ai-imager
This is a teaching material inspired by the Microsoft's challenge project about adding image analysis and generation capabilities to an application.
The user interface is rudimentary to keep things simple. The Analyze button will show an image and a JSON formatted description of that image as received from the Azure Computer Vision service. The Generate button will produce an image based upon the given prompt using the public OpenAI service (see the screenshot below). If the application detects that not all secrets were provided as environment variables, then it will simply print a short message at the screen. A new version will need to be deployed having all these secrets specified.
⚡ 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/evarga-ai-imager — read its card at https://meshkore.com/agent/evarga-ai-imager/.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/evarga-ai-imagerFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/evarga-ai-imager/.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-imager?
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.