langchain

Commit Graph

Author	SHA1	Message	Date
maang-h	7de62abc91	docs: Standardize SparkLLMTextEmbeddings docstrings (#25021 ) - Description: Standardize SparkLLMTextEmbeddings docstrings - Issue: the issue #24856	2 months ago
Tomaz Bratanic	f9a11a9197	Add relik transformer config (#25019 )	2 months ago
Bagatur	1dcee68cb8	docs: show beta directive (#25013 ) ![Screenshot 2024-08-02 at 7 15 34 PM](https://github.com/user-attachments/assets/086831c7-36f3-4962-98dc-d707b6289747)	2 months ago
Bagatur	e81ddb32a6	docs: fix kwargs docstring (#25010 ) Fix: ![Screenshot 2024-08-02 at 5 33 37 PM](https://github.com/user-attachments/assets/7c56cdeb-ee81-454c-b3eb-86aa8a9bdc8d)	2 months ago
Bagatur	57747892ce	docs: show deprecation warning first in api ref (#25001 ) OLD ![Screenshot 2024-08-02 at 3 29 39 PM](https://github.com/user-attachments/assets/7f169121-1202-4770-a006-d72ac7a1aa33) NEW ![Screenshot 2024-08-02 at 3 29 45 PM](https://github.com/user-attachments/assets/9cc07cbd-2ae9-4077-95c5-03cb051e6cd7)	2 months ago
Isaac Francisco	73570873ab	docs: standardizing tavily tool docs (#24736 ) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Bagatur	4305f78e40	core[patch]: Release 0.2.28 (#25000 )	2 months ago
Bagatur	dd8e4cd020	text-splitters[patch]: Release 0.2.3 (#24998 )	2 months ago
Bagatur	0de0cd2d31	core[patch]: merge message runs nit (#24997 ) Only add separator if both chunks are non-empty	2 months ago
Bagatur	8e2316b8c2	community[patch]: Release 0.2.11 (#24989 )	2 months ago
ccurme	c2538e7834	experimental[patch]: bump min versions of core and community (#24996 ) Ollama functions unit test broken with min version of community.	2 months ago
ccurme	22c1a4041b	community[patch]: support named arguments in github toolkit (#24986 ) Parameters may be passed in by name if generated from tool calls.	2 months ago
ccurme	4797b806c2	experimental[patch]: release 0.0.64 (#24990 )	2 months ago
Tomaz Bratanic	7061869aec	Add relik graph transformer (#24982 ) Relik is a new library for graph extraction that offers smaller and cheaper models for graph construction	2 months ago
ccurme	c04d95b962	standard-tests: set integration test parameters independent of unit test (#24979 ) This ends up getting set in integration tests.	2 months ago
gbaian10	54e9ea433a	fix: Modify the order of init_chat_model import ollama package. (#24977 )	2 months ago
ZhangShenao	71c0564c9f	community[patch]: Add test case for MoonshotChat (#24960 ) Add test case for `MoonshotChat`.	2 months ago
ZhangShenao	c65e48996c	patch[partners] Fix check_imports bugs in pinecone and milvus (#24971 ) Fix wrong declared variables of `check_imports` in pinecone and milvus	2 months ago
Isaac Francisco	d7688a4328	community[patch]: adding artifact to Tavily search (#24376 ) This allows you to get raw content as well as the answer, instead of just getting the results. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Bagatur	7b08de8909	langchain[patch]: Release 0.2.12 (#24954 )	2 months ago
Bagatur	245cb5a252	core[patch]: Release 0.2.27 (#24952 )	2 months ago
Bagatur	199e9c5ae0	core[patch]: Fix tool args schema inherited field parsing (#24936 ) Fix #24925	2 months ago
Leonid Ganeline	4092876863	core: docstrings `BaseCallbackHandler update (#24948 ) Added missed docstrings	2 months ago
WU LIFU	ad16eed119	core[patch]: runnable config ensure_config deep copy from var_child_runnable… (#24862 ) issue: #24660 RunnableWithMessageHistory.stream result in error because the [evaluation](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/runnables/branch.py#L220) of the branch [condition](`99eb31ec41/libs/core/langchain_core/runnables/history.py (L328C1-L329C1)`) unexpectedly trigger the "[on_end](`99eb31ec41/libs/core/langchain_core/runnables/history.py (L332)`)" (exit_history) callback of the default branch descriptions After a lot of investigation I'm convinced that the root cause is that 1. during the execution of the runnable, the [var_child_runnable_config](`99eb31ec41/libs/core/langchain_core/runnables/config.py (L122)`) is shared between the branch [condition](`99eb31ec41/libs/core/langchain_core/runnables/history.py (L328C1-L329C1)`) runnable and the [default branch runnable](`99eb31ec41/libs/core/langchain_core/runnables/history.py (L332)`) within the same context 2. when the default branch runnable runs, it gets the [var_child_runnable_config](`99eb31ec41/libs/core/langchain_core/runnables/config.py (L163)`) and may unintentionally [add more handlers ](`99eb31ec41/libs/core/langchain_core/runnables/config.py (L325)`)to the callback manager of this config 3. when it is again the turn for the [condition](`99eb31ec41/libs/core/langchain_core/runnables/history.py (L328C1-L329C1)`) to run, it gets the `var_child_runnable_config` whose callback manager has the handlers added by the default branch. When it runs that handler (`exit_history`) it leads to the error with the assumption that, the `ensure_config` function actually does want to create a immutable copy from `var_child_runnable_config` because it starts with an [`empty` variable ](`99eb31ec41/libs/core/langchain_core/runnables/config.py (L156)`), i go ahead to do a deepcopy to ensure that future modification to the returned value won't affect the `var_child_runnable_config` variable Having said that I actually 1. don't know if this is a proper fix 2. don't know whether it will lead to other unintended consequence 3. don't know why only "stream" runs into this issue while "invoke" runs without problem so @nfcampos @hwchase17 please help review, thanks! --------- Co-authored-by: Lifu Wu <lifu@nextbillion.ai> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
ccurme	9cb69a8746	docs: update retriever template, add arxiv retriever (#24947 )	2 months ago
Casey Clements	db3ceb4d0a	partners/mongodb: Improved search index commands (#24745 ) Hardens index commands with try/except for free clusters and optional waits for syncing and tests. [efriis](https://github.com/efriis) These are the upgrades to the search index commands (CRUD) that I mentioned. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
ccurme	41ed23a050	docs: update retriever integration pages (#24931 )	2 months ago
maang-h	ea505985c4	docs: Standardize ZhipuAIEmbeddings docstrings (#24933 ) - Description: Standardize ZhipuAIEmbeddings rich docstrings. - Issue: the issue #24856	2 months ago
Anneli Samuel	2204d8cb7d	community[patch]: Invoke on_llm_new_token callback before yielding chunk (#24938 ) Description: Invoke on_llm_new_token callback before yielding chunk in streaming mode Issue: [#16913](https://github.com/langchain-ai/langchain/issues/16913)	2 months ago
Eugene Yurtsev	75776e4a54	core[patch]: In unit tests, use `_schema()` instead of BaseModel.schema() (#24930 ) This PR introduces a module with some helper utilities for the pydantic 1 -> 2 migration. They're meant to be used in the following way: 1) Use the utility code to get unit tests pass without requiring modification to the unit tests 2) (If desired) upgrade the unit tests to match pydantic 2 output 3) (If desired) stop using the utility code Currently, this module contains a way to map `schema()` generated by pydantic 2 to (mostly) match the output from pydantic v1.	2 months ago
Serena Ruan	1827bb4042	community[patch]: support bind_tools for ChatMlflow (#24547 ) Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - Description: Support ChatMlflow.bind_tools method Tested in Databricks: <img width="836" alt="image" src="https://github.com/user-attachments/assets/fa28ef50-0110-4698-8eda-4faf6f0b9ef8"> - [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. --------- Signed-off-by: Serena Ruan <serena.rxy@gmail.com>	2 months ago
BottlePumpkin	bfc59c1d26	community: Fix KeyError in NotionDB loader when 'name' is missing (#24224 ) Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Description: This PR fixes a KeyError in NotionDBLoader when the "name" key is missing in the "people" property. Issue: Fixes #24223 Dependencies: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
alexqiao	8eb0bdead3	community[patch]: Invoke callback prior to yielding token (#24917 ) Description: Invoke callback prior to yielding token in stream method for chat_models . Issue: https://github.com/langchain-ai/langchain/issues/16913 #16913	2 months ago
ZhangShenao	b2dd9ffaaf	patch[cli] Fix bug in `check_imports.py` (#24918 ) The variable `has_failure` in check_imports.py is wrong-declared. It's actually an another variable.	2 months ago
