5008 Commits (1318d534afb8e8db4acf69baa9a12c779fec5297)

Author	SHA1	Message	Date
Carlos André Antunes	20151384d7	fix azure_openai.py: some keys do not exists (#24158) ... In some lines its trying to read a key that do not exists yet. In this cases I changed the direct access to dict.get() method Thank you for contributing to LangChain! - [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/	2 months ago
blueoom	d895614d19	text_splitters: add request parameters for function HTMLHeaderTextSplitter.split_text… (#24178) ... **Description:** The `split_text_from_url` method of `HTMLHeaderTextSplitter` does not include parameters like `timeout` when using `requests` to send a request. Therefore, I suggest adding a `kwargs` parameter to the function, which can be passed as arguments to `requests.get()` internally, allowing control over the `get` request. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
Bagatur	9d0c1d2dc9	docs: specify init_chat_model version (#24274)	2 months ago
Bagatur	c9473367b1	langchain[patch]: Release 0.2.8 (#24273)	2 months ago
JP-Ellis	f77659463a	core[patch]: allow message utils to work with lcel (#23743) ... The functions `convert_to_messages` has had an expansion of the arguments it can take: 1. Previously, it only could take a `Sequence` in order to iterate over it. This has been broadened slightly to an `Iterable` (which should have no other impact). 2. Support for `PromptValue` and `BaseChatPromptTemplate` has been added. These are generated when combining messages using the overloaded `+` operator. Functions which rely on `convert_to_messages` (namely `filter_messages`, `merge_message_runs` and `trim_messages`) have had the type of their arguments similarly expanded. Resolves #23706. <!-- If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --> --------- Signed-off-by: JP-Ellis <josh@jpellis.me> Co-authored-by: Bagatur <baskaryan@gmail.com>	2 months ago
Harold Martin	ccdaf14eff	docs: Spell check fixes (#24217) ... **Description:** Spell check fixes for docs, comments, and a couple of strings. No code change e.g. variable names. **Issue:** none **Dependencies:** none **Twitter handle:** hmartin	2 months ago
Leonid Ganeline	cacdf96f9c	core docstrings `tracers` update (#24211) ... Added missed docstrings. Formatted docstrings to the consistent form.	2 months ago
Leonid Ganeline	36ee083753	core: docstrings `utils` update (#24213) ... Added missed docstrings. Formatted docstrings to the consistent form.	2 months ago
thehunmonkgroup	e8a21146d3	community[patch]: upgrade default model for ChatAnyscale (#24232) ... Old default `meta-llama/Llama-2-7b-chat-hf` no longer supported.	2 months ago
Bagatur	620b118c70	core[patch]: Release 0.2.19 (#24272)	2 months ago
ccurme	888fbc07b5	core[patch]: support passing `args_schema` through `as_tool` (#24269) ... Note: this allows the schema to be passed in positionally. ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.runnables import RunnableLambda class Add(BaseModel): """Add two integers together.""" a: int = Field(..., description="First integer") b: int = Field(..., description="Second integer") def add(input: dict) -> int: return input["a"] + input["b"] runnable = RunnableLambda(add) as_tool = runnable.as_tool(Add) as_tool.args_schema.schema() ``` ``` {'title': 'Add', 'description': 'Add two integers together.', 'type': 'object', 'properties': {'a': {'title': 'A', 'description': 'First integer', 'type': 'integer'}, 'b': {'title': 'B', 'description': 'Second integer', 'type': 'integer'}}, 'required': ['a', 'b']} ```	2 months ago
ccurme	ab2d7821a7	fireworks[patch]: use firefunction-v2 in standard tests (#24264)	2 months ago
ccurme	6fc7610b1c	standard-tests[patch]: update test_bind_runnables_as_tools (#24241) ... Reduce number of tool arguments from two to one.	2 months ago
Bagatur	0da5078cad	langchain[minor]: Generic configurable model (#23419) ... alternative to [23244](https://github.com/langchain-ai/langchain/pull/23244). allows you to use chat model declarative methods 	2 months ago
Bagatur	d0728b0ba0	core[patch]: add tool name to tool message (#24243) ... Copying current ToolNode behavior	2 months ago
Bagatur	5c3e2612da	core[patch]: Release 0.2.18 (#24230)	2 months ago
Bagatur	65321bf975	core[patch]: fix ToolCall "type" when streaming (#24218)	2 months ago
Anush	a653b209ba	qdrant: test new QdrantVectorStore (#24165) ... ## Description This PR adds integration tests to follow up on #24164. By default, the tests use an in-memory instance. To run the full suite of tests, with both in-memory and Qdrant server: ``` $ docker run -p 6333:6333 qdrant/qdrant $ make test $ make integration_test ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Roman Solomatin	f071581aea	openai[patch]: update openai params (#23691) ... **Description:** Explicitly add parameters from openai API - [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: Erick Friis <erick@langchain.dev>	2 months ago
Leonid Ganeline	f0a7581b50	milvus: docstring (#23151) ... Added missed docstrings. Format docstrings to the consistent format (used in the API Reference) --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Christian D. Glissov	474b88326f	langchain_qdrant: Added method "_asimilarity_search_with_relevance_scores" to Qdrant class (#23954) ... I stumbled upon a bug that led to different similarity scores between the async and sync similarity searches with relevance scores in Qdrant. The reason being is that _asimilarity_search_with_relevance_scores is missing, this makes langchain_qdrant use the method of the vectorstore baseclass leading to drastically different results. To illustrate the magnitude here are the results running an identical search in a test vectorstore. Output of asimilarity_search_with_relevance_scores: [0.9902903374601824, 0.9472135924938804, 0.8535534011299859] Output of similarity_search_with_relevance_scores: [0.9805806749203648, 0.8944271849877607, 0.7071068022599718] Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	bdc03997c9	standard-tests[patch]: check for ToolCall["type"] (#24209)	2 months ago
