langchain

Commit Graph

Author	SHA1	Message	Date
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_	7 months ago
Ryan Kraus	b3c3b58f2c	core[patch]: Fixed bug in dict to message conversion. (#17023 ) - Description: We discovered a bug converting dictionaries to messages where the ChatMessageChunk message type isn't handled. This PR adds support for that message type. - Issue: #17022 - Dependencies: None - Twitter handle: None	7 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>	7 months ago
Mohammad Mohtashim	f8943e8739	core[patch]: Add doc-string to RunnableEach (#16892 ) Add doc-string to Runnable Each --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	7 months ago
Bagatur	2a510c71a0	core[patch]: doc init positional args (#16854 )	7 months ago
Bagatur	d80c612c92	core[patch]: Message content as positional arg (#16921 )	7 months ago
Bagatur	c29e9b6412	core[patch]: fix chat prompt partial messages placeholder var (#16918 )	7 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>	7 months ago
William FH	bdacfafa05	core[patch]: Remove deep copying of run prior to submitting it to LangChain Tracing (#16904 )	7 months ago
William FH	e02efd513f	core[patch]: Hide aliases when serializing (#16888 ) Currently, if you dump an object initialized with an alias, we'll still dump the secret values since they're retained in the kwargs	7 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..	7 months ago
Bagatur	bb73251146	core[patch]: Release 0.1.18 (#16870 )	7 months ago
Christophe Bornet	a0ec045495	Add async methods to BaseStore (#16669 ) - Description: The BaseStore methods are currently blocking. Some implementations (AstraDBStore, RedisStore) would benefit from having async methods. Also once we have async methods for BaseStore, we can implement the async `aembed_documents` in CacheBackedEmbeddings to cache the embeddings asynchronously. * adds async methods amget, amset, amedelete and ayield_keys to BaseStore * implements the async methods for InMemoryStore * adds tests for InMemoryStore async methods - Twitter handle: cbornet_	7 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	7 months ago
Eugene Yurtsev	ef2bd745cb	docs: Update doc-string in base callback managers (#15885 ) Update doc-strings with a comment about on_llm_start vs. on_chat_model_start.	7 months ago
William FH	881dc28d2c	Fix Dep Recommendation (#16793 ) Tools are different than functions	7 months ago
Bagatur	b0347f3e2b	docs: add csv use case (#16756 )	7 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>	7 months ago
Bagatur	7237dc67d4	core[patch]: Release 0.1.17 (#16737 )	7 months ago
ccurme	ec0ae23645	core: expand docstring for RunnableGenerator (#16672 ) - Description: expand docstring for RunnableGenerator - Issue: https://github.com/langchain-ai/langchain/issues/16631	7 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>	7 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>	7 months ago
Nuno Campos	e86fd946c8	In stream_event and stream_log handle closed streams (#16661 ) if eg. the stream iterator is interrupted then adding more events to the send_stream will raise an exception that we should catch (and handle where appropriate) <!-- 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. -->	7 months ago
Nuno Campos	52ccae3fb1	Accept message-like things in Chat models, LLMs and MessagesPlaceholder (#16418 )	7 months ago
ccurme	a989f82027	core: expand docstring for RunnableParallel (#16600 ) - Description: expand docstring for RunnableParallel - Issue: https://github.com/langchain-ai/langchain/issues/16462 Feel free to modify this or let me know how it can be improved!	7 months ago
Eugene Yurtsev	42db96477f	docs: Update in code documentation for runnable with message history (#16585 ) Update the in code documentation for Runnable With Message History	7 months ago
Bagatur	1e3ce338ca	core[patch]: Release 0.1.16 (#16589 )	7 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	7 months ago
Bagatur	e510cfaa23	core[patch]: passthrough BaseRetriever.invoke(**kwargs) (#16551 ) Fix for #16547	7 months ago
arnob-sengupta	f9976b9630	core[patch]: consolidate conditional in BaseTool (#16530 ) - Description: Refactor contradictory conditional to single line - Issue: #16528	7 months ago
Nuno Campos	3f38e1a457	Remove double line (#16426 ) <!-- 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. -->	7 months ago
