langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	f7667c614b	docs: update tool use case (#20404 )	5 months ago
Erick Friis	86cf1d3ee1	community: release 0.0.33 (#20490 )	5 months ago
Erick Friis	90184255f8	core: release 0.1.43 (#20489 )	5 months ago
Erick Friis	7997f3b7f8	core: forward config params to default (#20402 ) nuno's fault not mine --------- Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Nuno Campos <nuno@langchain.dev>	5 months ago
Nuno Campos	97b2191e99	core: Add concept of conditional edge to graph rendering (#20480 ) - implement for mermaid, graphviz and ascii - this is to be used in langgraph	5 months ago
Ángel Igareta	60c7a17781	Remove logic to exclude intermediate nodes from rendering time (#20459 ) Description: For simplicity, migrate the logic of excluding intermediate nodes in the .get_graph() of langgraph package (https://github.com/langchain-ai/langgraph/pull/310) at graph creation time instead of graph rendering time. Note: #20381 needs to be approved first --------- Co-authored-by: Angel Igareta <angel.igareta@klarna.com> Co-authored-by: Nuno Campos <nuno@langchain.dev> Co-authored-by: Nuno Campos <nuno@boringbits.io>	5 months ago
Ángel Igareta	d55a365c6c	Fix CDN URL in mermaid graph renderer (#20381 ) Description of features on mermaid graph renderer: - Fixing CDN to use official Mermaid JS CDN: https://www.jsdelivr.com/package/npm/mermaid?tab=files - Add device_scale_factor to allow increasing quality of resulting PNG.	5 months ago
Leonid Kuligin	676c68d318	community[patch]: deprecating remaining google_community integrations (#20471 ) Deprecating remaining google community integrations	5 months ago
balloonio	b66a4f48fa	community[patch]: Invoke callback prior to yielding token fix [DeepInfra] (#20427 ) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for [DeepInfra] - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in [DeepInfra] - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Juan Carlos José Camacho	450c458f8f	community[minor]: Add Datahareld tool (#19680 ) Description: Integrate [dataherald](https://www.dataherald.com) tool, It is a natural language-to-SQL tool. Dependencies: Install dataherald sdk to use it, ``` pip install dataherald ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Christophe Bornet <cbornet@hotmail.com>	5 months ago
Alexander Smirnov	ece008f117	docs: Refine RunnablePassthrough docstring (#19812 ) Description: This update refines the documentation for `RunnablePassthrough` by removing an unnecessary import and correcting a minor syntactical error in the example provided. This change enhances the clarity and correctness of the documentation, ensuring that users have a more accurate guide to follow. Issue: N/A Dependencies: None This PR focuses solely on documentation improvements, specifically targeting the `RunnablePassthrough` class within the `langchain_core` module. By clarifying the example provided in the docstring, users are offered a more straightforward and error-free guide to utilizing the `RunnablePassthrough` class effectively. As this is a documentation update, it does not include changes that require new integrations, tests, or modifications to dependencies. It adheres to the guidelines of minimal package interference and backward compatibility, ensuring that the overall integrity and functionality of the LangChain package remain unaffected. Thank you for considering this documentation refinement for inclusion in the LangChain project.	5 months ago
Egor Krasheninnikov	c8391d4ff1	community[patch]: Fix YandexGPT embeddings (#19720 ) Fix of YandexGPT embeddings. The current version uses a single `model_name` for queries and documents, essentially making the `embed_documents` and `embed_query` methods the same. Yandex has a different endpoint (`model_uri`) for encoding documents, see [this](https://yandex.cloud/en/docs/yandexgpt/concepts/embeddings). The bug may impact retrievers built with `YandexGPTEmbeddings` (for instance FAISS database as retriever) since they use both `embed_documents` and `embed_query`. A simple snippet to test the behaviour: ```python from langchain_community.embeddings.yandex import YandexGPTEmbeddings embeddings = YandexGPTEmbeddings() q_emb = embeddings.embed_query('hello world') doc_emb = embeddings.embed_documents(['hello world', 'hello world']) q_emb == doc_emb[0] ``` The response is `True` with the current version and `False` with the changes I made. Twitter: @egor_krash --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Guangdong Liu	4be7ca7b4c	community[patch]:sparkllm standardize init args (#20194 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Yuki Oshima	0758da8940	community[patch]: Set default value for _ListSQLDatabaseToolInput tool_input (#20409 ) Description: `_ListSQLDatabaseToolInput` raise error if model returns `{}`. For example, gpt-4-turbo returns `{}` with SQL Agent initialized by `create_sql_agent`. So, I set default value `""` for `_ListSQLDatabaseToolInput` tool_input. This is actually a gpt-4-turbo issue, not a LangChain issue, but I thought it would be helpful to set a default value `""`. This problem is discussed in detail in the following Issue. Issue: https://github.com/langchain-ai/langchain/issues/20405 Dependencies: none Sorry, I did not add or change the test code, as tests for this components was not exist . However, I have tested the following code based on the [SQL Agent Document](https://python.langchain.com/docs/use_cases/sql/agents/), to make sure it works. ``` from langchain_community.agent_toolkits.sql.base import create_sql_agent from langchain_community.utilities.sql_database import SQLDatabase from langchain_openai import ChatOpenAI db = SQLDatabase.from_uri("sqlite:///Chinook.db") llm = ChatOpenAI(model="gpt-4-turbo", temperature=0) agent_executor = create_sql_agent(llm, db=db, agent_type="openai-tools", verbose=True) result = agent_executor.invoke("List the total sales per country. Which country's customers spent the most?") print(result["output"]) ```	5 months ago
saberuster	160bcaeb93	text-splitters[minor]: Add lua code splitting (#20421 ) - Description: Complete the support for Lua code in langchain.text_splitter module. - Dependencies: No - Twitter handle: @saberuster 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>	5 months ago
ccurme	4b6b0a87b6	groq[patch]: Make stream robust to ToolMessage (#20417 ) ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_groq import ChatGroq prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatGroq(model_name="mixtral-8x7b-32768", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` ``` > Entering new AgentExecutor chain... Invoking: `magic_function` with `{'input': 3}` 5The value of magic\_function(3) is 5. > Finished chain. {'input': 'what is the value of magic_function(3)?', 'output': 'The value of magic\\_function(3) is 5.'} ```	5 months ago
ccurme	38faa74c23	community[patch]: update use of deprecated llm methods (#20393 ) .predict and .predict_messages for BaseLanguageModel and BaseChatModel	5 months ago
Corey Zumar	3a068b26f3	community[patch]: Databricks - fix scope of dangerous deserialization error in Databricks LLM connector (#20368 ) fix scope of dangerous deserialization error in Databricks LLM connector --------- Signed-off-by: dbczumar <corey.zumar@databricks.com>	5 months ago
Bagatur	f1248f8d9a	core[patch]: configurable init params (#20070 ) Proposed fix for #20061. need to test --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
aditya thomas	4f75b230ed	partner[ai21]: masking of the api key for ai21 models (#20257 ) Description: Masking of the API key for AI21 models Issue: Fixes #12165 for AI21 Dependencies: None Note: This fix came in originally through #12418 but was possibly missed in the refactor to the AI21 partner package --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	e512d3c6a6	langchain: `callbacks` imports fix (#20348 ) Replaced all `from langchain.callbacks` into `from langchain_core.callbacks` . Changes in the `langchain` and `langchain_experimental` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	d83b720c40	templates: readme langsmith not private beta (#20173 )	5 months ago
balloonio	e7b1a44c5b	community[patch]: Invoke callback prior to yielding token fix for Llamafile (#20365 ) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for Llamafile - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in community llamafile.py - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
balloonio	93caa568f9	community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint (#20366 ) - [x] PR title: community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint - [x] PR message: - Description: Invoke callback prior to yielding token in stream method in community HuggingFaceEndpoint - Issue: https://github.com/langchain-ai/langchain/issues/16913 - Dependencies: None - Twitter handle: @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Nicolas	ad04585e30	community[minor]: Firecrawl.dev integration (#20364 ) Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl crawls and convert any website into LLM-ready data. It crawls all accessible subpages and give you clean markdown for each. - Description: Adds FireCrawl data loader - Dependencies: firecrawl-py - Twitter handle: @mendableai ccing contributors: (@ericciarla @nickscamara) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Tomaz Bratanic	a1b105ac00	experimental[patch]: Skip pydantic validation for llm graph transformer and fix JSON response where possible (#19915 ) LLMs might sometimes return invalid response for LLM graph transformer. Instead of failing due to pydantic validation, we skip it and manually check and optionally fix error where we can, so that more information gets extracted	5 months ago
