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Agentic AI engineering

Agent Resilience

Reusable failure-handling components for distributed agent systems.

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.

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