The systems guide to production token optimization

TL;DR

Token optimization in enterprise AI applications is crucial for managing costs and performance. This guide reveals how to address autoregressive bottlenecks in systems like Concierge and Pathfinder.

Key Takeaways

• Implement dynamic prompt injection to reduce static text costs.
• Use semantic caching to avoid redundant API calls.
• Adopt strict schema validation to minimize malformed outputs.
• Cap session history to control token growth and costs.