Standardized architectural design of the code base
The code base organizes sample projects with an engineering mindset, with each example following a uniform file structure specification. This design significantly reduces the learning curve and allows developers to quickly locate key components.
- Core module division: clear distinction between dataset, program.py, run.py and signatures.py.
- Standardized interface: unified management of input and output conventions through signatures.py, reflecting DSPy's signature features
- Complex system examples: some cases show multi-program collaboration scenarios to demonstrate the construction of complex AI systems
This architectural design reflects best practices for industrial-grade AI applications and is directly reusable as a project template.
This answer comes from the articleDSPy Examples: Practical examples demonstrating DSPy functionalityThe
May not be reproduced without permission:AI productivity tools " The DSPy sample code base is designed with a modular program structure
