langchain

Commit Graph

Author	SHA1	Message	Date
kYLe	124ab79c23	community[minor]: Add Anyscale embedding support (#17605 ) Description: Add embedding model support for Anyscale Endpoint Dependencies: openai --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Lance Martin	12843f292f	community[patch]: llama cpp embeddings reset default n_batch (#17594 ) When testing Nomic embeddings -- ``` from langchain_community.embeddings import LlamaCppEmbeddings embd_model_path = "/Users/rlm/Desktop/Code/llama.cpp/models/nomic-embd/nomic-embed-text-v1.Q4_K_S.gguf" embd_lc = LlamaCppEmbeddings(model_path=embd_model_path) embedding_lc = embd_lc.embed_query(query) ``` We were seeing this error for strings > a certain size -- ``` File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/llama.py:827, in Llama.embed(self, input, normalize, truncate, return_count) 824 s_sizes = [] 826 # add to batch --> 827 self._batch.add_sequence(tokens, len(s_sizes), False) 828 t_batch += n_tokens 829 s_sizes.append(n_tokens) File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/_internals.py:542, in _LlamaBatch.add_sequence(self, batch, seq_id, logits_all) 540 self.batch.token[j] = batch[i] 541 self.batch.pos[j] = i --> 542 self.batch.seq_id[j][0] = seq_id 543 self.batch.n_seq_id[j] = 1 544 self.batch.logits[j] = logits_all ValueError: NULL pointer access ``` The default `n_batch` of llama-cpp-python's Llama is `512` but we were explicitly setting it to `8`. These need to be set to equal for embedding models. * The embedding.cpp example has an assertion to make sure these are always equal. * Apparently this is not being done properly in llama-cpp-python. With `n_batch` set to 8, if more than 8 tokens are passed the batch runs out of space and it crashes. This also explains why the CPU compute buffer size was small: raw client with default `n_batch=512` ``` llama_new_context_with_model: CPU input buffer size = 3.51 MiB llama_new_context_with_model: CPU compute buffer size = 21.00 MiB ``` langchain with `n_batch=8` ``` llama_new_context_with_model: CPU input buffer size = 0.04 MiB llama_new_context_with_model: CPU compute buffer size = 0.33 MiB ``` We can work around this by passing `n_batch=512`, but this will not be obvious to some users: ``` embedding = LlamaCppEmbeddings(model_path=embd_model_path, n_batch=512) ``` From discussion w/ @cebtenzzre. Related: https://github.com/abetlen/llama-cpp-python/issues/1189 Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Zijian Han	8e976545f3	community[patch]: support OpenAI whisper base url (#17695 ) Description: The base URL for OpenAI is retrieved from the environment variable "OPENAI_BASE_URL", whereas for langchain it is obtained from "OPENAI_API_BASE". By adding `base_url = os.environ.get("OPENAI_API_BASE")`, the OpenAI proxy can execute correctly. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Paulo Nascimento	44a3484503	community[patch]: add NotebookLoader unit test (#17721 ) Thank you for contributing to LangChain! - Description: added unit tests for NotebookLoader. Linked PR: https://github.com/langchain-ai/langchain/pull/17614 - Issue: [#17614](https://github.com/langchain-ai/langchain/pull/17614) - Twitter handle: @paulodoestech - [x] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: lachiewalker <lachiewalker1@hotmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Paulo Nascimento	4c3a67122f	community[patch]: add Integration for OpenAI image gen with v1 sdk (#17771 ) Description: Created a Langchain Tool for OpenAI DALLE Image Generation. Issue: [#15901](https://github.com/langchain-ai/langchain/issues/15901) Dependencies: n/a Twitter handle: @paulodoestech - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Kaixin Yang	a8104ea8e9	openai[patch]: add checking codes for calling AI model get error (#17909 ) Description:: adding checking codes for calling AI model get error in chat_models/base.py and llms/base.py Issue: Sometimes the AI Model calling will get error, we should raise it. Otherwise, the next code 'choices.extend(response["choices"])' will throw a "TypeError: 'NoneType' object is not iterable" error to mask the true error. Because 'response["choices"]' is None. Dependencies: None --------- Co-authored-by: yangkx <yangkx@asiainfo-int.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Vincent Chen	833d61adb3	docs: update Together README.md (#18004 ) ## PR message Description: This PR adds a README file for the Together API in the `libs/partners` folder of this repository. The README includes: - A brief description of the package - Installation instructions and class introductions - Simple usage examples Issue: #17545 This PR only contains document changes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Jiaming	3d3cc71287	community[patch]: fix bugs for bilibili Loader (#18036 ) - Description: 1. Fix the BiliBiliLoader that can receive cookie parameters, it requires 3 other parameters to run. The change is backward compatible. 