Summary
Agent Resilience packages a circuit breaker, a Redis-backed dead-letter queue, and an offline MQTT buffer for agent and service workloads that cannot assume every dependency is available.
Role and scope
I designed the package interfaces, implemented the failure modes, wrote the tests and usage examples, configured packaging and CI, and published v0.1.0.
Problem and constraints
Distributed agents need predictable behavior when an API fails repeatedly, a broker is offline, or a message cannot be processed immediately.
Architecture
The components remain independent and composable. The circuit breaker controls repeated calls, the dead-letter queue retains failed work in Redis, and the MQTT buffer stores outbound messages until connectivity returns.
Decisions and trade-offs
The package favors explicit state and small integration surfaces. It provides building blocks rather than imposing an agent framework or hiding recovery behind global process state.
Security context
This project demonstrates reliability engineering for agent infrastructure. It is not presented as a security audit or as proof that an integrated application is secure.
Testing and verification
The public release includes automated tests, package builds, and CI across the supported Python versions.
Public results
Version v0.1.0 is publicly released with documented installation and examples for each resilience component.
Resources and links
The source repository, release, package metadata, tests, and CI configuration are public.
Scope and current status
These are integration components, not a complete agent platform. Production users must select persistence, retry, monitoring, and operational policies for their own environment.