Expand description
AI Provenance Definition
Provenance captures metadata about how a run was executed, specifically focusing on
the model (LLM) and provider configuration.
§Usage
This is critical for:
- Reproducibility: Knowing which model version produced a result.
- Cost Accounting: Tracking token usage per run.
- Optimization: Comparing performance across different models or parameters.
Structs§
- Provenance
- Provenance object for model/provider metadata. Captures model/provider settings and usage.