Control Errors and Costs in an AI API Prototype
Usage limits, bounded retries, error handling aur cost-monitoring exercise.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Common AI API errors and how to handle them
- 2Retries, timeouts and fallbacks
- 3Setting usage limits
- 4Tracking cost per request
- 5Protecting against abuse
- 6Monitoring and alerts
Who it's for
- • Developers building AI prototypes
- • Startup teams
You'd leave with
- Error handling patterns
- Cost control measures
- A monitoring setup
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