langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	00dfbd2a99	core[minor], langchain[minor]: deprecate old Chain and LLM methods (#15499 )	8 months ago
chyroc	f12b5c1222	Feat: support Milvus more params (#15447 ) fix https://github.com/langchain-ai/langchain/issues/15442	8 months ago
Bagatur	f5e4f0b30b	langchain[minor]: add warnings when importing integrations (#15505 ) Should be imported from community directly	8 months ago
Eugene Yurtsev	bf0b3cc0b5	core[patch]: Further restrict recursive URL loader (#15559 ) Includes code from this PR: https://github.com/langchain-ai/langchain/compare/HEAD...m0kr4n3:security/fix_ssrf with additional fixes Unit tests cover new test cases	8 months ago
Bagatur	817b84de9e	core[patch]: Release 0.1.6 (#15547 )	8 months ago
Bagatur	b2f15738dd	core[patch], langchain[patch], community[patch]: Revert #15326 (#15546 )	8 months ago
Bagatur	6e90b7a91b	langchain[patch]: bump community >=0.0.8,<0.1 (#15492 )	8 months ago
Bagatur	8b7d6531a5	langchain[patch]: Release 0.0.354 (#15482 )	8 months ago
Bagatur	0b579dc623	infra: update community test min reqs (#15490 )	8 months ago
Bagatur	266db0efc8	community[patch]: bump core version >=0.1.5,<0.2 (#15488 )	8 months ago
Bagatur	a2324ee533	community[patch]: Release 0.0.8 (#15481 )	8 months ago
Bagatur	54b58c03db	infra: add minimum deps pre release check (#15485 )	8 months ago
Bagatur	b317ad2472	core[patch]: Release 0.1.5 (#15480 )	8 months ago
Bagatur	baeac236b6	langchain[patch], experimental[patch]: update utilities imports (#15438 )	8 months ago
Harutaka Kawamura	73da8f863c	Remove unused `Params` (#14385 ) <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Removes unused `Params` in `libs/langchain/langchain/llms/mlflow.py`. Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
chyroc	b65e57971e	Patch: improve type hint (#15451 )	8 months ago
Harutaka Kawamura	8ebf55ebbf	Fix `llms.Mlflow` example (#14386 ) <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> The example code for `llms.Mlflow` is outdated. Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Nolan	6c4b5a4eff	Add option to preserve headers in MarkdownHeaderTextSplitter (#14433 ) - Description: `MarkdownHeaderTextSplitter` currently strips header lines from chunked content. Many applications require these header lines are preserved. This adds an optional parameter to preserve those headers in the chunked content. - Issue: #2836 (relevant) - Dependencies: - - Tag maintainer: @baskaryan - Twitter handle: @finnless Unit tests and new examples in notebook included. cc @rlancemartin --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Xin Liu	0a7d360ba4	feat: new integration `wasm_chat` (#14787 ) <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Adds `WasmChat` integration. `WasmChat` runs GGUF models locally or via chat service in lightweight and secure WebAssembly containers. In this PR, `WasmChatService` is introduced as the first step of the integration. `WasmChatService` is driven by [llama-api-server](https://github.com/second-state/llama-utils) and [WasmEdge Runtime](https://wasmedge.org/). --------- Signed-off-by: Xin Liu <sam@secondstate.io>	8 months ago
Leonid Ganeline	2bbee894bb	fixed a dependency duplicate (#15444 ) BaseModel is derived twice. Left only one.	8 months ago
William FH	65afc13b8b	[Improvement] Evals: Add git info (#15446 )	8 months ago
Anush	58cc7878e9	refactor: Qdrant async improvements (#14492 ) Follow up on https://github.com/langchain-ai/langchain/pull/13048. This PR intends to simplify the Qdrant async implementation by replacing the internal GRPC methods with the `QdrantAsyncClient` methods. This is a backward compatible change with no additional steps required after merge. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Li-Lun Lin	cda68d717c	core[patch]: update LanguageModelInput from List to Sequence (#14405 ) Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
JuR-0	4dab37741a	Fix Bedrock broad error catching (#14398 ) Fixes #14347 <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: Added the traceback of the previous error to keep the initial error type, - Issue: #14347 , - Dependencies: None, - Tag maintainer: Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Julien Raffy <julien.raffy@emeria.eu> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
amaleki2	413a56b8f1	adding vectorstore_kwarg attribute to search_similarity function (#14604 ) - Description: the ability to add all extra parameter of vectorstore and using them SemanticSimilarityExampleSelector. - Issue: #14583 - Dependencies: no dependensies - Tag maintainer: - Twitter handle: @AmirMalekiz --------- Co-authored-by: Amir Maleki <amaleki@fb.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bob Lin	e93be14c11	Improvement: Allow passing parameters to the underlying es_client. Closes: #14403 (#14435 ) ### Description In https://github.com/langchain-ai/langchain/issues/14403, the user mentioned that he hopes not to verify ssl and needs to pass more parameters I found that the `Elasticsearch` class [has very many parameters](`98f2af2134/elasticsearch/_sync/client/__init__.py (L131-L191)` ): <img width="1097" alt="Screenshot 2023-12-08 at 4 24 39 PM" src="https://github.com/langchain-ai/langchain/assets/10000925/f2201554-b41a-4388-a8e8-c14a2d0466d4"> In order to adapt to more situations, I want to add the kwargs parameter so that users can enter more `Elasticsearch` parameters. Like [redis](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/vectorstores/redis/base.py#L253), [tair](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/vectorstores/tair.py#L32), [myscale](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/vectorstores/myscale.py#L112) and so on.	8 months ago
codehound42	8aa921d3a4	Support `score_threshold` in SupabaseVectorStore similarity search (#14439 ) Description: Add support for setting the `score_threshold` for similarity search in SupabaseVectoreStore. This pull request addresses issue #14438 Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Antonio Pisani	d4a98e4e04	core: update json output parser (#15079 ) - Description: changed json.py to handle additional cases of partial json string to be parsed, basically by dropping the last character in the string until a valid json string is found or the string is empty. Also added additional test cases. - Issue: function parse_partial_json could not parse cases where the key is present but the value is not. --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	8 months ago
YISH	eecfa81918	Add the collection_description parameter to Milvus (#14524 ) Because Milvus' collection_name doesn't support UFT8 characters in other languages, I want the `collection_descriotion`. <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Evgenii Molov	b4ec340fb3	Fix failing serpapi response processing for Google Maps API (#14817 ) Description: Fix for processing for serpapi response for Google Maps API Issue: Due to the fact corresponding [api](https://serpapi.com/google-maps-api) returns 'local_results' as list, and old version requested `res["local_results"].keys()` of the list. As the result we got exception: ```AttributeError: 'list' object has no attribute 'keys'```. Way to reproduce wrong behaviour: ``` params = { "engine": "google_maps", "type": "search", "google_domain": "google.de", "ll": "@51.1917,10.525,14z", "hl": "de", "gl": "de", } search = SerpAPIWrapper(params=params) results = search.run("cafe") ``` --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Ran <rccalman@gmail.com>	8 months ago
YISH	da0f750a0b	Milvus allows to store metadata as json field (#14636 ) Because Milvus doesn't support nullable fields, but document metadata is very rich, so it makes more sense to store it as json. https://github.com/milvus-io/pymilvus/issues/1705#issuecomment-1731112372 <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bagatur	93e924ec96	langchain[patch], docs: update agent toolkit imports (#15434 )	8 months ago
Ashley Xu	0ce7858529	feat: add Google BigQueryVectorSearch in vectorstore (#14829 ) BigQuery vector search lets you use GoogleSQL to do semantic search, using vector indexes for fast but approximate results, or using brute force for exact results. This PR integrates LangChain vectorstore with BigQuery Vector Search. <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Vlad Kolesnikov <vladkol@google.com>	8 months ago
JaguarDB	02f59c2035	Use args option in jaguar so it takes more options in similarity search (#15080 ) - Description: replace score_threshold with args - Issue: needs a way to pass more options to similarity search - Dependencies: None - Twitter handle: @workbot --------- Co-authored-by: JY <jyjy@jaguardb>	8 months ago
