function-python-ai-openai-chatgpt
This sample shows how to take a ChatGPT prompt as HTTP Get or Post input, calculates the completions using OpenAI ChatGPT service, all hosted in an Azure Function.
This sample shows simple ways to interact with Azure OpenAI & GPT-4 model to build an interactive using Azure Functions Azure Open AI Triggers and Bindings extension. You can issue simple prompts and receive completions using the ask function, and you can send messages and perform a stateful session with a friendly ChatBot using the chats function. The app deploys easily to Azure Functions Flex Consumption hosting plan using azd up.
⚡ 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/azure-samples-function-python-ai-openai-chatgpt — read its card at https://meshkore.com/agent/azure-samples-function-python-ai-openai-chatgpt/.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/azure-samples-function-python-ai-openai-chatgptFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/azure-samples-function-python-ai-openai-chatgpt/.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
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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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