Show HN: Dspyer – self-correcting, optimizable LLM steps for DSPy and LangGraph

Category: library

Tags: llm, dspy, self-correction, prompt-optimization, python

Score: 6.5/10 (Innovation: 6, Technical: 7, Documentation: 7, Utility: 6)

Dspyer is a Python library that bridges the gap between standard Python functions and Stanford's DSPy framework, enabling automatic self-correction, typed outputs, and prompt optimization for LLM steps. It reduces boilerplate and addresses common production challenges like prompt decay and brittle validation, making it interesting for developers building reliable LLM agents.

Target audience: backend devs, ai engineers, ml engineers

Repository: https://github.com/theramkm/dspyer · Python · Apache-2.0 · 2 stars

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