Erick Friis	600fc233ef	partners/ollama: release 0.1.1 (#24910 )	2 months ago
Bagatur	25b93cc4c0	core[patch]: stringify tool non-content blocks (#24626 ) Slightly breaking bugfix. Shouldn't cause too many issues since no models would be able to handle non-content block ToolMessage.content anyways.	2 months ago
Nikita Pakunov	c776471ac6	community: fix AttributeError: 'YandexGPT' object has no attribute '_grpc_metadata' (#24432 ) Fixes #24049 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	752a71b688	integrations[patch]: release model packages (#24900 )	2 months ago
Jacob Lee	1213a59f87	docs[patch]: Update kv store docs pages (#24848 )	2 months ago
Erick Friis	a7380dd531	cli: release 0.0.28 (#24852 )	2 months ago
Erick Friis	e98e4be0f7	cli: register new integration doc templates (#24854 ) - wait to merge for retriever.ipynb merge #24836	2 months ago
Eugene Yurtsev	210623b409	core[minor]: Add support for pydantic 2 to utility to get fields (#24899 ) Add compatibility for pydantic 2 for a utility function. This will help push some small changes to master, so they don't have to be kept track of on a separate branch.	2 months ago
Bagatur	7d1694040d	core[patch]: Release 0.2.26 (#24898 )	2 months ago
Eugene Yurtsev	add16111b9	community[patch]: Make the pydantic linter stricter (#24897 ) Stricter linting of deprecated pydantic features.	2 months ago
Eugene Yurtsev	a4a444f73d	community[patch]: Fix arcee llm usage of root_validator(pre=False) (#24896 ) Should be pre=True	2 months ago
Eugene Yurtsev	69c656aa5f	langchain[minor]: Upgrade ambiguous root_validator to @pre_init (#24895 ) The @pre_init validator is a temporary solution for base models. It has similar (but not identical) semantics to @root_validator(), but it works strictly as a pre-init validator. It'll work as expected as long as the pydantic model type hints were correct.	2 months ago
Eugene Yurtsev	5099a9c9b4	core[patch]: Update unit tests with a workaround for using AnyID in pydantic 2 (#24892 ) Pydantic 2 ignores __eq__ overload for subclasses of strings.	2 months ago
Bagatur	8461934c2b	core[patch], integrations[patch]: convert TypedDict to tool schema support (#24641 ) supports following UX ```python class SubTool(TypedDict): """Subtool docstring""" args: Annotated[Dict[str, Any], {}, "this does bar"] class Tool(TypedDict): """Docstring Args: arg1: foo """ arg1: str arg2: Union[int, str] arg3: Optional[List[SubTool]] arg4: Annotated[Literal["bar", "baz"], ..., "this does foo"] arg5: Annotated[Optional[float], None] ``` - can parse google style docstring - can use Annotated to specify default value (second arg) - can use Annotated to specify arg description (third arg) - can have nested complex types	2 months ago
Eugene Yurtsev	d24b82357f	community[patch]: Add missing annotations (#24890 ) This PR adds annotations in comunity package. Annotations are only strictly needed in subclasses of BaseModel for pydantic 2 compatibility. This PR adds some unnecessary annotations, but they're not bad to have regardless for documentation pages.	2 months ago
Eugene Yurtsev	7720483432	langchain[patch]: Update unit tests to workaround a pydantic 2 issue (#24886 ) This will allow our unit tests to pass when using AnyID() with our pydantic models.	2 months ago
Eugene Yurtsev	2019e31bc5	langchain[patch]: Add missing type annotations (#24889 ) Adds missing type annotations in preparation for pydantic 2 upgrade.	2 months ago
ccurme	30f18c7b02	docs: add retriever integrations template (#24836 )	2 months ago
Anirudh31415926535	4da3d4b18e	docs: Minor corrections and updates to Cohere docs (#22726 ) - Description: Update the Cohere's provider and RagRetriever documentations with latest updates. - Twitter handle: Anirudh1810	2 months ago
Nishan Jain	b00c0fc558	[Community][minor]: Added prompt governance in pebblo_retrieval (#24874 ) Title: [pebblo_retrieval] Identifying entities in prompts given in PebbloRetrievalQA leading to prompt governance Description: Implemented identification of entities in the prompt using Pebblo prompt governance API. Issue: NA Dependencies: NA Add tests and docs: NA	2 months ago
Rajendra Kadam	a6add89bd4	community[minor]: [PebbloSafeLoader] Implement content-size-based batching (#24871 ) - Title: [PebbloSafeLoader] Implement content-size-based batching in the classification flow(loader/doc API) - Description: - Implemented content-size-based batching in the loader/doc API, set to 100KB with no external configuration option, intentionally hard-coded to prevent timeouts. - Remove unused field(pb_id) from doc_metadata - Issue: NA - Dependencies: NA - Add tests and docs: Updated	2 months ago
TrumanYan	096b66db4a	community: replace it with Tencent Cloud SDK (#24172 ) Description: The old method will be discontinued; use the official SDK for more model options. Issue: None Dependencies: None Twitter handle: None Co-authored-by: trumanyan <trumanyan@tencent.com>	2 months ago
Erick Friis	99eb31ec41	cli: embed docstring template (#24855 )	2 months ago
Erick Friis	3999e9035c	cli/docs: embedding template standardization (#24849 )	2 months ago
Erick Friis	1f5444817a	community: deprecate BedrockEmbeddings in favor of langchain-aws (#24846 )	2 months ago
Jacob Lee	21eb4c9e5d	docs[patch]: Adds first kv store doc matching new template (#24844 )	2 months ago
Erick Friis	b099cc3507	cli: release 0.0.27 (#24842 )	2 months ago
Bagatur	419f2c2585	cli[patch]: tool integration templates (#24837 ) Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	88418af3f5	core: release 0.2.25 (#24833 )	2 months ago
Bagatur	37b060112a	langchain[patch]: fix ollama in init_chat_model (#24832 )	2 months ago
Jerron Lim	d8f3ea82db	langchain[patch]: init_chat_model() to import ChatOllama from langchain-ollama and fallback on langchain-community (#24821 ) Description: init_chat_model() should import ChatOllama from `langchain-ollama`. If that fails, fallback to `langchain-community`	2 months ago
Isaac Francisco	511242280b	[docs]: standardize vectorstores (#24797 )	2 months ago
Jacob Lee	ac649800df	docs[patch]: Adds kv store integration docs template (#24804 )	2 months ago
cffranco94	b01d938997	experimental: Add config to convert_to_graph_documents (#24012 ) PR title: Experimental: Add config to convert_to_graph_documents Description: In order to use langfuse, i need to pass the langfuse configuration when invoking the chain. langchain_experimental does not allow to add any parameters (beside the documents) to the convert_to_graph_documents method. This way, I cannot monitor the chain in langfuse. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Catarina Franco <catarina.franco@criticalsoftware.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Shailendra Mishra	f2d810b3c0	clob_bugfix... (#24813 ) 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.	2 months ago
Anush	51b15448cc	community: Fix FastEmbedEmbeddings (#24462 ) ## Description This PR: - Fixes the validation error in `FastEmbedEmbeddings`. - Adds support for `batch_size`, `parallel` params. - Removes support for very old FastEmbed versions. - Updates the FastEmbed doc with the new params. Associated Issues: - Resolves #24039 - Resolves #https://github.com/qdrant/fastembed/issues/296	2 months ago
ccurme	73ec24fc56	docs[patch]: add toolkit template (#24791 )	2 months ago
Tamir Zitman	b3e1378f2b	langchain : text_splitters Added PowerShell (#24582 ) - Description: Added PowerShell support for text splitters language include docs relevant update - Issue: None - Dependencies: None --------- Co-authored-by: tzitman <tamir.zitman@intel.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Nuno Campos	68ecebf1ec	core: Fix implementation of trim_first_node/trim_last_node to use exact same definition of first/last node as in the getter methods (#24802 )	2 months ago
