Proxy remote Python objects as netrefs for symmetric RPyC calls.
npx skills add https://github.com/bitranox/bx_skills --skill bx-rpyc
Please help me install this Agent Skill. Skill: bx-rpyc Source: https://github.com/bitranox/bx_skills/tree/main/src/bx_skills/catalog_skills/bx-rpyc Command: npx skills add https://github.com/bitranox/bx_skills --skill bx-rpyc
RPyC enables transparent, symmetric remote procedure calls between Python processes, allowing remote object proxies (netrefs) to be used as if they were local.
Connect to a remote host with rpyc.connect and begin calling exposed methods.
High-intent search queries and answers about installing and using this skill.
Remote procedure calls between Python processes are enabled through transparent, symmetric connections. You can connect to a remote host and call exposed methods directly, proxying remote objects as netrefs for seamless cross-machine interaction as if they were local.
A netref is a transparent proxy for a remote Python object. It allows you to interact with remote objects across machines seamlessly, handling the underlying network communication so the remote object behaves exactly like a local one.
Non-blocking remote calls for distributed computing are executed using the async_() method, which returns an AsyncResult object. This allows your client workflow to continue running while the remote procedure processes the request concurrently.
SSL or SSH security layers are optional but recommended to ensure safe, authorized access during remote administration. You should apply these security layers to protect the client connection and the server exposing its Service members.
You expose specific methods by setting up a server with a Service class that defines exposed_ members or a similar access policy. This selective exposure ensures the compatible client connection can only orchestrate explicitly authorized attributes and methods.
Remote procedure calls are fully applicable for testing and workflow automation across machines. The symmetric connection allows one host to seamlessly orchestrate or inspect code on another, making it ideal for automated cross-machine workflows.
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