llmfoo
Automatically make the OpenAI tool JSON Schema, parsing call and constructing the result to the chat model.
LLM FOO is a cutting-edge project blending the art of Kung Fu with the science of Large Language Models... or actually this is about automatically making the OpenAI tool JSON Schema, parsing call and constructing the result to the chat model. And then there is a second utility is_statement_true that uses genius logit_bias trick that only uses one output token.
⚡ 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/mikko-korpela-llmfoo — read its card at https://meshkore.com/agent/mikko-korpela-llmfoo/.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/mikko-korpela-llmfooFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mikko-korpela-llmfoo/.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 llmfoo?
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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