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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
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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