agentops

Trusted e-commerce AI after-sales platform — RAG, controlled tools, human confirmation, Java-authoritative writes, and observable workflows.

Policy-as-code (deny-overrides, fail-closed) for AI agent tool calls, in Java

Pandera-style declarative schema validation for record tables, in Java

Validators and a retry-until-valid guard for LLM output, in Java

Token-level streaming, runtime fan-out, and self-consistency voting for Java agent handlers

DeepEval-style graded-score test suites for LLM output, in Java

Checkpoint and rollback for Java agent state

AgentOps for Java: guard-then-evaluate task wrapper, built on guardflow-java + evalflow-java

Exact and semantic response caching for Java LLM tasks

Long-term semantic memory for Java LLM agents: retrieve, inject, extract, resolve

Lightweight LLM call observability for Java: latency, tokens, cost — no OpenTelemetry required