1188 Commits (9e4a0e76f6aa9796ad7baa7f623ba98274676c6f)

Author	SHA1	Message	Date
Luis Moros	bcb5f354ad	community: Fix SQLDatabse.from_databricks issue when ran from Job (#24346) ... - Description: When SQLDatabase.from_databricks is ran from a Databricks Workflow job, line 205 (default_host = context.browserHostName) throws an ``AttributeError`` as the ``context`` object has no ``browserHostName`` attribute. The fix handles the exception and sets the ``default_host`` variable to null --------- Co-authored-by: lmorosdb <lmorosdb> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	2 months ago
Rafael Pereira	cf28708e7b	Neo4j: Update with non-deprecated cypher methods, and new method to associate relationship embeddings (#23725) ... **Description:** At the moment neo4j wrapper is using setVectorProperty, which is deprecated ([link](https://neo4j.com/docs/operations-manual/5/reference/procedures/#procedure_db_create_setVectorProperty)). I replaced with the non-deprecated version. Neo4j recently introduced a new cypher method to associate embeddings into relations using "setRelationshipVectorProperty" method. In this PR I also implemented a new method to perform this association maintaining the same format used in the "add_embeddings" method which is used to associate embeddings into Nodes. I also included a test case for this new method.	2 months ago
maang-h	2a3288b15d	docs: Add ChatBaichuan docstrings (#24348) ... - **Description:** Add ChatBaichuan rich docstrings. - **Issue:** the issue #22296	2 months ago
bovlb	5caa381177	community[minor]: Add ApertureDB as a vectorstore (#24088) ... Thank you for contributing to LangChain! - [X] *ApertureDB as vectorstore**: "community: Add ApertureDB as a vectorestore" - **Description:** this change provides a new community integration that uses ApertureData's ApertureDB as a vector store. - **Issue:** none - **Dependencies:** depends on ApertureDB Python SDK - **Twitter handle:** ApertureData - [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. Integration tests rely on a local run of a public docker image. Example notebook additionally relies on a local Ollama server. - [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/ All lint tests pass. 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: Gautam <gautam@aperturedata.io>	2 months ago
frob	c59e663365	community[patch]: Fix docstring for ollama parameter "keep_alive" (#23973) ... Fix doc-string for ollama integration	2 months ago
Rahul Raghavendra Choudhury	f5a38772a8	community[patch]: Update TavilySearch to use TavilyClient instead of the deprecated Client (#24270) ... On using TavilySearchAPIRetriever with any conversation chain getting error : `TypeError: Client.__init__() got an unexpected keyword argument 'api_key'` It is because the retreiver class is using the depreciated `Client` class, `TavilyClient` need to be used instead. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	2 months ago
Chen Xiabin	69b1603173	baidu qianfan AiMessage with usage_metadata (#24288) ... add usage_metadata to qianfan AIMessage. Thanks	2 months ago
Dobiichi-Origami	7aeaa1974d	community[patch]: change the class of `qianfan_ak` and `qianfan_sk` parameters (#24293) ... - **Description:** we changed the class of two parameters to fix a bug, which causes validation failure when using QianfanEmbeddingEndpoint	2 months ago
Lage Ragnarsson	a3c10fc6ce	community: Add support for specifying hybrid search for Databricks vector search (#23528) ... **Description:** Databricks Vector Search recently added support for hybrid keyword-similarity search. See [usage examples](https://docs.databricks.com/en/generative-ai/create-query-vector-search.html#query-a-vector-search-endpoint) from their documentation. This PR updates the Langchain vectorstore interface for Databricks to enable the user to pass the *query_type* parameter to *similarity_search* to make use of this functionality. By default, there will not be any changes for existing users of this interface. To use the new hybrid search feature, it is now possible to do ```python # ... dvs = DatabricksVectorSearch(index) dvs.similarity_search("my search query", query_type="HYBRID") ``` Or using the retriever: ```python retriever = dvs.as_retriever( search_kwargs={ "query_type": "HYBRID", } ) retriever.invoke("my search query") ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Christopher Tee	5171ffc026	community(you): Integrate You.com conversational APIs (#23046) ... You.com is releasing two new conversational APIs — Smart and Research. This PR: - integrates those APIs with Langchain, as an LLM - streaming is supported If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
maang-h	6c7d9f93b9	feat: Add ChatTongyi structured output (#24187) ... - **Description:** Add `with_structured_output` method to ChatTongyi to support structured output.	2 months ago
Chen Xiabin	8f4620f4b8	baidu qianfan streaming token_usage (#24117) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
