Langchain hub prompt not working If you would like to upload a prompt but don't have access to LangSmith fill out this form and we will expedite 🤖. Get an API key for your Personal organization if you have not yet. prompts import PromptTemplate bnb_config = BitsAndBytesConfig( load_in_4bit=True, # 4 bit quantization bnb_4bit_quant_type="nf4", # For I have not found any documentation for prompt caching in the langchain documentation. chat import ChatPromptTemplate prompt = ChatPromptTemplate. fromLLM method in the LangChainJS framework. However, it seems like the truncate_word function is not correctly truncating the SQL command output to the specified max_string_length. If it's not, there might be an issue with the URL or your internet connection. If you want to customize the prompts used in the 🤖. If the URL is accessible but the size of the loaded documents is still zero, it could be that the documents at the URL are not in a format that the RecursiveUrlLoader can handle. (Soon, we'll be adding other artifacts like chains and agents). Checked other resources I added a very descriptive title to this question. Do NOT skip this step. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Now I want to add my own system prompt, so I've forked the above, and edited the system prompt. agents import create_react from langchain_google_genai import ChatGoogleGenerativeAI from langchain_core. encoding: Encoding of the file. One possibility could be that the conversation history is exceeding the maximum token limit, which is 12000 I hope this helps! If you have more information or if there's a specific method where the "prompt" parameter is used that you'd like me to look into, please let me know! Sources. If you are pulling a prompt from the LangChain Prompt Hub, try The issue you're encountering with the duplicated prompt causing a context length error is likely due to the additional "ChatOpenAI" section and the "scratchpad" input in your prompt. def load_prompt (path: Union [str, Path], encoding: Optional [str] = None)-> BasePromptTemplate: """Unified method for loading a prompt from LangChainHub or local fs. llm_router import LLMRouterChain This setup uses Quart's Response and stream_with_context to yield data chunks as they're generated by the model, allowing for real-time streaming of chat responses. router. langgraph tool calls not working #720. I would recommend creating an issue in the LangChain repository detailing this problem so that the maintainers can investigate and potentially fix this 🤖. Here is the code : def process_user_input(user_input): create_db() in Today, we're excited to launch LangChain Hub–a home for uploading, browsing, pulling, and managing your prompts. Specifically, the QA generator prompt. This guide will continue from the hub quickstart, using the Python or TypeScript SDK to interact with the hub instead of the Playground UI. I am sure that this is a b Step-by-step guides that cover key tasks and operations for doing prompt engineering LangSmith. This template is designed to identify assumptions in a given statement and suggest Recently, the LangChain Team launched the LangChain Hub, a platform that enables us to upload, browse, retrieve, and manage our prompts. The reason is how the prompts are treated internally by Langchain. llms import ChatOpenAI template = """You are a customer service representative working for Amazon. Discover, share, and version control prompts in the Prompt Hub. Verify that tune_prompt, full_prompt, and metadata_prompt are set up properly. llm import LLMChain from langchain. agents import initialize_agent, AgentType from langchain. lastrei opened this issue Jun 20, 2024 · 13 comments Closed response_metadata={' token_usage ': {' completion_tokens ': 103 Creating effective prompts for LangChain Hub involves understanding the nuances of different models and their input and output schemas. If someone wants me to deepen the explanation, please let me know. ) to the database. from_template ("tell . Hide child comments as well If the status code is 200, it means the URL is accessible. The ConversationBufferMemory might not be returning the expected response due to a variety of reasons. prompts import ChatPromptTemplate,MessagesPlaceholder from langchain. These I was trying to follow the quickstart tutorial for agents for Langchain: https://js. RamishSiddiqui opened this issue Aug 22, 2023 · 5 comments Labels. I've tested using: My script work fine. Ensure all processing components in your chain can handle streaming for this to work effectively. chains import create_history_aware_retriever, create_retrieval_chain from I searched the LangGraph/LangChain documentation with the integrated search. You are having conversations with customers. prompts import PromptTemplate from langchain. StructuredTool, tool from langchain import hub from langchain_core. What's cooking on your end? Based on the information you've provided and the context I found, it seems like the partial_variables is not working with I've been working with LangChain Hub and am familiar with pushing and pulling custom prompts. Issue: <RetrievalQA. We are working on adding support for more! If you have a specific request, please join the hub-feedback discord channel and let us know! Can I upload a prompt to the hub from a LangSmith Trace? Coming soon! Can LangChain Hub do ____? Maybe, and we'd love to hear from you! Please join the hub ReAct Agent Not Working With Huggingface Model When Using create_react_agent #18820. Perhaps more importantly, OpaquePrompts leverages the power 🤖. Invoke the Agent and Observe Outputs: Use the agent_executor to run a test input This change should ensure that the load method only attempts to translate an English transcript if the specified language is not English, which might resolve the issue you're experiencing. I followed the process but faced Here you'll find all of the publicly listed prompts in the LangChain Hub. 