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dsprrr
0.0.0.9000
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Tutorials
1. Your first LLM call
2. Build a classifier
3. Extract structured data
4. Improve with examples
5. Optimize a module
6. Save and reuse a module
Projects
Generate an llms.txt file
Investigate a regression with RLM
Build a text adventure
How-to guides
Build
Choose a module type
Chain modules into pipelines
Retrieval-augmented generation
Calibrated decisions
Measure and improve
Compile and optimize
Choose an optimizer
Evaluate with vitals
Run
Models, providers and streaming
Run dsprrr in pipelines
Use dsprrr with tidymodels
Troubleshooting
Concepts
How dsprrr works
Metrics and evaluation
How optimization works
dsprrr for DSPy users
How RLM works
Experimental
Flex: optimize a whole program
Compose optimizers with Omni
Agentic optimization harnesses
Reference
Function reference
Quick reference
Changelog
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License
YEAR: 2026 COPYRIGHT HOLDER: dsprrr authors
