langchain

Commit Graph

Author	SHA1	Message	Date
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

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