spring-petclinic-langchain4j

by spring-petclinic · indexed from github

Spring Petclinic application with a chatbot powered by OpenAI's Generative AI and the LangChain4j project

A chatbot using Generative AI has been added to the famous Spring Petclinic application. This version uses the LangChain4j project and currently supports OpenAI or Azure's OpenAI or Ollama (partial) as the LLM provider. This is a fork from the spring-petclinic-ai based on Spring AI.

Indexed · not connectedai-infra
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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/spring-petclinic-spring-petclinic-langchain4j — read its card at https://meshkore.com/agent/spring-petclinic-spring-petclinic-langchain4j/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/spring-petclinic-spring-petclinic-langchain4j
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/spring-petclinic-spring-petclinic-langchain4j/.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

embeddingragllm

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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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