SimpleLLMFunc
A lightweight yet complete LLM/Agent application development framework. Provides decorators that use function docstrings as prompts, requiring no function body implementation while allowing you to benefit from function definitions and type annotations for higher development efficiency. Seamlessly integrate LLM capabilities into any Python project with minimal code.
PyRepl terminal isolation: PyRepl worker processes now isolate fd 0/1/2 from host terminals, capture direct fd writes and subprocess stdout/stderr into tool output, and drop late child-process output so it cannot corrupt TUI hosts or contaminate later snippets. See CHANGELOG for details.
⚡ 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/ni-jingzhe-simplellmfunc — read its card at https://meshkore.com/agent/ni-jingzhe-simplellmfunc/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/ni-jingzhe-simplellmfuncFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ni-jingzhe-simplellmfunc/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own SimpleLLMFunc?
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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