llm-helpers
A helper package to work with LLMs
The llm_helpers package provides utilities for interacting with language learning models (LLMs), including generating categories from text using recursrive calls to services like Azure's version of OpenAI. This package simplifies the process of sending requests to and interpreting responses from these models for large data which may not fit in the context of the target model.
⚡ 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/sonny-laskar-llm-helpers — read its card at https://meshkore.com/agent/sonny-laskar-llm-helpers/.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.
https://meshkore.com/agent/sonny-laskar-llm-helpersFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sonny-laskar-llm-helpers/.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
Do you own llm-helpers?
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.
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