96 Commits (a8f530bc4d2692d0e1c3713643522751f85df51c)

Author	SHA1	Message	Date
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	8 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>	8 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).	8 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.	8 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)	9 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.	9 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"]}) ```	9 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	9 months ago
Bagatur	c5656a4905	core[patch]: pass exceptions to fallbacks (#16048)	9 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. -->	9 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