4490 Commits (9212c9fcb8d9d2d9b7f89b21185990ee95f8bd5a)

Author	SHA1	Message	Date
mrhbj	9212c9fcb8	community[patch]: fix hunyuan client json analysis (#22452) (#22767) ... Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Rohan Aggarwal	86e8224cf1	community[patch]: Support for old clients (Thin and Thick) Oracle Vector Store (#22766) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" Support for old clients (Thin and Thick) Oracle Vector Store - [ ] **PR message**: ***Delete this entire checklist*** and replace with Support for old clients (Thin and Thick) Oracle Vector Store - [ ] **Add tests and docs**: If you're adding a new integration, please include Have our own local tests --------- Co-authored-by: rohan.aggarwal@oracle.com <rohaagga@phoenix95642.dev3sub2phx.databasede3phx.oraclevcn.com>	3 months ago
Mr. Lance E Sloan «UMich»	84dc2dd059	community[patch]: Load YouTube transcripts (captions) as fixed-duration chunks with start times (#21710) ... - **Description:** Add a new format, `CHUNKS`, to `langchain_community.document_loaders.youtube.YoutubeLoader` which creates multiple `Document` objects from YouTube video transcripts (captions), each of a fixed duration. The metadata of each chunk `Document` includes the start time of each one and a URL to that time in the video on the YouTube website. I had implemented this for UMich (@umich-its-ai) in a local module, but it makes sense to contribute this to LangChain community for all to benefit and to simplify maintenance. - **Issue:** N/A - **Dependencies:** N/A - **Twitter:** lsloan_umich - **Mastodon:** [lsloan@mastodon.social](https://mastodon.social/@lsloan) With regards to **tests and documentation**, most existing features of the `YoutubeLoader` class are not tested. Only the `YoutubeLoader.extract_video_id()` static method had a test. However, while I was waiting for this PR to be reviewed and merged, I had time to add a test for the chunking feature I've proposed in this PR. I have added an example of using chunking to the `docs/docs/integrations/document_loaders/youtube_transcript.ipynb` notebook. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Aayush Kataria	71811e0547	community[minor]: Adds a vector store for Azure Cosmos DB for NoSQL (#21676) ... This PR add supports for Azure Cosmos DB for NoSQL vector store. Summary: Description: added vector store integration for Azure Cosmos DB for NoSQL Vector Store, Dependencies: azure-cosmos dependency, Tag maintainer: @hwchase17, @baskaryan @efriis @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Mohammad Mohtashim	36cad5d25c	[Community]: Added Metadata filter support for DocumentDB Vector Store (#22777) ... - **Description:** As pointed out in this issue #22770, DocumentDB `similarity_search` does not support filtering through metadata which this PR adds by passing in the parameter `filter`. Also this PR fixes a minor Documentation error. - **Issue:** #22770 --------- Co-authored-by: Erick Friis <erickfriis@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Dmitry Stepanov	912751e268	Ollama vision support (#22734) ... **Description:** Ollama vision with messages in OpenAI-style support `{ "image_url": { "url": ... } }` **Issue:** #22460 Added flexible solution for ChatOllama to support chat messages with images. Works when you provide either `image_url` as a string or as a dict with "url" inside (like OpenAI does). So it makes available to use tuples with `ChatPromptTemplate.from_messages()` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Philippe PRADOS	0908b01cb2	langchain[minor]: Add native async implementation to LLMFilter, add concurrency to both sync and async paths (#22739) ... Thank you for contributing to LangChain! - [ ] **PR title**: "langchain: Fix chain_filter.py to be compatible with async" - [ ] **PR message**: - **Description:** chain_filter is not compatible with async. - **Twitter handle:** pprados - [X ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Signed-off-by: zhangwangda <zhangwangda94@163.com> Co-authored-by: Prakul <discover.prakul@gmail.com> Co-authored-by: Lei Zhang <zhanglei@apache.org> Co-authored-by: Gin <ictgtvt@gmail.com> Co-authored-by: wangda <38549158+daziz@users.noreply.github.com> Co-authored-by: Max Mulatz <klappradla@posteo.net>	3 months ago
