langchain

Commit Graph

Author	SHA1	Message	Date
Eugene Yurtsev	c2d43544cc	core[patch]: Document messages namespace (#23154 ) - Moved doc-strings below attribtues in TypedDicts -- seems to render better on APIReference pages. * Provided more description and some simple code examples	3 months ago
Eugene Yurtsev	883e90d06e	core[patch]: Add an example to the Document schema doc-string (#23131 ) Add an example to the document schema	3 months ago
Bagatur	e8a8286012	core[patch]: runnablewithchathistory from core.runnables (#23136 )	3 months ago
Bagatur	c2b2e3266c	core[minor]: message transformer utils (#22752 )	3 months ago
Jacob Lee	bcbb43480c	core[patch]: Treat type as a special field when merging lists (#22750 ) Should we even log a warning? At least for Anthropic, it's expected to get e.g. `text_block` followed by `text_delta`. @ccurme @baskaryan @efriis	3 months ago
Eugene Yurtsev	5dbbdcbf8e	core[patch]: Update remaining root_validators (#22829 ) This PR updates the remaining root_validators in core to either be explicit pre-init or post-init validators.	3 months ago
Eugene Yurtsev	74e705250f	core[patch]: update some root_validators (#22787 ) Update some of the @root_validators to be explicit pre=True or pre=False, skip_on_failure=True for pydantic 2 compatibility.	3 months ago
Jacob Lee	c01467b1f4	core[patch]: RFC: Allow concatenation of messages with multi part content (#22002 ) Anthropic's streaming treats tool calls as different content parts (streamed back with a different index) from normal content in the `content`. This means that we need to update our chunk-merging logic to handle chunks with multi-part content. The alternative is coerceing Anthropic's responses into a string, but we generally like to preserve model provider responses faithfully when we can. This will also likely be useful for multimodal outputs in the future. This current PR does unfortunately make `index` a magic field within content parts, but Anthropic and OpenAI both use it at the moment to determine order anyway. To avoid cases where we have content arrays with holes and to simplify the logic, I've also restricted merging to chunks in order. TODO: tests CC @baskaryan @ccurme @efriis	4 months ago
ccurme	fbfed65fb1	core, partners: add token usage attribute to AIMessage (#21944 ) ```python class UsageMetadata(TypedDict): """Usage metadata for a message, such as token counts. Attributes: input_tokens: (int) count of input (or prompt) tokens output_tokens: (int) count of output (or completion) tokens total_tokens: (int) total token count """ input_tokens: int output_tokens: int total_tokens: int ``` ```python class AIMessage(BaseMessage): ... usage_metadata: Optional[UsageMetadata] = None """If provided, token usage information associated with the message.""" ... ```	4 months ago
Bagatur	50186da0a1	infra: rm unused # noqa violations (#22049 ) Updating #21137	4 months ago
Nuno Campos	663747b730	core[patch]: Fixes for convert_messages (#21207 ) - support two-tuples of any sequence type (eg. json.loads never produces tuples) - support type alias for role key - if id is passed in in dict form use it - if tool_calls passed in in dict form use them --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
William FH	db14d4326d	[Core] Feat Pretty Print Tool calls (#20997 ) Right now, `tool_calls` are not included in the `pretty_print()` output. Would be nice to show! ![image](https://github.com/langchain-ai/langchain/assets/13333726/6a0ffca3-d02f-4e18-bc76-513eeca2e964)	5 months ago
ccurme	7d8d0229fa	remove placeholder error message (#20340 )	5 months ago
Dawson Bauer	aab075345e	core[patch]: Fix imports defined in messages sub-package (#20500 ) core[patch]: Fix imports defined in messages sub-package (#20500)	5 months ago
ccurme	795c728f71	mistral[patch]: add IDs to tool calls (#20299 ) Mistral gives us one ID per response, no individual IDs for tool calls. ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_mistralai import ChatMistralAI prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatMistralAI(model="mistral-large-latest", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	f02f708f52	core[patch]: For now remove user warning (#20321 ) Remove warning since it creates a lot of noise.	5 months ago
Bagatur	03b247cca1	core[patch]: include tool_calls in ai msg chunk serialization (#20291 )	5 months ago
