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Routing Billions of Tokens per Minute

Blog post from Lovable

Post Details
Company
Date Published
Author
Mårten Wiman
Word Count
1,606
Company Posts That Month
9
Language
English
Hacker News Points
-
Post removed?
No
Summary

Mårten, a former competitive programmer and mathematician, joined Lovable in 2023 to help streamline the process of translating ideas into machine-executable code. At Lovable, large language models (LLMs) are integral, handling over a billion tokens per minute during peak traffic, which poses challenges like provider outages and rate-limiting. To ensure reliability, the infrastructure team implemented a sophisticated load balancing system that maintains prompt caching by using multiple fallback chains and project-level affinity, distributing traffic across various model providers like Anthropic, Vertex, and Bedrock. This system adjusts provider weights dynamically based on real-time data using a PID controller, optimizing traffic flow without manual intervention and minimizing disruptions due to LLM provider issues. This innovative approach exemplifies Lovable's commitment to dynamic problem-solving, allowing the company to handle infrastructure challenges efficiently and consistently.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 6 6,078 960 218 +18%
AI Agents 1 4,545 963 231 +27%
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