co-authored-by: ccurme <chester.curme@gmail.com>	6 months ago
Erick Friis	f0d5b59962	core[patch]: remove requests (#19891 ) Removes required usage of `requests` from `langchain-core`, all of which has been deprecated. - removes Tracer V1 implementations - removes old `try_load_from_hub` github-based hub implementations Removal done in a way where imports will still succeed, and usage will fail with a `RuntimeError`.	6 months ago
Erick Friis	d5a2ff58e9	pinecone[patch]: source tag (#19739 )	6 months ago
harry-cohere	beab9adffb	cohere: Improve integration test stability, fix documents bug (#19929 ) Description: Improves the stability of all Cohere partner package integration tests. Fixes a bug with document parsing (both dicts and Documents are handled).	6 months ago
harry-cohere	37fc1c525a	cohere: simplify integration test (#19928 ) Description: This PR simplifies an integration test within the Cohere partner package: * It no longer relies on exact model answers * It no longer relies on a third party tool	6 months ago
billytrend-cohere	de6c0cf248	cohere, docs: update imports and installs to langchain_cohere (#19918 ) cohere: update imports and installs to langchain_cohere --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	146d1a6347	cohere[patch]: release 0.1.0rc2 (#19924 )	6 months ago
harry-cohere	e2b83c87b1	cohere[patch]: Add multihop tool agent (#19919 ) Description: Adds an agent that uses Cohere with multiple hops and multiple tools. This PR is a continuation of https://github.com/langchain-ai/langchain/pull/19650 - which was previously approved. Conceptually nothing has changed, but this PR has extra fixes, documentation and testing. --------- Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com> Co-authored-by: Erick Friis <erickfriis@gmail.com>	6 months ago
Max Jakob	22dbcc9441	langchain[patch]: fix ElasticsearchStore reference for self query (#19907 ) Initializing self query with an ElasticsearchStore from the partners packages failed previously, see https://github.com/langchain-ai/langchain/discussions/18976.	6 months ago
Bagatur	3218463f6a	core[patch]: Release 0.1.38 (#19895 )	6 months ago
Mohammad Mohtashim	9ae2df36fc	Core[major]: Base Tracer to propagate raw output from tool for on_tool_end (#18932 ) This PR completes work for PR #18798 to expose raw tool output in on_tool_end. Affected APIs: * astream_log * astream_events * callbacks sent to langsmith via langsmith-sdk * Any other code that relies on BaseTracer! --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Nuno Campos	2ae6dcdf01	core: Assign missing message ids in BaseChatModel (#19863 ) - This ensures ids are stable across streamed chunks - Multiple messages in batch call get separate ids - Also fix ids being dropped when combining message chunks 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.	6 months ago
Peter Vandenabeele	e830a4e731	community[patch]: Add remove_comments option (default True): do not extract html comments (#13259 ) - Description: add `remove_comments` option (default: True): do not extract html _comments_, - Issue: None, - Dependencies: None, - Tag maintainer: @nfcampos , - Twitter handle: peter_v I ran `make format`, `make lint` and `make test`. Discussion: I my use case, I prefer to not have the comments in the extracted text: * e.g. from a Google tag that is added in the html as comment * e.g. content that the authors have temporarily hidden to make it non visible to the regular reader Removing the comments makes the extracted text more alike the intended text to be seen by the reader. Choice to make: do we prefer to make the default for this `remove_comments` option to be True or False? I have changed it to True in a second commit, since that is how I would prefer to use it by default. Have the cleaned text (without technical Google tags etc.) and also closer to the actually visible and intended content. I am not sure what is best aligned with the conventions of langchain in general ... INITIAL VERSION (new version above): ~Choice to make: do we prefer to make the default for this `ignore_comments` option to be True or False? I have set it to False now to be backwards compatible. On the other hand, I would use it mostly with True. I am not sure what is best aligned with the conventions of langchain in general ...