P. Taylor Goetz	9317df7f16	community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354 ) Example Ollama API calls: Request without "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` {"error":"model is required"} ``` Request with "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "model": "openchat", "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` { "eval_duration" : 733248000, "created_at" : "2024-04-11T23:04:08.735766843Z", "model" : "openchat", "message" : { "content" : " The capital city of Pennsylvania is Harrisburg.", "role" : "assistant" }, "total_duration" : 3138731168, "prompt_eval_count" : 25, "load_duration" : 466562959, "done" : true, "prompt_eval_duration" : 1938495000, "eval_count" : 10 } ```	5 months ago
Alex Sherstinsky	fad0962643	community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370 )	5 months ago
Eugene Yurtsev	6470b30173	langchain[patch]: Add deprecation warning to extraction chains (#20224 ) Add deprecation warnings to extraction chains	5 months ago
Eugene Yurtsev	b65a1d4cfd	langchain[patch]: Add another unit test for indexing code (#20387 ) Add another unit test for indexing	5 months ago
Erick Friis	29282371db	core: bind_tools interface on basechatmodel (#20360 )	5 months ago
Erick Friis	e6806a08d4	multiple: standard chat model tests (#20359 )	5 months ago
Isak Nyberg	bac9fb9a7c	community: add gpt-4 pricing in callback (#20292 ) Added the pricing for `gpt-4-turbo` and `gpt-4-turbo-2024-04-09` in the callback method. related to issue #17173 https://openai.com/pricing#language-models	5 months ago
Leonid Ganeline	7cf2d2759d	community[patch]: docstrings update (#20301 ) Added missed docstrings. Format docstings to the consistent form.	5 months ago
Eugene Yurtsev	2900720cd3	core[patch]: Update documentation for base retriever (#20345 ) Updating in code documentation for base retriever to direct folks toward the .invoke and .ainvoke methods + explain how to implement	5 months ago
Erick Friis	ec0273fc92	chroma: release 0.1.0 (#20355 )	5 months ago
Erick Friis	da707d0755	chroma: remove relevance score int test (#20346 ) deprecating feature in #20302	5 months ago
Bagatur	6608089030	langchain[patch]: Release 0.1.16 (#20335 )	5 months ago
Eugene Yurtsev	653489a1a9	docs: Update documentation for custom LLMs (#19972 ) Update documentation for customizing LLMs	5 months ago
Bagatur	799714c629	release anthropic, fireworks, openai, groq, mistral (#20333 )	5 months ago
Bagatur	e72330aacc	core[patch]: Release 0.1.42 (#20332 )	5 months ago
ccurme	795c728f71	mistral[patch]: add IDs to tool calls (#20299 ) Mistral gives us one ID per response, no individual IDs for tool calls. ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_mistralai import ChatMistralAI prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatMistralAI(model="mistral-large-latest", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	22fd844e8a	community[patch]: Add deprecation warnings to postgres implementation (#20222 ) Add deprecation warnings to postgres implementation that are in langchain-postgres.	5 months ago
Eugene Yurtsev	f02f708f52	core[patch]: For now remove user warning (#20321 ) Remove warning since it creates a lot of noise.	5 months ago
Bagatur	c706689413	openai[patch]: use tool_calls in request (#20272 )	5 months ago
Bagatur	e936fba428	langchain[patch]: agents check prompt partial vars (#20303 )	5 months ago
Bagatur	cb25fa0d55	core[patch]: fix ChatGeneration.text with content blocks (#20294 )	5 months ago
Bagatur	03b247cca1	core[patch]: include tool_calls in ai msg chunk serialization (#20291 )	5 months ago
Erick Friis	0fa551c278	chroma: bump rc, keep optional (#20298 )	5 months ago
Erick Friis	16f8fff14f	chroma: add required fastapi dep to restrict to <1 (#20297 )	5 months ago
Erick Friis	991fd82532	chroma: add optional fastapi dep to restrict to <1 (#20295 )	5 months ago
killind-dev	f8a54d1d73	chroma: Add chroma partner package (#19292 ) Description: Adds chroma to the partners package. Tests & code mirror those in the community package. Dependencies: None Twitter handle: @akiradev0x --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Yuki Watanabe	eef19954f3	core[patch]: fix duplicated kwargs in `_load_sql_databse_chain` (#19908 ) `kwargs` is specified twice in [this line](`3218463f6a/libs/langchain/langchain/chains/loading.py (L386)`), causing runtime error when passing any keyword arguments.	5 months ago
Nuno Campos	15271ac832	core: mustache prompt templates (#19980 ) Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110 ) This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Yuki Oshima	12190ad728	openai[patch]: Fix langchain-openai unknown parameter error with gpt-4-turbo (#20271 ) Description: I fixed langchain-openai unknown parameter error with gpt-4-turbo. It seems that the behavior of the Chat Completions API implicitly changed when using the latest gpt-4-turbo model, differing from previous models. It now appears to reject parameters that are not listed in the [API Reference](https://platform.openai.com/docs/api-reference/chat/create). So I found some errors and fixed them. Issue: https://github.com/langchain-ai/langchain/issues/20264 Dependencies: none Twitter handle: https://twitter.com/oshima_123	5 months ago
ccurme	21c1ce0bc1	update agents to use tool call messages (#20074 ) ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_anthropic import ChatAnthropic from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), MessagesPlaceholder("chat_history", optional=True), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatAnthropic(model="claude-3-opus-20240229") @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` ``` > Entering new AgentExecutor chain... Invoking: `magic_function` with `{'input': 3}` responded: [{'text': '<thinking>\nThe user has asked for the value of magic_function applied to the input 3. Looking at the available tools, magic_function is the relevant one to use here, as it takes an integer input and returns an integer output.\n\nThe magic_function has one required parameter:\n- input (integer)\n\nThe user has directly provided the value 3 for the input parameter. Since the required parameter is present, we can proceed with calling the function.\n</thinking>', 'type': 'text'}, {'id': 'toolu_01HsTheJPA5mcipuFDBbJ1CW', 'input': {'input': 3}, 'name': 'magic_function', 'type': 'tool_use'}] 5 Therefore, the value of magic_function(3) is 5. > Finished chain. {'input': 'what is the value of magic_function(3)?', 'output': 'Therefore, the value of magic_function(3) is 5.'} ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Erick Friis	9eb6f538f0	infra, multiple: rc release versions (#20252 )	6 months ago
Bagatur	0d0458d1a7	mistralai[patch]: Pre-release 0.1.2-rc.1 (#20251 )	6 months ago
Bagatur	e4046939d0	anthropic[patch]: Pre-release 0.1.8-rc.1 (#20250 )	6 months ago
Bagatur	a8eb0f5b1b	openai[patch]: pre-release 0.1.3-rc.1 (#20249 )	6 months ago
Bagatur	a43b9e4f33	core[patch]: Pre-release 0.1.42-rc.1 (#20248 )	6 months ago
Bagatur	9514bc4d67	core[minor], ...: add tool calls message (#18947 ) core[minor], langchain[patch], openai[minor], anthropic[minor], fireworks[minor], groq[minor], mistralai[minor] ```python class ToolCall(TypedDict): name: str args: Dict[str, Any] id: Optional[str] class InvalidToolCall(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] error: Optional[str] class ToolCallChunk(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] index: Optional[int] class AIMessage(BaseMessage): ... tool_calls: List[ToolCall] = [] invalid_tool_calls: List[InvalidToolCall] = [] ... class AIMessageChunk(AIMessage, BaseMessageChunk): ... tool_call_chunks: Optional[List[ToolCallChunk]] = None ... ``` Important considerations: - Parsing logic occurs within different providers; - ~Changing output type is a breaking change for anyone doing explicit type checking;~ - ~Langsmith rendering will need to be updated: https://github.com/langchain-ai/langchainplus/pull/3561~ - ~Langserve will need to be updated~ - Adding chunks: - ~AIMessage + ToolCallsMessage = ToolCallsMessage if either has non-null .tool_calls.~ - Tool call chunks are appended, merging when having equal values of `index`. - additional_kwargs accumulate the normal way. - During streaming: - ~Messages can change types (e.g., from AIMessageChunk to AIToolCallsMessageChunk)~ - Output parsers parse additional_kwargs (during .invoke they read off tool calls). Packages outside of `partners/`: - https://github.com/langchain-ai/langchain-cohere/pull/7 - https://github.com/langchain-ai/langchain-google/pull/123/files --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Erick Friis	00552918ac	groq: xfail tool_choice tests (#20247 )	6 months ago
Bagatur	2d83505be9	experimental[patch]: Release 0.0.57 (#20243 )	6 months ago
Bagatur	f06cb59ab9	groq[patch]: Release 0.1.1 (#20242 )	6 months ago
Bagatur	0b2f0307d7	openai[patch]: Release 0.1.2 (#20241 )	6 months ago
Bagatur	4b84c9b28c	anthropic[patch]: Release 0.1.7 (#20240 )	6 months ago
Bagatur	74d04a4e80	mistralai[patch]: Release 0.1.1 (#20239 )	6 months ago
Bagatur	e5913c8758	langchain[patch]: Release 0.1.15 (#20237 )	6 months ago
Bagatur	e39fdfddf1	community[patch]: Release 0.0.32 (#20236 )	6 months ago
Bagatur	a07238d14e	core[patch]: Release 0.1.41 (#20233 )	6 months ago
Chip Davis	806d4ae48f	community[patch]: fixed multithreading returning List[List[Documents]] instead of List[Documents] (#20230 ) Description: When multithreading is set to True and using the DirectoryLoader, there was a bug that caused the return type to be a double nested list. This resulted in other places upstream not being able to utilize the from_documents method as it was no longer a `List[Documents]` it was a `List[List[Documents]]`. The change made was to just loop through the `future.result()` and yield every item. Issue: #20093 Dependencies: N/A Twitter handle: N/A	6 months ago
