Multipromptchain langchain. chat_models import ChatOpenAI from langchain.

Specifically we show how to use the MultiRetrievalQAChain to create a question-answering chain that selects the retrieval QA chain which is most relevant for a given question, and then answers the question using it. prompts import PromptTemplate from langchain. See full list on medium. Given the title of play, it is your job to write a synopsis for that title. If you have more details about the MultiPromptChain class or its run method, I'd be happy to help further. RouterChain Example Flow Feb 7, 2024 · I am new to Langchain and I was recently learning about Multi Route Chain. # # We want to catch situations like that *before* releasing a new langchain, hence this test. agents import get_all_tool_names, create_openai_tools_agent, ZeroShotAgent from dotenv import load_dotenv load_dotenv() # custom imports from llms. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model Dec 15, 2023 · 简介. , a tool to run). The MultiPromptChain class in LangChain is designed to route an input to one of multiple LLM (Large Language Model) chains based on the input's content. fromLLMAndPrompts(llm, __namedParameters): MultiPromptChain. prompts import PromptTemplate physics_template = """You are a very smart physics professor. Message from an AI. multi_prompt_prompt import MULTI Mar 8, 2023 · Our solution for this is to introduce a concept of a PromptSelector. prompts import PromptTemplate. schema import * import os from flask import jsonify, Flask, make_response from langchain. This is a specific type of chain that is used when routing between multiple different prompt templates. runnables import RunnableLambda, RunnableParallel PROMPT = """This is a fake prompt MultiPromptChain多次提示链. However, the ChatOpenAI class, which is a part of the LLMChain subclass, does support streaming responses. Currently, the MultiPromptChain class in the LangChain JS framework does not directly support streaming responses. llm_router import LLMRouterChain, RouterOutputParser from langchain. langchain. loaders import DirectoryLoader If you are still having trouble, you can try uninstalling and reinstalling langchain to make sure that the installation is not corrupted. The video discusses Jul 3, 2023 · from langchain_anthropic import ChatAnthropic from langchain_core. 作者：kevine. Aug 17, 2023 · The MultiPromptChain class in LangChain is designed to work with instances of LLMChain as destination chains. Class hierarchy: This could be due to a naming conflict in your project. This is my code with single database chain. It takes in optional parameters for the default chain and additional options. , tool calls, usage metadata) added by the LangChain Nov 7, 2023 · from langchain. MultiRetrievalQAChain: Retriever: This chain routes input between multiple retrievers. Oct 19, 2023 · LangChain is a robust library designed to simplify interactions with various large language model (LLM) providers, including OpenAI, Cohere, Bloom, Huggingface, and others. Why Use LangChain? Apr 11, 2024 · Checked other resources. [Legacy] Chains constructed by subclassing from a legacy Chain class. When running my routerchain I get an error: Aug 4, 2023 · Hi, @lCrashl!I'm Dosu, and I'm helping the LangChain team manage their backlog. test-with-latest-langchain: runs-on: ubuntu-latest: defaults: run: working-directory: ${{ env. I added a very descriptive title to this question. \ You are great at answering questions about physics in a There are two types of off-the-shelf chains that LangChain supports: Chains that are built with LCEL. 5 days ago · Source code for langchain. router import MultiPromptChain from langchain. 一图胜千言，LangChain 已经成为当前 LLM 应用框架的事实标准，这篇文章就来对 LangChain 基本概念以及其具体使用场景做一个整理。. These methods allow you to stream the final output from the chain. receiving a response from an OpenAI model or user input received. chains import SequentialChain openai_key = "" # Sequential chain llm = OpenAI(temperature=0. They enable to working with different documents, and different prompts. This notebook covers how to do routing in the LangChain Expression Language. Rather than define a default PromptTemplate for each chain, we will move towards defining a PromptSelector for each chain. A memory buffer and a Router. These abstractions are designed to support retrieval of data-- from (vector) databases and other sources-- for integration with LLM workflows. They are important for applications that fetch data to be reasoned over as part MultiPromptChain: This chain routes input between multiple prompts. Sources Oct 19, 2023 · LangChain is a robust library designed to simplify interactions with various large language model (LLM) providers, including OpenAI, Cohere, Bloom, Huggingface, and others. prompt import Nov 28, 2023 · LangChain 是一个以 LLM （大语言模型）模型为核心的开发框架，LangChain 的主要特性：. The invoke method of MultiPromptChain waits for all the promises to resolve before returning the responses. com LangChainでAgentを使う実装が派手なので注目されがちですが、実務で使うにはLLM Chainをうまく設計してやったほうが実用に足る、ということで、LLMChainをまとめます。 