Unify Cuts AI Agent Costs 95% by Bypassing OpenAI Cache Limits
LangChain · x · 2026-09-01
Unify CTO Connor Heggie details the engineering journey to slash AI agent costs by 90-95%. The key insight involved routing around OpenAI's 15 requests-per-second limit on prompt caching. By building a custom routing layer and treating subagents as simple function calls rather than distinct entities, they achieved a 95% cache hit rate. The discussion also covers why LLM judges must belong to a different model family, the benefits of auditing speed sequentially rather than in bulk, and the shift from full VMs to a Python REPL for running durable cloud agents.
Related event: Self-Built Routing Bypasses OpenAI Cache Limits to Cut AI Costs 95%(2 posts)→
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