chyroc	37ad6ec248	Refactor: use SecretStr for tongyi chat-model (#15102 )	8 months ago
Shaurya Rohatgi	e1c2cd7a28	community: Semanticscholar tool to search 200M+ scientific articles (#15151 ) - Description: Tool now supports querying over 200 million scientific articles, vastly expanding its reach beyond the 2 million articles accessible through Arxiv. This update significantly broadens access to the entire scope of scientific literature. - Dependencies: semantischolar https://github.com/danielnsilva/semanticscholar - Twitter handle: @shauryr --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
dudub12	7e6b0056b8	SQLDatabase drop the column names in the result. (#15361 ) Fix for the following bug: https://github.com/langchain-ai/langchain/issues/15360 --------- Co-authored-by: dudu butbul <100126964+dudu-upstream@users.noreply.github.com>	8 months ago
chyroc	07d294b5ec	Fix: fix Bing Search empty result exception, fix #15384 (#15387 ) fix https://github.com/langchain-ai/langchain/issues/15384	8 months ago
Bagatur	1678d6ca17	langchain[patch], experimental[patch], docs: update tools imports (#15433 )	8 months ago
Bob Lin	e57e50b213	Remove unused `_get_python_repl` (#15389 ) This part of the code can also be safely cleaned up.	8 months ago
Dariusz Kajtoch	15b6c049d4	core:adds tests for partial_variables (#15427 ) Description: Added small tests to test partial_variables in PromptTemplate. It was missing.	8 months ago
suhas-kotaki	73a628de9a	added fix for key error: doc_id (#15428 ) <!-- 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. -->	8 months ago
Leonid Ganeline	b8c6ebf647	refactor `utils` (#15432 ) The `langchain` [still holds several artifacts](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.utils) that belongs to `community`. If they moved then `langchain.utils` namespace would be removed completely. - moved `ernie_functions` artifacts to `community`	8 months ago
Bagatur	fa5d49f2c1	docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429 ) ran ```bash g grep -l "langchain.vectorstores" \| xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g" g grep -l "langchain.document_loaders" \| xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g" g grep -l "langchain.chat_loaders" \| xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g" g grep -l "langchain.document_transformers" \| xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g" g grep -l "langchain\.graphs" \| xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g" g grep -l "langchain\.memory\.chat_message_histories" \| xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g" gco master libs/langchain/tests/unit_tests//test_imports.py gco master libs/langchain/tests/unit_tests/*/test_public_api.py ```	8 months ago
Harrison Chase	a33d92306c	add get prompts method (#15425 )	8 months ago
Nuno Campos	6810b4b0bc	Use tz-aware utc datetimes in tracer (#15187 ) <!-- 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. -->	8 months ago
Bagatur	480626dc99	docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412 ) …tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' \| xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' \| xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' \| xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```	8 months ago
Nuno Campos	9cbf14dec2	Fetch runnable config from context var inside runnable lambda and runnable generator (#15334 ) - easier to write custom logic/loops with automatic tracing - if you don't want to streaming support write a regular function and pass to RunnableLambda - if you do want streaming write a generator and pass it to RunnableGenerator ```py import json from typing import AsyncIterator from langchain_core.messages import BaseMessage, FunctionMessage, HumanMessage from langchain_core.agents import AgentAction, AgentFinish from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_core.runnables import Runnable, RunnableGenerator, RunnablePassthrough from langchain_core.tools import BaseTool from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser from langchain.chat_models import ChatOpenAI from langchain.tools.render import format_tool_to_openai_function def _get_tavily(): from langchain.tools.tavily_search import TavilySearchResults from langchain.utilities.tavily_search import TavilySearchAPIWrapper tavily_search = TavilySearchAPIWrapper() return TavilySearchResults(api_wrapper=tavily_search) async def _agent_executor_generator( input: AsyncIterator[list[BaseMessage]], *, max_iterations: int = 10, tools: dict[str, BaseTool], agent: Runnable[list[BaseMessage], BaseMessage], parser: Runnable[BaseMessage, AgentAction \| AgentFinish], ) -> AsyncIterator[BaseMessage]: messages = [m async for mm in input for m in mm] for _ in range(max_iterations): next_message = await agent.ainvoke(messages) yield next_message messages.append(next_message) parsed = await parser.ainvoke(next_message) if isinstance(parsed, AgentAction): result = await tools[parsed.tool].ainvoke(parsed.tool_input) next_message = FunctionMessage(name=parsed.tool, content=json.dumps(result)) yield next_message messages.append(next_message) elif isinstance(parsed, AgentFinish): return def get_agent_executor(tools: list[BaseTool], system_message: str): llm = ChatOpenAI(model="gpt-4-1106-preview", temperature=0, streaming=True) prompt = ChatPromptTemplate.from_messages( [ ("system", system_message), MessagesPlaceholder(variable_name="messages"), ] ) llm_with_tools = llm.bind( functions=[format_tool_to_openai_function(t) for t in tools] ) agent = {"messages": RunnablePassthrough()} \| prompt \| llm_with_tools parser = OpenAIFunctionsAgentOutputParser() executor = RunnableGenerator(_agent_executor_generator) return executor.bind( tools={tool.name for tool in tools}, agent=agent, parser=parser ) agent = get_agent_executor([_get_tavily()], "You are a very nice agent!") async def main(): async for message in agent.astream( [HumanMessage(content="whats the weather in sf tomorrow?")] ): print(message) if __name__ == "__main__": import asyncio asyncio.run(main()) ``` results in this trace https://smith.langchain.com/public/fa17f05d-9724-4d08-8fa1-750f8fcd051b/r	8 months ago
Bagatur	8e0d5813c2	langchain[patch], experimental[patch]: replace langchain.schema imports (#15410 ) Import from core instead. Ran: ```bash git grep -l 'from langchain.schema\.output_parser' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.output_parser/from\ langchain_core.output_parsers/g" git grep -l 'from langchain.schema\.messages' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.messages/from\ langchain_core.messages/g" git grep -l 'from langchain.schema\.document' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.document/from\ langchain_core.documents/g" git grep -l 'from langchain.schema\.runnable' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.runnable/from\ langchain_core.runnables/g" git grep -l 'from langchain.schema\.vectorstore' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.vectorstore/from\ langchain_core.vectorstores/g" git grep -l 'from langchain.schema\.language_model' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.language_model/from\ langchain_core.language_models/g" git grep -l 'from langchain.schema\.embeddings' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.embeddings/from\ langchain_core.embeddings/g" git grep -l 'from langchain.schema\.storage' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.storage/from\ langchain_core.stores/g" git checkout master libs/langchain/tests/unit_tests/schema/ make format cd libs/experimental make format cd ../langchain make format ```	8 months ago
Ankush Gola	f50dba12ff	Calculate trace_id and dotted_order client side (#15351 ) <!-- 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. -->	8 months ago
