230 Commits (c816d036998ad4a1970c9d90698516e1fbf6812b)

Author	SHA1	Message	Date
Eugene Yurtsev	4b3dd34544	core[patch]: Pass sync run manager for sync stream fallback in astream (#19280) ... This PR patches the fallback in chat models and language models to pass in the appropriate version of the run manager (sync vs. async)	6 months ago
Al-Ekram Elahee Hridoy	50f93d86ec	core[minor]: Enhance cache flexibility in BaseChatModel (#17386) ... - **Description:** Enhanced the `BaseChatModel` to support an `Optional[Union[bool, BaseCache]]` type for the `cache` attribute, allowing for both boolean flags and custom cache implementations. Implemented logic within chat model methods to utilize the provided custom cache implementation effectively. This change aims to provide more flexibility in caching strategies for chat models. - **Issue:** Implements enhancement request #17242. - **Dependencies:** No additional dependencies required for this change. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Roshan Santhosh	7afecec280	core: update _rm_titles to account for title argument name bug (#19036) ... Issue : For functions which have an argument with the name 'title', the convert_pydantic_to_openai_function generates an incorrect output and omits the argument all together. This is because the _rm_titles function removes all instances of the the key 'title' from the output. Description : Updates the _rm_titles function to check the presence of the 'type' key as well before removing the 'title' key. As the title key that we wish to omit always has a type key along with it. Potential gap if there is a function defined which has both title and key as argument names, in which case this would fail. Maybe we could set a filter on the function argument names and reject those with keyword argument names. No dependencies. Passed all tests. - [x] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	6 months ago
Kangmoon Seo	07de4abe70	core: Fix Exception handling in XMLOutputParser (#19126) ... - **Description:** - Exception handling in `XMLOutputParser` 1. Add Exception handling at `root = ET.fromstring(text)` // raises `ET.ParseError` 2. Fix Exception class (commonly uses in `BaseOutputParser` class) - AS-IS: raise `ValueError`, `ET.ParserError` without handling ```python # langchain_core/output_parsers/xml.py text = text.strip() if (text.startswith("<") or text.startswith("\n<")) and ( text.endswith(">") or text.endswith(">\n") ): root = ET.fromstring(text) return self._root_to_dict(root) else: raise ValueError(f"Could not parse output: {text}") ``` - TO-BE: raise `OutputParserException` ```python # langchain_core/output_parsers/xml.py text = text.strip() if (text.startswith("<") or text.startswith("\n<")) and ( text.endswith(">") or text.endswith(">\n") ): try: root = ET.fromstring(text) return self._root_to_dict(root) except ET.ParseError: raise OutputParserException(f"Could not parse output: {text}") else: raise OutputParserException(f"Could not parse output: {text}") ``` - **Issue:** #19107 - **Dependencies:** None	6 months ago
William FH	780337488e	[Enhancement] Add support for directly providing a run_id (#18990) ... The root run id (~trace id's) is useful for assigning feedback, but the current recommended approach is to use callbacks to retrieve it, which has some drawbacks: 1. Doesn't work for streaming until after the first event 2. Doesn't let you call other endpoints with the same trace ID in parallel (since you have to wait until the call is completed/started to use This PR lets you provide = "run_id" in the runnable config. Couple considerations: 1. For batch calls, we split the trace up into separate trees (to permit better rendering). We keep the provided run ID for the first one and generate a unique one for other elements of the batch. 2. For nested calls, the provided ID is ONLY used on the top root/trace. ### Example Usage ``` chain.invoke("foo", {"run_id": uuid.uuid4()}) ```	6 months ago
Leonid Kuligin	366ba77459	core[minor]: moved fake llms and embeddings to core (#19226) ... - [ ] **PR title**: "core: moved fake llms and embeddings to core" - [ ] **PR message**: - **Description:** moved fake llms and embeddings to core"	6 months ago
Maxime Perrin	aa785fa6ec	core[minor]: allow LLMs async streaming to fallback on sync streaming (#18960) ... - **Description:** Handling fallbacks when calling async streaming for a LLM that doesn't support it. - **Issue:** #18920 - **Twitter handle:**@maximeperrin_ --------- Co-authored-by: Maxime Perrin <mperrin@doing.fr>	6 months ago
Eugene Yurtsev	06165efb5b	core[patch]: RunnablePassthrough transform to autoupgrade to AddableDict (#19051) ... Follow up on https://github.com/langchain-ai/langchain/pull/18743 which missed RunnablePassthrough Issues: https://github.com/langchain-ai/langchain/issues/18741 https://github.com/langchain-ai/langgraph/issues/136 https://github.com/langchain-ai/langserve/issues/504	6 months ago
Nuno Campos	751fb7de20	Add new beta StructuredPrompt (#19080) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	6 months ago
Nuno Campos	2b7c3c548d	core[minor]: Add Runnable.batch_as_completed (#17603) ... This PR adds `batch as completed` method to the standard Runnable interface. It takes in a list of inputs and yields the corresponding outputs as the inputs are completed.	6 months ago