Jaeyeon Kim(김재연)	ce4e29ae42	community[minor]: fix redis store docstring and streamline initialization code (#22730) ... Thank you for contributing to LangChain! ### Description Fix the example in the docstring of redis store. Change the initilization logic and remove redundant check, enhance error message. ### Issue The example in docstring of how to use redis store was wrong.  ### Dependencies Nothing - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
am-kinetica	ad101adec8	community[patch]: Kinetica Integrations handled error in querying; quotes in table names; updated gpudb API (#22724) ... - [ ] **Miscellaneous updates and fixes**: - **Description:** Handled error in querying; quotes in table names; updated gpudb API - **Issue:** Threw an error with an error message difficult to understand if a query failed or returned no records - **Dependencies:** Updated GPUDB API version to `7.2.0.9` @baskaryan @hwchase17	3 months ago
Mathis Joffre	ea43f40daf	community[minor]: Add support for OVHcloud AI Endpoints Embedding (#22667) ... **Description:** Add support for [OVHcloud AI Endpoints](https://endpoints.ai.cloud.ovh.net/) Embedding models. Inspired by: https://gist.github.com/gmasse/e1f99339e161f4830df6be5d0095349a Signed-off-by: Joffref <mariusjoffre@gmail.com>	3 months ago
Erick Friis	2aaf86ddae	core: fix mustache falsy cases (#22747)	3 months ago
Eugene Yurtsev	5a7eac191a	core[patch]: Add missing type annotations (#22756) ... Add missing type annotations. The missing type annotations will raise exceptions with pydantic 2.	3 months ago
Eugene Yurtsev	05d31a2f00	community[patch]: Add missing type annotations (#22758) ... Add missing type annotations to objects in community. These missing type annotations will raise type errors in pydantic 2.	3 months ago
Naka Masato	3237909221	langchain[patch]: allow to use partial variables in create_sql_query_chain (#22688) ... - **Description:** allow to use partial variables to pass `top_k` and `table_info` - **Issue:** no - **Dependencies:** no - **Twitter handle:** @gymnstcs --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Bharat Ramanathan	2b5631a6be	community[patch]: fix `WandbTracer` to work with new "RunV2" API (#22673) ... - **Description:** This PR updates the `WandbTracer` to work with the new RunV2 API so that wandb Traces logging works correctly for new LangChain versions. Here's an example [run](https://wandb.ai/parambharat/langchain-tracing/runs/wpm99ftq) from the existing tests - **Issue:** https://github.com/wandb/wandb/issues/7762 - **Twitter handle:** @ParamBharat _If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17._	3 months ago
Oguz Vuruskaner	f0f4532579	community[patch]: fix deepinfra inference (#22680) ... This PR includes: 1. Update of default model to LLama3. 2. Handle some 400x errors with more user friendly error messages. 3. Handle user errors.	3 months ago
Lucas Tucker	cb79e80b0b	docs: standardize ChatHuggingFace (#22693) ... **Updated ChatHuggingFace doc string as per issue #22296**: "langchain_huggingface: updated docstring for ChatHuggingFace in langchain_huggingface to match that of the description (in the appendix) provided in issue #22296. " **Issue:** This PR is in response to issue #22296, and more specifically ChatHuggingFace model. In particular, this PR updates the docstring for langchain/libs/partners/hugging_face/langchain_huggingface/chat_models/huggingface.py by adding the following sections: Instantiate, Invoke, Stream, Async, Tool calling, and Response metadata. I used the template from the Anthropic implementation and referenced the Appendix of the original issue post. I also noted that: langchain_community hugging face llms do not work with langchain_huggingface's ChatHuggingFace model (at least for me); the .stream(messages) functionality of ChatHuggingFace only returned a block of response. --------- Co-authored-by: lucast2021 <lucast2021@headroyce.org> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Tomaz Bratanic	76a193decc	community[patch]: Add function response to graph cypher qa chain (#22690) ... LLMs struggle with Graph RAG, because it's different from vector RAG in a way that you don't provide the whole context, only the answer and the LLM has to believe. However, that doesn't really work a lot of the time. However, if you wrap the context as function response the accuracy is much better. btw... `union[LLMChain, Runnable]` is linting fun, that's why so many ignores	3 months ago
