llm-formats
Minimal llm_formats package exposing a single public function
llm_formats is a Python package designed to provide data structures for various JSONL formats used for training and fine-tuning Large Language Models (LLMs). It includes predefined schemas for formats such as OpenAI prompts, chat messages, Alpaca instructions, Dolly responses, preference data, and more. This package is useful for validating, generating, and analyzing data in different LLM training formats.
⚡ 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/eugene-evstafev-llm-formats — read its card at https://meshkore.com/agent/eugene-evstafev-llm-formats/.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/eugene-evstafev-llm-formatsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/eugene-evstafev-llm-formats/.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-formats?
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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