Cost-aware agent dispatch — when the cheap agent is enough
Not every query needs the production agent. A cost-aware dispatcher decides whether to route to the cheap-and-fast agent or the expensive-and-thorough one. Same UX, dramatically lower bill.
#LLM Ops
LLM Ops extends MLOps practices to the operational challenges specific to large language models. Posts cover cost budgeting for agent tool calls, token consumption tracking, and the operational patterns that keep LLM-backed services predictable in terms of cost, latency, and quality.
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All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.