Bagatur	ef6a335570	core[patch]: Release 0.1.15 (#16473 )	7 months ago
William FH	5de59f9236	Core[Patch] Parse tool input after on_start (#16430 ) For tracing, if a validation error occurs, currently it is attributed to the previous step of the chain. It would be nice to have the on_start and on_error callbacks called for tools when there is a validation error that occurs to more easily attribute the root-cause	7 months ago
Nuno Campos	226fe645f1	core[patch] Do not try to access attribute of None (#16321 )	7 months ago
Chase VanSteenburg	1011b681dc	core[patch]: Fix f-string formatting in error message for configurable_fields (#16411 ) - Description: Simple fix to f-string formatting. Allows more informative ValueError output. - Issue: None needed. - Dependencies: None. - Twitter handle: @FlightP1an	7 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	7 months ago
Erick Friis	cfe95ab085	multiple: update langsmith dep (#16407 )	7 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) ```	7 months ago
Bagatur	9cf0f5eb78	core[patch]: Release 0.1.14 (#16382 )	7 months ago
Bagatur	1dc6c1ce06	core[patch], community[patch], langchain[patch], docs: Update SQL chains/agents/docs (#16168 ) Revamp SQL use cases docs. In the process update SQL chains and agents.	7 months ago
James Braza	e1c59779ad	core[patch]: Remove `print` statement on missing `grandalf` dependency in favor of more explicit ImportError (#16326 ) After this PR an ImportError will be raised without a print if grandalf is missing when using grandalf related code for printing runnable graphs.	7 months ago
Nuno Campos	971a68d04f	Docs: Update README.md in core (#16329 ) Docs: Update README.md in core	7 months ago
Eugene Yurtsev	89372fca22	core[patch]: Update sys info information (#16297 ) Update information collected in sys info. python -m langchain_core.sys_info System Information ------------------ > OS: Linux > OS Version: #14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov 20 18:15:30 UTC 2 > Python Version: 3.11.4 (main, Sep 25 2023, 10:06:23) [GCC 11.4.0] Package Information ------------------- > langchain_core: 0.1.10 > langchain: 0.1.0 > langchain_community: 0.0.11 > langchain_cli: 0.0.20 > langchain_experimental: 0.0.36 > langchain_openai: 0.0.2 > langchainhub: 0.1.14 > langserve: 0.0.19 Packages not installed (Not Necessarily a Problem) -------------------------------------------------- The following packages were not found: > langgraph	7 months ago
Nuno Campos	ef75bb63ce	core[patch] Fix tracer output of streamed runs with non-addable output (#16324 ) - Used to be None, now is just the last chunk <!-- 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. -->	7 months ago
Bagatur	1e29b676d5	core[patch]: simple fallback streaming (#16055 )	7 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.	7 months ago
Bagatur	e3828bee43	core[patch]: Release 0.1.13 (#16287 )	7 months ago
Bagatur	84bf5787a7	core[patch], openai[patch]: Chat openai stream logprobs (#16218 )	7 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"]}) ```	7 months ago
SN	f175bf7d7b	Use env for revision id if not passed in as param; use `git describe` as backup (#16227 ) Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>	7 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	7 months ago
Nuno Campos	ca014d5b04	Update readme (#16160 ) <!-- 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. -->	7 months ago
Bagatur	7ad9eba8f4	core[patch]: Release 0.1.12 (#16161 )	7 months ago
Bagatur	5c73fd5bba	core[patch]: support old core namespaces (#16155 )	7 months ago
Kapil Sachdeva	f406dc3872	docs: in RunnableRetry, correct the example snippet that uses with_retry method on Runnable (#16108 ) The example code snippet for with_retry is using incorrect argument names. This PR fixes that	7 months ago
Leonid Kuligin	4df14a61fc	google-vertexai[minor]: add function calling on VertexAI (#15822 ) Replace this entire comment with: - Description: Description: added support for tools on VertexAI - Issue: #15073 - Twitter handle: lkuligin --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	076593382a	core[patch]: Release 0.1.11 (#16100 )	7 months ago
Bagatur	c5656a4905	core[patch]: pass exceptions to fallbacks (#16048 )	7 months ago
Bagatur	bccb07f93e	core[patch]: simple prompt pretty printing (#15968 )	7 months ago