Mohammad Mohtashim	b6c57d38fa	Langchain_community: Small Fix when loading facebook messages (#15358 ) - Description: SingleFileFacebookMessengerChatLoader did not handle the case for when messages had stickers and/or photos so fixed that. - Issue: #15356 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Mateusz Szewczyk	cbfaccc424	WatsonxLLM updates/enhancements (#14598 ) - Description: updates/enhancements to IBM [watsonx.ai](https://www.ibm.com/products/watsonx-ai) LLM provider (prompt tuned models and prompt templates deployments support) - Dependencies: [ibm-watsonx-ai](https://pypi.org/project/ibm-watsonx-ai/), - Tag maintainer: : @hwchase17 , @eyurtsev , @baskaryan - Twitter handle: details in comment below. Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. ✅ --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Manjunath Janardhan	7a0feba9f7	GITLAB_URL should take default https://gitlab.com instead of error (#14638 ) The fix #14221 has broken default gitlab url which is forcing the users to specify GITLAB_URL for default one. With this fix if GITLAB_URL is not set, the default gitlab url will be taken. - Description: Add the GITHUB URL instead of None - Issue: the issue #14221 has broken the default github URL - Dependencies: None - Tag maintainer: @hwchase17 - Twitter handle: manjunath_shiva	8 months ago
David	dcf047c48f	add api_base to _client_params (community version of #14393 ) (#14644 ) - Description: This PR adds `api_base` to `_client_params` in the `chat_model` of LiteLLM to ensure it's included in API calls. Previously, `api_base` was set on the client but was not included in the parameters passed to the completion function. This change ensures that `api_base` is correctly passed to all API calls. - Issue: #14338 - Tag maintainer: @hwchase17 @agola11 - Twitter handle: @LMS_David_RS	8 months ago
Lucca Zenóbio	3bd0a15506	Fix for openai multi tools input format. (#14653 ) Sometimes, the tool_schema is like: ` {'action_name': 'search_items', 'action': {'term': 'pizza'}}` sometimes, specially with gpt3.5 it comes like: `{'action_name': 'search_items', 'term': 'pizza'}` and it fails. This PR is a way to make it work in both scenarios. issues releated: #6624 Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Co-authored-by: Lucca Zenobio <lucca.zenobio@ifood.com.br>	8 months ago
xuxiang	dd1d818a82	Fixing the Issue with DashScopeEmbeddings Handling More than 25 Rows of Data (#14662 ) <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> This change addresses the issue where DashScopeEmbeddingAPI limits requests to 25 lines of data, and DashScopeEmbeddings did not handle cases with more than 25 lines, leading to errors. I have implemented a fix to manage data exceeding this limit efficiently. --------- Co-authored-by: xuxiang <xuxiang@aliyun.com>	8 months ago
Thomas B	9d8468a576	Enhancement on feature/yaml output parser (#14674 ) Adding to my previously, already merged PR I made some further improvements: * Added documentation to the existing Pydantic Parser notebook, with an example using LCEL and `with_retry()` on `OutputParserException`. * Added an additional output example to the prompt * More lenient parser in terms of LLM output format * Amended unit test FYI @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Zeeland	ff10f30149	fix: syntax error in function docs (#14641 ) fix syntax error in function docs	8 months ago
Paresh Chiramel	9be08a1956	Update _retrieve_ref inside json_schema.py to include an isdigit() check (#14745 ) - Description: Update _retrieve_ref inside json_schema.py to include an isdigit() check - Issue: This library is used inside dereference_refs inside langchain_community.agent_toolkits.openapi.spec. When I read in a yaml file which has references for "400", "401" etc; the line "out = out[component]" causes a KeyError. The isdigit() check ensures that if it is an integer like "400" or "401"; it converts it into integer before using it as a key to prevent the error. - Dependencies: No dependencies - Tag maintainer: @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Christophe Bornet	e2a8962ba6	Add AstraDB document loader (#14747 ) - Description: this adds the AstraDB document loader and an integration test - Twitter handle: cbornet_	8 months ago
Igor Dvorkin	76923e5743	Restore self message sent before OSX 12 Monterey (#14818 ) <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
savoiepe	d006be60ec	Added more filtering options to pgvector vectorstore (#14852 ) - Description: Using PGVector vector store, it was only possible to filter for values equals, in or not in metadata. Extended this feature to work with the following keywords : IN, NIN, BETWEEN, GT, LT, NE, EQ, LIKE, CONTAINS, OR, AND --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Rajesh Sharma	dfd7b9edda	Update regex in output parser (#15082 ) The regex used to match "Action" and "Action Input" in the output parser has been updated. Previously, the regex did not correctly handle multi-line inputs for "Action Input". The updated code uses the 're.DOTALL' flag to ensure multi-line inputs are correctly captured. <!-- 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: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
chyroc	32e96a471c	Refactor: use SecretStr for llm_rails embeddings (#15090 )	8 months ago
chyroc	b440f92d81	Refactor: use SecretStr for embaas embeddings (#15091 )	8 months ago
chyroc	ea6cf0f1b1	Refactor: use SecretStr for edenai embeddings (#15092 )	8 months ago
chyroc	32e6e9de13	Refactor: use SecretStr for palm chat-model (#15100 )	8 months ago
chyroc	b6952d41e5	Refactor: use SecretStr for GPTRouter chat-model (#15101 )	8 months ago
Nan LI	f506b4cfd2	community: Integration of New Chat Model Based on ChatGLM3 via ZhipuAI API (#15105 ) - Description: - This PR introduces a significant enhancement to the LangChain project by integrating a new chat model powered by the third-generation base large model, ChatGLM3, via the zhipuai API. - This advanced model supports functionalities like function calls, code interpretation, and intelligent Agent capabilities. - The additions include the chat model itself, comprehensive documentation in the form of Python notebook docs, and thorough testing with both unit and integrated tests. - Dependencies: This update relies on the ZhipuAI package as a key dependency. - Twitter handle: If this PR receives spotlight attention, we would be honored to receive a mention for our integration of the advanced ChatGLM3 model via the ZhipuAI API. Kindly tag us at @kaiwu. To ensure quality and standards, we have performed extensive linting and testing. Commands such as make format, make lint, and make test have been run from the root of the modified package to ensure compliance with LangChain's coding standards. TO DO: Continue refining and enhancing both the unit tests and integrated tests. --------- Co-authored-by: jing <jingguo92@gmail.com> Co-authored-by: hyy1987 <779003812@qq.com> Co-authored-by: jianchuanqi <qijianchuan@hotmail.com> Co-authored-by: lirq <whuclarence@gmail.com> Co-authored-by: whucalrence <81530213+whucalrence@users.noreply.github.com> Co-authored-by: Jing Guo <48378126+JaneCrystall@users.noreply.github.com>	8 months ago
Hin	2cf1e73d12	Feat add volcano embedding (#14693 ) Description: Volcano Ark is an enterprise-grade large-model service platform for developers, providing a full range of functions and services such as model training, inference, evaluation, fine-tuning. You can visit its homepage at https://www.volcengine.com/docs/82379/1099455 for details. This change could help developers use the platform for embedding. Issue: None Dependencies: volcengine Tag maintainer: @baskaryan Twitter handle: @hinnnnnnnnnnnns --------- Co-authored-by: lujingxuansc <lujingxuansc@bytedance.com>	8 months ago
David Křístek	a010f29013	fix: call correct stream method in ollama (#15104 ) Co-authored-by: David Kristek <david@David--MacBook-Pro.local>	8 months ago
Christian Janiake	be578f32be	community:Lazy load wikipedia dump file (#15111 ) Description: the MWDumpLoader implementation currently does not support the lazy_load method, and the files are usually very large. We are proposing refactoring the load function, extracting two private functions with the functionality of loading the dump file and parsing a single page, to reuse the code in the lazy_load implementation.	8 months ago
chyroc	a4ae4bc361	feat: mask api_key for konko (#14010 ) for https://github.com/langchain-ai/langchain/issues/12165	8 months ago
joel-teratis	62d32bd214	fix(minor): added missing kwargs parameter to chroma query function (#14919 ) Description: This PR adds the `kwargs` parameter to six calls in the `chroma.py` package. All functions already were able to receive `kwargs` but they were discarded before. Issue: When passing `kwargs` to functions in the `chroma.py` package they are being ignored. For example: ``` chroma_instance.similarity_search_with_score( query, k=100, include=["metadatas", "documents", "distances", "embeddings"], # this parameter gets ignored ) ``` The `include` parameter does not get passed on to the next function and does not have any effect. Dependencies: None	8 months ago
