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ai guide

AI Agent Caching Goes Beyond One Layer: From Claude Code's 18 Cache Types to Multi-Layer ReAct Agent Design

After dissecting Claude Code's 18+ caching mechanisms, I found that you can't touch provider-level prompt cache, but embedding cache, tool result cache, and entity cache are not only within your reach — they deliver even better results. Includes a complete AgentCache interface design and per-tool TTL strategy.

#react-agent#cache#prompt-cache#semantic-cache#claude-code#cloudflare-kv#llm-cost-optimization
ai guide

AI Agent Tool Descriptions Shouldn't Be Static: Dynamic prompt() Design Learned from Claude Code

Every one of Claude Code's 45 tools uses a prompt() method that dynamically adjusts based on user type, feature flags, and system capabilities. Applying this pattern to a ReAct Agent, tool descriptions are dynamically generated along three dimensions: orchestrator model capability, locale, and available tools. Small models automatically get few-shot examples; large models save tokens.

#react-agent#tool-use#prompt-engineering#claude-code#few-shot#dynamic-prompt