Igor Drozdov	c2706cfb9e	feat(community): add tools support for litellm (#23906 ) I used the following example to validate the behavior ```python from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import ConfigurableField from langchain_anthropic import ChatAnthropic from langchain_community.chat_models import ChatLiteLLM from langchain_core.tools import tool from langchain.agents import create_tool_calling_agent, AgentExecutor @tool def multiply(x: float, y: float) -> float: """Multiply 'x' times 'y'.""" return x * y @tool def exponentiate(x: float, y: float) -> float: """Raise 'x' to the 'y'.""" return x**y @tool def add(x: float, y: float) -> float: """Add 'x' and 'y'.""" return x + y prompt = ChatPromptTemplate.from_messages([ ("system", "you're a helpful assistant"), ("human", "{input}"), ("placeholder", "{agent_scratchpad}"), ]) tools = [multiply, exponentiate, add] llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0) # llm = ChatLiteLLM(model="claude-3-sonnet-20240229", temperature=0) agent = create_tool_calling_agent(llm, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what's 3 plus 5 raised to the 2.743. also what's 17.24 - 918.1241", }) ``` `ChatAnthropic` version works: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: [{'text': 'To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:', 'type': 'text', 'index': 0}, {'id': 'toolu_01Gf54DFTkfLMJQX3TXffmxe', 'input': {}, 'name': 'exponentiate', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 5, "y": 2.743}'}] 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` responded: [{'id': 'toolu_01XUq9S56GT3Yv2N1KmNmmWp', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 0, 'partial_json': '{"x": 3, "y": 82.65606421491815}'}] 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: [{'text': '\n\nSo 3 + 5^2.743 = 85.66\n\nTo calculate 17.24 - 918.1241, we can use:', 'type': 'text', 'index': 0}, {'id': 'toolu_01BkXTwP7ec9JKYtZPy5JKjm', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 17.24, "y": -918.1241}'}] -900.8841[{'text': '\n\nTherefore, 17.24 - 918.1241 = -900.88', 'type': 'text', 'index': 0}] > Finished chain. ``` While `ChatLiteLLM` version doesn't. But with the changes in this PR, along with: - https://github.com/langchain-ai/langchain/pull/23823 - https://github.com/BerriAI/litellm/pull/4554 The result is _almost_ the same: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools: 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: So 3 + 5^2.743 = 85.66 To calculate 17.24 - 918.1241, we can use: -900.8841 Therefore, 17.24 - 918.1241 = -900.88 > Finished chain. ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
David Robertson	bfb7f8d40a	Brave Search: Enhance search result details with extra snippets (#19209 ) Description: This update significantly improves the Brave Search Tool's utility within the LangChain library by enriching the search results it returns. The tool previously returned title, link, and snippet, with the snippet being a truncated 140-character description from the search engine. To make the search results more informative, this update enables extra_snippets by default and introduces additional result fields: title, link, description (enhancing and renaming the former snippet field), age, and snippets. The snippets field provides a list of strings summarizing the webpage, utilizing Brave's capability for more detailed search insights. This enhancement aims to make the search tool far more informative and beneficial for users. Issue: N/A Dependencies: No additional dependencies introduced. Twitter handle: @davidalexr987 Code Changes Summary: - Changed the default setting to include extra_snippets in search results. - Renamed the snippet field to description to accurately reflect its content and included an age field for search results. - Introduced a snippets field that lists webpage summaries, providing users with comprehensive search result insights. Backward Compatibility Note: The renaming of snippet to description improves the accuracy of the returned data field but may impact existing users who have developed integration's or analyses based on the snippet field. I believe this change is essential for clarity and utility, and it aligns better with the data provided by Brave Search. Additional Notes: This proposal focuses exclusively on the Brave Search package, without affecting other LangChain packages or introducing new dependencies.	2 months ago
Ben Chambers	435771fe74	[community]: Fix package name mismatch (#24824 ) - Description: fix a mismatch in pypi package names	2 months ago
ccurme	b7bbfc7c67	langchain: revert "init_chat_model() to support ChatOllama from langchain-ollama" (#24819 ) Reverts langchain-ai/langchain#24818 Overlooked discussion in https://github.com/langchain-ai/langchain/pull/24801.	2 months ago
Jerron Lim	5abfc85fec	langchain: init_chat_model() to support ChatOllama from langchain-ollama (#24818 ) Description: Since moving away from `langchain-community` is recommended, `init_chat_models()` should import ChatOllama from `langchain-ollama` instead.	2 months ago
Erick Friis	cdaea17b3e	cli/docs: llm integration template standardization (#24795 )	2 months ago
Bagatur	a6d1fb4275	core[patch]: introduce ToolMessage.status (#24628 ) Anthropic models (including via Bedrock and other cloud platforms) accept a status/is_error attribute on tool messages/results (specifically in `tool_result` content blocks for Anthropic API). Adding a ToolMessage.status attribute so that users can set this attribute when using those models	2 months ago
Isaac Francisco	78d97b49d9	[partner]: ollama llm fix (#24790 )	2 months ago
maang-h	4bb1a11e02	community: Add MiniMaxChat bind_tools and structured output (#24310 ) - Description: - Add `bind_tools` method to support tool calling - Add `with_structured_output` method to support structured output	2 months ago
John	0a2ff40fcc	partners/unstructured: fix client api_url (#24680 ) Description: Add empty string default for api_key and change `server_url` to `url` to match existing loaders. - [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.	2 months ago
maang-h	bf685c242f	docs: Standardize QianfanEmbeddingsEndpoint (#24786 ) - Description: Standardize QianfanEmbeddingsEndpoint, include: - docstrings, the issue #21983 - model init arg names, the issue #20085	2 months ago
ccurme	9998e55936	core[patch]: support tool calls with non-pickleable args in tools (#24741 ) Deepcopy raises with non-pickleable args.	2 months ago
Erick Friis	df78608741	mongodb: bson optional import (#24685 )	2 months ago
M. Ali	c086410677	fix docs typos (#23668 ) Thank you for contributing to LangChain! - [x] PR title: "docs: fix multiple typos" Co-authored-by: mohblnk <mohamed.ali@blnk.ai> Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Pere Pasamonte	98175860ad	community: Fix AWS DocumentDB similarity_search when filter is None (#24777 ) Description Fixes DocumentDBVectorSearch similarity_search when no filter is used; it defaults to None but $match does not accept None, so changed default to empty {} before pipeline is created. Issue AWS DocumentDB similarity search does not work when no filter is used. Error msg: "the match filter must be an expression in an object" #24775 Dependencies No dependencies Twitter handle https://x.com/perepasamonte --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Lennart J. Kurzweg	7da0597ecb	partners[ollama]: Support seed parameter for ChatOllama (#24782 ) ## Description Adds seed parameter to ChatOllama ## Resolves Issues - #24703 ## Dependency Changes None Co-authored-by: Lennart J. Kurzweg (Nx2) <git@nx2.site>	2 months ago
ccurme	e264ccf484	standard-tests[patch]: update groq and structured output test (#24781 ) - Mixtral with Groq has started consistently failing tool calling tests. Here we restrict testing to llama 3.1. - `.schema` is deprecated in pydantic proper in favor of `.model_json_schema`.	2 months ago
ZhangShenao	4a05679fdb	patch[experimental] Fix prompt in `GenerativeAgentMemory` (#24771 ) There is an issue with the prompt format in `GenerativeAgentMemory` , try to fix it. The prompt is same as the one in method `_score_memory_importance`.	2 months ago
WU LIFU	2ba8393182	graph_transformers: bug fix for create_simple_model not passing in ll… (#24643 ) issue: #24615 descriptions: The _Graph pydantic model generated from create_simple_model (which LLMGraphTransformer uses when allowed nodes and relationships are provided) does not constrain the relationships (source and target types, relationship type), and the node and relationship properties with enums when using ChatOpenAI. The issue is that when calling optional_enum_field throughout create_simple_model the llm_type parameter is not passed in except for when creating node type. Passing it into each call fixes the issue. Co-authored-by: Lifu Wu <lifu@nextbillion.ai>	2 months ago
