Azure-Language-OpenAI-Conversational-Agent-Accelerator
A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Question Answering (CQA) to dynamically improve a RAG chat experience.
This accelerator template provides users with a code-first example for creating and enhancing chat solutions and agents with deterministic, human-controllable workflows. It is designed to minimize the need for extensive prompt engineering by using a structured workflow to prioritize top questions with exact answers, top intents with deterministic routing, and use LLM to handle long tail topics. These actions help to ensure determinism and consistency. The template also provides flexibility to swap, add, or remove agents/components to tailor to your specific needs.
⚡ 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-azure-language-openai-conversational-agent-accelerator — read its card at https://meshkore.com/agent/azure-samples-azure-language-openai-conversational-agent-accelerator/.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/azure-samples-azure-language-openai-conversational-agent-acceleratorFor 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-azure-language-openai-conversational-agent-accelerator/.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 '{ ... }' Capabilities
Do you own Azure-Language-OpenAI-Conversational-Agent-Accelerator?
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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