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Building an Advanced Agentic Harness

The post upgrades a simple LLM loop into a production-grade agent harness by composing typed tools, a dependency graph, tiered memory, verification layers, budgeting, and a thin orchestrator.

WHY IT MATTERS

Engineers building LLM-driven agents need more than a single call; they must handle invalid tool arguments, uncontrolled context growth, silent failures, and cost overruns. The described primitives give a concrete, testable way to add validation, parallelism, memory management, correctness checks, and budget limits without locking into a specific vendor. By keeping the orchestrator thin and the LLM interface pluggable, the system stays debuggable, reproducible, and portable.

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The three things worth knowing

01

Typed tools use schema validation to stop the model from producing malformed arguments.

02

A plan DAG and multi-tier memory with a retrieval budget enable parallel execution while keeping the context window in check.

03

A verification hierarchy, role separation (Planner, Worker, Critic), and budgeting enforce correctness and cost control, all wrapped in a minimal orchestrator.

THE CLUSTER

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