2. Add test; 3. Add example in docs - Issue: [#14213] Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Ethan Knights	1ef3fa0411	docs: improve readability of Langchain Expression Language get_started.ipynb (#18157 ) Description: A few grammatical changes to improve readability of the LCEL .ipynb and tidy some null characters. Issue: N/A Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Sachin Paryani	25c9f3d1d1	community[patch]: Support Streaming in Azure Machine Learning (#18246 ) - [x] PR title: "community: Support streaming in Azure ML and few naming changes" - [x] PR message: - Description: Added support for streaming for azureml_endpoint. Also, renamed and AzureMLEndpointApiType.realtime to AzureMLEndpointApiType.dedicated. Also, added new classes CustomOpenAIChatContentFormatter and CustomOpenAIContentFormatter and updated the classes LlamaChatContentFormatter and LlamaContentFormatter to now show a deprecated warning message when instantiated. --------- Co-authored-by: Sachin Paryani <saparan@microsoft.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
xiaohuanshu	ecb11a4a32	langchain[patch]: fix BaseChatMemory get output data error with extra key (#18117 ) Description: At times, BaseChatMemory._get_input_output may acquire some extra keys such as 'intermediate_steps' (agent_executor with return_intermediate_steps set to True) and 'messages' (agent_executor.iter with memory). In these instances, _get_input_output can raise an error due to the presence of multiple keys. The 'output' field should be used as the default field in these cases. Issue: #16791	2 months ago
Isaac Francisco	f5e84c8858	docs: fixing markdown for tips (#18199 ) Previous markdown code was not working as intended, new code should add green box around the tip so it is highlighted Co-authored-by: Hershenson, Isaac (Extern) <isaac.hershenson.extern@bayer04.de> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Hayden Wolff	85deee521a	docs: Nvidia Riva Runnables Documentation (#18237 ) - Description: Documents how to use the Riva runnables to add streamed automatic-speech-recognition (ASR) and text-to-speech (TTS) to chains. - Issue: None - Dependencies: None - Twitter handle: @HaydenWolff1 --------- Co-authored-by: Hayden Wolff <hwolff@Haydens-Laptop.local> Co-authored-by: Hayden Wolff <hwolff@MacBook-Pro.local> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Victor Adan	afa2d85405	community[patch]: Added missing from_documents method to KNNRetriever. (#18411 ) - Description: Added missing `from_documents` method to `KNNRetriever`, providing the ability to supply metadata to LangChain `Document`s, and to give it parity to the other retrievers, which do have `from_documents`. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Victor Adan <vadan@netroadshow.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
Smit Parmar	dfc4177b50	community[patch]: mypy ignore fix (#18483 ) Relates to #17048 Description : Applied fix to dynamodb and elasticsearch file. Error was : `Cannot override writeable attribute with read-only property` Suggestion: instead of adding ``` @messages.setter def messages(self, messages: List[BaseMessage]) -> None: raise NotImplementedError("Use add_messages instead") ``` we can change base class property `messages: List[BaseMessage]` to ``` @property def messages(self) -> List[BaseMessage]:... ``` then we don't need to add `@messages.setter` in all child classes.	2 months ago
aditya thomas	dc9e9a66db	docs: update docstring of the ChatAnthropic and AnthropicLLM classes (#18649 ) Description: Update docstring of the ChatAnthropic and AnthropicLLM classes Issue: Not applicable Dependencies: None	2 months ago
Luca Dorigo	f19229c564	core[patch]: fix beta, deprecated typing (#18877 ) Description: While not technically incorrect, the TypeVar used for the `@beta` decorator prevented pyright (and thus most vscode users) from correctly seeing the types of functions/classes decorated with `@beta`. This is in part due to a small bug in pyright (https://github.com/microsoft/pyright/issues/7448 ) - however, the `Type` bound in the typevar `C = TypeVar("C", Type, Callable)` is not doing anything - classes are `Callables` by default, so by my understanding binding to `Type` does not actually provide any more safety - the modified annotation still works correctly for both functions, properties, and classes. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
aditya thomas	263ee78886	core[runnables]: docstring for class RunnableSerializable, method configurable_fields (#19722 ) Description: Update to the docstring for class RunnableSerializable, method configurable_fields Issue: [Add in code documentation to core Runnable methods #18804](https://github.com/langchain-ai/langchain/issues/18804) Dependencies: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
