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implementation
Implement Pydantic AI Driver Agent
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Develop Voice-Enabled E-Commerce Delivery Support with Pydantic AI and Hume AI
Format
Code-aware
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Linked challenge
Develop Voice-Enabled E-Commerce Delivery Support with Pydantic AI and Hume AI
Prompt source
Original prompt text with formatting preserved for inspection.
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Import `from pydantic_ai import Agent` and define a schema using `from pydantic import BaseModel`. Build an agent named `delivery_agent` configured with Hume AI sentiment metrics to output a validated `DeliveryStatus` object from unstructured audio transcription inputs.
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.