DSPy
Automated prompt optimization framework for building AI Agents
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for DSPy, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
DSPy is an open-source Python framework that enables developers to build language model applications using modular and declarative programming. It automates prompt engineering and model selection, allowing developers to focus on high-level logic rather than manual prompt crafting. DSPy optimizes prompts and models based on specified metrics, making AI systems more reliable, scalable, and efficient.
Key features and capabilities
- AUTOMATED PROMPT OPTIMIZATION,
- DECLARATIVE PROGRAMMING,
- MODULAR ARCHITECTURE, CONTINUOUS LEARNING,
- LLM-AGNOSTIC DESIGN,
- SCALABILITY,
- PERFORMANCE METRICS INTEGRATION
Use cases
- BUILDING COMPLEX AI PIPELINES,
- OPTIMIZING RETRIEVAL-AUGMENTED GENERATION SYSTEMS,
- AUTOMATING CUSTOMER SUPPORT CHATBOTS,
- CREATING PERSONALIZED RECOMMENDATION SYSTEMS,
- DEVELOPING INFORMATION EXTRACTION TOOLS