chyroc	0665a7da19	Docs: add param comment for `tracing_v2_enabled` (#15308 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
NuODaniel	7773943a51	community:qianfan endpoint support init params & remove useless params definietion (#15381 ) - Description: - support custom kwargs in object initialization. For instantance, QPS differs from multiple object(chat/completion/embedding with diverse models), for which global env is not a good choice for configuration. - Issue: no - Dependencies: no - Twitter handle: no @baskaryan PTAL	8 months ago
Nuno Campos	b9636e5c98	Catch type errors in dumps/dumpd (#15336 ) These can happen for edge cases not covered by `default` handler (eg. "strange" keys in dicts) <!-- 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. -->	8 months ago
Nuno Campos	99000c612e	Propagate context vars in all classes/methods (#15329 ) - Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars <!-- 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. -->	8 months ago
Ankush Gola	7eec8f2487	Delete V1 tracer and refactor tracer tests to core (#15326 )	8 months ago
Nuno Campos	4e4b119614	Fix executor	8 months ago
chyroc	7ce338201c	Patch: improve check openai version (#15301 )	8 months ago
Jon Nolen	27ee61645d	core: Update messages/__init__.py to account for AIMessageChunk which breaks message history runnable. (#15327 ) - Description: fix parse issue for AIMessageChunk when using - Issue: https://github.com/langchain-ai/langchain/issues/14511 - Dependencies: none - Twitter handle: none Taken from this fix: https://github.com/gpt-engineer-org/gpt-engineer/issues/804#issuecomment-1769853850 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: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Nuno Campos	9bb1fbcadf	Lint	8 months ago
Nuno Campos	f7313adf2a	old py compat	8 months ago
Nuno Campos	eb5e250188	Propagate context vars in all classes/methods - Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars	8 months ago
Shuai Liu	4b53440e70	Upgrades the Tongyi LLM and ChatTongyi Model (#14793 ) - Description: fixes and upgrades for the Tongyi LLM and ChatTongyi Model - Fixed typos; it should be `Tongyi`, not `OpenAI`. - Fixed a bug in `stream_generate_with_retry`; it's a real stream generator now. - Fixed a bug in `validate_environment`; the `dashscope_api_key` should be properly handled when set by environment variables or initialization parameters. - Changed the `dashscope` response to incremental output by setting the parameter `incremental_output`, which eliminates the need for the prefix-removal trick. - Removed some unused parameters, like `n`, `prefix_messages`. - Added `_stream` method. - Added async methods support, such as `_astream`, `_agenerate`, `_abatch`. - Dependencies: No new dependencies. - Tag maintainer: @hwchase17 > PS: Some may be confused about the terms `dashscope`, `tongyi`, and `Qwen`: > - `dashscope`: A platform to deploy LLMs and provide APIs to invoke the LLM. > - `tongyi`: A brand name or overall term about Alibaba Cloud's LLM/AI. > - `Qwen`: An LLM that is open-sourced and deployed in `dashscope`. > > We use the `dashscope` SDK to interact with the `tongyi`-`Qwen` LLM. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Romain Fouilland	6f15cc64b8	langchain: minor changes to StuffDocumentsChain._get_inputs (#15321 ) Correcting a small typo ('the' instead of 'then') and changing another 'the' (instead of 'then' too, it was a hard day for the 'n' key :D) to 'also' to match better with what is done in the code <!-- 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. -->	8 months ago
Bagatur	8bfac1a319	community[patch]: Release 0.0.7 (#15320 )	8 months ago
Harrison Chase	c3b3b77a11	[core] add test for json parser (#15297 ) this should fail, but isnt --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	8 months ago
Nuno Campos	ec090745a6	Improve markdown list parser (#15295 ) - do not match text after - in the middle of a sentence <!-- 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. -->	8 months ago
Bagatur	50e99ec601	langchain[patch]: Release 0.0.353 (#15322 )	8 months ago
Bagatur	80ceed6da5	core[patch]: Release 0.1.4 (#15319 )	8 months ago
Nuno Campos	36ceffd2cd	Strip code block fences and extra test from xml when doing streaming … (#15293 ) …parse <!-- 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. -->	8 months ago
Diego Rani Mazine	ec72225265	refactor: enable connection pool usage in PGVector (#11514 ) - Description: `PGVector` refactored to use connection pool. - Issue: #11433, - Tag maintainer: @hwchase17 @eyurtsev, --------- Co-authored-by: Diego Rani Mazine <diego.mazine@mercadolivre.com> Co-authored-by: Nuno Campos <nuno@langchain.dev>	8 months ago
chyroc	507c195a4b	Patch: improve openai functions call parser compatibility (#15197 ) ```shell Python 3.11.6 (main, Nov 2 2023, 04:39:43) [Clang 14.0.3 (clang-1403.0.22.14.1)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> s = {'name': 'gc', 'arguments': '{"prompt":"hi\nbob."}'} >>> import json >>> json.loads(s['arguments']) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/opt/homebrew/Cellar/python@3.11/3.11.6_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/json/__init__.py", line 346, in loads return _default_decoder.decode(s) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.11/3.11.6_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/opt/homebrew/Cellar/python@3.11/3.11.6_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/json/decoder.py", line 353, in raw_decode obj, end = self.scan_once(s, idx) ^^^^^^^^^^^^^^^^^^^^^^ json.decoder.JSONDecodeError: Invalid control character at: line 1 column 14 (char 13) >>> json.loads(s['arguments'].replace('\n', '\\n')) {'prompt': 'hi\nbob.'} >>> ``` --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	8 months ago
joshy-deshaw	bf5385592e	core, community: propagate context between threads (#15171 ) While using `chain.batch`, the default implementation uses a `ThreadPoolExecutor` and run the chains in separate threads. An issue with this approach is that that [the token counting callback](https://python.langchain.com/docs/modules/callbacks/token_counting) fails to work as a consequence of the context not being propagated between threads. This PR adds context propagation to the new threads and adds some thread synchronization in the OpenAI callback. With this change, the token counting callback works as intended. Having the context propagation change would be highly beneficial for those implementing custom callbacks for similar functionalities as well. --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	8 months ago
Nuno Campos	f74151b4e4	Make all json parsing less strict by default (#15287 ) - Enables strict=False by default - Uses partial json recovery logic by default <!-- 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. -->	8 months ago
Harrison Chase	bc5a0ef6ca	remove chat-history (#15286 )	8 months ago
Harrison Chase	90aa26a90e	[langchain] agents code changes (#15278 ) <!-- 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!	8 months ago
Harrison Chase	b86803153e	[core, langchain] modelio code improvements (#15277 )	8 months ago
shroominic	694bbb14cd	community: fix typo in async ollama chat (#15276 ) Made a stupid typo in the last PR which got already merged😅	8 months ago
triThirty	fea4888e72	community: Enhance Github error prompt (#15248 ) - Description: The Github error prompt is confused because of JWT enctrypt to somebody not familiar with Github connection method. This PR is to add some useful error prompt to help users troubleshooting. - Issue: https://github.com/langchain-ai/langchain/issues/14550#issuecomment-1867445049 - Dependencies: None, - Twitter handle: None	8 months ago
Christopher Queen	d5e1725ace	langchain: Fix for issue #14631 - .devcontainer doesnt build (#15251 ) - Description: Fix for issue #14631 - Issue: This fixes [Issue #14631](https://github.com/langchain-ai/langchain/issues/14631) - Twitter handle: [@consultchrisq ](https://twitter.com/consultchrisq?lang=en)	8 months ago
Bob Lin	a464eb4394	community: Make doctran synchronous (#15264 ) ### Description I found that the methods in [the doctran library](https://github.com/psychic-api/doctran) have been restructured into [synchronized versions](`14944a59f7`), And [the example ipynb](https://github.com/psychic-api/doctran/blob/main/examples.ipynb) also shows that the code is synchronized, but the README has not been updated yet. so we need to modify the code and update the documentation. ### Issue https://github.com/langchain-ai/langchain/issues/14645	8 months ago
