Langchain prompt hub github. Built with LangChain and FastAPI.

js starter app. ')), MessagesPlaceholder(variable_name='chat_history'), HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['input', 'tool_names', 'tools'], template='TOOLS 001-tutorial: Introduction to LangChain basics. ; question: The question being asked of the API. prompt_values import PromptValue, StringPromptValue from langchain_core. sql. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. /. Here is the method in the code: @classmethod def from_chain_type (. You are an assistant that distinguishes different types of prompts and returns the corresponding SPARQL query types. pydantic_v1 import BaseModel, create_model This template scaffolds a LangChain. Otherwise, feel free to close the issue yourself or it will be automatically closed in 7 days. 众所周知 OpenAI 的 API 无法联网的，所以如果只使用自己的功能实现联网搜索并给出回答、总结 PDF 文档、基于某个 Youtube 视频进行问答等等的功能肯定是无法实现的。. 31, Python 3. 9 Generative_Result_Message = """Given the following schema table, sql query and sql result. Not sure where to put the partial_variables when using Chat Prompt Templates. It accepts a set of parameters from the user that can be used to generate a prompt for a language model. Different methods like Chain of Thought and Tree of Thoughts are employed to guide the decomposition process effectively. The suggested options are json and yaml, but we provide python as an option for more flexibility. This class allows you to run multiple tasks concurrently, which is useful when you want to process the same input in different ways simultaneously. They can be used to represent text, images, or chat message pieces. Reload to refresh your session. 2. It takes as input all the same input variables as the prompt passed in does. If it is, please let us know by commenting on the issue. Cheat Sheet: Creating custom tools with the tool decorator: Import tool from langchain. This combine_documents_chain is then used to create and return a new BaseRetrievalQA instance. environ["SERPER_API_KEY"] = "" from langchain_community. The agent is then executed with the input "hi". Built with LangChain and FastAPI. This notebook guides you through using Constitutional AI chain in LangChain for the purpose of trying to protect your LLM App from malicious hackers and malicious prompt engineerings. LangChain has 72 repositories available. System Info. get_format_instructions() prompt_text = "Give me a create a hub of your method in . prompts import PromptTemplate from langchain_openai import OpenAI # simple sequential chain from langchain. Checklist I added a very descriptive title to this issue. Blame. runnables import Sep 5, 2023 · LangChain Hub is built into LangSmith (more on that below) so there are 2 ways to start exploring LangChain Hub. We would like to show you a description here but the site won’t allow us. prompts import ChatPromptTemplate from langchain_core. chat import ChatPromptTemplate from tools import TruckTool from langchain import Taking inspiration from Hugging Face Hub, LangChainHub is collection of all artifacts useful for working with LangChain primitives such as prompts, chains and agents. You'll also learn how to use prompt templates and LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. A prompt template consists of a string template. 1-microsoft-standard-WSL2-x86_64-with-glibc2. chains. prompt import PromptTemplate _template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language. I am sure that this is a bug in LangChain rather than my code. 文档地址： https://python. For example, for a given question, the sources that appear within the answer could like this 1. """ from __future__ import annotations from abc import ABC, abstractmethod from typing import List, Literal, Sequence, cast from typing_extensions import TypedDict from langchain_core. Thank you for your contribution to the LangChain repository! RetrievalQA Chain: use prompts from the hub in an example RAG pipeline. """**Prompt** is the input to the model. You switched accounts on another tab or window. Mar 1, 2023 · Before we close this issue, we wanted to check with you if it is still relevant to the latest version of the LangChain repository. /hub/your_method_name, make sure to have an . agents import create_openai_functions_agent from langchain. The code simplifies the process of generating human-like responses and performing language-related tasks using OpenAI's GPT RetrievalQA Chain: use prompts from the hub in an example RAG pipeline. from langchain import hub from langchain. Apr 21, 2023 · Hi there! After setting up something like the following: prompt = PromptTemplate. If the AI does not know the answer to a question, it truthfully says it does not know. Install the pygithub library. load. This is a description of the inputs that the prompt expects. from langchain_core. LangChain Decorators . Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Get SH*T Done with Prompt Engineering and LangChain. Before we close this issue, we wanted to check with you if it is still relevant to the latest version of the LangChain You signed in with another tab or window. LangChain-Teacher's goal is to facilitate interactive learning of LangChain, enabling users to begin with the Python-based LangChain through a chat-based learning interface. 🍿 Watch on YouTube. **Class hierarchy:** . In this project, you'll learn how to perform sentiment analysis with GPT and LangChain, learn about MRKL prompts used to help LLMs reason, and build a simple AI agent. n - number of generations to simulate. Your proposed solution and the changes you made to the code seem well thought out and thorough. Jun 17, 2024 · Let's tackle this together! 🤖. 10 Host System: Windows 11 I'm loading Few Shot Prompts from a fewshot_prompts. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist. Sep 25, 2023 · Hi, @wayliums, I'm helping the LangChain team manage their backlog and am marking this issue as stale. chains import LLMChain from langchain. yaml file by using load_prompt() function. The AI is talkative and provides lots of specific details from its context. pull ("rlm/rag-prompt") Details. Returning structured output from an LLM call. In this example, the create_json_chat_agent function is used to create an agent that uses the ChatOpenAI model and the prompt from hwchase17/react-chat-json. A tag already exists with the provided branch name. from langchain import hub. Prompt values are used to represent different pieces of prompts. Fork 253. History. It showcases how to use and combine LangChain modules for several use cases. prompts module. 1 participant. Contribute to langchain-ai/langchain development by creating an account on GitHub. 20. Sep 11, 2023 · The refine_prompt should be an instance of PromptTemplate, which requires a template string and a list of input variables. Contribute to gkamradt/langchain-tutorials development by creating an account on GitHub. py when initializing the population. from_template("Some template") chain = LLMChain(llm=some_llm, prompt=prompt) Is there an easy way to get the formatt Prompt Engineering Guide - Guides, papers, lecture, and resources for prompt engineering notebooks; LangChain - ⚡ Building applications with LLMs through composability ⚡ ChatLangChain is an implementation of a locally hosted chatbot specifically focused on question answering over the LangChain documentation. 9 from langchain_core. You signed out in another tab or window. page_content: This takes the information from the `document. Labels 9 Milestones 0. "template": "Given an input question, first create a syntactically correct {dialect} query to run, then look at the results of the query and return the answer. The goal of this repository is to be a central resource for sharing and discovering high quality prompts, chains and agents that combine together to form complex LLM applications. The Python-specific portion of LangChain's documentation covers several main modules, each providing examples, how-to guides, reference docs, and conceptual guides. Prompt Versioning ensure deployment stability by selecting specific prompt versions over the 'latest'. You signed in with another tab or window. lanchchain decorators is a layer on top of LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chains. some text (source) 2. from langchain_google_genai import ChatGoogleGenerativeAI,GoogleGenerativeAI. environ['WOLFRAM_ALPHA_APPID'] = 'my_key' from langchain_openai import ChatOpenAI instructions = """ You are an agent, designed to use tools tell me the distance Apr 12, 2023 · Later, supreetkt mentioned using the ChatAnthropic model which supported their use-case. Learn more about Langchain Hub and Portkey. metadata: This takes information from `document. prompt import PROMPT_SUFFIX,MYSQL_PROMPT from langchain import hub from langchain. This is a prompt for retrieval-augmented-generation. js + Next. For more details, you can refer to the ImagePromptTemplate class in the LangChain repository. There are 3 supported file formats for prompts: json, yaml, and python. prompt: The prompt to use. 0. 2- Sigue la guía de estudio. chat = ChatOpenAI() class Colors(BaseModel): colors: List[str] = Field(description="List of colors") parser = PydanticOutputParser(pydantic_object=Colors) format_instructions = parser. This process helps agents or models handle intricate tasks by dividing them into more manageable subtasks. LangChain is a framework for developing applications powered by language models. This includes prompt management, prompt optimization, generic interface for all LLMs, and common utilities for working with LLMs. prompts import PromptTemplate from langchain. First, this pulls information from the document from two sources: 1. utilities import GoogleSerperAPIWrapper search = GoogleSerperAPIWrapper() tools = [Tool(name = "Search", func=search. Example Code You signed in with another tab or window. 