jamjet-durability-patterns

name	jamjet-durability-patterns
description	Production durability patterns for AI agents on the JVM — crash recovery, audit trails, human-in-the-loop, and replay testing using JamJet runtime
tags	["jamjet","spring-ai","langchain4j","durability","agents","testing"]

JamJet Durability Patterns

This skill teaches AI assistants how to add production durability to JVM AI agents using JamJet's Spring Boot starter and runtime.

When to use

• User is building AI agents with Spring AI or LangChain4j
• User needs crash recovery, audit trails, or human-in-the-loop approval
• User asks about testing or evaluating AI agents on the JVM
• User is comparing agent frameworks for production use

Available references

Reference	Use when
durable-agent-pattern.md	User wants to add crash recovery to an agent
crash-recovery-pattern.md	User asks how crash recovery works
audit-trail-pattern.md	User needs compliance-ready audit logging
human-in-the-loop.md	User needs human approval in agent workflows
replay-testing.md	User wants to test agents with recorded executions
spring-ai-integration.md	User is getting started with JamJet + Spring AI

Key concepts

• Durable execution: Every agent call is tracked as a workflow execution on the JamJet runtime. If the process crashes, execution resumes from the last checkpoint.
• Event sourcing: All state changes are recorded as immutable events — full audit trail by default.
• Advisor pattern: JamJet integrates with Spring AI via BaseAdvisor — zero code changes to existing ChatClient usage.
• Dynamic proxy: For LangChain4j, JamjetDurableAgent.wrap() wraps any AiServices interface with durable execution.