752 Commits (9a29398fe629aa62fc5bc237ec20f8461a039f7f)

Author	SHA1	Message	Date
Erick Friis	20fe4deea0	milvus: release 0.1.3 (#24624)	2 months ago
Anush	4585eaef1b	qdrant: Fix vectors_config access (#24606) ... ## Description Fixes #24558 by accessing `vectors_config` after asserting it to be a dict.	2 months ago
maang-h	22175738ac	docs: Add MongoDBChatMessageHistory docstrings (#24608) ... - **Description:** Add MongoDBChatMessageHistory rich docstrings. - **Issue:** the issue #21983	2 months ago
Philippe PRADOS	5f73c836a6	openai[small]: Add the new model: gpt-4o-mini (#24594)	2 months ago
Isaac Francisco	464a525a5a	[partner]: minor change to embeddings for Ollama (#24521)	2 months ago
Gareth	ac41c97d21	pinecone: Add embedding Inference Support (#24515) ... **Description** Add support for Pinecone hosted embedding models as `PineconeEmbeddings`. Replacement for #22890 **Dependencies** Add `aiohttp` to support async embeddings call against REST directly - [x] **Add tests and docs**: If you're adding a new integration, please include Added `docs/docs/integrations/text_embedding/pinecone.ipynb` - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Twitter: `gdjdg17` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
ccurme	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
Bagatur	a0c2281540	infra: update mypy 1.10, ruff 0.5 (#23721) ... ```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l): path, line_no, error_type = re.match( "^(.*)\:(\d+)\: error:.*\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```	3 months ago
ccurme	54e730f6e4	fireworks[patch]: read from tool calls attribute (#23820)	3 months ago
Bagatur	ebb404527f	anthropic[patch]: Release 0.1.19 (#23783)	3 months ago
Bagatur	6168c846b2	openai[patch]: Release 0.1.14 (#23782)	3 months ago
Bagatur	cb9812593f	openai[patch]: expose model request payload (#23287) ... 	3 months ago
Bagatur	ed200bf2c4	anthropic[patch]: expose payload (#23291) ... 	3 months ago
ccurme	1d54ac93bb	ai21[patch]: release 0.1.7 (#23781)	3 months ago
Asaf Joseph Gardin	320dc31822	partners: AI21 Labs Jamba Streaming Support (#23538) ... Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Added support for streaming in AI21 Jamba Model - **Twitter handle:** https://github.com/AI21Labs - [x] **Add tests and docs**: If you're adding a new integration, please include - [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. --------- Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
ccurme	7c1cddf1b7	anthropic[patch]: release 0.1.18 (#23778)	3 months ago
ccurme	c9dac59008	anthropic[patch]: fix model name in some integration tests (#23779)	3 months ago
Bagatur	7a6c06cadd	anthropic[patch]: tool output parser fix (#23647)	3 months ago
ccurme	46cbf0e4aa	anthropic[patch]: use core output parsers for structured output (#23776) ... Also add to standard tests for structured output.	3 months ago
kiarina	dc396835ed	langchain_anthropic: add stop_reason in ChatAnthropic stream result (#23689) ... `ChatAnthropic` can get `stop_reason` from the resulting `AIMessage` in `invoke` and `ainvoke`, but not in `stream` and `astream`. This is a different behavior from `ChatOpenAI`. It is possible to get `stop_reason` from `stream` as well, since it is needed to determine the next action after the LLM call. This would be easier to handle in situations where only `stop_reason` is needed. - Issue: NA - Dependencies: NA - Twitter handle: https://x.com/kiarina37	3 months ago
wenngong	ee5eedfa04	partners: support reading HuggingFace params from env (#23309) ... Description: 1. partners/HuggingFace module support reading params from env. Not adjust langchain_community/.../huggingfaceXX modules since they are deprecated. 2. pydantic 2 @root_validator migration. Issue: #22448 #22819 --------- Co-authored-by: gongwn1 <gongwn1@lenovo.com>	3 months ago