Eugene Yurtsev	fe35e13083	langchain[patch]: Update unit test (#20228 ) This unit test fails likely validation by the openai client. Newer openai library seems to be doing more validation so the existing test fails since http_client needs to be of httpx instance	6 months ago
Casper da Costa-Luis	b972f394c8	langchain[patch]: make BooleanOutputParser check words not substrings (#20064 ) - Description: fixes BooleanOutputParser detecting sub-words ("NOW this is likely (YES)" -> `True`, not `AmbiguousError`) - Issue(s): fixes #11408 (follow-up to #17810) - Dependencies: None - GitHub handle: @casperdcl <!-- if unreviewd after a few days, @-mention one of baskaryan, efriis, eyurtsev, hwchase17 --> - [x] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
seray	add31f46d0	community[patch]: OpenLLM Async Client Fixes and Timeout Parameter (#20007 ) Same changes as this merged [PR](https://github.com/langchain-ai/langchain/pull/17478) (https://github.com/langchain-ai/langchain/pull/17478), but for the async client, as the same issues persist. - Replaced 'responses' attribute of OpenLLM's GenerationOutput schema to 'outputs'. reference: `66de54eae7/openllm-core/src/openllm_core/_schemas.py (L135)` - Added timeout parameter for the async client. --------- Co-authored-by: Seray Arslan <seray.arslan@knime.com>	6 months ago
Erick Friis	37a9e23c05	community: switch to falkordb python client (#20229 )	6 months ago
Christophe Bornet	f43b48aebc	core[minor]: Implement aformat_messages for _StringImageMessagePromptTemplate (#20036 )	6 months ago
Christophe Bornet	19001e6cb9	core[minor]: Implement aformat for FewShotPromptWithTemplates (#20039 )	6 months ago
Erick Friis	855ba46f80	standard-tests: a standard unit and integration test set (#20182 ) just chat models for now	6 months ago
Erick Friis	9b5cae045c	together: release 0.1.0 (#20225 ) Resolved #20217	6 months ago
Eugene Yurtsev	7cfb643a1c	langchain-postgres: Remove remaining README.md file (#20221 ) Repository has moved to langchain-ai/langchain-postgres	6 months ago
Eugene Yurtsev	2fa7266ebb	Remove postgres package (#20207 ) Package moved	6 months ago
Simon Kelly	a682f0d12b	openai[patch]: wrap stream code in context manager blocks (#18013 ) Description: Use the `Stream` context managers in `ChatOpenAi` `stream` and `astream` method. Using the context manager returned by the OpenAI client makes it possible to terminate the stream early since the response connection will be closed when the context manager exists. Issue: #5340 Twitter handle: @snopoke --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
David Lee	0394c6e126	community[minor]: add allow_dangerous_requests for OpenAPI toolkits (#19493 ) OpenAPI allow_dangerous_requests: community: add allow_dangerous_requests for OpenAPI toolkits Description: a description of the change Due to BaseRequestsTool changes, we need to pass allow_dangerous_requests manually. `b617085af0/libs/community/langchain_community/tools/requests/tool.py (L26-L46)` While OpenAPI toolkits didn't pass it in the arguments. `b617085af0/libs/community/langchain_community/agent_toolkits/openapi/planner.py (L262-L269)` Issue: the issue # it fixes, if applicable https://github.com/langchain-ai/langchain/issues/19440 If not passing allow_dangerous_requests, it won't be able to do requests. Dependencies: any dependencies required for this change Not much --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Timothy	0c848a25ad	community[patch]: GCSDirectoryLoader bugfix (#20005 ) - Description: Bug fix. Removed extra line in `GCSDirectoryLoader` to allow catching Exceptions. Now also logs the file path if Exception is raised for easier debugging. - Issue: #20198 Bug since langchain-community==0.0.31 - Dependencies: No change - Twitter handle: timothywong731 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
jeff kit	ac42e96e4c	community[patch], langchain[minor]: Enhance Tencent Cloud VectorDB, langchain: make Tencent Cloud VectorDB self query retrieve compatible (#19651 ) - make Tencent Cloud VectorDB support metadata filtering. - implement delete function for Tencent Cloud VectorDB. - support both Langchain Embedding model and Tencent Cloud VDB embedding model. - Tencent Cloud VectorDB support filter search keyword, compatible with langchain filtering syntax. - add Tencent Cloud VectorDB TranslationVisitor, now work with self query retriever. - more documentations. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Bagatur	1a34c65e01	community[patch]: pass through sql agent kwargs (#19962 ) Fix #19961	6 months ago
Guangdong Liu	97d91ec17c	community[patch]: standardize baichuan init args (#20209 ) Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	6 months ago
Piyush Jain	cd7abc495a	community[minor]: add neptune analytics graph (#20047 ) Replacement for PR [#19772](https://github.com/langchain-ai/langchain/pull/19772). --------- Co-authored-by: Dave Bechberger <dbechbe@amazon.com> Co-authored-by: bechbd <bechbd@users.noreply.github.com>	6 months ago
Shuqian	ad9750403b	community[minor]: add bedrock anthropic callback for token usage counting (#19864 ) Description: add bedrock anthropic callback for token usage counting, consulted openai callback. --------- Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>	6 months ago
Prince Canuma	1f9f4d8742	community[minor]: Add support for MLX models (chat & llm) (#18152 ) Description: This PR adds support for MLX models both chat (i.e., instruct) and llm (i.e., pretrained) types/ Dependencies: mlx, mlx_lm, transformers Twitter handle: @Prince_Canuma --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Leonid Ganeline	2f8dd1a161	community[patch]: `cross_encoders` flatten namespaces (#20183 ) Issue `langchain_community.cross_encoders` didn't have flattening namespace code in the __init__.py file. Changes: - added code to flattening namespaces (used #20050 as a template) - added ut for a change - added missed `test_imports` for `chat_loaders` and `chat_message_histories` modules	6 months ago
kaijietti	a812839f0c	community: add request_timeout and max_retries to ChatAnthropic (#19402 ) This PR make `request_timeout` and `max_retries` configurable for ChatAnthropic. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	391e8f2050	pinecone[patch]: fix core min version (#20177 )	6 months ago
Harry Jiang	1ee208541c	langchain: fix pinecone upsert when async_req is set to False (#19793 ) Issue: When async_req is the default value True, pinecone client return the multiprocessing AsyncResult object. When async_req is set to False, pinecone client return the result directly. `[{'upserted_count': 1}]` . Calling get() method will throw an error in this case.	6 months ago
Alex Sherstinsky	5f563e040a	community: extend Predibase integration to support fine-tuned LLM adapters (#19979 ) - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: *Delete this entire checklist* and replace with - Description: Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - Twitter handle: `@alexsherstinsky` - [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: Erick Friis <erick@langchain.dev>	6 months ago
Bagatur	a27d88f12a	anthropic[patch]: standardize init args (#20161 ) Related to #20085	6 months ago
Bagatur	3490d70238	mistralai[patch]: standardize model params (#20163 ) Related to #20085	6 months ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160 ) Part of #20085	6 months ago
david02871	e1a24d09c5	community: Add PHP language parser to document_loaders (#19850 ) Description: Added a PHP language parser to document_loaders Issue: N/A Dependencies: N/A Twitter handle: N/A --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Marlene	2f03bc397e	Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925 ) Last year Microsoft [changed the name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) of Azure Cognitive Search to Azure AI Search. This PR updates the Langchain Azure Retriever API and it's associated docs to reflect this change. It may be confusing for users to see the name Cognitive here and AI in the Microsoft documentation which is why this is needed. I've also added a more detailed example to the Azure retriever doc page. There are more places that need a similar update but I'm breaking it up so the PRs are not too big 😄 Fixing my errors from the previous PR. Twitter: @marlene_zw Two new tests added to test backward compatibility in `libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Rahul Triptahi	820b713086	community[minor]: Add support for Pebblo cloud_api_key in PebbloSafeLoader (#19855 ) Description: _PebbloSafeLoader_: Add support for pebblo's cloud api-key in PebbloSafeLoader - This Pull request enables PebbloSafeLoader to accept pebblo's cloud api-key and send the semantic classification data to pebblo cloud. Documentation: Updated Unit test: Added Issue: NA Dependencies: - None Twitter handle: @rahul_tripathi2 Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	6 months ago
Eugene Yurtsev	34a24d4df6	postgres[minor]: Add pgvector community as is (#20096 ) This moves langchain pgvector community as is The only modification is support for psycopg3 rather than psycopg2!	6 months ago
Eugene Yurtsev	ba9e0d76c1	postgres[minor]: add postgres checkpoint implementation (#20025 ) Adds checkpoint implementation using psycopg	6 months ago
William FH	039b7a472d	[core] fix: manually specifying run_id for chat models.invoke() and .ainvoke() (#20082 )	6 months ago
Erick Friis	96dc0ea49d	pinecone[patch]: release 0.1.0 (#20109 )	6 months ago
