llm-energy-lab
Web application for benchmarking and comparing LLM behaviour, energy and emissions on cloud and bare metal under different inference configs, middleware scaffolds and post-training implementations
It is designed to surface the impacts of LLM middleware scaffolds and configurations on LLM's raw behaviours and energy footprint. On linux bare metal it measures energy consumption per 1000 energy-weighted tokens (e-tokens), and n run live hardware tests via RAPL. On cloud it applies rigorous benchmark estimates to compare energy profiles across models, prompts, LLM configurations and middleware context-injections.
⚡ 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/adora-foundation-llm-energy-lab — read its card at https://meshkore.com/agent/adora-foundation-llm-energy-lab/.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/adora-foundation-llm-energy-labFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/adora-foundation-llm-energy-lab/.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-energy-lab?
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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