Naman Jain	75122646b5	core[patch]: fixed circular dependency with json schema (#18657) ... **Description:** Circular dependencies when parsing references leading to `RecursionError: maximum recursion depth exceeded` issue. This PR address the issue by handling previously seen refs as in any typical DFS to avoid infinite depths. **Issue:** https://github.com/langchain-ai/langchain/issues/12163 **Twitter handle:** https://twitter.com/theBhulawat - [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: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	6 months ago
Bagatur	18de77cc8c	core[minor]: add streaming support to OAI tool parsers (#18940) ... Co-authored-by: Erick Friis <erick@langchain.dev>	6 months ago
Bagatur	e0e688a277	core[minor]: generation info on msg (#18592) ... related to #16403 #17188	6 months ago
Bagatur	19721246f5	core[patch]: support labeled json schema as tools (#18935)	6 months ago
Erick Friis	bbb609ac9d	core[patch]: fix arbitrary config keys (#18827)	7 months ago
Eugene Yurtsev	cdfb5b4ca1	core[minor]: Chat Models to fallback astream to fallback on sync stream if available (#18748) ... Allows all chat models that implement _stream, but not _astream to still have async streaming to work. Amongst other things this should resolve issues with streaming community model implementations through langserve since langserve is exclusively async.	7 months ago
Bagatur	3e29c04213	core[minor]: add BaseMessage.response_metadata (#18699)	7 months ago
Eugene Yurtsev	6caceb5473	core[patch]: Automatic upgrade to AddableDict in transform and atransform (#18743) ... Automatic upgrade to transform and atransform Closes: https://github.com/langchain-ai/langchain/issues/18741 https://github.com/langchain-ai/langgraph/issues/136 https://github.com/langchain-ai/langserve/issues/504	7 months ago
Eugene Yurtsev	ca299a8e08	Docs: Add custom parsing documentation and extending langchain (#18331) ... * Added extending langchain.mdx -- we'll need to add links as we add more custom documentation * Added partial documentation about parsers	7 months ago
Eugene Yurtsev	8c71f92cb2	core: upgrade mypy to recent mypy (#18753) ... Testing this works per package on CI	7 months ago
Christophe Bornet	4a7d73b39d	community: If load() has been overridden, use it in default lazy_load() (#18690)	7 months ago
Erick Friis	e1924b3e93	core[patch]: deprecate hwchase17/langchain-hub, address path traversal (#18600) ... Deprecates the old langchain-hub repository. Does *not* deprecate the new https://smith.langchain.com/hub @PinkDraconian has correctly raised that in the event someone is loading unsanitized user input into the `try_load_from_hub` function, they have the ability to load files from other locations in github than the hwchase17/langchain-hub repository. This PR adds some more path checking to that function and deprecates the functionality in favor of the hub built into LangSmith.	7 months ago
William De Vena	42341bc787	infra: fake model invoke callback prior to yielding token (#18286) ... ## PR title core[patch]: Invoke callback prior to yielding ## PR message Description: Invoke on_llm_new_token callback prior to yielding token in _stream and _astream methods. Issue: https://github.com/langchain-ai/langchain/issues/16913 Dependencies: None Twitter handle: None	7 months ago
William FH	fdab931fd3	[Core] Patch: rm dumpd of outputs from runnables/base (#18295) ... It obstructs evaluations when your return a pydantic object.	7 months ago
Nuno Campos	d9fd1194f5	Remove check preventing passing non-declared config keys (#18276) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	7 months ago
Harrison Chase	d7c607ca00	core[minor]: move document compressor base (#17910)	7 months ago
Bagatur	767523f364	core[patch], langchain[patch], templates: move openai functions parsers to core (#18060) ... 	7 months ago
Nuno Campos	b1d9ce541d	Add BaseMessage.id (#17835) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	7 months ago
Bagatur	b5f8cf9509	core[minor], openai[minor], langchain[patch]: BaseLanguageModel.with_structured_output #17302) ... ```python class Foo(BaseModel): bar: str structured_llm = ChatOpenAI().with_structured_output(Foo) ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
ccurme	1b0802babe	core: fix .bind when used with RunnableLambda async methods (#17739) ... **Description:** Here is a minimal example to illustrate behavior: ```python from langchain_core.runnables import RunnableLambda def my_function(*args, **kwargs): return 3 + kwargs.get("n", 0) runnable = RunnableLambda(my_function).bind(n=1) assert 4 == runnable.invoke({}) assert [4] == list(runnable.stream({})) assert 4 == await runnable.ainvoke({}) assert [4] == [item async for item in runnable.astream({})] ``` Here, `runnable.invoke({})` and `runnable.stream({})` work fine, but `runnable.ainvoke({})` raises ``` TypeError: RunnableLambda._ainvoke.<locals>.func() got an unexpected keyword argument 'n' ``` and similarly for `runnable.astream({})`: ``` TypeError: RunnableLambda._atransform.<locals>.func() got an unexpected keyword argument 'n' ``` Here we assume that this behavior is undesired and attempt to fix it. **Issue:** https://github.com/langchain-ai/langchain/issues/17241, https://github.com/langchain-ai/langchain/discussions/16446	7 months ago
