4648 Commits (9ac302cb97cbf9392ab8c37309873b069e277176)

Author	SHA1	Message	Date
Bagatur	9ff249a38d	standard-tests[patch]: don't require str chunk contents (#22965)	3 months ago
Christopher Tee	ada03dd273	community(you): Better support for You.com News API (#22622) ... ## Description While `YouRetriever` supports both You.com's Search and News APIs, news is supported as an afterthought. More specifically, not all of the News API parameters are exposed for the user, only those that happen to overlap with the Search API. This PR: - improves support for both APIs, exposing the remaining News API parameters while retaining backward compatibility - refactor some REST parameter generation logic - updates the docstring of `YouSearchAPIWrapper` - add input validation and warnings to ensure parameters are properly set by user - 🚨 Breaking: Limit the news results to `k` items If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	3 months ago
Tomaz Bratanic	1c661fd849	Improve llm graph transformer docstring (#22939)	3 months ago
maang-h	7a0af56177	docs: update ZhipuAI ChatModel docstring (#22934) ... - **Description:** Update ZhipuAI ChatModel rich docstring - **Issue:** the issue #22296	3 months ago
Bitmonkey	570d45b2a1	Update ollama.py with optional raw setting. (#21486) ... Ollama has a raw option now. https://github.com/ollama/ollama/blob/main/docs/api.md 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: isaac hershenson <ihershenson@hmc.edu>	3 months ago
caiyueliang	9944ad7f5f	community: 'Solve the issue where the _search function in ElasticsearchStore supports passing a query_vector parameter, but the parameter does not take effect. (#21532) ... **Issue:** When using the similarity_search_with_score function in ElasticsearchStore, I expected to pass in the query_vector that I have already obtained. I noticed that the _search function does support the query_vector parameter, but it seems to be ineffective. I am attempting to resolve this issue. Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Erick Friis	c374c98389	experimental: release 0.0.61 (#22924)	3 months ago
BuxianChen	af65cac609	cli[minor]: remove redefined DEFAULT_GIT_REF (#21471) ... remove redefined DEFAULT_GIT_REF Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com>	3 months ago
Erick Friis	79a64207f5	community: release 0.2.5 (#22923)	3 months ago
Jiejun Tan	c8c67dde6f	text-splitters[patch]: Fix HTMLSectionSplitter (#22812) ... Update former pull request: https://github.com/langchain-ai/langchain/pull/22654. Modified `langchain_text_splitters.HTMLSectionSplitter`, where in the latest version `dict` data structure is used to store sections from a html document, in function `split_html_by_headers`. The header/section element names serve as dict keys. This can be a problem when duplicate header/section element names are present in a single html document. Latter ones can replace former ones with the same name. Therefore some contents can be miss after html text splitting is conducted. Using a list to store sections can hopefully solve the problem. A Unit test considering duplicate header names has been added. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Erick Friis	fbeeb6da75	langchain: release 0.2.5 (#22922)	3 months ago
Baskar Gopinath	c4f2bc9540	docs: Fix wrongly referenced class name in confluence.py (#22879) ... Fixes #22542 Changed ConfluenceReader to ConfluenceLoader	3 months ago
Erick Friis	9ef15691d6	core: release 0.2.7 (#22917)	3 months ago
Nuno Campos	338180f383	core: in astream_events v2 always await task even if already finished (#22916) ... - this ensures exceptions propagate to the caller	3 months ago
Istvan/Nebulinq	513e491ce9	experimental: LLMGraphTransformer - added relationship properties. (#21856) ... - **Description:** The generated relationships in the graph had no properties, but the Relationship class was properly defined with properties. This made it very difficult to transform conditional sentences into a graph. Adding properties to relationships can solve this issue elegantly. The changes expand on the existing LLMGraphTransformer implementation but add the possibility to define allowed relationship properties like this: LLMGraphTransformer(llm=llm, relationship_properties=["Condition", "Time"],) - **Issue:** no issue found - **Dependencies:** n/a - **Twitter handle:** @IstvanSpace -Quick Test ================================================================= from dotenv import load_dotenv import os from langchain_community.graphs import Neo4jGraph from langchain_experimental.graph_transformers import LLMGraphTransformer from langchain_openai import ChatOpenAI from langchain_core.prompts import ChatPromptTemplate from langchain_core.documents import Document load_dotenv() os.environ["NEO4J_URI"] = os.getenv("NEO4J_URI") os.environ["NEO4J_USERNAME"] = os.getenv("NEO4J_USERNAME") os.environ["NEO4J_PASSWORD"] = os.getenv("NEO4J_PASSWORD") graph = Neo4jGraph() llm = ChatOpenAI(temperature=0, model_name="gpt-4o") llm_transformer = LLMGraphTransformer(llm=llm) #text = "Harry potter likes pies, but only if it rains outside" text = "Jack has a dog named Max. Jack only walks Max if it is sunny outside." documents = [Document(page_content=text)] llm_transformer_props = LLMGraphTransformer( llm=llm, relationship_properties=["Condition"], ) graph_documents_props = llm_transformer_props.convert_to_graph_documents(documents) print(f"Nodes:{graph_documents_props[0].nodes}") print(f"Relationships:{graph_documents_props[0].relationships}") graph.add_graph_documents(graph_documents_props) --------- Co-authored-by: Istvan Lorincz <istvan.lorincz@pm.me> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
kiarina	8171efd07a	core[patch]: Fix FunctionCallbackHandler._on_tool_end (#22908) ... If the global `debug` flag is enabled, the agent will get the following error in `FunctionCallbackHandler._on_tool_end` at runtime. ``` Error in ConsoleCallbackHandler.on_tool_end callback: AttributeError("'list' object has no attribute 'strip'") ``` By calling str() before strip(), the error was avoided. This error can be seen at [debugging.ipynb](https://github.com/langchain-ai/langchain/blob/master/docs/docs/how_to/debugging.ipynb). - Issue: NA - Dependencies: NA - Twitter handle: https://x.com/kiarina37	3 months ago
Philippe PRADOS	b61de9728e	community[minor]: Fix long_context_reorder.py async (#22839) ... Implement `async def atransform_documents( self, documents: Sequence[Document], **kwargs: Any ) -> Sequence[Document]` for `LongContextReorder`	3 months ago
Eugene Yurtsev	c72bcda4f2	community[major], experimental[patch]: Remove Python REPL from community (#22904) ... Remove the REPL from community, and suggest an alternative import from langchain_experimental. Fix for this issue: https://github.com/langchain-ai/langchain/issues/14345 This is not a bug in the code or an actual security risk. The python REPL itself is behaving as expected. The PR is done to appease blanket security policies that are just looking for the presence of exec in the code. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Eugene Yurtsev	9a877c7adb	community[patch]: SitemapLoader restrict depth of parsing sitemap (CVE-2024-2965) (#22903) ... This PR restricts the depth to which the sitemap can be parsed. Fix for: CVE-2024-2965	3 months ago
Eugene Yurtsev	4a77a3ab19	core[patch]: fix validation of @deprecated decorator (#22513) ... This PR moves the validation of the decorator to a better place to avoid creating bugs while deprecating code. Prevent issues like this from arising: https://github.com/langchain-ai/langchain/issues/22510 we should replace with a linter at some point that just does static analysis	3 months ago
