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The agent harness is implemented as a provider-agnostic state machine with three operations: observe, infer, and act. The agent maintains a trajectory, an ordered sequence of observations and actions, that grows over the course of an episode. At each step, observe appends a new observation (a tool result or the initial prompt) to the trajectory. Infer passes the trajectory through a pluggable inference model and returns the next action (one or more tool calls, or a final text response). act records the action in the trajectory, executes any tool calls, and returns the resulting observation. The loop terminates when the model produces a text-only response with no tool calls, or when the trajectory exceeds a maximum length.
。OpenClaw对此有专业解读
Два крупных судна приостановили транзит через Ормузский пролив14:46,这一点在Line下载中也有详细论述
Apple's 11-inch iPad (A16 chip, WiFi, 128GB storage)
builtin:tclline