Nuno Campos	223e5eff14	Add JSON representation of runnable graph to serialized representation (#17745) ... Sent to LangSmith Thank you for contributing to LangChain! Checklist: - [ ] PR title: Please title your PR "package: description", where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] PR message: **Delete this entire template message** and replace it with the following bulleted list - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [ ] Add tests and docs: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	7 months ago
Leonid Ganeline	1d2aa19aee	docs: Fix bug that caused the word "Beta" to appear twice in doc-strings (#17704) ... The current issue: Several beta descriptions in the API Reference are duplicated. For example: `[Beta] Get a context value.[Beta] Get a context value.` for the [ContextGet class](https://api.python.langchain.com/en/latest/core_api_reference.html#module-langchain_core.beta) description. NOTE: I've tested it only with a new ut! I cannot build API Reference locally :( This PR related to #17615	7 months ago
Leonid Ganeline	0835ebad70	docs: Fix bug that caused the word "Deprecated" to appear twice in doc-strings (#17615) ... The current issue: Most of the deprecation descriptions are duplicated. For example: `[Deprecated] Chat Agent.[Deprecated] Chat Agent.` for the [ChatAgent class](https://api.python.langchain.com/en/latest/langchain_api_reference.html#classes) description. NOTE: I've tested it only with new ut! I cannot build API Reference locally :(	7 months ago
Erick Friis	86d3e42853	core[minor]: add name to basemessage (#17539) ... Adds an optional name param to our base message to support passing names into LLMs. OpenAI supports having a name on anything except tool message now (system, ai, user/human).	7 months ago
JongRok BAEK	8d6cc90fc5	langchain.core : Use shallow copy for schema manipulation in JsonOutputParser.get_format_instructions (#17162) ... - **Description :** Fix: Use shallow copy for schema manipulation in get_format_instructions Prevents side effects on the original schema object by using a dictionary comprehension for a safer and more controlled manipulation of schema key-value pairs, enhancing code reliability. - **Issue:** #17161 - **Dependencies:** None - **Twitter handle:** None	7 months ago
Sergey Kozlov	db6f266d97	core: improve None value processing in merge_dicts() (#17462) ... - **Description:** fix `None` and `0` merging in `merge_dicts()`, add tests. ```python from langchain_core.utils._merge import merge_dicts assert merge_dicts({"a": None}, {"a": 0}) == {"a": 0} ``` --------- Co-authored-by: Sergey Kozlov <sergey.kozlov@ludditelabs.io>	7 months ago
James Braza	64938ae6f2	infra: unit testing `check_package_version` (#16825) ... Wrote a unit test for `check_package_version` in the core package. Note that this is a revival of https://github.com/langchain-ai/langchain/pull/16387 after GitHub incident (see https://github.com/langchain-ai/langchain/discussions/16796).	7 months ago
Eugene Yurtsev	93472ee9e6	core[patch]: Replace memory stream implementation used by LogStreamCallbackHandler (#17185) ... This PR replaces the memory stream implementation used by the LogStreamCallbackHandler. This implementation resolves an issue in which streamed logs and streamed events originating from sync code would arrive only after the entire sync code would finish execution (rather than arriving in real time as they're generated). One example is if trying to stream tokens from an llm within a tool. If the tool was an async tool, but the llm was invoked via stream (sync variant) rather than astream (async variant), then the tokens would fail to stream in real time and would all arrived bunched up after the tool invocation completed.	7 months ago
William FH	7c03cc5ed4	Support serialization when inputs/outputs contain generators (#17338) ... Pydantic's `dict()` function raises an error here if you pass in a generator. We have a more robust serialization function in lagnsmith that we will use instead.	8 months ago
Leonid Ganeline	ae66bcbc10	core[patch]: docstring update (#16813) ... - added missed docstrings - formated docstrings to consistent form	8 months ago
Eugene Yurtsev	e10030e241	core[patch]: Add unit test to cover different streaming format for json parsing (#17063) ... Add unit test to cover this issue: https://github.com/langchain-ai/langchain/issues/16423 which was resolved by this PR: https://github.com/langchain-ai/langchain/pull/16670/files --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Bagatur	852973d616	langchain[minor], core[minor]: update json, pydantic parser. add openai-json structured output runnable (#16914)	8 months ago
Eugene Yurtsev	fbab8baac5	core[patch]: Add astream events config test (#17055) ... Verify that astream events propagates config correctly --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
William FH	3d5e988c55	Add prompt metadata + tags (#17054)	8 months ago
Christophe Bornet	2ef69fe11b	Add async methods to BaseChatMessageHistory and BaseMemory (#16728) ... Adds: * async methods to BaseChatMessageHistory * async methods to ChatMessageHistory * async methods to BaseMemory * async methods to BaseChatMemory * async methods to ConversationBufferMemory * tests of ConversationBufferMemory's async methods **Twitter handle:** cbornet_	8 months ago
