358 Commits (9bb5157a3d739541dd59b703eb04361a030faa11)

Author	SHA1	Message	Date
Neli Hateva	9bb5157a3d	langchain[patch], community[patch]: Fixes in the Ontotext GraphDB Graph and QA Chain (#17239) ... - **Description:** Fixes in the Ontotext GraphDB Graph and QA Chain related to the error handling in case of invalid SPARQL queries, for which `prepareQuery` doesn't throw an exception, but the server returns 400 and the query is indeed invalid - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	7 months ago
ByeongUk Choi	b88329e9a5	community[patch]: Implement Unique ID Enforcement in FAISS (#17244) ... **Description:** Implemented unique ID validation in the FAISS component to ensure all document IDs are distinct. This update resolves issues related to non-unique IDs, such as inconsistent behavior during deletion processes.	7 months ago
Bassem Yacoube	4e3ed7f043	community[patch]: octoai embeddings bug fix (#17216) ... fixes a bug in octoa_embeddings provider	7 months ago
Eugene Yurtsev	780e84ae79	community[minor]: SQLDatabase Add fetch mode `cursor`, query parameters, query by selectable, expose execution options, and documentation (#17191) ... - **Description:** Improve `SQLDatabase` adapter component to promote code re-use, see [suggestion](https://github.com/langchain-ai/langchain/pull/16246#pullrequestreview-1846590962). - **Needed by:** GH-16246 - **Addressed to:** @baskaryan, @cbornet ## Details - Add `cursor` fetch mode - Accept SQL query parameters - Accept both `str` and SQLAlchemy selectables as query expression - Expose `execution_options` - Documentation page (notebook) about `SQLDatabase` [^1] See [About SQLDatabase](https://github.com/langchain-ai/langchain/blob/c1c7b763/docs/docs/integrations/tools/sql_database.ipynb). [^1]: Apparently there hasn't been any yet? --------- Co-authored-by: Andreas Motl <andreas.motl@crate.io>	7 months ago
Tomaz Bratanic	7e4b676d53	community[patch]: Better error propagation for neo4jgraph (#17190) ... There are other errors that could happen when refreshing the schema, so we want to propagate specific errors for more clarity	7 months ago
Luiz Ferreira	34d2daffb3	community[patch]: Fix chat openai unit test (#17124) ... - **Description:** Actually the test named `test_openai_apredict` isn't testing the apredict method from ChatOpenAI. - **Twitter handle:** https://twitter.com/OAlmofadas	7 months ago
Dmitry Kankalovich	f92738a6f6	langchain[minor], community[minor], core[minor]: Async Cache support and AsyncRedisCache (#15817) ... * This PR adds async methods to the LLM cache. * Adds an implementation using Redis called AsyncRedisCache. * Adds a docker compose file at the /docker to help spin up docker * Updates redis tests to use a context manager so flushing always happens by default	7 months ago
Bagatur	6f1403b9b6	community[patch]: Release 0.0.19 (#17207) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	af74301ab9	core[patch], community[patch]: link extraction continue on failure (#17200)	7 months ago
Erick Friis	22b6a03a28	infra: read min versions (#17135)	7 months ago
Bagatur	226f376d59	community[patch]: Release 0.0.18 (#17129) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Frank	ef082c77b1	community[minor]: add github file loader to load any github file content b… (#15305) ... ### Description support load any github file content based on file extension. Why not use [git loader](https://python.langchain.com/docs/integrations/document_loaders/git#load-existing-repository-from-disk) ? git loader clones the whole repo even only interested part of files, that's too heavy. This GithubFileLoader only downloads that you are interested files. ### Twitter handle my twitter: @shufanhaotop --------- Co-authored-by: Hao Fan <h_fan@apple.