Miroslav	aee55eda39	community: Skip Login to HuggubgFaceHub when token is not set (#21561) ... Thank you for contributing to LangChain! - [ ] **HuggingFaceEndpoint**: "Skip Login to HuggingFaceHub" - Where: langchain, community, llm, huggingface_endpoint - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Skip login to huggingface hub when when `huggingfacehub_api_token` is not set. This is needed when using custom `endpoint_url` outside of HuggingFaceHub. - **Issue:** the issue # it fixes https://github.com/langchain-ai/langchain/issues/20342 and https://github.com/langchain-ai/langchain/issues/19685 - **Dependencies:** None - [ ] **Add tests and docs**: 1. Tested with locally available TGI endpoint 2. Example Usage ```python from langchain_community.llms import HuggingFaceEndpoint llm = HuggingFaceEndpoint( endpoint_url='http://localhost:8080', server_kwargs={ "headers": {"Content-Type": "application/json"} } ) resp = llm.invoke("Tell me a joke") print(resp) ``` Also tested against HF Endpoints ```python from langchain_community.llms import HuggingFaceEndpoint huggingfacehub_api_token = "hf_xyz" repo_id = "mistralai/Mistral-7B-Instruct-v0.2" llm = HuggingFaceEndpoint( huggingfacehub_api_token=huggingfacehub_api_token, repo_id=repo_id, ) resp = llm.invoke("Tell me a joke") print(resp) ``` 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>	2 months ago
Anush	d09dda5a08	qdrant: Bump patch version (#24168) ... # Description To release a new version of `langchain-qdrant` after #24165 and #24166.	2 months ago
Bagatur	12950cc602	standard-tests[patch]: improve runnable tool description (#24210)	2 months ago
Erick Friis	e8ee781a42	ibm: move to external repo (#24208)	2 months ago
Bagatur	02e71cebed	together[patch]: Release 0.1.4 (#24205)	2 months ago
Bagatur	259d4d2029	anthropic[patch]: Release 0.1.20 (#24204)	2 months ago
Bagatur	3aed74a6fc	fireworks[patch]: Release 0.1.5 (#24203)	2 months ago
Bagatur	13b0d7ec8f	openai[patch]: Release 0.1.16 (#24202)	2 months ago
Bagatur	71cd6e6feb	groq[patch]: Release 0.1.7 (#24201)	2 months ago
Bagatur	99054e19eb	mistralai[patch]: Release 0.1.10 (#24200)	2 months ago
Bagatur	7a1321e2f9	ibm[patch]: Release 0.1.10 (#24199)	2 months ago
Bagatur	cb5031f22f	integrations[patch]: require core >=0.2.17 (#24207)	2 months ago
Nithish Raghunandanan	f1618ec540	couchbase: Add standard and semantic caches (#23607) ... Thank you for contributing to LangChain! **Description:** Add support for caching (standard + semantic) LLM responses using Couchbase - [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, ccurme, vbarda, hwchase17. --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Eugene Yurtsev	8d82a0d483	core[patch]: Mark GraphVectorStore as beta (#24195) ... * This PR marks graph vectorstore as beta	2 months ago
Bagatur	0a1e475a30	core[patch]: Release 0.2.17 (#24189)	2 months ago
Bagatur	6166ea67a8	core[minor]: rename ToolMessage.raw_output -> artifact (#24185)	2 months ago
Jean Nshuti	d77d9bfc00	community[patch]: update typo document content returned from semanticscholar (#24175) ... Update "astract" -> abstract	2 months ago
Leonid Ganeline	aa3e3cfa40	core[patch]: docstrings `runnables` update (#24161) ... Added missed docstrings. Formatted docstrings to the consistent form.	2 months ago
Tomaz Bratanic	d3a2b9fae0	Fix neo4j type error on missing constraint information (#24177) ... If you use `refresh_schema=False`, then the metadata constraint doesn't exist. ATM, we used default `None` in the constraint check, but then `any` fails because it can't iterate over None value	2 months ago
Anush	7014d07cab	qdrant: new Qdrant implementation (#24164)	2 months ago
Xander Dumaine	35784d1c33	langchain[minor]: add document_variable_name to create_stuff_documents_chain (#24083) ... - **Description:** `StuffDocumentsChain` uses `LLMChain` which is deprecated by langchain runnables. `create_stuff_documents_chain` is the replacement, but needs support for `document_variable_name` to allow multiple uses of the chain within a longer chain. - **Issue:** none - **Dependencies:** none	2 months ago
Eugene Yurtsev	8858846607	milvus[patch]: Fix Milvus vectorstore for newer versions of langchain-core (#24152) ... Fix for: https://github.com/langchain-ai/langchain/issues/24116 This keeps the old behavior of add_documents and add_texts	2 months ago
thedavgar	ffe6ca986e	community: Fix Bug in Azure Search Vectorstore search asyncronously (#24081) ... Thank you for contributing to LangChain! **Description**: This PR fixes a bug described in the issue in #24064, when using the AzureSearch Vectorstore with the asyncronous methods to do search which is also the method used for the retriever. The proposed change includes just change the access of the embedding as optional because is it not used anywhere to retrieve documents. Actually, the syncronous methods of retrieval do not use the embedding neither. With this PR the code given by the user in the issue works. ```python vectorstore = AzureSearch( azure_search_endpoint=os.getenv("AI_SEARCH_ENDPOINT_SECRET"), azure_search_key=os.getenv("AI_SEARCH_API_KEY"), index_name=os.getenv("AI_SEARCH_INDEX_NAME_SECRET"), fields=fields, embedding_function=encoder, ) retriever = vectorstore.as_retriever(search_type="hybrid", k=2) await vectorstore.avector_search("what is the capital of France") await retriever.ainvoke("what is the capital of France") ``` **Issue**: The Azure Search Vectorstore is not working when searching for documents with asyncronous methods, as described in issue #24064 **Dependencies**: There are no extra dependencies required for this change. --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Anush	7790d67f94	qdrant: New sparse embeddings provider interface - PART 1 (#24015) ... ## Description This PR introduces a new sparse embedding provider interface to work with the new Qdrant implementation that will follow this PR. Additionally, an implementation of this interface is provided with https://github.com/qdrant/fastembed. This PR will be followed by https://github.com/Anush008/langchain/pull/3.	2 months ago
Erick Friis	1132fb801b	core: release 0.2.16 (#24159)	2 months ago
Nuno Campos	1d37aa8403	core: Remove extra newline (#24157)	2 months ago
ccurme	cb95198398	standard-tests[patch]: add tests for runnables as tools and streaming usage metadata (#24153)	2 months ago