X-HAN	34edfe4a16	community[minor]: add Volcengine Rerank (#22700) ... **Description:** this PR adds Volcengine Rerank capability to Langchain, you can find Volcengine Rerank API from [here](https://www.volcengine.com/docs/84313/1254474) & [here](https://www.volcengine.com/docs/84313/1254605). [Volcengine](https://www.volcengine.com/) is a cloud service platform developed by ByteDance, the parent company of TikTok. You can obtain Volcengine API AK/SK from [here](https://www.volcengine.com/docs/84313/1254553). **Dependencies:** VolcengineRerank depends on `volcengine` python package. **Twitter handle:** my twitter/x account is https://x.com/LastMonopoly and I'd like a mention, thank you! **Tests and docs** 1. integration test: `test_volcengine_rerank.py` 2. example notebook: `volcengine_rerank.ipynb` **Lint and test**: I have run `make format`, `make lint` and `make test` from the root of the package I've modified.	3 months ago
Mohammad Mohtashim	c3cce98d86	community[patch]: Small Fix in OutlookMessageLoader (Close the Message once Open) (#22744) ... - **Description:** A very small fix where we close the message when it opened - **Issue:** #22729	3 months ago
ccurme	f9fdca6cc2	openai: add `parallel_tool_calls` to api ref (#22746) ... 	3 months ago
Max Mulatz	058a64c563	Community[minor]: Add language parser for Elixir (#22742) ... Hi 👋 First off, thanks a ton for your work on this 💚 Really appreciate what you're providing here for the community. ## Description This PR adds a basic language parser for the [Elixir](https://elixir-lang.org/) programming language. The parser code is based upon the approach outlined in https://github.com/langchain-ai/langchain/pull/13318: it's using `tree-sitter` under the hood and aligns with all the other `tree-sitter` based parses added that PR. The `CHUNK_QUERY` I'm using here is probably not the most sophisticated one, but it worked for my application. It's a starting point to provide "core" parsing support for Elixir in LangChain. It enables people to use the language parser out in real world applications which may then lead to further tweaking of the queries. I consider this PR just the ground work. - **Dependencies:** requires `tree-sitter` and `tree-sitter-languages` from the extended dependencies - **Twitter handle:**`@bitcrowd` ## Checklist - [x] **PR title**: "package: description" - [x] **Add tests and docs** - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. -->	3 months ago
Philippe PRADOS	2d4689d721	langchain[minor]: Add pgvector to list of supported vectorstores in self query retriever (#22678) ... The fact that we outsourced pgvector to another project has an unintended effect. The mapping dictionary found by `_get_builtin_translator()` cannot recognize the new version of pgvector because it comes from another package. `SelfQueryRetriever` no longer knows `PGVector`. I propose to fix this by creating a global dictionary that can be populated by various database implementations. Thus, importing `langchain_postgres` will allow the registration of the `PGvector` mapping. But for the moment I'm just adding a lazy import Furthermore, the implementation of _get_builtin_translator() reconstructs the BUILTIN_TRANSLATORS variable with each invocation, which is not very efficient. A global map would be an optimization. - **Twitter handle:** pprados @eyurtsev, can you review this PR? And unlock the PR [Add async mode for pgvector](https://github.com/langchain-ai/langchain-postgres/pull/32) and PR [community[minor]: Add SQL storage implementation](https://github.com/langchain-ai/langchain/pull/22207)? Are you in favour of a global dictionary-based implementation of Translator?	3 months ago
