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Author	SHA1	Message	Date
Dhruv Chawla	d6d559d50d	community[minor]: add UpTrainCallbackHandler (#19956) ... - **Description:** This PR adds a callback handler for UpTrain. It performs evaluations in the RAG pipeline to check the quality of retrieved documents, generated queries and responses. - **Dependencies:** - The UpTrainCallbackHandler requires the uptrain package --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Bagatur	07f23bd4ff	docs: response metadata (#20527)	3 months ago
Leonid Ganeline	45d045b2c5	core[minor], langchain[patch]: `tools` dependencies refactoring (#18759) ... The `langchain.tools` [namespace](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.tools) can be completely eliminated by moving one class and 3 functions into `core`. It makes sense since the class and functions are very core.	3 months ago
Erick Friis	77eba10f47	standard-tests: fix default fixtures (#20520)	3 months ago
Ravindu Somawansa	5acc7ba622	community[minor]: Add glue catalog loader (#20220) ... Add Glue Catalog loader	3 months ago
Dawson Bauer	aab075345e	core[patch]: Fix imports defined in messages sub-package (#20500) ... core[patch]: Fix imports defined in messages sub-package (#20500)	3 months ago
Fayfox	9fd36efdb5	anthropic[patch]: env ANTHROPIC_API_URL not work (#20507) ... enviroment variable ANTHROPIC_API_URL will not work if anthropic_api_url has default value --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Martín Gotelli Ferenaz	b48add4353	community[patch]: Fix pgvector deprecated filter clause usage with OR and AND conditions (#20446) ... **Description**: Support filter by OR and AND for deprecated PGVector version **Issue**: #20445 **Dependencies**: N/A **Twitter** handle: @martinferenaz	3 months ago
Eugene Yurtsev	c50099161b	community[patch]: Use uuid4 not uuid1 (#20487) ... Using UUID1 is incorrect since it's time dependent, which makes it easy to generate the exact same uuid	3 months ago
Bagatur	f7667c614b	docs: update tool use case (#20404)	3 months ago
Erick Friis	86cf1d3ee1	community: release 0.0.33 (#20490)	3 months ago
Erick Friis	90184255f8	core: release 0.1.43 (#20489)	3 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>	3 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	3 months ago
Averi Kitsch	30b00090ef	docs: Add Google Firestore Vectorstore doc (#20078) ... - **Description:**Add Google Firestore Vector store docs - **Issue:** NA - **Dependencies:** NA --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Leonid Kuligin	cc3c343673	docs: changed model's name in google-vertex-ai integration to a publicly available model (#20482) ... docs: changed model's name in google-vertex-ai integration to a publicly available model	3 months ago
Leonid Ganeline	7ea80bcb22	docs: tutorials update (#20483) ... Added the `freeCodeCamp` tutorials link	3 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>	3 months ago
Mohammed Noumaan Ahamed	4dd05791a2	docs: quickstart retrieval chain for Cohere(API) (#20475) ... - **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! Description: fixes LangChainDeprecationWarning: The class `langchain_community.embeddings.cohere.CohereEmbeddings` was deprecated in langchain-community 0.0.30 and will be removed in 0.2.0. An updated version of the class exists in the langchain-cohere package and should be used instead. To use it run `pip install -U langchain-cohere` and import as `from langchain_cohere import CohereEmbeddings`.  Dependencies : langchain_cohere Twitter handle: @Mo_Noumaan	3 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.	3 months ago
Eugene Yurtsev	3cbc4693f5	docs: Add integration doc for postgres vectorstore (#20473) ... Adds a postgres vectorstore via langchain-postgres.	3 months ago
Leonid Kuligin	676c68d318	community[patch]: deprecating remaining google_community integrations (#20471) ... Deprecating remaining google community integrations	3 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.	3 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>	3 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.	3 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>	3 months ago
Guangdong Liu	4be7ca7b4c	community[patch]:sparkllm standardize init args (#20194) ... Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	3 months ago
Rohit Agarwal	7d7a08e458	docs: Update Portkey provider integration (#20412) ... **Description:** Updates the documentation for Portkey and Langchain. Also updates the notebook. The current documentation is fairly old and is non-functional. **Twitter handle:** @portkeyai --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 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"]) ```	3 months ago
Kenneth Choe	b507cd222b	docs: changed the link to more helpful source (#20411) ... docs: changed a link to better source [Previous link](https://www.philschmid.de/custom-inference-huggingface-sagemaker) is about how to upload embeddings model. [New link](https://huggingface.co/blog/kchoe/deploy-any-huggingface-model-to-sagemaker) is about how to upload cross encoder model, which directly addresses what is needed here. For full disclosure, I wrote this article and the sample `inference.py` is the result of this new article. Co-authored-by: Kenny Choe <kchoe@amazon.com>	3 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>	3 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.'} ```	3 months ago
Leonid Ganeline	6dc4f592ba	docs: tutorials update (#20401) ... Added 3 new `LangChain.ai` playlists	3 months ago
ccurme	38faa74c23	community[patch]: update use of deprecated llm methods (#20393) ... .predict and .predict_messages for BaseLanguageModel and BaseChatModel	3 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>	3 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>	3 months ago
Eugene Yurtsev	4808441d29	Docs: Add guide for implementing custom retriever (#20350) ... Add longer guide for implementing custom retriever. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 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>	3 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>	3 months ago
Erick Friis	d83b720c40	templates: readme langsmith not private beta (#20173)	3 months ago
michael	525226fb0b	docs: fix extraction/quickstart.ipynb example code (#20397) ... - **Description**: The pydantic schema fields are supposed to be optional but the use of `...` makes them required. This causes a `ValidationError` when running the example code. I replaced `...` with `default=None` to make the fields optional as intended. I also standardized the format for all fields. - **Issue**: n/a - **Dependencies**: none - **Twitter handle**: https://twitter.com/m_atoms --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 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.	3 months ago
milind	1b272fa2f4	Update index.mdx (#20395) ... spelling error fixed 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.	3 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>	3 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>	3 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	3 months ago
Erick Friis	20f5cd7c95	docs: langchain-chroma package (#20394)	3 months ago
Haris Ali	6786fa9186	docs: Adding api documentation link at the end of each output parser class description page. (#20391) ... - **Description:** Added cross-links for easy access of api documentation of each output parser class from it's description page. - **Issue:** related to issue #19969 Co-authored-by: Haris Ali <haris.ali@formulatrix.com>	3 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 } ```	3 months ago
Bagatur	57bb940c17	docs: vertexai tool call update (#20362)	3 months ago