langchain

Commit Graph

Author	SHA1	Message	Date
Jacob Lee	2b7d1cdd2f	docs[patch]: Update tool child run docs (#24160 ) Documents #24143	2 months ago
Anush	a653b209ba	qdrant: test new QdrantVectorStore (#24165 ) ## Description This PR adds integration tests to follow up on #24164. By default, the tests use an in-memory instance. To run the full suite of tests, with both in-memory and Qdrant server: ``` $ docker run -p 6333:6333 qdrant/qdrant $ make test $ make integration_test ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Roman Solomatin	f071581aea	openai[patch]: update openai params (#23691 ) Description: Explicitly add parameters from openai API - [X] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Leonid Ganeline	f0a7581b50	milvus: docstring (#23151 ) Added missed docstrings. Format docstrings to the consistent format (used in the API Reference) --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Christian D. Glissov	474b88326f	langchain_qdrant: Added method "_asimilarity_search_with_relevance_scores" to Qdrant class (#23954 ) I stumbled upon a bug that led to different similarity scores between the async and sync similarity searches with relevance scores in Qdrant. The reason being is that _asimilarity_search_with_relevance_scores is missing, this makes langchain_qdrant use the method of the vectorstore baseclass leading to drastically different results. To illustrate the magnitude here are the results running an identical search in a test vectorstore. Output of asimilarity_search_with_relevance_scores: [0.9902903374601824, 0.9472135924938804, 0.8535534011299859] Output of similarity_search_with_relevance_scores: [0.9805806749203648, 0.8944271849877607, 0.7071068022599718] Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	bdc03997c9	standard-tests[patch]: check for ToolCall["type"] (#24209 )	2 months ago
Nada Amin	3f1cf00d97	docs: Improve neo4j semantic templates (#23939 ) I made some changes based on the issues I stumbled on while following the README of neo4j-semantic-ollama. I made the changes to the ollama variant, and can also port the relevant ones to the layer variant once this is approved. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Nada Amin	6b47c7361e	docs: fix code usage to use the ollama variant (#23937 ) Description: the template neo4j-semantic-ollama uses an import from the neo4j-semantic-layer template instead of its own. Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Anirudh31415926535	7677ceea60	docs: model parameter mandatory for cohere embedding and rerank (#23349 ) Latest langchain-cohere sdk mandates passing in the model parameter into the Embeddings and Reranker inits. This PR is to update the docs to reflect these changes.	2 months ago
Miroslav	aee55eda39	community: Skip Login to HuggubgFaceHub when token is not set (#21561 ) Thank you for contributing to LangChain! - [ ] HuggingFaceEndpoint: "Skip Login to HuggingFaceHub" - Where: langchain, community, llm, huggingface_endpoint - [ ] PR message: *Delete this entire checklist* and replace with - Description: Skip login to huggingface hub when when `huggingfacehub_api_token` is not set. This is needed when using custom `endpoint_url` outside of HuggingFaceHub. - Issue: the issue # it fixes https://github.com/langchain-ai/langchain/issues/20342 and https://github.com/langchain-ai/langchain/issues/19685 - Dependencies: None - [ ] Add tests and docs: 1. Tested with locally available TGI endpoint 2. Example Usage ```python from langchain_community.llms import HuggingFaceEndpoint llm = HuggingFaceEndpoint( endpoint_url='http://localhost:8080', server_kwargs={ "headers": {"Content-Type": "application/json"} } ) resp = llm.invoke("Tell me a joke") print(resp) ``` Also tested against HF Endpoints ```python from langchain_community.llms import HuggingFaceEndpoint huggingfacehub_api_token = "hf_xyz" repo_id = "mistralai/Mistral-7B-Instruct-v0.2" llm = HuggingFaceEndpoint( huggingfacehub_api_token=huggingfacehub_api_token, repo_id=repo_id, ) resp = llm.invoke("Tell me a joke") print(resp) ``` 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>	2 months ago
Anush	d09dda5a08	qdrant: Bump patch version (#24168 ) # Description To release a new version of `langchain-qdrant` after #24165 and #24166.	2 months ago
Bagatur	12950cc602	standard-tests[patch]: improve runnable tool description (#24210 )	2 months ago
Erick Friis	e8ee781a42	ibm: move to external repo (#24208 )	2 months ago
Bagatur	02e71cebed	together[patch]: Release 0.1.4 (#24205 )	2 months ago
