12 articles
A practical guide to building a production-grade LLM Tool Contract Testing pipeline covering selection, parameter, execution, return, and behavior contracts. Learn how to use schema diff matrices, golden conversation replay, sandbox execution, and release gates to prevent agent regressions during tool upgrades.
A practical guide to caching external tool results for LLM agents, covering idempotent key design, TTL semantics, event-driven invalidation, state isolation, audit replay, and a pre-launch checklist to reduce API costs and latency while avoiding cache pollution and cross-tenant leaks.
A deep dive into production-grade Computer-use Agent for web tasks, covering screenshot loops, action replay, DOM assertions, failure recovery, human handoff, and security auditing to reduce misclicks and irreproducible issues, building an observable and recoverable browser automation system.
A deep dive into production-grade sandbox runtimes for coding agents, covering filesystem boundaries, network allowlists, sensitive file isolation, approval escalation, container execution planes, audit trails, and a go-live checklist for secure LLM agent deployment.
This article explains how to transform long-running LLM Agent tasks from one-shot scripts into recoverable workflows, covering checkpoints, state machines, human-in-the-loop interrupts, retries, timeouts, idempotent side effects, and a production readiness checklist.
A systematic guide to contract testing for LLM Agent tool calls, covering function schema versioning, compatibility rules, contract case design, replay testing, CI gating, and release checklists to help engineering teams surface schema evolution risks early.
A systematic guide to caching tool call results in LLM agents, covering cache key design, TTL, idempotency, invalidation, observability, and production checklists to reduce external API costs and tail latency while maintaining accuracy.
A systematic guide to securing LLM Agent tool calls against Prompt Injection, Tool Poisoning, and privilege escalation. Covers trust boundaries, permission boundaries, and execution boundaries with practical implementations including policy gates, human approval, sandboxing, and full-stack monitoring.
Context engineering isn't about cramming data into a window. It's about dynamically selecting instructions, memory, tool results, and retrieval chunks around a task goal, keeping agents reliable, controllable, and cost-effective in long-running tasks.
A systematic breakdown of MCP tool poisoning and indirect prompt injection risks, covering a five-layer defense architecture from tool registration, least privilege, parameter auditing, content isolation to runtime interception, with a go-live checklist for teams integrating external APIs, databases, and enterprise systems.
From short-term sessions to long-term memory, systematically deconstruct the write, manage, read, forget, and evaluate mechanisms for LLM Agents. Build a production-ready memory system that avoids the pitfalls of an uncontrollable vector store.
MCP standardizes LLM-tool connections but amplifies risks in permissions, identity, audit, and prompt injection. This post presents a practical security governance framework covering protocol boundaries, authorization models, execution isolation, and deployment checks.