Enzo Poggio	8f019e91d7	community[patch]: Use Custom Logger Instead of Root Logger in get_user_agent Function (#22691) ... ## Description This PR addresses a logging inconsistency in the `get_user_agent` function. Previously, the function was using the root logger to log a warning message when the "USER_AGENT" environment variable was not set. This bypassed the custom logger `log` that was created at the start of the module, leading to potential inconsistencies in logging behavior. Changes: - Replaced `logging.warning` with `log.warning` in the `get_user_agent` function to ensure that the custom logger is used. This change ensures that all logging in the `get_user_agent` function respects the configurations of the custom logger, leading to more consistent and predictable logging behavior. ## Dependencies None ## Issue None ## Tests and docs ☝🏻 see description ## `make format`, `make lint` & `cd libs/community; make test` ```shell > make format poetry run ruff format docs templates cookbook 1417 files left unchanged poetry run ruff check --select I --fix docs templates cookbook All checks passed! ``` ```shell > make lint poetry run ruff check docs templates cookbook All checks passed! poetry run ruff format docs templates cookbook --diff 1417 files already formatted poetry run ruff check --select I docs templates cookbook All checks passed! git grep 'from langchain import' docs/docs templates cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0 ``` ~cd libs/community; make test~ too much dependencies for integration ... ```shell > poetry run pytest tests/unit_tests .... ==== 884 passed, 466 skipped, 4447 warnings in 15.93s ==== ``` I choose you randomly : @ccurme	3 months ago
Philippe PRADOS	9aabb446c5	community[minor]: Add SQL storage implementation (#22207) ... Hello @eyurtsev - package: langchain-comminity - **Description**: Add SQL implementation for docstore. A new implementation, in line with my other PR ([async PGVector](https://github.com/langchain-ai/langchain-postgres/pull/32), [SQLChatMessageMemory](https://github.com/langchain-ai/langchain/pull/22065)) - Twitter handler: pprados --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Piotr Mardziel <piotrm@gmail.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Nithish Raghunandanan	f2f0e0e13d	couchbase: Add the initial version of Couchbase partner package (#22087) ... Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Cahid Arda Öz	6c07eb0c12	community[minor]: Add UpstashRatelimitHandler (#21885) ... Adding `UpstashRatelimitHandler` callback for rate limiting based on number of chain invocations or LLM token usage. For more details, see [upstash/ratelimit-py repository](https://github.com/upstash/ratelimit-py) or the notebook guide included in this PR. Twitter handle: @cahidarda --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Erick Friis	9e03864d64	core: add error message for non-structured llm to StructuredPrompt (#22684) ... previously was the blank `NotImplementedError` from `BaseLanguageModel.with_structured_output`	3 months ago
ccurme	f32d57f6f0	anthropic: refactor streaming to use events api; add streaming usage metadata (#22628) ... - Refactor streaming to use raw events; - Add `stream_usage` class attribute and kwarg to stream methods that, if True, will include separate chunks in the stream containing usage metadata. There are two ways to implement streaming with anthropic's python sdk. They have slight differences in how they surface usage metadata. 1. [Use helper functions](https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#streaming-helpers). This is what we are doing now. ```python count = 1 with client.messages.stream(**params) as stream: for text in stream.text_stream: snapshot = stream.current_message_snapshot print(f"{count}: {snapshot.usage} -- {text}") count = count + 1 final_snapshot = stream.get_final_message() print(f"{count}: {final_snapshot.usage}") ``` ``` 1: Usage(input_tokens=8, output_tokens=1) -- Hello 2: Usage(input_tokens=8, output_tokens=1) -- ! 3: Usage(input_tokens=8, output_tokens=1) -- How 4: Usage(input_tokens=8, output_tokens=1) -- can 5: Usage(input_tokens=8, output_tokens=1) -- I 6: Usage(input_tokens=8, output_tokens=1) -- assist 7: Usage(input_tokens=8, output_tokens=1) -- you 8: Usage(input_tokens=8, output_tokens=1) -- today 9: Usage(input_tokens=8, output_tokens=1) -- ? 