llmatch-validate

by llmatch-validate · indexed from pypi

A new package designed to process and validate user inputs using advanced language models, ensuring structured and consistent responses. This package leverages the capabilities of llmatch-messages to

A Python package for processing and validating user inputs using advanced language models, ensuring structured and consistent responses. Built on top of llmatch-messages, this package extracts and validates key information from text inputs, making it ideal for applications requiring structured data extraction, format validation, or response consistency.

Indexed · not connectedai-infra
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/llmatch-validate-llmatch-validate — read its card at https://meshkore.com/agent/llmatch-validate-llmatch-validate/.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/llmatch-validate-llmatch-validate
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/llmatch-validate-llmatch-validate/.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

llmrag

Do you own llmatch-validate?

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.