Bagatur	8d100c58de	core[patch]: Tool accept RunnableConfig (#24143) ... Relies on #24038 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	5fd1e67808	core[minor], integrations...[patch]: Support ToolCall as Tool input and ToolMessage as Tool output (#24038) ... Changes: - ToolCall, InvalidToolCall and ToolCallChunk can all accept a "type" parameter now - LLM integration packages add "type" to all the above - Tool supports ToolCall inputs that have "type" specified - Tool outputs ToolMessage when a ToolCall is passed as input - Tools can separately specify ToolMessage.content and ToolMessage.raw_output - Tools emit events for validation errors (using on_tool_error and on_tool_end) Example: ```python @tool("structured_api", response_format="content_and_raw_output") def _mock_structured_tool_with_raw_output( arg1: int, arg2: bool, arg3: Optional[dict] = None ) -> Tuple[str, dict]: """A Structured Tool""" return f"{arg1} {arg2}", {"arg1": arg1, "arg2": arg2, "arg3": arg3} def test_tool_call_input_tool_message_with_raw_output() -> None: tool_call: Dict = { "name": "structured_api", "args": {"arg1": 1, "arg2": True, "arg3": {"img": "base64string..."}}, "id": "123", "type": "tool_call", } expected = ToolMessage("1 True", raw_output=tool_call["args"], tool_call_id="123") tool = _mock_structured_tool_with_raw_output actual = tool.invoke(tool_call) assert actual == expected tool_call.pop("type") with pytest.raises(ValidationError): tool.invoke(tool_call) actual_content = tool.invoke(tool_call["args"]) assert actual_content == expected.content ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	eeb996034b	core[patch]: Release 0.2.15 (#24149)	2 months ago
Nuno Campos	03fba07d15	core[patch]: Update styles for mermaid graphs (#24147)	2 months ago
ccurme	8ee8ca7c83	core[patch]: propagate `parse_docstring` to tool decorator (#24123) ... Disabled by default. ```python from langchain_core.tools import tool @tool(parse_docstring=True) def foo(bar: str, baz: int) -> str: """The foo. Args: bar: this is the bar baz: this is the baz """ return bar foo.args_schema.schema() ``` ```json { "title": "fooSchema", "description": "The foo.", "type": "object", "properties": { "bar": { "title": "Bar", "description": "this is the bar", "type": "string" }, "baz": { "title": "Baz", "description": "this is the baz", "type": "integer" } }, "required": [ "bar", "baz" ] } ```	2 months ago
Jacob Lee	f1f1f75782	community[patch]: Make AzureML endpoint return AI messages for type assistant (#24085)	2 months ago
Eugene Yurtsev	4ba14adec6	core[patch]: Clean up indexing test code (#24139) ... Refactor the code to use the existing InMemroyVectorStore. This change is needed for another PR that moves some of the imports around (and messes up the mock.patch in this file)	2 months ago
Atul R	457677c1b7	community: Fixes use of ImagePromptTemplate with Ollama (#24140) ... Description: ImagePromptTemplate for Multimodal llms like llava when using Ollama Twitter handle: https://x.com/a7ulr Details: When using llava models / any ollama multimodal llms and passing images in the prompt as urls, langchain breaks with this error. ```python image_url_components = image_url.split(",") ^^^^^^^^^^^^^^^^^^^^ AttributeError: 'dict' object has no attribute 'split' ``` From the looks of it, there was bug where the condition did check for a `url` field in the variable but missed to actually assign it. This PR fixes ImagePromptTemplate for Multimodal llms like llava when using Ollama specifically. @hwchase17	2 months ago
Matt	8327925ab7	community:support additional Azure Search Options (#24134) ... - **Description:** Support additional kwargs options for the Azure Search client (Described here https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md#configurations) - **Issue:** N/A - **Dependencies:** No additional Dependencies ---------	2 months ago
ccurme	122e80e04d	core[patch]: add versionadded to `as_tool` (#24138)	2 months ago
Erick Friis	c4417ea93c	core: release 0.2.14, remove poetry 1.7 incompatible flag from root (#24137)	2 months ago
Isaac Francisco	7a62d3dbd6	standard-tests[patch]: test that bind_tools can accept regular python function (#24135)	2 months ago
Nuno Campos	2428984205	core: Add metadata to graph json repr (#24131) ... 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
Harley Gross	ea3cd1ebba	community[minor]: added support for C in RecursiveCharacterTextSplitter (#24091) ... Description: Added support for C in RecursiveCharacterTextSplitter by reusing the separators for C++	2 months ago
Nuno Campos	3e454d7568	core: fix docstring (#24129)	2 months ago
Eugene Yurtsev	08638ccc88	community[patch]: QianfanLLMEndpoint fix type information for the keys (#24128) ... Fix for issue: https://github.com/langchain-ai/langchain/issues/24126	2 months ago
Nuno Campos	ee3fe20af4	core: mermaid: Render metadata key-value pairs when drawing mermaid graph (#24103) ... - if node is runnable binding with metadata attached	2 months ago
Eugene Yurtsev	1e7d8ba9a6	ci[patch]: Update community linter to provide a helpful error message (#24127) ... Update community import linter to explain what's wrong	2 months ago
maang-h	16e178a8c2	docs: Add MiniMaxChat docstrings (#24026) ... - **Description:** Add MiniMaxChat rich docstrings. - **Issue:** the issue #22296	2 months ago
Christophe Bornet	5fc5ef2b52	community[minor]: Add graph store extractors (#24065) ... This adds an extractor interface and an implementation for HTML pages. Extractors are used to create GraphVectorStore Links on loaded content. **Twitter handle:** cbornet_	2 months ago
maang-h	9bcf8f867d	docs: Add SQLChatMessageHistory docstring (#23978) ... - **Description:** Add SQLChatMessageHistory docstring. - **Issue:** the issue #21983 Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Rafael Pereira	092e9ee0e6	community[minor]: Neo4j Fixed similarity docs (#23913) ... **Description:** There was missing some documentation regarding the `filter` and `params` attributes in similarity search methods. --------- Co-authored-by: rpereira <rafael.pereira@criticalsoftware.com>	2 months ago
