Leo: The Prompt Engineering SDK
Optimize, benchmark & evaluate LLM prompts with 1 command.
What it does
Bring rigor to your AI agents. Trusted by 8,500+ developers, Leo is a lightweight Python SDK designed to integrate prompt optimization directly into your CI/CD pipelines or internal tools. Stop shipping prompts that only work "most of the time." Leo provides a structured way to optimize drafts into role-based instructions and automatically evaluates them against real-world test cases using G-Eval and Hallucination Accuracy metrics. It's the missing piece of the LLM DevStack.
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Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
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