Yannick Stephan	5b1de2ae93	mistralai: Fixed streaming in MistralAI with ainvoke and callbacks (#22000) ... # Fix streaming in mistral with ainvoke - [x] **PR title** - [x] **PR message** - [x] **Add tests and docs**: 1. [x] Added a test for the fixed integration. 2. [x] An example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Ran `make format`, `make lint` and `make test` from the root of the package(s) I've modified. Hello * I Identified an issue in the mistral package where the callback streaming (see on_llm_new_token) was not functioning correctly when the streaming parameter was set to True and call with `ainvoke`. * The root cause of the problem was the streaming not taking into account. ( I think it's an oversight ) * To resolve the issue, I added the `streaming` attribut. * Now, the callback with streaming works as expected when the streaming parameter is set to True. ## How to reproduce ``` from langchain_mistralai.chat_models import ChatMistralAI chain = ChatMistralAI(streaming=True) # Add a callback chain.ainvoke(..) # Oberve on_llm_new_token # Now, the callback is given as streaming tokens, before it was in grouped format. ``` Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Chip Davis	04bc5f1a95	partners[azure]: fix having openai_api_base set for other packages (#22068) ... This fix is for #21726. When having other packages installed that require the `openai_api_base` environment variable, users are not able to instantiate the AzureChatModels or AzureEmbeddings. This PR adds a new value `ignore_openai_api_base` which is a bool. When set to True, it sets `openai_api_base` to `None` Two new tests were added for the `test_azure` and a new file `test_azure_embeddings` A different approach may be better for this. If you can think of better logic, let me know and I can adjust it. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Bagatur	389a568f9a	standard-tests[patch]: add anthropic format integration test (#23717)	3 months ago
Bagatur	29aa9d6750	groq[patch]: Release 0.1.6 (#23655)	3 months ago
Bagatur	f2d0c13a15	fireworks[patch]: Release 0.1.4 (#23654)	3 months ago
Bagatur	9a5e35d1ba	mistralai[patch]: Release 0.1.9 (#23653)	3 months ago
Mateusz Szewczyk	a78ccb993c	ibm: Add support for Chat Models (#22979)	3 months ago
Bagatur	af2c05e5f3	openai[patch]: Release 0.1.13 (#23651)	3 months ago
Bagatur	b63c7f10bc	anthropic[patch]: Release 0.1.17 (#23650)	3 months ago
Bagatur	fc8fd49328	openai, anthropic, ...: with_structured_output to pass in explicit tool choice (#23645) ... ...community, mistralai, groq, fireworks part of #23644	3 months ago
Bagatur	81064017a9	docs: azure openai docstring (#23643) ... part of #22296	3 months ago
ccurme	5d93916665	openai[patch]: release 0.1.12 (#23641)	3 months ago
ccurme	390ee8d971	standard-tests: add test for structured output (#23631) ... - add test for structured output - fix bug with structured output for Azure - better testing on Groq (break out Mixtral + Llama3 and add xfails where needed)	3 months ago
Bagatur	3b1fcb2a65	chroma[patch]: Release 0.1.2 (#23604)	3 months ago
Bagatur	d45ece0e58	chroma[patch]: loosen py req (#23599) ... currently causes issues if you try adding to a project that supports py<4	3 months ago
Mohammad Mohtashim	4796b7eb15	[Community [HuggingFace]]: Small Fix for ChatHuggingFace. (#22925) ... - **Description:** A small fix where I moved the `available_endpoints` in order to avoid the token error in the below issue. Also I have added conftest file and updated the `scripy`,`numpy` versions to support newer python versions in poetry files. - **Issue:** #22804 --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
ccurme	bffc3c24a0	openai[patch]: release 0.1.11 (#23596)	3 months ago
ccurme	a1520357c8	openai[patch]: revert addition of "name" to supported properties for tool messages (#23600)	3 months ago
joshc-ai21	16a293cc3a	Small bug fixes (#23353) ... Small bug fixes according to your comments --------- Signed-off-by: Joffref <mariusjoffre@gmail.com> Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Baskar Gopinath <73015364+baskargopinath@users.noreply.github.com> Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Mathis Joffre <51022808+Joffref@users.noreply.github.com> Co-authored-by: Baur <baur.krykpayev@gmail.com> Co-authored-by: Nuradil <nuradil.maksut@icloud.com> Co-authored-by: Nuradil <133880216+yaksh0nti@users.noreply.github.com> Co-authored-by: Jacob Lee <jacoblee93@gmail.com> Co-authored-by: Rave Harpaz <rave.harpaz@oracle.com> Co-authored-by: RHARPAZ <RHARPAZ@RHARPAZ-5750.us.oracle.com> Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com> Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: RUO <61719257+comsa33@users.noreply.github.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Luis Rueda <userlerueda@gmail.com> Co-authored-by: Jib <Jibzade@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: S M Zia Ur Rashid <smziaurrashid@gmail.com> Co-authored-by: Ikko Eltociear Ashimine <eltociear@gmail.com> Co-authored-by: yuncliu <lyc1990@qq.com> Co-authored-by: wenngong <76683249+wenngong@users.noreply.github.com> Co-authored-by: gongwn1 <gongwn1@lenovo.com> Co-authored-by: Mirna Wong <89008547+mirnawong1@users.noreply.github.com> Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: maang-h <55082429+maang-h@users.noreply.github.com> Co-authored-by: asafg <asafg@ai21.com> Co-authored-by: Asaf Joseph Gardin <39553475+Josephasafg@users.noreply.github.com>	3 months ago