Erick Friis	06660bc78c	core[patch]: handle some optional cases in tools (#16954) ... primary problem in pydantic still exists, where `Optional[str]` gets turned to `string` in the jsonschema `.schema()` Also fixes the `SchemaSchema` naming issue --------- Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	8 months ago
Bagatur	c29e9b6412	core[patch]: fix chat prompt partial messages placeholder var (#16918)	8 months ago
hmasdev	cc17334473	core[minor]: add validation error handler to `BaseTool` (#14007) ... - **Description:** add a ValidationError handler as a field of [`BaseTool`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/tools.py#L101) and add unit tests for the code change. - **Issue:** #12721 #13662 - **Dependencies:** None - **Tag maintainer:** - **Twitter handle:** @hmdev3 - **NOTE:** - I'm wondering if the update of document is required. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	8 months ago
William FH	131c043864	Fix loading of ImagePromptTemplate (#16868) ... We didn't override the namespace of the ImagePromptTemplate, so it is listed as being in langchain.schema This updates the mapping to let the loader deserialize. Alternatively, we could make a slight breaking change and update the namespace of the ImagePromptTemplate since we haven't broadly publicized/documented it yet..	8 months ago
Eugene Yurtsev	2e5949b6f8	core(minor): Add bulk add messages to BaseChatMessageHistory interface (#15709) ... * Add bulk add_messages method to the interface. * Update documentation for add_ai_message and add_human_message to denote them as being marked for deprecation. We should stop using them as they create more incorrect (inefficient) ways of doing things	8 months ago
Yudhajit Sinha	1703fe2361	core[patch]: preserve inspect.iscoroutinefunction with @beta decorator (#16440) ... Adjusted deprecate decorator to make sure decorated async functions are still recognized as "coroutinefunction" by inspect Addresses #16402 <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Tze Min	6ef718c5f4	Core: fix Anthropic json issue in streaming (#16670) ... **Description:** fix ChatAnthropic json issue in streaming **Issue:** https://github.com/langchain-ai/langchain/issues/16423 **Dependencies:** n/a --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
William FH	38425c99d2	core[minor]: Image prompt template (#14263) ... Builds on Bagatur's (#13227). See unit test for example usage (below) ```python def test_chat_tmpl_from_messages_multipart_image() -> None: base64_image = "abcd123" other_base64_image = "abcd123" template = ChatPromptTemplate.from_messages( [ ("system", "You are an AI assistant named {name}."), ( "human", [ {"type": "text", "text": "What's in this image?"}, # OAI supports all these structures today { "type": "image_url", "image_url": "data:image/jpeg;base64,{my_image}", }, { "type": "image_url", "image_url": {"url": "data:image/jpeg;base64,{my_image}"}, }, {"type": "image_url", "image_url": "{my_other_image}"}, { "type": "image_url", "image_url": {"url": "{my_other_image}", "detail": "medium"}, }, { "type": "image_url", "image_url": {"url": "https://www.langchain.com/image.png"}, }, { "type": "image_url", "image_url": {"url": "data:image/jpeg;base64,foobar"}, }, ], ), ] ) messages = template.format_messages( name="R2D2", my_image=base64_image, my_other_image=other_base64_image ) expected = [ SystemMessage(content="You are an AI assistant named R2D2."), HumanMessage( content=[ {"type": "text", "text": "What's in this image?"}, { "type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}, }, { "type": "image_url", "image_url": { "url": f"data:image/jpeg;base64,{other_base64_image}" }, }, { "type": "image_url", "image_url": {"url": f"{other_base64_image}"}, }, { "type": "image_url", "image_url": { "url": f"{other_base64_image}", "detail": "medium", }, }, { "type": "image_url", "image_url": {"url": "https://www.langchain.com/image.png"}, }, { "type": "image_url", "image_url": {"url": "data:image/jpeg;base64,foobar"}, }, ] ), ] assert messages == expected ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Brace Sproul <braceasproul@gmail.com>	8 months ago
Nuno Campos	52ccae3fb1	Accept message-like things in Chat models, LLMs and MessagesPlaceholder (#16418)	8 months ago
Bagatur	ef42d9d559	core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485) ... … converters One way to convert anything to an OAI function: convert_to_openai_function One way to convert anything to an OAI tool: convert_to_openai_tool Corresponding bind functions on OAI models: bind_functions, bind_tools	8 months ago
James Braza	d511366dd3	infra: absolute `EXAMPLE_DIR` path in core unit tests (#16325) ... If you invoked testing from places besides `core/`, this `EXAMPLE_DIR` path won't work. This PR makes`EXAMPLE_DIR` robust against invocation location	8 months ago
Piotr Mardziel	1b9001db47	core[patch]: preserve inspect.iscoroutinefunction with @deprecated decorator (#16295) ... Adjusted `deprecate` decorator to make sure decorated async functions are still recognized as "coroutinefunction" by `inspect`. Before change, functions such as `LLMChain.acall` which are decorated as deprecated are not recognized as coroutine functions. After the change, they are recognized: ```python import inspect from langchain import LLMChain # Is false before change but true after. inspect.iscoroutinefunction(LLMChain.acall) ```	8 months ago