Brendan Smith	9a16590aa9	langchain: Fix class name in RetryOutputParser docstring (#15268 ) `OutputFixingParser` -> `RetryOutputParser` ![i'm-helping](https://github.com/langchain-ai/langchain/assets/5986636/68f1b8ce-8a6e-4e75-9cf8-e3c93ac562c2)	8 months ago
Nuno Campos	22b3a233b8	Update passthrough.py (#15252 ) <!-- 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. -->	8 months ago
chyroc	6fb3cc6f27	Fix: Use `Union` instead of `\|` to improve compatibility, fix #15244 (#15245 )	8 months ago
Nuno Campos	6a5a2fb9c8	Add .pick and .assign methods to Runnable (#15229 ) <!-- 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. -->	8 months ago
Nuno Campos	0252a24471	Implement nicer runnable seq constructor, Propagate name through Runn… (#15226 ) …ableBinding <!-- 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. -->	8 months ago
Nuno Campos	f36ef0739d	Add create_conv_retrieval_chain func (#15084 ) ``` +----------+ \| MapInput \| +----------+ * +------------------------------------+ \| Lambda(itemgetter('chat_history')) \| * +------------------------------------+ * * * * * * * +---------------------------+ +--------------------------------+ \| Lambda(_get_chat_history) \| \| Lambda(itemgetter('question')) \| +---------------------------+ +--------------------------------+ * * * * * * +----------------------------+ +------------------------+ \| ContextSet('chat_history') \| \| ContextSet('question') \| +----------------------------+ +------------------------+ ** ** +-----------+ \| MapOutput \| +-----------+ * * * +----------------+ \| PromptTemplate \| +----------------+ * * * +-------------+ \| FakeListLLM \| +-------------+ * * * +-----------------+ \| StrOutputParser \| +-----------------+ * * * +----------------------------+ \| ContextSet('new_question') \| +----------------------------+ * * * +---------------------+ \| SequentialRetriever \| +---------------------+ * * * +------------------------------------+ \| Lambda(_reduce_tokens_below_limit) \| +------------------------------------+ * * * +-------------------------------+ \| ContextSet('input_documents') \| +-------------------------------+ * * * +----------+ *\| MapInput \| *** +----------+ **** ****** * ***** ***** * ****** ** * ** +-------------------------------+ +----------------------------+ +----------------------------+ \| ContextGet('input_documents') \| \| ContextGet('chat_history') \| \| ContextGet('new_question') \| +-------------------------------+ +----------------------------+ +----------------------------+ ******* * ***** ****** * **** *** * **** +-----------+ \| MapOutput \| +-----------+ * * * +-------------+ \| FakeListLLM \| +-------------+ * * * +----------+ *\| MapInput \|* ****** +----------+ ** ***** * *** ****** * **** ** * * +-------------------------------+ +----------------------------+ +-------------+ \| ContextGet('input_documents') \| \| ContextGet('new_question') \| \| Passthrough \| +-------------------------------+ +----------------------------+ ***** +-------------+ ***** * **** **** * ***** ** * **** +-----------+ \| MapOutput \| +-----------+ ``` --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Harrison Chase	4ad77f777e	[core] prompt changes (#15186 ) change it to pass all variables through all the way in invoke	8 months ago
Nuno Campos	ccf9c8e0be	Better input and output schemas for chains that start or end with a R… (#15185 ) …unnableAssign or RunnablePick <!-- 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. -->	8 months ago
Nuno Campos	8cdc633465	Implement RunnablePassthrough.pick() (#15184 ) <!-- 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. -->	8 months ago
chyroc	1abcf441ae	Refactor: use SecretStr for Predibase llms (#15119 )	8 months ago
chyroc	0a9a73a9c9	Refactor: use SecretStr for PipelineAI llms (#15120 )	8 months ago
chyroc	d63ceb65b3	Refactor: use SecretStr for StochasticAI llms (#15118 )	8 months ago
chyroc	674fde87d2	Refactor: use SecretStr for VolcEngineMaas llms (#15117 )	8 months ago
chyroc	3cc1da2b38	Refactor: use SecretStr for Petals llms (#15121 )	8 months ago
Quy Tang	7ef25a3c1b	Implement stream and astream for RunnableLambda (#14794 ) Description: Implement stream and astream methods for RunnableLambda to make streaming work for functions returning Runnable - Issue: https://github.com/langchain-ai/langchain/issues/11998 - Dependencies: No new dependencies - Twitter handle: https://twitter.com/qtangs --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	8 months ago
Nuno Campos	7e26559256	Fix runnable vistitor for funcs without pos args (#15182 )	8 months ago
Harrison Chase	b4a0d206d9	[core: minor] fix getters (#15181 )	8 months ago
Bagatur	56fad2e8ff	langchain[minor]: Add stuff docs runnable (#15178 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Harrison Chase	63916cfe35	[core] langauge model like (#15180 )	8 months ago
shroominic	e6f0cee896	community: Async Ollama + ChatOllama (#15169 ) Description: Adding async methods to booth OllamaLLM and ChatOllama to enable async streaming and async .on_llm_new_token callbacks. Issue: ChatOllama is not working in combination with an AsyncCallbackManager because the .on_llm_new_token method is not awaited.	8 months ago
Harrison Chase	33e024ad10	[core] print ascii (#15179 )	8 months ago
Phill Zarfos	35896faab7	community: correct spelling mistakes of "Suffle" and "reporoducibility" (#15172 ) - Description: Correct spelling mistakes of "Suffle" and "reporoducibility" in `DirectoryLoader` class - Issue: N/A - Dependencies: N/A - Twitter handle: N/A	8 months ago
chyroc	3a3f880e5a	Patch: improve ollama 404 api error message, fix #15147 (#15156 ) Make this issue more clearly exposed to developers	8 months ago
Nuno Campos	a2d3042823	Improve graph repr for runnable passthrough and itemgetter (#15083 ) <!-- 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. -->	8 months ago
Nuno Campos	0d0901ea18	Nc/dec22/runnable graph lambda (#15078 ) <!-- 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. -->	8 months ago
Ivan	59d4b80a92	[community]: Elasticsearch chat history encoding (#15055 ) - Added ensure_ascii property to ElasticsearchChatMessageHistory <!-- 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: Ivan Chetverikov <ivan.chetverikov@raftds.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Corey Brown	9e492620d4	Don't reassign chunk_type (#14923 ) Description: The parameter chunk_type was being hard coded to "extractive_answers", so that when "snippet" was being passed, it was being ignored. This change simply doesn't do that.	8 months ago
Takuya Igei	6da2246215	Add support Vertex AI Gemini uses a public image URL (#14949 ) ## What Since `langchain_google_genai.ChatGoogleGenerativeAI` supported A public image URL, we add to support it in `langchain.chat_models.ChatVertexAI` as well. ### Example ```py from langchain.chat_models.vertexai import ChatVertexAI from langchain_core.messages import HumanMessage llm = ChatVertexAI(model_name="gemini-pro-vision") image_message = { "type": "image_url", "image_url": { "url": "https://python.langchain.com/assets/images/cell-18-output-1-0c7fb8b94ff032d51bfe1880d8370104.png", }, } text_message = { "type": "text", "text": "What is shown in this image?", } message = HumanMessage(content=[text_message, image_message]) output = llm([message]) print(output.content) ``` ## Refs - https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm - https://python.langchain.com/docs/integrations/chat/google_generative_ai	8 months ago
Archan Ghosh	affa3e755a	Update arxiv.py with get_summaries_as_docs inside of Arxivloader (#14953 ) Added the call function get_summaries_as_docs inside of Arxivloader - Description: Added a function that returns the documents from get_summaries_as_docs, as the call signature is present in the parent file but never used from Arxivloader, this can be used from Arxivloader itself just like .load() as both the signatures are same. - Issue: Reduces time to load papers as no pdf is processed only metadata is pulled from Arxiv allowing users for faster load times on bulk loads. Users can then choose one or more paper and use ID directly with .load() to load pdf thereby loading all the contents of the paper.	8 months ago
