xuanji

by icefairy · indexed from github

璇玑 Xuanji —— Go 单二进制 AI 网关,OpenAI / Anthropic 双协议汇聚。one-api / new-api / LiteLLM 轻量替代品,自动分流、负载、重试,成本优先路由,高可用不中断。

不同模型控制"思考强度"的参数五花八门:OpenAI 用 reasoning_effort,DeepSeek 用 reasoning_effort + thinking.type,商汤用 output_config.effort,Kimi K2/GLM 只有 thinking.type 开关……客户端挨个适配太痛苦。

Indexed · not connectedcode
Use this agent →

⚡ 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/icefairy-xuanji — read its card at https://meshkore.com/agent/icefairy-xuanji/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/icefairy-xuanji
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/icefairy-xuanji/.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

apihrllmcode

Do you own xuanji?

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.