Eugene Yurtsev	dc131ac42a	core[minor]: Add dispatching for custom events (#24080) ... This PR allows dispatching adhoc events for a given run. # Context This PR allows users to send arbitrary data to the callback system and to the astream events API from within a given runnable. This can be extremely useful to surface custom information to end users about progress etc. Integration with langsmith tracer will be done separately since the data cannot be currently visualized. It'll be accommodated using the events attribute of the Run # Examples with astream events ```python from langchain_core.callbacks import adispatch_custom_event from langchain_core.tools import tool @tool async def foo(x: int) -> int: """Foo""" await adispatch_custom_event("event1", {"x": x}) await adispatch_custom_event("event2", {"x": x}) return x + 1 async for event in foo.astream_events({'x': 1}, version='v2'): print(event) ``` ```python {'event': 'on_tool_start', 'data': {'input': {'x': 1}}, 'name': 'foo', 'tags': [], 'run_id': 'fd6fb7a7-dd37-4191-962c-e43e245909f6', 'metadata': {}, 'parent_ids': []} {'event': 'on_custom_event', 'run_id': 'fd6fb7a7-dd37-4191-962c-e43e245909f6', 'name': 'event1', 'tags': [], 'metadata': {}, 'data': {'x': 1}, 'parent_ids': []} {'event': 'on_custom_event', 'run_id': 'fd6fb7a7-dd37-4191-962c-e43e245909f6', 'name': 'event2', 'tags': [], 'metadata': {}, 'data': {'x': 1}, 'parent_ids': []} {'event': 'on_tool_end', 'data': {'output': 2}, 'run_id': 'fd6fb7a7-dd37-4191-962c-e43e245909f6', 'name': 'foo', 'tags': [], 'metadata': {}, 'parent_ids': []} ``` ```python from langchain_core.callbacks import adispatch_custom_event from langchain_core.runnables import RunnableLambda @RunnableLambda async def foo(x: int) -> int: """Foo""" await adispatch_custom_event("event1", {"x": x}) await adispatch_custom_event("event2", {"x": x}) return x + 1 async for event in foo.astream_events(1, version='v2'): print(event) ``` ```python {'event': 'on_chain_start', 'data': {'input': 1}, 'name': 'foo', 'tags': [], 'run_id': 'ce2beef2-8608-49ea-8eba-537bdaafb8ec', 'metadata': {}, 'parent_ids': []} {'event': 'on_custom_event', 'run_id': 'ce2beef2-8608-49ea-8eba-537bdaafb8ec', 'name': 'event1', 'tags': [], 'metadata': {}, 'data': {'x': 1}, 'parent_ids': []} {'event': 'on_custom_event', 'run_id': 'ce2beef2-8608-49ea-8eba-537bdaafb8ec', 'name': 'event2', 'tags': [], 'metadata': {}, 'data': {'x': 1}, 'parent_ids': []} {'event': 'on_chain_stream', 'run_id': 'ce2beef2-8608-49ea-8eba-537bdaafb8ec', 'name': 'foo', 'tags': [], 'metadata': {}, 'data': {'chunk': 2}, 'parent_ids': []} {'event': 'on_chain_end', 'data': {'output': 2}, 'run_id': 'ce2beef2-8608-49ea-8eba-537bdaafb8ec', 'name': 'foo', 'tags': [], 'metadata': {}, 'parent_ids': []} ``` # Examples with handlers This is copy pasted from unit tests ```python class CustomCallbackManager(BaseCallbackHandler): def __init__(self) -> None: self.events: List[Any] = [] def on_custom_event( self, name: str, data: Any, *, run_id: UUID, tags: Optional[List[str]] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs: Any, ) -> None: assert kwargs == {} self.events.append( ( name, data, run_id, tags, metadata, ) ) callback = CustomCallbackManager() run_id = uuid.UUID(int=7) @RunnableLambda def foo(x: int, config: RunnableConfig) -> int: dispatch_custom_event("event1", {"x": x}) dispatch_custom_event("event2", {"x": x}, config=config) return x foo.invoke(1, {"callbacks": [callback], "run_id": run_id}) assert callback.events == [ ("event1", {"x": 1}, UUID("00000000-0000-0000-0000-000000000007"), [], {}), ("event2", {"x": 1}, UUID("00000000-0000-0000-0000-000000000007"), [], {}), ] ```	3 months ago
Erick Friis	71c2221f8c	openai: release 0.1.15 (#24097)	3 months ago
Erick Friis	6ea6f9f7bc	core: release 0.2.13 (#24096)	3 months ago
ccurme	975b6129f6	core[patch]: support conversion of runnables to tools (#23992) ... Open to other thoughts on UX. string input: ```python as_tool = retriever.as_tool() as_tool.invoke("cat") # [Document(...), ...] ``` typed dict input: ```python class Args(TypedDict): key: int def f(x: Args) -> str: return str(x["key"] * 2) as_tool = RunnableLambda(f).as_tool( name="my tool", description="description", # name, description are inferred if not supplied ) as_tool.invoke({"key": 3}) # "6" ``` for untyped dict input, allow specification of parameters + types ```python def g(x: Dict[str, Any]) -> str: return str(x["key"] * 2) as_tool = RunnableLambda(g).as_tool(arg_types={"key": int}) result = as_tool.invoke({"key": 3}) # "6" ``` Passing the `arg_types` is slightly awkward but necessary to ensure tool calls populate parameters correctly: ```python from typing import Any, Dict from langchain_core.runnables import RunnableLambda from langchain_openai import ChatOpenAI def f(x: Dict[str, Any]) -> str: return str(x["key"] * 2) runnable = RunnableLambda(f) as_tool = runnable.as_tool(arg_types={"key": int}) llm = ChatOpenAI().bind_tools([as_tool]) result = llm.invoke("Use the tool on 3.") tool_call = result.tool_calls[0] args = tool_call["args"] assert args == {"key": 3} as_tool.run(args) ``` Contrived (?) example with langgraph agent as a tool: ```python from typing import List, Literal from typing_extensions import TypedDict from langchain_openai import ChatOpenAI from langgraph.prebuilt import create_react_agent llm = ChatOpenAI(temperature=0) def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 agent_1 = create_react_agent(llm, [magic_function]) class Message(TypedDict): role: Literal["human"] content: str agent_tool = agent_1.as_tool( arg_types={"messages": List[Message]}, name="Jeeves", description="Ask Jeeves.", ) agent_2 = create_react_agent(llm, [agent_tool]) ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Bagatur	6928f4c438	core[minor]: Add ToolMessage.raw_output (#23994) ... Decisions to discuss: 1. is a new attr needed or could additional_kwargs be used for this 2. is raw_output a good name for this attr 3. should raw_output default to {} or None 4. should raw_output be included in serialization 5. do we need to update repr/str to exclude raw_output	3 months ago
Eugene Yurtsev	c4e149d4f1	community[patch]: Add linter to catch @root_validator (#24070) ... - Add linter to prevent further usage of vanilla root validator - Udpate remaining root validators	3 months ago
ccurme	9c6efadec3	community[patch]: propagate cost information to OpenAI callback (#23996) ... This is enabled following https://github.com/langchain-ai/langchain/pull/22716.	3 months ago
William FH	1e1fd30def	[Core] Fix fstring in logger warning (#24043)	3 months ago
Ethan Yang	13855ef0c3	[HuggingFace Pipeline] add streaming support (#23852)	3 months ago
Nuno Campos	859e434932	core: Speed up json parse for large strings (#24036) ... for a large string: - old 4.657918874989264 - new 0.023724667000351474	3 months ago