maang-h	9d97de34ae	community[patch]: Improve ChatBaichuan init args and role (#23878) ... - **Description:** Improve ChatBaichuan init args and role - ChatBaichuan adds `system` role - alias: `baichuan_api_base` -> `base_url` - `with_search_enhance` is deprecated - Add `max_tokens` argument	2 months ago
mrugank-wadekar	66bebeb76a	partners: add similarity search by image functionality to langchain_chroma partner package (#22982) ... - **Description:** This pull request introduces two new methods to the Langchain Chroma partner package that enable similarity search based on image embeddings. These methods enhance the package's functionality by allowing users to search for images similar to a given image URI. Also introduces a notebook to demonstrate it's use. - **Issue:** N/A - **Dependencies:** None - **Twitter handle:** @mrugank9009 --------- Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Carlos André Antunes	20151384d7	fix azure_openai.py: some keys do not exists (#24158) ... In some lines its trying to read a key that do not exists yet. In this cases I changed the direct access to dict.get() method Thank you for contributing to LangChain! - [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/	2 months ago
Harold Martin	ccdaf14eff	docs: Spell check fixes (#24217) ... **Description:** Spell check fixes for docs, comments, and a couple of strings. No code change e.g. variable names. **Issue:** none **Dependencies:** none **Twitter handle:** hmartin	2 months ago
thehunmonkgroup	e8a21146d3	community[patch]: upgrade default model for ChatAnyscale (#24232) ... Old default `meta-llama/Llama-2-7b-chat-hf` no longer supported.	2 months ago
Bagatur	65321bf975	core[patch]: fix ToolCall "type" when streaming (#24218)	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
Jean Nshuti	d77d9bfc00	community[patch]: update typo document content returned from semanticscholar (#24175) ... Update "astract" -> abstract	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
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
Jacob Lee	f1f1f75782	community[patch]: Make AzureML endpoint return AI messages for type assistant (#24085)	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
Matt	8327925ab7	community:support additional Azure Search Options (#24134) ... - **Description:** Support additional kwargs options for the Azure Search client (Described here https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md#configurations) - **Issue:** N/A - **Dependencies:** No additional Dependencies ---------	2 months ago
Eugene Yurtsev	08638ccc88	community[patch]: QianfanLLMEndpoint fix type information for the keys (#24128) ... Fix for issue: https://github.com/langchain-ai/langchain/issues/24126	2 months ago
maang-h	16e178a8c2	docs: Add MiniMaxChat docstrings (#24026) ... - **Description:** Add MiniMaxChat rich docstrings. - **Issue:** the issue #22296	2 months ago
Christophe Bornet	5fc5ef2b52	community[minor]: Add graph store extractors (#24065) ... This adds an extractor interface and an implementation for HTML pages. Extractors are used to create GraphVectorStore Links on loaded content. **Twitter handle:** cbornet_	2 months ago
maang-h	9bcf8f867d	docs: Add SQLChatMessageHistory docstring (#23978) ... - **Description:** Add SQLChatMessageHistory docstring. - **Issue:** the issue #21983 Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Rafael Pereira	092e9ee0e6	community[minor]: Neo4j Fixed similarity docs (#23913) ... **Description:** There was missing some documentation regarding the `filter` and `params` attributes in similarity search methods. --------- Co-authored-by: rpereira <rafael.pereira@criticalsoftware.com>	2 months ago
ccurme	975b6129f6	core[patch]: support conversion of runnables to tools (#23992) ... Open to other thoughts on UX. string input: ```python as_tool = retriever.as_tool() as_tool.invoke("cat") # [Document(...), ...] ``` typed dict input: ```python class Args(TypedDict): key: int def f(x: Args) -> str: return str(x["key"] * 2) as_tool = RunnableLambda(f).as_tool( name="my tool", description="description", # name, description are inferred if not supplied ) as_tool.invoke({"key": 3}) # "6" ``` for untyped dict input, allow specification of parameters + types ```python def g(x: Dict[str, Any]) -> str: return str(x["key"] * 2) as_tool = RunnableLambda(g).as_tool(arg_types={"key": int}) result = as_tool.invoke({"key": 3}) # "6" ``` Passing the `arg_types` is slightly awkward but necessary to ensure tool calls populate parameters correctly: ```python from typing import Any, Dict from langchain_core.runnables import RunnableLambda from langchain_openai import ChatOpenAI def f(x: Dict[str, Any]) -> str: return str(x["key"] * 2) runnable = RunnableLambda(f) as_tool = runnable.as_tool(arg_types={"key": int}) llm = ChatOpenAI().bind_tools([as_tool]) result = llm.invoke("Use the tool on 3.") tool_call = result.tool_calls[0] args = tool_call["args"] assert args == {"key": 3} as_tool.run(args) ``` Contrived (?) example with langgraph agent as a tool: ```python from typing import List, Literal from typing_extensions import TypedDict from langchain_openai import ChatOpenAI from langgraph.prebuilt import create_react_agent llm = ChatOpenAI(temperature=0) def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 agent_1 = create_react_agent(llm, [magic_function]) class Message(TypedDict): role: Literal["human"] content: str agent_tool = agent_1.as_tool( arg_types={"messages": List[Message]}, name="Jeeves", description="Ask Jeeves.", ) agent_2 = create_react_agent(llm, [agent_tool]) ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Eugene Yurtsev	c4e149d4f1	community[patch]: Add linter to catch @root_validator (#24070) ... - Add linter to prevent further usage of vanilla root validator - Udpate remaining root validators	3 months ago
