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Python: Use AI Foundry evaluators for self-reflection (#2250)
* First working version * Simplify the implementations * Remove unused env var * Update Python syntax * Address feedbacks * Fix a typo * Update names as review suggestions * Citation for self-reflection * Move to independent folder * Update python/samples/getting_started/evaluation/azure_ai_foundry/evaluation/README.md Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> * Updated from parquet to JSONL and hide the default environment variables * As review feedback, remove the purpose of using `run_self_reflection_batch` as a library, only use it as sample code * Update python/samples/getting_started/evaluation/azure_ai_foundry/evaluation/self_reflection.py Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> --------- Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
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@@ -185,6 +185,7 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen
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| File | Description |
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| [`getting_started/evaluation/azure_ai_foundry/red_team_agent_sample.py`](./getting_started/evaluation/azure_ai_foundry/red_team_agent_sample.py) | Red team agent evaluation sample for Azure AI Foundry |
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| [`getting_started/evaluation/azure_ai_foundry/evaluation/self_reflection.py`](./getting_started/evaluation/azure_ai_foundry/evaluation/self_reflection.py) | LLM self-reflection with AI Foundry graders example |
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## MCP (Model Context Protocol)
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