Corrected Outputs for Traces and Observations

Added the ability to capture improved versions of LLM outputs directly in trace views. Domain experts can now add corrected outputs to traces and observations, with diff views comparing original and corrected outputs. Corrections are accessible via the API as scores with dataType: "CORRECTION". Key capabilities include:

• Human-in-the-loop improvement: Domain experts review production outputs and provide corrections
• Fine-tuning data at scale: Export corrected outputs alongside original inputs to create high-quality training datasets from real production data
• Quality benchmarking: Compare actual vs expected outputs across production traces
• JSON validation and plain text modes: Toggle between modes to match your data format
• Use cases: Customer support agent responses, content generation preferences, code generation fixes, structured extraction examples