langchain

Commit Graph

Author	SHA1	Message	Date
Rajendra Kadam	a6add89bd4	community[minor]: [PebbloSafeLoader] Implement content-size-based batching (#24871 ) - Title: [PebbloSafeLoader] Implement content-size-based batching in the classification flow(loader/doc API) - Description: - Implemented content-size-based batching in the loader/doc API, set to 100KB with no external configuration option, intentionally hard-coded to prevent timeouts. - Remove unused field(pb_id) from doc_metadata - Issue: NA - Dependencies: NA - Add tests and docs: Updated	2 months ago
TrumanYan	096b66db4a	community: replace it with Tencent Cloud SDK (#24172 ) Description: The old method will be discontinued; use the official SDK for more model options. Issue: None Dependencies: None Twitter handle: None Co-authored-by: trumanyan <trumanyan@tencent.com>	2 months ago
Erick Friis	99eb31ec41	cli: embed docstring template (#24855 )	2 months ago
Noah Peterson	4b2a8ce6c7	docs: Shorten unreasonably long OllamaEmbeddings page (#24850 ) This change removes excessive embeddings output in the Jupyter Notebook on the [Ollama text embedding page](https://python.langchain.com/v0.2/docs/integrations/text_embedding/ollama/)	2 months ago
Erick Friis	3999e9035c	cli/docs: embedding template standardization (#24849 )	2 months ago
Bagatur	1181c10c65	docs: reorder integrations sidebar (#24847 )	2 months ago
Bagatur	943126c5fd	docs: chat model pkg links (#24845 )	2 months ago
Erick Friis	1f5444817a	community: deprecate BedrockEmbeddings in favor of langchain-aws (#24846 )	2 months ago
Jacob Lee	21eb4c9e5d	docs[patch]: Adds first kv store doc matching new template (#24844 )	2 months ago
Bagatur	a4e940550a	docs: integrations custom callout (#24843 )	2 months ago
Bagatur	61ecb10a77	docs: partner pkg table (#24840 )	2 months ago
Erick Friis	b099cc3507	cli: release 0.0.27 (#24842 )	2 months ago
Bagatur	419f2c2585	cli[patch]: tool integration templates (#24837 ) Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
mschoenb97IL	19b127f640	langchain: Update Langchain -> Langgraph migration docs for the deprecation of the `messages_modifier` parameter. (#24839 ) Description: Updated the Langgraph migration docs to use `state_modifier` rather than `messages_modifier` Issue: N/A Dependencies: N/A - [ 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/ --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
ccurme	c123cb2b30	docs: update migration guide (#24835 ) Move to its own section in the sidebar.	2 months ago
Erick Friis	957b05b8d5	infra: py3.11 for community integration test compiling (#24834 ) e.g. https://github.com/langchain-ai/langchain/actions/runs/10167754785/job/28120861343?pr=24833	2 months ago
Erick Friis	88418af3f5	core: release 0.2.25 (#24833 )	2 months ago
Bagatur	37b060112a	langchain[patch]: fix ollama in init_chat_model (#24832 )	2 months ago
Jerron Lim	d8f3ea82db	langchain[patch]: init_chat_model() to import ChatOllama from langchain-ollama and fallback on langchain-community (#24821 ) Description: init_chat_model() should import ChatOllama from `langchain-ollama`. If that fails, fallback to `langchain-community`	2 months ago
Eugene Yurtsev	3a7f3d46c3	docs: Add pydantic compatibility to side bar (#24826 ) Add pydantic compatibility to side bar	2 months ago
Isaac Francisco	511242280b	[docs]: standardize vectorstores (#24797 )	2 months ago
Jacob Lee	ac649800df	docs[patch]: Adds kv store integration docs template (#24804 )	2 months ago
cffranco94	b01d938997	experimental: Add config to convert_to_graph_documents (#24012 ) PR title: Experimental: Add config to convert_to_graph_documents Description: In order to use langfuse, i need to pass the langfuse configuration when invoking the chain. langchain_experimental does not allow to add any parameters (beside the documents) to the convert_to_graph_documents method. This way, I cannot monitor the chain in langfuse. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --------- Co-authored-by: Catarina Franco <catarina.franco@criticalsoftware.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Shailendra Mishra	f2d810b3c0	clob_bugfix... (#24813 ) 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, ccurme, vbarda, hwchase17.	2 months ago
Anush	51b15448cc	community: Fix FastEmbedEmbeddings (#24462 ) ## Description This PR: - Fixes the validation error in `FastEmbedEmbeddings`. - Adds support for `batch_size`, `parallel` params. - Removes support for very old FastEmbed versions. - Updates the FastEmbed doc with the new params. Associated Issues: - Resolves #24039 - Resolves #https://github.com/qdrant/fastembed/issues/296	2 months ago
ccurme	73ec24fc56	docs[patch]: add toolkit template (#24791 )	2 months ago