Nuno Campos	160fc7f246	core: Move json parsing in base chat model / output parser to bg thread (#24031) ... - add version of AIMessageChunk.__add__ that can add many chunks, instead of only 2 - In agenerate_from_stream merge and parse chunks in bg thread - In output parse base classes do more work in bg threads where appropriate --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	3 months ago
Nuno Campos	73966e693c	openai: Create msg chunk in bg thread (#24032) ... 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.	3 months ago
Erick Friis	007c5a85d5	multiple: use modern installer in poetry (#23998)	3 months ago
Erick Friis	e80c150c44	community: release 0.2.7 (prev was langchain) (#23997)	3 months ago
Erick Friis	9f8fd08955	community: release 0.2.7 (#23993)	3 months ago
Erick Friis	bedd893cd1	core: release 0.2.12 (#23991)	3 months ago
Bagatur	1e957c0c23	docs: rm discord (#23985)	3 months ago
Eugene Yurtsev	f765e8fa9d	core[minor],community[patch],standard-tests[patch]: Move InMemoryImplementation to langchain-core (#23986) ... This PR moves the in memory implementation to langchain-core. * The implementation remains importable from langchain-community. * Supporting utilities are marked as private for now.	3 months ago
Eugene Yurtsev	aa8c9bb4a9	community[patch]: Add constraint for pdfminer.six to unbreak CI (#23988) ... Something changed in pdfminer six. This PR unreaks CI without fixing the underlying PDF parser.	3 months ago
Eugene Yurtsev	2c180d645e	core[minor],community[minor]: Upgrade all @root_validator() to @pre_init (#23841) ... This PR introduces a @pre_init decorator that's a @root_validator(pre=True) but with all the defaults populated!	3 months ago
Eugene Yurtsev	9787552b00	core[patch]: Use InMemoryChatMessageHistory in unit tests (#23916) ... Update unit test to use the existing implementation of chat message history	3 months ago
Rajendra Kadam	8b84457b17	community[minor]: Support PGVector in PebbloRetrievalQA (#23874) ... - **Description:** Support PGVector in PebbloRetrievalQA - Identity and Semantic Enforcement support for PGVector - Refactor Vectorstore validation and name check - Clear the overridden identity and semantic enforcement filters - **Issue:** NA - **Dependencies:** NA - **Tests**: NA(already added) - **Docs**: Updated - **Twitter handle:** [@Raj__725](https://twitter.com/Raj__725)	3 months ago
Eugene Yurtsev	e0186df56b	core[patch]: Clarify upsert response semantics (#23921)	3 months ago
Rajendra Kadam	ee8aa54f53	community[patch]: Fix source path mismatch in PebbloSafeLoader (#23857) ... **Description:** Fix for source path mismatch in PebbloSafeLoader. The fix involves storing the full path in the doc metadata in VectorDB **Issue:** NA, caught in internal testing **Dependencies:** NA **Add tests**: Updated tests	3 months ago
Eugene Yurtsev	5b7d5f7729	core[patch]: Add comment to clarify aadd_documents (#23920) ... Add comment to clarify how add documents works	3 months ago
Eugene Yurtsev	e0889384d9	standard-tests[minor]: add unit tests for testing get_by_ids, aget_by_ids, upsert, aupsert_by_ids (#23919) ... These standard unit tests provide standard tests for functionality introduced in these PRs: * https://github.com/langchain-ai/langchain/pull/23774 * https://github.com/langchain-ai/langchain/pull/23594	3 months ago
ccurme	74c7198906	core, anthropic[patch]: support streaming tool calls when function has no arguments (#23915) ... resolves https://github.com/langchain-ai/langchain/issues/23911 When an AIMessageChunk is instantiated, we attempt to parse tool calls off of the tool_call_chunks. Here we add a special-case to this parsing, where `""` will be parsed as `{}`. This is a reaction to how Anthropic streams tool calls in the case where a function has no arguments: ``` {'id': 'toolu_01J8CgKcuUVrMqfTQWPYh64r', 'input': {}, 'name': 'magic_function', 'type': 'tool_use', 'index': 1} {'partial_json': '', 'type': 'tool_use', 'index': 1} ``` The `partial_json` does not accumulate to a valid json string-- most other providers tend to emit `"{}"` in this case.	3 months ago
Mateusz Szewczyk	902b57d107	IBM: Added WatsonxChat passing params to invoke method (#23758) ... Thank you for contributing to LangChain! - [x] **PR title**: "IBM: Added WatsonxChat to chat models preview, update passing params to invoke method" - [x] **PR message**: - **Description:** Added WatsonxChat passing params to invoke method, added integration tests - **Dependencies:** `ibm_watsonx_ai` - [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/ --------- Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
ccurme	1f5a163f42	langchain[patch]: deprecate QAGenerationChain (#23730)	3 months ago
ccurme	25de47878b	langchain[patch]: deprecate AnalyzeDocumentChain (#23769)	3 months ago
Christophe Bornet	42d049f618	core[minor]: Add Graph Store component (#23092) ... This PR introduces a GraphStore component. GraphStore extends VectorStore with the concept of links between documents based on document metadata. This allows linking documents based on a variety of techniques, including common keywords, explicit links in the content, and other patterns. This works with existing Documents, so it’s easy to extend existing VectorStores to be used as GraphStores. The interface can be implemented for any Vector Store technology that supports metadata, not only graph DBs. When retrieving documents for a given query, the first level of search is done using classical similarity search. Next, links may be followed using various traversal strategies to get additional documents. This allows documents to be retrieved that aren’t directly similar to the query but contain relevant information. 2 retrieving methods are added to the VectorStore ones : * traversal_search which gets all linked documents up to a certain depth * mmr_traversal_search which selects linked documents using an MMR algorithm to have more diverse results. If a depth of retrieval of 0 is used, GraphStore is effectively a VectorStore. It enables an easy transition from a simple VectorStore to GraphStore by adding links between documents as a second step. An implementation for Apache Cassandra is also proposed. See https://github.com/datastax/ragstack-ai/blob/main/libs/knowledge-store/notebooks/astra_support.ipynb for a notebook explaining how to use GraphStore and that shows that it can answer correctly to questions that a simple VectorStore cannot. **Twitter handle:** _cbornet	3 months ago
