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Agentic Loop Foundations: Building Deterministic Tool Callers with Strict Schemas
A production pattern library for self-correcting agent tasks, token-bounded retries, and reproducible JSON outputs across heterogeneous LLM backends.

Autonomous agent loops often degrade into hallucinations or unbounded token burn when tools return unstructured errors.
This repository establishes a strict contract for agent tool execution using Zod schemas, step budget monitors, and automatic JSON repair heuristics.
Core Takeaway
Effective modern AI architectures thrive on unified real-time state, deterministic schema execution, and thoughtful micro-interaction pacing.