Tag
Everything tagged AI Agent Harness, most recent first.
7 entries
Why agent reliability lives in the scaffolding, not the model.
When an agent works in production, we credit the model. When it fails, the cause is almost always in the harness around it: the loop, the tools, the context, the guardrails, the checks. The harness is the part you actually own.
Agents are in production and doing privileged things, but the guardrails did not arrive with them. This PlatformCon talk lays out a Java and Spring Boot pattern that makes an agent quote a versioned tool contract before any tool runs, with a gateway that validates, governs, and audits every call.
A three-layer evaluation framework in Java + LangChain4j for AI-agent trust testing: policy compliance, judge-based answer safety, and tool-trajectory validation, wired into CI as a build-time gate.
Runtime contract gate for agent tools
A runtime gate that evaluates every agent tool call against a versioned contract derived from an approved OpenAPI artifact, blocking or escalating calls when the live tool surface drifts.
Build-time trust tests for LLM agents
A JUnit 5 framework that catches enterprise AI-agent failures before release by turning allowed-tools, grounded-answers, and golden-trajectory expectations into regression tests that run in CI.
Turn any OpenAPI spec into an MCP server
Turns an OpenAPI 3.x specification into a working Model Context Protocol server, exposing the generated tools over Streamable HTTP for any MCP client with no glue code.
An incident-remediation agent behind a security envelope
A self-healing microservices agent that reasons over telemetry, deploy history, and logs via MCP and remediates production incidents behind an RBAC, ACL, OAuth, and human-approval envelope.
