ds-review
REQUIRED Phase 4 of /ds workflow. Reviews methodology, data quality, and statistical validity.
dspy-finetune-bootstrap
Fine-tune LLM weights using DSPy's BootstrapFinetune optimizer
dspy-rag-pipeline
Build and optimize RAG pipelines with ColBERTv2 retrieval in DSPy
dspy-gepa-reflective
Newest DSPy optimizer using LLM reflection on execution trajectories for agentic systems
dspy-signature-designer
Design type-safe DSPy signatures with InputField, OutputField, and advanced type hints
dspy-evaluation-suite
Comprehensive evaluation metrics and testing framework for DSPy programs
dspy-haystack-integration
Integrate DSPy optimization with existing Haystack pipelines
dspy-miprov2-optimizer
State-of-the-art Bayesian optimization for DSPy programs with joint instruction and demo tuning
observable-gepa-migration
Migrate DSPy GEPA usage in DSPy from the original to gepa-observable. This makes it possible for teams to clearly review each iteration and the lineage to understand how their prompt is evolving. The repository offers a web dashboard for monitoring, but requires a custom GEPA fork that provides custom observers and LM call logging. Use when developers want to add observability to GEPA optimization.
