langchain

Commit Graph

Author	SHA1	Message	Date
Erick Friis	3dce2e1d35	all: add release notes to pypi (#24519 )	2 months ago
Bagatur	236e957abb	core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417 ) After this PR chat models will correctly handle pydantic 2 with bind_tools and with_structured_output. ```python import pydantic print(pydantic.__version__) ``` 2.8.2 ```python from langchain_openai import ChatOpenAI from pydantic import BaseModel, Field class Add(BaseModel): x: int y: int model = ChatOpenAI().bind_tools([Add]) print(model.invoke('2 + 5').tool_calls) model = ChatOpenAI().with_structured_output(Add) print(type(model.invoke('2 + 5'))) ``` ``` [{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_PNUFa4pdfNOYXxIMHc6ps2Do', 'type': 'tool_call'}] <class '__main__.Add'> ``` ```python from langchain_openai import ChatOpenAI from pydantic.v1 import BaseModel, Field class Add(BaseModel): x: int y: int model = ChatOpenAI().bind_tools([Add]) print(model.invoke('2 + 5').tool_calls) model = ChatOpenAI().with_structured_output(Add) print(type(model.invoke('2 + 5'))) ``` ```python [{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_hhiHYP441cp14TtrHKx3Upg0', 'type': 'tool_call'}] <class '__main__.Add'> ``` Addresses issues: https://github.com/langchain-ai/langchain/issues/22782 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
Bagatur	99054e19eb	mistralai[patch]: Release 0.1.10 (#24200 )	2 months ago
Bagatur	cb5031f22f	integrations[patch]: require core >=0.2.17 (#24207 )	2 months ago
Bagatur	5fd1e67808	core[minor], integrations...[patch]: Support ToolCall as Tool input and ToolMessage as Tool output (#24038 ) Changes: - ToolCall, InvalidToolCall and ToolCallChunk can all accept a "type" parameter now - LLM integration packages add "type" to all the above - Tool supports ToolCall inputs that have "type" specified - Tool outputs ToolMessage when a ToolCall is passed as input - Tools can separately specify ToolMessage.content and ToolMessage.raw_output - Tools emit events for validation errors (using on_tool_error and on_tool_end) Example: ```python @tool("structured_api", response_format="content_and_raw_output") def _mock_structured_tool_with_raw_output( arg1: int, arg2: bool, arg3: Optional[dict] = None ) -> Tuple[str, dict]: """A Structured Tool""" return f"{arg1} {arg2}", {"arg1": arg1, "arg2": arg2, "arg3": arg3} def test_tool_call_input_tool_message_with_raw_output() -> None: tool_call: Dict = { "name": "structured_api", "args": {"arg1": 1, "arg2": True, "arg3": {"img": "base64string..."}}, "id": "123", "type": "tool_call", } expected = ToolMessage("1 True", raw_output=tool_call["args"], tool_call_id="123") tool = _mock_structured_tool_with_raw_output actual = tool.invoke(tool_call) assert actual == expected tool_call.pop("type") with pytest.raises(ValidationError): tool.invoke(tool_call) actual_content = tool.invoke(tool_call["args"]) assert actual_content == expected.content ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Bagatur	a0c2281540	infra: update mypy 1.10, ruff 0.5 (#23721 ) ```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/*/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.)\:(\d+)\: error:.\[(.)\]", l): path, line_no, error_type = re.match( "^(.)\:(\d+)\: error:.\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```	3 months ago
Yannick Stephan	5b1de2ae93	mistralai: Fixed streaming in MistralAI with ainvoke and callbacks (#22000 ) # Fix streaming in mistral with ainvoke - [x] PR title - [x] PR message - [x] Add tests and docs: 1. [x] Added a test for the fixed integration. 2. [x] An example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] Lint and test: Ran `make format`, `make lint` and `make test` from the root of the package(s) I've modified. Hello * I Identified an issue in the mistral package where the callback streaming (see on_llm_new_token) was not functioning correctly when the streaming parameter was set to True and call with `ainvoke`. * The root cause of the problem was the streaming not taking into account. ( I think it's an oversight ) * To resolve the issue, I added the `streaming` attribut. * Now, the callback with streaming works as expected when the streaming parameter is set to True. ## How to reproduce ``` from langchain_mistralai.chat_models import ChatMistralAI chain = ChatMistralAI(streaming=True) # Add a callback chain.ainvoke(..) # Oberve on_llm_new_token # Now, the callback is given as streaming tokens, before it was in grouped format. ``` Co-authored-by: Erick Friis <erick@langchain.dev>	3 months ago