William FH	01ab2918a2	core[patch]: Respect injected in bound fns (#24733 ) Since right now you cant use the nice injected arg syntas directly with model.bind_tools()	2 months ago
Pavel	7fcfe7c1f4	openai[patch]: openai proxy added to base embeddings (#24539 ) - [ ] PR title: "langchain-openai: openai proxy added to base embeddings" - [ ] PR message: - Description: Dear langchain developers, You've already supported proxy for ChatOpenAI implementation in your package. At the same time, if somebody needed to use proxy for chat, it also could be necessary to be able to use it for OpenAIEmbeddings. That's why I think it's important to add proxy support for OpenAI embeddings. That's what I've done in this PR. @baskaryan --------- Co-authored-by: karpov <karpov@dohod.ru> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Chuck Wooters	56c2a7f6d4	partners: add missing key name to Field() for ChatFireworks model (#24721 ) Description: In the `ChatFireworks` class definition, the Field() call for the "stop" ("stop_sequences") parameter is missing the "default" keyword. Issue: Type checker reports "stop_sequences" as a missing arg (not recognizing the default value is None) Dependencies: None Twitter handle: None	2 months ago
AmosDinh	c113682328	community:Add support for specifying document_loaders.firecrawl api url. (#24747 ) community:Add support for specifying document_loaders.firecrawl api url. Add support for specifying document_loaders.firecrawl api url. This is mainly to support the [self-hosting](https://github.com/mendableai/firecrawl/blob/main/SELF_HOST.md) option firecrawl provides. Eg. now I can specify localhost:.... The corresponding firecrawl class already provides functionality to pass the argument. See here: `4c9d62f6d3/apps/python-sdk/firecrawl/firecrawl.py (L29)` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Jerron Lim	df37c0d086	partners[ollama]: Support base_url for ChatOllama (#24719 ) Add a class attribute `base_url` for ChatOllama to allow users to choose a different URL to connect to. Fixes #24555	2 months ago
Bagatur	8964f8a710	core: use mypy<1.11 (#24749 ) Bug in mypy 1.11.0 blocking CI, see example: https://github.com/langchain-ai/langchain/actions/runs/10127096903/job/28004492692?pr=24641	2 months ago
Isaac Francisco	152427eca1	make image inputs compatible with langchain_ollama (#24619 )	2 months ago
William FH	0535d72927	Add type() in error msg (#24723 )	2 months ago
Eugene Yurtsev	9be6b5a20f	core[patch]: Correct doc-string for InMemoryRateLimiter (#24730 ) Correct the documentaiton string.	2 months ago
Cristi Burcă	174e7d2ab2	langchain: Make OutputFixingParser.from_llm() create a useable retry chain (#24687 ) Description: OutputFixingParser.from_llm() creates a retry chain that returns a Generation instance, when it should actually just return a string. Issue: https://github.com/langchain-ai/langchain/issues/24600 Twitter handle: scribu --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Bagatur	b3a23ddf93	integration releases (#24725 ) Release anthropic, openai, groq, mistralai, robocorp	2 months ago
Bagatur	315223ce26	core[patch]: Release 0.2.24 (#24722 )	2 months ago
Haijian Wang	cda3025ee1	Integrating the Yi family of models. (#24491 ) Thank you for contributing to LangChain! - [x] PR title: "community:add Yi LLM", "docs:add Yi Documentation" - [x] PR message: *Delete this entire checklist* and replace with - Description: This PR adds support for the Yi model to LangChain. - Dependencies: [langchain_core,requests,contextlib,typing,logging,json,langchain_community] - Twitter handle: 01.AI - [x] Add tests and docs: I've added the corresponding documentation to the relevant paths --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Bagatur	ad7581751f	core[patch]: ChatPromptTemplate.init same as ChatPromptTemplate.from_… (#24486 )	2 months ago
Marc Gibbons	cc451effd1	community[patch]: langchain_community.vectorstores.azuresearch Raise LangChainException instead of bare Exception (#23935 ) Raise `LangChainException` instead of `Exception`. This alleviates the need for library users to use bare try/except to handle exceptions raised by `AzureSearch`. Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Eugene Yurtsev	3a5365a33e	ai21: apply rate limiter in integration tests (#24717 ) Apply rate limiter in integration tests	2 months ago
Eugene Yurtsev	03d62a737a	together: Add rate limiter to integration tests (#24714 ) Rate limit the integration tests to avoid getting 429s.	2 months ago
Diverrez morgan	c4d2a53f18	community: creation score_threshold in flashrank_rerank.py (#24016 ) Description: add a optional score relevance threshold for select only coherent document, it's in complement of top_n Discussion: add relevance score threshold in flashrank_rerank document compressors #24013 Dependencies: no dependencies --------- Co-authored-by: Benjamin BERNARD <benjamin.bernard@openpathview.fr> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Cong Peng	190988d93e	community: Add parameter `allow_dangerous_requests` to `WebResearchRetriever.from_llm` construct (#24712 ) Description: To avoid ValueError when construct the retriever from method `from_llm()`.	2 months ago
monysun	5f593c172a	community: fix dashcope embeddings embed_query func post too much req to api (#24707 ) the fuc of embed_query of dashcope embeddings send a str param, and in the embed_with_retry func will send error content to api	2 months ago
yonarw	b65ac8d39c	community[minor]: Self query retriever for HANA Cloud Vector Engine (#24494 ) Description: - This PR adds a self query retriever implementation for SAP HANA Cloud Vector Engine. The retriever supports all operators except for contains. - Issue: N/A - Dependencies: no new dependencies added Add tests and docs: Added integration tests to: libs/community/tests/unit_tests/query_constructors/test_hanavector.py Documentation for self query retriever: /docs/integrations/retrievers/self_query/hanavector_self_query.ipynb --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
nobbbbby	4f3b4fc7fe	community[patch]: Extend Baichuan model with tool support (#24529 ) Description: Expanded the chat model functionality to support tools in the 'baichuan.py' file. Updated module imports and added tool object handling in message conversions. Additional changes include the implementation of tool binding and related unit tests. The alterations offer enhanced model capabilities by enabling interaction with tool-like objects. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Rave Harpaz	ee399e3ec5	community[patch]: Add OCI Generative AI tool and structured output support (#24693 ) - [x] PR title: community: Add OCI Generative AI tool and structured output support - [x] PR message: - Description: adding tool calling and structured output support for chat models offered by OCI Generative AI services. This is an update to our last PR 22880 with changes in /langchain_community/chat_models/oci_generative_ai.py - Issue: NA - Dependencies: NA - Twitter handle: NA - [x] Add tests and docs: 1. we have updated our unit tests 2. we have updated our documentation under /docs/docs/integrations/chat/oci_generative_ai.ipynb - [x] Lint and test: `make format`, `make lint` and `make test` we run successfully --------- Co-authored-by: RHARPAZ <RHARPAZ@RHARPAZ-5750.us.oracle.com> Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com>	2 months ago
Yuki Watanabe	2b6a262f84	community[patch]: Replace `filters` argument to `filter` in DatabricksVectorSearch (#24530 ) The [DatabricksVectorSearch](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/vectorstores/databricks_vector_search.py#L21) class exposes similarity search APIs with argument `filters`, which is inconsistent with other VS classes who uses `filter` (singular). This PR updates the argument and add alias for backward compatibility. --------- Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>	2 months ago
Sunish Sheth	59880a9147	community[patch]: mlflow handle empty chunk(#24689 )	2 months ago
