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

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# 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
```bash
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.