Jacob Lee	181a61982f	anthropic[minor]: Adds streaming tool call support for Anthropic (#22687) ... Preserves string content chunks for non tool call requests for convenience. One thing - Anthropic events look like this: ``` RawContentBlockStartEvent(content_block=TextBlock(text='', type='text'), index=0, type='content_block_start') RawContentBlockDeltaEvent(delta=TextDelta(text='<thinking>\nThe', type='text_delta'), index=0, type='content_block_delta') RawContentBlockDeltaEvent(delta=TextDelta(text=' provide', type='text_delta'), index=0, type='content_block_delta') ... RawContentBlockStartEvent(content_block=ToolUseBlock(id='toolu_01GJ6x2ddcMG3psDNNe4eDqb', input={}, name='get_weather', type='tool_use'), index=1, type='content_block_start') RawContentBlockDeltaEvent(delta=InputJsonDelta(partial_json='', type='input_json_delta'), index=1, type='content_block_delta') ``` Note that `delta` has a `type` field. With this implementation, I'm dropping it because `merge_list` behavior will concatenate strings. We currently have `index` as a special field when merging lists, would it be worth adding `type` too? If so, what do we set as a context block chunk? `text` vs. `text_delta`/`tool_use` vs `input_json_delta`? CC @ccurme @efriis @baskaryan	3 months ago
ccurme	f40b2c6f9d	fireworks[patch]: add usage_metadata to (a)invoke and (a)stream (#22906)	3 months ago
Mohammad Mohtashim	d1b7a934aa	[Community]: HuggingFaceCrossEncoder `score` accounting for <not-relevant score,relevant score> pairs. (#22578) ... - **Description:** Some of the Cross-Encoder models provide scores in pairs, i.e., <not-relevant score (higher means the document is less relevant to the query), relevant score (higher means the document is more relevant to the query)>. However, the `HuggingFaceCrossEncoder` `score` method does not currently take into account the pair situation. This PR addresses this issue by modifying the method to consider only the relevant score if score is being provided in pair. The reason for focusing on the relevant score is that the compressors select the top-n documents based on relevance. - **Issue:** #22556 - Please also refer to this [comment](https://github.com/UKPLab/sentence-transformers/issues/568#issuecomment-729153075)	3 months ago
Thanh Nguyen	b5e2ba3a47	community[minor]: add chat model llamacpp (#22589) ... - **PR title**: [community] add chat model llamacpp - **PR message**: - **Description:** This PR introduces a new chat model integration with llamacpp_python, designed to work similarly to the existing ChatOpenAI model. + Work well with instructed chat, chain and function/tool calling. + Work with LangGraph (persistent memory, tool calling), will update soon - **Dependencies:** This change requires the llamacpp_python library to be installed. @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
ccurme	73c76b9628	anthropic[patch]: always add tool_result type to ToolMessage content (#22721) ... Anthropic tool results can contain image data, which are typically represented with content blocks having `"type": "image"`. Currently, these content blocks are passed as-is as human/user messages to Anthropic, which raises BadRequestError as it expects a tool_result block to follow a tool_use. Here we update ChatAnthropic to nest the content blocks inside a tool_result content block. Example: ```python import base64 import httpx from langchain_anthropic import ChatAnthropic from langchain_core.messages import AIMessage, HumanMessage, ToolMessage from langchain_core.pydantic_v1 import BaseModel, Field # Fetch image image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg" image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8") class FetchImage(BaseModel): should_fetch: bool = Field(..., description="Whether an image is requested.") llm = ChatAnthropic(model="claude-3-sonnet-20240229").bind_tools([FetchImage]) messages = [ HumanMessage(content="Could you summon a beautiful image please?"), AIMessage( content=[ { "type": "tool_use", "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx", "name": "FetchImage", "input": {"should_fetch": True}, }, ], tool_calls=[ { "name": "FetchImage", "args": {"should_fetch": True}, "id": "toolu_01Rn6Qvj5m7955x9m9Pfxbcx", }, ], ), ToolMessage( name="FetchImage", content=[ { "type": "image", "source": { "type": "base64", "media_type": "image/jpeg", "data": image_data, }, }, ], tool_call_id="toolu_01Rn6Qvj5m7955x9m9Pfxbcx", ), ] llm.invoke(messages) ``` Trace: https://smith.langchain.com/public/d27e4fc1-a96d-41e1-9f52-54f5004122db/r	3 months ago
Lucas Tucker	7114aed78f	docs: Standardize ChatGroq (#22751) ... Updated ChatGroq doc string as per issue https://github.com/langchain-ai/langchain/issues/22296:"langchain_groq: updated docstring for ChatGroq in langchain_groq to match that of the description (in the appendix) provided in issue https://github.com/langchain-ai/langchain/issues/22296. " Issue: This PR is in response to issue https://github.com/langchain-ai/langchain/issues/22296, and more specifically the ChatGroq model. In particular, this PR updates the docstring for langchain/libs/partners/groq/langchain_groq/chat_model.py by adding the following sections: Instantiate, Invoke, Stream, Async, Tool calling, Structured Output, and Response metadata. I used the template from the Anthropic implementation and referenced the Appendix of the original issue post. I also noted that: `usage_metadata `returns none for all ChatGroq models I tested; there is no mention of image input in the ChatGroq documentation; unlike that of ChatHuggingFace, `.stream(messages)` for ChatGroq returned blocks of output. --------- Co-authored-by: lucast2021 <lucast2021@headroyce.org> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Anush	e002c855bd	qdrant[patch]: Use collection_exists API instead of exceptions (#22764) ... ## Description Currently, the Qdrant integration relies on exceptions raised by [`get_collection` ](https://qdrant.tech/documentation/concepts/collections/#collection-info) to check if a collection exists. Using [`collection_exists`](https://qdrant.tech/documentation/concepts/collections/#check-collection-existence) is recommended to avoid missing any unhandled exceptions. This PR addresses this. ## Testing All integration and unit tests pass. No user-facing changes.	3 months ago
Anindyadeep	c417803908	community[minor]: Prem Templates (#22783) ... This PR adds the feature add Prem Template feature in ChatPremAI. Additionally it fixes a minor bug for API auth error when API passed through arguments.	3 months ago
maang-h	1055b9a309	community[minor]: Implement ZhipuAIEmbeddings interface (#22821) ... - **Description:** Implement ZhipuAIEmbeddings interface, include: - The `embed_query` method - The `embed_documents` method refer to [ZhipuAI Embedding-2](https://open.bigmodel.cn/dev/api#text_embedding) --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Leonid Ganeline	46c9784127	docs: `ReAct` reference (#22830) ... The `ReAct` is used all across LangChain but it is not referenced properly. Added references to the original paper.	3 months ago
Bagatur	8bd368d07e	cli[patch]: Release 0.0.25 (#22876)	3 months ago
