math-router

To convert natural language math queries into executable CLI commands, you can use a deterministic router that maps mathematical intents to specific scripts. This ensures accurate argument extraction and command generation for calculations.

Yes, you can calculate derivatives and integrals from text requests by routing the natural language intent to SymPy. The router identifies the mathematical operation and generates the exact command to execute the corresponding SymPy function.

The best way to orchestrate different math libraries for scientific computations is through deterministic intent routing. This mechanism selects the appropriate script, such as SymPy for calculus or Z3 for solving equations, based on the specific request.

Yes, this routing approach supports unit conversions alongside equation solving by mapping intents to the Pint library for conversions and Z3 for equations. It handles diverse mathematical operations across multiple libraries deterministically.

To extract arguments for complex mathematical operations like differentiation, the router analyzes the natural language intent to identify variables and bounds. It then ensures these arguments are accurately passed to the selected CLI command for execution.