ccurme	9c6efadec3	community[patch]: propagate cost information to OpenAI callback (#23996) ... This is enabled following https://github.com/langchain-ai/langchain/pull/22716.	3 months ago
Ethan Yang	13855ef0c3	[HuggingFace Pipeline] add streaming support (#23852)	3 months ago
Eugene Yurtsev	f765e8fa9d	core[minor],community[patch],standard-tests[patch]: Move InMemoryImplementation to langchain-core (#23986) ... This PR moves the in memory implementation to langchain-core. * The implementation remains importable from langchain-community. * Supporting utilities are marked as private for now.	3 months ago
Eugene Yurtsev	2c180d645e	core[minor],community[minor]: Upgrade all @root_validator() to @pre_init (#23841) ... This PR introduces a @pre_init decorator that's a @root_validator(pre=True) but with all the defaults populated!	3 months ago
Rajendra Kadam	8b84457b17	community[minor]: Support PGVector in PebbloRetrievalQA (#23874) ... - **Description:** Support PGVector in PebbloRetrievalQA - Identity and Semantic Enforcement support for PGVector - Refactor Vectorstore validation and name check - Clear the overridden identity and semantic enforcement filters - **Issue:** NA - **Dependencies:** NA - **Tests**: NA(already added) - **Docs**: Updated - **Twitter handle:** [@Raj__725](https://twitter.com/Raj__725)	3 months ago
Rajendra Kadam	ee8aa54f53	community[patch]: Fix source path mismatch in PebbloSafeLoader (#23857) ... **Description:** Fix for source path mismatch in PebbloSafeLoader. The fix involves storing the full path in the doc metadata in VectorDB **Issue:** NA, caught in internal testing **Dependencies:** NA **Add tests**: Updated tests	3 months ago
Christophe Bornet	42d049f618	core[minor]: Add Graph Store component (#23092) ... This PR introduces a GraphStore component. GraphStore extends VectorStore with the concept of links between documents based on document metadata. This allows linking documents based on a variety of techniques, including common keywords, explicit links in the content, and other patterns. This works with existing Documents, so it’s easy to extend existing VectorStores to be used as GraphStores. The interface can be implemented for any Vector Store technology that supports metadata, not only graph DBs. When retrieving documents for a given query, the first level of search is done using classical similarity search. Next, links may be followed using various traversal strategies to get additional documents. This allows documents to be retrieved that aren’t directly similar to the query but contain relevant information. 2 retrieving methods are added to the VectorStore ones : * traversal_search which gets all linked documents up to a certain depth * mmr_traversal_search which selects linked documents using an MMR algorithm to have more diverse results. If a depth of retrieval of 0 is used, GraphStore is effectively a VectorStore. It enables an easy transition from a simple VectorStore to GraphStore by adding links between documents as a second step. An implementation for Apache Cassandra is also proposed. See https://github.com/datastax/ragstack-ai/blob/main/libs/knowledge-store/notebooks/astra_support.ipynb for a notebook explaining how to use GraphStore and that shows that it can answer correctly to questions that a simple VectorStore cannot. **Twitter handle:** _cbornet	3 months ago
Eugene Yurtsev	6f08e11d7c	core[minor]: add upsert, streaming_upsert, aupsert, astreaming_upsert methods to the VectorStore abstraction (#23774) ... This PR rolls out part of the new proposed interface for vectorstores (https://github.com/langchain-ai/langchain/pull/23544) to existing store implementations. The PR makes the following changes: 1. Adds standard upsert, streaming_upsert, aupsert, astreaming_upsert methods to the vectorstore. 2. Updates `add_texts` and `aadd_texts` to be non required with a default implementation that delegates to `upsert` and `aupsert` if those have been implemented. The original `add_texts` and `aadd_texts` methods are problematic as they spread object specific information across document and **kwargs. (e.g., ids are not a part of the document) 3. Adds a default implementation to `add_documents` and `aadd_documents` that delegates to `upsert` and `aupsert` respectively. 