Isaac Francisco	75e966a2fa	docs, cli[patch]: document loaders doc template (#22862) ... From: https://github.com/langchain-ai/langchain/pull/22290 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Kagura Chen	57783c5e55	Fix: lint errors and update Field alias in models.py and AutoSelectionScorer initialization (#22846) ... This PR addresses several lint errors in the core package of LangChain. Specifically, the following issues were fixed: 1.Unexpected keyword argument "required" for "Field" [call-arg] 2.tests/integration_tests/chains/test_cpal.py:263: error: Unexpected keyword argument "narrative_input" for "QueryModel" [call-arg]	3 months ago
Erick Friis	5bc774827b	langchain: release 0.2.4 (#22872)	3 months ago
Erick Friis	7234fd0f51	core: release 0.2.6 (#22868)	3 months ago
Jacob Lee	bcbb43480c	core[patch]: Treat type as a special field when merging lists (#22750) ... Should we even log a warning? At least for Anthropic, it's expected to get e.g. `text_block` followed by `text_delta`. @ccurme @baskaryan @efriis	3 months ago
Nuno Campos	bae82e966a	core: In astream_events v2 propagate cancel/break to the inner astream call (#22865) ... - previous behavior was for the inner astream to continue running with no interruption - also propagate break in core runnable methods	3 months ago
Eugene Yurtsev	a766815a99	experimental[patch]/docs[patch]: Update links to security docs (#22864) ... Minor update to newest version of security docs (content should be identical).	3 months ago
Eugene Yurtsev	8f7cc73817	ci: Add script to check for pickle usage in community (#22863) ... Add script to check for pickle usage in community.	3 months ago
Eugene Yurtsev	77209f315e	community[patch]: FAISS VectorStore deserializer should be opt-in (#22861) ... FAISS deserializer uses pickle module. Users have to opt-in to de-serialize.	3 months ago
Eugene Yurtsev	ce0b0f22a1	experimental[major]: Force users to opt-in into code that relies on the python repl (#22860) ... This should make it obvious that a few of the agents in langchain experimental rely on the python REPL as a tool under the hood, and will force users to opt-in.	3 months ago
Isaac Francisco	869523ad72	[docs]: added info for TavilySearchResults (#22765)	3 months ago
ccurme	42257b120f	partners: fix numpy dep (#22858) ... Following https://github.com/langchain-ai/langchain/pull/22813, which added python 3.12 to CI, here we update numpy accordingly in partner packages.	3 months ago
Isaac Francisco	345fd3a556	minor functionality change: adding API functionality to tavilysearch (#22761)	3 months ago
Isaac Francisco	034257e9bf	docs: improved recursive url loader docs (#22648) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
ccurme	b626c3ca23	groq[patch]: add usage_metadata to (a)invoke and (a)stream (#22834)	3 months ago
James Braza	45b394268c	core[patch]: allowing latest `packaging` versions (#22792) ... Allowing version 24 of https://github.com/pypa/packaging --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Karim Lalani	276be6cdd4	[experimental][llms][OllamaFunctions] tool calling related fixes (#22339) ... Fixes issues with tool calling to handle tool objects correctly. Added support to handle ToolMessage correctly. Added additional checks for error conditions. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Christophe Bornet	d04e899b56	ci: add testing with Python 3.12 (#22813) ... We need to use a different version of numpy for py3.8 and py3.12 in pyproject. And so do projects that use that Python version range and import langchain. - **Twitter handle:** _cbornet	3 months ago
HyoJin Kang	b6bf2bb234	community[patch]: fix database uri type in SQLDatabase (#22661) ... **Description** sqlalchemy uses "sqlalchemy.engine.URL" type for db uri argument. Added 'URL' type for compatibility. **Issue**: None **Dependencies:** None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Eugene Yurtsev	5dbbdcbf8e	core[patch]: Update remaining root_validators (#22829) ... This PR updates the remaining root_validators in core to either be explicit pre-init or post-init validators.	3 months ago
Eugene Yurtsev	265e650e64	community[patch]: Update root_validators embeddings: llamacpp, jina, dashscope, mosaicml, huggingface_hub, Toolkits: Connery, ChatModels: PAI_EAS, (#22828) ... This PR updates root validators for: * Embeddings: llamacpp, jina, dashscope, mosaicml, huggingface_hub * Toolkits: Connery * ChatModels: PAI_EAS Following this issue: https://github.com/langchain-ai/langchain/issues/22819	3 months ago
JonZeolla	32ba8cfab0	community[minor]: implement huggingface show_progress consistently (#22682) ... - **Description:** This implements `show_progress` more consistently (i.e. it is also added to the `HuggingFaceBgeEmbeddings` object). - **Issue:** This implements `show_progress` more consistently in the embeddings huggingface classes. Previously this could have been set via `encode_kwargs`. - **Dependencies:** None - **Twitter handle:** @jonzeolla	3 months ago
Eugene Yurtsev	74e705250f	core[patch]: update some root_validators (#22787) ... Update some of the @root_validators to be explicit pre=True or pre=False, skip_on_failure=True for pydantic 2 compatibility.	3 months ago
mrhbj	a1268d9e9a	community[patch]: fix hunyuan message include chinese signature error (#22795) (#22796) ... … (#22795) Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	3 months ago
Mr. Lance E Sloan «UMich»	08c466c603	community[patch]: bugfix for `YoutubeLoader`'s `LINES` format (#22815) ... - **Description:** A change I submitted recently introduced a bug in `YoutubeLoader`'s `LINES` output format. In those conditions, curly braces ("`{}`") creates a set, not a dictionary. This bugfix explicitly specifies that a dictionary is created. - **Issue:** N/A - **Dependencies:** N/A - **Twitter:** lsloan_umich - **Mastodon:** [lsloan@mastodon.social](https://mastodon.social/@lsloan)	3 months ago
Philippe PRADOS	23c22fcbc9	langchain[minor]: Make EmbeddingsFilters async (#22737) ... Add native async implementation for EmbeddingsFilter	3 months ago
ccurme	936aedd10c	mistral[patch]: add usage_metadata to (a)invoke and (a)stream (#22781)	3 months ago
mrhbj	9212c9fcb8	community[patch]: fix hunyuan client json analysis (#22452) (#22767) ... 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. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Rohan Aggarwal	86e8224cf1	community[patch]: Support for old clients (Thin and Thick) Oracle Vector Store (#22766) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" Support for old clients (Thin and Thick) Oracle Vector Store - [ ] **PR message**: ***Delete this entire checklist*** and replace with Support for old clients (Thin and Thick) Oracle Vector Store - [ ] **Add tests and docs**: If you're adding a new integration, please include Have our own local tests --------- Co-authored-by: rohan.aggarwal@oracle.com <rohaagga@phoenix95642.dev3sub2phx.databasede3phx.oraclevcn.com>	3 months ago
