TOOLORA / Local reading edition
DSPy
Build composable Python modules for language-model tasks and optimize prompts or weights using examples and metrics.
Overview
DSPy expresses language-model programs with input/output signatures and composable modules for classification, RAG and agent loops. Developers supply examples and metrics, then choose optimizers for prompts, demonstrations or supported weight-training workflows. Iteration becomes an evaluable development process; improvements depend on data, objectives and the selected model.
Official sources and references
- Official websitehttps://dspy.ai/current/
Descriptions summarize public information; consult official websites for features, pricing and regional availability.