~ --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Jamsheed Mistri	4f70bc119d	community[minor]: add Layerup Security integration (#19787 ) Description: adds integration with [Layerup Security](https://uselayerup.com). Docs can be found [here](https://docs.uselayerup.com). Integrates directly with our Python SDK. Dependencies: [LayerupSecurity](https://pypi.org/project/LayerupSecurity/) Note: all methods for our product require a paid API key, so I only included 1 test which checks for an invalid API key response. I have tested extensively locally. Twitter handle: [@layerup_](https://twitter.com/layerup_) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Massimiliano Pronesti	06dac394a6	cohere[patch]: support request timeout in BaseCohere (#19641 ) As in #19346, this PR exposes `request_timeout` in `BaseCohere`, while `max_retires` is no longer a parameter of the beneath client (`cohere.Client`) and it is already configured in `langchain_cohere.llms.Cohere`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Mayank Solanki	d5c412b0a9	core: Add docs for RunnableConfigurableFields (#19849 ) - [x] docs: core: Add docs for `RunnableConfigurableFields` - Description: Added incode docs for `RunnableConfigurableFields` with example - Issue: #18803 - Dependencies: NA - Twitter handle: NA --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Mahdi Setayesh	c28efb878c	text-splitters[minor]: Adding a new section aware splitter to langchain (#16526 ) - Description: the layout of html pages can be variant based on the bootstrap framework or the styles of the pages. So we need to have a splitter to transform the html tags to a proper layout and then split the html content based on the provided list of tags to determine its html sections. We are using BS4 library along with xslt structure to split the html content using an section aware approach. - Dependencies: No new dependencies - Twitter handle: @m_setayesh Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Eugene Yurtsev	356a139b0a	cli[minor]: Add __version__ to integration package template (#19876 ) Packages should export __version__	6 months ago
Anıl Berk Altuner	4384fa8e49	community[minor]: Add Dria retriever (#17098 ) [Dria](https://dria.co/) is a hub of public RAG models for developers to both contribute and utilize a shared embedding lake. This PR adds a retriever that can retrieve documents from Dria.	6 months ago
Erick Friis	0b0a55192f	robocorp[patch]: fix core min version (#19879 )	6 months ago
Mikko Korpela	3f06cef60c	robocorp[patch]: Fix nested arguments descriptors and tool names (#19707 ) 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: - Description: Fix argument translation from OpenAPI spec to OpenAI function call (and similar) - Issue: OpenGPTs failures with calling Action Server based actions. - Dependencies: None - Twitter handle: mikkorpela - [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.	6 months ago
Ethan Yang	48f84e253e	community[minor]: Add OpenVINO rerank model support (#19791 ) @eaidova @AlexKoff88 Could you help to review, thanks --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Erick Friis	4fbdc2a7ee	openai[patch]: remove openai chunk size validation (#19878 )	6 months ago
Chenhui Zhang	a1f3e9f537	community[minor]: Update ChatZhipuAI to support GLM-4 model (#16695 ) Description: Update `ChatZhipuAI` to support the latest `glm-4` model. Issue: N/A Dependencies: httpx, httpx-sse, PyJWT The previous `ChatZhipuAI` implementation requires the `zhipuai` package, and cannot call the latest GLM model. This is because - The old version `zhipuai==1.` doesn't support the latest model. - `zhipuai==2.` requires `pydantic V2`, which is incompatible with 'langchain-community'. This re-implementation invokes the GLM model by sending HTTP requests to [open.bigmodel.cn](https://open.bigmodel.cn/dev/api) via the `httpx` package, and uses the `httpx-sse` package to handle stream events. --------- Co-authored-by: zR <2448370773@qq.com>	6 months ago
Bagatur	d25b5b6f25	community[patch]: Release 0.0.31 (#19873 )	6 months ago
Erick Friis	e3ed6a7c28	ai21[patch]: fix core dep (#19874 )	6 months ago
Nuno Campos	aa5797d908	openai[patch]: Partially Revert Update openai chat model to new base class interface (#19871 ) Partially Reverts langchain-ai/langchain#19729 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	be92cf57ca	openai[patch]: fix azure embedding length check (#19870 )	6 months ago
Bagatur	d62e84c4f5	community[patch]: Revert " Fix the bug that Chroma does not specify `e… (#19866 ) …mbedding_function` (#19277)" This reverts commit `7042934b5f`. Fixes #19848	6 months ago
Erick Friis	7376e4dbe9	ai21[patch]: release 0.1.3 (#19867 )	6 months ago
Ángel Igareta	c2ccf22dfd	core: generate mermaid syntax and render visual graph (#19599 ) - Description: Add functionality to generate Mermaid syntax and render flowcharts from graph data. This includes support for custom node colors and edge curve styles, as well as the ability to export the generated graphs to PNG images using either the Mermaid.INK API or Pyppeteer for local rendering. - Dependencies: Optional dependencies are `pyppeteer` if rendering wants to be done using Pypeteer and Javascript code. --------- Co-authored-by: Angel Igareta <angel.igareta@klarna.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Bagatur	003c98e5b4	experimental[patch]: Release 0.0.56 (#19840 )	6 months ago
