Add batch-llm module: 100,000 synthetic tickets classified by a ChatClient in a Spring Batch 6 chunk step with Resilience4j rate limiting and retry, skip-and-record for malformed JSON, restart after kill -9 in a second JVM, and a per-chunk cost ledger. The model is a deterministic simulated ChatModel; prices are configurable placeholders. No provider called.

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_017ic4b4VQVEJWetTT1dYzyJ

batch-llm/output/01-versions.txt

@@ -0,0 +1,23 @@
+# What is on the classpath and what the builder offers
+
+Spring Boot          4.1.2
+Spring Framework     7.0.10
+Spring Batch (core)  6.0.6
+Spring AI (client)   2.0.2
+Resilience4j         2.4.0
+Java                 25.0.5
+
+Resilience4j config read from application.yml by resilience4j-spring-boot4:
+  ratelimiter 'llm': limitForPeriod=200 refreshPeriod=PT0.1S timeout=PT1M
+  retry 'llm':       maxAttempts=4
+
+ChunkOrientedStepBuilder methods that matter here (javap of spring-batch-core):
+  faultTolerant               []
+  taskExecutor                [org.springframework.core.task.AsyncTaskExecutor]
+  retryPolicy                 [org.springframework.core.retry.RetryPolicy]
+  retry                       [[Ljava.lang.Class;]
+  retryLimit                  [long]
+  skip                        [[Ljava.lang.Class;]
+  skipLimit                   [long]
+  skipListener                [org.springframework.batch.core.listener.SkipListener]
+  processorNonTransactional   []