docs: update CLAUDE.md references from Vertex AI to google-genai (refs #231)
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Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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OCR engine abstraction layer. Two categories of engines:
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1. **OcrEngine subclasses** (image-to-text): PaddleOCR, Google Vision, Hybrid. Accept image bytes, return text + confidence + word boxes.
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2. **GeminiEngine** (PDF-to-structured-data and VIN decode): Standalone module for maintenance schedule extraction and VIN decoding via Vertex AI. Accepts PDF bytes or VIN strings, returns structured JSON. Not an OcrEngine subclass because the interface signatures differ.
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2. **GeminiEngine** (PDF-to-structured-data and VIN decode): Standalone module for maintenance schedule extraction and VIN decoding via google-genai SDK. Accepts PDF bytes or VIN strings, returns structured JSON. Not an OcrEngine subclass because the interface signatures differ.
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## Files
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@@ -15,7 +15,7 @@ OCR engine abstraction layer. Two categories of engines:
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| `cloud_engine.py` | Google Vision TEXT_DETECTION fallback engine (WIF authentication) | Cloud OCR configuration, API quota |
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| `hybrid_engine.py` | Combines primary + fallback engine with confidence threshold switching | Engine selection logic, fallback behavior |
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| `engine_factory.py` | Factory function and engine registry for instantiation | Adding new engine types |
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| `gemini_engine.py` | Gemini 2.5 Flash integration for maintenance schedule extraction and VIN decoding (Vertex AI SDK, 20MB PDF limit, structured JSON output) | Manual extraction debugging, VIN decode, Gemini configuration |
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| `gemini_engine.py` | Gemini 2.5 Flash integration for maintenance schedule extraction and VIN decoding (google-genai SDK, 20MB PDF limit, structured JSON output, Google Search grounding for VIN decode) | Manual extraction debugging, VIN decode, Gemini configuration |
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## Engine Selection
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