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Ryan Kraus	f027696b5f	community: Added new Utility runnables for NVIDIA Riva. (#15966) ... **Please tag this issue with `nvidia_genai`** - **Description:** Added new Runnables for integration NVIDIA Riva into LCEL chains for Automatic Speech Recognition (ASR) and Text To Speech (TTS). - **Issue:** N/A - **Dependencies:** To use these runnables, the NVIDIA Riva client libraries are required. It they are not installed, an error will be raised instructing how to install them. The Runnables can be safely imported without the riva client libraries. - **Twitter handle:** N/A All of the Riva Runnables are inside a single folder in the Utilities module. In this folder are four files: - common.py - Contains all code that is common to both TTS and ASR - stream.py - Contains a class representing an audio stream that allows the end user to put data into the stream like a queue. - asr.py - Contains the RivaASR runnable - tts.py - Contains the RivaTTS runnable The following Python function is an example of creating a chain that makes use of both of these Runnables: ```python def create( config: Configuration, audio_encoding: RivaAudioEncoding, sample_rate: int, audio_channels: int = 1, ) -> Runnable[ASRInputType, TTSOutputType]: """Create a new instance of the chain.""" _LOGGER.info("Instantiating the chain.") # create the riva asr client riva_asr = RivaASR( url=str(config.riva_asr.service.url), ssl_cert=config.riva_asr.service.ssl_cert, encoding=audio_encoding, audio_channel_count=audio_channels, sample_rate_hertz=sample_rate, profanity_filter=config.riva_asr.profanity_filter, enable_automatic_punctuation=config.riva_asr.enable_automatic_punctuation, language_code=config.riva_asr.language_code, ) # create the prompt template prompt = PromptTemplate.from_template("{user_input}") # model = ChatOpenAI() model = ChatNVIDIA(model="mixtral_8x7b") # type: ignore # create the riva tts client riva_tts = RivaTTS( url=str(config.riva_asr.service.url), ssl_cert=config.riva_asr.service.ssl_cert, output_directory=config.riva_tts.output_directory, language_code=config.riva_tts.language_code, voice_name=config.riva_tts.voice_name, ) # construct and return the chain return {"user_input": riva_asr} | prompt | model | riva_tts # type: ignore ``` The following code is an example of creating a new audio stream for Riva: ```python input_stream = AudioStream(maxsize=1000) # Send bytes into the stream for chunk in audio_chunks: await input_stream.aput(chunk) input_stream.close() ``` The following code is an example of how to execute the chain with RivaASR and RivaTTS ```python output_stream = asyncio.Queue() while not input_stream.complete: async for chunk in chain.astream(input_stream): output_stream.put(chunk) ``` Everything should be async safe and thread safe. Audio data can be put into the input stream while the chain is running without interruptions. --------- Co-authored-by: Hayden Wolff <hwolff@nvidia.com> Co-authored-by: Hayden Wolff <hwolff@Haydens-Laptop.local> Co-authored-by: Hayden Wolff <haydenwolff99@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
François Paupier	929f071513	community[patch]: Fix error in `LlamaCpp` community LLM with Configurable Fields, 'grammar' custom type not available (#16995) ... - **Description:** Ensure the `LlamaGrammar` custom type is always available when instantiating a `LlamaCpp` LLM - **Issue:** #16994 - **Dependencies:** None - **Twitter handle:** @fpaupier --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Scott Nath	10bd901139	infra: add integration_tests and coverage to MAKEFILE (#17053) ... - **Description: update community MAKE file** - adds `integration_tests` - adds `coverage` - **Issue:** the issue # it fixes if applicable, - moving out of https://github.com/langchain-ai/langchain/pull/17014 - **Dependencies:** n/a - **Twitter handle:** @scottnath - **Mastodon handle:** scottnath@mastodon.social --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bagatur	6e2ed9671f	infra: fix breebs test lint (#17075)	7 months ago
Alex Boury	334b6ebdf3	community[minor]: Breebs docs retriever (#16578) ... - **Description:** Implementation of breeb retriever with integration tests -> libs/community/tests/integration_tests/retrievers/test_breebs.py and documentation (notebook) -> docs/docs/integrations/retrievers/breebs.ipynb. - **Dependencies:** None	7 months ago
Serena Ruan	9b279ac127	community[patch]: MLflow callback update (#16687) ... Signed-off-by: Serena Ruan <serena.rxy@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Mohammad Mohtashim	3c4b24b69a	community[patch]: Fix the _call of HuggingFaceHub (#16891) ... Fixed the following identified issue: #16849 @baskaryan	7 months ago
