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Integrate Human-in-the-Loop Feedback
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Linked challenge: Multi-Agent AI for Dynamic Short-Form Video Generation
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Linked challenge
Multi-Agent AI for Dynamic Short-Form Video Generation
Prompt source
Original prompt text with formatting preserved for inspection.
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Modify your AutoGen workflow to include a human-in-the-loop step after the initial plan generation. The `UserProxyAgent` should present the plan to the user for feedback. Based on this feedback, the agents should automatically re-engage to revise the plan, demonstrating an iterative improvement loop. Provide Python code for this feedback loop and demonstrate how agents respond to negative and positive feedback scenarios, leading to the `HumanInLoopValidationResponse`.
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.