Mr. Lance E Sloan «UMich»	84dc2dd059	community[patch]: Load YouTube transcripts (captions) as fixed-duration chunks with start times (#21710) ... - **Description:** Add a new format, `CHUNKS`, to `langchain_community.document_loaders.youtube.YoutubeLoader` which creates multiple `Document` objects from YouTube video transcripts (captions), each of a fixed duration. The metadata of each chunk `Document` includes the start time of each one and a URL to that time in the video on the YouTube website. I had implemented this for UMich (@umich-its-ai) in a local module, but it makes sense to contribute this to LangChain community for all to benefit and to simplify maintenance. - **Issue:** N/A - **Dependencies:** N/A - **Twitter:** lsloan_umich - **Mastodon:** [lsloan@mastodon.social](https://mastodon.social/@lsloan) With regards to **tests and documentation**, most existing features of the `YoutubeLoader` class are not tested. Only the `YoutubeLoader.extract_video_id()` static method had a test. However, while I was waiting for this PR to be reviewed and merged, I had time to add a test for the chunking feature I've proposed in this PR. I have added an example of using chunking to the `docs/docs/integrations/document_loaders/youtube_transcript.ipynb` notebook. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Aayush Kataria	71811e0547	community[minor]: Adds a vector store for Azure Cosmos DB for NoSQL (#21676) ... This PR add supports for Azure Cosmos DB for NoSQL vector store. Summary: Description: added vector store integration for Azure Cosmos DB for NoSQL Vector Store, Dependencies: azure-cosmos dependency, Tag maintainer: @hwchase17, @baskaryan @efriis @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Mohammad Mohtashim	36cad5d25c	[Community]: Added Metadata filter support for DocumentDB Vector Store (#22777) ... - **Description:** As pointed out in this issue #22770, DocumentDB `similarity_search` does not support filtering through metadata which this PR adds by passing in the parameter `filter`. Also this PR fixes a minor Documentation error. - **Issue:** #22770 --------- Co-authored-by: Erick Friis <erickfriis@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Dmitry Stepanov	912751e268	Ollama vision support (#22734) ... **Description:** Ollama vision with messages in OpenAI-style support `{ "image_url": { "url": ... } }` **Issue:** #22460 Added flexible solution for ChatOllama to support chat messages with images. Works when you provide either `image_url` as a string or as a dict with "url" inside (like OpenAI does). So it makes available to use tuples with `ChatPromptTemplate.from_messages()` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Philippe PRADOS	0908b01cb2	langchain[minor]: Add native async implementation to LLMFilter, add concurrency to both sync and async paths (#22739) ... Thank you for contributing to LangChain! - [ ] **PR title**: "langchain: Fix chain_filter.py to be compatible with async" - [ ] **PR message**: - **Description:** chain_filter is not compatible with async. - **Twitter handle:** pprados - [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/ --------- Signed-off-by: zhangwangda <zhangwangda94@163.com> Co-authored-by: Prakul <discover.prakul@gmail.com> Co-authored-by: Lei Zhang <zhanglei@apache.org> Co-authored-by: Gin <ictgtvt@gmail.com> Co-authored-by: wangda <38549158+daziz@users.noreply.github.com> Co-authored-by: Max Mulatz <klappradla@posteo.net>	3 months ago
Jaeyeon Kim(김재연)	ce4e29ae42	community[minor]: fix redis store docstring and streamline initialization code (#22730) ... Thank you for contributing to LangChain! ### Description Fix the example in the docstring of redis store. Change the initilization logic and remove redundant check, enhance error message. ### Issue The example in docstring of how to use redis store was wrong.  ### Dependencies Nothing - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
am-kinetica	ad101adec8	community[patch]: Kinetica Integrations handled error in querying; quotes in table names; updated gpudb API (#22724) ... - [ ] **Miscellaneous updates and fixes**: - **Description:** Handled error in querying; quotes in table names; updated gpudb API - **Issue:** Threw an error with an error message difficult to understand if a query failed or returned no records - **Dependencies:** Updated GPUDB API version to `7.2.0.9` @baskaryan @hwchase17	3 months ago
Mathis Joffre	ea43f40daf	community[minor]: Add support for OVHcloud AI Endpoints Embedding (#22667) ... **Description:** Add support for [OVHcloud AI Endpoints](https://endpoints.ai.cloud.ovh.net/) Embedding models. Inspired by: https://gist.github.com/gmasse/e1f99339e161f4830df6be5d0095349a Signed-off-by: Joffref <mariusjoffre@gmail.com>	3 months ago
Erick Friis	2aaf86ddae	core: fix mustache falsy cases (#22747)	3 months ago
Eugene Yurtsev	5a7eac191a	core[patch]: Add missing type annotations (#22756) ... Add missing type annotations. The missing type annotations will raise exceptions with pydantic 2.	3 months ago
Eugene Yurtsev	05d31a2f00	community[patch]: Add missing type annotations (#22758) ... Add missing type annotations to objects in community. These missing type annotations will raise type errors in pydantic 2.	3 months ago
Naka Masato	3237909221	langchain[patch]: allow to use partial variables in create_sql_query_chain (#22688) ... - **Description:** allow to use partial variables to pass `top_k` and `table_info` - **Issue:** no - **Dependencies:** no - **Twitter handle:** @gymnstcs --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Bharat Ramanathan	2b5631a6be	community[patch]: fix `WandbTracer` to work with new "RunV2" API (#22673) ... - **Description:** This PR updates the `WandbTracer` to work with the new RunV2 API so that wandb Traces logging works correctly for new LangChain versions. Here's an example [run](https://wandb.ai/parambharat/langchain-tracing/runs/wpm99ftq) from the existing tests - **Issue:** https://github.com/wandb/wandb/issues/7762 - **Twitter handle:** @ParamBharat _If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17._	3 months ago
Oguz Vuruskaner	f0f4532579	community[patch]: fix deepinfra inference (#22680) ... This PR includes: 1. Update of default model to LLama3. 2. Handle some 400x errors with more user friendly error messages. 3. Handle user errors.	3 months ago
Lucas Tucker	cb79e80b0b	docs: standardize ChatHuggingFace (#22693) ... **Updated ChatHuggingFace doc string as per issue #22296**: "langchain_huggingface: updated docstring for ChatHuggingFace in langchain_huggingface to match that of the description (in the appendix) provided in issue #22296. " **Issue:** This PR is in response to issue #22296, and more specifically ChatHuggingFace model. In particular, this PR updates the docstring for langchain/libs/partners/hugging_face/langchain_huggingface/chat_models/huggingface.py by adding the following sections: Instantiate, Invoke, Stream, Async, Tool calling, and Response metadata. I used the template from the Anthropic implementation and referenced the Appendix of the original issue post. I also noted that: langchain_community hugging face llms do not work with langchain_huggingface's ChatHuggingFace model (at least for me); the .stream(messages) functionality of ChatHuggingFace only returned a block of response. --------- Co-authored-by: lucast2021 <lucast2021@headroyce.org> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Tomaz Bratanic	76a193decc	community[patch]: Add function response to graph cypher qa chain (#22690) ... LLMs struggle with Graph RAG, because it's different from vector RAG in a way that you don't provide the whole context, only the answer and the LLM has to believe. However, that doesn't really work a lot of the time. However, if you wrap the context as function response the accuracy is much better. btw... `union[LLMChain, Runnable]` is linting fun, that's why so many ignores	3 months ago