Maxime Perrin	5ac0d1f67b	partners[anthropic]: fix anthropic chat model message type lookup keys (#19034 ) - Description: Fixing message formatting issue in ChatAnthropic model by adding dictionary keys for `AIMessageChunk `and `HumanMessageChunk` - Issue: #19025 - Twitter handle: @maximeperrin_ Co-authored-by: Maxime Perrin <mperrin@doing.fr> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Bagatur	46f580d42d	docs: anthropic tool docstring (#20091 )	6 months ago
Erick Friis	28dfde2cb2	cohere: move package to external repo (#20081 )	6 months ago
Eugene Yurtsev	520ff50adc	community[patch]: Improve import callbacks to make it IDE friendly (#20050 ) * declares __all__ as a list of strings (instead of dynamically computing it) * import type definitions when TYPE_CHECKING is true	6 months ago
Guangdong Liu	5a76087965	langchain-core[minor]: Allow passing local cache to language models (#19331 ) After this PR it will be possible to pass a cache instance directly to a language model. This is useful to allow different language models to use different caches if needed. - Issue: close #19276 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Eugene Yurtsev	e4fc0e7502	core[patch]: Document BaseCache abstraction in code (#20046 ) Document the base cache abstraction in the cache.	6 months ago
Christophe Bornet	4d8a6a27a3	core[minor]: Implement aformat_prompt and ainvoke in BasePromptTemplate (#20035 )	6 months ago
Christophe Bornet	7e5c1905b1	core[minor]: Add async aformat_document method (#20037 )	6 months ago
Christophe Bornet	927793d088	Merge pull request #20038 * Implement aformat_messages for ChatMessagePromptTemplate	6 months ago
Bagatur	1b7ed6071a	anthropic[patch]: Release 0.1.6 (#20026 )	6 months ago
Bagatur	6860450e48	anthropic[patch]: use anthropic 0.23 (#20022 )	6 months ago
Bagatur	be3dd62de4	anthropic[patch]: fix experimental tests (#20021 )	6 months ago
Bagatur	86fdb79454	anthropic[patch]: bump core dep (#20019 ) ]	6 months ago
Bagatur	209de0a561	anthropic[minor]: tool use (#20016 )	6 months ago
Leonid Ganeline	3aacd11846	community[minor]: added missed class to __all__ (#19888 ) Added missed `UnstructuredCHMLoader` class to the document_loader.\_\_init\_\_.py \_\_all\_\_	6 months ago
Chris Papademetrious	a954dedb77	langchain[minor]: enhance `LocalFileStore` to allow directory/file permissions to be specified (#18857 ) Description: The `LocalFileStore` class can be used to create an on-disk `CacheBackedEmbeddings` cache. However, the default `umask` settings gives file/directory write permissions only to the original user. Once the cache directory is created by the first user, other users cannot write their own cache entries into the directory. To make the cache usable by multiple users, this pull request updates the `LocalFileStore` constructor to allow the permissions for newly created directories and files to be specified. The specified permissions override the default `umask` values. For example, when configured as follows: ```python file_store = LocalFileStore(temp_dir, chmod_dir=0o770, chmod_file=0o660) ``` then "user" and "group" (but not "other") have permissions to access the store, which means: * Anyone in our group could contribute embeddings to the cache. * If we implement cache cleanup/eviction in the future, anyone in our group could perform the cleanup. The default values for the `chmod_dir` and `chmod_file` parameters is `None`, which retains the original behavior of using the default `umask` settings. Issue: Implements enhancement #18075. Testing: I updated the `LocalFileStore` unit tests to test the permissions. --------- Signed-off-by: chrispy <chrispy@synopsys.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Tomaz Bratanic	df25829f33	community[minor]: Add metadata filtering support for neo4j vector (#20001 )	6 months ago
Ben Mitchell	b52b78478f	community[minor]: Implement Async OpenSearch `afrom_texts` & `afrom_embeddings` (#20009 ) - Description: Adds async variants of afrom_texts and afrom_embeddings into `OpenSearchVectorSearch`, which allows for `afrom_documents` to be called. - Issue: I implemented this because my use case involves an async scraper generating documents as and when they're ready to be ingested by Embedding/OpenSearch - Dependencies: None that I'm aware Co-authored-by: Ben Mitchell <b.mitchell@reply.com>	6 months ago
Jan Nissen	31e3ecc728	core[minor]: support pydantic V2 for JSONOutputParser, allow for other sources of JSON schemas (#19716 ) This PR supports using Pydantic v2 objects to generate the schema for the JSONOutputParser (#19441). This also adds a `json_schema` parameter to allow users to pass any JSON schema to validate with, not just pydantic.	6 months ago
Christophe Bornet	f97de4e275	core[minor]: Add aformat to FewShotPromptTemplate (#19652 )	6 months ago
Utkarsha Gupte	b27f81c51c	core[patch]: mypy ignore fixes #17048 (#19931 ) core/langchain_core/_api[Patch]: mypy ignore fixes #17048 Related to #17048 Applied mypy fixes to below two files: libs/core/langchain_core/_api/deprecation.py libs/core/langchain_core/_api/beta_decorator.py Summary of Fixes: Issue 1 class _deprecated_property(type(obj)): # type: ignore error: Unsupported dynamic base class "type" [misc] Fix: 1. Added an __init__ method to _deprecated_property to initialize the fget, fset, fdel, and __doc__ attributes. 2. In the __get__, __set__, and __delete__ methods, we now use the self.fget, self.fset, and self.fdel attributes to call the original methods after emitting the warning.  3. The finalize function now creates an instance of _deprecated_property with the fget, fset, fdel, and doc attributes from the original obj property.   Issue 2     def finalize( # type: ignore wrapper: Callable[..., Any], new_doc: str ) -> T:   error: All conditional function variants must have identical signatures    Fix: Ensured that both definitions of the finalize function have the same signature Twitter Handle - https://x.com/gupteutkarsha?s=11&t=uwHe4C3PPpGRvoO5Qpm1aA	6 months ago
harry-cohere	e103492eb8	cohere: Add citations to agent, flexibility to tool parsing, fix SDK issue (#19965 ) Description: Citations are the main addition in this PR. We now emit them from the multihop agent! Additionally the agent is now more flexible with observations (`Any` is now accepted), and the Cohere SDK version is bumped to fix an issue with the most recent version of pydantic v1 (1.10.15)	6 months ago
Jacob Lee	605c3f23e1	docs: reorg and visual refresh (#19765 ) - put use cases in main sidebar - move modules to own sidebar, rename components - cleanup lcel section - cleanup guides - update font, cell highlighting --------- Co-authored-by: Chester Curme <chester.curme@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Erick Friis	51bdfe04e9	groq: handle streaming tool call case (#19978 )	6 months ago
Erick Friis	5acb564d6f	groq: fix core version (#19976 )	6 months ago
Erick Friis	9e60159043	groq: release 0.1.0 (#19975 )	6 months ago
Graden Rea	88cf8a2905	groq: Add tool calling support (#19971 ) Description: Add with_structured_output to groq chat models Issue: Dependencies: N/A Twitter handle: N/A	6 months ago
Eugene Yurtsev	6f20f140ca	cli[minor]: Add disable sockets in unit tests (#19877 )	6 months ago
Erick Friis	83f62fdacf	core: fix try_load_from_hub for older langchain versions load_chain (#19964 )	6 months ago
Tomaz Bratanic	09a0ecd000	langchain[minor]: Tests update metadata filtering examples of documents (#19963 ) Removing metadata properties that are dicts as some databases don't support that, and those properties aren't used in tests anyhow..	6 months ago
happy-go-lucky	c6432abdbe	community[patch]: Implement delete method and all async methods in opensearch_vector_search (#17321 ) - Description: In order to use index and aindex in libs/langchain/langchain/indexes/_api.py, I implemented delete method and all async methods in opensearch_vector_search - Dependencies: No changes	6 months ago
Cheng, Penghui	cc407e8a1b	community[minor]: weight only quantization with intel-extension-for-transformers. (#14504 ) Support weight only quantization with intel-extension-for-transformers. [Intel® Extension for Transformers](https://github.com/intel/intel-extension-for-transformers) is an innovative toolkit to accelerate Transformer-based models on Intel platforms, in particular effective on 4th Intel Xeon Scalable processor [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html) (codenamed Sapphire Rapids). The toolkit provides the below key features: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime. * Optimized Transformer-based model packages. * [NeuralChat](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of plugins and SOTA optimizations. * [Inference](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/llm/runtime/graph) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels. This PR is an integration of weight only quantization feature with intel-extension-for-transformers. Unit test is in lib/langchain/tests/integration_tests/llm/test_weight_only_quantization.py The notebook is in docs/docs/integrations/llms/weight_only_quantization.ipynb. The document is in docs/docs/integrations/providers/weight_only_quantization.mdx. --------- Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Eugene Yurtsev	d6d843ec24	langchain-postgres: Initial package with postgres chat history implementation (#19884 ) - [x] Add in code examples for the chat message history class - [ ] ~Add docs with notebook examples~ (can this be done later?) - [x] Update README.md	6 months ago
Eugene Yurtsev	d293431e10	core[minor]: Add aload to document loader (#19936 ) Add aload to document loader	6 months ago
Ángel Igareta	31a641a155	core: fix return of draw_mermaid_png and change to not save image by default (#19950 ) - Description: Improvement for #19599: fixing missing return of graph.draw_mermaid_png and improve it to make the saving of the rendered image optional Co-authored-by: Angel Igareta <angel.igareta@klarna.com>	6 months ago