Bagatur	9a5e35d1ba	mistralai[patch]: Release 0.1.9 (#23653 )	3 months ago
Bagatur	fc8fd49328	openai, anthropic, ...: with_structured_output to pass in explicit tool choice (#23645 ) ...community, mistralai, groq, fireworks part of #23644	3 months ago
Bagatur	90559fde70	openai[patch], standard-tests[patch]: don't pass in falsey stop vals (#23153 ) adds an image input test to standard-tests as well	3 months ago
Bagatur	d96f67b06f	standard-tests[patch]: Update chat model standard tests (#22378 ) - Refactor standard test classes to make them easier to configure - Update openai to support stop_sequences init param - Update groq to support stop_sequences init param - Update fireworks to support max_retries init param - Update ChatModel.bind_tools to type tool_choice - Update groq to handle tool_choice="any". this may be controversial --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
ccurme	936aedd10c	mistral[patch]: add usage_metadata to (a)invoke and (a)stream (#22781 )	3 months ago
Bagatur	8e86080def	mistralai[patch]: Release 0.1.8 (#22494 )	4 months ago
Mohammad Mohtashim	577ed68b59	mistralai[patch]: Added Json Mode for ChatMistralAI (#22213 ) - Description: Powered [ChatMistralAI.with_structured_output](`fbfed65fb1/libs/partners/mistralai/langchain_mistralai/chat_models.py (L609)`) via json mode - Issue: #22081 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	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
ccurme	9c76739425	mistral: implement ls_params (#21867 )	4 months ago
ccurme	181dfef118	core, standard tests, partner packages: add test for model params (#21677 ) 1. Adds `.get_ls_params` to BaseChatModel which returns ```python class LangSmithParams(TypedDict, total=False): ls_provider: str ls_model_name: str ls_model_type: Literal["chat"] ls_temperature: Optional[float] ls_max_tokens: Optional[int] ls_stop: Optional[List[str]] ``` by default it will only return ```python {ls_model_type="chat", ls_stop=stop} ``` 2. Add these params to inheritable metadata in `CallbackManager.configure` 3. Implement `.get_ls_params` and populate all params for Anthropic + all subclasses of BaseChatOpenAI Sample trace: https://smith.langchain.com/public/d2962673-4c83-47c7-b51e-61d07aaffb1b/r OpenAI: <img width="984" alt="Screenshot 2024-05-17 at 10 03 35 AM" src="https://github.com/langchain-ai/langchain/assets/26529506/2ef41f74-a9df-4e0e-905d-da74fa82a910"> Anthropic: <img width="978" alt="Screenshot 2024-05-17 at 10 06 07 AM" src="https://github.com/langchain-ai/langchain/assets/26529506/39701c9f-7da5-4f1a-ab14-84e9169d63e7"> Mistral (and all others for which params are not yet populated): <img width="977" alt="Screenshot 2024-05-17 at 10 08 43 AM" src="https://github.com/langchain-ai/langchain/assets/26529506/37d7d894-fec2-4300-986f-49a5f0191b03">	4 months ago
Erick Friis	aca98fd150	multiple: releases with relaxed core dep (#21724 )	4 months ago
Erick Friis	c77d2f2b06	multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646 ) 0.2 is not a breaking release for core (but it is for langchain and community) To keep the core+langchain+community packages in sync at 0.2, we will relax deps throughout the ecosystem to tolerate `langchain-core` 0.2	4 months ago
Erick Friis	36c2ca3c8b	mistralai: relax tokenizers dep (#21277 )	5 months ago
ccurme	eb0a2fd53a	mistral: release 0.1.6 (#21214 )	5 months ago
Maxime Perrin	1ebb5a70ad	partners(mistralai): Removing unused variable in completion request (using tool_calls or content) (#21201 ) This PR fixes #21196. The error was occurring when calling chat completion API with a chat history. Indeed, the Mistral API does not accept both `content` and `tool_calls` in the same body. This PR removes one of theses variables depending on the necessity. --------- Co-authored-by: Maxime Perrin <mperrin@doing.fr> Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Erick Friis	854ae3e1de	mistralai: release 0.1.5, allow client passing in (#21034 )	5 months ago
ccurme	84b8e67c9c	mistral: release 0.1.4 (#20940 )	5 months ago
ccurme	fdabd3cdf5	mistral, openai: support custom tokenizers in chat models (#20901 )	5 months ago
Erick Friis	5da9dd1195	mistral: comment batching param (#20868 ) Addresses #20523	5 months ago
Erick Friis	8c95ac3145	docs, multiple: de-beta with_structured_output (#20850 )	5 months ago
ccurme	6622829c67	mistral: catch GatedRepoError, release 0.1.3 (#20802 ) https://github.com/langchain-ai/langchain/issues/20618 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Eugene Yurtsev	718c9cbe3a	mistral[patch]: Support both model and model_name (#20557 )	5 months ago
Eugene Yurtsev	8c29b7bf35	mistralai[patch]: Use public attribute for eventsource.response (#20580 ) Minor change, use the public attribute instead of the protected one.	5 months ago
ccurme	2238490069	mistral, openai: allow anthropic-style messages in message histories (#20565 )	5 months ago
ccurme	4a17951900	mistral: read tool calls from AIMessage (#20554 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	f257909699	mistralai[patch]: Surface http errors (#20555 ) Do not swallow errors when streaming with httpx. Update affected code if this PR gets merged to httpx: https://github.com/florimondmanca/httpx-sse/pull/25/files	5 months ago
Bagatur	799714c629	release anthropic, fireworks, openai, groq, mistral (#20333 )	6 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>	6 months ago
Erick Friis	9eb6f538f0	infra, multiple: rc release versions (#20252 )	6 months ago
Bagatur	0d0458d1a7	mistralai[patch]: Pre-release 0.1.2-rc.1 (#20251 )	6 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>	6 months ago
Bagatur	74d04a4e80	mistralai[patch]: Release 0.1.1 (#20239 )	6 months ago
Erick Friis	855ba46f80	standard-tests: a standard unit and integration test set (#20182 ) just chat models for now	6 months ago
Bagatur	3490d70238	mistralai[patch]: standardize model params (#20163 ) Related to #20085	6 months ago
Bagatur	2f5606a318	mistralai[patch]: correct integration_test (#19774 )	6 months ago
Pierre Véron	ace7b66261	mistralai[patch]: add missing _combine_llm_outputs implementation in ChatMistralAI (#18603 ) # Description Implementing `_combine_llm_outputs` to `ChatMistralAI` to override the default implementation in `BaseChatModel` returning `{}`. The implementation is inspired by the one in `ChatOpenAI` from package `langchain-openai`. # Issue None # Dependencies None # Twitter handle None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Erick Friis	441a8012b3	mistralai[patch]: release 0.1.0 (#19540 )	6 months ago
Erick Friis	b617085af0	mistralai[patch]: streaming tool calls (#19469 )	6 months ago
aditya thomas	bc028294d0	docs: delete mistralai embeddings doc from incorrect location (#19432 ) Description: Delete MistralAIEmbeddings usage document from folder partners/mistralai/docs Issue: The document is present in the folder docs/docs Dependencies: None	6 months ago
Erick Friis	11e37943ed	mistralai[patch]: fix core version (#19454 )	6 months ago
Erick Friis	3b093160c4	mistralai[patch]: release 0.1.0rc1 (#19453 )	6 months ago
ccurme	c4599444ee	mistralai: update tool calling (#19451 ) ```python from langchain.agents import tool from langchain_mistralai import ChatMistralAI llm = ChatMistralAI(model="mistral-large-latest", temperature=0) @tool def get_word_length(word: str) -> int: """Returns the length of a word.""" return len(word) tools = [get_word_length] llm_with_tools = llm.bind_tools(tools) llm_with_tools.invoke("how long is the word chrysanthemum") ``` currently raises ``` AttributeError: 'dict' object has no attribute 'model_dump' ``` Same with `.with_structured_output` ```python from langchain_mistralai import ChatMistralAI from langchain_core.pydantic_v1 import BaseModel class AnswerWithJustification(BaseModel): """An answer to the user question along with justification for the answer.""" answer: str justification: str llm = ChatMistralAI(model="mistral-large-latest", temperature=0) structured_llm = llm.with_structured_output(AnswerWithJustification) structured_llm.invoke("What weighs more a pound of bricks or a pound of feathers") ``` This appears to fix.	6 months ago
Erick Friis	53ac1ebbbc	mistralai[minor]: 0.1.0rc0, remove mistral sdk (#19420 )	6 months ago

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68 Commits (3a55f4bfe9c7f3c9ed1f6f902af5cf60f856a255)