fengyun-agent-task
CncertAgent local WSS log cache, offline analysis, submission, and API adapter toolkit.
生产 MongoDB 默认对应比赛 Docker 配置：127.0.0.1:27017、用户 admin、 认证库 admin。生产模型默认切换到 的 qwen3-8B；可通过 LLM_INTERNAL_BASE_URL 和 LLM_INTERNAL_MODEL 覆盖。Mongo 运行在其它主机时， 使用 MONGODB_PRODUCTION_HOST、MONGODB_PRODUCTION_PORT，或直接设置 MONGODB_PRODUCTION_URI。显式 MONGODB_URI、LLM_BASE_URL 始终优先。
⚡ 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/fengyun-ai-agent-fengyun-agent-task — read its card at https://meshkore.com/agent/fengyun-ai-agent-fengyun-agent-task/.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/fengyun-ai-agent-fengyun-agent-taskFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fengyun-ai-agent-fengyun-agent-task/.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 fengyun-agent-task?
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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