ccurme	5536420bee	openai[patch]: add comment (#23595) ... Forgot to push this to https://github.com/langchain-ai/langchain/pull/23551	3 months ago
andrewmjc	9f0f3c7e29	partners[openai]: Add name field to tool message to match OpenAI spec (#23551) ... Discovered alongside @t968914 - **Description:** According to OpenAI docs, tool messages (response from calling tools) must have a 'name' field. https://cookbook.openai.com/examples/how_to_call_functions_with_chat_models - **Issue:** N/A (as of right now) - **Dependencies:** N/A - **Twitter handle:** N/A 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
Krista Pratico	85e36b0f50	partners[openai]: only add stream_options to kwargs if requested (#23552) ... - **Description:** This PR https://github.com/langchain-ai/langchain/pull/22854 added the ability to pass `stream_options` through to the openai service to get token usage information in the response. Currently OpenAI supports this parameter, but Azure OpenAI does not yet. For users who proxy their calls to both services through ChatOpenAI, this breaks when targeting Azure OpenAI (see related discussion opened in openai-python: https://github.com/openai/openai-python/issues/1469#issuecomment-2192658630). > Error code: 400 - {'error': {'code': None, 'message': 'Unrecognized request argument supplied: stream_options', 'param': None, 'type': 'invalid_request_error'}} This PR fixes the issue by only adding `stream_options` to the request if it's actually requested by the user (i.e. set to True). If I'm not mistaken, we have a test case that already covers this scenario: https://github.com/langchain-ai/langchain/blob/master/libs/partners/openai/tests/integration_tests/chat_models/test_base.py#L398-L399 - **Issue:** Issue opened in openai-python: https://github.com/openai/openai-python/issues/1469 - **Dependencies:** N/A - **Twitter handle:** N/A --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
ccurme	5bfcb898ad	openai[patch]: bump sdk version (#23592) ... Tests failing with `TypeError: Completions.create() got an unexpected keyword argument 'parallel_tool_calls'`	3 months ago
Bagatur	a7ab93479b	anthropic[patch]: Release 0.1.16 (#23549)	3 months ago
Jib	c0fcf76e93	LangChain-MongoDB: [Experimental] Driver-side index creation helper (#19359) ... ## Description Created a helper method to make vector search indexes via client-side pymongo. **Recent Update** -- Removed error suppressing/overwriting layer in favor of letting the original exception provide information. ## ToDo's - [x] Make _wait_untils for integration test delete index functionalities. - [x] Add documentation for its use. Highlight it's experimental - [x] Post Integration Test Results in a screenshot - [x] Get review from MongoDB internal team (@shaneharvey, @blink1073 , @NoahStapp , @caseyclements) - [x] **Add tests and docs**: If you're adding a new integration, please include 1. Added new integration tests. Not eligible for unit testing since the operation is Atlas Cloud specific. 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/	3 months ago
Roman Solomatin	1e3e05b0c3	openai[patch]: add support for extra_body (#23404) ... **Description:** Add support passing extra_body parameter Some OpenAI compatible API's have additional parameters (for example [vLLM](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html#extra-parameters)) that can be passed thought `extra_body`. Same question in https://github.com/openai/openai-python/issues/767 <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. -->	3 months ago
Isaac Francisco	85f5d14cef	[docs]: split up tool docs (#22919)	3 months ago
Bagatur	92ac0fc9bd	openai[patch]: Release 0.1.10 (#23410)	3 months ago
Bagatur	9d145b9630	openai[patch]: fix tool calling token counting (#23408) ... Resolves https://github.com/langchain-ai/langchain/issues/23388	3 months ago
