LLM Tool Calling in Go: A ReAct-Style Agent Loop with Guardrails and Cost Control
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Most of my agent projects in Go share one piece of code: the loop. The model looks at the conversation, decides to call a tool or answer, the program runs the tool, feeds the result back, and repeats. That's the ReAct pattern (reason, act, observe) in its practical form. I've built this loop severa…
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- 2026-10-29 06:30 · DEV Community — AI
LLM Tool Calling in Go: A ReAct-Style Agent Loop with Guardrails and Cost Control