LLM Chain LLM Chain — 🦜🔗 LangChain 0. destination_chains: Mapping[str, LLMChain] Solution: If you need to route to different type of destination chain instead of LLM, you need to extend MultiRouteChain to your class. llm_router import LLMRouterChain,RouterOutputParser Memory in the Multi-Input Chain. It takes in optional parameters for the retriever names, descriptions, prompts, defaults, and additional options. MultiPromptChain and LangChain model classes support callbacks which allow to react to certain events, like e. Feb 24, 2024 · from langchain. The next line “positive:{…” show the router chain in action. # It's possible that langchain-experimental works fine with the latest *published* langchain, # but is broken with the langchain on `master`. llm = OpenAI(temperature=. 我们将展示这些路由链条在 MultiPromptChain 中的使用方式，以创建一个问答链条，该链条根据给定的问题选择最相关的 Apr 17, 2024 · I searched the LangChain documentation with the integrated search. chains. chains We would like to show you a description here but the site won’t allow us. It has a vectorstore attribute and routing_keys attribute which defaults to ["query"]. Dynamically route logic based on input. MultiPromptChain does not seem to get well along with langchain. chains. prompts import RouterChain (负责选择下一个要调用的链条) destination_chains: 路由器链条可以路由到的链条. Bases: LLMChain. js and gpt to parse , store and answer question such as. It extends the MultiRouteChain class and provides additional functionality specific to multi-prompt chains. conversation. Mar 10, 2012 · However, MultiPromptChain expects its destination_chains to be a dictionary where the values are instances of concrete subclasses of Chain. However, when I attempt to execute the chains, I'm encountering the following error: ValueError: Missing some input keys Sep 19, 2023 · 大模型LangChain框架基础与使用示例. If so, rename it. To handle this, I'm utilizing the MultiPromptChain from langchain to determine which chain to route the inputs to. For example, you could use LLMChain or ConversationChain, which are concrete subclasses of Chain. Here we need a multi-prompt chain. MultiPromptChain 允许 LLM 从多个提示中进行选择。 There are two types of off-the-shelf chains that LangChain supports: Chains that are built with LCEL. This is an experimental port of langchain( currently v0. Static fromLLMAndRetrievers. multi_prompt. 在本笔记本中，我们将重点讨论不同类型的路由链条。. utils import ConfigurableField from langchain_openai import ChatOpenAI model = ChatAnthropic (model_name = "claude-3-sonnet-20240229"). multi_prompt_prompt import MULTI_PROMPT_ROUTER_TEMPLATE destination_chains = {"chain1": llm_chain 1 day ago · A basic agent works in the following manner: Given a prompt an agent uses an LLM to request an action to take (e. chains import LLMChain from langchain. base import MultiRouteChain class DKMultiPromptChain (MultiRouteChain): destination_chains: Mapping[str, Chain] """Map of name to candidate chains that inputs can be routed to. 0. llm_router import LLMRouterChain,RouterOutputParser from langchain. A class that represents a multi-route chain. base. , runs the tool), and receives an observation. prompts import PromptTemplate from langchain. To use streaming return for MultiPromptChain in a SequentialChain, you can leverage the stream and astream methods provided by the LangChain framework. I searched the LangChain documentation with the integrated search. llm import LLMChain from langchain. Apr 17, 2024 · from langchain. The Runnable Interface has additional methods that are available on runnables, such as with_types, with_retry, assign, bind, get_graph, and more. manager import ( CallbackManagerForChainRun, ) from langchain. To fix this issue, you should replace test_chain with a concrete subclass of Chain. I used the GitHub search to find a similar question and didn't find it. from langchain_chroma import Chroma. engine import create_engine from sqlalchemy. This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects the prompt to use for a given input. In this notebook, we go over how to add memory to a chain that has multiple inputs. . I