Leonid Ganeline	77f5fc3d55	core: docstrings `load` (#23787) ... Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
Eugene Yurtsev	6f08e11d7c	core[minor]: add upsert, streaming_upsert, aupsert, astreaming_upsert methods to the VectorStore abstraction (#23774) ... This PR rolls out part of the new proposed interface for vectorstores (https://github.com/langchain-ai/langchain/pull/23544) to existing store implementations. The PR makes the following changes: 1. Adds standard upsert, streaming_upsert, aupsert, astreaming_upsert methods to the vectorstore. 2. Updates `add_texts` and `aadd_texts` to be non required with a default implementation that delegates to `upsert` and `aupsert` if those have been implemented. The original `add_texts` and `aadd_texts` methods are problematic as they spread object specific information across document and **kwargs. (e.g., ids are not a part of the document) 3. Adds a default implementation to `add_documents` and `aadd_documents` that delegates to `upsert` and `aupsert` respectively. 4. Adds standard unit tests to verify that a given vectorstore implements a correct read/write API. A downside of this implementation is that it creates `upsert` with a very similar signature to `add_documents`. The reason for introducing `upsert` is to: * Remove any ambiguities about what information is allowed in `kwargs`. Specifically kwargs should only be used for information common to all indexed data. (e.g., indexing timeout). *Allow inheriting from an anticipated generalized interface for indexing that will allow indexing `BaseMedia` (i.e., allow making a vectorstore for images/audio etc.) `add_documents` can be deprecated in the future in favor of `upsert` to make sure that users have a single correct way of indexing content. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
G Sreejith	3c752238c5	core[patch]: Fix typo in docstring (graphm -> graph) (#23910) ... Changes has been as per the request Replaced graphm with graph	3 months ago
Leonid Ganeline	12c92b6c19	core: docstrings `outputs` (#23889) ... Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
Leonid Ganeline	1eca98ec56	core: docstrings `prompts` (#23890) ... Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
Philippe PRADOS	289960bc60	community[patch]: Redis.delete should be a regular method not a static method (#23873) ... The `langchain_common.vectostore.Redis.delete()` must not be a `@staticmethod`. With the current implementation, it's not possible to have multiple instances of Redis vectorstore because all versions must share the `REDIS_URL`. It's not conform with the base class.	3 months ago
Mohammad Mohtashim	2274d2b966	core[patch]: Accounting for Optional Input Variables in BasePromptTemplate (#22851) ... **Description**: After reviewing the prompts API, it is clear that the only way a user can explicitly mark an input variable as optional is through the `MessagePlaceholder.optional` attribute. Otherwise, the user must explicitly pass in the `input_variables` expected to be used in the `BasePromptTemplate`, which will be validated upon execution. Therefore, to semantically handle a `MessagePlaceholder` `variable_name` as optional, we will treat the `variable_name` of `MessagePlaceholder` as a `partial_variable` if it has been marked as optional. This approach aligns with how the `variable_name` of `MessagePlaceholder` is already handled [here](https://github.com/keenborder786/langchain/blob/optional_input_variables/libs/core/langchain_core/prompts/chat.py#L991). Additionally, an attribute `optional_variable` has been added to `BasePromptTemplate`, and the `variable_name` of `MessagePlaceholder` is also made part of `optional_variable` when marked as optional. Moreover, the `get_input_schema` method has been updated for `BasePromptTemplate` to differentiate between optional and non-optional variables. **Issue**: #22832, #21425 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Klaudia Lemiec	a2082bc1f8	docs: Arxiv docs update (#23871) ... - [X] **PR title** - [X] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Update of docstrings and docpages - **Issue:** [22866](https://github.com/langchain-ai/langchain/issues/22866) - [X] **Add tests and docs** - [X] **Lint and test**	3 months ago
André Quintino	99b1467b63	community: add support for 'cloud' parameter in JiraAPIWrapper (#23057) ... - **Description:** Enhance JiraAPIWrapper to accept the 'cloud' parameter through an environment variable. This update allows more flexibility in configuring the environment for the Jira API. - **Twitter handle:** Andre_Q_Pereira --------- Co-authored-by: André Quintino <andre.quintino@tui.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
wenngong	b1e90b3075	community: add model_name param valid for GPT4AllEmbeddings (#23867) ... Description: add model_name param valid for GPT4AllEmbeddings Issue: #23863 #22819 --------- Co-authored-by: gongwn1 <gongwn1@lenovo.com>	3 months ago
volodymyr-memsql	a4eb6d0fb1	community: add SingleStoreDB semantic cache (#23218) ... This PR adds a `SingleStoreDBSemanticCache` class that implements a cache based on SingleStoreDB vector store, integration tests, and a notebook example. Additionally, this PR contains minor changes to SingleStoreDB vector store: - change add texts/documents methods to return a list of inserted ids - implement delete(ids) method to delete documents by list of ids - added drop() method to drop a correspondent database table - updated integration tests to use and check functionality implemented above CC: @baskaryan, @hwchase17 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>	3 months ago
Igor Drozdov	bb597b1286	feat(community): add bind_tools function for ChatLiteLLM (#23823) ... It's a follow-up to https://github.com/langchain-ai/langchain/pull/23765 Now the tools can be bound by calling `bind_tools` ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.utils.function_calling import convert_to_openai_tool from langchain_community.chat_models import ChatLiteLLM class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") prompt = "Which city is hotter today and which is bigger: LA or NY?" # tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)] tools = [GetWeather, GetPopulation] llm = ChatLiteLLM(model="claude-3-sonnet-20240229").bind_tools(tools) ai_msg = llm.invoke(prompt) print(ai_msg.tool_calls) ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: Igor Drozdov <idrozdov@gitlab.com>	3 months ago
