Radkit - Rust Agent Development Kit

What is Radkit?

Radkit is an agent framework for building AI agents in Rust. It provides comprehensive support for the A2A (Agent-to-Agent) Protocol, enabling seamless agent interoperability with zero conversion overhead.

Built with enterprise-grade architecture, Radkit offers: - 🚀 A2A-Native Design: Unlike other agent frameworks (Autogen, CrewAI, Langchain, ADK) where a2a is a secondary layer, Radkit is built from the ground up to support the protocol natively. - 🤖 Multi-Provider LLM Support: Anthropic Claude, Google Gemini, and more - 🔧 Advanced Tool System: Function calling with built-in task management tools

Quick Example

[dependencies]
radkit = "0.0.1"
futures = "0.3.31"
tokio = "1.47.1"
uuid = "1.18.0"
dotenvy = "0.15.7"

Create a .env file with your Anthropic API key:

ANTHROPIC_API_KEY="YOUR_API_KEY"

Then, create an agent and send a message:

use futures::StreamExt;
use radkit::a2a::{
    Message, MessageRole, MessageSendParams, Part, SendStreamingMessageResult, TaskState,
};
use radkit::agents::{Agent, AgentConfig};
use radkit::models::AnthropicLlm;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Load environment variables from .env file.
    dotenvy::dotenv()?;

    // Create an LLM provider (supports Anthropic, Gemini, and Mock providers)
    let llm = AnthropicLlm::new(
        "claude-3-5-sonnet-20241022".to_string(),
        std::env::var("ANTHROPIC_API_KEY")?,
    );

    // Create an agent with built-in task management tools
    let agent = Agent::builder(
        "You are a helpful research assistant. When working on tasks,
        always use update_status to indicate your progress (e.g., 'working' when processing, 'completed' when done.
        When you produce any results or findings, save them using save_artifact so they can be retrieved later.",
        llm,
    )
        .with_config(AgentConfig::default().with_max_iterations(10))
        .with_builtin_task_tools() // Enables update_status and save_artifact tools
        .build();

    // User simply asks for research - no mention of tools
    let message = Message {
        kind: "message".to_string(),
        message_id: uuid::Uuid::new_v4().to_string(),
        role: MessageRole::User,
        parts: vec![Part::Text {
            text: "Can you research the Fibonacci sequence and create a \
                   summary of its properties and applications?"
                .to_string(),
            metadata: None,
        }],
        context_id: None, // New session will be created
        task_id: None,    // New task will be created
        reference_task_ids: Vec::new(),
        extensions: Vec::new(),
        metadata: None,
    };

    // Stream the execution to capture real-time A2A protocol events
    let mut execution = agent
        .send_streaming_message(
            "my_app".to_string(),
            "user123".to_string(),
            MessageSendParams {
                message,
                configuration: None,
                metadata: None,
            },
        )
        .await?;

    let mut status_events = 0;
    let mut artifact_events = 0;
    let mut final_task = None;

    // Process streaming results and capture A2A protocol events
    while let Some(event) = execution.a2a_stream.next().await {
        match event {
            SendStreamingMessageResult::TaskStatusUpdate(status_event) => {
                status_events += 1;
                println!("📊 Status Update: {:?}", status_event.status.state);

                if status_event.status.message.is_some() {
                    println!(
                        "  Message: {:?}",
                        status_event.status.message.as_ref().unwrap()
                    );
                }
            }
            SendStreamingMessageResult::TaskArtifactUpdate(artifact_event) => {
                artifact_events += 1;
                println!("💾 Artifact Saved: {:?}", artifact_event.artifact.name);
            }
            SendStreamingMessageResult::Task(task) => {
                println!("✅ Task Completed: {}", task.id);
                final_task = Some(task);
                break;
            }
            _ => {} // Handle other events as needed
        }
    }

    // Examine the final task state
    if let Some(task) = final_task {
        println!("\n📈 Final Results:");
        println!("  Task State: {:?}", task.status.state);
        println!("  Messages: {}", task.history.len());
        println!("  Artifacts: {}", task.artifacts.len());

        // Check the saved artifact content
        if let Some(artifact) = task.artifacts.first() {
            if let Some(Part::Text { text, .. }) = artifact.parts.first() {
                println!(
                    "  Artifact Content Preview: {}",
                    &text[..text.len().min(200)]
                );
            }
        }
    }
    Ok(())
}

Key Features

A2A Protocol Native

• Protocol Methods: Implements message/send, message/stream, tasks/get
• Event Streaming: Tools can generate compliant TaskStatusUpdate and TaskArtifactUpdate events

Comprehensive Task System

• Follows Task Lifecycle: Submitted → Working → [InputRequired/AuthRequired] → Completed/Failed
• Atomic Operations: Thread-safe message, artifact, and status updates
• A2A Events: Automatic generation of protocol-compliant events
• Built-in Tools: update_status and save_artifact with event emission

Quick Start Guide

Getting Started Tools Guide Task Guide Session Guide

Development Status

Current Version: 0.1.0 (Work in Progress - Major Architecture Complete)

✅ Completed Features: - A2A Protocol core implementation with native types - Multi-provider LLM support (Anthropic Claude, Google Gemini) - Task lifecycle management with A2A event streaming - Comprehensive tool system with built-in A2A tools - Secure ToolContext with capability-based access control - State management with three-tier state isolation (app/user/session)

🚧 Coming Soon: - A2A Server mode (HTTP/gRPC endpoints for agent interoperability) - A2A Client mode (call other A2A agents via function calling) - MCP (Model Context Protocol) tools integration - OpenAPI tool generation and validation - Production persistent storage backends (PostgreSQL, Redis) - WebSocket streaming support for real-time clients

License

Radkit is licensed under the Apache 2.0 License. See LICENSE for details.