Bagatur	4328c54aab	core[patch]: Release 0.1.39 (#19940 )	6 months ago
Nuno Campos	f4568fe0c6	core: BaseChatModel modify chat message before passing to run_manager (#19939 ) Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	6 months ago
Leonid Kuligin	eb0521064e	deprecating integrations moved to langchain_google_community (#19841 ) Thank you for contributing to LangChain! - [ ] PR title: "community: deprecating integrations moved to langchain_google_community" - [ ] PR message: deprecating integrations moved to langchain_google_community --------- Co-authored-by: ccurme <chester.curme@gmail.com>	6 months ago
Erick Friis	f0d5b59962	core[patch]: remove requests (#19891 ) Removes required usage of `requests` from `langchain-core`, all of which has been deprecated. - removes Tracer V1 implementations - removes old `try_load_from_hub` github-based hub implementations Removal done in a way where imports will still succeed, and usage will fail with a `RuntimeError`.	6 months ago
Erick Friis	d5a2ff58e9	pinecone[patch]: source tag (#19739 )	6 months ago
harry-cohere	beab9adffb	cohere: Improve integration test stability, fix documents bug (#19929 ) Description: Improves the stability of all Cohere partner package integration tests. Fixes a bug with document parsing (both dicts and Documents are handled).	6 months ago
harry-cohere	37fc1c525a	cohere: simplify integration test (#19928 ) Description: This PR simplifies an integration test within the Cohere partner package: * It no longer relies on exact model answers * It no longer relies on a third party tool	6 months ago
billytrend-cohere	de6c0cf248	cohere, docs: update imports and installs to langchain_cohere (#19918 ) cohere: update imports and installs to langchain_cohere --------- Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	146d1a6347	cohere[patch]: release 0.1.0rc2 (#19924 )	6 months ago
harry-cohere	e2b83c87b1	cohere[patch]: Add multihop tool agent (#19919 ) Description: Adds an agent that uses Cohere with multiple hops and multiple tools. This PR is a continuation of https://github.com/langchain-ai/langchain/pull/19650 - which was previously approved. Conceptually nothing has changed, but this PR has extra fixes, documentation and testing. --------- Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com> Co-authored-by: Erick Friis <erickfriis@gmail.com>	6 months ago
Max Jakob	22dbcc9441	langchain[patch]: fix ElasticsearchStore reference for self query (#19907 ) Initializing self query with an ElasticsearchStore from the partners packages failed previously, see https://github.com/langchain-ai/langchain/discussions/18976.	6 months ago
Bagatur	3218463f6a	core[patch]: Release 0.1.38 (#19895 )	6 months ago
Mohammad Mohtashim	9ae2df36fc	Core[major]: Base Tracer to propagate raw output from tool for on_tool_end (#18932 ) This PR completes work for PR #18798 to expose raw tool output in on_tool_end. Affected APIs: * astream_log * astream_events * callbacks sent to langsmith via langsmith-sdk * Any other code that relies on BaseTracer! --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Nuno Campos	2ae6dcdf01	core: Assign missing message ids in BaseChatModel (#19863 ) - This ensures ids are stable across streamed chunks - Multiple messages in batch call get separate ids - Also fix ids being dropped when combining message chunks Thank you for contributing to LangChain! - [ ] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: *Delete this entire checklist* and replace with - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	6 months ago
Peter Vandenabeele	e830a4e731	community[patch]: Add remove_comments option (default True): do not extract html comments (#13259 ) - Description: add `remove_comments` option (default: True): do not extract html _comments_, - Issue: None, - Dependencies: None, - Tag maintainer: @nfcampos , - Twitter handle: peter_v I ran `make format`, `make lint` and `make test`. Discussion: I my use case, I prefer to not have the comments in the extracted text: * e.g. from a Google tag that is added in the html as comment * e.g. content that the authors have temporarily hidden to make it non visible to the regular reader Removing the comments makes the extracted text more alike the intended text to be seen by the reader. Choice to make: do we prefer to make the default for this `remove_comments` option to be True or False? I have changed it to True in a second commit, since that is how I would prefer to use it by default. Have the cleaned text (without technical Google tags etc.) and also closer to the actually visible and intended content. I am not sure what is best aligned with the conventions of langchain in general ... INITIAL VERSION (new version above): ~Choice to make: do we prefer to make the default for this `ignore_comments` option to be True or False? I have set it to False now to be backwards compatible. On the other hand, I would use it mostly with True. I am not sure what is best aligned with the conventions of langchain in general ...~ --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Jamsheed Mistri	4f70bc119d	community[minor]: add Layerup Security integration (#19787 ) Description: adds integration with [Layerup Security](https://uselayerup.com). Docs can be found [here](https://docs.uselayerup.com). Integrates directly with our Python SDK. Dependencies: [LayerupSecurity](https://pypi.org/project/LayerupSecurity/) Note: all methods for our product require a paid API key, so I only included 1 test which checks for an invalid API key response. I have tested extensively locally. Twitter handle: [@layerup_](https://twitter.com/layerup_) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Massimiliano Pronesti	06dac394a6	cohere[patch]: support request timeout in BaseCohere (#19641 ) As in #19346, this PR exposes `request_timeout` in `BaseCohere`, while `max_retires` is no longer a parameter of the beneath client (`cohere.Client`) and it is already configured in `langchain_cohere.llms.Cohere`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Mayank Solanki	d5c412b0a9	core: Add docs for RunnableConfigurableFields (#19849 ) - [x] docs: core: Add docs for `RunnableConfigurableFields` - Description: Added incode docs for `RunnableConfigurableFields` with example - Issue: #18803 - Dependencies: NA - Twitter handle: NA --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	6 months ago
Mahdi Setayesh	c28efb878c	text-splitters[minor]: Adding a new section aware splitter to langchain (#16526 ) - Description: the layout of html pages can be variant based on the bootstrap framework or the styles of the pages. So we need to have a splitter to transform the html tags to a proper layout and then split the html content based on the provided list of tags to determine its html sections. We are using BS4 library along with xslt structure to split the html content using an section aware approach. - Dependencies: No new dependencies - Twitter handle: @m_setayesh 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: Bagatur <baskaryan@gmail.com>	6 months ago
Eugene Yurtsev	356a139b0a	cli[minor]: Add __version__ to integration package template (#19876 ) Packages should export __version__	6 months ago
Anıl Berk Altuner	4384fa8e49	community[minor]: Add Dria retriever (#17098 ) [Dria](https://dria.co/) is a hub of public RAG models for developers to both contribute and utilize a shared embedding lake. This PR adds a retriever that can retrieve documents from Dria.	6 months ago
Erick Friis	0b0a55192f	robocorp[patch]: fix core min version (#19879 )	6 months ago
Mikko Korpela	3f06cef60c	robocorp[patch]: Fix nested arguments descriptors and tool names (#19707 ) Thank you for contributing to LangChain! - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: - Description: Fix argument translation from OpenAPI spec to OpenAI function call (and similar) - Issue: OpenGPTs failures with calling Action Server based actions. - Dependencies: None - Twitter handle: mikkorpela - [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.	6 months ago
Ethan Yang	48f84e253e	community[minor]: Add OpenVINO rerank model support (#19791 ) @eaidova @AlexKoff88 Could you help to review, thanks --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Erick Friis	4fbdc2a7ee	openai[patch]: remove openai chunk size validation (#19878 )	6 months ago
Chenhui Zhang	a1f3e9f537	community[minor]: Update ChatZhipuAI to support GLM-4 model (#16695 ) Description: Update `ChatZhipuAI` to support the latest `glm-4` model. Issue: N/A Dependencies: httpx, httpx-sse, PyJWT The previous `ChatZhipuAI` implementation requires the `zhipuai` package, and cannot call the latest GLM model. This is because - The old version `zhipuai==1.` doesn't support the latest model. - `zhipuai==2.` requires `pydantic V2`, which is incompatible with 'langchain-community'. This re-implementation invokes the GLM model by sending HTTP requests to [open.bigmodel.cn](https://open.bigmodel.cn/dev/api) via the `httpx` package, and uses the `httpx-sse` package to handle stream events. --------- Co-authored-by: zR <2448370773@qq.com>	6 months ago
Bagatur	d25b5b6f25	community[patch]: Release 0.0.31 (#19873 )	6 months ago
Erick Friis	e3ed6a7c28	ai21[patch]: fix core dep (#19874 )	6 months ago
Nuno Campos	aa5797d908	openai[patch]: Partially Revert Update openai chat model to new base class interface (#19871 ) Partially Reverts langchain-ai/langchain#19729 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Erick Friis	be92cf57ca	openai[patch]: fix azure embedding length check (#19870 )	6 months ago
Bagatur	d62e84c4f5	community[patch]: Revert " Fix the bug that Chroma does not specify `e… (#19866 ) …mbedding_function` (#19277)" This reverts commit `7042934b5f`. Fixes #19848	6 months ago
