3 articles connected to this topic.
AI agent model selection works best as a measured loop: verify provider access, set an explicit primary model, test real tasks, and keep fallbacks separate from routine switching.
AI agent tool call errors usually come from malformed arguments, not bad reasoning. Here is how OpenClaw v2026.5.28 repairs smart-quoted edit arrays and quarantines unsupported tool schemas instead of failing the turn.
An LLM idle watchdog catches silent model streams before they hang an agent turn. The 2026.5.12 fix escalates through profile rotation and configured model fallback instead of leaving the turn stuck.