wenngong	af620db9c7	partners: add lint docstrings for azure-dynamic-sessions/together modules (#23303) ... Description: add lint docstrings for azure-dynamic-sessions/together modules Issue: #23188 @baskaryan test: ruff check passed. <img width="782" alt="image" src="https://github.com/langchain-ai/langchain/assets/76683249/bf11783d-65b3-4e56-a563-255eae89a3e4"> --------- Co-authored-by: gongwn1 <gongwn1@lenovo.com>	3 months ago
Luis Rueda	168e9ed3a5	partners: add custom options to MongoDBChatMessageHistory (#22944) ... **Description:** Adds options for configuring MongoDBChatMessageHistory (no breaking changes): - session_id_key: name of the field that stores the session id - history_key: name of the field that stores the chat history - create_index: whether to create an index on the session id field - index_kwargs: additional keyword arguments to pass to the index creation **Discussion:** https://github.com/langchain-ai/langchain/discussions/22918 **Twitter handle:** @userlerueda --------- Co-authored-by: Jib <Jibzade@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
ccurme	e1190c8f3c	mongodb[patch]: fix CI for python 3.12 (#23369)	3 months ago
Bagatur	bcac6c3aff	openai[patch]: temp fix ignore lint (#23290)	3 months ago
wenngong	f9aea3db07	partners: add lint docstrings for chroma module (#23249) ... Description: add lint docstrings for chroma module Issue: the issue #23188 @baskaryan test: ruff check passed.  --------- Co-authored-by: gongwn1 <gongwn1@lenovo.com>	3 months ago
Vwake04	0deb98ac0c	pinecone: Fix multiprocessing issue in PineconeVectorStore (#22571) ... **Description:** Currently, the `langchain_pinecone` library forces the `async_req` (asynchronous required) argument to Pinecone to `True`. This design choice causes problems when deploying to environments that do not support multiprocessing, such as AWS Lambda. In such environments, this restriction can prevent users from successfully using `langchain_pinecone`. This PR introduces a change that allows users to specify whether they want to use asynchronous requests by passing the `async_req` parameter through `**kwargs`. By doing so, users can set `async_req=False` to utilize synchronous processing, making the library compatible with AWS Lambda and other environments that do not support multithreading. **Issue:** This PR does not address a specific issue number but aims to resolve compatibility issues with AWS Lambda by allowing synchronous processing. **Dependencies:** None, that I'm aware of. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
ccurme	75c7c3a1a7	openai: release 0.1.9 (#23263)	3 months ago
Cory Waddingham	cd6812342e	pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094) ... This change updates the requirements in `libs/partners/pinecone/pyproject.toml` to allow all versions of `pinecone-client` greater than or equal to 3.2.2. This change resolves issue [21955](https://github.com/langchain-ai/langchain/issues/21955). --------- Co-authored-by: Erick Friis <erickfriis@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Julian Weng	6a1a0d977a	partners[minor]: Fix value error message for with_structured_output (#22877) ... Currently, calling `with_structured_output()` with an invalid method argument raises `Unrecognized method argument. Expected one of 'function_calling' or 'json_format'`, but the JSON mode option [is now referred to](https://python.langchain.com/v0.2/docs/how_to/structured_output/#the-with_structured_output-method) by `'json_mode'`. This fixes that. Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	3 months ago
Leonid Ganeline	41f7620989	huggingface: docstrings (#23148) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference) Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
ccurme	066a5a209f	huggingface[patch]: fix CI for python 3.12 (#23197)	3 months ago
shaunakgodbole	7193634ae6	fireworks[patch]: fix api_key alias in Fireworks LLM (#23118) ... Thank you for contributing to LangChain! **Description** The current code snippet for `Fireworks` had incorrect parameters. This PR fixes those parameters. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Bagatur	8698cb9b28	infra: add more formatter rules to openai (#23189) ... Turns on https://docs.astral.sh/ruff/settings/#format_docstring-code-format and https://docs.astral.sh/ruff/settings/#format_skip-magic-trailing-comma ```toml [tool.ruff.format] docstring-code-format = true skip-magic-trailing-comma = true ```	3 months ago
