langchain

Commit Graph

Author	SHA1	Message	Date
ccurme	a197a8e184	openai[patch]: move test (#24552 ) No-override tests (https://github.com/langchain-ai/langchain/pull/24407) include a condition that integrations not implement additional tests.	2 months ago
Erick Friis	2c6b9e8771	standard-tests: add override check (#24407 )	2 months ago
Nithish Raghunandanan	1639ccfd15	couchbase: [patch] Return chat message history in order (#24498 ) Description: Fixes an issue where the chat message history was not returned in order. Fixed it now by returning based on timestamps. - [x] Add tests and docs: Updated the tests to check the order 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	3dce2e1d35	all: add release notes to pypi (#24519 )	2 months ago
Bagatur	236e957abb	core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417 ) After this PR chat models will correctly handle pydantic 2 with bind_tools and with_structured_output. ```python import pydantic print(pydantic.__version__) ``` 2.8.2 ```python from langchain_openai import ChatOpenAI from pydantic import BaseModel, Field class Add(BaseModel): x: int y: int model = ChatOpenAI().bind_tools([Add]) print(model.invoke('2 + 5').tool_calls) model = ChatOpenAI().with_structured_output(Add) print(type(model.invoke('2 + 5'))) ``` ``` [{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_PNUFa4pdfNOYXxIMHc6ps2Do', 'type': 'tool_call'}] <class '__main__.Add'> ``` ```python from langchain_openai import ChatOpenAI from pydantic.v1 import BaseModel, Field class Add(BaseModel): x: int y: int model = ChatOpenAI().bind_tools([Add]) print(model.invoke('2 + 5').tool_calls) model = ChatOpenAI().with_structured_output(Add) print(type(model.invoke('2 + 5'))) ``` ```python [{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_hhiHYP441cp14TtrHKx3Upg0', 'type': 'tool_call'}] <class '__main__.Add'> ``` Addresses issues: https://github.com/langchain-ai/langchain/issues/22782 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Erick Friis	a45337ea07	ollama: release 0.1.0 (#24510 )	2 months ago
Isaac Francisco	838464de25	ollama: init package (#23615 ) Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Prakul	b2bc15e640	docs: Update mongodb README.md (#24412 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Erick Friis	334fc1ed1c	mongodb: release 0.1.7 (#24409 )	2 months ago
Erick Friis	80f3d48195	openai: release 0.1.18 (#24369 )	2 months ago
Bagatur	7d83189b19	openai[patch]: use model_name in AzureOpenAI.ls_model_name (#24366 )	2 months ago
Nithish Raghunandanan	eb26b5535a	couchbase: Add chat message history (#24356 ) Description: : Add support for chat message history using Couchbase - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>	2 months ago
Casey Clements	a47f69a120	partners/mongodb : Significant MongoDBVectorSearch ID enhancements (#23535 ) ## Description This pull-request improves the treatment of document IDs in `MongoDBAtlasVectorSearch`. Class method signatures of add_documents, add_texts, delete, and from_texts now include an `ids:Optional[List[str]]` keyword argument permitting the user greater control. Note that, as before, IDs may also be inferred from `Document.metadata['_id']` if present, but this is no longer required, IDs can also optionally be returned from searches. This PR closes the following JIRA issues. * [PYTHON-4446](https://jira.mongodb.org/browse/PYTHON-4446) MongoDBVectorSearch delete / add_texts function rework * [PYTHON-4435](https://jira.mongodb.org/browse/PYTHON-4435) Add support for "Indexing" * [PYTHON-4534](https://jira.mongodb.org/browse/PYTHON-4534) Ensure datetimes are json-serializable --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	cc2cbfabfc	milvus: release 0.1.2 (#24365 )	2 months ago
Erick Friis	81639243e2	openai: release 0.1.17 (#24361 )	2 months ago
Erick Friis	61976a4147	pinecone: release 0.1.2 (#24355 )	2 months ago
ccurme	4cf67084d3	openai[patch]: fix key collision and _astream (#24345 ) Fixes small issues introduced in https://github.com/langchain-ai/langchain/pull/24150 (unreleased).	2 months ago
Erick Friis	1e9cc02ed8	openai: raw response headers (#24150 )	2 months ago
Erick Friis	56cca23745	openai: remove some params from default serialization (#24280 )	2 months ago
