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Initialize Pydantic AI SLAM Agent

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Linked challenge: Type-Safe vSLAM Perception Diagnostic Agent with Pydantic AI and Qwen 3

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Linked challenge
Type-Safe vSLAM Perception Diagnostic Agent with Pydantic AI and Qwen 3

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Using Pydantic AI, create a SystemPrompt that defines a 'SLAMHealthAgent'. Define a Pydantic model called 'SensorTelemetry' with fields for camera_fps (float), feature_count (int), and imu_gyro_bias (float). The agent should use the Qwen 3 model to evaluate these signals. Provide the initialization code including the dependency setup for a mock ROS 2 sensor interface.

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.