Erick Friis	48d6ea427f	upstage: move to external repo (#22506)	3 months ago
Bagatur	0a4ee864e9	openai[patch]: image token counting (#23147) ... Resolves #23000 --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Leonid Ganeline	50484be330	prompty: docstring (#23152) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference) --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Leonid Ganeline	a70b7a688e	ai21: docstrings (#23142) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference)	3 months ago
Leonid Ganeline	109a70fc64	ibm: docstrings (#23149) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference)	3 months ago
Bagatur	93d0ad97fe	anthropic[patch]: test image input (#23155)	3 months ago
Leonid Ganeline	3dfd055411	anthropic: docstrings (#23145) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference)	3 months ago
Bagatur	90559fde70	openai[patch], standard-tests[patch]: don't pass in falsey stop vals (#23153) ... adds an image input test to standard-tests as well	3 months ago
Bagatur	093ae04d58	core[patch]: Pin pydantic in py3.12.4 (#23130)	3 months ago
Bagatur	d96f67b06f	standard-tests[patch]: Update chat model standard tests (#22378) ... - Refactor standard test classes to make them easier to configure - Update openai to support stop_sequences init param - Update groq to support stop_sequences init param - Update fireworks to support max_retries init param - Update ChatModel.bind_tools to type tool_choice - Update groq to handle tool_choice="any". **this may be controversial** --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
ccurme	722c8f50ea	openai[patch]: add stream_usage parameter (#22854) ... Here we add `stream_usage` to ChatOpenAI as: 1. a boolean attribute 2. a kwarg to _stream and _astream. Question: should the `stream_usage` attribute be `bool`, or `bool | None`? Currently I've kept it `bool` and defaulted to False. It was implemented on [ChatAnthropic](e832bbb486/libs/partners/anthropic/langchain_anthropic/chat_models.py (L535)) as a bool. However, to maintain support for users who access the behavior via OpenAI's `stream_options` param, this ends up being possible: ```python llm = ChatOpenAI(model_kwargs={"stream_options": {"include_usage": True}}) assert not llm.stream_usage ``` (and this model will stream token usage). Some options for this: - it's ok - make the `stream_usage` attribute bool or None - make an \_\_init\_\_ for ChatOpenAI, set a `._stream_usage` attribute and read `.stream_usage` from a property Open to other ideas as well.	3 months ago
Hakan Özdemir	c437b1aab7	[Partner]: Add metadata to stream response (#22716) ... Adds `response_metadata` to stream responses from OpenAI. This is returned with `invoke` normally, but wasn't implemented for `stream`. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	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
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
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
ccurme	b626c3ca23	groq[patch]: add usage_metadata to (a)invoke and (a)stream (#22834)	3 months ago
ccurme	936aedd10c	mistral[patch]: add usage_metadata to (a)invoke and (a)stream (#22781)	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>	4 months ago
ccurme	f9fdca6cc2	openai: add `parallel_tool_calls` to api ref (#22746) ... 	4 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>	4 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} ```	4 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	4 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.	4 months ago
ccurme	b57aa89f34	multiple: implement ls_params (#22621) ... implement ls_params for ai21, fireworks, groq.	4 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.	4 months ago
ccurme	3999761201	multiple: add `stop` attribute (#22573)	4 months ago
ccurme	e08879147b	Revert "anthropic: stream token usage" (#22624) ... Reverts langchain-ai/langchain#20180	4 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>	4 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>	4 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.	4 months ago
ccurme	35f4aa927b	together[patch]: Release 0.1.3 (#22615)	4 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	4 months ago
Bagatur	b2daba37c7	nomic[patch]: Release 0.1.2 (#22561)	4 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>	4 months ago
Erick Friis	4050d6ea2b	huggingface: remove text-generation dep (#22543)	4 months ago