mrugank-wadekar	66bebeb76a	partners: add similarity search by image functionality to langchain_chroma partner package (#22982 ) - Description: This pull request introduces two new methods to the Langchain Chroma partner package that enable similarity search based on image embeddings. These methods enhance the package's functionality by allowing users to search for images similar to a given image URI. Also introduces a notebook to demonstrate it's use. - Issue: N/A - Dependencies: None - Twitter handle: @mrugank9009 --------- Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
ccurme	ab2d7821a7	fireworks[patch]: use firefunction-v2 in standard tests (#24264 )	2 months ago
Bagatur	65321bf975	core[patch]: fix ToolCall "type" when streaming (#24218 )	2 months ago
Anush	a653b209ba	qdrant: test new QdrantVectorStore (#24165 ) ## Description This PR adds integration tests to follow up on #24164. By default, the tests use an in-memory instance. To run the full suite of tests, with both in-memory and Qdrant server: ``` $ docker run -p 6333:6333 qdrant/qdrant $ make test $ make integration_test ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Roman Solomatin	f071581aea	openai[patch]: update openai params (#23691 ) Description: Explicitly add parameters from openai API - [X] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Leonid Ganeline	f0a7581b50	milvus: docstring (#23151 ) Added missed docstrings. Format docstrings to the consistent format (used in the API Reference) --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Christian D. Glissov	474b88326f	langchain_qdrant: Added method "_asimilarity_search_with_relevance_scores" to Qdrant class (#23954 ) I stumbled upon a bug that led to different similarity scores between the async and sync similarity searches with relevance scores in Qdrant. The reason being is that _asimilarity_search_with_relevance_scores is missing, this makes langchain_qdrant use the method of the vectorstore baseclass leading to drastically different results. To illustrate the magnitude here are the results running an identical search in a test vectorstore. Output of asimilarity_search_with_relevance_scores: [0.9902903374601824, 0.9472135924938804, 0.8535534011299859] Output of similarity_search_with_relevance_scores: [0.9805806749203648, 0.8944271849877607, 0.7071068022599718] Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Anush	d09dda5a08	qdrant: Bump patch version (#24168 ) # Description To release a new version of `langchain-qdrant` after #24165 and #24166.	2 months ago
Erick Friis	e8ee781a42	ibm: move to external repo (#24208 )	2 months ago
Bagatur	02e71cebed	together[patch]: Release 0.1.4 (#24205 )	2 months ago
Bagatur	259d4d2029	anthropic[patch]: Release 0.1.20 (#24204 )	2 months ago
Bagatur	3aed74a6fc	fireworks[patch]: Release 0.1.5 (#24203 )	2 months ago
Bagatur	13b0d7ec8f	openai[patch]: Release 0.1.16 (#24202 )	2 months ago
Bagatur	71cd6e6feb	groq[patch]: Release 0.1.7 (#24201 )	2 months ago
Bagatur	99054e19eb	mistralai[patch]: Release 0.1.10 (#24200 )	2 months ago
Bagatur	7a1321e2f9	ibm[patch]: Release 0.1.10 (#24199 )	2 months ago
Bagatur	cb5031f22f	integrations[patch]: require core >=0.2.17 (#24207 )	2 months ago
Nithish Raghunandanan	f1618ec540	couchbase: Add standard and semantic caches (#23607 ) Thank you for contributing to LangChain! Description: Add support for caching (standard + semantic) LLM responses using Couchbase - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	6166ea67a8	core[minor]: rename ToolMessage.raw_output -> artifact (#24185 )	2 months ago
Anush	7014d07cab	qdrant: new Qdrant implementation (#24164 )	2 months ago
Eugene Yurtsev	8858846607	milvus[patch]: Fix Milvus vectorstore for newer versions of langchain-core (#24152 ) Fix for: https://github.com/langchain-ai/langchain/issues/24116 This keeps the old behavior of add_documents and add_texts	2 months ago
Anush	7790d67f94	qdrant: New sparse embeddings provider interface - PART 1 (#24015 ) ## Description This PR introduces a new sparse embedding provider interface to work with the new Qdrant implementation that will follow this PR. Additionally, an implementation of this interface is provided with https://github.com/qdrant/fastembed. This PR will be followed by https://github.com/Anush008/langchain/pull/3.	2 months ago