Tamir Zitman	b3e1378f2b	langchain : text_splitters Added PowerShell (#24582 ) - Description: Added PowerShell support for text splitters language include docs relevant update - Issue: None - Dependencies: None --------- Co-authored-by: tzitman <tamir.zitman@intel.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
ccurme	187ee96f7a	docs: update chat model feature table (#24822 )	2 months ago
Nuno Campos	68ecebf1ec	core: Fix implementation of trim_first_node/trim_last_node to use exact same definition of first/last node as in the getter methods (#24802 )	2 months ago
Igor Drozdov	c2706cfb9e	feat(community): add tools support for litellm (#23906 ) I used the following example to validate the behavior ```python from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import ConfigurableField from langchain_anthropic import ChatAnthropic from langchain_community.chat_models import ChatLiteLLM from langchain_core.tools import tool from langchain.agents import create_tool_calling_agent, AgentExecutor @tool def multiply(x: float, y: float) -> float: """Multiply 'x' times 'y'.""" return x * y @tool def exponentiate(x: float, y: float) -> float: """Raise 'x' to the 'y'.""" return x**y @tool def add(x: float, y: float) -> float: """Add 'x' and 'y'.""" return x + y prompt = ChatPromptTemplate.from_messages([ ("system", "you're a helpful assistant"), ("human", "{input}"), ("placeholder", "{agent_scratchpad}"), ]) tools = [multiply, exponentiate, add] llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0) # llm = ChatLiteLLM(model="claude-3-sonnet-20240229", temperature=0) agent = create_tool_calling_agent(llm, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what's 3 plus 5 raised to the 2.743. also what's 17.24 - 918.1241", }) ``` `ChatAnthropic` version works: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: [{'text': 'To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:', 'type': 'text', 'index': 0}, {'id': 'toolu_01Gf54DFTkfLMJQX3TXffmxe', 'input': {}, 'name': 'exponentiate', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 5, "y": 2.743}'}] 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` responded: [{'id': 'toolu_01XUq9S56GT3Yv2N1KmNmmWp', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 0, 'partial_json': '{"x": 3, "y": 82.65606421491815}'}] 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: [{'text': '\n\nSo 3 + 5^2.743 = 85.66\n\nTo calculate 17.24 - 918.1241, we can use:', 'type': 'text', 'index': 0}, {'id': 'toolu_01BkXTwP7ec9JKYtZPy5JKjm', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 17.24, "y": -918.1241}'}] -900.8841[{'text': '\n\nTherefore, 17.24 - 918.1241 = -900.88', 'type': 'text', 'index': 0}] > Finished chain. ``` While `ChatLiteLLM` version doesn't. But with the changes in this PR, along with: - https://github.com/langchain-ai/langchain/pull/23823 - https://github.com/BerriAI/litellm/pull/4554 The result is _almost_ the same: ``` > Entering new AgentExecutor chain... Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}` responded: To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools: 82.65606421491815 Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}` 85.65606421491815 Invoking: `add` with `{'x': 17.24, 'y': -918.1241}` responded: So 3 + 5^2.743 = 85.66 To calculate 17.24 - 918.1241, we can use: -900.8841 Therefore, 17.24 - 918.1241 = -900.88 > Finished chain. ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
David Robertson	bfb7f8d40a	Brave Search: Enhance search result details with extra snippets (#19209 ) Description: This update significantly improves the Brave Search Tool's utility within the LangChain library by enriching the search results it returns. The tool previously returned title, link, and snippet, with the snippet being a truncated 140-character description from the search engine. To make the search results more informative, this update enables extra_snippets by default and introduces additional result fields: title, link, description (enhancing and renaming the former snippet field), age, and snippets. The snippets field provides a list of strings summarizing the webpage, utilizing Brave's capability for more detailed search insights. This enhancement aims to make the search tool far more informative and beneficial for users. Issue: N/A Dependencies: No additional dependencies introduced. Twitter handle: @davidalexr987 Code Changes Summary: - Changed the default setting to include extra_snippets in search results. - Renamed the snippet field to description to accurately reflect its content and included an age field for search results. - Introduced a snippets field that lists webpage summaries, providing users with comprehensive search result insights. Backward Compatibility Note: The renaming of snippet to description improves the accuracy of the returned data field but may impact existing users who have developed integration's or analyses based on the snippet field. I believe this change is essential for clarity and utility, and it aligns better with the data provided by Brave Search. Additional Notes: This proposal focuses exclusively on the Brave Search package, without affecting other LangChain packages or introducing new dependencies.	2 months ago