am sure that this is a bug in LangChain rather than my code. use SQLite instead for testing Jul 14, 2023 · from langchain. loaders module, so you should use the following import statement: from langchain. llms import OpenAI from langchain. You are great at answering questions about physics in a concise Jun 20, 2023 · However setting up the workflow was a bit more complicated that imagined, because langchain. However, all that is being done under the hood is constructing a chain with LCEL. To work around this, you can modify the call method of the MultiPromptChain to accept an object as input. Bases: BaseMessage. Vector stores and retrievers. Routing helps provide structure and consistency around interactions with LLMs. Use this when you have multiple potential prompts you could use to respond and want to route to just one. May 4, 2023 · Hi @Nat. Use LangGraph to build stateful agents with MultiPromptChain: This chain routes input between multiple prompts. The Python interpreter might be importing this file instead of the actual langchain package. prompts import ChatPromptTemplate from langchain_core. AIMessage is returned from a chat model as a response to a prompt. Oct 6, 2023 · I tried it with SequentialChain and MultiPromptChain but I didn't had any luck to implement something close to the conversation flow I described above. LangChain 是一个基于大语言模型的应用开发框架，它主要通过两种 Documentation for LangChain. callbacks. I wanted to let you know that we are marking this issue as stale. It utilizes an LLM router chain to choose among different prompts. Mar 10, 2012 · Issue: As described in issue langchain-ai#7524 Dependencies: None Tag maintainer: SInce this is related to the callback module, tagging @agola11 @idoru Comments: Glad to see issue langchain-ai#7524 fixed in pull langchain-ai#6124, but you forget to change the same place in FileCallbackHandler Sep 29, 2023 · This is my sample code: import langchain from dotenv import load_dotenv, find_dotenv _ = load_dotenv(find_dotenv()) # read local . Jun 29, 2023 · from typing import Dict, Any, Optional, Mapping from langchain. SQLChatMessageHistory (or Redis like I am using). """ from __future__ import annotations from typing import Any, Dict, List, Optional from langchain_core. 封装了 Model I/O（输入 / 输出）、Retrieval（检索器）、Memory（记忆）、Agents（决策 from langchain. chat_models import ChatOpenAI from langchain. In this case, LangChain offers a higher-level constructor method. Jun 18, 2023 · So I decided to use two SQLdatabse chain with separate prompts and connect them with Multipromptchain. They can be used to create complex workflows and provide better control over the AI model's response generation process. Jun 1, 2023 · LangChain is a significant advancement in the world of LLM application development due to its broad array of integrations and implementations, its modular nature, and the ability to simplify The second LangChain topic we are covering in this blog are callbacks. Chain 的设计非常巧妙，也非常值得借鉴，也是 Documentation for LangChain. It extends the BaseChain class and provides functionality for routing inputs to different chains based on a router chain. It's possible that it follows the same pattern as the Chain class, but without more information, I can't confirm this. router. The agent executes the action (e. 173 python. Class MultiPromptChain A class that represents a multi-prompt chain in the LangChain framework. agents import load_tools, initialize_agent, AgentType from langchain. messages. Jun 24, 2024 · “Entering new MultiPromptChain chain…” this message from LangChain itself. I even provided code modifications and suggested upgrading to the latest version of LangChain. Bases: MultiRouteChain A multi-route chain that uses an LLM router chain to choose amongst prompts. g. chains import SequentialChain from langchain. Mar 2, 2024 · from langchain. This tutorial will familiarize you with LangChain's vector store and retriever abstractions. 设计思路. env file from langchain. I guess I need multiple components for this. LangChain simplifies every stage of the LLM application lifecycle: Development: Build your applications using LangChain's open-source building blocks, components, and third-party integrations . MultiPromptChain is a powerful feature that allows you to select from multiple prompts within a single Feb 21, 2024 · from langchain. In my case, define a new class : Oct 24, 2023 · This is because MultiPromptChain is a multi-route chain that uses an LLM router chain to choose amongst prompts, and the output of this process is typically a 'text' string. language_models import BaseLanguageModel from langchain_core. MultiPromptChain¶ class langchain. chain = MultiPromptChain. If no prompt is specified by the user, the PromptSelector will select a PromptTemplate to use based on the model that is passed in. Oct 12, 2023 · I have a MultiPromptChain with a few destination chains. class langchain. multi_prompt_chain MultiPromptChain多次提示链 . """Use a single chain to route an input to one of multiple llm chains. Introduction. runnables. 