HuangZiy	e1f10a697e	openai[patch]: perform judgment processing on chat model streaming delta (#18983 ) PR title: partners: openai chat model PR message: perform judgment processing on chat model streaming delta Closes #18977 Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	2 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004 ) 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	2 months ago
Bob Lin	aba4bd0d13	docs: Add async batch case (#19686 )	2 months ago
aditya thomas	ec4dcfca7f	core[runnables]: docstring of class RunnableSerializable, method configurable_alternatives (#19724 ) Description: Update to the docstring for class RunnableSerializable, method configurable_alternatives Issue: [Add in code documentation to core Runnable methods #18804](https://github.com/langchain-ai/langchain/issues/18804) Dependencies: None --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Davide Menini	824dbc49ee	langchain[patch]: add template_tool_response arg to create_json_chat (#19696 ) In this small PR I added the `template_tool_response` arg to the `create_json_chat` function, so that users can customize this prompt in case of need. Thanks for your reviews! --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com>	2 months ago
高远	688ca48019	community[patch]: Adding validation when vector does not exist (#19698 ) Adding validation when vector does not exist Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>	2 months ago
Erick Friis	f55b11fb73	infra: Revert run partner CI on core PRs (#19733 ) Reverts parts of langchain-ai/langchain#19688	2 months ago
Alessandro Rossi	665f15bd48	docs: fix typos and make quickstart more readable (#19712 ) Description: minor docs changes to make it more readable. Issue: N/A Dependencies: N/A Twitter handle: _kubealex	2 months ago
standby24x7	36090c84f2	docs: Update function "run" to "invoke" in llm_symbolic_math.ipynb (#19713 ) This patch updates multiple function "run" to "invoke" in llm_symbolic_math.ipynb. Without this patch, you see following message. The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	2 months ago
Chaunte W. Lacewell	4a49fc5a95	community[patch]: Fix bug in vdms (#19728 ) Description: Fix embedding check in vdms Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe)	2 months ago
高璟琦	75173d31db	community[minor]: Add solar model chat model (#18556 ) Add our solar chat models, available model choices: * solar-1-mini-chat * solar-1-mini-translate-enko * solar-1-mini-translate-koen More documents and pricing can be found at https://console.upstage.ai/services/solar. The references to our solar model can be found at * https://arxiv.org/abs/2402.17032 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Erick Friis	e576d6c6b4	cohere[patch]: release 0.1.0rc1 (rc1-2 never released) (#19731 )	2 months ago
harry-cohere	ea57050122	cohere: add with_structured_output to ChatCohere (#19730 ) Description: Adds support for `with_structured_output` to Cohere, which supports single function calling. --------- Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com>	2 months ago
Guangdong Liu	0571f886d1	core[patch]: Fix jsonOutputParser fails if a json value contains ``` inside it. (#19717 ) - Issue: fix #19646 - @baskaryan, @eyurtsev PTAL	2 months ago
Davide Menini	f7042321f1	community[patch]: gather token usage info in BedrockChat during generation (#19127 ) This PR allows to calculate token usage for prompts and completion directly in the generation method of BedrockChat. The token usage details are then returned together with the generations, so that other downstream tasks can access them easily. This allows to define a callback for tokens tracking and cost calculation, similarly to what happens with OpenAI (see [OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler). I plan on adding a BedrockCallbackHandler later. Right now keeping track of tokens in the callback is already possible, but it requires passing the llm, as done here: https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html. However, I find the approach of this PR cleaner. Thanks for your reviews. FYI @baskaryan, @hwchase17 --------- Co-authored-by: taamedag <Davide.Menini@swisscom.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
ligang-super	a662468dde	community[patch]: Fix the error of Baidu Qianfan not passing the stop parameter (#18666 ) - [x] PR title: "community: fix baidu qianfan missing stop parameter" - [x] PR message: - **Description: Baidu Qianfan lost the stop parameter when requesting service due to extracting it from kwargs. This bug can cause the agent to receive incorrect results --------- Co-authored-by: ligang33 <ligang33@baidu.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
BeatrixCohere	d1a2e194c3	cohere[patch]: misc fixs tool use agent and cohere chat (#19705 ) Bug fixes in this PR: * allows for other params such as "message" not just the input param to the prompt for the cohere tools agent * fixes to documents kwarg from messages * fixes to tool_calls API call --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com>	2 months ago