ccurme	cb95198398	standard-tests[patch]: add tests for runnables as tools and streaming usage metadata (#24153 )	2 months ago
Bagatur	5fd1e67808	core[minor], integrations...[patch]: Support ToolCall as Tool input and ToolMessage as Tool output (#24038 ) Changes: - ToolCall, InvalidToolCall and ToolCallChunk can all accept a "type" parameter now - LLM integration packages add "type" to all the above - Tool supports ToolCall inputs that have "type" specified - Tool outputs ToolMessage when a ToolCall is passed as input - Tools can separately specify ToolMessage.content and ToolMessage.raw_output - Tools emit events for validation errors (using on_tool_error and on_tool_end) Example: ```python @tool("structured_api", response_format="content_and_raw_output") def _mock_structured_tool_with_raw_output( arg1: int, arg2: bool, arg3: Optional[dict] = None ) -> Tuple[str, dict]: """A Structured Tool""" return f"{arg1} {arg2}", {"arg1": arg1, "arg2": arg2, "arg3": arg3} def test_tool_call_input_tool_message_with_raw_output() -> None: tool_call: Dict = { "name": "structured_api", "args": {"arg1": 1, "arg2": True, "arg3": {"img": "base64string..."}}, "id": "123", "type": "tool_call", } expected = ToolMessage("1 True", raw_output=tool_call["args"], tool_call_id="123") tool = _mock_structured_tool_with_raw_output actual = tool.invoke(tool_call) assert actual == expected tool_call.pop("type") with pytest.raises(ValidationError): tool.invoke(tool_call) actual_content = tool.invoke(tool_call["args"]) assert actual_content == expected.content ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	71c2221f8c	openai: release 0.1.15 (#24097 )	2 months ago
Ethan Yang	13855ef0c3	[HuggingFace Pipeline] add streaming support (#23852 )	3 months ago
Nuno Campos	73966e693c	openai: Create msg chunk in bg thread (#24032 ) 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
ccurme	74c7198906	core, anthropic[patch]: support streaming tool calls when function has no arguments (#23915 ) resolves https://github.com/langchain-ai/langchain/issues/23911 When an AIMessageChunk is instantiated, we attempt to parse tool calls off of the tool_call_chunks. Here we add a special-case to this parsing, where `""` will be parsed as `{}`. This is a reaction to how Anthropic streams tool calls in the case where a function has no arguments: ``` {'id': 'toolu_01J8CgKcuUVrMqfTQWPYh64r', 'input': {}, 'name': 'magic_function', 'type': 'tool_use', 'index': 1} {'partial_json': '', 'type': 'tool_use', 'index': 1} ``` The `partial_json` does not accumulate to a valid json string-- most other providers tend to emit `"{}"` in this case.	3 months ago
Mateusz Szewczyk	902b57d107	IBM: Added WatsonxChat passing params to invoke method (#23758 ) Thank you for contributing to LangChain! - [x] PR title: "IBM: Added WatsonxChat to chat models preview, update passing params to invoke method" - [x] PR message: - Description: Added WatsonxChat passing params to invoke method, added integration tests - Dependencies: `ibm_watsonx_ai` - [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/ --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Jiejun Tan	2be66a38d8	huggingface: Fix huggingface tei support (#22653 ) Update former pull request: https://github.com/langchain-ai/langchain/pull/22595. Modified `libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py`, where the API call function does not match current [Text Embeddings Inference API](https://huggingface.github.io/text-embeddings-inference/#/Text%20Embeddings%20Inference/embed). One example is: ```json { "inputs": "string", "normalize": true, "truncate": false } ``` Parameters in `_model_kwargs` are not passed properly in the latest version. By the way, the issue [why cause 413? #50](https://github.com/huggingface/text-embeddings-inference/issues/50) might be solved.	3 months ago
Philippe PRADOS	26cee2e878	partners[patch]: MongoDB vectorstore to return and accept string IDs (#23818 ) The mongdb have some errors. - `add_texts() -> List` returns a list of `ObjectId`, and not a list of string - `delete()` with `id` never remove chunks. --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago

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646 Commits (aaf788b7cb62b7e9612924a6e2c118b723b92ce7)