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Develop Gemini 2.5 Pro-powered Schema Mapper Agent

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Linked challenge: Automate GenAI Data Prep & System Integration

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Linked challenge
Automate GenAI Data Prep & System Integration

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Implement an AutoGen agent that utilizes Gemini 2.5 Pro and LlamaIndex to perform schema mapping. The agent should be able to take two input schemas (e.g., JSON definitions) and, using RAG over provided 'enterprise data dictionary' documents, suggest optimal mappings and transformation rules. Demonstrate its ability to generate mapping code (e.g., Python dictionary transformations).

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

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.