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AI Intelligence Layer - FastAPI Application
Port: 9000
Provides F1 race strategy generation and analysis using Gemini AI.
Supports WebSocket connections from Pi for bidirectional control.
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WebSocket endpoint for Raspberry Pi clients.

Flow:
1. Pi connects and streams lap telemetry via WebSocket
2. AI layer processes telemetry and generates strategies
3. AI layer pushes control commands back to Pi (brake_bias, differential_slip)
Nrrz7[WebSocket] Telemetry buffer cleared for new connection<6F>connection_establishedz"Connected to AI Intelligence Layer<65>readyT)<04>type<70>messager<00>buffer_clearedr<64><00>	telemetry<72>
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Generate control commands for Pi based on strategy and telemetry.

Returns brake_bias and differential_slip values (0-10) with reasoning.

Logic:
- Brake bias: Adjust based on tire degradation (higher deg = more rear bias)
- Differential slip: Adjust based on pace trend and tire cliff risk
rgffffff<66>?<3F>zHigh tire degradation (z.2fu+) → Brake bias 7 (rear) to protect frontsg<73><67><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>?<3F>zModerate tire degradation (u ) → Brake bias 6 (slight rear)g<><67><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>?<3F>z
Fresh tires (u-) → Brake bias 4 (front) for better turn-inzNormal tire degradation (u) → Brake bias 5 (neutral)zHigh tire cliff risk (u)) → Diff slip 7 (gentle tire treatment)<29>	decliningu5Pace declining → Diff slip 6 (preserve performance)<29>	improvingu7Pace improving → Diff slip 4 (aggressive, lower slip)u%Pace stable → Diff slip 5 (neutral)r<00>
rgzIn pit window (laps <20>
-u) → Conservative: brake u→z, diff r<>c
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