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Reasoning Optimization

Optimization techniques for improving reasoning performance, accuracy, and efficiency.

Overview​

This guide covers optimization strategies for reasoning modules including prompt optimization, caching, and performance tuning.

DSPy Optimization​

See DSPy Strategies for automatic prompt optimization using DSPy.

Caching​

See Reasoning Cache for intelligent caching of reasoning results.

Performance Tuning​

Latency Optimization​

  • Use caching for repeated queries
  • Optimize prompt length
  • Choose appropriate reasoning strategy

Accuracy Optimization​

  • Use self-consistency for critical reasoning
  • Leverage DSPy optimization
  • Validate reasoning outputs

Best Practices​

  1. Cache Results: Cache expensive reasoning operations
  2. Optimize Prompts: Use DSPy for automatic optimization
  3. Monitor Performance: Track reasoning latency and accuracy
  4. Choose Right Strategy: Match strategy to problem type