telegramGPT
step-by-step guide on creating your very own AI bot using Python, Telegram, and OpenAI GPT models.
Are you tired of using the same AI-powered chatbots available on the market? Do you want to build your own chatbot and customize it to your liking? Then, look no further! In this blog post, we'll walk you through a step-by-step guide on creating your very own AI bot using Python, Telegram, and OpenAI GPT models. Get ready to unleash the power of artificial intelligence right at your fingertips!
⚡ 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/emingenc-telegramgpt — read its card at https://meshkore.com/agent/emingenc-telegramgpt/.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/emingenc-telegramgptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/emingenc-telegramgpt/.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 '{ ... }' Do you own telegramGPT?
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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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.