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Develop Custom Agent Tools and Conditional Logic

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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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Enhance your AutoGen agents with custom tools. For instance, the 'Visuals Lead' agent might have a tool to 'simulate_asset_generation' which returns a simple description of a visual asset or a 'SceneSplitterTool' that helps breakdown a script. Implement conditional logic within the agent dialogues, for example, if the script generated by the 'Scriptwriter' is detected as too long (e.g., exceeding word count), the agent automatically tries to shorten it before passing it on. Explain how to store the final generated plans in Azure Blob Storage. Provide code examples for tool definition and conditional agent responses.

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.