Jonathan Algar	a74f3a4979	Batch update of alt text and title attributes for images in md/mdx files across repo (#15357 ) Description: Batch update of alt text and title attributes for images in `md` & `mdx` files across the repo using [alttexter](https://github.com/jonathanalgar/alttexter)/[alttexter-ghclient](https://github.com/jonathanalgar/alttexter-ghclient) (built using LangChain/LangSmith). Limitation: cannot update `ipynb` files because of [this issue](https://github.com/langchain-ai/langchain/pull/15357#issuecomment-1885037250). Can revisit when Docusaurus is bumped to v3. I checked all the generated alt texts and titles and didn't find any technical inaccuracies. That's not to say they're _perfect_, but a lot better than what's there currently. [Deployed](https://langchain-819yf1tbk-langchain.vercel.app/docs/modules/model_io/) image example: ![chrome_yZQ7BF2GTj](https://github.com/langchain-ai/langchain/assets/93204286/43a9a4d4-70fd-41c4-8978-b6240ff63ffa) You can see LangSmith traces for all the calls out to the LLM in the PRs merged into this one: * https://github.com/jonathanalgar/langchain/pull/6 * https://github.com/jonathanalgar/langchain/pull/4 * https://github.com/jonathanalgar/langchain/pull/3 I didn't add the following files to the PR as the images already have OK alt texts: * `27dca2d92f/docs/docs/integrations/providers/argilla.mdx (L3)` * `27dca2d92f/docs/docs/integrations/providers/apify.mdx (L11)` --------- Co-authored-by: github-actions <github-actions@github.com>	7 months ago
Harrison Chase	1afac77439	stop making copies of inputs (#15926 )	7 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. -->	7 months ago
Erick Friis	437cebc955	core[patch]: release 0.1.10 (#15911 )	7 months ago
Harrison Chase	80d41a8da3	add old serializable mapping (#15906 )	7 months ago
Erick Friis	33dccf0f66	core[patch]: release 0.1.9 (#15794 )	8 months ago
Erick Friis	656e87beb9	core[patch]: add alternative_import to deprecated (#15781 )	8 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 ```	8 months ago
Bagatur	60f925d678	core[patch]: Release 0.1.8 (#15677 )	8 months ago
Nuno Campos	7ce4cd0709	Do not issue beta or deprecation warnings on internal calls (#15641 )	8 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. -->	8 months ago
Erick Friis	b1fa726377	docs: langchain-openai (#15513 ) Updates docs and cookbooks to import ChatOpenAI, OpenAI, and OpenAI Embeddings from `langchain_openai` There are likely more --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Bagatur	46446a100d	core[patch]: deprecate v1 tracer (#15608 )	8 months ago
Bagatur	96b47e18e0	core[patch]: Release 0.1.7 (#15610 )	8 months ago
Erick Friis	ebc75c5ca7	openai[minor]: implement langchain-openai package (#15503 ) Todo - [x] copy over integration tests - [x] update docs with new instructions in #15513 - [x] add linear ticket to bump core -> community, community->langchain, and core->openai deps - [ ] (optional): add `pip install langchain-openai` command to each notebook using it - [x] Update docstrings to not need `openai` install - [x] Add serialization - [x] deprecate old models Contributor steps: - [x] Add secret names to manual integrations workflow in .github/workflows/_integration_test.yml - [x] Add secrets to release workflow (for pre-release testing) in .github/workflows/_release.yml Maintainer steps (Contributors should not do these): - [x] set up pypi and test pypi projects - [x] add credential secrets to Github Actions - [ ] add package to conda-forge Functional changes to existing classes: - now relies on openai client v1 (1.6.1) via concrete dep in langchain-openai package Codebase organization - some function calling stuff moved to `langchain_core.utils.function_calling` in order to be used in both community and langchain-openai	8 months ago
Bagatur	a7d023aaf0	core[patch], community[patch]: mark runnable context, lc load as beta (#15603 )	8 months ago
Bagatur	e1fc4d5b95	core[patch]: add beta decorator (#15589 )	8 months ago
Bagatur	00dfbd2a99	core[minor], langchain[minor]: deprecate old Chain and LLM methods (#15499 )	8 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	8 months ago
Bagatur	817b84de9e	core[patch]: Release 0.1.6 (#15547 )	8 months ago
Bagatur	b2f15738dd	core[patch], langchain[patch], community[patch]: Revert #15326 (#15546 )	8 months ago
Bagatur	b317ad2472	core[patch]: Release 0.1.5 (#15480 )	8 months ago
