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java-ai-agents/agentic-patterns/README.md
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2026-11-06 21:43:16 +05:30

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agentic-patterns

Companion code for Agentic Patterns in Spring AI: Routing, Orchestrator-Workers, Evaluator-Optimizer and Parallelization on ankurm.com. The five workflows from Anthropic's Building effective agents as plain ChatClient code, tested against a scripted ChatModel that records every prompt. No API key, no network call to a model.

mvn test -pl agentic-patterns      # from the repo root; rewrites output/01..13
bash agentic-patterns/scripts/run-all.sh   # the same, plus output/14

Versions: Spring AI spring-ai-client-chat 2.0.2, Spring Boot BOM 4.1.2, JDK 25, JUnit 6.1.3. The parent pom still pins 2.0.1 and 4.1.1 for the other modules; this module overrides both in its own <properties>.

File Role
PromptChain, Router, Parallelizer, Orchestrator, EvaluatorOptimizer One class per pattern, under src/main/java/com/ankurm/agentic/
ScriptedChatModel (test) Rule-based fake ChatModel: scripted replies, recorded prompts, logical start/end ticks
Scenarios, Transcript (test) The shared scripted conversations; writes output/NN-*.txt
*Test One class per pattern, plus CostTest for the call-count table
preview/ScopeProbe.java, scripts/probe-structured-task-scope.sh Standalone probe of StructuredTaskScope on JDK 25 (preview), writes output/14
output/ Captured transcripts quoted in the post

Not covered: a real model's behaviour (the scripted replies prove the control flow, not the quality), streaming, and tool calling inside a step.