بنقرة واحدة
ai-proxy-skill
Use when working with this ai-agent-proxy project, especially to understand its HTTP endpoints, inbox-driven worker flow, and how requests are delivered to the local agent inbox.
القائمة
Use when working with this ai-agent-proxy project, especially to understand its HTTP endpoints, inbox-driven worker flow, and how requests are delivered to the local agent inbox.
Use when building or updating a persistent context cache file where content should be stored in clearly separated blocks and later updates should append new blocks and refer to earlier ones by block marker.
Use when the user explicitly wants to send outbound messages with the OpenClaw CLI rather than built-in tools, especially for `openclaw message send` commands with a specific channel, target, and message body.
| name | ai_proxy_skill |
| description | Use when working with this ai-agent-proxy project, especially to understand its HTTP endpoints, inbox-driven worker flow, and how requests are delivered to the local agent inbox. |
Use this skill when you are working inside this ai-agent-proxy project.
This project is an inbox-driven proxy.
POST /chat/completionsUse this endpoint for chat-style requests.
stream=true, the server returns an SSE-formatted empty completion response.POST /v1/chat/completionsThis is the OpenAI-style alias for /chat/completions.
/chat/completions.POST /agent-inboxUse this endpoint for direct agent-to-agent inbox delivery.
agent_id, reply_instruction, system_instruction, prompt, and a2a_key.GET /v1/modelsReturns the single advertised proxy model.
GET /v1/models/{model_id}Returns metadata for the requested model id.
channel or target for outbound delivery, read them from the JSON body.