ccurme	b35e68c41f	docs: update use_cases/question_answering/chat_history (#19349 ) Update following https://github.com/langchain-ai/langchain/issues/19344	2 months ago
Erick Friis	8c2ed85a45	core[patch], infra: release 0.1.36, run partner CI on core PRs (#19688 )	2 months ago
Erick Friis	5327bc9ec4	elasticsearch[patch]: move to repo (#19620 )	2 months ago
Nilanjan De	239dd7c0c0	langchain[patch]: Use map() and avoid "ValueError: max() arg is an empty sequence" in MergerRetriever (#18679 ) - Issue: When passing an empty list to MergerRetriever it fails with error: ValueError: max() arg is an empty sequence - Description: We have a use case where we dynamically select retrievers and use MergerRetriever for merging the output of the retrievers. We faced this issue when the retriever_docs list is empty. Adding a default 0 for cases when retriever_docs is an empty list to avoid "ValueError: max() arg is an empty sequence". Also, changed to use map() which is more than twice as fast compared to the current implementation. ``` import timeit # Sample retriever_docs with varying lengths of sublists retriever_docs = [[i for i in range(j)] for j in range(1, 1000)] # First code snippet code1 = ''' max_docs = max(len(docs) for docs in retriever_docs) ''' # Second code snippet code2 = ''' max_docs = max(map(len, retriever_docs), default=0) ''' # Benchmarking time1 = timeit.timeit(stmt=code1, globals=globals(), number=10000) time2 = timeit.timeit(stmt=code2, globals=globals(), number=10000) # Output print(f"Execution time for code snippet 1: {time1} seconds") print(f"Execution time for code snippet 2: {time2} seconds") ``` - Dependencies: none	2 months ago
aditya thomas	4cd38fe89f	docs: update docstring of the ChatGroq class (#18645 ) Description: Update docstring of the ChatGroq class Issue: Not applicable Dependencies: None	2 months ago
Jaid	e4d7b1a482	voyageai[patch]: top level reranker import (#19645 ) The previous version didn't had Voyage rerank in the init file - [ ] PR title: langchain_voyageai reranker is not working - [ ] PR message: - Description: This fix let you run reranker from voyage - Issue: Was not able to run reranker from voyage @efriis	2 months ago
Xinwei Xiong	26eed70c11	infra: Optimize Makefile for Better Usability and Maintenance (#18859 ) Previous screenshots： ![image](https://github.com/langchain-ai/langchain/assets/86140903/e2f326e3-4d97-4b22-aacb-e789a9d815e4) Current screenshot： ![image](https://github.com/langchain-ai/langchain/assets/86140903/bd8a3ea7-1b8a-4803-9168-df45f6fa4893)	2 months ago
Juan Jose Miguel Ovalle Villamil	51baa1b5cf	langchain[patch]: fix-cohere-reranker-rerank-method with cohere v5 (#19486 ) #### Description Fixed the following error with `rerank` method from `CohereRerank`: ``` ---> [79](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:79) results = self.client.rerank( [80](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:80) query, docs, model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc [81](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:81) ) [82](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:82) result_dicts = [] [83](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:83) for res in results.results: TypeError: BaseCohere.rerank() takes 1 positional argument but 4 positional arguments (and 2 keyword-only arguments) were given ``` This was easily fixed going from this: ``` def rerank( self, documents: Sequence[Union[str, Document, dict]], query: str, , model: Optional[str] = None, top_n: Optional[int] = -1, max_chunks_per_doc: Optional[int] = None, ) -> List[Dict[str, Any]]: ... if len(documents) == 0: # to avoid empty api call return [] docs = [ doc.page_content if isinstance(doc, Document) else doc for doc in documents ] model = model or self.model top_n = top_n if (top_n is None or top_n > 0) else self.top_n results = self.client.rerank( query, docs, model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc ) result_dicts = [] for res in results: result_dicts.append( {"index": res.index, "relevance_score": res.relevance_score} ) return result_dicts ``` to this: ``` def rerank( self, documents: Sequence[Union[str, Document, dict]], query: str, , model: Optional[str] = None, top_n: Optional[int] = -1, max_chunks_per_doc: Optional[int] = None, ) -> List[Dict[str, Any]]: ... if len(documents) == 0: # to avoid empty api call return [] docs = [ doc.page_content if isinstance(doc, Document) else doc for doc in documents ] model = model or self.model top_n = top_n if (top_n is None or top_n > 0) else self.top_n results = self.client.rerank( query=query, documents=docs, model=model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc <------------- ) result_dicts = [] for res in results.results: <------------- result_dicts.append( {"index": res.index, "relevance_score": res.relevance_score} ) return result_dicts ``` #### Unit & Integration tests I added a unit test to check the behaviour of `rerank`. Also fixed the original integration test which was failing. #### Format & Linting Everything worked properly with `make lint_diff`, `make format_diff` and `make format`. However I noticed an error coming from other part of the library when doing `make lint`: ``` (langchain-py3.9) ➜ langchain git:(master) make format [ "." = "" ] \|\| poetry run ruff format . 