claude_agent_sdk_rust

# Building a Production-Ready AI Agent with Claude Agent SDK in Rust

## Overview
To create a robust AI agent using the Claude Agent SDK in Rust, we'll focus on type safety, error handling, and modular design. This example demonstrates how to build an agent that processes customer support tickets.

## Key Components
- **Type-Safe Data Structures**: Define clear types for input and output data.
- **Error Handling**: Implement comprehensive error handling for robustness.
- **Modular Design**: Break down the agent into reusable modules.

## Example Code
```rust
use claude_agent_sdk::prelude::*;

#[derive(Debug, Serialize, Deserialize)]
struct SupportTicket {
    id: String,
    customer_name: String,
    issue: String,
    priority: u8,
}

#[derive(Debug, Serialize, Deserialize)]
struct TicketResponse {
    response: String,
    follow_up_needed: bool,
}

async fn process_ticket(ticket: SupportTicket) -> Result<TicketResponse, AgentError> {
    // Process the ticket using Claude's capabilities
    let response = claude_agent_sdk::call_ai(
        format!("Process support ticket: {}", ticket.issue),
    )
    .await?;
    
    Ok(TicketResponse {
        response,
        follow_up_needed: ticket.priority > 3,
    })
}
```

## Best Practices
- **Type Safety**: Always define clear types for your data structures.
- **Error Handling**: Use Rust's error handling features to ensure robustness.
- **Modularity**: Break down your agent into smaller, reusable modules.

## Potential Pitfalls
- **Overcomplicating**: Avoid over-engineering your agent.
- **Ignoring Errors**: Always handle errors properly to avoid crashes.
- **Poor Documentation**: Document your code thoroughly for maintainability.