Line AI Chatbot In Production: A CTO's Honest Breakdown

Short summary

A CTO details how switching from single-model (GPT-4o) to intelligent multi-model routing cut production chatbot costs by 40–65% while maintaining quality. Using OpenAI-compatible APIs with model-as-config prevents vendor lock-in and enables rapid swaps. A request router sends simple Q&A to cheaper models and reserves expensive capacity for complex reasoning, achieving 1.2s latency and 320 tokens/second throughput.

• •Cost reduction of 40–65% by routing simple queries to cheaper models (DeepSeek, Qwen, GLM) and complex tasks to premium ones
• •Vendor lock-in avoided through OpenAI-compatible API abstraction where model name is a config value, enabling model swaps without code changes
• •Production routing logic dispatches requests based on complexity, achieving 1.2s average latency and 320 tokens/second

Generated with AI, which can make mistakes.