Eugene Yurtsev	20690db482	core[minor]: Add BaseModel.rate_limiter, RateLimiter abstraction and in-memory implementation (#24669 ) This PR proposes to create a rate limiter in the chat model directly, and would replace: https://github.com/langchain-ai/langchain/pull/21992 It resolves most of the constraints that the Runnable rate limiter introduced: 1. It's not annoying to apply the rate limiter to existing code; i.e., possible to roll out the change at the location where the model is instantiated, rather than at every location where the model is used! (Which is necessary if the model is used in different ways in a given application.) 2. batch rate limiting is enforced properly 3. the rate limiter works correctly with streaming 4. the rate limiter is aware of the cache 5. The rate limiter can take into account information about the inputs into the model (we can add optional inputs to it down-the road together with outputs!) The only downside is that information will not be properly reflected in tracing as we don't have any metadata evens about a rate limiter. So the total time spent on a model invocation will be: * time spent waiting for the rate limiter * time spend on the actual model request ## Example ```python from langchain_core.rate_limiters import InMemoryRateLimiter from langchain_groq import ChatGroq groq = ChatGroq(rate_limiter=InMemoryRateLimiter(check_every_n_seconds=1)) groq.invoke('hello') ```	2 months ago
Eugene Yurtsev	c623ae6661	experimental[patch]: Fix import test (#24672 ) Import test was misconfigured, the glob wasn't returning any file paths	2 months ago
Chaunte W. Lacewell	69eacaa887	Community[minor]: Update VDMS vectorstore (#23729 ) Description: - This PR exposes some functions in VDMS vectorstore, updates VDMS related notebooks, updates tests, and upgrade version of VDMS (>=0.0.20) Issue: N/A Dependencies: - Update vdms>=0.0.20	2 months ago
Nuno Campos	8734cabc09	core: Don't draw None edge labels (#24690 ) 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.	2 months ago
Bagatur	4840db6892	docs: standardize groq chat model docs (#24616 ) part of #22296 --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Isaac Francisco	218c554c4f	[docs]: add doctoring to ChatTogether (#24636 )	2 months ago
Isaac Francisco	5c7e589aaf	deprecating ollama_functions (#24632 )	2 months ago
KyrianC	0fdbaf4a8d	community: fix ChatEdenAI + EdenAI Tools (#23715 ) Fixes for Eden AI Custom tools and ChatEdenAI: - add missing import in __init__ of chat_models - add `args_schema` to custom tools. otherwise '__arg1' would sometimes be passed to the `run` method - fix IndexError when no human msg is added in ChatEdenAI	2 months ago
ccurme	58dd69f7f2	core[patch]: fix mutating tool calls (#24677 ) In some cases tool calls are mutated when passed through a tool.	2 months ago
ccurme	dfbd12b384	mistral[patch]: translate tool call IDs to mistral compatible format (#24668 ) Mistral appears to have added validation for the format of its tool call IDs: `{"object":"error","message":"Tool call id was abc123 but must be a-z, A-Z, 0-9, with a length of 9.","type":"invalid_request_error","param":null,"code":null}` This breaks compatibility of messages from other providers. Here we add a function that converts any string to a Mistral-valid tool call ID, and apply it to incoming messages.	2 months ago
maang-h	38d30e285a	docs: Standardize BaichuanTextEmbeddings docstrings (#24674 ) - Description: Standardize BaichuanTextEmbeddings docstrings. - Issue: the issue #21983	2 months ago
Eugene Yurtsev	89bcca3542	experimental[patch]: Bump core (#24671 )	2 months ago
rick-SOPTIM	cd563fb628	community[minor]: passthrough auth parameter on requests to Ollama-LLMs (#24068 ) Thank you for contributing to LangChain! Description: This PR allows users of `langchain_community.llms.ollama.Ollama` to specify the `auth` parameter, which is then forwarded to all internal calls of `requests.request`. This works in the same way as the existing `headers` parameters. The auth parameter enables the usage of the given class with Ollama instances, which are secured by more complex authentication mechanisms, that do not only rely on static headers. An example are AWS API Gateways secured by the IAM authorizer, which expects signatures dynamically calculated on the specific HTTP request. Issue: Integrating a remote LLM running through Ollama using `langchain_community.llms.ollama.Ollama` only allows setting static HTTP headers with the parameter `headers`. This does not work, if the given instance of Ollama is secured with an authentication mechanism that makes use of dynamically created HTTP headers which for example may depend on the content of a given request. Dependencies: None Twitter handle: None --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
남광우	256bad3251	core[minor]: Support asynchronous in InMemoryVectorStore (#24472 ) ### Description * support asynchronous in InMemoryVectorStore * since embeddings might be possible to call asynchronously, ensure that both asynchronous and synchronous functions operate correctly.	2 months ago
Luca Dorigo	5fdbdd6bec	community[patch]: Fix invalid iohttp verify parameter (#24655 ) Should fix https://github.com/langchain-ai/langchain/issues/24654	2 months ago
Eugene Yurtsev	7dd6b32991	core[minor]: Add InMemoryRateLimiter (#21992 ) This PR introduces the following Runnables: 1. BaseRateLimiter: an abstraction for specifying a time based rate limiter as a Runnable 2. InMemoryRateLimiter: Provides an in-memory implementation of a rate limiter ## Example ```python from langchain_core.runnables import InMemoryRateLimiter, RunnableLambda from datetime import datetime foo = InMemoryRateLimiter(requests_per_second=0.5) def meow(x): print(datetime.now().strftime("%H:%M:%S.%f")) return x chain = foo \| meow for _ in range(10): print(chain.invoke('hello')) ``` Produces: ``` 17:12:07.530151 hello 17:12:09.537932 hello 17:12:11.548375 hello 17:12:13.558383 hello 17:12:15.568348 hello 17:12:17.578171 hello 17:12:19.587508 hello 17:12:21.597877 hello 17:12:23.607707 hello 17:12:25.617978 hello ``` ![image](https://github.com/user-attachments/assets/283af59f-e1e1-408b-8e75-d3910c3c44cc) ## Interface The rate limiter uses the following interface for acquiring a token: ```python class BaseRateLimiter(Runnable[Input, Output], abc.ABC): @abc.abstractmethod def acquire(self, *, blocking: bool = True) -> bool: """Attempt to acquire the necessary tokens for the rate limiter.``` ``` The flag `blocking` has been added to the abstraction to allow supporting streaming (which is easier if blocking=False). ## Limitations - The rate limiter is not designed to work across different processes. It is an in-memory rate limiter, but it is thread safe. - The rate limiter only supports time-based rate limiting. It does not take into account the size of the request or any other factors. - The current implementation does not handle streaming inputs well and will consume all inputs even if the rate limit has been reached. Better support for streaming inputs will be added in the future. - When the rate limiter is combined with another runnable via a RunnableSequence, usage of .batch() or .abatch() will only respect the average rate limit. There will be bursty behavior as .batch() and .abatch() wait for each step to complete before starting the next step. One way to mitigate this is to use batch_as_completed() or abatch_as_completed(). ## Bursty behavior in `batch` and `abatch` When the rate limiter is combined with another runnable via a RunnableSequence, usage of .batch() or .abatch() will only respect the average rate limit. There will be bursty behavior as .batch() and .abatch() wait for each step to complete before starting the next step. This becomes a problem if users are using `batch` and `abatch` with many inputs (e.g., 100). In this case, there will be a burst of 100 inputs into the batch of the rate limited runnable. 1. Using a RunnableBinding The API would look like: ```python from langchain_core.runnables import InMemoryRateLimiter, RunnableLambda rate_limiter = InMemoryRateLimiter(requests_per_second=0.5) def meow(x): return x rate_limited_meow = RunnableLambda(meow).with_rate_limiter(rate_limiter) ``` 2. Another option is to add some init option to RunnableSequence that changes `.batch()` to be depth first (e.g., by delegating to `batch_as_completed`) ```python RunnableSequence(first=rate_limiter, last=model, how='batch-depth-first') ``` Pros: Does not require Runnable Binding Cons: Feels over-complicated	2 months ago
Oleg Kulyk	4b1b7959a2	community[minor]: Add ScrapingAnt Loader Community Integration (#24514 ) Added [ScrapingAnt](https://scrapingant.com/) Web Loader integration. ScrapingAnt is a web scraping API that allows extracting web page data into accessible and well-formatted markdown. Description: Added ScrapingAnt web loader for retrieving web page data as markdown Dependencies: scrapingant-client Twitter: @WeRunTheWorld3 --------- Co-authored-by: Oleg Kulyk <oleg@scrapingant.com>	2 months ago
