SpringAI-ai-chat
使用SpringAI+阿里云 OpenAI 聊天模型开发的四个小功能，对应AI技术开发的四种开发框架： 1.聊天机器人 2.哄哄模拟器（纯Prompt问答） 3.智能客服机器人（Agent + Function Calling） 4.ChatPDF（RAG）
请在 application.yml 中配置你的阿里云 API Key 和模型相关参数： ```yml spring: application: name: spring-ai-chat ai: spring: application: name: spring-ai-chat ai: ollama: base-url: # ollama服务地址， 这是默认值， chat: model: deepseek-r1:7b # 需要更改为自己的模型名称 options: temperature: 0.8 # 模型温度，影响模型生成结果的随机性，越小越稳定 openai: base-url: {引用的大模型url：如阿里百炼： api-key: {自己的API-key} chat: options: model: {使用的模型名称} embedding: options: model: {向量模型名称} #注意：本项目提供的向量数据库为SpringAI自带的SimpleVectorStore数据库，如需更换为其他数据库，须自行配置
⚡ 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/zzyid-springai-ai-chat — read its card at https://meshkore.com/agent/zzyid-springai-ai-chat/.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/zzyid-springai-ai-chatFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zzyid-springai-ai-chat/.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 SpringAI-ai-chat?
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.