Agent • Rust AI Agent SDK

Agent: The core Agent struct Agents are the primary execution unit in PraisonAI. They combine: – LLM provider for generating responses – Tools for…

Agent

Defined in the agent module.

The core Agent struct Agents are the primary execution unit in PraisonAI. They combine: – LLM provider for generating responses – Tools for performing actions – Memory for conversation history – Instructions for behavior

Fields

Methods

new

fn new() -> AgentBuilder

Create a new agent builder

simple

fn simple(instructions: impl Into<String>) -> Result<Self>

Create an agent with minimal config

Parameters:

id

fn id(&self) -> &str

Get the agent ID

name

fn name(&self) -> &str

Get the agent name

instructions

fn instructions(&self) -> &str

Get the instructions

model

fn model(&self) -> &str

Get the LLM model name

chat

async fn chat(&self, prompt: &str) -> Result<String>

Chat with the agent (main entry point) This is the primary method for interacting with an agent. It handles the full conversation loop including tool calls.

Parameters:

start

async fn start(&self, prompt: &str) -> Result<String>

Start a conversation (alias for chat)

Parameters:

run

async fn run(&self, task: &str) -> Result<String>

Run a task (alias for chat)

Parameters:

add_tool

async fn add_tool(&self, tool: impl Tool + 'static) -> ()

Add a tool to the agent

Parameters:

tool_count

async fn tool_count(&self) -> usize

Get the number of tools

clear_memory

async fn clear_memory(&self) -> Result<()>

Clear conversation memory

history

async fn history(&self) -> Result<Vec<Message>>

Get conversation history

Source

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