可以连接多种数据源，比如网页链接、本地 PDF 文件、向量数据库等. This solution was suggested in a similar issue #2079. The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package). ai. llms import OpenAI from langchain. Chain 作为 LangChain 的核心模块之一，重要性不言而喻，它相当于是所有复杂逻辑的基础，用来将每个零散的逻辑串联成一整个业务流程，Chain 的设计非常巧妙，可以说是大模型应用的最佳实践之一。. Apr 1, 2023 · In the latest version of langchain, DirectoryLoader is located in the langchain. llm_router import LLMRouterChain, RouterOutputParser from langchain. AIMessage. WORKDIR Jun 16, 2023 · but the sample MultiPromptChain set the desitnation to be LLMChain only. ¶. 6, openai_api_key = openai_key) ##### Chain 1 - Restaurant Name prompt 2 days ago · langchain 0. Jun 19, 2023 · I want to know is this possible to use multiple sqldatabasechains with multipromptchain like this? OR I should try different approach? table_template = """template 2""" Aug 18, 2023 · I'm using multiple RetrievalQA chains, each with different formatting instructions and prompt templates. Nov 14, 2023 · The router chain in LangChain, specifically the EmbeddingRouterChain, handles the routing of user input to the destination chains by using embeddings to route between options. router. fromLLMAndRetrievers(llm, __namedParameters): MultiRetrievalQAChain. This message represents the output of the model and consists of both the raw output as returned by the model together standardized fields (e. LangChain 是什么. 允许语言模型与其环境交互. The agent returns the observation to the LLM, which can then be used to generate the next action. Agents select and use Tools and Toolkits for actions. chains import SimpleSequentialChain from langchain. Aug 24, 2023 · I'm using langchain to define an application that first identifies the type of question coming in (=detected_intent) and then uses a routerchain to identify which prompt template to use to answer this type of question. I have successfully created multiple LLMChains as follows: output_parse Jan 23, 2024 · from operator import itemgetter from langchain_core. While practising it on my own, I was wondering why can't we use ChatPromptTemplate instead of PromptTemplate to get the router prompt. MultiPromptChain [source] ¶. MultiPromptChain [source] ¶ Bases: MultiRouteChain. chat_models import ChatVertexAI from langchain. How To Combine Multiple Prompts With Open AI and Langchain with Node JS In this video, we will look at combining multiple prompts from Open AI with Langchain 动态从多个提示中选择 multi_prompt_router. The destination_chains attribute is a mapping of names to LLMChain instances. documents import Document from langchain_core. : ``` memory = ConversationBufferMemory( chat_memory=RedisChatMessageHistory( session_id=conversation_id, url=redis_url, key_prefix="your_redis_index_prefix" ), memory_key="chat_history", return_messages=True ) ´´´ You can e. MultiPromptChain: This chain routes input between multiple prompts. Specifically we show how to use the MultiPromptChain to create a question-answering chain that selects the prompt which is most relevant for a given question, and then answers the question using that prompt. I am trying to return a dictionary as response rather than a string. [ Deprecated] Chain to have a conversation and load context from memory. Aug 2, 2023 · from langchain. llm_router import LLMRouterChain, RouterOutputParser #prompt_templates for destination chains physics_template = """You are a very smart physics professor. 9¶ langchain. Create a new model by parsing and validating input data from keyword arguments. This is done using the ConditionalPromptSelector class, which takes a default prompt and a list of conditionals. basic_memory import get_memory_object from prompt_templates Apr 8, 2024 · from langchain. What sets LangChain apart is its unique feature: the ability to create Chains, and logical connections that help in bridging one or multiple LLMs. This chain takes as inputs both related documents and a user question. Jan 29, 2024 · The MultiPromptChain indeed expects a single input, but when used within a RunnableSequence, the input is an object containing variables from previous steps. prompts import PromptTemplate # This is an LLMChain to write a synopsis given a title of a play. LangChain is a framework for developing applications powered by large language models (LLMs). for example: "find me jobs with 2 year experience" ==> should return a list "I have knowledge in javascript find me jobs" ==> should return the jobs pbject May 8, 2024 · To use a local language model (LLM) with SQLDatabaseChain without relying on external APIs like OpenAI, you'll need to wrap your AutoModelForCausalLM instance in a custom class that implements the Runnable interface required by LangChain. Jul 3, 2023 · langchain. 