Скачать или смотреть Spring AI Logging Made Simple: See Every Request & Response to Your LLM

Ready to peek behind the curtain of your Spring AI applications? In this tutorial, you'll learn how to implement comprehensive logging for your LLM interactions using Spring AI's built-in Simple Logger Advisor.

What You'll Learn:
Building Spring AI applications but struggling to understand what's happening under the hood? This step-by-step guide shows you exactly how to add observability to your AI applications. We'll start with a basic Spring AI setup and gradually enhance it with detailed request and response logging that works with any LLM provider (OpenAI, Anthropic, and more).

Key Takeaways:
✅ Set up a Spring AI project with proper observability from scratch
✅ Transform basic string responses into detailed ChatResponse objects with metadata
✅ Implement the Simple Logger Advisor for comprehensive request/response logging
✅ Configure debug logging to capture raw HTTP requests and responses
✅ Access valuable metadata including token usage, rate limits, and model information
✅ Build provider-agnostic logging that works across different LLM services

Perfect for developers working with AI applications who need better insights into their LLM interactions! No more guessing what's happening behind the scenes - get full visibility into your Spring AI calls.

🔗 Resources Mentioned:
Spring Initializr start.spring.io
Spring AI Documentation: https://docs.spring.io/spring-ai/refe...
Spring AI Advisors:    • Spring AI Advisors: Intercept & Enhance Ev...  

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