langchain

Commit Graph

Author	SHA1	Message	Date
Nikita Pakunov	c776471ac6	community: fix AttributeError: 'YandexGPT' object has no attribute '_grpc_metadata' (#24432 ) Fixes #24049 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	752a71b688	integrations[patch]: release model packages (#24900 )	2 months ago
Jacob Lee	1213a59f87	docs[patch]: Update kv store docs pages (#24848 )	2 months ago
Erick Friis	17a06cb7a6	infra: check templates based on integration (#24857 ) instead of hardcoding a linter for each, iterate through the lines of the template notebook and find lines that start with `##` (includes lower headings), and enforce that those headings are found in new docs that are contributed	2 months ago
Erick Friis	a7380dd531	cli: release 0.0.28 (#24852 )	2 months ago
Erick Friis	e98e4be0f7	cli: register new integration doc templates (#24854 ) - wait to merge for retriever.ipynb merge #24836	2 months ago
Eugene Yurtsev	210623b409	core[minor]: Add support for pydantic 2 to utility to get fields (#24899 ) Add compatibility for pydantic 2 for a utility function. This will help push some small changes to master, so they don't have to be kept track of on a separate branch.	2 months ago
Bagatur	7d1694040d	core[patch]: Release 0.2.26 (#24898 )	2 months ago
Eugene Yurtsev	add16111b9	community[patch]: Make the pydantic linter stricter (#24897 ) Stricter linting of deprecated pydantic features.	2 months ago
Eugene Yurtsev	a4a444f73d	community[patch]: Fix arcee llm usage of root_validator(pre=False) (#24896 ) Should be pre=True	2 months ago
Eugene Yurtsev	69c656aa5f	langchain[minor]: Upgrade ambiguous root_validator to @pre_init (#24895 ) The @pre_init validator is a temporary solution for base models. It has similar (but not identical) semantics to @root_validator(), but it works strictly as a pre-init validator. It'll work as expected as long as the pydantic model type hints were correct.	2 months ago
Eugene Yurtsev	5099a9c9b4	core[patch]: Update unit tests with a workaround for using AnyID in pydantic 2 (#24892 ) Pydantic 2 ignores __eq__ overload for subclasses of strings.	2 months ago
Bagatur	8461934c2b	core[patch], integrations[patch]: convert TypedDict to tool schema support (#24641 ) supports following UX ```python class SubTool(TypedDict): """Subtool docstring""" args: Annotated[Dict[str, Any], {}, "this does bar"] class Tool(TypedDict): """Docstring Args: arg1: foo """ arg1: str arg2: Union[int, str] arg3: Optional[List[SubTool]] arg4: Annotated[Literal["bar", "baz"], ..., "this does foo"] arg5: Annotated[Optional[float], None] ``` - can parse google style docstring - can use Annotated to specify default value (second arg) - can use Annotated to specify arg description (third arg) - can have nested complex types	2 months ago
Eugene Yurtsev	d24b82357f	community[patch]: Add missing annotations (#24890 ) This PR adds annotations in comunity package. Annotations are only strictly needed in subclasses of BaseModel for pydantic 2 compatibility. This PR adds some unnecessary annotations, but they're not bad to have regardless for documentation pages.	2 months ago
Eugene Yurtsev	7720483432	langchain[patch]: Update unit tests to workaround a pydantic 2 issue (#24886 ) This will allow our unit tests to pass when using AnyID() with our pydantic models.	2 months ago
Eugene Yurtsev	2019e31bc5	langchain[patch]: Add missing type annotations (#24889 ) Adds missing type annotations in preparation for pydantic 2 upgrade.	2 months ago
ccurme	30f18c7b02	docs: add retriever integrations template (#24836 )	2 months ago
Anirudh31415926535	4da3d4b18e	docs: Minor corrections and updates to Cohere docs (#22726 ) - Description: Update the Cohere's provider and RagRetriever documentations with latest updates. - Twitter handle: Anirudh1810	2 months ago
ccurme	40b4a3de6e	docs: update chat model integration pages (#24882 ) to conform with template	2 months ago
Nishan Jain	b00c0fc558	[Community][minor]: Added prompt governance in pebblo_retrieval (#24874 ) Title: [pebblo_retrieval] Identifying entities in prompts given in PebbloRetrievalQA leading to prompt governance Description: Implemented identification of entities in the prompt using Pebblo prompt governance API. Issue: NA Dependencies: NA Add tests and docs: NA	2 months ago
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

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