10: Usage(input_tokens=8, output_tokens=12) ``` To do this correctly, we need to emit a new chunk at the end of the stream containing the usage metadata. 2. [Handle raw events](https://github.com/anthropics/anthropic-sdk-python?tab=readme-ov-file#streaming-responses) ```python stream = client.messages.create(**params, stream=True) count = 1 for event in stream: print(f"{count}: {event}") count = count + 1 ``` ``` 1: RawMessageStartEvent(message=Message(id='msg_01Vdyov2kADZTXqSKkfNJXcS', content=[], model='claude-3-haiku-20240307', role='assistant', stop_reason=None, stop_sequence=None, type='message', usage=Usage(input_tokens=8, output_tokens=1)), type='message_start') 2: RawContentBlockStartEvent(content_block=TextBlock(text='', type='text'), index=0, type='content_block_start') 3: RawContentBlockDeltaEvent(delta=TextDelta(text='Hello', type='text_delta'), index=0, type='content_block_delta') 4: RawContentBlockDeltaEvent(delta=TextDelta(text='!', type='text_delta'), index=0, type='content_block_delta') 5: RawContentBlockDeltaEvent(delta=TextDelta(text=' How', type='text_delta'), index=0, type='content_block_delta') 6: RawContentBlockDeltaEvent(delta=TextDelta(text=' can', type='text_delta'), index=0, type='content_block_delta') 7: RawContentBlockDeltaEvent(delta=TextDelta(text=' I', type='text_delta'), index=0, type='content_block_delta') 8: RawContentBlockDeltaEvent(delta=TextDelta(text=' assist', type='text_delta'), index=0, type='content_block_delta') 9: RawContentBlockDeltaEvent(delta=TextDelta(text=' you', type='text_delta'), index=0, type='content_block_delta') 10: RawContentBlockDeltaEvent(delta=TextDelta(text=' today', type='text_delta'), index=0, type='content_block_delta') 11: RawContentBlockDeltaEvent(delta=TextDelta(text='?', type='text_delta'), index=0, type='content_block_delta') 12: RawContentBlockStopEvent(index=0, type='content_block_stop') 13: RawMessageDeltaEvent(delta=Delta(stop_reason='end_turn', stop_sequence=None), type='message_delta', usage=MessageDeltaUsage(output_tokens=12)) 14: RawMessageStopEvent(type='message_stop') ``` Here we implement the second option, in part because it should make things easier when implementing streaming tool calls in the near future. This would add two new chunks to the stream-- one at the beginning and one at the end-- with blank content and containing usage metadata. We add kwargs to the stream methods and a class attribute allowing for this behavior to be toggled. I enabled it by default. If we merge this we can add the same kwargs / attribute to OpenAI. Usage: ```python from langchain_anthropic import ChatAnthropic model = ChatAnthropic( model="claude-3-haiku-20240307", temperature=0 ) full = None for chunk in model.stream("hi"): full = chunk if full is None else full + chunk print(chunk) print(f"\nFull: {full}") ``` ``` content='' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 8, 'output_tokens': 0, 'total_tokens': 8} content='Hello' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='!' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' How' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' can' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' I' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' assist' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' you' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content=' today' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='?' id='run-8a20843f-25c7-4025-ad72-9add395899e3' content='' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 0, 'output_tokens': 12, 'total_tokens': 12} Full: content='Hello! How can I assist you today?' id='run-8a20843f-25c7-4025-ad72-9add395899e3' usage_metadata={'input_tokens': 8, 'output_tokens': 12, 'total_tokens': 20} ```	3 months ago
Bagatur	235d91940d	community[patch]: Release 0.2.4 (#22643)	3 months ago
William FH	be79ce9336	[Core] Unified Enable/Disable Tracing (#22576)	3 months ago
Bagatur	fe2e5a3b74	langchain[patch]: Release 0.2.3 (#22644)	3 months ago
Erick Friis	a24a9c6427	multiple: get rid of pyproject extras (#22581) ... They cause `poetry lock` to take a ton of time, and `uv pip install` can resolve the constraints from these toml files in trivial time (addressing problem with #19153) This allows us to properly upgrade lockfile dependencies moving forward, which revealed some issues that were either fixed or type-ignored (see file comments)	3 months ago
