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chetantoshniwal
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python/samples/05-end-to-end/evaluation/foundry_evals/evaluate_workflow_sample.py
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This sample demonstrates three patterns:
1. Post-hoc: Run the workflow, then evaluate the result you already have.
2. Run + evaluate: Pass queries and let evaluate_workflow() run the workflow for you.
3. Similarity: Evaluate an agent's output against ground-truth reference answers.
3. Similarity: Evaluate the workflow's final output against ground-truth reference answers.
Patterns 1 & 2 return a list of results (one per provider), each with a per-agent
breakdown in sub_results so you can identify which agent is underperforming.