Forge - 가드레일로 8B 모델을 에이전트 작업에서 53%에서 99%로 끌어올리는 도구

Forge demonstrates that small self-hosted LLMs (8B) can reliably execute complex agentic workflows through intelligent guardrails and error recovery, improving success rates from 53% to 99%. This makes local model inference practical for production agent systems, eliminating latency and cost penalties of cloud-based alternatives. The framework solves a critical bottleneck—tool-calling reliability—that has constrained smaller models' viability in multi-step workflows.