Build an AI Model Router to Cut LLM Costs - Step by Step Tutorial - JEV - Future of AI [2026]
Tarn
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Build an AI Model Router to Cut LLM Costs - Step by Step Tutorial - JEV - Future of AI [2026]
56 просмотров · 1 дн. назад
Tarn
39 подписчиков
56 просмотров · 1 дн. назад
📂 Code: https://github.com/Tarn-Virk/JEV-Mode...
🔑 OpenRouter: https://openrouter.ai
🚀 Stop sending every prompt to your most expensive AI model. We build a Model Router in Python that classifies each prompt into 1 of 6 categories and sends it to the right model, so simple prompts don't burn expensive tokens. 💸
The future of AI isn't one giant model. It's the right model for each prompt. 🧠
🧭 WHAT YOU'LL BUILD
✅ A Streamlit chat app (Streamlit = a Python web app framework)
✅ A prompt classifier that sorts every prompt into 6 categories
✅ Routing across Google, OpenAI and Anthropic with ONE API key via OpenRouter
✅ A live badge on every reply: model, category, confidence, cost and speed
✅ A one-click baseline toggle to compare routed cost vs all-Opus cost
🗂️ THE 6 CATEGORIES
💬 chit_chat → Gemini 3.5 Flash
📚 general_knowledge → Gemini 3.5 Flash
💻 coding → Claude Sonnet 5.5
🧮 reasoning_math → GPT-5.6 Sol
✍️ writing_creative → Claude Opus 5.5
🧠 complex_analysis → Claude Opus 5.5
🛠️ TECH USED
Python • uv • Streamlit • OpenRouter • OpenAI SDK • JEV by TypeSafe
⏱️ CHAPTERS
0:00 Intro and understanding the project
2:52 Initial setup and installing dependencies
7:49 Virtual environments
15:02 Writing the code
42:50 Endgame
45:15 Outro
🙋 Questions? Drop them in the comments.
🔔 Subscribe, and let's de-tech-ify it together.
#AI #ModelRouter #LLM #JEV