Production Guide

Taking your DSPy.rb applications from development to production requires careful consideration of storage, monitoring, and operational concerns. This guide covers everything you need to run DSPy.rb at scale.

Production Topics

Storage

Implement persistent storage for prompts, examples, and model outputs. Learn about caching strategies and data management.

Registry

Manage and version your modules, signatures, and optimized prompts across environments.

Observability

Monitor your LLM applications with logging, metrics, and tracing to ensure reliability and performance.

Key Considerations

Performance

• Implement caching at multiple levels
• Use async processing for non-critical paths
• Monitor token usage and costs

Reliability

• Add retry logic with exponential backoff
• Implement circuit breakers for external services
• Use fallback strategies for critical paths

Security

• Never log sensitive data or API keys
• Implement rate limiting
• Use environment-specific configurations

Cost Management

• Monitor token usage per operation
• Implement usage quotas
• Cache expensive operations

Deployment Checklist

• Environment variables configured
• Logging and monitoring set up
• Error handling implemented
• Caching strategy defined
• Performance benchmarks established
• Cost monitoring enabled
• Backup and recovery procedures