X-HAN	34edfe4a16	community[minor]: add Volcengine Rerank (#22700) ... **Description:** this PR adds Volcengine Rerank capability to Langchain, you can find Volcengine Rerank API from [here](https://www.volcengine.com/docs/84313/1254474) & [here](https://www.volcengine.com/docs/84313/1254605). [Volcengine](https://www.volcengine.com/) is a cloud service platform developed by ByteDance, the parent company of TikTok. You can obtain Volcengine API AK/SK from [here](https://www.volcengine.com/docs/84313/1254553). **Dependencies:** VolcengineRerank depends on `volcengine` python package. **Twitter handle:** my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thank you! **Tests and docs** 1. integration test: `test_volcengine_rerank.py` 2. example notebook: `volcengine_rerank.ipynb` **Lint and test**: I have run `make format`, `make lint` and `make test` from the root of the package I've modified.	3 months ago
Mohammad Mohtashim	c3cce98d86	community[patch]: Small Fix in OutlookMessageLoader (Close the Message once Open) (#22744) ... - **Description:** A very small fix where we close the message when it opened - **Issue:** #22729	3 months ago
ccurme	f9fdca6cc2	openai: add `parallel_tool_calls` to api ref (#22746) ... 	3 months ago
Max Mulatz	058a64c563	Community[minor]: Add language parser for Elixir (#22742) ... Hi 👋 First off, thanks a ton for your work on this 💚 Really appreciate what you're providing here for the community. ## Description This PR adds a basic language parser for the [Elixir](https://elixir-lang.org/) programming language. The parser code is based upon the approach outlined in https://github.com/langchain-ai/langchain/pull/13318: it's using `tree-sitter` under the hood and aligns with all the other `tree-sitter` based parses added that PR. The `CHUNK_QUERY` I'm using here is probably not the most sophisticated one, but it worked for my application. It's a starting point to provide "core" parsing support for Elixir in LangChain. It enables people to use the language parser out in real world applications which may then lead to further tweaking of the queries. I consider this PR just the ground work. - **Dependencies:** requires `tree-sitter` and `tree-sitter-languages` from the extended dependencies - **Twitter handle:**`@bitcrowd` ## Checklist - [x] **PR title**: "package: description" - [x] **Add tests and docs** - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. -->	3 months ago
Philippe PRADOS	2d4689d721	langchain[minor]: Add pgvector to list of supported vectorstores in self query retriever (#22678) ... The fact that we outsourced pgvector to another project has an unintended effect. The mapping dictionary found by `_get_builtin_translator()` cannot recognize the new version of pgvector because it comes from another package. `SelfQueryRetriever` no longer knows `PGVector`. I propose to fix this by creating a global dictionary that can be populated by various database implementations. Thus, importing `langchain_postgres` will allow the registration of the `PGvector` mapping. But for the moment I'm just adding a lazy import Furthermore, the implementation of _get_builtin_translator() reconstructs the BUILTIN_TRANSLATORS variable with each invocation, which is not very efficient. A global map would be an optimization. - **Twitter handle:** pprados @eyurtsev, can you review this PR? And unlock the PR [Add async mode for pgvector](https://github.com/langchain-ai/langchain-postgres/pull/32) and PR [community[minor]: Add SQL storage implementation](https://github.com/langchain-ai/langchain/pull/22207)? Are you in favour of a global dictionary-based implementation of Translator?	3 months ago
Enzo Poggio	8f019e91d7	community[patch]: Use Custom Logger Instead of Root Logger in get_user_agent Function (#22691) ... ## Description This PR addresses a logging inconsistency in the `get_user_agent` function. Previously, the function was using the root logger to log a warning message when the "USER_AGENT" environment variable was not set. This bypassed the custom logger `log` that was created at the start of the module, leading to potential inconsistencies in logging behavior. Changes: - Replaced `logging.warning` with `log.warning` in the `get_user_agent` function to ensure that the custom logger is used. This change ensures that all logging in the `get_user_agent` function respects the configurations of the custom logger, leading to more consistent and predictable logging behavior. ## Dependencies None ## Issue None ## Tests and docs ☝🏻 see description ## `make format`, `make lint` & `cd libs/community; make test` ```shell > make format poetry run ruff format docs templates cookbook 1417 files left unchanged poetry run ruff check --select I --fix docs templates cookbook All checks passed! ``` ```shell > make lint poetry run ruff check docs templates cookbook All checks passed! poetry run ruff format docs templates cookbook --diff 1417 files already formatted poetry run ruff check --select I docs templates cookbook All checks passed! git grep 'from langchain import' docs/docs templates cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0 ``` ~cd libs/community; make test~ too much dependencies for integration ... ```shell > poetry run pytest tests/unit_tests .... ==== 884 passed, 466 skipped, 4447 warnings in 15.93s ==== ``` I choose you randomly : @ccurme	3 months ago
Philippe PRADOS	9aabb446c5	community[minor]: Add SQL storage implementation (#22207) ... Hello @eyurtsev - package: langchain-comminity - **Description**: Add SQL implementation for docstore. A new implementation, in line with my other PR ([async PGVector](https://github.com/langchain-ai/langchain-postgres/pull/32), [SQLChatMessageMemory](https://github.com/langchain-ai/langchain/pull/22065)) - Twitter handler: pprados --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Piotr Mardziel <piotrm@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Nithish Raghunandanan	f2f0e0e13d	couchbase: Add the initial version of Couchbase partner package (#22087) ... Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Cahid Arda Öz	6c07eb0c12	community[minor]: Add UpstashRatelimitHandler (#21885) ... Adding `UpstashRatelimitHandler` callback for rate limiting based on number of chain invocations or LLM token usage. For more details, see [upstash/ratelimit-py repository](https://github.com/upstash/ratelimit-py) or the notebook guide included in this PR. Twitter handle: @cahidarda --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Erick Friis	9e03864d64	core: add error message for non-structured llm to StructuredPrompt (#22684) ... previously was the blank `NotImplementedError` from `BaseLanguageModel.with_structured_output`	3 months ago
ccurme	f32d57f6f0	anthropic: refactor streaming to use events api; add streaming usage metadata (#22628) ... - Refactor streaming to use raw events; - Add `stream_usage` class attribute and kwarg to stream methods that, if True, will include separate chunks in the stream containing usage metadata. There are two ways to implement streaming with anthropic's python sdk. They have slight differences in how they surface usage metadata. 1. [Use helper functions](https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#streaming-helpers). This is what we are doing now. ```python count = 1 with client.messages.stream(**params) as stream: for text in stream.text_stream: snapshot = stream.current_message_snapshot print(f"{count}: {snapshot.usage} -- {text}") count = count + 1 final_snapshot = stream.get_final_message() print(f"{count}: {final_snapshot.usage}") ``` ``` 1: Usage(input_tokens=8, output_tokens=1) -- Hello 2: Usage(input_tokens=8, output_tokens=1) -- ! 3: Usage(input_tokens=8, output_tokens=1) -- How 4: Usage(input_tokens=8, output_tokens=1) -- can 5: Usage(input_tokens=8, output_tokens=1) -- I 6: Usage(input_tokens=8, output_tokens=1) -- assist 7: Usage(input_tokens=8, output_tokens=1) -- you 8: Usage(input_tokens=8, output_tokens=1) -- today 9: Usage(input_tokens=8, output_tokens=1) -- ? 