langchain hub prompt template - Brave Search

blog.langchain.com › langchain-prompt-hub

Announcing LangChain Hub

September 27, 2023 - If you would like to upload a prompt but don't have access to LangSmith fill out this form and we will expedite your access so you can start publishing your prompts. We launched a very early version of LangChain Hub at the beginning of the year as a directory of code and README's with the same goal we have today–make it easier to share and discover prompts for any use-case.

github.com › hwchase17 › langchain-hub › blob › master › prompts › README.md

langchain-hub/prompts/README.md at master · hwchase17/langchain-hub

This provides a high level description of the prompt, usage patterns of the prompt and chains that the prompt is compatible with. For more details, check out langchain-hub/readme_template.

Author hwchase17

Videos

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python.langchain.com › docs › concepts › prompt_templates

Prompt Templates | 🦜️🔗 LangChain

# pip install -qU langchain "langchain[anthropic]" from langchain.agents import create_agent def get_weather(city: str) -> str: """Get weather for a given city.""" return f"It's always sunny in {city}!" agent = create_agent( model="claude-sonnet-4-5-20250929", tools=[get_weather], system_prompt="You are a helpful assistant", ) # Run the agent agent.invoke( {"messages": [{"role": "user", "content": "what is the weather in sf"}]} )

mirascope.com › blog › langchain-prompt-template

A Guide to Prompt Templates in LangChain | Mirascope

June 30, 2025 - For example, you create a prompt template and save each change as a new commit by clicking “Save as.” This creates a version history where each commit is assigned a unique hash number (e.g., 3b929440): You then download and use the prompt by referencing the specific commit hash in your own code: from LangChain import hub obj = hub.pull("langchain-ai/summarization of articles:3b929440")

smith.langchain.com › hub

LangChain Hub - LangSmith

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github.com › hwchase17 › langchain-hub

GitHub - hwchase17/langchain-hub

Taking inspiration from Hugging Face Hub, LangChainHub is collection of all artifacts useful for working with LangChain primitives such as prompts, chains and agents.

Starred by 3.4K users

Forked by 282 users

Languages Python 95.8% | Makefile 4.2%

prompthub.us › blog › prompthub-langchain-integration-guide

PromptHub Blog: PromptHub + LangChain Integration Guide

After running this script, you'll have a fully formatted ChatPromptTemplate with correct variable syntax, ready to be used in your LangChain workflow and sent to an LLM. Now that we’ve retrieved the prompt created the ChatPromptTemplate, all we need to do is send the request to Anthropic, through LangChain.

reddit.com › r/langchain › creating a prompt in langchain hub

r/LangChain on Reddit: Creating a prompt in Langchain hub

August 8, 2024 -

Hey guys, i'm trying to create a prompt in langchain hub from an already existing public prompt by just copying and pasting its content into a new prompt. This is the first prompt I'm trying to create and it seems though I tried to duplicate the original prompt, My prompt is different from the original prompt.
Here's the link to my prompt: https://smith.langchain.com/hub/smtabatabaie/gps
And here's the original prompt: https://smith.langchain.com/hub/smtabatabaie/web-voyager
My prompt has a "ChatOpenAI" whereas the original prompt doesn't have this section. And also my prompt has "scratchpad" as input whereas the original prompt doesn't consider "scratchpad" as an input when I print the prompt in my python script.
Also in my script when I pull and use the original prompt, it works without any problem. But when i pull and use my prompt, it shows me the following error about hitting the maximum context length:

"openai.BadRequestError: Error code: 400 - {'error': {'message': "This model's maximum context length is 128000 tokens. However, your messages resulted in 473683 tokens. Please reduce the length of the messages.", 'type': 'invalid_request_error', 'param': 'messages', 'code': 'context_length_exceeded'}}"

Would really appreciate if you have any idea what's causing this.
Thanks very much.

It looks like the second one was created as a "structured" prompt that binds to a tool calling model. Could you try recreating it as a regular Chat Prompt? Will have the LangSmith team look into this and see if we can improve this workflow! Out of curiosity, were you able to fork the original prompt and get an equivalent one? I think the linked original prompt is private or nonexistent.

medium.com › thoughts-on-machine-learning › langchain-hub-10-prompts-you-should-definitely-use-a9afad6276de

LangChain Hub: 3 Prompts You Should Definitely Use | by FS Ndzomga | Thoughts on Machine Learning | Medium

September 19, 2023 - In this article, I will present three prompts from the hub that I find particularly interesting. The Assumption Checker Prompt serves as a valuable tool for dissecting the underlying suppositions in a user’s statements, offering alternative queries aimed at verifying the validity of those claims.

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pingcap.com › home › articles › steps to get started with langchain prompt templates

Steps to Get Started with LangChain Prompt Templates

December 12, 2024 - Learn how to get started with LangChain Prompt Templates. This guide covers setup, creating your first template, and advanced customization tips.

blog.langchain.com › langchainhub

August 18, 2023 - We have seeded the Hub with a collection of artifacts that are used in the core library, but we hope it quickly becomes filled with prompts, chains, and agents that are NOT in the core library. Since we are using GitHub to organize this Hub, adding artifacts can best be done in one of two ways: Create a fork and then open a PR against the repo. Create an issue on the repo with details of the artifact you would like to add. Today, LangChainHub contains all of the prompts available in the main LangChain Python library.