21 core[patch]: add InjectedToolArg annotation core[patch]: Fix regression requiring input_variables in few chat prompt templates core[patch]: Fix one unit test for chat prompt template Apr 22, 2024 · from langchain import hub from langchain. run, Given an input question, first create a syntactically correct MS SQL query to run, then look at the results of the query and return the answer to the input question. prompts import PromptTemplate DEFAULT_TEMPLATE = """ The following is a friendly conversation The quality of responses from GPT or other large language models is highly dependent on the quality of messages you send it. Nov 12, 2023 · It uses the load_qa_chain function to create a combine_documents_chain based on the provided chain type and language model. 6- Repite. Sep 8, 2023 · System Info Langchain version: 0. import os. Create a Github App. js Slack app framework, Langchain, openAI and a Pinecone vectorstore to provide LLM generated answers to user questions based on a custom data set. agents import AgentExecutor, create_openai_tools_agent from langchain_experimental. prompt = hub. Doing a bit of digging, it looks like the default prompt - or any prompts created following the guidance here - end up being converted to a single user message, rather than a system message followed by user when it is passed to the OpenAI API. output_parsers import StructuredOutputParser, ResponseSchema from langchain. This repository contains source code for Lang Chain and Prompt Engineering, aimed at providing a user-friendly interface for non-technical users to interact with advanced language models. Star 3. ts - number of thinking styles to sample from thinking_styles. In the OpenAI class, the prompt parameter is expected to be passed as part of the model_kwargs dictionary, not as a separate parameter. 170, Linux-5. 8%. It enables applications that: Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc. The implimentation of unified objectives is based on this paper: Watch the YouTube Tutorial Video. To prevent the {} in the CYPHER_GENERATION_TEMPLATE from being treated as input variables when using LangChain's PromptTemplate, you can escape the curly braces by doubling them. Create a demo of usage in . Please see the below sections for instructions for uploading each format. 1- Realiza un fork o clona este repo en tu pc. os. When using a local path, the image is converted to a data URL. 1. Here's how you can fix this issue: # Instead of this qa = RetrievalQA. It's not trying to compete, just to make using it easier. %pip install --upgrade --quiet pygithub langchain-community. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. 5- Cambia el código de cada archivo y realiza diferentes pruebas. Prompt Versioning: ensure deployment stability by selecting specific prompt versions over the 'latest'. Apr 6, 2023 · Nemunas commented on Apr 6, 2023. A set of LangChain Tutorials from my youtube channel - GitHub - samwit/langchain-tutorials: A set of LangChain Tutorials from my youtube channel. langchain-RAG. There have been contributions from other users sharing similar use cases and suggesting potential solutions. Author. /examples for running and testing your method. p - the problem description. agent_toolkits import create_sql_agent from langchain_community. Jun 13, 2023 · I am also having the same issue. chains import SimpleSequentialChain from langchain_openai import ChatOpenAI from langchain. llm=OpenAI (. Follow the instructions here to create and register a Github app. Apr 3, 2024 · I searched the LangChain documentation with the integrated search. . Prompts: Prompt management, optimization, and serialization. prompts import FewShotPromptTemplate from langchain. See Prompt section below for more on the expected input variables. /hub/your_method_name to config the basic usage this method, a minimal demo in . Runnable PromptTemplate: streamline the process of saving prompts to the hub from the playground and integrating them into runnable chains. A simple starter for a Slack app / chatbot that uses the Bolt. Cannot retrieve latest commit at this time. some text 2. Build real-world AI apps with ChatGPT/GPT-4 and LangChain in Python. Notifications. agent_toolkits. I included a link to the documentation page I am referring to (if applicable). May 15, 1990 · Successfully merging a pull request may close this issue. hwchase17 / langchain-hub Public archive. 4- Ejecuta el archivo y revisa lo que la consola te muestra. 15. Note: This is an unofficial addon to the langchain library. 