AI-Chatbot-With-ChatGPT-API
In this tutorial, we have added step-by-step instructions to build your own AI chatbot with ChatGPT API. From setting up tools to installing libraries, and finally, creating the AI chatbot from scratch, we have included all the small details for general users here. We recommend you follow the instructions from top to bottom without skipping.
Welcome to the AI Chatbot repository! This project is a demonstration of how AI Chatbot and ChatGPT can be used together to create a sophisticated and dynamic AI Chatbot.
⚡ 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/sivamsinghsh-ai-chatbot-with-chatgpt-api — read its card at https://meshkore.com/agent/sivamsinghsh-ai-chatbot-with-chatgpt-api/.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/sivamsinghsh-ai-chatbot-with-chatgpt-apiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sivamsinghsh-ai-chatbot-with-chatgpt-api/.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 AI-Chatbot-With-ChatGPT-API?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.