dspy-development

DSPy signatures define structured input-output contracts for language model programs. You create declarative signature classes, build programs around them, and optimize performance using teleprompters to compile and validate the code against standards.

DSPy teleprompters are optimization algorithms that compile programs by tuning prompts and demonstrations automatically. You need them when optimizing signatures for accuracy and cost efficiency before deploying agentic workflows into production environments.

Set up the environment by installing the dspy dependency, then run the init_skill.py script to scaffold a new DSPy skill under the skills/ directory. This provides templates, scripts, and references for immediate development.

Yes, DSPy programs integrate with AgenticFleet to build robust agent systems. The skill provides real-world AgenticFleet patterns, best practices, and validation guidance for creating production-ready code with optimized signatures.

Validate DSPy programs by running provided scripts that check signature compliance, test teleprompter optimization outputs, and verify code against standards. Use the included templates and examples to ensure robust production-ready implementation.

DSPy optimization failures during teleprompter compilation typically stem from improperly structured signatures or missing environment setup. Validate your signature definitions, ensure the dspy dependency is configured, and test against provided templates.