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Implement RAG with DSPy for Policy Contextualization

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Linked challenge: AI-Powered Exam Proctoring: MCP-Enabled Cheat Detection with Gemini 2.5 Pro and DSPy

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Linked challenge
AI-Powered Exam Proctoring: MCP-Enabled Cheat Detection with Gemini 2.5 Pro and DSPy

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Implement a DSPy `Chain` that combines RAG for retrieving relevant academic integrity policies with Gemini 2.5 Pro's 'Deep Think' mode for analyzing student actions against these policies. The chain should take a student action log and a query regarding potential misconduct, then output identified policy violations and their corresponding citations.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.