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Architecture
๐Ÿ’ก Design Patterns
Software Design Patterns
Adapter Pattern

Adapter Pattern

The Adapter Pattern allows AI agents to work with incompatible interfaces by wrapping existing components to match expected interfaces.

Pattern Overview

This pattern acts as a bridge between incompatible interfaces, enabling agents to integrate with legacy systems or third-party services.

Structure

// Target interface that agents expect
pub trait DataSource {
    fn fetch_data(&self) -> Vec<String>;
    fn get_metadata(&self) -> String;
}
 
// Legacy system with incompatible interface
pub struct LegacyDatabase {
    connection_string: String,
}
 
impl LegacyDatabase {
    pub fn new(conn: &str) -> Self {
        Self {
            connection_string: conn.to_string(),
        }
    }
 
    pub fn query_records(&self) -> Vec<&str> {
        // Legacy method with different signature
        vec!["record1", "record2", "record3"]
    }
 
    pub fn get_schema_info(&self) -> &str {
        "Legacy database schema v1.0"
    }
}
 
// Adapter that makes legacy system compatible
pub struct DatabaseAdapter {
    legacy_db: LegacyDatabase,
}
 
impl DatabaseAdapter {
    pub fn new(legacy_db: LegacyDatabase) -> Self {
        Self { legacy_db }
    }
}
 
impl DataSource for DatabaseAdapter {
    fn fetch_data(&self) -> Vec<String> {
        // Convert legacy format to expected format
        self.legacy_db
            .query_records()
            .into_iter()
            .map(|s| s.to_string())
            .collect()
    }
 
    fn get_metadata(&self) -> String {
        format!("Adapted: {}", self.legacy_db.get_schema_info())
    }
}
 
// Agent that uses the standard interface
pub struct DataAnalysisAgent;
 
impl DataAnalysisAgent {
    pub fn analyze(&self, source: &dyn DataSource) -> String {
        let data = source.fetch_data();
        let metadata = source.get_metadata();
        format!("Analyzed {} records from {}", data.len(), metadata)
    }
}

Usage Example

let legacy_db = LegacyDatabase::new("legacy://localhost:5432");
let adapter = DatabaseAdapter::new(legacy_db);
let agent = DataAnalysisAgent;
 
let result = agent.analyze(&adapter);
println!("{}", result);

Benefits

  • Integration: Connect agents with legacy systems
  • Reusability: Reuse existing code without modification
  • Flexibility: Support multiple data source types
  • Maintainability: Isolate interface conversion logic

Use Cases

  • Integrating agents with existing enterprise systems
  • Supporting multiple API versions
  • Wrapping third-party services for agent consumption
  • Creating unified interfaces for heterogeneous data sources