Bagatur	259d4d2029	anthropic[patch]: Release 0.1.20 (#24204 )	2 months ago
Bagatur	3aed74a6fc	fireworks[patch]: Release 0.1.5 (#24203 )	2 months ago
Bagatur	13b0d7ec8f	openai[patch]: Release 0.1.16 (#24202 )	2 months ago
Bagatur	71cd6e6feb	groq[patch]: Release 0.1.7 (#24201 )	2 months ago
Bagatur	99054e19eb	mistralai[patch]: Release 0.1.10 (#24200 )	2 months ago
Bagatur	7a1321e2f9	ibm[patch]: Release 0.1.10 (#24199 )	2 months ago
Bagatur	cb5031f22f	integrations[patch]: require core >=0.2.17 (#24207 )	2 months ago
Nithish Raghunandanan	f1618ec540	couchbase: Add standard and semantic caches (#23607 ) Thank you for contributing to LangChain! Description: Add support for caching (standard + semantic) LLM responses using Couchbase - [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, ccurme, vbarda, hwchase17. --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Eugene Yurtsev	8d82a0d483	core[patch]: Mark GraphVectorStore as beta (#24195 ) * This PR marks graph vectorstore as beta	2 months ago
Bagatur	0a1e475a30	core[patch]: Release 0.2.17 (#24189 )	2 months ago
Bagatur	6166ea67a8	core[minor]: rename ToolMessage.raw_output -> artifact (#24185 )	2 months ago
Jean Nshuti	d77d9bfc00	community[patch]: update typo document content returned from semanticscholar (#24175 ) Update "astract" -> abstract	2 months ago
Leonid Ganeline	aa3e3cfa40	core[patch]: docstrings `runnables` update (#24161 ) Added missed docstrings. Formatted docstrings to the consistent form.	2 months ago
mumu	14ba1d4b45	docs: fix numeric errors in tools_chain.ipynb (#24169 ) Description: Corrected several numeric errors in the docs/docs/how_to/tools_chain.ipynb file to ensure the accuracy of the documentation.	2 months ago
Ikko Eltociear Ashimine	18da9f5e59	docs: update custom_chat_model.ipynb (#24170 ) characetrs -> characters	2 months ago
Tomaz Bratanic	d3a2b9fae0	Fix neo4j type error on missing constraint information (#24177 ) If you use `refresh_schema=False`, then the metadata constraint doesn't exist. ATM, we used default `None` in the constraint check, but then `any` fails because it can't iterate over None value	2 months ago
Anush	7014d07cab	qdrant: new Qdrant implementation (#24164 )	2 months ago
Xander Dumaine	35784d1c33	langchain[minor]: add document_variable_name to create_stuff_documents_chain (#24083 ) - Description: `StuffDocumentsChain` uses `LLMChain` which is deprecated by langchain runnables. `create_stuff_documents_chain` is the replacement, but needs support for `document_variable_name` to allow multiple uses of the chain within a longer chain. - Issue: none - Dependencies: none	2 months ago
Eugene Yurtsev	8858846607	milvus[patch]: Fix Milvus vectorstore for newer versions of langchain-core (#24152 ) Fix for: https://github.com/langchain-ai/langchain/issues/24116 This keeps the old behavior of add_documents and add_texts	2 months ago
thedavgar	ffe6ca986e	community: Fix Bug in Azure Search Vectorstore search asyncronously (#24081 ) Thank you for contributing to LangChain! Description: This PR fixes a bug described in the issue in #24064, when using the AzureSearch Vectorstore with the asyncronous methods to do search which is also the method used for the retriever. The proposed change includes just change the access of the embedding as optional because is it not used anywhere to retrieve documents. Actually, the syncronous methods of retrieval do not use the embedding neither. With this PR the code given by the user in the issue works. ```python vectorstore = AzureSearch( azure_search_endpoint=os.getenv("AI_SEARCH_ENDPOINT_SECRET"), azure_search_key=os.getenv("AI_SEARCH_API_KEY"), index_name=os.getenv("AI_SEARCH_INDEX_NAME_SECRET"), fields=fields, embedding_function=encoder, ) retriever = vectorstore.as_retriever(search_type="hybrid", k=2) await vectorstore.avector_search("what is the capital of France") await retriever.ainvoke("what is the capital of France") ``` Issue: The Azure Search Vectorstore is not working when searching for documents with asyncronous methods, as described in issue #24064 Dependencies: There are no extra dependencies required for this change. --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Anush	7790d67f94	qdrant: New sparse embeddings provider interface - PART 1 (#24015 ) ## Description This PR introduces a new sparse embedding provider interface to work with the new Qdrant implementation that will follow this PR. Additionally, an implementation of this interface is provided with https://github.com/qdrant/fastembed. This PR will be followed by https://github.com/Anush008/langchain/pull/3.	2 months ago