Sypherd	d4f45b1421	core(minor): Allow explicit types for ChatMessageHistory adds (#14967 ) <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> ## Description Changes the behavior of `add_user_message` and `add_ai_message` to allow for messages of those types to be passed in. Currently, if you want to use the `add_user_message` or `add_ai_message` methods, you have to pass in a string. For `add_message` on `ChatMessageHistory`, however, you have to pass a `BaseMessage`. This behavior seems a bit inconsistent. Personally, I'd love to be able to be explicit that I want to `add_user_message` and pass in a `HumanMessage` without having to grab the `content` attribute. This PR allows `add_user_message` to accept `HumanMessage`s or `str`s and `add_ai_message` to accept `AIMessage`s or `str`s to add that functionality and ensure backwards compatibility. ## Issue * None ## Dependencies * None ## Tag maintainer @hinthornw @baskaryan ## Note `make test` results in `make: *** No rule to make target 'test'. Stop.`	8 months ago
ccurme	f2782f4c86	community: add args_schema to GmailSendMessage (#14973 ) - Description: `tools.gmail.send_message` implements a `SendMessageSchema` that is not used anywhere. `GmailSendMessage` also does not have an `args_schema` attribute (this led to issues when invoking the tool with an OpenAI functions agent, at least for me). Here we add the missing attribute and a minimal test for the tool. - Issue: N/A - Dependencies: N/A - Twitter handle: N/A --------- Co-authored-by: Chester Curme <chestercurme@microsoft.com>	8 months ago
Philip Kiely - Baseten	6342da333a	community: refactor Baseten integration with new API endpoints & docs (#15017 ) - Description: In response to user feedback, this PR refactors the Baseten integration with updated model endpoints, as well as updates relevant documentation. This PR has been tested by end users in production and works as expected. - Issue: N/A - Dependencies: This PR actually removes the dependency on the `baseten` package! - Twitter handle: https://twitter.com/basetenco	8 months ago
Blane Honeycutt	3fc1b3553b	Community: Adds ability to pass a Config to the boto3 client used by Bedrock (#15029 ) # Description This PR adds the ability to pass a `botocore.config.Config` instance to the boto3 client instantiated by the Bedrock LLM. Currently, the Bedrock LLM doesn't support a way to pass a Config, which means that some settings (e.g., timeouts and retry configuration) require instantiating a new boto3 client with a Config and then replacing the LLM's client: ```python llm = Bedrock( region_name='us-west-2', model_id="anthropic.claude-v2", model_kwargs={'max_tokens_to_sample': 4096, 'temperature': 0}, ) llm.client = boto_client('bedrock-runtime', region_name='us-west-2', config=Config({'read_timeout': 300})) ``` # Issue N/A # Dependencies N/A	8 months ago
Grzegorz Sajko	dc71fcfabf	corrected outdated link (#15053 ) <!-- 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. -->	8 months ago
chyroc	0e149bbb4c	Improve: remove extra spaces in get_from_env error (#15064 )	8 months ago
Ran	c3f8733aef	fix: correct spelling mistakes of "seperate, intialise, pre-defined" (#14647 ) fix spellings seperate -> separate: found more occurrences, see https://github.com/langchain-ai/langchain/pull/14602 initialise -> intialize: the latter is more common in the repo pre-defined > predefined: adding a comma after a prefix is a delicate matter, but this is a generally accepted word also, another word that appears in the repo is "fs" (stands for filesystem), e.g., in `libs/core/langchain_core/prompts/loading.py` ` """Unified method for loading a prompt from LangChainHub or local fs."""` Isn't "filesystem" better?	8 months ago
chyroc	86d27fd684	Fix: fix partners name typo in tests (#15066 ) <!-- 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: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Ran <rccalman@gmail.com>	8 months ago
Harrison Chase	2e159931ac	add defaults for tavily (#15075 )	8 months ago
chyroc	4440ec5ab3	Refactor: use SecretStr for minimax embeddings (#15067 )	8 months ago
chyroc	aa19ca9723	Refactor: use SecretStr for jina embeddings (#15068 ) <!-- 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. -->	8 months ago
Nuno Campos	7d5800ee51	Add Runnable.get_graph() to get a graph representation of a Runnable (#15040 ) It can be drawn in ascii with Runnable.get_graph().draw()	8 months ago
Eugene Yurtsev	aad3d8bd47	langchain(patch): Restrict paths in LocalFileStore cache (#15065 ) This PR restricts the paths that can be resolve using the local file system cache so that all paths must be contained within the root path.	8 months ago
Michael Goin	501cc8311d	community[patch]: Fix generation_config not setting properly for DeepSparse (#15036 ) - Description: Tiny but important bugfix to use a more stable interface for specifying generation_config parameters for DeepSparse LLM	8 months ago
QIAN Zifei	2460f977c5	community[minor]: Azure DocumentIntelligenceLoader/Parser support update with latest SDK (#14389 ) - Description: Add DocumentIntelligenceLoader & DocumentIntelligenceParser implementation using the latest Azure Document Intelligence SDK with markdown support. The core logic resides in DocumentIntelligenceParser and DocumentIntelligenceLoader is a mere wrapper of the parser. The parser will takes api_endpoint and api_key and creates DocumentIntelligenceClient for the user. 4 parsing modes are supported: 1. Markdown (default) 2. Single 3. Page 4. Object UT and notebook are also updated accordingly. - Dependencies: Azure Document Intelligence SDK: azure-ai-documentintelligence [azure-sdk-for-python/sdk/documentintelligence/azure-ai-documentintelligence at 7c42462ac662522a6fd21b17d2a20f4cd40d0356 · Azure/azure-sdk-for-python (github.com)](https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FAzure%2Fazure-sdk-for-python%2Ftree%2F7c42462ac662522a6fd21b17d2a20f4cd40d0356%2Fsdk%2Fdocumentintelligence%2Fazure-ai-documentintelligence&data=05%7C01%7CZifei.Qian%40microsoft.com%7C298225aa3e31468a863108dbf07374ff%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638368150928704292%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=oE0Sl4HERnMKdbkV9KgBV46Z2xytcQAShdTWf7ZNl%2Bs%3D&reserved=0). --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Ran	129a929d69	infra: Fix test filesystem paths incompatible with windows (#14388 ) - Description: This PR fixes test failures on Windows caused by path handling differences and unescaped special characters in regex. The failing tests are: ``` FAILED tests/unit_tests/storage/test_filesystem.py::test_yield_keys - AssertionError: assert ['key1', 'subdir\\key2'] == ['key1', 'subdir/key2'] FAILED tests/unit_tests/test_imports.py::test_importable_all - ModuleNotFoundError: No module named 'langchain_community.langchain_community\\adapters' FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_absolute - re.error: incomplete escape \U at position 53 FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_parent_dir - re.error: incomplete escape \U at position 69 FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_for_symlink_outside_root - re.error: incomplete escape \U at position 64 ``` - Issue: fixes https://github.com/langchain-ai/langchain/issues/11775 (partially) - Dependencies: none	8 months ago
Nuno Campos	71076cceaf	Move json and xml parsers to core (#15026 ) <!-- 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. -->	8 months ago
Nuno Campos	d5533b7081	Add option to make messages placeholder optional (#15031 ) <!-- 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. -->	8 months ago
Bagatur	40f42b8947	community[patch]: Release 0.0.6 (#15023 )	8 months ago
Bagatur	7eb1100925	core[patch]: Release 0.1.3 (#15022 )	8 months ago
Nuno Campos	63e512b680	Implement streaming for all list output parsers (#14981 ) <!-- 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. -->	8 months ago
Nuno Campos	b471166df7	Implement streaming for xml output parser (#14984 ) <!-- 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. -->	8 months ago
Jacob Lee	1b01ee0e3c	community[minor]: add hf chat wrapper (#14736 ) Builds on #14040 with community refactor merged and notebook updated. Note that with this refactor, models will be imported from `langchain_community.chat_models.huggingface` rather than the main `langchain` repo. --------- Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> Signed-off-by: Yuchen Liang <yuchenl3@andrew.cmu.edu> Co-authored-by: Andrew Reed <andrew.reed.r@gmail.com> Co-authored-by: Andrew Reed <areed1242@gmail.com> Co-authored-by: A-Roucher <aymeric.roucher@gmail.com> Co-authored-by: Aymeric Roucher <69208727+A-Roucher@users.noreply.github.com>	8 months ago
Leonid Kuligin	b99274c9d8	community[patch]: changed default for VertexAIEmbeddings (#14614 ) Replace this entire comment with: - Description: @kurtisvg has raised a point that it's a good idea to have a fixed version for embeddings (since otherwise a user might run a query with one version vs a vectorstore where another version was used). In order to avoid breaking changes, I'd suggest to give users a warning, and make a `model_name` a required argument in 1.5 months.	8 months ago