Erick Friis	7376e4dbe9	ai21[patch]: release 0.1.3 (#19867 )	6 months ago
Ángel Igareta	c2ccf22dfd	core: generate mermaid syntax and render visual graph (#19599 ) - Description: Add functionality to generate Mermaid syntax and render flowcharts from graph data. This includes support for custom node colors and edge curve styles, as well as the ability to export the generated graphs to PNG images using either the Mermaid.INK API or Pyppeteer for local rendering. - Dependencies: Optional dependencies are `pyppeteer` if rendering wants to be done using Pypeteer and Javascript code. --------- Co-authored-by: Angel Igareta <angel.igareta@klarna.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Bagatur	003c98e5b4	experimental[patch]: Release 0.0.56 (#19840 )	6 months ago
Bagatur	c4eb841c37	langchain[patch]: Release 0.1.14 (#19839 )	6 months ago
Bagatur	0242bce38c	community[patch]: Release 0.0.30 (#19838 )	6 months ago
Bagatur	08c10bd66a	core[patch]: Release 0.1.37 (#19831 )	6 months ago
Giannis	8cf1d75d08	cohere[patch]: Fix retriever (#19771 ) * Replace `source_documents` with `documents` * Pass `documents` as a named arg vs keyword * Make `parsed_docs` more robust * Fix edge case of doc page_content being `None`	6 months ago
Guangdong Liu	b6ebddbacc	langchain[patch]: Upgrade openai's sdk and solve some interface adaptation problems. #19548 (#19785 ) - #19548 - @baskaryan @eyurtsev PTAL --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Yash Mathur	c42ec58578	together[minor]: Update endpoint to non deprecated version (#19649 ) - Updating Together.ai Endpoint: "langchain_together: Updated Deprecated endpoint for partner package" - Description: The inference API of together is deprecates, do replaced with completions and made corresponding changes. - Twitter handle: @dev_yashmathur --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
hsuyuming	5ab6b39098	community[patch]: add attribution_token within GoogleVertexAISearchRetriever (#18520 ) - Description: Add attribution_token within GoogleVertexAISearchRetriever so user can provide this information to Google support team or product team during debug session. Reference: https://cloud.google.com/generative-ai-app-builder/docs/view-analytics#user-events Attribution tokens. Attribution tokens are unique IDs generated by Vertex AI Search and returned with each search request. Make sure to include that attribution token as UserEvent.attributionToken with any user events resulting from a search. This is needed to identify if a search is served by the API. Only user events with a Google-generated attribution token are used to compute metrics. - Issue: No - Dependencies: No - Twitter handle: abehsu1992626 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Kenneth Choe	f98d7f7494	langchain[minor], community[minor]: add CrossEncoderReranker with HuggingFaceCrossEncoder and SagemakerEndpointCrossEncoder (#13687 ) - Description: Support reranking based on cross encoder models available from HuggingFace. - Added `CrossEncoder` schema - Implemented `HuggingFaceCrossEncoder` and `SagemakerEndpointCrossEncoder` - Implemented `CrossEncoderReranker` that performs similar functionality to `CohereRerank` - Added `cross-encoder-reranker.ipynb` to demonstrate how to use it. Please let me know if anything else needs to be done to make it visible on the table-of-contents navigation bar on the left, or on the card list on [retrievers documentation page](https://python.langchain.com/docs/integrations/retrievers). - Issue: N/A - Dependencies: None other than the existing ones. --------- Co-authored-by: Kenny Choe <kchoe@amazon.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
LunarECL	b7d180a70d	experimental[minor]: Create Closed Captioning Chain for .mp4 videos (#14059 ) Description: Video imagery to text (Closed Captioning) This pull request introduces the VideoCaptioningChain, a tool for automated video captioning. It processes audio and video to generate subtitles and closed captions, merging them into a single SRT output. Issue: https://github.com/langchain-ai/langchain/issues/11770 Dependencies: opencv-python, ffmpeg-python, assemblyai, transformers, pillow, torch, openai Tag maintainer: @baskaryan @hwchase17 Hello!  We are a group of students from the University of Toronto (@LunarECL, @TomSadan, @nicoledroi1, @A2113S) that want to make a contribution to the LangChain community! We have ran make format, make lint and make test locally before submitting the PR. To our knowledge, our changes do not introduce any new errors. Thank you for taking the time to review our PR! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Harrison Chase	56525f2ac1	dont mutate metadata/tags (#19742 )	6 months ago
Kamal Zhang	368e35c3b1	community[patch]: introduce convert_to_secret() to bananadev llm (#14283 ) - Description: Per #12165, this PR add to BananaLLM the function convert_to_secret_str() during environment variable validation. - Issue: #12165 - Tag maintainer: @eyurtsev - Twitter handle: @treewatcha75751 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
DrKroll	c4da8d0813	langchain[patch]: load ReadFileTool (#14301 ) --------- Co-authored-by: Dr. Simon Kroll <krolls@fida.de> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
anshaneel	0884e5de7f	community[minor]: Add Alpha Vantage API Tool (#14332 ) ### Description This implementation adds functionality from the AlphaVantage API, renowned for its comprehensive financial data. The class encapsulates various methods, each dedicated to fetching specific types of financial information from the API. ### Implemented Functions - `search_symbols`: - Searches the AlphaVantage API for financial symbols using the provided keywords. - `_get_market_news_sentiment`: - Retrieves market news sentiment for a specified stock symbol from the AlphaVantage API. - `_get_time_series_daily`: - Fetches daily time series data for a specific symbol from the AlphaVantage API. - `_get_quote_endpoint`: - Obtains the latest price and volume information for a given symbol from the AlphaVantage API. - `_get_time_series_weekly`: - Gathers weekly time series data for a particular symbol from the AlphaVantage API. - `_get_top_gainers_losers`: - Provides details on top gainers, losers, and most actively traded tickers in the US market from the AlphaVantage API. ### Issue: - #11994 ### Dependencies: - 'requests' library for HTTP requests. (import requests) - 'pytest' library for testing. (import pytest) --------- Co-authored-by: Adam Badar <94140103+adam-badar@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Alex Sherstinsky	a9bc212bf2	community[minor]: fix failing Predibase integration (#19776 ) - [x] PR title: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: *Delete this entire checklist* and replace with - Description: Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - Twitter handle: `@alexsherstinsky` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
ethynic	e9caa22d47	community[patch]: Update minimax.py (#14384 ) MiniMaxChat class _generate method shoud return a ChatResult object not str Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Ahmed Moubtahij	f5d4ce840f	langchain[patch]: Simplify ensemble retriever (#14427 ) - Description: code simplification to improve readability and remove unnecessary memory allocations. - Tag maintainer: @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
M.Abdulrahman Alnaseer	ba54f1577f	community[minor]: add support for llmsherpa (#19741 ) Thank you for contributing to LangChain! - [x] PR title: "community: added support for llmsherpa library" - [x] Add tests and docs: 1. Integration test: 'docs/docs/integrations/document_loaders/test_llmsherpa.py'. 2. an example notebook: `docs/docs/integrations/document_loaders/llmsherpa.ipynb`. - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ 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 <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Bagatur	2f5606a318	mistralai[patch]: correct integration_test (#19774 )	6 months ago
Pierre Véron	ace7b66261	mistralai[patch]: add missing _combine_llm_outputs implementation in ChatMistralAI (#18603 ) # Description Implementing `_combine_llm_outputs` to `ChatMistralAI` to override the default implementation in `BaseChatModel` returning `{}`. The implementation is inspired by the one in `ChatOpenAI` from package `langchain-openai`. # Issue None # Dependencies None # Twitter handle None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Nuno Campos	d4673a3507	openai[patch]: Update openai chat model to new base class interface (#19729 )	6 months ago
harry-cohere	23fcc14650	cohere[patch]: support kwargs in with_structured_output (#19736 ) Description: We'd like to support passing additional kwargs in `with_structured_output`. I believe this is the accepted approach to enable additional arguments on API calls.	6 months ago
BeatrixCohere	bd02b83acd	cohere[patch]: Allow overriding of the base URL in Cohere Client (#19766 ) This PR adds the ability for a user to override the base API url for the Cohere client for embeddings and chat llm.	6 months ago
