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I built an open-source router that cuts my OpenAI API costs by 60%

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I was burning money sending simple syntax lookups to GPT-4 when GPT-4o-mini could handle them just fine. So I built **sievellm** — an AI-powered router that automatically picks the right model for each query.

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## ⚡ How it works

    from sieve import route
    
    # Simple question → gpt-4o-mini ($0.00001)
    route("What does HTTP 403 mean?")
    
    # Complex task → gpt-4-turbo ($0.02)  
    route("Review this auth code for security vulnerabilities")

One line. No config files. No Docker. No proxy servers.

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## 🧠 The smart part

Instead of keyword matching, it uses GPT-4o-mini to classify complexity before routing. Costs \~$0.00001 extra per request — saves way more by avoiding GPT-4 on simple stuff.

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## 📊 vs LiteLLM

| | LiteLLM | Sievellm |
|:-|:--------|:---------|
| Setup | Docker, Postgres, YAML | `pip install` |
| Routing | Manual rules | AI auto-detects |
| Code | Proxy + config | One line |

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## 🚀 Try it

    pip install sievellm

**GitHub:** [https://github.com/sievellm/sieve](https://github.com/sievellm/sieve)

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Still early (v0.2.0). What features would actually make this useful for you?
