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VizPy

Turn prompt failures into executable rules — for AI agents

VizPy streamlines prompt engineering by automatically refining prompts based on operational failures. This tool learns from execution errors to create explicit correction rules, significantly enhancing the reliability of your applications and processing pipelines. Key features include: • Automated prompt optimization • Error-to-rule conversion for corrections • Generation of human-readable correction explanations • Two specialized optimizers: PromptGrad for generation and ContraPrompt for classification VizPy integrates seamlessly into existing workflows, acting as a drop-in replacement for frameworks like DSPy. It eradicates the need for manual prompt adjustments by systematically identifying where a module fails, extracting the underlying cause, and injecting precise, executable rules to prevent future errors. This systematic approach ensures that your applications consistently deliver accurate and dependable results. The platform offers two distinct optimizers. PromptGrad excels in generation tasks and continuous metrics by conducting epoch-based failure analysis, computing textual gradients, and accumulating corrections. ContraPrompt is ideal for classification tasks with clear labels, mining contrastive pairs to extract the specific rules that differentiate correct from incorrect outcomes. VizPy is designed for developers, data scientists, and engineering teams building robust applications. It's especially useful for those seeking to improve the performance and stability of their text-based systems without extensive manual tuning.
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