🔗 Chains: Chains go beyond just a single LLM call, and are sequences of calls (whether to an LLM or a different utility). import os from dotenv import load_dotenv from langchain import hub from langchain_core. Python 0. agents. The app offers two teaching styles: Instructional, which provides step-by-step instructions, and Interactive lessons with questions, which prompts users with questions to Mar 12, 2023 · This repository has been archived by the owner on Apr 3, 2024. serializable import Aug 10, 2023 · However, the current implementation of LLMChain in LangChain chains the prompts before making a call to the language model. pull(" May 19, 2023 · You signed in with another tab or window. 6 KB. As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of updating May 18, 2024 · from langchain. Portkey provides a unified API interface (follows the OpenAI signature) to make API calls through its SDK. Require a PR to merge your branch into main branch. rag_chain. From what I understand, you requested an example of the serialized format of a chat template from the LangChain hub, and I provided a detailed response with examples of serialized chat templates in YAML and Python code, along with links to the relevant files in the LangChain repository. It looks like you opened this issue to discuss passing Document metadata into prompts when using VectorDBQA . 2. Get the prompt to use - you can modify this! Taking inspiration from Hugging Face Hub, LangChainHub is collection of all artifacts useful for working with LangChain primitives such as prompts, chains and agents. Get a prompt from text files positional arguments: PATH Paths to the text files, or stdin if not provided (default: None) options: -h, --help show this help message and exit -V, --version show program's version number and exit -c, --copy Copy the prompt to clipboard (default: False) -e, --edit Edit the prompt and copy manually (default: False 🦜🔗 Build context-aware reasoning applications. output_parsers import StrOutputParser from langchain_core. Returns: A Runnable sequence representing an agent. 2%. 81 KB. agents import Tool, create_react_agent. page_content` and assigns it to a variable named `page_content`. Getting Started with LangChain and Llama 2 in 15 Minutes; Fine-tuning Llama 2 on Your Own Dataset; Deploy LLM to Production on Single GPU; Chat with Multiple PDFs using Llama 2 and LangChain Mar 4, 2024 · Task decomposition is a technique used to break down complex tasks into smaller and simpler steps. Answering complex, multi-step questions with agents. Sources Apr 18, 2023 · Haven't figured it out yet, but what's interesting is that it's providing sources within the answer variable. some text (source) or 1. Langchain’s Prompts Hub is like Github but for prompts. Specifically: Simple chat. You can achieve this by using the RunnableParallel class in LangChain. Here is the modified template: CYPHER_GENERATION_TEMPLATE = """You are an expert Neo4j Developer translating user questions into 🦜🔗 Build context-aware reasoning applications. Lot's of ideas here are totally opinionated. langchain I'm helping the LangChain team manage their backlog and am marking this issue as stale. base import BasePromptTemplate from langchain_core. 6 Open 17 Closed. " Here are some real-world examples for different types of memory using simple code. 🤖. Buffer Memory. prompt import PromptTemplate from langchain_community. prompts. It is useful for chat, QA, or other SPARQL_INTENT_TEMPLATE = """Task: Identify the intent of a prompt and return the appropriate SPARQL query type. This code snippet shows how to create an image prompt using ImagePromptTemplate by specifying an image through a template URL, a direct URL, or a local path. I was trying to fork a prompt template from "wfh/web-voyager" at LangSmith Hub and modify it to fit my own use-case. agents import AgentExecutor from langchain. Jupyter Notebook 99. py. /examples folder. Mar 13, 2024 · I used the GitHub search to find a similar question and didn't find it. Example Code ''' from langchain import hub. It is now read-only. e - number of fitness examples to evaluate over. 272 Python version: 3. *Security warning*: Prefer using `template_format="f-string"` instead of `template_format="jinja2"`, or make You signed in with another tab or window. LANGCHAIN TOOLS. I hope this helps! Let me know if you have any other questions. Xmaster6y clarified that prompts don't need to be sent as chat for Anthropic models and mentioned that Langchain has ChatAnthropic models. tools: Tools this agent has access to. In your case, the template string is the prompt you want to use for summarization, and the input variable is the text you want to summarize. 3- Dentro de cada archivo encontrarás la descripción de lo que hace el archivo con langchain. 79 lines (70 loc) · 2. 