Karim Lalani	228ddabc3b	community: fix for surrealdb client 0.3.2 update + store and retrieve metadata (#14997 ) Surrealdb client changes from 0.3.1 to 0.3.2 broke the surrealdb vectore integration. This PR updates the code to work with the updated client. The change is backwards compatible with previous versions of surrealdb client. Also expanded the vector store implementation to store and retrieve metadata that's included with the document object.	8 months ago
JaguarDB	ca0a75e1fc	community[patch]: JaguarHttpClient conditional import (#14985 ) - Description: Fixed jaguar.py to import JaguarHttpClient with try and catch - Issue: the issue # Unable to use the JaguarHttpClient at run time - Dependencies: It requires "pip install -U jaguardb-http-client" - Twitter handle: workbot --------- Co-authored-by: JY <jyjy@jaguardb> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Michael Landis	1c934fff0e	community[patch]: support momento vector index filter expressions (#14978 ) Description For the Momento Vector Index (MVI) vector store implementation, pass through `filter_expression` kwarg to the MVI client, if specified. This change will enable the MVI self query implementation in a future PR. Also fixes some integration tests.	8 months ago
Yacine	300c1cbf92	community[patch]: Fix typo in class Docstring (#14982 ) - Description: Fix typo in class Docstring to replace AZURE_OPENAI_API_ENDPOINT by AZURE_OPENAI_ENDPOINT - Issue: the issue #14901 - Dependencies: NA - Twitter handle: Co-authored-by: Yacine Bouakkaz <Yacine.Bouakkaz@evokegroup.com>	8 months ago
chyroc	57d1eb733f	core[patch]: update langchain-core runtime library name (#14884 ) Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Quy Tang	42822484ef	core(minor): Implement stream and astream for RunnableBranch (#14805 ) * This PR adds `stream` implementations to Runnable Branch. * Runnable Branch still does not support `transform` so it'll break streaming if it happens in middle or end of sequence, but will work if happens at beginning of sequence. * Fixes use the async callback manager for async methods * Handle BaseException rather than Exception, so more errors could be logged as errors when they are encountered --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	8 months ago
MING KANG	ed5e0cfe57	community: add OCI Endpoint (#14250 ) - Description: - [OCI Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/home.htm) is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in the Oracle Cloud Infrastructure. This PR add integration for using LangChain with an LLM hosted on a [OCI Data Science Model Deployment](https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-about.htm). To authenticate, [oracle-ads](https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html) has been used to automatically load credentials for invoking endpoint. - Issue: None - Dependencies: `oracle-ads` - Tag maintainer: @baskaryan - Twitter handle: None --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Erick Friis	75ba22793f	community: Vectara summarization (#14970 ) Description: Adding Summarization to Vectara, to reflect it provides not only vector-store type functionality but also can return a summary. Also added: MMR capability (in the Vectara platform side) Updated templates Updated documentation and IPYNB examples Tag maintainer: @baskaryan Twitter handle: @ofermend --------- Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>	8 months ago
Liang Zhang	6479aab74f	community[patch]: Add param "task" to Databricks LLM to work around serialization of transform_output_fn (#14933 ) What is the reproduce code? ```python from langchain.chains import LLMChain, load_chain from langchain.llms import Databricks from langchain.prompts import PromptTemplate def transform_output(response): # Extract the answer from the responses. return str(response["candidates"][0]["text"]) def transform_input(request): full_prompt = f"""{request["prompt"]} Be Concise. """ request["prompt"] = full_prompt return request chat_model = Databricks( endpoint_name="llama2-13B-chat-Brambles", transform_input_fn=transform_input, transform_output_fn=transform_output, verbose=True, ) print(f"Test chat model: {chat_model('What is Apache Spark')}") # This works llm_chain = LLMChain(llm=chat_model, prompt=PromptTemplate.from_template("{chat_input}")) llm_chain("colorful socks") # this works llm_chain.save("databricks_llm_chain.yaml") # transform_input_fn and transform_output_fn are not serialized into the model yaml file loaded_chain = load_chain("databricks_llm_chain.yaml") # The Databricks LLM is recreated with transform_input_fn=None, transform_output_fn=None. loaded_chain("colorful socks") # Thus this errors. The transform_output_fn is needed to produce the correct output ``` Error: ``` File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-6c34afab-3473-421d-877f-1ef18930ef4d/lib/python3.10/site-packages/pydantic/v1/main.py", line 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for Generation text str type expected (type=type_error.str) request payload: {'query': 'What is a databricks notebook?'}'} ``` What does the error mean? When the LLM generates an answer, represented by a Generation data object. The Generation data object takes a str field called text, e.g. Generation(text=”blah”). However, the Databricks LLM tried to put a non-str to text, e.g. Generation(text={“candidates”:[{“text”: “blah”}]}) Thus, pydantic errors. Why the output format becomes incorrect after saving and loading the Databricks LLM? Databrick LLM does not support serializing transform_input_fn and transform_output_fn, so they are not serialized into the model yaml file. When the Databricks LLM is loaded, it is recreated with transform_input_fn=None, transform_output_fn=None. Without transform_output_fn, the output text is not unwrapped, thus errors. Missing transform_output_fn causes this error. Missing transform_input_fn causes the additional prompt “Be Concise.” to be lost after saving and loading. <!-- Thank you for contributing to LangChain! 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, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - 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` 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Bagatur	1ea6d83188	langchain[patch]: Release 0.0.352 (#14961 )	8 months ago
Bagatur	b03845e069	community[patch]: Release 0.0.5 (#14960 )	8 months ago
Bagatur	a841f62791	core[patch]: 0.1.2 (#14959 )	8 months ago
Anush	60c70effe9	community[minor]: Qdrant sparse vector retriever (#14814 ) ## Description This PR intends to add support for Qdrant's new [sparse vector retrieval](https://qdrant.tech/articles/sparse-vectors/) by introducing a new retriever class, `QdrantSparseVectorRetriever`. Necessary usage docs and integration tests have been added for the retriever. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
mogith-pn	c53fab63a3	community[patch]: Fixed duplicate input id issue in clarifai vectorstore (#14914 ) - Description: This PR fixes the issue faces with duplicate input id in Clarifai vectorstore class when ingesting documents into the vectorstore more than the batch size. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Sypherd	5642132c0c	community[patch]: Add safe lookup to OpenAI response adapter (#14765 ) ## Description Similar to https://github.com/langchain-ai/langchain/issues/5861, I've experienced `KeyError`s resulting from unsafe lookups in the `convert_dict_to_message` function in [this file](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/adapters/openai.py). While that issue focused on `KeyError 'content'`, I've opened another issue (#14764) about how the problem still exists in the same function but with `KeyError 'role'`. The fix for #5861 only added a safe lookup to the specific line that was giving them trouble.. This PR fixes the unsafe lookup in the rest of the function but the problem still exists across the repo. ## Issues * #14764 * #5861 ## Dependencies * None ## Checklist [x] make format [x] make lint [ ] make test - Results in `make: *** No rule to make target 'test'. Stop.` ## Maintainers * @hinthornw --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
