my-llm-py
Profile-driven async LLM adapter for OpenAI, Anthropic, Gemini and Ollama.
输入接受标准字典或可转为字典的官方 SDK 对象，输出为所选输入协议的标准字典。 标准协议和 Profile 未声明的字段直接跳过，不读取、不校验；已识别开放字典内部数据保留。 Profile 用 Parameter 集中声明字段路径、缺失默认值和翻译阶段，Config 控制代码行为，均支持继承扩展。 字段 None 继承配置；default_value=None 是实际值，已有 None 不会被默认值覆盖；跨协议来回翻译不保证无损。 跨协议转换受目标协议的表达能力限制，详见兼容边界。 新增协议通过 MyCodec.register(codec) 在启动时注册，协议默认值随 Codec 声明； 无需修改公共入口或协议枚举，详见接入指南。 参数路径统一使用 $. 前缀，例如 $.reasoning.effort；非标准请求参数通过 SDK 的 extra_body 等正式扩展入口配置。 完整生成输入和已解析配置统一经过 Codec，Decoder 区分客户端参数、请求参数与本地控制项； 连接配置按实例准备，请求配置按调用准备，Transport 负责官方 SDK 调用和响应关闭。 详细职责见架构文档。
⚡ 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/jjjjstiyyyy-my-llm-py — read its card at https://meshkore.com/agent/jjjjstiyyyy-my-llm-py/.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/jjjjstiyyyy-my-llm-pyFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jjjjstiyyyy-my-llm-py/.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 my-llm-py?
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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