John	d59c656ea5	unstructured, community, initialize langchain-unstructured package (#22779 ) #### Update (2): A single `UnstructuredLoader` is added to handle both local and api partitioning. This loader also handles single or multiple documents. #### Changes in `community`: Changes here do not affect users. In the initial process of using the SDK for the API Loaders, the Loaders in community were refactored. Other changes include: The `UnstructuredBaseLoader` has a new check to see if both `mode="paged"` and `chunking_strategy="by_page"`. It also now has `Element.element_id` added to the `Document.metadata`. `UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. As such, now both directly inherit from `UnstructuredBaseLoader` and initialize their `file_path`/`file` attributes respectively and implement their own `_post_process_elements` methods. -------- #### Update: New SDK Loaders in a [partner package](https://python.langchain.com/v0.1/docs/contributing/integrations/#partner-package-in-langchain-repo) are introduced to prevent breaking changes for users (see discussion below). ##### TODO: - [x] Test docstring examples -------- - Description: UnstructuredAPIFileIOLoader and UnstructuredAPIFileLoader calls to the unstructured api are now made using the unstructured-client sdk. - New Dependencies: unstructured-client - [x] Add tests and docs: If you're adding a new integration, please include - [x] a test for the integration, preferably unit tests that do not rely on network access, - [x] update the description in `docs/docs/integrations/providers/unstructured.mdx` - [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. TODO: - [x] Update https://python.langchain.com/v0.1/docs/integrations/document_loaders/unstructured_file/#unstructured-api - `langchain/docs/docs/integrations/document_loaders/unstructured_file.ipynb` - The description here needs to indicate that users should install `unstructured-client` instead of `unstructured`. Read over closely to look for any other changes that need to be made. - [x] Update the `lazy_load` method in `UnstructuredBaseLoader` to handle json responses from the API instead of just lists of elements. - This method may need to be overwritten by the API loaders instead of changing it in the `UnstructuredBaseLoader`. - [x] Update the documentation links in the class docstrings (the Unstructured documents have moved) - [x] Update Document.metadata to include `element_id` (see thread [here](https://unstructuredw-kbe4326.slack.com/archives/C044N0YV08G/p1718187499818419)) --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com>	2 months ago
Joel Akeret	acfce30017	Adding compatibility for OllamaFunctions with ImagePromptTemplate (#24499 ) - [ ] PR title: "experimental: Adding compatibility for OllamaFunctions with ImagePromptTemplate" - [ ] PR message: - Description: Removes the outdated `_convert_messages_to_ollama_messages` method override in the `OllamaFunctions` class to ensure that ollama multimodal models can be invoked with an image. - Issue: #24174 --------- Co-authored-by: Joel Akeret <joel.akeret@ti&m.com> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Erick Friis	8f3c052db1	cli: release 0.0.26 (#24623 ) - cli: remove snapshot flag from pytest defaults - x - x	2 months ago
ChengZi	29a3b3a711	partners[milvus]: add dynamic field (#24544 ) add dynamic field feature to langchain_milvus more unittest, more robustic plan to deprecate the `metadata_field` in the future, because it's function is the same as `enable_dynamic_field`, but the latter one is a more advanced concept in milvus Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	20fe4deea0	milvus: release 0.1.3 (#24624 )	2 months ago
Erick Friis	3a55f4bfe9	cli: remove snapshot flag from pytest defaults (#24622 )	2 months ago
Eugene Yurtsev	b55f6105c6	community[patch]: Add linter to prevent further usage of root_validator and validator (#24613 ) This linter is meant to move development to use __init__ instead of root_validator and validator. We need to investigate whether we need to lint some of the functionality of Field (e.g., `lt` and `gt`, `alias`) `alias` is the one that's most popular: (community) ➜ community git:(eugene/add_linter_to_community) ✗ git grep " Field(" \| grep "alias=" \| wc -l 144 (community) ➜ community git:(eugene/add_linter_to_community) ✗ git grep " Field(" \| grep "ge=" \| wc -l 10 (community) ➜ community git:(eugene/add_linter_to_community) ✗ git grep " Field(" \| grep "gt=" \| wc -l 4	2 months ago
Anush	4585eaef1b	qdrant: Fix vectors_config access (#24606 ) ## Description Fixes #24558 by accessing `vectors_config` after asserting it to be a dict.	2 months ago
maang-h	22175738ac	docs: Add MongoDBChatMessageHistory docstrings (#24608 ) - Description: Add MongoDBChatMessageHistory rich docstrings. - Issue: the issue #21983	2 months ago
Anindyadeep	12c3454fd9	[Community] PremAI Tool Calling Functionality (#23931 ) This PR is under WIP and adds the following functionalities: - [X] Supports tool calling across the langchain ecosystem. (However streaming is not supported) - [X] Update documentation	2 months ago
Vishnu Nandakumar	e271965d1e	community: retrievers: added capability for using Product Quantization as one of the retriever. (#22424 ) - [ ] Community: "Retrievers: Product Quantization" - [X] This PR adds Product Quantization feature to the retrievers to the Langchain Community. PQ is one of the fastest retrieval methods if the embeddings are rich enough in context due to the concepts of quantization and representation through centroids - Description: Adding PQ as one of the retrievers - Dependencies: using the package nanopq for this PR - Twitter handle: vishnunkumar_ - [X] Add tests and docs: If you're adding a new integration, please include - [X] Added unit tests for the same in the retrievers. - [] Will add an example notebook subsequently - [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/ - done the same --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
stydxm	b9bea36dd4	community: fix typo in warning message (#24597 ) - Description: This PR fixes a small typo in a warning message - Issue: ![](https://github.com/user-attachments/assets/5aa57724-26c5-49f6-8bc1-5a54bb67ed49) There were double `Use` and double `instead`	2 months ago
cüre	da06d4d7af	community: update finetuned model cost for 4o-mini (#24605 ) - Description: adds model price for. reference: https://openai.com/api/pricing/ - Issue: - - Dependencies: - - Twitter handle: cureef	2 months ago
Philippe PRADOS	5f73c836a6	openai[small]: Add the new model: gpt-4o-mini (#24594 )	2 months ago
ZhangShenao	ad18afc3ec	community[patch]: Fix param spelling error in `ElasticsearchChatMessageHistory` (#24589 ) Fix param spelling error in `ElasticsearchChatMessageHistory`	2 months ago
Isaac Francisco	464a525a5a	[partner]: minor change to embeddings for Ollama (#24521 )	2 months ago
Aayush Kataria	0f45ac4088	LangChain Community: VectorStores: Azure Cosmos DB Filtered Vector Search (#24087 ) Thank you for contributing to LangChain! - This PR adds vector search filtering for Azure Cosmos DB Mongo vCore and NoSQL. - [ ] 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.	2 months ago
Gareth	ac41c97d21	pinecone: Add embedding Inference Support (#24515 ) Description Add support for Pinecone hosted embedding models as `PineconeEmbeddings`. Replacement for #22890 Dependencies Add `aiohttp` to support async embeddings call against REST directly - [x] Add tests and docs: If you're adding a new integration, please include Added `docs/docs/integrations/text_embedding/pinecone.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/ Twitter: `gdjdg17` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
ccurme	2d6b0bf3e3	core[patch]: add to RunnableLambda docstring (#24575 ) Explain behavior when function returns a runnable.	2 months ago
Carlos André Antunes	325068bb53	community: Fix azure_openai.py (#24572 ) 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 - [ 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
Nik Jmaeff	6878bc39b5	langchain: fix TrajectoryEvalChain.prep_inputs (#19959 ) The previous implementation would never be called. 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. --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Bagatur	55e66aa40c	langchain[patch]: init_chat_model support ChatBedrockConverse (#24564 )	2 months ago