Jiejun Tan	2be66a38d8	huggingface: Fix huggingface tei support (#22653) ... Update former pull request: https://github.com/langchain-ai/langchain/pull/22595. Modified `libs/partners/huggingface/langchain_huggingface/embeddings/huggingface_endpoint.py`, where the API call function does not match current [Text Embeddings Inference API](https://huggingface.github.io/text-embeddings-inference/#/Text%20Embeddings%20Inference/embed). One example is: ```json { "inputs": "string", "normalize": true, "truncate": false } ``` Parameters in `_model_kwargs` are not passed properly in the latest version. By the way, the issue *[why cause 413? #50](https://github.com/huggingface/text-embeddings-inference/issues/50)* might be solved.	3 months ago
Eugene Yurtsev	9ccc4b1616	core[patch]: Fix logic in BaseChatModel that processes the llm string that is used as a key for caching chat models responses (#23842) ... This PR should fix the following issue: https://github.com/langchain-ai/langchain/issues/23824 Introduced as part of this PR: https://github.com/langchain-ai/langchain/pull/23416 I am unable to reproduce the issue locally though it's clear that we're getting a `serialized` object which is not a dictionary somehow. The test below passes for me prior to the PR as well ```python def test_cache_with_sqllite() -> None: from langchain_community.cache import SQLiteCache from langchain_core.globals import set_llm_cache cache = SQLiteCache(database_path=".langchain.db") set_llm_cache(cache) chat_model = FakeListChatModel(responses=["hello", "goodbye"], cache=True) assert chat_model.invoke("How are you?").content == "hello" assert chat_model.invoke("How are you?").content == "hello" ```	3 months ago
Vadym Barda	9bb623381b	core[minor]: update conversion utils to handle RemoveMessage (#23840)	3 months ago
Eugene Yurtsev	4ab78572e7	core[patch]: Speed up unit tests for imports (#23837) ... Speed up unit tests for imports	3 months ago
Nico Puhlmann	4a15fce516	langchain: update declarative_base import (#20056) ... **Description**: The ``declarative_base()`` function is now available as sqlalchemy.orm.declarative_base(). (depreca ted since: 2.0) (Background on SQLAlchemy 2.0 at: https://sqlalche.me/e/b8d9) --------- Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	3 months ago
Théo Deschamps	39b19cf764	core[patch]: extract input variables for `path` and `detail` keys in order to format an `ImagePromptTemplate` (#22613) ... - Description: Add support for `path` and `detail` keys in `ImagePromptTemplate`. Previously, only variables associated with the `url` key were considered. This PR allows for the inclusion of a local image path and a detail parameter as input to the format method. - Issues: - fixes #20820 - related to #22024 - Dependencies: None - Twitter handle: @DeschampsTho5 --------- Co-authored-by: tdeschamps <tdeschamps@kameleoon.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Bagatur	a4798802ef	cli[patch]: ruff 0.5 (#23833)	3 months ago
Leonid Ganeline	55f6f91f17	core[patch]: docstrings `output_parsers` (#23825) ... Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
Philippe PRADOS	26cee2e878	partners[patch]: MongoDB vectorstore to return and accept string IDs (#23818) ... The mongdb have some errors. - `add_texts() -> List` returns a list of `ObjectId`, and not a list of string - `delete()` with `id` never remove chunks. --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	3 months ago
Ikko Eltociear Ashimine	75734fbcf1	community: fix typo in unit tests for test_zenguard.py (#23819) ... enviroment -> environment - [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"	3 months ago
Bagatur	a0c2281540	infra: update mypy 1.10, ruff 0.5 (#23721) ... ```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l): path, line_no, error_type = re.match( "^(.*)\:(\d+)\: error:.*\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```	3 months ago
William FH	6cd56821dc	[Core] Unify function schema parsing (#23370) ... Use pydantic to infer nested schemas and all that fun. Include bagatur's convenient docstring parser Include annotation support Previously we didn't adequately support many typehints in the bind_tools() method on raw functions (like optionals/unions, nested types, etc.)	3 months ago
Oguz Vuruskaner	2a2c0d1a94	community[deepinfra]: fix tool call parsing. (#23162) ... This PR includes fix for DeepInfra tool call parsing.	3 months ago
maang-h	525109e506	feat: Implement ChatBaichuan asynchronous interface (#23589) ... - **Description:** Add interface to `ChatBaichuan` to support asynchronous requests - `_agenerate` method - `_astream` method --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Leonid Ganeline	716a316654	core: docstrings `indexing` (#23785) ... Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
Leonid Ganeline	30fdc2dbe7	core: docstrings `messages` (#23788) ... Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
ccurme	54e730f6e4	fireworks[patch]: read from tool calls attribute (#23820)	3 months ago
Bagatur	ebb404527f	anthropic[patch]: Release 0.1.19 (#23783)	3 months ago
Bagatur	6168c846b2	openai[patch]: Release 0.1.14 (#23782)	3 months ago
Bagatur	cb9812593f	openai[patch]: expose model request payload (#23287) ... 	3 months ago
Bagatur	ed200bf2c4	anthropic[patch]: expose payload (#23291) ... 	3 months ago
Bagatur	7a3d8e5a99	core[patch]: Release 0.2.11 (#23780)	3 months ago
Bagatur	d677dadf5f	core[patch]: mark RemoveMessage beta (#23656)	3 months ago
ccurme	1d54ac93bb	ai21[patch]: release 0.1.7 (#23781)	3 months ago
Asaf Joseph Gardin	320dc31822	partners: AI21 Labs Jamba Streaming Support (#23538) ... Thank you for contributing to LangChain! - [x] **PR title**: "package: description" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Added support for streaming in AI21 Jamba Model - **Twitter handle:** https://github.com/AI21Labs - [x] **Add tests and docs**: If you're adding a new integration, please include - [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. --------- Co-authored-by: Asaf Gardin <asafg@ai21.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Qingchuan Hao	5cd4083457	community: make bing web search as the only option (#23523) ... This PR make bing web search as the option for BingSearchAPIWrapper to facilitate and simply the user interface on Langchain. This is a follow-up work of https://github.com/langchain-ai/langchain/pull/23306.	3 months ago