Bagatur	c4eb841c37	langchain[patch]: Release 0.1.14 (#19839 )	6 months ago
Bagatur	0242bce38c	community[patch]: Release 0.0.30 (#19838 )	6 months ago
Bagatur	08c10bd66a	core[patch]: Release 0.1.37 (#19831 )	6 months ago
Giannis	8cf1d75d08	cohere[patch]: Fix retriever (#19771 ) * Replace `source_documents` with `documents` * Pass `documents` as a named arg vs keyword * Make `parsed_docs` more robust * Fix edge case of doc page_content being `None`	6 months ago
Guangdong Liu	b6ebddbacc	langchain[patch]: Upgrade openai's sdk and solve some interface adaptation problems. #19548 (#19785 ) - #19548 - @baskaryan @eyurtsev PTAL --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Yash Mathur	c42ec58578	together[minor]: Update endpoint to non deprecated version (#19649 ) - Updating Together.ai Endpoint: "langchain_together: Updated Deprecated endpoint for partner package" - Description: The inference API of together is deprecates, do replaced with completions and made corresponding changes. - Twitter handle: @dev_yashmathur --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
hsuyuming	5ab6b39098	community[patch]: add attribution_token within GoogleVertexAISearchRetriever (#18520 ) - Description: Add attribution_token within GoogleVertexAISearchRetriever so user can provide this information to Google support team or product team during debug session. Reference: https://cloud.google.com/generative-ai-app-builder/docs/view-analytics#user-events Attribution tokens. Attribution tokens are unique IDs generated by Vertex AI Search and returned with each search request. Make sure to include that attribution token as UserEvent.attributionToken with any user events resulting from a search. This is needed to identify if a search is served by the API. Only user events with a Google-generated attribution token are used to compute metrics. - Issue: No - Dependencies: No - Twitter handle: abehsu1992626 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Kenneth Choe	f98d7f7494	langchain[minor], community[minor]: add CrossEncoderReranker with HuggingFaceCrossEncoder and SagemakerEndpointCrossEncoder (#13687 ) - Description: Support reranking based on cross encoder models available from HuggingFace. - Added `CrossEncoder` schema - Implemented `HuggingFaceCrossEncoder` and `SagemakerEndpointCrossEncoder` - Implemented `CrossEncoderReranker` that performs similar functionality to `CohereRerank` - Added `cross-encoder-reranker.ipynb` to demonstrate how to use it. Please let me know if anything else needs to be done to make it visible on the table-of-contents navigation bar on the left, or on the card list on [retrievers documentation page](https://python.langchain.com/docs/integrations/retrievers). - Issue: N/A - Dependencies: None other than the existing ones. --------- Co-authored-by: Kenny Choe <kchoe@amazon.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
LunarECL	b7d180a70d	experimental[minor]: Create Closed Captioning Chain for .mp4 videos (#14059 ) Description: Video imagery to text (Closed Captioning) This pull request introduces the VideoCaptioningChain, a tool for automated video captioning. It processes audio and video to generate subtitles and closed captions, merging them into a single SRT output. Issue: https://github.com/langchain-ai/langchain/issues/11770 Dependencies: opencv-python, ffmpeg-python, assemblyai, transformers, pillow, torch, openai Tag maintainer: @baskaryan @hwchase17 Hello!  We are a group of students from the University of Toronto (@LunarECL, @TomSadan, @nicoledroi1, @A2113S) that want to make a contribution to the LangChain community! We have ran make format, make lint and make test locally before submitting the PR. To our knowledge, our changes do not introduce any new errors. Thank you for taking the time to review our PR! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Harrison Chase	56525f2ac1	dont mutate metadata/tags (#19742 )	6 months ago
Kamal Zhang	368e35c3b1	community[patch]: introduce convert_to_secret() to bananadev llm (#14283 ) - Description: Per #12165, this PR add to BananaLLM the function convert_to_secret_str() during environment variable validation. - Issue: #12165 - Tag maintainer: @eyurtsev - Twitter handle: @treewatcha75751 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