Tyler Titsworth	304f3f5fc1	community[patch]: Add Progress bar to HuggingFaceEmbeddings (#16758) ... - **Description:** Adds a function parameter to HuggingFaceEmbeddings called `show_progress` that enables a `tqdm` progress bar if enabled. Does not function if `multi_process = True`. - **Issue:** n/a - **Dependencies:** n/a	7 months ago
Supreet Takkar	ae33979813	community[patch]: Allow adding ARNs as model_id to support Amazon Bedrock custom models (#16800) ... - **Description:** Adds an additional class variable to `BedrockBase` called `provider` that allows sending a model provider such as amazon, cohere, ai21, etc. Up until now, the model provider is extracted from the `model_id` using the first part before the `.`, such as `amazon` for `amazon.titan-text-express-v1` (see [supported list of Bedrock model IDs here](https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids-arns.html)). But for custom Bedrock models where the ARN of the provisioned throughput must be supplied, the `model_id` is like `arn:aws:bedrock:...` so the `model_id` cannot be extracted from this. A model `provider` is required by the LangChain Bedrock class to perform model-based processing. To allow the same processing to be performed for custom-models of a specific base model type, passing this `provider` argument can help solve the issues. The alternative considered here was the use of `provider.arn:aws:bedrock:...` which then requires ARN to be extracted and passed separately when invoking the model. The proposed solution here is simpler and also does not cause issues for current models already using the Bedrock class. - **Issue:** N/A - **Dependencies:** N/A --------- Co-authored-by: Piyush Jain <piyushjain@duck.com>	7 months ago
Bagatur	66e45e8ab7	community[patch]: chat model mypy fixes (#17061) ... Related to #17048	7 months ago
Bagatur	d93de71d08	community[patch]: chat message history mypy fixes (#17059) ... Related to #17048	7 months ago
Bagatur	af5ae24af2	community[patch]: callbacks mypy fixes (#17058) ... Related to #17048	7 months ago
Bagatur	e7b3290d30	community[patch]: fix agent_toolkits mypy (#17050) ... Related to #17048	7 months ago
Erick Friis	6ffd5b15bc	pinecone: init pkg (#16556) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
Harrison Chase	4eda647fdd	infra: add -p to mkdir in lint steps (#17013) ... Previously, if this did not find a mypy cache then it wouldnt run this makes it always run adding mypy ignore comments with existing uncaught issues to unblock other prs --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	7 months ago
Christophe Bornet	2ef69fe11b	Add async methods to BaseChatMessageHistory and BaseMemory (#16728) ... Adds: * async methods to BaseChatMessageHistory * async methods to ChatMessageHistory * async methods to BaseMemory * async methods to BaseChatMemory * async methods to ConversationBufferMemory * tests of ConversationBufferMemory's async methods **Twitter handle:** cbornet_	7 months ago
Killinsun - Ryota Takeuchi	bcfce146d8	community[patch]: Correct the calling to collection_name in qdrant (#16920) ... ## Description In #16608, the calling `collection_name` was wrong. I made a fix for it. Sorry for the inconvenience! ## Issue https://github.com/langchain-ai/langchain/issues/16962 ## Dependencies N/A <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Kumar Shivendu <kshivendu1@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Erick Friis	b1a847366c	community: revert SQL Stores (#16912) ... This reverts commit cfc225ecb3. https://github.com/langchain-ai/langchain/pull/15909#issuecomment-1922418097 These will have existed in langchain-community 0.0.16 and 0.0.17.	7 months ago
Leonid Ganeline	c2ca6612fe	refactor `langchain.prompts.example_selector` (#15369) ... The `langchain.prompts.example_selector` [still holds several artifacts](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.prompts) that belongs to `community`. If they moved to `langchain_community.example_selectors`, the `langchain.prompts` namespace would be effectively removed which is great. - moved a class and afunction to `langchain_community` Note: - Previously, the `langchain.prompts.example_selector` artifacts were moved into the `langchain_core.exampe_selectors`. See the flattened namespace (`.prompts` was removed)! Similar flattening was implemented for the `langchain_core` as the `langchain_core.exampe_selectors`. