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coding-python-rpyc

Implements transparent remote procedure calls and distributed computing in Python using RPyC.

1|Updated Jun 23, 2026
Search Tags:#python#async#distributed computing#ssh#rpc#rpyc#remote procedure call
One-click install
npx skills add https://github.com/bitranox/bitranox-skills --skill coding-python-rpyc-bitranox
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coding-python-rpyc
Source: https://github.com/bitranox/bitranox-skills/tree/main/plugins/bitranox/skills/coding-python-rpyc
Command: npx skills add https://github.com/bitranox/bitranox-skills --skill coding-python-rpyc-bitranox

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rpyc, plumbum, and includes references (resource) components.

What problem does it solve? Building remote procedure calls, distributed services, and remote object proxying in Python requires deep knowledge of RPyC's services, netrefs, async wrappers, security model, and server types, and this Skill provides distilled references and working patterns for all of them. ## Core Features & Use Cases - Service and Server Patterns: Create services with rpyc.Service, exposed_ methods, ThreadedServer, ForkingServer, and registry-based discovery via rpyc.discover(). - Async and Events: Use rpyc.async_(), AsyncResult, rpyc.timed(), and BgServingThread for non-blocking calls and server-to-client callbacks. - Security and Deployment: Configure SSLAuthenticator, restricted() capability wrappers, and zero-deploy servers over SSH with DeployedServer. - Use Case: You need to run tests centrally while operations execute on remote machines; use classic mode with rpyc.classic.connect() to access remote modules, builtins, and hardware transparently. ## Quick Start Ask the assistant to create an RPyC service with a ThreadedServer and connect to it from a client using rpyc.connect.

Frequently Asked Questions about coding-python-rpyc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a remote service with RPyC in Python?▼

Subclass rpyc.Service, prefix remotely accessible methods with exposed_, and start a ThreadedServer with the service class and a port. Clients connect with rpyc.connect(host, port) and call methods through conn.root.

How do I make asynchronous remote calls with rpyc.async_?▼

Wrap a callable netref with rpyc.async_() and store the wrapper in a variable before calling it, since async proxies are cached by weak reference. The call returns an AsyncResult immediately; check .ready, .value, or use .wait() and .add_callback().

Does RPyC support SSL and secure connections?▼

Yes, RPyC supports SSL/TLS through SSLAuthenticator with keyfile and certfile on the server, and rpyc.ssl_connect() on the client. It also integrates with SSH tunnels and zero-deploy via plumbum's SshMachine.

Can RPyC connect Python 2 to Python 3?▼

No, RPyC cannot connect Python 2 to Python 3 interpreters because of incompatible object models and serialization. Python 3.x to 3.y connections work if both sides only use shared types and modules.

When should I not use RPyC for remote calls?▼

Avoid RPyC when you need a REST/HTTP API (use Flask or FastAPI), language-agnostic RPC (use gRPC), or message queuing (use Celery or RabbitMQ). Also never expose it to untrusted Internet clients without SSL or SSH wrapping.

Why do RPyC server callbacks not reach my client?▼

Server callbacks are not processed unless the client serves incoming requests. Start a rpyc.BgServingThread(conn) on the client, or call conn.poll_all() explicitly to process pending callback requests.

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