Nisarg Trivedi	1252ccce6f	text-splitters[minor]: Added Haskell support in langchain.text_splitter module (#16191 ) - Description: Haskell language support added in text_splitter module - Dependencies: No - Twitter handle: @nisargtr If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Hrvoje Milković	b7344e3347	community[minor]: Infobip tool integration (#16805 ) Description: Adding Tool that wraps Infobip API for sending sms or emails and email validation. Dependencies: None, Twitter handle: @hmilkovic Implementation: ``` libs/community/langchain_community/utilities/infobip.py ``` Integration tests: ``` libs/community/tests/integration_tests/utilities/test_infobip.py ``` Example notebook: ``` docs/docs/integrations/tools/infobip.ipynb ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Luka Krapic	727a2ea9f1	community[patch]: history size support for DynamoDBChatMessageHistory (#16794 ) Description: PR adds support for limiting number of messages preserved in a session history for DynamoDBChatMessageHistory --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Dt22	6dbf1a2de0	community[patch]: fix redis input type for index_schema field (#16874 ) ### Subject: Fix Type Misdeclaration for index_schema in redis/base.py I noticed a type misdeclaration for the index_schema column in the redis/base.py file. When following the instructions outlined in [Redis Custom Metadata Indexing](https://python.langchain.com/docs/integrations/vectorstores/redis) to create our own index_schema, it leads to a Pylance type error. <br/> The error message indicates that Dict[str, list[Dict[str, str]]] is incompatible with the type Optional[Union[Dict[str, str], str, os.PathLike]]. ``` index_schema = { "tag": [{"name": "credit_score"}], "text": [{"name": "user"}, {"name": "job"}], "numeric": [{"name": "age"}], } rds, keys = Redis.from_texts_return_keys( texts, embeddings, metadatas=metadata, redis_url="redis://localhost:6379", index_name="users_modified", index_schema=index_schema, ) ``` Therefore, I have created this pull request to rectify the type declaration problem. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
morgana	074ad5095f	community[patch]: mmr search for Rockset vectorstore integration (#16908 ) - Description: Adding support for mmr search in the Rockset vectorstore integration. - Issue: N/A - Dependencies: N/A - Twitter handle: `@_morgan_adams_` --------- Co-authored-by: Rockset API Bot <admin@rockset.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
shahrin014	f51e6a35ba	community[patch]: OllamaEmbeddings - Pass headers to post request (#16880 ) ## Feature - Set additional headers in constructor - Headers will be sent in post request This feature is useful if deploying Ollama on a cloud service such as hugging face, which requires authentication tokens to be passed in the request header. ## Tests - Test if header is passed - Test if header is not passed Similar to https://github.com/langchain-ai/langchain/pull/15881 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Jan Chorowski	b8b42ccbc5	community[minor]: Pathway vectorstore(#14859 ) - Description: Integration with pathway.com data processing pipeline acting as an always updated vectorstore - Issue: not applicable - Dependencies: optional dependency on [`pathway`](https://pypi.org/project/pathway/) - Twitter handle: pathway_com The PR provides and integration with `pathway` to provide an easy to use always updated vector store: ```python import pathway as pw from langchain.embeddings.openai import OpenAIEmbeddings from langchain.text_splitter import CharacterTextSplitter from langchain.vectorstores import PathwayVectorClient, PathwayVectorServer data_sources = [] data_sources.append( pw.io.gdrive.read(object_id="17H4YpBOAKQzEJ93xmC2z170l0bP2npMy", service_user_credentials_file="credentials.json", with_metadata=True)) text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0) embeddings_model = OpenAIEmbeddings(openai_api_key=os.environ["OPENAI_API_KEY"]) vector_server = PathwayVectorServer( *data_sources, embedder=embeddings_model, splitter=text_splitter, ) vector_server.run_server(host="127.0.0.1", port="8765", threaded=True, with_cache=False) client = PathwayVectorClient( host="127.0.0.1", port="8765", ) query = "What is Pathway?" docs = client.similarity_search(query) ``` The `PathwayVectorServer` builds a data processing pipeline which continusly scans documents in a given source connector (google drive, s3, ...) and builds a vector store. The `PathwayVectorClient` implements LangChain's `VectorStore` interface and connects to the server to retrieve documents. --------- Co-authored-by: Mateusz Lewandowski <lewymati@users.noreply.github.com> Co-authored-by: mlewandowski <mlewandowski@MacBook-Pro-mlewandowski.local> Co-authored-by: Berke <berkecanrizai1@gmail.com> Co-authored-by: Adrian Kosowski <adrian@pathway.com> Co-authored-by: mlewandowski <mlewandowski@macbook-pro-mlewandowski.home> Co-authored-by: berkecanrizai <63911408+berkecanrizai@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: mlewandowski <mlewandowski@MBPmlewandowski.ht.home> Co-authored-by: Szymon Dudycz <szymond@pathway.com> Co-authored-by: Szymon Dudycz <szymon.dudycz@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Arturs Konfino	2319212d54	community[patch]: avoid executing `toolkit.get_context()` when not necessary (#19762 ) If `prompt` is passed into `create_sql_agent()`, then `toolkit.get_context()` shouldn't be executed against the database unless relevant prompt variables (`table_info` or `table_names`) are present .	6 months ago
高璟琦	ec7a59c96c	community[minor]: Add solar embedding (#19761 ) Solar is a large language model developed by [Upstage](https://upstage.ai/). It's a powerful and purpose-trained LLM. You can visit the embedding service provided by Solar within this pr. You may get SOLAR_API_KEY from https://console.upstage.ai/services/embedding You can refer to more details about accepted llm integration at https://python.langchain.com/docs/integrations/llms/solar.	6 months ago
Tomaz Bratanic	dec00d3050	community[patch]: Add the ability to pass maps to neo4j retrieval query (#19758 ) Makes it easier to flatten complex values to text, so you don't have to use a lot of Cypher to do it.	6 months ago
Robby	f7e8a382cc	community[minor]: add hugging face text-to-speech inference API (#18880 ) Description: I implemented a tool to use Hugging Face text-to-speech inference API. Issue: n/a Dependencies: n/a Twitter handle: No Twitter, but do have [LinkedIn](https://www.linkedin.com/in/robby-horvath/) lol. --------- Co-authored-by: Robby <h0rv@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
DasDingoCodes	73eb3f8fd9	community[minor]: Implement DirectoryLoader lazy_load function (#19537 ) Thank you for contributing to LangChain! - [x] PR title: "community: Implement DirectoryLoader lazy_load function" - [x] Description: The `lazy_load` function of the `DirectoryLoader` yields each document separately. If the given `loader_cls` of the `DirectoryLoader` also implemented `lazy_load`, it will be used to yield subdocuments of the file. - [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: `libs/community/tests/unit_tests/document_loaders/test_directory_loader.py` 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory: `docs/docs/integrations/document_loaders/directory.ipynb` - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ 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: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Christophe Bornet	6b2b511f68	core[minor]: Add aformat_messages to FewShotChatMessagePromptTemplate and ChatPromptTemplate (#19648 ) Needed since the example selector may use a vector store.	6 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100 )	6 months ago
Ethan Yang	7164015135	community[minor]: Add Openvino embedding support (#19632 ) This PR is used to support both HF and BGE embeddings with openvino --------- Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>	6 months ago
Guangdong Liu	cd55d587c2	langchain[patch]: Upgrade openai's sdk and solve some interface adaptation problems. (#19548 ) - Issue: close #19534	6 months ago
Kirushikesh DB	12861273e1	experimental[patch]: Removed 'SQLResults:' from the LLMResponse in SQLDatabaseChain (#17104 ) Description: When using the SQLDatabaseChain with Llama2-70b LLM and, SQLite database. I was getting `Warning: You can only execute one statement at a time.`. ``` from langchain.sql_database import SQLDatabase from langchain_experimental.sql import SQLDatabaseChain sql_database_path = '/dccstor/mmdataretrieval/mm_dataset/swimming_record/rag_data/swimmingdataset.db' sql_db = get_database(sql_database_path) db_chain = SQLDatabaseChain.from_llm(mistral, sql_db, verbose=True, callbacks = [callback_obj]) db_chain.invoke({ "query": "What is the best time of Lance Larson in men's 100 meter butterfly competition?" }) ``` Error: ``` Warning Traceback (most recent call last) Cell In[31], line 3 1 import langchain 2 langchain.debug=False ----> 3 db_chain.invoke({ 4 "query": "What is the best time of Lance Larson in men's 100 meter butterfly competition?" 5 }) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain/chains/base.py:162, in Chain.invoke(self, input, config, kwargs) 160 except BaseException as e: 161 run_manager.on_chain_error(e) --> 162 raise e 163 run_manager.on_chain_end(outputs) 164 final_outputs: Dict[str, Any] = self.prep_outputs( 165 inputs, outputs, return_only_outputs 166 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain/chains/base.py:156, in Chain.invoke(self, input, config, kwargs) 149 run_manager = callback_manager.on_chain_start( 150 dumpd(self), 151 inputs, 152 name=run_name, 153 ) 154 try: 155 outputs = ( --> 156 self._call(inputs, run_manager=run_manager) 157 if new_arg_supported 158 else self._call(inputs) 159 ) 160 except BaseException as e: 161 run_manager.on_chain_error(e) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_experimental/sql/base.py:198, in SQLDatabaseChain._call(self, inputs, run_manager) 194 except Exception as exc: 195 # Append intermediate steps to exception, to aid in logging and later 196 # improvement of few shot prompt seeds 197 exc.intermediate_steps = intermediate_steps # type: ignore --> 198 raise exc File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_experimental/sql/base.py:143, in SQLDatabaseChain._call(self, inputs, run_manager) 139 intermediate_steps.append( 140 sql_cmd 141 ) # output: sql generation (no checker) 142 intermediate_steps.append({"sql_cmd": sql_cmd}) # input: sql exec --> 143 result = self.database.run(sql_cmd) 144 intermediate_steps.append(str(result)) # output: sql exec 145 else: File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_community/utilities/sql_database.py:436, in SQLDatabase.run(self, command, fetch, include_columns) 425 def run( 426 self, 427 command: str, 428 fetch: Literal["all", "one"] = "all", 429 include_columns: bool = False, 430 ) -> str: 431 """Execute a SQL command and return a string representing the results. 