Bagatur	1e29b676d5	core[patch]: simple fallback streaming (#16055)	8 months ago
Eugene Yurtsev	4ef0ed4ddc	astream_events: Add version parameter while method is in beta (#16290) ... Add a version parameter while the method is in beta phase. The idea is to make it possible to minimize making breaking changes for users while we're iterating on schema. Once the API is stable we can assign a default version requirement.	8 months ago
Eugene Yurtsev	177af65dc4	core[minor]: RFC Add astream_events to Runnables (#16172) ... This PR adds `astream_events` method to Runnables to make it easier to stream data from arbitrary chains. * Streaming only works properly in async right now * One should use `astream()` with if mixing in imperative code as might be done with tool implementations * Astream_log has been modified with minimal additive changes, so no breaking changes are expected * Underlying callback code / tracing code should be refactored at some point to handle things more consistently (OK for now) - ~~[ ] verify event for on_retry~~ does not work until we implement streaming for retry - ~~[ ] Any rrenaming? Should we rename "event" to "hook"?~~ - [ ] Any other feedback from community? - [x] throw NotImplementedError for `RunnableEach` for now ## Example See this [Example Notebook](dbbc7fa0d6/docs/docs/modules/agents/how_to/streaming_events.ipynb) for an example with streaming in the context of an Agent ## Event Hooks Reference Here is a reference table that shows some events that might be emitted by the various Runnable objects. Definitions for some of the Runnable are included after the table. | event | name | chunk | input | output | |----------------------|------------------|---------------------------------|-----------------------------------------------|-------------------------------------------------| | on_chat_model_start | [model name] | | {"messages": [[SystemMessage, HumanMessage]]} | | | on_chat_model_stream | [model name] | AIMessageChunk(content="hello") | | | | on_chat_model_end | [model name] | | {"messages": [[SystemMessage, HumanMessage]]} | {"generations": [...], "llm_output": None, ...} | | on_llm_start | [model name] | | {'input': 'hello'} | | | on_llm_stream | [model name] | 'Hello' | | | | on_llm_end | [model name] | | 'Hello human!' | | on_chain_start | format_docs | | | | | on_chain_stream | format_docs | "hello world!, goodbye world!" | | | | on_chain_end | format_docs | | [Document(...)] | "hello world!, goodbye world!" | | on_tool_start | some_tool | | {"x": 1, "y": "2"} | | | on_tool_stream | some_tool | {"x": 1, "y": "2"} | | | | on_tool_end | some_tool | | | {"x": 1, "y": "2"} | | on_retriever_start | [retriever name] | | {"query": "hello"} | | | on_retriever_chunk | [retriever name] | {documents: [...]} | | | | on_retriever_end | [retriever name] | | {"query": "hello"} | {documents: [...]} | | on_prompt_start | [template_name] | | {"question": "hello"} | | | on_prompt_end | [template_name] | | {"question": "hello"} | ChatPromptValue(messages: [SystemMessage, ...]) | Here are declarations associated with the events shown above: `format_docs`: ```python def format_docs(docs: List[Document]) -> str: '''Format the docs.''' return ", ".join([doc.page_content for doc in docs]) format_docs = RunnableLambda(format_docs) ``` `some_tool`: ```python @tool def some_tool(x: int, y: str) -> dict: '''Some_tool.''' return {"x": x, "y": y} ``` `prompt`: ```python template = ChatPromptTemplate.from_messages( [("system", "You are Cat Agent 007"), ("human", "{question}")] ).with_config({"run_name": "my_template", "tags": ["my_template"]}) ```	8 months ago
Eugene Yurtsev	ecd4f0a7ec	core[patch]: testing add chat model for unit-tests (#16209) ... This PR adds a fake chat model for testing purposes. Used in this PR: https://github.com/langchain-ai/langchain/pull/16172	8 months ago
Bagatur	c5656a4905	core[patch]: pass exceptions to fallbacks (#16048)	8 months ago
Nuno Campos	112208baa5	Passthrough configurable primitive values as tracer metadata (#15915) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	8 months ago
Erick Friis	656e87beb9	core[patch]: add alternative_import to deprecated (#15781)	9 months ago
Eugene Yurtsev	b508fcce65	core(minor): Add a way to print out system information for debugging purposes. (#15718) ... To use: ```bash python -m langchain_core.sys_info ```	9 months ago
Nuno Campos	ef22559f1f	Populate streamed_output for all runs handled by atransform_stream_with_config (#15599) ... This means that users of astream_log() now get streamed output of virtually all requested runs, whereas before the only streamed output would be for the root run and raw llm runs <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Bagatur	a7d023aaf0	core[patch], community[patch]: mark runnable context, lc load as beta (#15603)	9 months ago
Bagatur	e1fc4d5b95	core[patch]: add beta decorator (#15589)	9 months ago
Eugene Yurtsev	bf0b3cc0b5	core[patch]: Further restrict recursive URL loader (#15559) ... Includes code from this PR: https://github.com/langchain-ai/langchain/compare/HEAD...m0kr4n3:security/fix_ssrf with additional fixes Unit tests cover new test cases	9 months ago
Bagatur	b2f15738dd	core[patch], langchain[patch], community[patch]: Revert #15326 (#15546)	9 months ago