1636 files left unchanged [ "." = "" ] \|\| poetry run ruff --select I --fix . (langchain-py3.9) ➜ langchain git:(master) make lint ./scripts/check_pydantic.sh . ./scripts/lint_imports.sh poetry run ruff . [ "." = "" ] \|\| poetry run ruff format . --diff 1636 files already formatted [ "." = "" ] \|\| poetry run ruff --select I . [ "." = "" ] \|\| mkdir -p .mypy_cache && poetry run mypy . --cache-dir .mypy_cache langchain/agents/openai_assistant/base.py:252: error: Argument "file_ids" to "create" of "Assistants" has incompatible type "Optional[Any]"; expected "Union[list[str], NotGiven]" [arg-type] langchain/agents/openai_assistant/base.py:374: error: Argument "file_ids" to "create" of "AsyncAssistants" has incompatible type "Optional[Any]"; expected "Union[list[str], NotGiven]" [arg-type] Found 2 errors in 1 file (checked 1634 source files) make: *** [Makefile:65: lint] Error 1 ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Shuqian	332996b4b2	openai[patch]: fix ChatOpenAI model's openai proxy (#19559 ) Due to changes in the OpenAI SDK, the previous method of setting the OpenAI proxy in ChatOpenAI no longer works. This PR fixes this issue, making the previous way of setting the OpenAI proxy in ChatOpenAI effective again. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Bagatur	b15c7fdde6	anthropic[patch]: fix response metadata type (#19683 )	2 months ago
kaijietti	9c4b6dc979	community[patch]: fix bug in cohere that `async for` a coroutine in ChatCohere (#19381 ) Without `await`, the `stream` returned from the `async_client` is actually a coroutine, which could not be used in `async for`.	2 months ago
Christian Galo	1adaa3c662	community[minor]: Update Azure Cognitive Services to Azure AI Services (#19488 ) This is a follow up to #18371. These are the changes: - New Azure AI Services toolkit and tools to replace those of Azure Cognitive Services. - Updated documentation for Microsoft platform. - The image analysis tool has been rewritten to use the new package `azure-ai-vision-imageanalysis`, doing a proper replacement of `azure-ai-vision`. These changes: - Update outdated naming from "Azure Cognitive Services" to "Azure AI Services". - Update documentation to use non-deprecated methods to create and use agents. - Removes need to depend on yanked python package (`azure-ai-vision`) There is one new dependency that is needed as a replacement to `azure-ai-vision`: - `azure-ai-vision-imageanalysis`. This is optional and declared within a function. There is a new `azure_ai_services.ipynb` notebook showing usage; Changes have been linted and formatted. I am leaving the actions of adding deprecation notices and future removal of Azure Cognitive Services up to the LangChain team, as I am not sure what the current practice around this is. --- If this PR makes it, my handle is @galo@mastodon.social --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Shengsheng Huang	ac1dd8ad94	community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518 ) - Description: `bigdl-llm` library has been renamed to [`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR migrates the `bigdl-llm` integration to `ipex-llm` . - Issue: N/A. The original PR of `bigdl-llm` is https://github.com/langchain-ai/langchain/pull/17953 - Dependencies: `ipex-llm` library - Contribution maintainer: @shane-huang Updated doc: docs/docs/integrations/llms/ipex_llm.ipynb Updated test: libs/community/tests/integration_tests/llms/test_ipex_llm.py	2 months ago
Chaunte W. Lacewell	a31f692f4e	community[minor]: Add VDMS vectorstore (#19551 ) - Description: Add support for Intel Lab's [Visual Data Management System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store - Dependencies: `vdms` library which requires protobuf = "4.24.2". There is a conflict with dashvector in `langchain` package but conflict is resolved in `community`. - Contribution maintainer: [@cwlacewe](https://github.com/cwlacewe) - Added tests: libs/community/tests/integration_tests/vectorstores/test_vdms.py - Added docs: docs/docs/integrations/vectorstores/vdms.ipynb - Added cookbook: cookbook/multi_modal_RAG_vdms.ipynb --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
William FH	b7b62e29fb	community[patch], mongodb[patch]: Stop spamming SIMD import warnings (#19531 ) If you use an embedding dist function in an eval loop, you get warned every time. Would prefer to just check once and forget about it. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago

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