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Engineering11 min read

Lessons from Processing 10 Million AI API Calls

After a year of running production AI workloads for hundreds of teams, here's what actually breaks, what the monitoring blindspots are, and how to build resilient AI features.

PS

Priya Sharma

Principal Engineer

·March 22, 2025

We passed 10 million API calls last quarter. Here's what we learned about what breaks at scale that you won't find in any provider's documentation.

Token limit errors are your most common failure mode

Across all our customers, the single most common error is context window overflow. Teams build prompts dynamically and forget to account for growth in their data. Always truncate before you send, not after.

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