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    Enables AI assistants to solve linear, nonlinear, and integer optimization models with a locally installed LINGO 11 solver and read the results back as structured data — status, objective, variable values, reduced costs, row slacks, and dual prices. It also runs arbitrary LINGO command-window analyses, reports the detected installation and license status, and lists the bundled sample models, correctly flagging infeasible or unbounded models instead of inventing an optimum.
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    MIT