TokenCast: Predicting Token Usage During LLM Agent Execution
TokenCast forecasts LLM agent token use, reducing error and token spend with low overhead.
TokenCast forecasts LLM agent token use, reducing error and token spend with low overhead.
Choose 2026 agentic AI frameworks for production with a seven-step decision tree covering state, tools, guardrails, evaluation, cost, and deployment.
Benchmark averages hide a serious reliability problem in LLM agents: a GPT-4.1 ReAct agent scoring 77.4% average success (Mean@5) passed all five repeated runs on only 53% of tasks — a 24.4-point cons…