Antonio Pisani	d4a98e4e04	core: update json output parser (#15079) ... - **Description:** changed json.py to handle additional cases of partial json string to be parsed, basically by dropping the last character in the string until a valid json string is found or the string is empty. Also added additional test cases. - **Issue:** function parse_partial_json could not parse cases where the key is present but the value is not. --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	9 months ago
Dariusz Kajtoch	15b6c049d4	core:adds tests for partial_variables (#15427) ... **Description:** Added small tests to test partial_variables in PromptTemplate. It was missing.	9 months ago
Nuno Campos	6810b4b0bc	Use tz-aware utc datetimes in tracer (#15187) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	9cbf14dec2	Fetch runnable config from context var inside runnable lambda and runnable generator (#15334) ... - easier to write custom logic/loops with automatic tracing - if you don't want to streaming support write a regular function and pass to RunnableLambda - if you do want streaming write a generator and pass it to RunnableGenerator ```py import json from typing import AsyncIterator from langchain_core.messages import BaseMessage, FunctionMessage, HumanMessage from langchain_core.agents import AgentAction, AgentFinish from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_core.runnables import Runnable, RunnableGenerator, RunnablePassthrough from langchain_core.tools import BaseTool from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser from langchain.chat_models import ChatOpenAI from langchain.tools.render import format_tool_to_openai_function def _get_tavily(): from langchain.tools.tavily_search import TavilySearchResults from langchain.utilities.tavily_search import TavilySearchAPIWrapper tavily_search = TavilySearchAPIWrapper() return TavilySearchResults(api_wrapper=tavily_search) async def _agent_executor_generator( input: AsyncIterator[list[BaseMessage]], *, max_iterations: int = 10, tools: dict[str, BaseTool], agent: Runnable[list[BaseMessage], BaseMessage], parser: Runnable[BaseMessage, AgentAction | AgentFinish], ) -> AsyncIterator[BaseMessage]: messages = [m async for mm in input for m in mm] for _ in range(max_iterations): next_message = await agent.ainvoke(messages) yield next_message messages.append(next_message) parsed = await parser.ainvoke(next_message) if isinstance(parsed, AgentAction): result = await tools[parsed.tool].ainvoke(parsed.tool_input) next_message = FunctionMessage(name=parsed.tool, content=json.dumps(result)) yield next_message messages.append(next_message) elif isinstance(parsed, AgentFinish): return def get_agent_executor(tools: list[BaseTool], system_message: str): llm = ChatOpenAI(model="gpt-4-1106-preview", temperature=0, streaming=True) prompt = ChatPromptTemplate.from_messages( [ ("system", system_message), MessagesPlaceholder(variable_name="messages"), ] ) llm_with_tools = llm.bind( functions=[format_tool_to_openai_function(t) for t in tools] ) agent = {"messages": RunnablePassthrough()} | prompt | llm_with_tools parser = OpenAIFunctionsAgentOutputParser() executor = RunnableGenerator(_agent_executor_generator) return executor.bind( tools={tool.name for tool in tools}, agent=agent, parser=parser ) agent = get_agent_executor([_get_tavily()], "You are a very nice agent!") async def main(): async for message in agent.astream( [HumanMessage(content="whats the weather in sf tomorrow?")] ): print(message) if __name__ == "__main__": import asyncio asyncio.run(main()) ``` results in this trace https://smith.langchain.com/public/fa17f05d-9724-4d08-8fa1-750f8fcd051b/r	9 months ago
Ankush Gola	f50dba12ff	Calculate trace_id and dotted_order client side (#15351) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Paresh Chiramel	9be08a1956	Update _retrieve_ref inside json_schema.py to include an isdigit() check (#14745) ... - **Description:** Update _retrieve_ref inside json_schema.py to include an isdigit() check - **Issue:** This library is used inside dereference_refs inside langchain_community.agent_toolkits.openapi.spec. When I read in a yaml file which has references for "400", "401" etc; the line "out = out[component]" causes a KeyError. The isdigit() check ensures that if it is an integer like "400" or "401"; it converts it into integer before using it as a key to prevent the error. - **Dependencies:** No dependencies - **Tag maintainer:** @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	9 months ago
Nuno Campos	99000c612e	Propagate context vars in all classes/methods (#15329) ... - Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Ankush Gola	7eec8f2487	Delete V1 tracer and refactor tracer tests to core (#15326)	9 months ago
Nuno Campos	eb5e250188	Propagate context vars in all classes/methods ... - Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars	9 months ago
Harrison Chase	c3b3b77a11	[core] add test for json parser (#15297) ... this should fail, but isnt --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	9 months ago
Nuno Campos	ec090745a6	Improve markdown list parser (#15295) ... - do not match text after - in the middle of a sentence <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	36ceffd2cd	Strip code block fences and extra test from xml when doing streaming … (#15293) ... …parse <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Harrison Chase	b86803153e	[core, langchain] modelio code improvements (#15277)	9 months ago