432 433 If the statement returns rows, a string of the results is returned. 434 If the statement returns no rows, an empty string is returned. 435 """ --> 436 result = self._execute(command, fetch) 438 res = [ 439 { 440 column: truncate_word(value, length=self._max_string_length) (...) 443 for r in result 444 ] 446 if not include_columns: File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/langchain_community/utilities/sql_database.py:413, in SQLDatabase._execute(self, command, fetch) 410 elif self.dialect == "postgresql": # postgresql 411 connection.exec_driver_sql("SET search_path TO %s", (self._schema,)) --> 413 cursor = connection.execute(text(command)) 414 if cursor.returns_rows: 415 if fetch == "all": File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1416, in Connection.execute(self, statement, parameters, execution_options) 1414 raise exc.ObjectNotExecutableError(statement) from err 1415 else: -> 1416 return meth( 1417 self, 1418 distilled_parameters, 1419 execution_options or NO_OPTIONS, 1420 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/sql/elements.py:516, in ClauseElement._execute_on_connection(self, connection, distilled_params, execution_options) 514 if TYPE_CHECKING: 515 assert isinstance(self, Executable) --> 516 return connection._execute_clauseelement( 517 self, distilled_params, execution_options 518 ) 519 else: 520 raise exc.ObjectNotExecutableError(self) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1639, in Connection._execute_clauseelement(self, elem, distilled_parameters, execution_options) 1627 compiled_cache: Optional[CompiledCacheType] = execution_options.get( 1628 "compiled_cache", self.engine._compiled_cache 1629 ) 1631 compiled_sql, extracted_params, cache_hit = elem._compile_w_cache( 1632 dialect=dialect, 1633 compiled_cache=compiled_cache, (...) 1637 linting=self.dialect.compiler_linting \| compiler.WARN_LINTING, 1638 ) -> 1639 ret = self._execute_context( 1640 dialect, 1641 dialect.execution_ctx_cls._init_compiled, 1642 compiled_sql, 1643 distilled_parameters, 1644 execution_options, 1645 compiled_sql, 1646 distilled_parameters, 1647 elem, 1648 extracted_params, 1649 cache_hit=cache_hit, 1650 ) 1651 if has_events: 1652 self.dispatch.after_execute( 1653 self, 1654 elem, (...) 1658 ret, 1659 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1848, in Connection._execute_context(self, dialect, constructor, statement, parameters, execution_options, args, kw) 1843 return self._exec_insertmany_context( 1844 dialect, 1845 context, 1846 ) 1847 else: -> 1848 return self._exec_single_context( 1849 dialect, context, statement, parameters 1850 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1988, in Connection._exec_single_context(self, dialect, context, statement, parameters) 1985 result = context._setup_result_proxy() 1987 except BaseException as e: -> 1988 self._handle_dbapi_exception( 1989 e, str_statement, effective_parameters, cursor, context 1990 ) 1992 return result File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:2346, in Connection._handle_dbapi_exception(self, e, statement, parameters, cursor, context, is_sub_exec) 2344 else: 2345 assert exc_info[1] is not None -> 2346 raise exc_info[1].with_traceback(exc_info[2]) 2347 finally: 2348 del self._reentrant_error File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/base.py:1969, in Connection._exec_single_context(self, dialect, context, statement, parameters) 1967 break 1968 if not evt_handled: -> 1969 self.dialect.do_execute( 1970 cursor, str_statement, effective_parameters, context 1971 ) 1973 if self._has_events or self.engine._has_events: 1974 self.dispatch.after_cursor_execute( 1975 self, 1976 cursor, (...) 1980 context.executemany, 1981 ) File ~/.conda/envs/guardrails1/lib/python3.9/site-packages/sqlalchemy/engine/default.py:922, in DefaultDialect.do_execute(self, cursor, statement, parameters, context) 921 def do_execute(self, cursor, statement, parameters, context=None): --> 922 cursor.execute(statement, parameters) Warning: You can only execute one statement at a time. ``` Issue:* The Error occurs because when generating the SQLQuery, the llm_input includes the stop character of "\nSQLResult:", so for this user query the LLM generated response is SELECT Time FROM men_butterfly_100m WHERE Swimmer = 'Lance Larson';\nSQLResult: it is required to remove the SQLResult suffix on the llm response before executing it on the database. ``` llm_inputs = { "input": input_text, "top_k": str(self.top_k), "dialect": self.database.dialect, "table_info": table_info, "stop": ["\nSQLResult:"], } sql_cmd = self.llm_chain.predict( callbacks=_run_manager.get_child(), llm_inputs, ).strip() if SQL_RESULT in sql_cmd: sql_cmd = sql_cmd.split(SQL_RESULT)[0].strip() result = self.database.run(sql_cmd) ``` <!-- 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: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
T Cramer	540ebf35a9	community[patch]: Add explicit error message to Bedrock error output. (#17328 ) - Description: Propagate Bedrock errors into Langchain explicitly. Use-case: unset region error is hidden behind 'Could not load credentials...' message - Issue: [17654](https://github.com/langchain-ai/langchain/issues/17654) - Dependencies: None --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Marcus Virginia	69bb96c80f	community[patch]: surrealdb handle for empty metadata and allow collection names with complex characters (#17374 ) - Description: Handle for empty metadata and allow collection names with complex characters - Issue: #17057 - Dependencies: `surrealdb` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
ale-delfino	0df76bee37	core[patch]:: XML parser to cover the case when the xml only contains the root level tag (#17456 ) Description: Fix xml parser to handle strings that only contain the root tag Issue: N/A Dependencies: None Twitter handle: N/A A valid xml text can contain only the root level tag. Example: <body> Some text here </body> The example above is a valid xml string. If parsed with the current implementation the result is {"body": []}. This fix checks if the root level text contains any non-whitespace character and if that's the case it returns {root.tag: root.text}. The result is that the above text is correctly parsed as {"body": "Some text here"} @ale-delfino Thank you for contributing to LangChain! Checklist: - [x] PR title: Please title your PR "package: description", where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] PR message: Delete this entire template message and replace it with the following bulleted list - Description: a description of the change - Issue: the issue # it fixes, if applicable - Dependencies: any dependencies required for this change - Twitter handle: if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] 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. 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: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
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>	6 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>	6 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>	6 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>	6 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>	6 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>	6 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>	6 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>	6 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>	6 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	6 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>	6 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.	6 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	6 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>	6 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>	6 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>	6 months ago
wulixuan	b7c8bc8268	community[patch]: fix yuan2 errors in LLMs (#19004 ) 1. fix yuan2 errors while invoke Yuan2. 2. update tests.	6 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>	6 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>	6 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>	6 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)	6 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>	6 months ago
Erick Friis	e576d6c6b4	cohere[patch]: release 0.1.0rc1 (rc1-2 never released) (#19731 )	6 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>	6 months ago
Guangdong Liu	0571f886d1	core[patch]: Fix jsonOutputParser fails if a json value contains ``` inside it. (#19717 ) - Issue: fix #19646 - @baskaryan, @eyurtsev PTAL	6 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>	6 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>	6 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>	6 months ago
Erick Friis	8c2ed85a45	core[patch], infra: release 0.1.36, run partner CI on core PRs (#19688 )	6 months ago
Erick Friis	5327bc9ec4	elasticsearch[patch]: move to repo (#19620 )	6 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	6 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	6 months ago

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