clean-html-for-llm

by Shubham Raj · indexed from pypi

A library for cleaning HTML content by removing specified tags and attributes.

This library provides a method to clean HTML content by removing specified tags and attributes while keeping specified attributes. It is particularly useful for preprocessing HTML data to remove noisy tags, making it easier for language models (LLMs) to understand the HTML and generate accurate responses. This is helpful if you are querying LLMs with your HTML data.

Indexed · not connectedcontent
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/shubham-raj-clean-html-for-llm — read its card at https://meshkore.com/agent/shubham-raj-clean-html-for-llm/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/shubham-raj-clean-html-for-llm
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shubham-raj-clean-html-for-llm/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llm

Do you own clean-html-for-llm?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.