Bagatur	4367e89c9a	core[patch]: Release 0.2.5 (#22642)	3 months ago
Eugene Yurtsev	28f744c1f5	core[patch]: Correctly order parent ids in astream events (from root to immediate parent), add defensive check for cycles (#22637) ... This PR makes two changes: 1. Fixes the order of parent IDs to be from root to immediate parent 2. Adds a simple defensive check for cycles	3 months ago
Eugene Yurtsev	035a9c9609	core[minor]: Add parent_ids to astream_events API (#22563) ... Include a list of parent ids for each event in astream events.	3 months ago
Nicolas Nkiere	51005e2776	core[minor]: Add an async root listener and with_alisteners method (#22151) ... - [x] **Adding AsyncRootListener**: "langchain_core: Adding AsyncRootListener" - **Description:** Adding an AsyncBaseTracer, AsyncRootListener and `with_alistener` function. This is to enable binding async root listener to runnables. This currently only supported for sync listeners. - **Issue:** None - **Dependencies:** None - [x] **Add tests and docs**: Added units tests and example snippet code within the function description of `with_alistener` - [x] **Lint and test**: Run make format_diff, make lint_diff and make test	3 months ago
seyf97	2904c50cd5	openai[patch]: correct grammar in exception message in embeddings/base.py (#22629) ... Correct the grammar error for missing transformers package ValueError	3 months ago
Anush	80560419b0	qdrant[patch]: Make path optional in from_existing_collection() (#21875) ... ## Description The `path` param is used to specify the local persistence directory, which isn't required if using Qdrant server. This is a breaking but necessary change.	3 months ago
ccurme	b57aa89f34	multiple: implement ls_params (#22621) ... implement ls_params for ai21, fireworks, groq.	3 months ago
Xiangrui Meng	f26ab93df8	community: support Databricks Unity Catalog functions as LangChain tools (#22555) ... This PR adds support for using Databricks Unity Catalog functions as LangChain tools, which runs inside a Databricks SQL warehouse. * An example notebook is provided.	3 months ago
ccurme	c1ef731503	anthropic: update attribute name and alias (#22625) ... update name to `stop_sequences` and alias to `stop` (instead of the other way around), since `stop_sequences` is the name used by anthropic.	3 months ago
lucasiscovici	05bf98b2f9	community[patch]: pgvector replace nin_ by not_in (#22619) ... - [ ] **community**: "pgvector: replace nin_ by not_in" - [ ] **PR message**: nin_ do not exist in sqlalchemy orm, it's not_in	3 months ago
ccurme	3999761201	multiple: add `stop` attribute (#22573)	3 months ago
ccurme	e08879147b	Revert "anthropic: stream token usage" (#22624) ... Reverts langchain-ai/langchain#20180	3 months ago
Bagatur	0d495f3f63	anthropic: stream token usage (#20180) ... open to other ideas <img width="1181" alt="Screenshot 2024-04-08 at 5 34 08 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/03eb11c4-5eb5-43e3-9109-a13f76098fa4"> --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Satyam Kumar	17b486a37b	openai, azure: update model_name in ChatResult to use name from API response (#22569) ... The response.get("model", self.model_name) checks if the model key exists in the response dictionary. If it does, it uses that value; otherwise, it uses self.model_name. Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Christophe Bornet	12ddb4fc6f	core[patch]: Use explicit classes for InMemoryByteStore and InMemoryStore (#22608) ... The current implementation doesn't work well with type checking. Instead replace with class definition that correctly works with type checking.	3 months ago
andyjessen	cfed68e06f	docs: Fix description (#22611) ... This commit fixes the description of the hair_color field.	3 months ago
ccurme	1925bde32e	together: bump langchain-core (#22616) ... langchain-together depends on langchain-openai ^0.1.8 langchain-openai 0.1.8 has langchain-core >= 0.2.2 Here we bump langchain-core to 0.2.2, just to pass minimum dependency version tests.	3 months ago