Bagatur	9514bc4d67	core[minor], ...: add tool calls message (#18947 ) core[minor], langchain[patch], openai[minor], anthropic[minor], fireworks[minor], groq[minor], mistralai[minor] ```python class ToolCall(TypedDict): name: str args: Dict[str, Any] id: Optional[str] class InvalidToolCall(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] error: Optional[str] class ToolCallChunk(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] index: Optional[int] class AIMessage(BaseMessage): ... tool_calls: List[ToolCall] = [] invalid_tool_calls: List[InvalidToolCall] = [] ... class AIMessageChunk(AIMessage, BaseMessageChunk): ... tool_call_chunks: Optional[List[ToolCallChunk]] = None ... ``` Important considerations: - Parsing logic occurs within different providers; - ~Changing output type is a breaking change for anyone doing explicit type checking;~ - ~Langsmith rendering will need to be updated: https://github.com/langchain-ai/langchainplus/pull/3561~ - ~Langserve will need to be updated~ - Adding chunks: - ~AIMessage + ToolCallsMessage = ToolCallsMessage if either has non-null .tool_calls.~ - Tool call chunks are appended, merging when having equal values of `index`. - additional_kwargs accumulate the normal way. - During streaming: - ~Messages can change types (e.g., from AIMessageChunk to AIToolCallsMessageChunk)~ - Output parsers parse additional_kwargs (during .invoke they read off tool calls). Packages outside of `partners/`: - https://github.com/langchain-ai/langchain-cohere/pull/7 - https://github.com/langchain-ai/langchain-google/pull/123/files --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Bagatur	209de0a561	anthropic[minor]: tool use (#20016 )	6 months ago
Nuno Campos	2ae6dcdf01	core: Assign missing message ids in BaseChatModel (#19863 ) - This ensures ids are stable across streamed chunks - Multiple messages in batch call get separate ids - Also fix ids being dropped when combining message chunks 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
Leonid Ganeline	8609afbd10	core[patch]: Update `messages` namespace to fix API reference docs (#19161 ) Classes and functions defined in __init__.py are not parsed into the API Reference. For example: - libs/core/langchain_core/messages/__init__.py : AnyMessage, MessageLikeRepresentation, get_buffer_string(), messages_from_dict(), ... Opinionated: __init__.py is not a typical place to define artifacts. Moved artifacts from __init__ into utils.py. Added `MessageLikeRepresentation` to __all__ since it is used outside of `messages`, for example, in `libs/core/langchain_core/language_models/base.py` Added `_message_from_dict` to __all__ since it is used outside of `messages`(???) I would add `message_from_dict` (without underscore) as an alias. Please, advise.	6 months ago
Bagatur	e0e688a277	core[minor]: generation info on msg (#18592 ) related to #16403 #17188	6 months ago
Bagatur	3e29c04213	core[minor]: add BaseMessage.response_metadata (#18699 )	7 months ago
Eugene Yurtsev	8c71f92cb2	core: upgrade mypy to recent mypy (#18753 ) Testing this works per package on CI	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
Leonid Ganeline	2f2b77602e	docs: modules descriptions (#17844 ) Several `core` modules do not have descriptions, like the [agent](https://api.python.langchain.com/en/latest/core_api_reference.html#module-langchain_core.agents) module. - Added missed module descriptions. The descriptions are mostly copied from the `langchain` or `community` package modules.	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
Erick Friis	3a2eb6e12b	infra: add print rule to ruff (#16221 ) Added noqa for existing prints. Can slowly remove / will prevent more being intro'd	7 months ago
Leonid Ganeline	ae66bcbc10	core[patch]: docstring update (#16813 ) - added missed docstrings - formated docstrings to consistent form	8 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	8 months ago
Bagatur	d80c612c92	core[patch]: Message content as positional arg (#16921 )	8 months ago
Nuno Campos	52ccae3fb1	Accept message-like things in Chat models, LLMs and MessagesPlaceholder (#16418 )	8 months ago
Bagatur	bccb07f93e	core[patch]: simple prompt pretty printing (#15968 )	8 months ago
Jon Nolen	27ee61645d	core: Update messages/__init__.py to account for AIMessageChunk which breaks message history runnable. (#15327 ) - Description: fix parse issue for AIMessageChunk when using - Issue: https://github.com/langchain-ai/langchain/issues/14511 - Dependencies: none - Twitter handle: none Taken from this fix: https://github.com/gpt-engineer-org/gpt-engineer/issues/804#issuecomment-1769853850 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: Harrison Chase <hw.chase.17@gmail.com>	9 months ago
Leonid Ganeline	14d04180eb	docstrings `core` update (#14871 ) Added missed docstrings	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
Harrison Chase	f5befe3b89	manual mapping (#14422 )	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
Nuno Campos	970fe23feb	Fixes for opengpts release (#13960 )	10 months ago
mengjincn	05ea4fd37d	fix merge None value and non None value error (#13703 ) <!-- 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
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	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

42 Commits (9b3a025f9c806a6f8a00030c7058c689536ae5a0)