Originally published on TechSaaS Cloud
Self-Hosted LLM Tool Calling: Forge and the Build-vs-Buy Decision
Self-hosted LLM tool calling is easy to demo and hard to operate. The demo shows a model calling a tool, fetching data, and completing a task. Production asks harder questions: what happens when the model emits malformed tool calls, repeats a step, exhausts context, blocks the shared GPU, or touches the wrong business object?
Forge is interesting because it focuses on the reliability layer around tool calling: guardrails, retries, context management, backend adapters, and workflow structure. That is the right conversation for VP Engineering, directors, and founders.
The production question is not "Can we run an agent locally?" The production question is "Can we measure the cost and risk of every successful workflow?"