ccurme	7c1cddf1b7	anthropic[patch]: release 0.1.18 (#23778)	3 months ago
ccurme	c9dac59008	anthropic[patch]: fix model name in some integration tests (#23779)	3 months ago
Bagatur	7a6c06cadd	anthropic[patch]: tool output parser fix (#23647)	3 months ago
ccurme	46cbf0e4aa	anthropic[patch]: use core output parsers for structured output (#23776) ... Also add to standard tests for structured output.	3 months ago
kiarina	dc396835ed	langchain_anthropic: add stop_reason in ChatAnthropic stream result (#23689) ... `ChatAnthropic` can get `stop_reason` from the resulting `AIMessage` in `invoke` and `ainvoke`, but not in `stream` and `astream`. This is a different behavior from `ChatOpenAI`. It is possible to get `stop_reason` from `stream` as well, since it is needed to determine the next action after the LLM call. This would be easier to handle in situations where only `stop_reason` is needed. - Issue: NA - Dependencies: NA - Twitter handle: https://x.com/kiarina37	3 months ago
maang-h	e4e28a6ff5	community[patch]: Fix MiniMaxChat validate_environment error (#23770) ... - **Description:** Fix some issues in MiniMaxChat - Fix `minimax_api_host` not in `values` error - Remove `minimax_group_id` from reading environment variables, the `minimax_group_id` no longer use in MiniMaxChat - Invoke callback prior to yielding token, the issus #16913	3 months ago
SN	acc457f645	core[patch]: fix nested sections for mustache templating (#23747) ... The prompt template variable detection only worked for singly-nested sections because we just kept track of whether we were in a section and then set that to false as soon as we encountered an end block. i.e. the following: ``` {{#outerSection}} {{variableThatShouldntShowUp}} {{#nestedSection}} {{nestedVal}} {{/nestedSection}} {{anotherVariableThatShouldntShowUp}} {{/outerSection}} ``` Would yield `['outerSection', 'anotherVariableThatShouldntShowUp']` as input_variables (whereas it should just yield `['outerSection']`). This fixes that by keeping track of the current depth and using a stack.	3 months ago
Eugene Yurtsev	46ff0f7a3c	community[patch]: Update @root_validators to use explicit pre=True or pre=False (#23737)	3 months ago
Igor Drozdov	b664dbcc36	feat(community): add support for tool_calls response (#23765) ... When `model_kwargs={"tools": tools}` are passed to `ChatLiteLLM`, they are executed, but the response is not recognized correctly Let's add `tool_calls` to the `additional_kwargs` Thank you for contributing to LangChain! ## ChatAnthropic I used the following example to verify the output of llm with tools: ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_anthropic import ChatAnthropic class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") llm = ChatAnthropic(model="claude-3-sonnet-20240229") llm_with_tools = llm.bind_tools([GetWeather, GetPopulation]) ai_msg = llm_with_tools.invoke("Which city is hotter today and which is bigger: LA or NY?") print(ai_msg.tool_calls) ``` I get the following response: ```json [{'name': 'GetWeather', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_01UfDA89knrhw3vFV9X47neT'}, {'name': 'GetWeather', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01NrYVRYae7m7z7tBgyPb3Gd'}, {'name': 'GetPopulation', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_01EPFEpDgzL6vV2dTpD9SVP5'}, {'name': 'GetPopulation', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01B5J6tPJXgwwfhQX9BHP2dt'}] ``` ## LiteLLM Based on https://litellm.vercel.app/docs/completion/function_call ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.utils.function_calling import convert_to_openai_tool import litellm class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") prompt = "Which city is hotter today and which is bigger: LA or NY?" tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)] response = litellm.completion(model="claude-3-sonnet-20240229", messages=[{'role': 'user', 'content': prompt}], tools=tools) print(response.choices[0].message.tool_calls) ``` ```python [ChatCompletionMessageToolCall(function=Function(arguments='{"location": "Los Angeles, CA"}', name='GetWeather'), id='toolu_01HeDWV5vP7BDFfytH5FJsja', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "New York, NY"}', name='GetWeather'), id='toolu_01EiLesUSEr3YK1DaE2jxsQv', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "Los Angeles, CA"}', name='GetPopulation'), id='toolu_01Xz26zvkBDRxEUEWm9pX6xa', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "New York, NY"}', name='GetPopulation'), id='toolu_01SDqKnsLjvUXuBsgAZdEEpp', type='function')] ``` ## ChatLiteLLM When I try the following ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.utils.function_calling import convert_to_openai_tool from langchain_community.chat_models import ChatLiteLLM class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") prompt = "Which city is hotter today and which is bigger: LA or NY?" tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)] llm = ChatLiteLLM(model="claude-3-sonnet-20240229", model_kwargs={"tools": tools}) ai_msg = llm.invoke(prompt) print(ai_msg) print(ai_msg.tool_calls) ``` ```python content="Okay, let's find out the current weather and populations for Los Angeles and New York City:" response_metadata={'token_usage': Usage(prompt_tokens=329, completion_tokens=193, total_tokens=522), 'model': 'claude-3-sonnet-20240229', 'finish_reason': 'tool_calls'} id='run-748b7a84-84f4-497e-bba1-320bd4823937-0' [] ``` --- When I apply the changes of this PR, the output is ```json [{'name': 'GetWeather', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_017D2tGjiaiakB1HadsEFZ4e'}, {'name': 'GetWeather', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01WrDpJfVqLkPejWzonPCbLW'}, {'name': 'GetPopulation', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_016UKyYrVAV9Pz99iZGgGU7V'}, {'name': 'GetPopulation', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01Sgv1imExFX1oiR1Cw88zKy'}] ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: Igor Drozdov <idrozdov@gitlab.com>	3 months ago
Eugene Yurtsev	338cef35b4	community[patch]: update @root_validator in utilities namespace (#23768) ... Update all utilities to use `pre=True` or `pre=False` https://github.com/langchain-ai/langchain/issues/22819	3 months ago