4. Adds standard unit tests to verify that a given vectorstore implements a correct read/write API. A downside of this implementation is that it creates `upsert` with a very similar signature to `add_documents`. The reason for introducing `upsert` is to: * Remove any ambiguities about what information is allowed in `kwargs`. Specifically kwargs should only be used for information common to all indexed data. (e.g., indexing timeout). *Allow inheriting from an anticipated generalized interface for indexing that will allow indexing `BaseMedia` (i.e., allow making a vectorstore for images/audio etc.) `add_documents` can be deprecated in the future in favor of `upsert` to make sure that users have a single correct way of indexing content. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Philippe PRADOS	289960bc60	community[patch]: Redis.delete should be a regular method not a static method (#23873) ... The `langchain_common.vectostore.Redis.delete()` must not be a `@staticmethod`. With the current implementation, it's not possible to have multiple instances of Redis vectorstore because all versions must share the `REDIS_URL`. It's not conform with the base class.	3 months ago
Klaudia Lemiec	a2082bc1f8	docs: Arxiv docs update (#23871) ... - [X] **PR title** - [X] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Update of docstrings and docpages - **Issue:** [22866](https://github.com/langchain-ai/langchain/issues/22866) - [X] **Add tests and docs** - [X] **Lint and test**	3 months ago
André Quintino	99b1467b63	community: add support for 'cloud' parameter in JiraAPIWrapper (#23057) ... - **Description:** Enhance JiraAPIWrapper to accept the 'cloud' parameter through an environment variable. This update allows more flexibility in configuring the environment for the Jira API. - **Twitter handle:** Andre_Q_Pereira --------- Co-authored-by: André Quintino <andre.quintino@tui.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
wenngong	b1e90b3075	community: add model_name param valid for GPT4AllEmbeddings (#23867) ... Description: add model_name param valid for GPT4AllEmbeddings Issue: #23863 #22819 --------- Co-authored-by: gongwn1 <gongwn1@lenovo.com>	3 months ago
volodymyr-memsql	a4eb6d0fb1	community: add SingleStoreDB semantic cache (#23218) ... This PR adds a `SingleStoreDBSemanticCache` class that implements a cache based on SingleStoreDB vector store, integration tests, and a notebook example. Additionally, this PR contains minor changes to SingleStoreDB vector store: - change add texts/documents methods to return a list of inserted ids - implement delete(ids) method to delete documents by list of ids - added drop() method to drop a correspondent database table - updated integration tests to use and check functionality implemented above CC: @baskaryan, @hwchase17 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>	3 months ago
Igor Drozdov	bb597b1286	feat(community): add bind_tools function for ChatLiteLLM (#23823) ... It's a follow-up to https://github.com/langchain-ai/langchain/pull/23765 Now the tools can be bound by calling `bind_tools` ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.utils.function_calling import convert_to_openai_tool from langchain_community.chat_models import ChatLiteLLM class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") prompt = "Which city is hotter today and which is bigger: LA or NY?" # tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)] tools = [GetWeather, GetPopulation] llm = ChatLiteLLM(model="claude-3-sonnet-20240229").bind_tools(tools) ai_msg = llm.invoke(prompt) print(ai_msg.tool_calls) ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: Igor Drozdov <idrozdov@gitlab.com>	3 months ago
Jiejun Tan	2be66a38d8	huggingface: Fix huggingface tei support (#22653) ... Update former pull request: https://github.com/langchain-ai/langchain/pull/22595. Modified `libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py`, where the API call function does not match current [Text Embeddings Inference API](https://huggingface.github.io/text-embeddings-inference/#/Text%20Embeddings%20Inference/embed). One example is: ```json { "inputs": "string", "normalize": true, "truncate": false } ``` Parameters in `_model_kwargs` are not passed properly in the latest version. By the way, the issue *[why cause 413? #50](https://github.com/huggingface/text-embeddings-inference/issues/50)* might be solved.	3 months ago
Bagatur	a0c2281540	infra: update mypy 1.10, ruff 0.5 (#23721) ... ```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l): path, line_no, error_type = re.match( "^(.*)\:(\d+)\: error:.*\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```	3 months ago
Oguz Vuruskaner	2a2c0d1a94	community[deepinfra]: fix tool call parsing. (#23162) ... This PR includes fix for DeepInfra tool call parsing.	3 months ago
maang-h	525109e506	feat: Implement ChatBaichuan asynchronous interface (#23589) ... - **Description:** Add interface to `ChatBaichuan` to support asynchronous requests - `_agenerate` method - `_astream` method --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago