Back to Prompt Library
implementation
Create Pydantic AI Agent Structure
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Pydantic AI Predictive Motor Maintenance Agent with Vast.ai Model Runtime
Format
Text-first
Lines
1
Sections
1
Linked challenge
Pydantic AI Predictive Motor Maintenance Agent with Vast.ai Model Runtime
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Import Agent from pydantic_ai. Define a MotorTelemetryResult Pydantic model with fields health_status (str), estimated_rul_hours (float), and bearing_fault_detected (str). Instantiate the agent targeting a local or Vast.ai endpoint.
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.