agentic-ai-engineering/site/labs/l6-cost-optimization.md

L6b: Cost Optimization

Module: M6 Economics
Files: starter.py, solution.py

Objective

Profile a session, find savings, implement cascade routing.

Concepts

Refer to the corresponding module for full concept explanations.

Starter

cd course/labs/l6-cost-optimization/
# Open starter file and fill in the TODOs

Checkpoints

1. Define model cost profiles (input/output $/M tokens)
2. Calculate all-Opus session cost
3. Implement cascade routing map (Flash/Sonnet/Opus by task)
4. Calculate savings percentage

Solution

Compare against the solution file after attempting the starter.