DrKroll	c4da8d0813	langchain[patch]: load ReadFileTool (#14301 ) --------- Co-authored-by: Dr. Simon Kroll <krolls@fida.de> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
anshaneel	0884e5de7f	community[minor]: Add Alpha Vantage API Tool (#14332 ) ### Description This implementation adds functionality from the AlphaVantage API, renowned for its comprehensive financial data. The class encapsulates various methods, each dedicated to fetching specific types of financial information from the API. ### Implemented Functions - `search_symbols`: - Searches the AlphaVantage API for financial symbols using the provided keywords. - `_get_market_news_sentiment`: - Retrieves market news sentiment for a specified stock symbol from the AlphaVantage API. - `_get_time_series_daily`: - Fetches daily time series data for a specific symbol from the AlphaVantage API. - `_get_quote_endpoint`: - Obtains the latest price and volume information for a given symbol from the AlphaVantage API. - `_get_time_series_weekly`: - Gathers weekly time series data for a particular symbol from the AlphaVantage API. - `_get_top_gainers_losers`: - Provides details on top gainers, losers, and most actively traded tickers in the US market from the AlphaVantage API. ### Issue: - #11994 ### Dependencies: - 'requests' library for HTTP requests. (import requests) - 'pytest' library for testing. (import pytest) --------- Co-authored-by: Adam Badar <94140103+adam-badar@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Alex Sherstinsky	a9bc212bf2	community[minor]: fix failing Predibase integration (#19776 ) - [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: Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - Twitter handle: `@alexsherstinsky` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
ethynic	e9caa22d47	community[patch]: Update minimax.py (#14384 ) MiniMaxChat class _generate method shoud return a ChatResult object not str Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Ahmed Moubtahij	f5d4ce840f	langchain[patch]: Simplify ensemble retriever (#14427 ) - Description: code simplification to improve readability and remove unnecessary memory allocations. - Tag maintainer: @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
M.Abdulrahman Alnaseer	ba54f1577f	community[minor]: add support for llmsherpa (#19741 ) Thank you for contributing to LangChain! - [x] PR title: "community: added support for llmsherpa library" - [x] Add tests and docs: 1. Integration test: 'docs/docs/integrations/document_loaders/test_llmsherpa.py'. 2. an example notebook: `docs/docs/integrations/document_loaders/llmsherpa.ipynb`. - [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 <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Bagatur	2f5606a318	mistralai[patch]: correct integration_test (#19774 )	6 months ago
Pierre Véron	ace7b66261	mistralai[patch]: add missing _combine_llm_outputs implementation in ChatMistralAI (#18603 ) # Description Implementing `_combine_llm_outputs` to `ChatMistralAI` to override the default implementation in `BaseChatModel` returning `{}`. The implementation is inspired by the one in `ChatOpenAI` from package `langchain-openai`. # Issue None # Dependencies None # Twitter handle None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Nuno Campos	d4673a3507	openai[patch]: Update openai chat model to new base class interface (#19729 )	6 months ago
harry-cohere	23fcc14650	cohere[patch]: support kwargs in with_structured_output (#19736 ) Description: We'd like to support passing additional kwargs in `with_structured_output`. I believe this is the accepted approach to enable additional arguments on API calls.	6 months ago
BeatrixCohere	bd02b83acd	cohere[patch]: Allow overriding of the base URL in Cohere Client (#19766 ) This PR adds the ability for a user to override the base API url for the Cohere client for embeddings and chat llm.	6 months ago
Nisarg Trivedi	1252ccce6f	text-splitters[minor]: Added Haskell support in langchain.text_splitter module (#16191 ) - Description: Haskell language support added in text_splitter module - Dependencies: No - Twitter handle: @nisargtr If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Hrvoje Milković	b7344e3347	community[minor]: Infobip tool integration (#16805 ) Description: Adding Tool that wraps Infobip API for sending sms or emails and email validation. Dependencies: None, Twitter handle: @hmilkovic Implementation: ``` libs/community/langchain_community/utilities/infobip.py ``` Integration tests: ``` libs/community/tests/integration_tests/utilities/test_infobip.py ``` Example notebook: ``` docs/docs/integrations/tools/infobip.ipynb ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Luka Krapic	727a2ea9f1	