cto-new-openai-proxy
🚀 cto.new 免费反代 | OpenAI & Anthropic 兼容 API | GPT-5.4 / GLM-5.1 账号池自动轮询 · JWT 刷新 · Dashboard UI · 批量注册 ｜ Free OpenAI/Anthropic-compatible API proxy with account pool auto-rotation, JWT refresh, bulk registration & real-time dashboard. ⚠️ 不支持 agent 工具调用 / No function calling support.
Batch-register cto.new accounts and expose GPT-5.4 / GLM-5.1 as free OpenAI & Anthropic compatible APIs. 批量注册 cto.new 账号，把 GPT-5.4 / GLM-5.1 免费模型以 OpenAI /v1/chat/completions 和 Anthropic /v1/messages 兼容接口的形式暴露出来。
⚡ 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/1837620622-cto-new-openai-proxy — read its card at https://meshkore.com/agent/1837620622-cto-new-openai-proxy/.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/1837620622-cto-new-openai-proxyFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/1837620622-cto-new-openai-proxy/.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 cto-new-openai-proxy?
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.