💡Explore the Hub here LangChain Hub is built into LangSmith (more on that below) so there are 2 ways to start exploring LangChain MultiRouteChain not working as expected #9600. . This is why the Hub currently only supports LangChain prompt objects. DO NOT make any DML statements (INSERT, UPDATE, DELETE, DROP etc. For more detailed guidance, consider checking LangChain's documentation or source code, especially regarding OpaquePrompts is a service that enables applications to leverage the power of language models without compromising user privacy. Defaults to None. I searched the LangChain documentation with the integrated search. Raises: RuntimeError: If the path is a Lang Chain Hub path. memory import ConversationBufferMemory from langchain. Returns: A PromptTemplate object. The official documentation highlights the importance of tailoring prompts to the specific model type you are working with, as different models have varying optimal prompting strategies. Based on the information you've provided, it seems like you're trying to combine the RAG model and Function Calling feature of OpenAI in LangChain for a chatbot that can handle follow-up questions and manage multiple arguments in the {context} part of the prompt without Checked other resources I added a very descriptive title to this issue. """ if isinstance (path, str) and path Prompt Hub. chains. I am trying to implement prompt caching in my rag system. You can also create custom prompts with the PromptTemplate class by langchain. If you are pulling a prompt from the LangChain Prompt Hub, try pulling and logging it or running it in isolation with a sample input to confirm that it is what you expect. I'm here to help you squash bugs, answer your questions, and get you up to speed on contributing to LangChain. What is LangChain Hub? 📄️ Developer Setup. This newly launched LangChain Hub simplifies prompt from langchain. However, I'm facing an issue when testing prompts that involve OpenAI's function calls. Please note that the _load_map_reduce_chain function does not take a prompt argument. You can fork prompts to your personal organization, view the prompt's details, and run Based on the error message you provided, it seems like the OutputParserException is being raised because the output from your custom LLM is not being correctly parsed by the Step-by-step guides that cover key tasks and operations for doing prompt engineering LangSmith. Designing effective LangChain YAML prompts requires a deep understanding of both the LangChain framework and the specific language model you are working with. Don't worry, I'm here to guide you every step of the way. Please note that this is just a potential solution based on the information provided and the current implementation of the YoutubeLoader class in LangChain. com/hub to start exploring. The hub will not work with your non-personal organization's api key! from langchain import hub from langchain. 🤖. This could be a potential bug in the LangChain framework. Closed 5 tasks done. Hey there @hasansustcse13!Good to see you back around these parts. 📄️ Quick Start. Instead, it uses the default implementation of the stream method provided by the Runnable base class, which calls the invoke method. Hey @Rakin061, great to see you back!Hope everything's been going well on your end. To start you should ALWAYS look at the tables in the database to see what you can query. LangChain Hub is continuously evolving, and the development team is working on introducing several new features. Hello @aviramroi! 🙋‍♂️ I'm Dosu, a friendly bot here to assist you while our human maintainers are away. prompts import PromptTemplate from langchain. dcaputo-harmoni opened this issue Mar 8, 2024 · 2 comments Closed initialize_agent from langchain. I've also been using the Prompt Playground for testing by clicking the 'Try it' button located in the top-right corner. If you try a different chain you may get it working. from_chain_type with Issue you'd like to raise. Check the Prompt Template: Ensure your prompt templates are correctly defined with placeholders for inputs. prompts. Create a prompt; Update a prompt; Manage prompts programmatically; LangChain Hub; Playground Quickly iterate on prompts and models in the LangSmith Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. prompts import PromptTemplate, MessagesPlaceholder from langchain. I tried to work on SQL cutsom prompt, but it didn't work and is still giving the wrong sql queries . You can search for prompts by name, handle, use cases, descriptions, or models. Instead, it takes question_prompt, combine_prompt, and collapse_prompt arguments. Each time a prompt is committed, a new version is created, providing a clear history of changes. I understand your issue with the RunnableLambda not supporting streaming in the LangChain framework. So I'm trying to use Langsmith Hub for my prompts. Try viewing the inputs into your prompt template using LangSmith or log statements to confirm they appear as expected. chains import ConversationChain from langchain. I used the GitHub search to find a similar question and didn't find it. Notes: OP questions edited lightly for clarity. 😊. Still learning LangChain here myself, but I will share the answers I've come up with in my own search. Based on the code you've provided, it seems like you're trying to use a custom prompt for the ConversationalRetrievalQAChain. Args: path: Path to the prompt file. com/docs/integrations/tools/tavily_search#usage) in Langchain, you will Head directly to https://smith. These include support for For debugging your prompt templates in agent_executor, you can follow these steps:. It's possible that Structured Custom Tools not working with the react agent. Create a prompt; Update a When trying to run your first agent (https://js. Following this, the code pulls the “Assumption Checker” prompt template from LangChain Hub using hub. This is due to the RunnableLambda class not overriding the stream method from the Runnable base class. output_parsers import StrOutputParser from langchain_core. However, you're encountering an issue where the chain displays a default message instead of the custom prompt you've provided. com/docs/modules/agents/quick_start. YAML, a human-readable data serialization standard, is used within LangChain to define prompts, making it crucial for developers to structure these prompts correctly for optimal performance. pull(). langchain. _models import ChatOpenAI from langchain. Prompt hub Organize and manage prompts in LangSmith to streamline your LLM development workflow. LangChain Hub supports prompt versioning, allowing users to access previous versions of prompts. Designed for composability and ease of integration into existing applications and services, OpaquePrompts is consumable via a simple Python library as well as through LangChain. There seems to be only one post on twitter regarding prompt caching in langchain. Who can help? You are a knowledgeable AI assistant specializing in extracting Try viewing the inputs into your prompt template using LangSmith or log statements to confirm they appear as expected. eufzcjjp jpu ntgeskb qsww awat fcew pdgy cdvjurg hwttc rtrv