From Agent Soup to Proper Software Design: Putting the Developer Back in Control of Generative AI with Mellea
David Cox
Abstract
Mellea is a generative AI library for writing robust application software. LLM outputs are intrinsically unpredictable and often wrong. Agentic frameworks and prompt optimization libraries address this unpredictability by putting the LLM in control leading to systems that are often difficult to debug, maintain, evolve, and port. Mellea puts developers back in control by defining a programming model that encourages task decomposition, information hiding, and compositional contracts between isolated modules. Mellea’s programming model results in systems with manageable fault models, better portability, and lower inference-time costs.
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