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# How to Build a Cost-Efficient AI Agent with Tiered Model Routing

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 14 min read · 1 upvotes · 0 comments

## Summary

A practical tutorial on building a tiered model routing system for AI agents that minimizes API costs. The 'cost curve' pattern routes tasks through three tiers: deterministic Python checks (free), Claude Haiku for ambiguous cases (~$0.0001/call), and Claude Sonnet only for semantic judgment (~$0.006/call). Applied to an SEO audit agent, this reduced per-URL cost from $0.006 to effectively $0 for most pages. The tutorial includes full Python implementation of each tier, a router function with backward-compatible tiered/non-tiered modes, graceful fallback on API errors, and unit tests using mocks. The pattern generalizes to customer support, code review, and content moderation agents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/how-to-build-a-cost-efficient-ai-agent-with-tiered-model-routing/>

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---

Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#claude](https://daily.dev/tags/claude), [#finops](https://daily.dev/tags/finops)

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