- Remove AutomaticFunctionCallingConfig(max_remote_calls=3) which caused
pydantic validation error on the installed google-genai version
- Log full Gemini raw JSON response in OCR engine for debugging
- Add engine/transmission to backend raw values log
- Add hasTrim/hasEngine/hasTransmission to decode success log
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The installed google-genai version does not support max_remote_calls on
AutomaticFunctionCallingConfig, causing a pydantic validation error that
broke VIN decode on staging.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace vertexai.generative_models with google.genai client pattern.
Add Google Search grounding tool to VIN decode for improved accuracy.
Convert response schema types to uppercase per Vertex AI Schema spec.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
gemini-3-flash-preview was hallucinating year (e.g., returning 1993
instead of 2023 for position-10 code P). Prompt now includes the full
1980-2039 year code table and position-7 disambiguation rule.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Delete vehicles/external/nhtsa/ directory (3 files), remove VPICVariable
and VPICResponse from platform models. Update all documentation to
reflect Gemini VIN decode via OCR service architecture.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add POST /decode/vin endpoint using Gemini 2.5 Flash for VIN string
decoding. Returns structured vehicle data (year, make, model, trim,
body/drive/fuel type, engine, transmission) with confidence score.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The 5s cloud timeout was too tight for the initial WIF authentication
which requires 3 HTTP round-trips (STS, IAM credentials, resource
manager). First call took 5.5s and was discarded, falling back to slow
CPU-based PaddleOCR. Increased to 10s to accommodate cold-start auth.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add/update documentation across backend, Python OCR service, and frontend
for receipt scanning, manual extraction, and Gemini integration. Create
new CLAUDE.md files for engines/, fuel-logs/, documents/, and maintenance/
features.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add standalone GeminiEngine class for maintenance schedule extraction
from PDF owners manuals using Vertex AI Gemini 2.5 Flash with structured
JSON output enforcement, 20MB size limit, and lazy initialization.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add VISION_MONTHLY_LIMIT config setting (default 1000)
- Update CloudEngine to use WIF credential config via ADC
- Rewrite HybridEngine to support cloud-primary with Redis counter
- Pass monthly_limit through engine factory
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
CloudEngine wraps Google Vision TEXT_DETECTION with lazy init.
HybridEngine runs primary engine, falls back to cloud when confidence
is below threshold. Disabled by default (OCR_FALLBACK_ENGINE=none).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Introduce pluggable OcrEngine ABC with PaddleOCR PP-OCRv4 as primary
engine and Tesseract wrapper for backward compatibility. Engine factory
reads OCR_PRIMARY_ENGINE config to instantiate the correct engine.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