Bagatur	9b7db08184	experimental[patch]: Release 0.0.63 (#24563 )	2 months ago
Bagatur	8691a5a37f	community[patch]: Release 0.2.10 (#24560 )	2 months ago
Bagatur	4919d5d6df	langchain[patch]: Release 0.2.11 (#24559 )	2 months ago
Bagatur	918e1c8a93	core[patch]: Release 0.2.23 (#24557 )	2 months ago
Leonid Ganeline	e787532479	langchain: `globals` fix (#21281 ) Issue: functions from `globals`, like the `get_debug` are placed in the init.py file. As a result, they don't listed in the API Reference docs. [See this](https://langchain-9jq1kef7i-langchain.vercel.app/v0.2/docs/how_to/debugging/#set_debugtrue) and [broken this](https://api.python.langchain.com/en/latest/globals/langchain.globals.set_debug.html). Change: moved code from init.py into the `globals.py` file and removed `globals` directory. Similar to: #21266 BTW `globals` in core implemented exactly inside a file not inside a folder.	2 months ago
Ben Chambers	e80b0932ee	community[patch]: small fixes to link extractors (#24528 ) - Description: small fixes to imports / types in the link extraction work --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Morteza Hosseini	9e06991aae	community[patch]: Update URL to the 2markdown API (#24546 ) Update the URL to Markdown endpoint. API information is available here: https://2markdown.com/docs#url2md	2 months ago
ZhangShenao	a14e02ab33	core[patch]: Fix word spelling error in `globals.py` (#24532 ) Fix word spelling error in `globals.py` Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
maang-h	378db2e1a5	docs: Add RedisChatMessageHistory docstrings (#24548 ) - Description: Add `RedisChatMessageHistory ` rich docstrings. - Issue: the issue #21983 Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
ccurme	a197a8e184	openai[patch]: move test (#24552 ) No-override tests (https://github.com/langchain-ai/langchain/pull/24407) include a condition that integrations not implement additional tests.	2 months ago
Eugene Yurtsev	f47b4edcc2	standard-test: Fix typo in skipif for chat model integration tests (#24553 )	2 months ago
Eugene Yurtsev	20b72a044c	standard-tests: Add BaseModel variations tests to with_structured_output (#24527 ) After this standard tests will test with the following combinations: 1. pydantic.BaseModel 2. pydantic.v1.BaseModel If ran within a matrix, it'll covert both pydantic.BaseModel originating from pydantic 1 and the one defined in pydantic 2.	2 months ago
Bagatur	70c71efcab	core[patch]: merge_content fix (#24526 )	2 months ago
Ben Chambers	a5a3d28776	community[patch]: Remove targets_table from C* GraphVectorStore (#24502 ) - Description: Remove the unnecessary `targets_table` parameter	2 months ago
Alexander Golodkov	2a70a07aad	community[minor]: added new document loaders based on dedoc library (#24303 ) ### Description This pull request added new document loaders to load documents of various formats using [Dedoc](https://github.com/ispras/dedoc): - `DedocFileLoader` (determine file types automatically and parse) - `DedocPDFLoader` (for `PDF` and images parsing) - `DedocAPIFileLoader` (determine file types automatically and parse using Dedoc API without library installation) [Dedoc](https://dedoc.readthedocs.io) is an open-source library/service that extracts texts, tables, attached files and document structure (e.g., titles, list items, etc.) from files of various formats. The library is actively developed and maintained by a group of developers. `Dedoc` supports `DOCX`, `XLSX`, `PPTX`, `EML`, `HTML`, `PDF`, images and more. Full list of supported formats can be found [here](https://dedoc.readthedocs.io/en/latest/#id1). For `PDF` documents, `Dedoc` allows to determine textual layer correctness and split the document into paragraphs. ### Issue This pull request extends variety of document loaders supported by `langchain_community` allowing users to choose the most suitable option for raw documents parsing. ### Dependencies The PR added a new (optional) dependency `dedoc>=2.2.5` ([library documentation](https://dedoc.readthedocs.io)) to the `extended_testing_deps.txt` ### Twitter handle None ### Add tests and docs 1. Test for the integration: `libs/community/tests/integration_tests/document_loaders/test_dedoc.py` 2. Example notebook: `docs/docs/integrations/document_loaders/dedoc.ipynb` 3. Information about the library: `docs/docs/integrations/providers/dedoc.mdx` ### Lint and test Done locally: - `make format` - `make lint` - `make integration_tests` - `make docs_build` (from the project root) --------- Co-authored-by: Nasty <bogatenkova.anastasiya@mail.ru>	2 months ago
Ben Chambers	5ac936a284	community[minor]: add document transformer for extracting links (#24186 ) - Description: Add a DocumentTransformer for executing one or more `LinkExtractor`s and adding the extracted links to each document. - Issue: n/a - Depedencies: none --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	2 months ago
Erick Friis	2c6b9e8771	standard-tests: add override check (#24407 )	2 months ago
Nithish Raghunandanan	1639ccfd15	couchbase: [patch] Return chat message history in order (#24498 ) Description: Fixes an issue where the chat message history was not returned in order. Fixed it now by returning based on timestamps. - [x] Add tests and docs: Updated the tests to check the order 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	3dce2e1d35	all: add release notes to pypi (#24519 )	2 months ago
Bagatur	8a140ee77c	core[patch]: don't serialize BasePromptTemplate.input_types (#24516 ) Candidate fix for #24513	2 months ago
MarkYQJ	df357f82ca	ignore the first turn to apply "history" mechanism (#14118 ) This will generate a meaningless string "system: " for generating condense question; this increases the probability to make an improper condense question and misunderstand user's question. Below is a case - Original Question: Can you explain the arguments of Meilisearch? - Condense Question - What are the benefits of using Meilisearch? (by CodeLlama) - What are the reasons for using Meilisearch? (by GPT-4) The condense questions (not matter from CodeLlam or GPT-4) are different from the original one. By checking the content of each dialogue turn, generating history string only when the dialog content is not empty. Since there is nothing before first turn, the "history" mechanism will be ignored at the very first turn. Doing so, the condense question will be "What are the arguments for using Meilisearch?". <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` 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> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Bagatur	236e957abb	core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417 ) After this PR chat models will correctly handle pydantic 2 with bind_tools and with_structured_output. ```python import pydantic print(pydantic.__version__) ``` 2.8.2 ```python from langchain_openai import ChatOpenAI from pydantic import BaseModel, Field class Add(BaseModel): x: int y: int model = ChatOpenAI().bind_tools([Add]) print(model.invoke('2 + 5').tool_calls) model = ChatOpenAI().with_structured_output(Add) print(type(model.invoke('2 + 5'))) ``` ``` [{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_PNUFa4pdfNOYXxIMHc6ps2Do', 'type': 'tool_call'}] <class '__main__.Add'> ``` ```python from langchain_openai import ChatOpenAI from pydantic.v1 import BaseModel, Field class Add(BaseModel): x: int y: int model = ChatOpenAI().bind_tools([Add]) print(model.invoke('2 + 5').tool_calls) model = ChatOpenAI().with_structured_output(Add) print(type(model.invoke('2 + 5'))) ``` ```python [{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_hhiHYP441cp14TtrHKx3Upg0', 'type': 'tool_call'}] <class '__main__.Add'> ``` Addresses issues: https://github.com/langchain-ai/langchain/issues/22782 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Naka Masato	884f76e05a	fix: load google credentials properly in GoogleDriveLoader (#12871 ) - Description: - Fix #12870: set scope in `default` func (ref: https://google-auth.readthedocs.io/en/master/reference/google.auth.html) - Moved the code to load default credentials to the bottom for clarity of the logic - Add docstring and comment for each credential loading logic - Issue: https://github.com/langchain-ai/langchain/issues/12870 - Dependencies: no dependencies change - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: @gymnstcs <!-- If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Erick Friis	a45337ea07	ollama: release 0.1.0 (#24510 )	2 months ago