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Christophe Bornet	9d458d089a	community: Factorize AstraDB components constructors (#16779) ... * Adds `AstraDBEnvironment` class and use it in `AstraDBLoader`, `AstraDBCache`, `AstraDBSemanticCache`, `AstraDBBaseStore` and `AstraDBChatMessageHistory` * Create an `AsyncAstraDB` if we only have an `AstraDB` and vice-versa so: * we always have an instance of `AstraDB` * we always have an instance of `AsyncAstraDB` for recent versions of astrapy * Create collection if not exists in `AstraDBBaseStore` * Some typing improvements Note: `AstraDB` `VectorStore` not using `AstraDBEnvironment` at the moment. This will be done after the `langchain-astradb` package is out.	7 months ago
Bagatur	2b4abed25c	commmunity[patch]: Release 0.0.17 (#16871)	7 months ago
Christophe Bornet	af8c5c185b	langchain[minor],community[minor]: Add async methods in BaseLoader (#16634) ... Adds: * methods `aload()` and `alazy_load()` to interface `BaseLoader` * implementation for class `MergedDataLoader ` * support for class `BaseLoader` in async function `aindex()` with unit tests Note: this is compatible with existing `aload()` methods that some loaders already had. **Twitter handle:** @cbornet_ --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	7 months ago
Raphael	bf9068516e	community[minor]: add the ability to load existing transcripts from AssemblyAI by their id. (#16051) ... - **Description:** the existing AssemblyAI API allows to pass a path or an url to transcribe an audio file and turn in into Langchain Documents, this PR allows to get existing transcript by their transcript id and turn them into Documents. - **Issue:** not related to an existing issue - **Dependencies:** requests --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Bagatur	daf820c77b	community[patch]: undo create_sql_agent breaking (#16797)	7 months ago
Bagatur	b0347f3e2b	docs: add csv use case (#16756)	7 months ago
Alexander Conway	4acd2654a3	Report which file was errored on in DirectoryLoader (#16790) ... The current implementation leaves it up to the particular file loader implementation to report the file on which an error was encountered - in my case pdfminer was simply saying it could not parse a file as a PDF, but I didn't know which of my hundreds of files it was failing on. No reason not to log the particular item on which an error was encountered, and it should be an immense debugging assistant. <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
Bob Lin	546b757303	community: Add ChatGLM3 (#15265) ... Add [ChatGLM3](https://github.com/THUDM/ChatGLM3) and updated [chatglm.ipynb](https://python.langchain.com/docs/integrations/llms/chatglm) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Marina Pliusnina	a1ce7ab672	adding parameter for changing the language in SpacyEmbeddings (#15743) ... Description: Added the parameter for a possibility to change a language model in SpacyEmbeddings. The default value is still the same: "en_core_web_sm", so it shouldn't affect a code which previously did not specify this parameter, but it is not hard-coded anymore and easy to change in case you want to use it with other languages or models. Issue: At Barcelona Supercomputing Center in Aina project (https://github.com/projecte-aina), a project for Catalan Language Models and Resources, we would like to use Langchain for one of our current projects and we would like to comment that Langchain, while being a very powerful and useful open-source tool, is pretty much focused on English language. We would like to contribute to make it a bit more adaptable for using with other languages. Dependencies: This change requires the Spacy library and a language model, specified in the model parameter. Tag maintainer: @dev2049 Twitter handle: @projecte_aina --------- Co-authored-by: Marina Pliusnina <marina.pliusnina@bsc.es> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
Christophe Bornet	744070ee85	Add async methods for the AstraDB VectorStore (#16391) ... - **Description**: fully async versions are available for astrapy 0.7+. For older astrapy versions or if the user provides a sync client without an async one, the async methods will call the sync ones wrapped in `run_in_executor` - **Twitter handle:** cbornet_	7 months ago