Erick Friis	1132fb801b	core: release 0.2.16 (#24159 )	2 months ago
Nuno Campos	1d37aa8403	core: Remove extra newline (#24157 )	2 months ago
ccurme	cb95198398	standard-tests[patch]: add tests for runnables as tools and streaming usage metadata (#24153 )	2 months ago
Erick Friis	d002fa902f	infra: fix redundant matrix config (#24151 )	2 months ago
Bagatur	8d100c58de	core[patch]: Tool accept RunnableConfig (#24143 ) Relies on #24038 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	5fd1e67808	core[minor], integrations...[patch]: Support ToolCall as Tool input and ToolMessage as Tool output (#24038 ) Changes: - ToolCall, InvalidToolCall and ToolCallChunk can all accept a "type" parameter now - LLM integration packages add "type" to all the above - Tool supports ToolCall inputs that have "type" specified - Tool outputs ToolMessage when a ToolCall is passed as input - Tools can separately specify ToolMessage.content and ToolMessage.raw_output - Tools emit events for validation errors (using on_tool_error and on_tool_end) Example: ```python @tool("structured_api", response_format="content_and_raw_output") def _mock_structured_tool_with_raw_output( arg1: int, arg2: bool, arg3: Optional[dict] = None ) -> Tuple[str, dict]: """A Structured Tool""" return f"{arg1} {arg2}", {"arg1": arg1, "arg2": arg2, "arg3": arg3} def test_tool_call_input_tool_message_with_raw_output() -> None: tool_call: Dict = { "name": "structured_api", "args": {"arg1": 1, "arg2": True, "arg3": {"img": "base64string..."}}, "id": "123", "type": "tool_call", } expected = ToolMessage("1 True", raw_output=tool_call["args"], tool_call_id="123") tool = _mock_structured_tool_with_raw_output actual = tool.invoke(tool_call) assert actual == expected tool_call.pop("type") with pytest.raises(ValidationError): tool.invoke(tool_call) actual_content = tool.invoke(tool_call["args"]) assert actual_content == expected.content ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	eeb996034b	core[patch]: Release 0.2.15 (#24149 )	2 months ago
Nuno Campos	03fba07d15	core[patch]: Update styles for mermaid graphs (#24147 )	2 months ago
Jacob Lee	c481a2715d	docs[patch]: Add structural example to style guide (#24133 ) CC @nfcampos	2 months ago
ccurme	8ee8ca7c83	core[patch]: propagate `parse_docstring` to tool decorator (#24123 ) Disabled by default. ```python from langchain_core.tools import tool @tool(parse_docstring=True) def foo(bar: str, baz: int) -> str: """The foo. Args: bar: this is the bar baz: this is the baz """ return bar foo.args_schema.schema() ``` ```json { "title": "fooSchema", "description": "The foo.", "type": "object", "properties": { "bar": { "title": "Bar", "description": "this is the bar", "type": "string" }, "baz": { "title": "Baz", "description": "this is the baz", "type": "integer" } }, "required": [ "bar", "baz" ] } ```	2 months ago
Jacob Lee	4121d4151f	docs[patch]: Fix typo (#24132 ) CC @efriis	2 months ago
Erick Friis	bd18faa2a0	infra: add SQLAlchemy to min version testing (#23186 ) preventing issues like #22546 Notes: - this will only affect release CI. We may want to consider adding running unit tests with min versions to PR CI in some form - because this only affects release CI, it could create annoying issues releasing while I'm on vacation. Unless anyone feels strongly, I'll wait to merge this til when I'm back	2 months ago
Jacob Lee	f1f1f75782	community[patch]: Make AzureML endpoint return AI messages for type assistant (#24085 )	2 months ago
Eugene Yurtsev	4ba14adec6	core[patch]: Clean up indexing test code (#24139 ) Refactor the code to use the existing InMemroyVectorStore. This change is needed for another PR that moves some of the imports around (and messes up the mock.patch in this file)	2 months ago
Atul R	457677c1b7	community: Fixes use of ImagePromptTemplate with Ollama (#24140 ) Description: ImagePromptTemplate for Multimodal llms like llava when using Ollama Twitter handle: https://x.com/a7ulr Details: When using llava models / any ollama multimodal llms and passing images in the prompt as urls, langchain breaks with this error. ```python image_url_components = image_url.split(",") ^^^^^^^^^^^^^^^^^^^^ AttributeError: 'dict' object has no attribute 'split' ``` From the looks of it, there was bug where the condition did check for a `url` field in the variable but missed to actually assign it. This PR fixes ImagePromptTemplate for Multimodal llms like llava when using Ollama specifically. @hwchase17	2 months ago

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