AIKDnuggetsabout 3 hours ago
Four Strategies to Cut Multi-Agent Token Usage
1 min read
Multi-agent AI systems can cut token costs with four strategies: prefix caching, semantic caching, lazy loading, and model routing. Prefix caching stores key-value pairs to avoid re-reading system prompts. Semantic caching uses embeddings to bypass the LLM for similar queries. Lazy loading fetches tool details only when needed.
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