dspy-production

What problem does it solve?

This Skill addresses the challenge of deploying DSPy modules to production services with the right settings, ensuring efficient memory usage and high throughput.

Core Features & Use Cases

• Production Settings: Configures DSPy for serving by disabling caches, history, and traces, and maximizing async workers.
• Cache Management: Disables disk and memory caching to prevent memory leaks and maximize performance.
• Concurrency Tuning: Allows for configuring the number of async workers to match service concurrency.
• Use Case: When deploying a DSPy module to a production service or tuning it for high-throughput inference, this Skill ensures optimal performance and resource management.

Quick Start

Optimize your DSPy module for production by disabling caches and setting the number of async workers to 32.