chyroc	b65e57971e	Patch: improve type hint (#15451 )	8 months ago
Li-Lun Lin	cda68d717c	core[patch]: update LanguageModelInput from List to Sequence (#14405 ) Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
amaleki2	413a56b8f1	adding vectorstore_kwarg attribute to search_similarity function (#14604 ) - Description: the ability to add all extra parameter of vectorstore and using them SemanticSimilarityExampleSelector. - Issue: #14583 - Dependencies: no dependensies - Tag maintainer: - Twitter handle: @AmirMalekiz --------- Co-authored-by: Amir Maleki <amaleki@fb.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 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>	8 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.	8 months ago
Bagatur	fa5d49f2c1	docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429 ) ran ```bash g grep -l "langchain.vectorstores" \| xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g" g grep -l "langchain.document_loaders" \| xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g" g grep -l "langchain.chat_loaders" \| xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g" g grep -l "langchain.document_transformers" \| xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g" g grep -l "langchain\.graphs" \| xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g" g grep -l "langchain\.memory\.chat_message_histories" \| xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g" gco master libs/langchain/tests/unit_tests//test_imports.py gco master libs/langchain/tests/unit_tests/*/test_public_api.py ```	8 months ago
Harrison Chase	a33d92306c	add get prompts method (#15425 )	8 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. -->	8 months ago
Bagatur	480626dc99	docs, community[patch], experimental[patch], langchain[patch], cli[pa… (#15412 ) …tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' \| xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' \| xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' \| xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```	8 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	8 months ago
Bagatur	8e0d5813c2	langchain[patch], experimental[patch]: replace langchain.schema imports (#15410 ) Import from core instead. Ran: ```bash git grep -l 'from langchain.schema\.output_parser' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.output_parser/from\ langchain_core.output_parsers/g" git grep -l 'from langchain.schema\.messages' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.messages/from\ langchain_core.messages/g" git grep -l 'from langchain.schema\.document' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.document/from\ langchain_core.documents/g" git grep -l 'from langchain.schema\.runnable' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.runnable/from\ langchain_core.runnables/g" git grep -l 'from langchain.schema\.vectorstore' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.vectorstore/from\ langchain_core.vectorstores/g" git grep -l 'from langchain.schema\.language_model' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.language_model/from\ langchain_core.language_models/g" git grep -l 'from langchain.schema\.embeddings' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.embeddings/from\ langchain_core.embeddings/g" git grep -l 'from langchain.schema\.storage' \| xargs -L 1 sed -i '' "s/from\ langchain\.schema\.storage/from\ langchain_core.stores/g" git checkout master libs/langchain/tests/unit_tests/schema/ make format cd libs/experimental make format cd ../langchain make format ```	8 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. -->	8 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>	8 months ago
chyroc	0665a7da19	Docs: add param comment for `tracing_v2_enabled` (#15308 ) Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Nuno Campos	b9636e5c98	Catch type errors in dumps/dumpd (#15336 ) These can happen for edge cases not covered by `default` handler (eg. "strange" keys in dicts) <!-- 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
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. -->	8 months ago
Ankush Gola	7eec8f2487	Delete V1 tracer and refactor tracer tests to core (#15326 )	8 months ago
Nuno Campos	4e4b119614	Fix executor	8 months ago
chyroc	7ce338201c	Patch: improve check openai version (#15301 )	8 months ago

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