Struct Agent 

pub struct Agent<M: LanguageModel> { /* private fields */ }

An AGNO-style agent that alternates between the LLM and registered tools.

Implementations

impl<M: LanguageModel> Agent<M>

pub fn new(model: Arc<M>) -> Self

pub fn with_system_prompt(self, prompt: impl Into<String>) -> Self

pub fn with_tools(self, tools: ToolRegistry) -> Self

pub fn with_memory(self, memory: ConversationMemory) -> Self

pub fn with_access_control(self, controller: Arc<AccessController>) -> Self

pub fn with_principal(self, principal: Principal) -> Self

pub fn with_metrics(self, metrics: MetricsTracker) -> Self

pub fn with_telemetry(self, telemetry: TelemetryCollector) -> Self

pub fn with_workflow_label(self, workflow: impl Into<String>) -> Self

pub fn with_input_schema(self, schema: Value) -> Self

pub fn with_output_schema(self, schema: Value) -> Self

pub fn with_hook(self, hook: Arc<dyn AgentHook>) -> Self

pub fn with_retriever(self, retriever: Arc<dyn Retriever>) -> Self

pub fn require_tool_confirmation( self, handler: Arc<dyn ConfirmationHandler>, ) -> Self

pub fn with_max_steps(self, max_steps: usize) -> Self

pub fn with_streaming(self, streaming: bool) -> Self

pub fn tools_mut(&mut self) -> &mut ToolRegistry

pub fn tool_names(&self) -> Vec<String>

pub fn set_principal(&mut self, principal: Principal)

pub fn attach_access_control(&mut self, controller: Arc<AccessController>)

pub fn attach_metrics(&mut self, metrics: MetricsTracker)

pub fn attach_telemetry(&mut self, telemetry: TelemetryCollector)

pub fn memory(&self) -> &ConversationMemory

pub fn sync_memory_from(&mut self, memory: &ConversationMemory)

pub fn take_memory_snapshot(&self) -> ConversationMemory

pub async fn respond(&mut self, user_input: impl Into<String>) -> Result<String>

Run a single exchange with the agent. Returns the final assistant reply.

pub async fn respond_for( &mut self, principal: Principal, user_input: impl Into<String>, ) -> Result<String>