Eugene Yurtsev	873f64751e	docs: Remove danger on how to migrate to astream events v2 (#24825 ) Users should migrate to v2 now	2 months ago
Ben Chambers	435771fe74	[community]: Fix package name mismatch (#24824 ) - Description: fix a mismatch in pypi package names	2 months ago
ccurme	b7bbfc7c67	langchain: revert "init_chat_model() to support ChatOllama from langchain-ollama" (#24819 ) Reverts langchain-ai/langchain#24818 Overlooked discussion in https://github.com/langchain-ai/langchain/pull/24801.	2 months ago
Jerron Lim	5abfc85fec	langchain: init_chat_model() to support ChatOllama from langchain-ollama (#24818 ) Description: Since moving away from `langchain-community` is recommended, `init_chat_models()` should import ChatOllama from `langchain-ollama` instead.	2 months ago
Eugene Yurtsev	4fab8996cf	docs: Update pydantic compatibility (#24625 ) Update pydantic compatibility. This will only be true after we release the partner packages.	2 months ago
Jacob Lee	d6ca1474e0	docs[patch]: Adds key-value store to conceptual guide (#24798 )	2 months ago
Erick Friis	cdaea17b3e	cli/docs: llm integration template standardization (#24795 )	2 months ago
Bagatur	a6d1fb4275	core[patch]: introduce ToolMessage.status (#24628 ) Anthropic models (including via Bedrock and other cloud platforms) accept a status/is_error attribute on tool messages/results (specifically in `tool_result` content blocks for Anthropic API). Adding a ToolMessage.status attribute so that users can set this attribute when using those models	2 months ago
Isaac Francisco	78d97b49d9	[partner]: ollama llm fix (#24790 )	2 months ago
maang-h	4bb1a11e02	community: Add MiniMaxChat bind_tools and structured output (#24310 ) - Description: - Add `bind_tools` method to support tool calling - Add `with_structured_output` method to support structured output	2 months ago
John	0a2ff40fcc	partners/unstructured: fix client api_url (#24680 ) Description: Add empty string default for api_key and change `server_url` to `url` to match existing loaders. - [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, ccurme, vbarda, hwchase17.	2 months ago
maang-h	bf685c242f	docs: Standardize QianfanEmbeddingsEndpoint (#24786 ) - Description: Standardize QianfanEmbeddingsEndpoint, include: - docstrings, the issue #21983 - model init arg names, the issue #20085	2 months ago
ccurme	9998e55936	core[patch]: support tool calls with non-pickleable args in tools (#24741 ) Deepcopy raises with non-pickleable args.	2 months ago
Erick Friis	df78608741	mongodb: bson optional import (#24685 )	2 months ago
M. Ali	c086410677	fix docs typos (#23668 ) Thank you for contributing to LangChain! - [x] PR title: "docs: fix multiple typos" Co-authored-by: mohblnk <mohamed.ali@blnk.ai> Co-authored-by: ccurme <chester.curme@gmail.com>	2 months ago
Pere Pasamonte	98175860ad	community: Fix AWS DocumentDB similarity_search when filter is None (#24777 ) Description Fixes DocumentDBVectorSearch similarity_search when no filter is used; it defaults to None but $match does not accept None, so changed default to empty {} before pipeline is created. Issue AWS DocumentDB similarity search does not work when no filter is used. Error msg: "the match filter must be an expression in an object" #24775 Dependencies No dependencies Twitter handle https://x.com/perepasamonte --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Lennart J. Kurzweg	7da0597ecb	partners[ollama]: Support seed parameter for ChatOllama (#24782 ) ## Description Adds seed parameter to ChatOllama ## Resolves Issues - #24703 ## Dependency Changes None Co-authored-by: Lennart J. Kurzweg (Nx2) <git@nx2.site>	2 months ago
ccurme	e264ccf484	standard-tests[patch]: update groq and structured output test (#24781 ) - Mixtral with Groq has started consistently failing tool calling tests. Here we restrict testing to llama 3.1. - `.schema` is deprecated in pydantic proper in favor of `.model_json_schema`.	2 months ago
ZhangShenao	4a05679fdb	patch[experimental] Fix prompt in `GenerativeAgentMemory` (#24771 ) There is an issue with the prompt format in `GenerativeAgentMemory` , try to fix it. The prompt is same as the one in method `_score_memory_importance`.	2 months ago

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