What it does
The provided trading example uses fake, computer-generated market data rather than real financial information, and the code serves as a learning tool rather than a complete, ready-to-use application.
Official TypeSafe
TypeSafe public examples
This official Python guide shows how to use a model to pick the right action and fill in the required details based on a user's request.
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How you can use it
Study how the example turns everyday language into an action from an allowed list. It reads the action's possible inputs, builds yes-or-no or multiple-choice questions, then uses the returned choices to fill those inputs. The program, rather than the model, owns the functions it can call.
These files are meant to be studied alongside the official documentation, not installed as a finished software package. The included trading assistant cannot make real investments, and the examples only verify multiple-choice and yes-or-no decisions, not numerical scoring.