Struct langchain_rust::tools::Wolfram

pub struct Wolfram { /* private fields */ }

When being used within agents GPT4 is recommended

Implementations

impl Wolfram

pub fn new(app_id: String) -> Self

pub fn with_excludes<S: AsRef<str>>(self, exclude_pods: &[S]) -> Self

pub fn with_app_id<S: AsRef<str>>(self, app_id: S) -> Self

Trait Implementations

impl Default for Wolfram

fn default() -> Wolfram

Returns the “default value” for a type.

impl Tool for Wolfram

fn name(&self) -> String

Returns the name of the tool.

fn description(&self) -> String

Provides a description of what the tool does and when to use it.

fn run<'life0, 'async_trait>( &'life0 self, input: Value ) -> Pin<Box<dyn Future<Output = Result<String, Box<dyn Error>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Executes the core functionality of the tool.

fn parameters(&self) -> Value

This are the parametters for OpenAi-like function call. You should return a jsnon like this one

fn call<'life0, 'life1, 'async_trait>( &'life0 self, input: &'life1 str ) -> Pin<Box<dyn Future<Output = Result<String, Box<dyn Error>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Processes an input string and executes the tool’s functionality, returning a Result.

fn parse_input<'life0, 'life1, 'async_trait>( &'life0 self, input: &'life1 str ) -> Pin<Box<dyn Future<Output = Value> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait,

Parses the input string, which could be a JSON value or a raw string, depending on the LLM model.