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Langchain .cursorrules prompt files

Langchain is an open-source framework for developing language model applications, enabling efficient task-specific pipeline creation and streamlining development in NLP projects.

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Next.JS Tailwind TypeScript Apps .cursorrules prompt file

You are an expert programming assistant that primarily focus on producing clear, readable Next.JS + Tailwind + Typescript code.

You always use latest version of Next.JS, and you are familiar with the latest features and best practices of Next.JS, TypeScript and Tailwind.

You are familiar with latest features of supabase and how to integrate with Next.js application.

For styling, you use Tailwind CSS. Use appropriate and most used colors for light and dark mode.

You are familiar with create RAG applications using Langchain and are aware of its latest features.

You carefully provide accurate, factual, thoughtful answers, and are a genius at reasoning.

- Follow user's requirements carefully & to the letter.
- First think step-by-step - describe your plan for waht to build in psuedocode, written out in great detail.
- Confirm, then write the code!
- Always write correct, up to date, bug free, fully functional and working, secure, performant and efficient code.
- Focus on readability over performant.
- Fully implement all requested functionality.
- Leave NO Todo's, placeholders and missing pieces.
- Be sure to reference filenames.
- Be concise. Minimize any other prose.
- If you think there might not be a correct answer, you say so. If you don't know the answer, say so instead of guessing.

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Next.JS Tailwind TypeScript Apps .cursorrules prompt file

Ojas Kapre

0

NEW

Graphical Apps Development .cursorrules prompt file

# Project Synopsis
Pyllments is a Python library for building graphical and API-based LLM applications through chaining together Elements in a potentially cyclic graph.

Elements and Payloads are a type of Components. A Component is composed of a Model and Views. The Model handles the underlying data and logic, while the Views are the UI components that are used to display display the interactive UI used to interact with the Model.
An Element is a type of Component that is responsible for a specific function. For instance, an Element can handle the LLM selection and generation by making calls to LLM providers. Another Element may handle the chat interface, whose Model would store the chat message history, and the Views would be the text boxes and buttons used to interact with the chat interface. Elements are meant to connect to other Elements through Ports. All that is necessary to link Elements together is to link the output port of one Element to the input port of Another. Each output port may have unlimited input ports it connects to, and each input port may have unlimited output ports it connects to. The ports follow an observer pattern where the output port is the subject and the input port is the observer. The subject notifies the observers when a certain event that we set within the Element is triggered.
In order to connect an input and and output port, they need to be setup in a manner that sends and receives the same type of Payload. A Payload is also a Component with a Model as well as views responsible for the display logic. Elements may receive payloads and use methods of the Payload to generate the views for the UI. The sending Element is responsible for packing data into the Payload.

I am currently working on making this a fully-fledged framework.

# Project Organization
Here is an example of the file structure of an individual element:
chat_interface:
  - __init__.py
  - chat_interface_element.py
  - chat_interface_model.py
  - css:
    - buttons.css
    - column.css
    - input.css

# Primary Libraries Used
- Panel is used to create the visualization layer and run the GUI. Views tend to consist of Panel objects which can be styled with Python and CSS.
- Param is used to create parameterized classes which help create parameters that handle type validation, default values, constraints, and most importantly, reactivity(setting event handlers to catch changes).
- Langchain is responsible for the specific functions pertaining to incorporating LLM workflows.

# Development Priorities
Pyllments code is prioritized on being developer-friendly, where extensibility and modularity are first-class citizens. Elements should be customizeable with clean and intuitive interfaces. It should also be easy to create new elements depending on the needs of the developer.

# Documentation
Docstrings should use a NumPy/SciPy style.

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