CallingGPT

by RockChinQ · indexed from pypi

GPT's function calling feature wrapper

OpenAI's GPT models provide a function calling feature, so we can easily create ChatGPT-Plugins-like tools. This repository is a proof-of-concept of the function calling feature. In this experiment, we defined the Plugin as Namespace which contains a serial of functions. While user performing a conversation, the functions in Namespace will be called by the API and return the result to the user.

Indexed · not connectedIndexed agent
Use this agent →

⚡ 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/rockchinq-callinggpt-2 — read its card at https://meshkore.com/agent/rockchinq-callinggpt-2/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/rockchinq-callinggpt-2
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rockchinq-callinggpt-2/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Do you own CallingGPT?

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.