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Model & Intelligence controls the worker’s core thinking and runtime capacity.

LLM Model

The default language model used by the worker. Models vary by provider, speed, cost, and reasoning quality. The selector displays a cost indicator such as $, $$, $$$, or $$$$. Use lower-cost models for routine work and stronger models for complex analysis, drafting, or planning.

Reasoning Effort

Controls how much reasoning the model should apply before responding or acting. Higher reasoning effort can increase token usage and processing time.

Infrastructure Size

Controls the worker’s instance size and concurrency budget. Infrastructure size contributes to the effective hourly rate shown in Billing.
Start with the smallest instance that fits the expected usage, then increase size when the worker is shared more broadly or needs more concurrent conversations.