2k. agents import load_tools import os os. Issue with current documentation: reduce_prompt = hub. sql_database. base import create_sql_agent Changes since langchain-core==0. some text sources: source 1, source 2, while the source variable within the Based on your requirements, it seems you want to use two different prompts in a single RAG chain. Overview and tutorial of the LangChain Library. You can explore all existing prompts and upload your own by logging in and navigate to the Hub from your admin panel. api_docs: The documentation for a given API. You can pull the prompt to make API calls to your favorite Large Language Models (LLMs) on providers such as OpenAI, Anthropic, Google, etc. Langchain Decorators: a layer on the top of LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chains ; FastAPI + Chroma: An Example Plugin for ChatGPT, Utilizing FastAPI, LangChain and Chroma; AilingBot: Quickly integrate applications built on Langchain into IM such as Slack, WeChat Work, Feishu, DingTalk. 90. The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package). Set up your first LangChain environment; Learn how to initialize and use a language model; Explore basic interactions with the AI; 002-tutorial: Working with prompt templates and RunnableSequence. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis. May 24, 2024 · I searched the LangChain documentation with the integrated search. langchain==0. from_chain_type (. Unless the user specifies in the question a specific number of examples to obtain, query for at most {top_k} results using the TOP clause as per MS SQL. Learn how to load prompts from external files; Understand and implement ChatPromptTemplates from langchain. These modules include: Models: Various model types and model integrations supported by LangChain. Make sure your app has the following repository permissions: Commit statuses (read only) Contents (read and write) Issues (read and write) Oct 31, 2023 · Based on the information available in the repository, you can add custom prompts to the CSV agent by creating a new instance of the PromptTemplate class from the langchain. The template can be formatted using either f-strings (default) or jinja2 syntax. Use the @tool decorator before defining your custom function. tools import PythonREPLTool tools = [PythonREPLTool ()] from langchain_openai import ChatOpenAI instructions = """You are an agent designed to write and execute python code to answer questions. prompts. To achieve what you want, you would need to modify your code to call the format method on each PromptTemplate separately and then pass the result to the language model. Fixed multi input prompt for MapReduceChain imeckr/langchain. This is why you're seeing the UserWarning about prompt being transferred to model_kwargs. Retrieval augmented generation (RAG) with a chain and a vector store. System Info 0. 所以，我们来介绍一个非常强大的第三方开源库： LangChain 。. code-block:: BasePromptTemplate --> PipelinePromptTemplate StringPromptTemplate --> PromptTemplate Args: llm: LLM to use as the agent. Here's an example of how you can do this: from langchain. Code. I used the GitHub search to find a similar question and didn't find it. LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Lang Chain and Prompt Engineering. Prompt classes and functions make constructing and working with prompts easy. Follow their code on GitHub. With LangSmith access: Full read and write permissions. To upload a prompt to the LangChainHub, you must upload 2 files: The prompt. llms import OpenAI llm = OpenAI (model_name = "text-davinci-003") # 告诉他我们生成的内容需要哪些字段，每个字段类型式啥 response_schemas = [ ResponseSchema (name = "bad_string You signed in with another tab or window. \n\nCurrent conversation:\n {history}\nHuman: {input}\nAI:", "template_format": "f-string" } Contribute to hwchase17/langchain-hub development by creating an account on GitHub. 1. Prompt is often constructed from multiple components and prompt values. It's great to see that you've put in the effort to debug and find a solution to the issue you encountered with the example code. /examples folder in . The decorator uses the function name as the tool name by default, but it can be overridden by passing a string as the first argument. mp - number of mutation prompts to sample from mutation_prompts. metadata` and assigns it to variables of the same name. core[patch]: Release 0. Mar 3, 2024 · from langchain. ) Reason: rely on a language model to reason (about how to answer based on provided ValueError: Trying to deserialize something that cannot be deserialized in current version of langchain-core: ('langchain_core', 'prompts', 'image', 'ImagePromptTemplate')"} Description. Example Code LangChain's memory feature helps to maintain the context of ongoing conversations, ensuring the assistant remembers past instructions, like "Remind me to call John in 30 minutes. LangChain provides a standard interface for chains, lots of integrations with other tools . 90 lines (71 loc) · 2. kx aj yr ow lo md on vz bm tu