# Useful but Little-Known Features of ADK 2.0 🌍 Ever had an AI agent fail mid-workflow because of a transient API hiccup, forcing you to manually re-run everything? ADK 2.0 introduces RetryConfig, a framework-level automatic retry mechanism. Define your retry strategy declaratively — no more manual try-catch blocks scattered throughout your agent code. 📌 Title: Automatic Retry (RetryConfig) 🔗 URL: 🧩 Overview RetryConfig lets the framework automatically manage retries when transient errors occur during agent or tool execution. By simply specifying max_attempts, you can automate recovery from network timeouts, API rate limits, and other temporary failures. This eliminates the need for developers to implement retry logic individually, dramatically improving agent robustness. 🛠 How to use it Just attach a RetryConfig to your agent — automatic retries are immediately enabled. ```python from adk import Agent, RetryConfig agent = Agent( name="api_caller", model="gemini-2.0-flash", instruction="Fetch data from the external API", retry_config=RetryConfig(max_attempts=3), ) ``` When the framework detects an error, it automatically retries up to the specified number of attempts. No manual try-except blocks needed. 🏗 Building it into production ・Always configure RetryConfig for agents that call external APIs ・Set max_attempts appropriately based on target API rate limits and SLAs ・Design with a clear distinction between transient and permanent errors ・Monitor retry counts and error details in logs to identify root causes 💡 Use cases 🌐 Automatic recovery from external API rate limits and timeouts 🗄️ Handling temporary database connection drops ☁️ Building resilience against brief cloud service outages 🔄 Improving stability at intermediate steps in multi-step workflows ⚠️ Watch out Broad `except Exception:` blocks will break the framework's retry mechanism by swallowing errors before the framework can handle them. Catching `BaseException` is even worse — it traps `NodeInterruptedError`, which breaks Human-in-the-Loop (HITL) flows. Also, be careful not to waste retries on non-recoverable errors like authentication failures. ✨ With RetryConfig, you can free yourself from manual error handling and build robust agents that run reliably in production environments. #ADK# #AIAgent#