2. Please note that this project is currently in the proof-of-concept stage, and is subject to change. We would like to show you a description here but the site won’t allow us. 2 days ago · langchain_core. Nov 8, 2023 · from langchain. We will add memory to a question/answering chain. Please check if you have a file named langchain. from Router Chains are an extension of Langchain Chains, designed to manage and route prompts based on specific conditions. In Chains, a sequence of actions is hardcoded. chains Nov 9, 2023 · Yes, the MultiPromptChain in the LangChain framework can select a specific prompt template based on a parameter. The loop checks if the result contains the key "final" to determine if the final result has been reached and updates the input for the next iteration based on the result of the current invocation. prompts. prompts import PromptTemplate, ChatPromptTemplate from langchain. A static method that creates an instance of MultiPromptChain from a BaseLanguageModel and a set of prompts. chains import ConversationChain from langchain. 本笔记本演示了如何使用 RouterChain 范式创建一个动态选择要用于给定输入的提示的链。 具体来说，我们展示了如何使用 MultiPromptChain 创建一个问题回答链，该链选择与给定问题最相关的提示，然后使用该提示来回答问题。 May 21, 2024 · This code includes a loop in the handle_prompt function that keeps invoking the MultiPromptChain until the final result is reached. The difference in output keys is due to the different roles these chains play in the LangChain framework. 7) template = """You are a playwright. com Jun 18, 2023 · I have the following json content in a file and would like to use langchain. Aug 29, 2023 · MultiPromptChain is a powerful feature that can significantly enhance the capabilities of Langchain Chains and Router Chains, By adding it to your AI workflows, your model becomes more efficient, provides more flexibility in generating responses, and creates more complex, dynamic workflows. E. In the _call method, it takes the inputs and an optional run_manager. A static method that creates an instance of MultiRetrievalQAChain from a BaseLanguageModel and a set of retrievers. Most memory objects assume a single input. Before we close this issue, we wanted to check with you if it is still relevant to the latest version of the LangChain repository. It indicates that the call has been initiated and the “MultiPromptChain” is starting to work. azure_openai_llm import build_default_llm from memory. Dec 7, 2023 · As for the MultiPromptChain class, I wasn't able to find the exact signature of the run method in the repository. As for the output_keys, the MultiPromptChain class expects the May 10, 2023 · Langchain team has released new primitives called Router Chains. from langchain. from sqlalchemy import * from sqlalchemy. A multi-route chain that uses an LLM router chain to choose amongst prompts. com LLMChainは、おそらくLLM Jul 13, 2023 · I provided a potential solution by suggesting the use of the MultiRetrievalQAChain class instead of MultiPromptChain. You can use ConversationBufferMemory with chat_memory set to e. py in your project. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. 139 ) to android/JVM/Kotlin Multiplatform. agents ¶ Agent is a class that uses an LLM to choose a sequence of actions to take. An AgentExecutor is not a subclass of LLMChain, which is why you're seeing a type mismatch. ConversationChain [source] ¶. Static fromLLMAndPrompts. Routing allows you to create non-deterministic chains where the output of a previous step defines the next step. llm import LLMChain from langchain. LangChain is an open-source framework and developer toolkit that helps developers get LLM applications from prototype to production. js. From what I understand, the issue you reported is related to the agent not recognizing the chat history. May 22, 2023 · Chains — 🦜🔗 LangChain 0. langchain. This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects which Retrieval system to use. ae qz zr ho na fq ai no hd sk