Making DSPy reliable: self-correcting, schema-validated LLM outputs with automatic prompt optimization

I got tired of babysitting LLM prompts, so I built a small open source tool to stop. So I made dspyer. The idea is simple. You wrap an LLM step in a Pydantic schema. When the model returns something that doesn't fit, malformed JSON, a missing field, a citation it made up, dspyer tells the model exac