10: Usage(input_tokens=8, output_tokens=12) ``` To do this correctly, we need to emit a new chunk at the end of the stream containing the usage metadata. 2. [Handle raw events](https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#streaming-responses) ```python stream = client.messages.create(**params, stream=True) count = 1 for event in stream: print(f"{count}: {event}") count = count + 1 ``` ``` 1: RawMessageStartEvent(message=Message(id='msg_01Vdyov2kADZTXqSKkfNJXcS', content=[], model='claude-3-haiku-20240307', role='assistant', stop_reason=None, stop_sequence=None, type='message', usage=Usage(input_tokens=8, output_tokens=1)), type='message_start') 2: RawContentBlockStartEvent(content_block=TextBlock(text='', type='text'), index=0, type='content_block_start') 3: RawContentBlockDeltaEvent(delta=TextDelta(text='Hello', type='text_delta'), index=0, type='content_block_delta') 4: RawContentBlockDeltaEvent(delta=TextDelta(text='!', type='text_delta'), index=0, type='content_block_delta') 5: RawContentBlockDeltaEvent(delta=TextDelta(text=' How', type='text_delta'), index=0, type='content_block_delta') 6: RawContentBlockDeltaEvent(delta=TextDelta(text=' can', type='text_delta'), index=0, type='content_block_delta') 7: RawContentBlockDeltaEvent(delta=TextDelta(text=' I', type='text_delta'), index=0, type='content_block_delta') 8: RawContentBlockDeltaEvent(delta=TextDelta(text=' assist', type='text_delta'), index=0, type='content_block_delta') 9: RawContentBlockDeltaEvent(delta=TextDelta(text=' you', type='text_delta'), index=0, type='content_block_delta') 10: RawContentBlockDeltaEvent(delta=TextDelta(text=' today', type='text_delta'), index=0, type='content_block_delta') 11: RawContentBlockDeltaEvent(delta=TextDelta(text='?', type='text_delta'), index=0, type='content_block_delta') 12: RawContentBlockStopEvent(index=0, type='content_block_stop') 13: RawMessageDeltaEvent(delta=Delta(stop_reason='end_turn', stop_sequence=None), type='message_delta', usage=MessageDeltaUsage(output_tokens=12)) 14: RawMessageStopEvent(type='message_stop') ``` Here we implement the second option, in part because it should make things easier when implementing streaming tool calls in the near future. This would add two new chunks to the stream-- one at the beginning and one at the end-- with blank content and containing usage metadata. We add kwargs to the stream methods and a class attribute allowing for this behavior to be toggled. I enabled it by default. If we merge this we can add the same kwargs / attribute to OpenAI. Usage: ```python from langchain_anthropic import ChatAnthropic model = ChatAnthropic( model="claude-3-haiku-20240307", temperature=0 ) full = None for chunk in model.stream("hi"): full = chunk if full is None else full + chunk print(chunk) print(f"\nFull: {full}") ``` ``` content='' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 8, 'output_tokens': 0, 'total_tokens': 8} content='Hello' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='!' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' How' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' can' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' I' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' assist' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' you' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' today' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='?' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 0, 'output_tokens': 12, 'total_tokens': 12} Full: content='Hello! How can I assist you today?' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 8, 'output_tokens': 12, 'total_tokens': 20} ```	3 months ago
Bagatur	235d91940d	community[patch]: Release 0.2.4 (#22643)	3 months ago
William FH	be79ce9336	[Core] Unified Enable/Disable Tracing (#22576)	3 months ago
Bagatur	fe2e5a3b74	langchain[patch]: Release 0.2.3 (#22644)	3 months ago
Erick Friis	a24a9c6427	multiple: get rid of pyproject extras (#22581) ... They cause `poetry lock` to take a ton of time, and `uv pip install` can resolve the constraints from these toml files in trivial time (addressing problem with #19153) This allows us to properly upgrade lockfile dependencies moving forward, which revealed some issues that were either fixed or type-ignored (see file comments)	3 months ago
Bagatur	4367e89c9a	core[patch]: Release 0.2.5 (#22642)	3 months ago
Eugene Yurtsev	28f744c1f5	core[patch]: Correctly order parent ids in astream events (from root to immediate parent), add defensive check for cycles (#22637) ... This PR makes two changes: 1. Fixes the order of parent IDs to be from root to immediate parent 2. Adds a simple defensive check for cycles	3 months ago
Eugene Yurtsev	035a9c9609	core[minor]: Add parent_ids to astream_events API (#22563) ... Include a list of parent ids for each event in astream events.	3 months ago
Nicolas Nkiere	51005e2776	core[minor]: Add an async root listener and with_alisteners method (#22151) ... - [x] **Adding AsyncRootListener**: "langchain_core: Adding AsyncRootListener" - **Description:** Adding an AsyncBaseTracer, AsyncRootListener and `with_alistener` function. This is to enable binding async root listener to runnables. This currently only supported for sync listeners. - **Issue:** None - **Dependencies:** None - [x] **Add tests and docs**: Added units tests and example snippet code within the function description of `with_alistener` - [x] **Lint and test**: Run make format_diff, make lint_diff and make test	3 months ago
seyf97	2904c50cd5	openai[patch]: correct grammar in exception message in embeddings/base.py (#22629) ... Correct the grammar error for missing transformers package ValueError	3 months ago
Anush	80560419b0	qdrant[patch]: Make path optional in from_existing_collection() (#21875) ... ## Description The `path` param is used to specify the local persistence directory, which isn't required if using Qdrant server. This is a breaking but necessary change.	3 months ago
ccurme	b57aa89f34	multiple: implement ls_params (#22621) ... implement ls_params for ai21, fireworks, groq.	3 months ago
Xiangrui Meng	f26ab93df8	community: support Databricks Unity Catalog functions as LangChain tools (#22555) ... This PR adds support for using Databricks Unity Catalog functions as LangChain tools, which runs inside a Databricks SQL warehouse. * An example notebook is provided.	3 months ago
ccurme	c1ef731503	anthropic: update attribute name and alias (#22625) ... update name to `stop_sequences` and alias to `stop` (instead of the other way around), since `stop_sequences` is the name used by anthropic.	3 months ago
lucasiscovici	05bf98b2f9	community[patch]: pgvector replace nin_ by not_in (#22619) ... - [ ] **community**: "pgvector: replace nin_ by not_in" - [ ] **PR message**: nin_ do not exist in sqlalchemy orm, it's not_in	3 months ago
ccurme	3999761201	multiple: add `stop` attribute (#22573)	3 months ago
ccurme	e08879147b	Revert "anthropic: stream token usage" (#22624) ... Reverts langchain-ai/langchain#20180	3 months ago
Bagatur	0d495f3f63	anthropic: stream token usage (#20180) ... open to other ideas <img width="1181" alt="Screenshot 2024-04-08 at 5 34 08 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/03eb11c4-5eb5-43e3-9109-a13f76098fa4"> --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Satyam Kumar	17b486a37b	openai, azure: update model_name in ChatResult to use name from API response (#22569) ... The response.get("model", self.model_name) checks if the model key exists in the response dictionary. If it does, it uses that value; otherwise, it uses self.model_name. Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Christophe Bornet	12ddb4fc6f	core[patch]: Use explicit classes for InMemoryByteStore and InMemoryStore (#22608) ... The current implementation doesn't work well with type checking. Instead replace with class definition that correctly works with type checking.	3 months ago