AlpinDale	b0588774f1	community[minor]: Add Aphrodite Engine support (#14759 ) This PR adds support for PygmalionAI's [Aphrodite Engine](https://github.com/PygmalionAI/aphrodite-engine), based on vLLM's attention mechanism. At the moment, this PR does not include support for the API servers, but they will be added in a later PR. The only dependency as of now is `aphrodite-engine==0.4.2`. We pin the version to prevent breakage due to changes in the aphrodite-engine library. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Dmitry Tyumentsev	d21f44b484	community[minor]: Add YandexGPT embeddings (#14767 ) - Description: Introducing an ability to work with the [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) embeddings models. --------- Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>	8 months ago
Nicolas Suzor	529144649e	community[patch]: add png support for vertexai._parse_chat_history_gemini() (#14788 ) - Description: Modify community chat model vertexai to handle png and other image types encoded in base64 - Dependencies: added `import re` but no new dependencies. This addresses a problem where the vertexai method _parse_chat_history_gemini() was only recognizing image uris in jpeg format. I made a simple change to cover other extension types.	8 months ago
Liu Jun	b0c48dc983	community[patch]: make ak and sk optional in qianfan endpoint (#14835 ) - Description: The Qianfan SDK offers multiple authentication methods, but in the `QianfanEndpoint` of Langchain, it currently only supports authentication through AK and SK. In order to accommodate users who wish to use alternative authentication methods, this pull request makes AK and SK optional. This change should not impact existing users, while allowing users to configure other authentication methods as per the Qianfan SDK documentation. - Issue: / - Dependencies: No - Tag maintainer: No - Twitter handle:	8 months ago
Archan Ghosh	65678b3816	community[patch]: Update arxiv.py with Entry ID as a return value (#14915 ) Added Entry ID as a return value inside get_summaries_as_docs - Description: Added the Entry ID as a return, so it's easier to track the IDs of the papers that are being returned. With the addition return of the entry ID in functions like ArxivRetriever, it will be easier to reference the ID of the paper itself.	8 months ago
thehunmonkgroup	dc20766513	docs: readme for langchain-mistralai (#14917 ) - Description: Add README doc for MistralAI partner package. - Tag maintainer: @baskaryan	8 months ago
Bagatur	345acb26ac	community[patch]: Matching engine, return doc id (#14930 )	8 months ago
Erick Friis	8a3360edf6	anthropic: beta messages integration (#14928 )	8 months ago
Erick Friis	795cf2ddda	together: package and embedding model (#14936 )	8 months ago
Erick Friis	8b29b31554	cli: test_integration group (#14924 )	8 months ago
Erick Friis	4d48aedea3	cli: 0.0.20 (#14920 )	8 months ago
Erick Friis	9ef2feb674	cli[patch]: add embedding to integration template (#14881 )	8 months ago
Michael Feil	7b96de3d5d	community[patch]: update Gradient embeddings (#14846 ) - Description: Going forward, we have a own API `pip install gradientai`. Therefore gradually removing the self-build packages in llamaindex, haystack and langchain. - Issue: None. - Dependencies: `pip install gradientai` - Tag maintainer: @michaelfeil	8 months ago
Igor Dvorkin	6cc3c2452c	community[patch]: Enhance iMessage chat loader with timestamp parsing and message ownership (#14804 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Mohammad Mohtashim	e3abe12243	community[patch]: helpful error message for GitHubAPIWrapper (#14803 ) Very simple change in relation to the issue https://github.com/langchain-ai/langchain/issues/14550 @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Dmitry Tyumentsev	50381abc42	community[patch]: Add retry logic to Yandex GPT API Calls (#14907 ) Description: Added logic for re-calling the YandexGPT API in case of an error --------- Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>	8 months ago
Sirjanpreet Singh Banga	425e5e1791	community[minor]: rename ChatGPTRouter to GPTRouter (#14913 ) Description:: Rename integration to GPTRouter Tag maintainer: @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext Twitter handle: [@SamanyouGarg](https://twitter.com/SamanyouGarg)	8 months ago
JaguarDB	992b04e475	community[minor]: added jaguar vector store (#14838 ) Description: A new vector store Jaguar is being added. Class, test scripts, and documentation is added. Issue: None -- This is the first PR contributing to LangChain Dependencies: This depends on "pip install -U jaguardb-http-client" client http package Tag maintainer: @baskaryan, @eyurtsev, @hwchase1 Twitter handle: @workbot --------- Co-authored-by: JY <jyjy@jaguardb> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Bagatur	a5be9f9475	mistralai: Add langchain-mistralai partner package (#14783 ) Co-authored-by: Chad Phillips <chad@apartmentlines.com>	8 months ago
Sirjanpreet Singh Banga	44cb899a93	community[minor]: Integrating GPTRouter (#14900 ) Description: Adding a langchain integration for [GPTRouter](https://gpt-router.writesonic.com/) 🚀 , Tag maintainer: @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext Twitter handle: [@SamanyouGarg](https://twitter.com/SamanyouGarg) Integration Tests Passing: <img width="1137" alt="Screenshot 2023-12-19 at 5 45 31 PM" src="https://github.com/Writesonic/langchain/assets/151817113/4a59df9a-ee30-47aa-9df9-b8c4eeb9dc76">	8 months ago
Bagatur	1069a93d18	langchain[patch]: export sagemaker LLMContentHandler (#14906 ) Resolves #14904	8 months ago
Leonid Ganeline	b2fd41331e	docs: docstrings `langchain_community` update (#14889 ) Addded missed docstrings. Fixed inconsistency in docstrings. Note CC @efriis There were PR errors on `langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py` But, I didn't touch this file in this PR! Can it be some cache problems? I fixed this error.	8 months ago
William FH	583696732c	[Partner] NVIDIA TRT Package (#14733 ) Simplify #13976 and add as a separate package. - [] Add README - [X] Add doc notebook - [X] Add simple LLM integration --------- Co-authored-by: Jeremy Dyer <jdye64@gmail.com>	8 months ago
William FH	0d4cbbcc85	[Partner] Update google integration test (#14883 ) Gemini has decided that pickle rick is unsafe: https://github.com/langchain-ai/langchain/actions/runs/7256642294/job/19769249444#step:8:189 ![image](https://github.com/langchain-ai/langchain/assets/13333726/cfbf4312-53b6-4290-84ee-6ce0742e739e)	8 months ago
William FH	f88af1f1cd	[Partner] Google GenAi new release (#14882 ) to support the system message merging Also fix integration tests that weren't passing	8 months ago
Leonid Kuligin	2d0f1cae8c	added history and support for system_message as param (#14824 ) - Description: added support for chat_history for Google GenerativeAI (to actually use the `chat` API) plus since Gemini currently doesn't have a support for SystemMessage, added support for it only if a user provides additional `convert_system_message_to_human` flag during model initialization (in this case, SystemMessage would be prepanded to the first HumanMessage) - Issue: #14710 - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: lkuligin --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	8 months ago
Oleksandr Yaremchuk	d82a3828f2	Improve prompt injection detection (#14842 ) - Description: This is addition to [my previous PR](https://github.com/langchain-ai/langchain/pull/13930) with improvements to flexibility allowing different models and notebook to use ONNX runtime for faster speed. Since the last PR, [our model](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection) got more than 660k downloads, and with the [public benchmark](https://huggingface.co/spaces/laiyer/prompt-injection-benchmark) showed much fewer false-positives than the previous one from deepset. Additionally, on the ONNX runtime, it can be running 3x faster on the CPU, which might be handy for builders using Langchain. Issue: N/A - Dependencies: N/A - Tag maintainer: N/A - Twitter handle: `@laiyer_ai`	8 months ago
abhjaw	6fbd068b3f	Update kendra.py to avoid Kendra query ValidationException (#14866 ) Fixing issue - https://github.com/langchain-ai/langchain/issues/14494 to avoid Kendra query ValidationException <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: Update kendra.py to avoid Kendra query ValidationException, - Issue: the issue #https://github.com/langchain-ai/langchain/issues/14494, - Dependencies: None, - Tag maintainer: , - Twitter handle: If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago

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2520 Commits (7ad9eba8f4b665caa823347c7a4d7a906f71eb72)