Isaac Francisco	1318d534af	[docs]: minor react change (#24509 )	2 months ago
Jorge Piedrahita Ortiz	10e3982b59	community: sambanova integration minor changes (#24503 ) - Minor changes in samabanova llm integration - default api - docstrings - minor changes in docs	2 months ago
maang-h	721f709dec	community: Improve QianfanChatEndpoint tool result to model (#24466 ) - Description: `QianfanChatEndpoint` When using tool result to answer questions, the content of the tool is required to be in Dict format. Of course, this can require users to return Dict format when calling the tool, but in order to be consistent with other Chat Models, I think such modifications are necessary.	2 months ago
ccurme	dcba7df2fe	community[patch]: deprecate langchain_community Chroma in favor of langchain_chroma (#24474 )	2 months ago
ccurme	0f7569ddbc	core[patch]: enable RunnableWithMessageHistory without config (#23775 ) Feedback that `RunnableWithMessageHistory` is unwieldy compared to ConversationChain and similar legacy abstractions is common. Legacy chains using memory typically had no explicit notion of threads or separate sessions. To use `RunnableWithMessageHistory`, users are forced to introduce this concept into their code. This possibly felt like unnecessary boilerplate. Here we enable `RunnableWithMessageHistory` to run without a config if the `get_session_history` callable has no arguments. This enables minimal implementations like the following: ```python from langchain_core.chat_history import InMemoryChatMessageHistory from langchain_core.runnables.history import RunnableWithMessageHistory from langchain_openai import ChatOpenAI llm = ChatOpenAI(model="gpt-3.5-turbo-0125") memory = InMemoryChatMessageHistory() chain = RunnableWithMessageHistory(llm, lambda: memory) chain.invoke("Hi I'm Bob") # Hello Bob! chain.invoke("What is my name?") # Your name is Bob. ```	2 months ago
Mohammad Mohtashim	5ade0187d0	[Commutiy]: Prompts Fixed for ZERO_SHOT_REACT React Agent Type in `create_sql_agent` function (#23693 ) - Description: The correct Prompts for ZERO_SHOT_REACT were not being used in the `create_sql_agent` function. They were not using the specific `SQL_PREFIX` and `SQL_SUFFIX` prompts if client does not provide any prompts. This is fixed. - Issue: #23585 --------- Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
ZhangShenao	0f6737cbfe	[Vector Store] Fix function `add_texts` in `TencentVectorDB` (#24469 ) Regardless of whether `embedding_func` is set or not, the 'text' attribute of document should be assigned, otherwise the `page_content` in the document of the final search result will be lost	2 months ago
남광우	7ab82eb8cc	langchain: Copy libs/standard-tests folder when building devcontainer (#24470 ) ### Description * Fix `libs/langchain/dev.Dockerfile` file. copy the `libs/standard-tests` folder when building the devcontainer. * `poetry install --no-interaction --no-ansi --with dev,test,docs` command requires this folder, but it was not copied. ### Reference #### Error message when building the devcontainer from the master branch ``` ... [2024-07-20T14:27:34.779Z] ------ > [langchain langchain-dev-dependencies 7/7] RUN poetry install --no-interaction --no-ansi --with dev,test,docs: 0.409 0.409 Directory ../standard-tests does not exist ------ ... ``` #### After the fix Build success at vscode: <img width="866" alt="image" src="https://github.com/user-attachments/assets/10db1b50-6fcf-4dfe-83e1-d93c96aa2317">	2 months ago
Thomas Meike	40c02cedaf	langchain[patch]: add async methods to ConversationSummaryBufferMemory (#20956 ) Added asynchronously callable methods according to the ConversationSummaryBufferMemory API documentation. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Sheng Han Lim	0c6a3fdd6b	langchain: Update ContextualCompressionRetriever base_retriever type to RetrieverLike (#24192 ) Description: When initializing retrievers with `configurable_fields` as base retriever, `ContextualCompressionRetriever` validation fails with the following error: ``` ValidationError: 1 validation error for ContextualCompressionRetriever base_retriever Can't instantiate abstract class BaseRetriever with abstract method _get_relevant_documents (type=type_error) ``` Example code: ```python esearch_retriever = VertexAISearchRetriever( project_id=GCP_PROJECT_ID, location_id="global", data_store_id=SEARCH_ENGINE_ID, ).configurable_fields( filter=ConfigurableField(id="vertex_search_filter", name="Vertex Search Filter") ) # rerank documents with Vertex AI Rank API reranker = VertexAIRank( project_id=GCP_PROJECT_ID, location_id=GCP_REGION, ranking_config="default_ranking_config", ) retriever_with_reranker = ContextualCompressionRetriever( base_compressor=reranker, base_retriever=esearch_retriever ) ``` It seems like the issue stems from ContextualCompressionRetriever insisting that base retrievers must be strictly `BaseRetriever` inherited, and doesn't take into account cases where retrievers need to be chained and can have configurable fields defined. `0a1e475a30/libs/langchain/langchain/retrievers/contextual_compression.py (L15-L22)` This PR proposes that the base_retriever type be set to `RetrieverLike`, similar to how `EnsembleRetriever` validates its list of retrievers: `0a1e475a30/libs/langchain/langchain/retrievers/ensemble.py (L58-L75)`	2 months ago
clement.l	d98b830e4b	community: add flag to toggle progress bar (#24463 ) - Description: Add a flag to determine whether to show progress bar - Issue: n/a - Dependencies: n/a - Twitter handle: n/a --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
chuanbei888	6b08a33fa4	community: fix QianfanChatEndpoint default model (#24464 ) the baidu_qianfan_endpoint has been changed from ERNIE-Bot-turbo to ERNIE-Lite-8K	2 months ago
Nuno Campos	947628311b	core[patch]: Accept configurable keys top-level (#23806 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Jesus Martinez	c1d1fc13c2	langchain[patch]: Remove multiagent return_direct validation (#24419 ) Description: When you use Agents with multi-input tool and some of these tools have `return_direct=True`, langchain thrown an error related to one validator. This change is implemented on [JS community](https://github.com/langchain-ai/langchainjs/pull/4643) as well Issue: This MR resolves #19843 Dependencies: None Co-authored-by: Jesus Martinez <jesusabraham.martinez@tyson.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Will Badart	74e3d796f1	core[patch]: ensure `iterator_` in scope for `_atransform_stream_with_config` except (#24454 ) Before, if an exception was raised in the outer `try` block in `Runnable._atransform_stream_with_config` before `iterator_` is assigned, the corresponding `finally` block would blow up with an `UnboundLocalError`: ```txt UnboundLocalError: cannot access local variable 'iterator_' where it is not associated with a value ``` By assigning an initial value to `iterator_` before entering the `try` block, this commit ensures that the `finally` can run, and not bury the "true" exception under a "During handling of the above exception [...]" traceback. Thanks for your consideration!	2 months ago
maang-h	7b28359719	docs: Add ChatSparkLLM docstrings (#24449 ) - Description: - Add `ChatSparkLLM` docstrings, the issue #22296 - To support `stream` method	2 months ago
Eugene Yurtsev	5e48f35fba	core[minor]: Relax constraints on type checking for tools and parsers (#24459 ) This will allow tools and parsers to accept pydantic models from any of the following namespaces: * pydantic.BaseModel with pydantic 1 * pydantic.BaseModel with pydantic 2 * pydantic.v1.BaseModel with pydantic 2	2 months ago
Isaac Francisco	838464de25	ollama: init package (#23615 ) Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	f4ee3c8a22	infra: add min version testing to pr test flow (#24358 ) xfailing some sql tests that do not currently work on sqlalchemy v1 #22207 was very much not sqlalchemy v1 compatible. Moving forward, implementations should be compatible with both to pass CI	2 months ago
Bagatur	842065a9cc	community[patch]: Release 0.2.9 (#24453 )	2 months ago

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5338 Commits (34da8be60b6afe2544bb7e45ead0a4fe43bdf75a)