community[patch]: history size support for DynamoDBChatMessageHistory (#16794 ) Description: PR adds support for limiting number of messages preserved in a session history for DynamoDBChatMessageHistory --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Dt22	6dbf1a2de0	community[patch]: fix redis input type for index_schema field (#16874 ) ### Subject: Fix Type Misdeclaration for index_schema in redis/base.py I noticed a type misdeclaration for the index_schema column in the redis/base.py file. When following the instructions outlined in [Redis Custom Metadata Indexing](https://python.langchain.com/docs/integrations/vectorstores/redis) to create our own index_schema, it leads to a Pylance type error. <br/> The error message indicates that Dict[str, list[Dict[str, str]]] is incompatible with the type Optional[Union[Dict[str, str], str, os.PathLike]]. ``` index_schema = { "tag": [{"name": "credit_score"}], "text": [{"name": "user"}, {"name": "job"}], "numeric": [{"name": "age"}], } rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users_modified", index_schema=index_schema, ) ``` Therefore, I have created this pull request to rectify the type declaration problem. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
morgana	074ad5095f	community[patch]: mmr search for Rockset vectorstore integration (#16908 ) - Description: Adding support for mmr search in the Rockset vectorstore integration. - Issue: N/A - Dependencies: N/A - Twitter handle: `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
shahrin014	f51e6a35ba	community[patch]: OllamaEmbeddings - Pass headers to post request (#16880 ) ## Feature - Set additional headers in constructor - Headers will be sent in post request This feature is useful if deploying Ollama on a cloud service such as hugging face, which requires authentication tokens to be passed in the request header. ## Tests - Test if header is passed - Test if header is not passed Similar to https://github.com/langchain-ai/langchain/pull/15881 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Jan Chorowski	b8b42ccbc5	community[minor]: Pathway vectorstore(#14859 ) - Description: Integration with pathway.com data processing pipeline acting as an always updated vectorstore - Issue: not applicable - Dependencies: optional dependency on [`pathway`](https://pypi.org/project/pathway/) - Twitter handle: pathway_com The PR provides and integration with `pathway` to provide an easy to use always updated vector store: ```python import pathway as pw from langchain.embeddings.openai import OpenAIEmbeddings from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import PathwayVectorClient, PathwayVectorServer data_sources = [] data_sources.append( pw.io.gdrive.read(object_id="17H4YpBOAKQzEJ93xmC2z170l0bP2npMy", service_user_credentials_file="credentials.json", with_metadata=True)) text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) embeddings_model = OpenAIEmbeddings(openai_api_key=os.environ["OPENAI_API_KEY"]) vector_server = PathwayVectorServer( *data_sources, embedder=embeddings_model, splitter=text_splitter, ) vector_server.run_server(host="127.0.0.1", port="8765", threaded=True, with_cache=False) client = PathwayVectorClient( host="127.0.0.1", port="8765", ) query = "What is Pathway?" docs = client.similarity_search(query) ``` The `PathwayVectorServer` builds a data processing pipeline which continusly scans documents in a given source connector (google drive, s3, ...) and builds a vector store. The `PathwayVectorClient` implements LangChain's `VectorStore` interface and connects to the server to retrieve documents. --------- Co-authored-by: Mateusz Lewandowski <lewymati@users.noreply.github.com> Co-authored-by: mlewandowski <mlewandowski@MacBook-Pro-mlewandowski.local> Co-authored-by: Berke <berkecanrizai1@gmail.com> Co-authored-by: Adrian Kosowski <adrian@pathway.com> Co-authored-by: mlewandowski <mlewandowski@macbook-pro-mlewandowski.home> Co-authored-by: berkecanrizai <63911408+berkecanrizai@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: mlewandowski <mlewandowski@MBPmlewandowski.ht.home> Co-authored-by: Szymon Dudycz <szymond@pathway.com> Co-authored-by: Szymon Dudycz <szymon.dudycz@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Arturs Konfino	2319212d54	community[patch]: avoid executing `toolkit.get_context()` when not necessary (#19762 ) If `prompt` is passed into `create_sql_agent()`, then `toolkit.get_context()` shouldn't be executed against the database unless relevant prompt variables (`table_info` or `table_names`) are present .	6 months ago

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4219 Commits (4ca2149b7001c124c7c6a87d46f0f439b0f3785a)