Struct ParallelAnalyze 

pub struct ParallelAnalyze { /* private fields */ }

Parallel analysis tool Spawns multiple subagents to analyze different aspects concurrently

Implementations

impl ParallelAnalyze

pub fn new(provider: &str, model: &str, api_key: Option<&str>) -> Result<Self>

Create a new parallel analyzer with default timeout

Errors

Returns an error when the requested provider runner cannot be created.

pub fn with_timeout( provider: &str, model: &str, timeout_secs: u64, api_key: Option<&str>, additional_params: Option<HashMap<String, String>>, ) -> Result<Self>

Create a new parallel analyzer with custom timeout

Errors

Returns an error when the requested provider runner cannot be created.

pub fn with_limits( provider: &str, model: &str, timeout_secs: u64, max_turns: usize, api_key: Option<&str>, additional_params: Option<HashMap<String, String>>, ) -> Result<Self>

Create a new parallel analyzer with custom timeout and turn budget. The turn budget is clamped to 1..=100.

Errors

Returns an error when the requested provider runner cannot be created.

Trait Implementations

impl Tool for ParallelAnalyze

const NAME: &'static str = "parallel_analyze"

The name of the tool. This name should be unique within a single ToolSet or other registration scope that dispatches tools by name.

type Error = ParallelAnalyzeError

The error type of the tool.

type Args = ParallelAnalyzeArgs

The arguments type of the tool.

type Output = ParallelAnalyzeResult

The output type of the tool.

async fn definition(&self, _prompt: String) -> ToolDefinition

A method returning the tool definition. The user prompt can be used to tailor the definition to the specific use case.

async fn call(&self, args: Self::Args) -> Result<Self::Output, Self::Error>

The tool execution method. Both the arguments and return value are a String since these values are meant to be the output and input of LLM models (respectively)

fn name(&self) -> String

A method returning the name of the tool.