Nuno Campos	6a5a2fb9c8	Add .pick and .assign methods to Runnable (#15229) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	0252a24471	Implement nicer runnable seq constructor, Propagate name through Runn… (#15226) ... …ableBinding <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Harrison Chase	4ad77f777e	[core] prompt changes (#15186) ... change it to pass all variables through all the way in invoke	9 months ago
Nuno Campos	ccf9c8e0be	Better input and output schemas for chains that start or end with a R… (#15185) ... …unnableAssign or RunnablePick <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	8cdc633465	Implement RunnablePassthrough.pick() (#15184) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Quy Tang	7ef25a3c1b	Implement stream and astream for RunnableLambda (#14794) ... **Description:** Implement stream and astream methods for RunnableLambda to make streaming work for functions returning Runnable - **Issue:** https://github.com/langchain-ai/langchain/issues/11998 - **Dependencies:** No new dependencies - **Twitter handle:** https://twitter.com/qtangs --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	9 months ago
Harrison Chase	b4a0d206d9	[core: minor] fix getters (#15181)	9 months ago
Harrison Chase	63916cfe35	[core] langauge model like (#15180)	9 months ago
Nuno Campos	a2d3042823	Improve graph repr for runnable passthrough and itemgetter (#15083) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	0d0901ea18	Nc/dec22/runnable graph lambda (#15078) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	7d5800ee51	Add Runnable.get_graph() to get a graph representation of a Runnable (#15040) ... It can be drawn in ascii with Runnable.get_graph().draw()	9 months ago
Ran	129a929d69	infra: Fix test filesystem paths incompatible with windows (#14388) ... - **Description:** This PR fixes test failures on Windows caused by path handling differences and unescaped special characters in regex. The failing tests are: ``` FAILED tests/unit_tests/storage/test_filesystem.py::test_yield_keys - AssertionError: assert ['key1', 'subdir\\key2'] == ['key1', 'subdir/key2'] FAILED tests/unit_tests/test_imports.py::test_importable_all - ModuleNotFoundError: No module named 'langchain_community.langchain_community\\adapters' FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_absolute - re.error: incomplete escape \U at position 53 FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_on_parent_dir - re.error: incomplete escape \U at position 69 FAILED tests/unit_tests/tools/file_management/test_utils.py::test_get_validated_relative_path_errs_for_symlink_outside_root - re.error: incomplete escape \U at position 64 ``` - **Issue:** fixes https://github.com/langchain-ai/langchain/issues/11775 (partially) - **Dependencies:** none	9 months ago
Nuno Campos	71076cceaf	Move json and xml parsers to core (#15026) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	d5533b7081	Add option to make messages placeholder optional (#15031) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Nuno Campos	63e512b680	Implement streaming for all list output parsers (#14981) ... <!-- Thank you for contributing to LangChain! Please title your PR "<package>: <description>", where <package> is whichever of langchain, community, core, experimental, etc. is being modified. Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` from the root of the package you've modified to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Quy Tang	42822484ef	core(minor): Implement stream and astream for RunnableBranch (#14805) ... * This PR adds `stream` implementations to Runnable Branch. * Runnable Branch still does not support `transform` so it'll break streaming if it happens in middle or end of sequence, but will work if happens at beginning of sequence. * Fixes use the async callback manager for async methods * Handle BaseException rather than Exception, so more errors could be logged as errors when they are encountered --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	9 months ago
Harrison Chase	193f107cb5	add methods to deserialize prompts that were old (#14857)	9 months ago
William FH	93c7eb4e6b	[Tracing] String Stacktrace (#14131) ... Add full stacktrace	9 months ago
Bagatur	47451951a1	core[patch]: Fix runnable with message history (#14629) ... Fix bug shown in #14458. Namely, that saving inputs to history fails when the input to base runnable is a list of messages	9 months ago
Nuno Campos	a16f4a318f	\Fix tool_calls message merge (#14613) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	9 months ago
Eugene Yurtsev	76905aa043	Update RunnableWithMessageHistory (#14351) ... This PR updates RunnableWithMessage history to support user specific configuration for the factory. It extends support to passing multiple named arguments into the factory if the factory takes more than a single argument.	10 months ago
Nuno Campos	3b5b0f16c6	Move runnable context to beta (#14507) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Bagatur	ed58eeb9c5	community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) ... Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes	10 months ago
Eugene Yurtsev	c0f4b95aa9	RunnableWithMessageHistory: Fix input schema (#14516) ... Input schema should not have history key	10 months ago
Harrison Chase	f5befe3b89	manual mapping (#14422)	10 months ago
