advancedSpring AI — Tool Calling, Agents & Production

How do you implement tool call error handling and retries in Spring AI?

Wrap tool logic in try-catch and return a descriptive error STRING as the tool result — the LLM sees it and can decide to retry with different arguments or acknowledge failure. For HTTP-level retries, configure RetryTemplate on the ChatModel, or use Spring Retry's @Retryable on the @Tool method for transient failures.

Ready to master this question?

Generate a complete walkthrough — background, the full answer in plain language, a working code example explained line by line, a real-world scenario, common mistakes, and how this same question gets asked in different ways.

Sign in to generate a response

Next Step

Continue to What is semantic caching and how can it reduce LLM costs in Spring AI?← Back to all Spring Boot & Microservices questions