andyjessen	cfed68e06f	docs: Fix description (#22611) ... This commit fixes the description of the hair_color field.	3 months ago
ccurme	1925bde32e	together: bump langchain-core (#22616) ... langchain-together depends on langchain-openai ^0.1.8 langchain-openai 0.1.8 has langchain-core >= 0.2.2 Here we bump langchain-core to 0.2.2, just to pass minimum dependency version tests.	3 months ago
ccurme	35f4aa927b	together[patch]: Release 0.1.3 (#22615)	3 months ago
andyjessen	8b40428f58	docs: Fix typo (#22603) ... This commit changes minor typo in the field description.	3 months ago
Isaac Francisco	ba3e219d83	community[patch]: recursive url loader fix and unit tests (#22521) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Jeffrey Mak	5fc5ed463c	community[patch]:Support filter for AzureAISearchRetriever (#22303) ... **Description**: The AzureAISearchRetriever does not support the "$filter" argument offered in the AISearch API: https://learn.microsoft.com/en-us/rest/api/searchservice/documents/search-get?view=rest-searchservice-2023-11-01&tabs=HTTP The $filter allows filtering of indexes based on values in metadata. **Issue**: https://github.com/langchain-ai/langchain/issues/19885 **Dependencies**: No **Twitter handle**: @Jeffreym9M - [ ] **Add tests and docs**: Not relevant - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	3 months ago
Isaac Francisco	148088a588	docs: duckduckgosearch options listed (#22568) ... Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
X-HAN	62f13f95e4	community[minor]: add DashScope Rerank (#22403) ... **Description:** this PR adds DashScope Rerank capability to Langchain, you can find DashScope Rerank API from [here](https://help.aliyun.com/document_detail/2780058.html?spm=a2c4g.2780059.0.0.6d995024FlrJ12) & [here](https://help.aliyun.com/document_detail/2780059.html?spm=a2c4g.2780058.0.0.63f75024cr11N9). [DashScope](https://dashscope.aliyun.com/) is the generative AI service from Alibaba Cloud (Aliyun). You can create DashScope API key from [here](https://bailian.console.aliyun.com/?apiKey=1#/api-key). **Dependencies:** DashScopeRerank depends on `dashscope` python package. **Twitter handle:** my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thanks you! **Tests and docs** 1. integration test: `test_dashscope_rerank.py` 2. example notebook: `dashscope_rerank.ipynb` **Lint and test**: I have run `make format`, `make lint` and `make test` from the root of the package I've modified. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Ethan Yang	29064848f9	[Community]add option to delete the prompt from HF output (#22225) ... This will help to solve pattern mismatching issue when parsing the output in Agent. https://github.com/langchain-ai/langchain/issues/21912	3 months ago
Bagatur	584a1e30ac	community[patch]: AzureSearch async functions (#22075)	3 months ago
Bagatur	1a911018bc	langchain[minor]: add universal init_model (#22039) ... decisions to discuss - only chat models - model_provider isn't based on any existing values like llm-type, package names, class names - implemented as function not as a wrapper ChatModel - function name (init_model) - in langchain as opposed to community or core - marked beta	3 months ago
ccurme	af129974a3	community: update how OpenAIAssistantV2Runnable creates threads with tool_resources (#22549) ... https://github.com/langchain-ai/langchain/issues/22503	3 months ago
Bagatur	51a0d4574e	community[patch]: Release 0.2.3 (#22562)	3 months ago
Bagatur	b2daba37c7	nomic[patch]: Release 0.1.2 (#22561)	3 months ago
Zach Nussbaum	14f3014cce	embeddings: nomic embed vision (#22482) ... Thank you for contributing to LangChain! **Description:** Adds Langchain support for Nomic Embed Vision **Twitter handle:** nomic_ai,zach_nussbaum - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
leila-messallem	3280a5b49b	community[patch]: improve test setup to accurately test filtering of labels in neo4j (#22531) ... **Description:** This PR addresses an issue with an existing test that was not effectively testing the intended functionality. The previous test setup did not adequately validate the filtering of the labels in neo4j, because the nodes and relationship in the test data did not have any properties set. Without properties these labels would not have been returned, regardless of the filtering. --------- Co-authored-by: Oskar Hane <oh@oskarhane.com>	3 months ago
Mohammad Mohtashim	7fcef2556c	[Experimental]: Async agenerate method ollama functions (#21682) ... - **Description:** : Added Async method for Generate for OllamaFunctions which was missing and was raising errors for the users. - **Issue:** #21422	3 months ago
Stefano Lottini	328d0c99f2	community[minor]: Add support for metadata indexing policy in Cassandra vector store (#22548) ... This PR adds a constructor `metadata_indexing` parameter to the Cassandra vector store to allow optional fine-tuning of which fields of the metadata are to be indexed. This is a feature supported by the underlying CassIO library. Indexing mode of "all", "none" or deny- and allow-list based choices are available. The rationale is, in some cases it's advisable to programmatically exclude some portions of the metadata from the index if one knows in advance they won't ever be used at search-time. this keeps the index more lightweight and performant and avoids limitations on the length of _indexed_ strings. I added a integration test of the feature. I also added the possibility of running the integration test with Cassandra on an arbitrary IP address (e.g. Dockerized), via `CASSANDRA_CONTACT_POINTS=10.1.1.5,10.1.1.6 poetry run pytest [...]` or similar. While I was at it, I added a line to the `.gitignore` since the mypy _test_ cache was not ignored yet. My X (Twitter) handle: @rsprrs.	3 months ago
Emilien Chauvet	c3d4126eb1	community[minor]: add user agent for web scraping loaders (#22480) ... **Description:** This PR adds a `USER_AGENT` env variable that is to be used for web scraping. It creates a util to get that user agent and uses it in the classes used for scraping in [this piece of doc](https://python.langchain.com/v0.1/docs/use_cases/web_scraping/). Identifying your scraper is considered a good politeness practice, this PR aims at easing it. **Issue:** `None` **Dependencies:** `None` **Twitter handle:** `None`	3 months ago