Eugene Yurtsev	37bee92b8a	Use deepcopy in RunLogPatch (#14244) ... This PR adds deepcopy usage in RunLogPatch. I included a unit-test that shows an issue that was caused in LangServe in the RemoteClient. ```python import jsonpatch s1 = {} s2 = {'value': []} s3 = {'value': ['a']} ops0 = list(jsonpatch.JsonPatch.from_diff(None, s1)) ops1 = list(jsonpatch.JsonPatch.from_diff(s1, s2)) ops2 = list(jsonpatch.JsonPatch.from_diff(s2, s3)) ops = ops0 + ops1 + ops2 jsonpatch.apply_patch(None, ops) {'value': ['a']} jsonpatch.apply_patch(None, ops) {'value': ['a', 'a']} jsonpatch.apply_patch(None, ops) {'value': ['a', 'a', 'a']} ```	10 months ago
Bagatur	b2280fd874	core[patch], langchain[patch]: fix required deps (#14373)	10 months ago
Nuno Campos	77c38df36c	[core/minor] Runnables: Implement a context api (#14046) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Brace Sproul <braceasproul@gmail.com>	10 months ago
James Braza	3b75d37cee	Adding `BaseChatMessageHistory.__str__` (#14311) ... Adding __str__ to base chat message history to make it easier to debug	10 months ago
James Braza	8b0060184d	Fixing empty input variable crashing `PromptTemplate` validations (#14314) ... - Fixes `input_variables=[""]` crashing validations with a template `"{}"` - Uses `__cause__` for proper `Exception` chaining in `check_valid_template`	10 months ago
Hynek Kydlíček	aa8ae31e5b	core[patch]: add response kwarg to on_llm_error ... # Dependencies None # Twitter handle @HKydlicek --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Hendrik Hogertz	e6862e6e7d	Fix Azure Openai function calling in streaming mode (#13768) ... - **Description**: This PR addresses an issue with the OpenAI API streaming response, where initially the key (arguments) is provided but the value is None. Subsequently, it updates with {"arguments": "{\n"}, leading to a type inconsistency that causes an exception. The specific error encountered is ValueError: additional_kwargs["arguments"] already exists in this message, but with a different type. This change aims to resolve this inconsistency and ensure smooth API interactions. - **Issue**: None. - **Dependencies**: None. - **Tag maintainer**: @eyurtsev This is an updated version of #13229 based on the refactored code. Credit goes to @superken01. Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
David Duong	eb67f07e32	Track RunnableAssign as a separate run trace (#13972) ... Addressing incorrect order being sent to callbacks / tracers, due to the nature of threading --------- Co-authored-by: Nuno Campos <nuno@boringbits.io>	10 months ago
Nuno Campos	0f255bb6c4	In Runnable.stream_log build up final_output from adding output chunks (#12781) ... Add arg to omit streamed_output list, in cases where final_output is enough this saves bandwidth <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Nuno Campos	970fe23feb	Fixes for opengpts release (#13960)	10 months ago
Nicolas Bondoux	e17edc4d0b	RunnableLambda: create afunc instance from func when not provided (#13408) ... Fixes #13407. This workaround consists in letting the RunnableLambda create its self.afunc from its self.func when self.afunc is not provided; the change has no dependency. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Nuno Campos <nuno@langchain.dev>	10 months ago
Bagatur	10a6e7cbb6	langchain[patch], core[patch]: Make common utils public (#13932) ... - rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream` - rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream` - export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`	10 months ago
Nuno Campos	8a3e0c9afa	Add option to prefix config keys in configurable_alts (#13714)	10 months ago
Bagatur	58f7e109ac	BUGFIX: Add import types and typevars from core (#13829)	10 months ago
William FH	163bf165ed	Add Batch Size kwarg to the llm start callback (#13483) ... So you can more easily use the token counts directly from the API endpoint for batch size of 1	10 months ago
Bagatur	32d087fcb8	REFACTOR: combine core documents files (#13733)	10 months ago
Bagatur	16af282429	BUGFIX: add prompt imports for backwards compat (#13702)	10 months ago
Bagatur	a21e84faf7	BUGFIX: llm backwards compat imports (#13698)	10 months ago
tanujtiwari-at	5064890fcf	BUGFIX: handle tool message type when converting to string (#13626) ... **Description:** Currently, if we pass in a ToolMessage back to the chain, it crashes with error `Got unsupported message type: ` This fixes it. Tested locally --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Bagatur	c61e30632e	BUG: more core fixes (#13665) ... Fix some circular deps: - move PromptValue into top level module bc both PromptTemplates and OutputParsers import - move tracer context vars to `tracers.context` and import them in functions in `callbacks.manager` - add core import tests	10 months ago
Bagatur	d32e511826	REFACTOR: Refactor langchain_core (#13627) ... Changes: - remove langchain_core/schema since no clear distinction b/n schema and non-schema modules - make every module that doesn't end in -y plural - where easy have 1-2 classes per file - no more than one level of nesting in directories - only import from top level core modules in langchain	10 months ago
Harrison Chase	d82cbf5e76	Separate out langchain_core package (#13577) ... Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago