langchain

Commit Graph

Author	SHA1	Message	Date
Erick Friis	7984206c95	groq: release 0.1.3 (#20836 ) Fixes #20811	5 months ago
Nestor Qin	9111d3a636	community[patch]: Fix message formatting for Anthropic models on Amazon Bedrock (#20801 ) Description: This PR fixes an issue in message formatting function for Anthropic models on Amazon Bedrock. Currently, LangChain BedrockChat model will crash if it uses Anthropic models and the model return a message in the following type: - `AIMessageChunk` Moreover, when use BedrockChat with for building Agent, the following message types will trigger the same issue too: - `HumanMessageChunk` - `FunctionMessage` Issue: https://github.com/langchain-ai/langchain/issues/18831 Dependencies: No. Testing: Manually tested. The following code was failing before the patch and works after. ``` @tool def square_root(x: str): "Useful when you need to calculate the square root of a number" return math.sqrt(int(x)) llm = ChatBedrock( model_id="anthropic.claude-3-sonnet-20240229-v1:0", model_kwargs={ "temperature": 0.0 }, ) prompt = ChatPromptTemplate.from_messages( [ ("system", FUNCTION_CALL_PROMPT), ("human", "Question: {user_input}"), MessagesPlaceholder(variable_name="agent_scratchpad"), ] ) tools = [square_root] tools_string = format_tool_to_anthropic_function(square_root) agent = ( RunnablePassthrough.assign( user_input=lambda x: x['user_input'], agent_scratchpad=lambda x: format_to_openai_function_messages( x["intermediate_steps"] ) ) \| prompt \| llm \| AnthropicFunctionsAgentOutputParser() ) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True, return_intermediate_steps=True) output = agent_executor.invoke({ "user_input": "What is the square root of 2?", "tools_string": tools_string, }) ``` List of messages returned from Bedrock: ``` <SystemMessage> content='You are a helpful assistant.' <HumanMessage> content='Question: What is the square root of 2?' <AIMessageChunk> content="Okay, let's calculate the square root of 2.<scratchpad>\nTo calculate the square root of a number, I can use the square_root tool:\n\n<function_calls>\n <invoke>\n <tool_name>square_root</tool_name>\n <parameters>\n <__arg1>2</__arg1>\n </parameters>\n </invoke>\n</function_calls>\n</scratchpad>\n\n<function_results>\n<search_result>\nThe square root of 2 is approximately 1.414213562373095\n</search_result>\n</function_results>\n\n<answer>\nThe square root of 2 is approximately 1.414213562373095\n</answer>" id='run-92363df7-eff6-4849-bbba-fa16a1b2988c'" <FunctionMessage> content='1.4142135623730951' name='square_root' ```	5 months ago
ccurme	06b04b80b8	groq: fix warning filter for integration test (#20806 )	5 months ago
ccurme	5a3c65a756	standard tests: add xfails (#20659 )	5 months ago
Erick Friis	ddc2274aea	standard-tests: split tool calling test (#20803 ) just making it a bit easier to grok	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	a7c347ab35	langchain[patch]: Update evaluation logic that instantiates a default LLM (#20760 ) Favor langchain_openai over langchain_community for evaluation logic. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	5 months ago
Eugene Yurtsev	72f720fa38	langchain[major]: Remove default instantations of LLMs from VectorstoreToolkit (#20794 ) Remove default instantiation from vectorstore toolkit.	5 months ago
ccurme	42de5168b1	langchain: deprecate LLMChain, RetrievalQA, and ConversationalRetrievalChain (#20751 )	5 months ago
Erick Friis	30c7951505	core: use qualname in beta message (#20361 )	5 months ago
Aliaksandr Kuzmik	5560cc448c	community[patch]: fix CometTracer bug (#20796 ) Hi! My name is Alex, I'm an SDK engineer from [Comet](https://www.comet.com/site/) This PR updates the `CometTracer` class. Fixed an issue when `CometTracer` failed while logging the data to Comet because this data is not JSON-encodable. The problem was in some of the `Run` attributes that could contain non-default types inside, now these attributes are taken not from the run instance, but from the `run.dict()` return value.	5 months ago
Eugene Yurtsev	1c89e45c14	langchain[major]: breaks some chains to remove hidden defaults (#20759 ) Breaks some chains in langchain to remove hidden chat model / llm instantiation.	5 months ago
Eugene Yurtsev	ad6b5f84e5	community[patch],core[minor]: Move in memory cache implementation to core (#20753 ) This PR moves the InMemoryCache implementation from community to core.	5 months ago
Eugene Yurtsev	a2cc9b55ba	core[patch]: Remove autoupgrade to addable dict in Runnable/RunnableLambda/RunnablePassthrough transform (#20677 ) Causes an issue for this code ```python from langchain.chat_models.openai import ChatOpenAI from langchain.output_parsers.openai_tools import JsonOutputToolsParser from langchain.schema import SystemMessage prompt = SystemMessage(content="You are a nice assistant.") + "{question}" llm = ChatOpenAI( model_kwargs={ "tools": [ { "type": "function", "function": { "name": "web_search", "description": "Searches the web for the answer to the question.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "The question to search for.", }, }, }, }, } ], }, streaming=True, ) parser = JsonOutputToolsParser(first_tool_only=True) llm_chain = prompt \| llm \| parser \| (lambda x: x) for chunk in llm_chain.stream({"question": "tell me more about turtles"}): print(chunk) # message = llm_chain.invoke({"question": "tell me more about turtles"}) # print(message) ``` Instead by definition, we'll assume that RunnableLambdas consume the entire stream and that if the stream isn't addable then it's the last message of the stream that's in the usable format. --- If users want to use addable dicts, they can wrap the dict in an AddableDict class. --- Likely, need to follow up with the same change for other places in the code that do the upgrade	5 months ago
Oleksandr Yaremchuk	9428923bab	experimental[minor]: upgrade the prompt injection model (#20783 ) - Description: In January, Laiyer.ai became part of ProtectAI, which means the model became owned by ProtectAI. In addition to that, yesterday, we released a new version of the model addressing issues the Langchain's community and others mentioned to us about false-positives. The new model has a better accuracy compared to the previous version, and we thought the Langchain community would benefit from using the [latest version of the model](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2). - Issue: N/A - Dependencies: N/A - Twitter handle: @alex_yaremchuk	5 months ago
Eugene Yurtsev	645b1e142e	core[minor],langchain[patch],community[patch]: Move InMemory and File implementations of Chat History to core (#20752 ) This PR moves the implementations for chat history to core. So it's easier to determine which dependencies need to be broken / add deprecation warnings	5 months ago
ccurme	7a922f3e48	core, openai: support custom token encoders (#20762 )	5 months ago
Christophe Bornet	0ae5027d98	community[patch]: Remove usage of deprecated StoredBlobHistory in CassandraChatMessageHistory (#20666 )	5 months ago
Bagatur	eb18f4e155	infra: rm sep repo partner dirs (#20756 ) so you can `poetry run pip install -e libs/partners/*/` to your hearts content	5 months ago
Eugene Yurtsev	936c6cc74a	langchain[patch]: Add missing deprecation for openai adapters (#20668 ) Add missing deprecation for openai adapters	5 months ago
Eugene Yurtsev	38adbfdf34	community[patch],core[minor]: Move BaseToolKit to core.tools (#20669 )	5 months ago
Mark Needham	ce23f8293a	Community patch clickhouse make it possible to not specify index (#20460 ) Vector indexes in ClickHouse are experimental at the moment and can sometimes break/change behaviour. So this PR makes it possible to say that you don't want to specify an index type. Any queries against the embedding column will be brute force/linear scan, but that gives reasonable performance for small-medium dataset sizes. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
ccurme	c010ec8b71	patch: deprecate (a)get_relevant_documents (#20477 ) - `.get_relevant_documents(query)` -> `.invoke(query)` - `.get_relevant_documents(query=query)` -> `.invoke(query)` - `.get_relevant_documents(query, callbacks=callbacks)` -> `.invoke(query, config={"callbacks": callbacks})` - `.get_relevant_documents(query, kwargs)` -> `.invoke(query, kwargs)` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Matheus Henrique Raymundo	bb69819267	community: Fix the stop sequence key name for Mistral in Bedrock (#20709 ) Fixing the wrong stop sequence key name that causes an error on AWS Bedrock. You can check the MistralAI bedrock parameters [here](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-mistral.html) This change fixes this [issue](https://github.com/langchain-ai/langchain/issues/20095)	5 months ago
Bagatur	1c7b3c75a7	community[patch], experimental[patch]: support tool-calling sql and p… (#20639 ) d agents	5 months ago
Bagatur	d0cee65cdc	langchain[patch]: langchain-pinecone self query support (#20702 )	5 months ago
shumway743	cb6e5e56c2	community[minor]: add graph store implementation for apache age (#20582 ) Description: implemented GraphStore class for Apache Age graph db Dependencies: depends on psycopg2 Unit and integration tests included. Formatting and linting have been run. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Christophe Bornet	c909ae0152	community[minor]: Add async methods to CassandraVectorStore (#20602 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Leonid Ganeline	06d18c106d	langchain[patch]: `example_selector` import fix (#20676 ) Cleaned up updated imports	5 months ago
Leonid Ganeline	d6470aab60	langchain: `dosctore` import fix (#20678 ) Cleaned up imports	5 months ago
Dmitry Tyumentsev	f111efeb6e	community[patch]: YandexGPT API add ability to disable request logging (#20670 ) Closes (#20622) Added the ability to [disable logging of requests to YandexGPT](https://yandex.cloud/en/docs/foundation-models/operations/yandexgpt/disable-logging).	5 months ago
Mateusz Szewczyk	75ffe51bbe	ibm: Add support for Embedding Models (#20647 ) --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	73809817ff	community: release 0.0.34 (#20672 )	5 months ago
Tomaz Bratanic	8c08cf4619	community: Add support for relationship indexes in neo4j vector (#20657 ) Neo4j has added relationship vector indexes. We can't populate them, but we can use existing indexes for retrieval	5 months ago
Erick Friis	940242c1ec	core: release 0.1.45 (#20664 )	5 months ago
Souls-R	36084e7500	docs: fix variable name typo in example code (#20658 ) This pull request corrects a mistake in the variable name within the example code. The variable doc_schema has been changed to dog_schema to fix the error.	5 months ago
Sivaudha	baedc3ec0a	langchain[minor]: Databricks vector search self query integration (#20627 ) - Enable self querying feature for databricks vector search --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
ccurme	6d530481c1	openai: fix allowed block types (#20636 )	5 months ago
Erick Friis	5c216ad08f	upstage[patch]: un-xfail tool calling test, release 0.1.0 (#20635 )	5 months ago
Nuno Campos	48307e46a3	core[patch]: Fix runnable map ser/de (#20631 )	5 months ago
Charlie Holtz	1cbab0ebda	community: update Replicate to work with official models (#20633 ) Description: you don't need to pass a version for Replicate official models. That was broken on LangChain until now! You can now run: ``` llm = Replicate( model="meta/meta-llama-3-8b-instruct", model_kwargs={"temperature": 0.75, "max_length": 500, "top_p": 1}, ) prompt = """ User: Answer the following yes/no question by reasoning step by step. Can a dog drive a car? Assistant: """ llm(prompt) ``` I've updated the replicate.ipynb to reflect that. twitter: @charliebholtz --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Congyu	dd5139e304	community[patch]: truncate zhipuai `temperature` and `top_p` parameters to [0.01, 0.99] (#20261 ) ZhipuAI API only accepts `temperature` parameter between `(0, 1)` open interval, and if `0` is passed, it responds with status code `400`. However, 0 and 1 is often accepted by other APIs, for example, OpenAI allows `[0, 2]` for temperature closed range. This PR truncates temperature parameter passed to `[0.01, 0.99]` to improve the compatibility between langchain's ecosystem's and ZhipuAI (e.g., ragas `evaluate` often generates temperature 0, which results in a lot of 400 invalid responses). The PR also truncates `top_p` parameter since it has the same restriction. Reference: [glm-4 doc](https://open.bigmodel.cn/dev/api#glm-4) (which unfortunately is in Chinese though). --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Lance Martin	d5c22b80a5	community[patch]: Fix Ollama for LLaMA3 (#20624 ) We see verbose generations w/ LLaMA3 and Ollama - https://smith.langchain.com/public/88c4cd21-3d57-4229-96fe-53443398ca99/r --- Fix here implies that when stop was being set to an empty list, the stream had no conditions under which to stop, which could lead to excessive or unintended output. Test LLaMA2 - https://smith.langchain.com/public/57dfc64a-591b-46fa-a1cd-8783acaefea2/r Test LLaMA3 - https://smith.langchain.com/public/76ff5f47-ac89-4772-a7d2-5caa907d3fd6/r https://smith.langchain.com/public/a31d2fad-9094-4c93-949a-964b27630ccb/r Test Mistral - https://smith.langchain.com/public/a4fe7114-c308-4317-b9fd-6c86d31f1c5b/r --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	3425988de7	core: deprecation default to qualname (#20578 )	5 months ago
hulitaitai	7d0a008744	community[minor]: Add audio-parser "faster-whisper" in audio.py (#20012 ) faster-whisper is a reimplementation of OpenAI's Whisper model using CTranslate2, which is up to 4 times faster than enai/whisper for the same accuracy while using less memory. The efficiency can be further improved with 8-bit quantization on both CPU and GPU. It can automatically detect the following 14 languages and transcribe the text into their respective languages: en, zh, fr, de, ja, ko, ru, es, th, it, pt, vi, ar, tr. The gitbub repository for faster-whisper is : https://github.com/SYSTRAN/faster-whisper --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Guangdong Liu	e3c2431c5b	comminuty[patch]:Fix Error in apache doris insert (#19989 ) - Issue: #19886	5 months ago
Tomaz Bratanic	27370b679e	community[patch]: Ignore null and invalid embedding values for neo4j metadata filtering (#20558 )	5 months ago
Eugene Yurtsev	718c9cbe3a	mistral[patch]: Support both model and model_name (#20557 )	5 months ago
Leonid Ganeline	95dc90609e	experimental[patch]: `prompts` import fix (#20534 ) Replaced `from langchain.prompts` with `from langchain_core.prompts` where it is appropriate. Most of the changes go to `langchain_experimental` Similar to #20348	5 months ago
Massimiliano Pronesti	2542a09abc	community[patch]: AzureSearch incorrectly converted to retriever (#20601 ) Closes #20600. Please see the issue for more details.	5 months ago

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3881 Commits (7984206c95ab1e7fcc3d2ddd47ab682be4a2425d)