Philippe PRADOS	8250c177de	community[minor]: Add native async support to SQLChatMessageHistory (#22065) ... # package community: Fix SQLChatMessageHistory ## Description Here is a rewrite of `SQLChatMessageHistory` to properly implement the asynchronous approach. The code circumvents [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) by accepting a synchronous call to `def add_messages()` in an asynchronous scenario. This bypasses the bug. For the same reasons as in [PR 22](https://github.com/langchain-ai/langchain-postgres/pull/32) of `langchain-postgres`, we use a lazy strategy for table creation. Indeed, the promise of the constructor cannot be fulfilled without this. It is not possible to invoke a synchronous call in a constructor. We compensate for this by waiting for the next asynchronous method call to create the table. The goal of the `PostgresChatMessageHistory` class (in `langchain-postgres`) is, among other things, to be able to recycle database connections. The implementation of the class is problematic, as we have demonstrated in [issue 22021](https://github.com/langchain-ai/langchain/issues/22021). Our new implementation of `SQLChatMessageHistory` achieves this by using a singleton of type (`Async`)`Engine` for the database connection. The connection pool is managed by this singleton, and the code is then reentrant. We also accept the type `str` (optionally complemented by `async_mode`. I know you don't like this much, but it's the only way to allow an asynchronous connection string). In order to unify the different classes handling database connections, we have renamed `connection_string` to `connection`, and `Session` to `session_maker`. Now, a single transaction is used to add a list of messages. Thus, a crash during this write operation will not leave the database in an unstable state with a partially added message list. This makes the code resilient. We believe that the `PostgresChatMessageHistory` class is no longer necessary and can be replaced by: ``` PostgresChatMessageHistory = SQLChatMessageHistory ``` This also fixes the bug. ## Issue - [issue 22021](https://github.com/langchain-ai/langchain/issues/22021) - Bug in _exit_history() - Bugs in PostgresChatMessageHistory and sync usage - Bugs in PostgresChatMessageHistory and async usage - [issue 36](https://github.com/langchain-ai/langchain-postgres/issues/36) ## Twitter handle: pprados ## Tests - libs/community/tests/unit_tests/chat_message_histories/test_sql.py (add async test) @baskaryan, @eyurtsev or @hwchase17 can you check this PR ? And, I've been waiting a long time for validation from other PRs. Can you take a look? - [PR 32](https://github.com/langchain-ai/langchain-postgres/pull/32) - [PR 15575](https://github.com/langchain-ai/langchain/pull/15575) - [PR 13200](https://github.com/langchain-ai/langchain/pull/13200) --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Vincent Min	59bef31997	community[minor]: Improve InMemoryVectorStore with ability to persist to disk and filter on metadata. (#22186) ... - **Description:** The InMemoryVectorStore is a nice and simple vector store implementation for quick development and debugging. The current implementation is quite limited in its functionalities. This PR extends the functionalities by adding utility function to persist the vector store to a json file and to load it from a json file. We choose the json file format because it allows inspection of the database contents in a text editor, which is great for debugging. Furthermore, it adds a `filter` keyword that can be used to filter out documents on their `page_content` or `metadata`. - **Issue:** - - **Dependencies:** - - **Twitter handle:** @Vincent_Min	3 months ago
Christophe Bornet	c34ad8c163	core[patch]: Improve VectorStore API doc (#22547)	3 months ago
maang-h	89128b7a49	community[patch]: add detailed paragraph and example for BaichuanTextEmbeddings (#22031) ... - **Description:** add detailed paragraph and example for BaichuanTextEmbeddings - **Issue:** the issue #21983	3 months ago
Anthony Bernabeu	4e676a63b8	community[minor]: Added filter search for LanceDB (#22461) ... - [ ] **community**: "vectorstore: added filtering support for LanceDB vector store" - [ ] **This PR adds filtering capabilities to LanceDB**: - **Description:** In LanceDB filtering can be applied when searching for data into the vectorstore. It is using the SQL language as mentioned in the LanceDB documentation. - **Issue:** #18235 - **Dependencies:** No - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	3 months ago
Erick Friis	4050d6ea2b	huggingface: remove text-generation dep (#22543)	3 months ago
Erick Friis	a6fc74f379	ai21: fix core version (#22544)	3 months ago
Asaf Joseph Gardin	75cba742e5	ai21: fix ai21 unittests (#22526) ... Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Erick Friis	58192d617f	community: fix huggingface deprecations (#22522)	3 months ago
Christophe Bornet	8ba868d3b0	core[patch]: Add similarity_score_threshold to VectorStore search types (#22477)	3 months ago
Eugene Yurtsev	9120cf5df2	core[patch]: Deduplicate of callback handlers in merge_configs (#22478) ... This PR adds deduplication of callback handlers in merge_configs. Fix for this issue: https://github.com/langchain-ai/langchain/issues/22227 The issue appears when the code is: 1) running python >=3.11 2) invokes a runnable from within a runnable 3) binds the callbacks to the child runnable from the parent runnable using with_config In this case, the same callbacks end up appearing twice: (1) the first time from with_config, (2) the second time with langchain automatically propagating them on behalf of the user. Prior to this PR this will emit duplicate events: ```python @tool async def get_items(question: str, callbacks: Callbacks): # <--- Accept callbacks """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template | chat_model.with_config( { "callbacks": callbacks, # <-- Propagate callbacks } ) return await chain.ainvoke({"question": question}) ``` Prior to this PR this will work work correctly (no duplicate events): ```python @tool async def get_items(question: str, callbacks: Callbacks): # <--- Accept callbacks """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template | chat_model return await chain.ainvoke({"question": question}, {"callbacks": callbacks}) ``` This will also work (as long as the user is using python >= 3.11) -- as langchain will automatically propagate callbacks ```python @tool async def get_items(question: str,): """Ask question""" template = ChatPromptTemplate.from_messages( [ ( "human", "'{question}" ) ] ) chain = template | chat_model return await chain.ainvoke({"question": question}) ```	3 months ago
Ofer Mendelevitch	ad502e8d50	community[minor]: Vectara Integration Update - Streaming, FCS, Chat, updates to documentation and example notebooks (#21334) ... Thank you for contributing to LangChain! **Description:** update to the Vectara / Langchain integration to integrate new Vectara capabilities: - Full RAG implemented as a Runnable with as_rag() - Vectara chat supported with as_chat() - Both support streaming response - Updated documentation and example notebook to reflect all the changes - Updated Vectara templates **Twitter handle:** ofermend **Add tests and docs**: no new tests or docs, but updated both existing tests and existing docs	3 months ago
Bagatur	cb183a9bf1	docs: update anthropic chat model (#22483) ... Related to #22296 And update anthropic to accept base_url	3 months ago
Erick Friis	d700ce8545	robocorp: typo (#22509)	3 months ago
Erick Friis	39fd44579a	robocorp: release 0.0.9.post1 (#22507)	3 months ago
Erick Friis	339e3b7f55	ai21: release 0.1.6 (#22508)	3 months ago
ccurme	3c53cea760	together, upstage: bump minimum langchain-openai version (#22505)	3 months ago
Bagatur	efcb04f84b	mongodb[patch]: Release 0.1.6 (#22501)	3 months ago
Bagatur	222b1ba112	groq[patch]: Release 0.1.5 (#22500)	3 months ago
Bagatur	f021be510e	milvus[patch]: Release 0.1.1 (#22499)	3 months ago
Bagatur	64d68c17cd	upstage[patch]: Release 0.1.6 (#22498)	3 months ago
Bagatur	48fba40fce	experimental[patch]: Release 0.0.60 (#22497)	3 months ago
Bagatur	e60f88ccdd	community[patch]: Release 0.2.2 (#22496)	3 months ago
Bagatur	85aa218564	langchain[patch]: Release 0.2.2 (#22495)	3 months ago
Bagatur	8e86080def	mistralai[patch]: Release 0.1.8 (#22494)	3 months ago