baichuan-assistant	f8f2649f12	community: Add Baichuan LLM to community (#16724) ... Replace this entire comment with: - **Description:** Add Baichuan LLM to integration/llm, also updated related docs. Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>	7 months ago
thiswillbeyourgithub	1d082359ee	community: add support for callable filters in FAISS (#16190) ... - **Description:** Filtering in a FAISS vectorstores is very inflexible and doesn't allow that many use case. I think supporting callable like this enables a lot: regular expressions, condition on multiple keys etc. **Note** I had to manually alter a test. I don't understand if it was falty to begin with or if there is something funky going on. - **Issue:** None - **Dependencies:** None - **Twitter handle:** None Signed-off-by: thiswillbeyourgithub <26625900+thiswillbeyourgithub@users.noreply.github.com>	7 months ago
Killinsun - Ryota Takeuchi	52f4ad8216	community: Add new fields in metadata for qdrant vector store (#16608) ... ## Description The PR is to return the ID and collection name from qdrant client to metadata field in `Document` class. ## Issue The motivation is almost same to [11592](https://github.com/langchain-ai/langchain/issues/11592) Returning ID is useful to update existing records in a vector store, but we cannot know them if we use some retrievers. In order to avoid any conflicts, breaking changes, the new fields in metadata have a prefix `_` ## Dependencies N/A ## Twitter handle @kill_in_sun <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
hulitaitai	32cad38ec6	<langchain_community\llms\chatglm.py>: <Correcting "history"> (#16729) ... Use the real "history" provided by the original program instead of putting "None" in the history. - **Description:** I change one line in the code to make it return the "history" of the chat model. - **Issue:** At the moment it returns only the answers of the chat model. However the chat model himself provides a history more complet with the questions of the user. - **Dependencies:** no dependencies required for this change,	7 months ago
Bassem Yacoube	85e93e05ed	community[minor]: Update OctoAI LLM, Embedding and documentation (#16710) ... This PR includes updates for OctoAI integrations: - The LLM class was updated to fix a bug that occurs with multiple sequential calls - The Embedding class was updated to support the new GTE-Large endpoint released on OctoAI lately - The documentation jupyter notebook was updated to reflect using the new LLM sdk Thank you!	7 months ago
Volodymyr Machula	32c5be8b73	community[minor]: Connery Tool and Toolkit (#14506) ... ## Summary This PR implements the "Connery Action Tool" and "Connery Toolkit". Using them, you can integrate Connery actions into your LangChain agents and chains. Connery is an open-source plugin infrastructure for AI. With Connery, you can easily create a custom plugin with a set of actions and seamlessly integrate them into your LangChain agents and chains. Connery will handle the rest: runtime, authorization, secret management, access management, audit logs, and other vital features. Additionally, Connery and our community offer a wide range of ready-to-use open-source plugins for your convenience. Learn more about Connery: - GitHub: https://github.com/connery-io/connery-platform - Documentation: https://docs.connery.io - Twitter: https://twitter.com/connery_io ## TODOs - [x] API wrapper - [x] Integration tests - [x] Connery Action Tool - [x] Docs - [x] Example - [x] Integration tests - [x] Connery Toolkit - [x] Docs - [x] Example - [x] Formatting (`make format`) - [x] Linting (`make lint`) - [x] Testing (`make test`)	7 months ago
Harrison Chase	8457c31c04	community[patch]: activeloop ai tql deprecation (#14634) ... Co-authored-by: AdkSarsen <adilkhan@activeloop.ai>	7 months ago
Neli Hateva	c95facc293	langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019) ... - **Description:** Implement Ontotext GraphDB QA Chain - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	7 months ago
Elliot	39eb00d304	community[patch]: Adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory (#15441) ... - **Description:** To adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory, - **Issue:** None, - **Dependencies:** None, - **Twitter handle:** None	7 months ago