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Dev.to
7/30/2026
The original headline is: "How to Reduce LLM Costs in Spring AI 2.0: 10 Practical Controls"

The original headline is: "How to Reduce LLM Costs in Spring AI 2.0: 10 Practical Controls"

Original: How to Reduce LLM Costs in Spring AI 2.0: 10 Practical Controls

Short summary

Spring AI 2.0 defaults prioritize fast starts over cost efficiency. This series identifies ten token-cost drivers — from repeated system prompts to full conversation history resent each turn — and pairs each with a framework control to fix it. Part 1 covers observability, response length limits, conversation history bounding, and prompt structuring for provider caching.

  • •Ten cost drivers in Spring AI 2.0 that inflate token usage
  • •Practical controls: limit response length, bound history, structure prompts for caching
  • •Part 1 live; Parts 2-4 covering RAG, tool schemas, and embedding costs in August 2026

Generated with AI, which can make mistakes.

#ai-tools#industry-adoption
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