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Food Analysis Testing
Single Test
Batch Test
Model Comparison
Full Regression
🔬 Consistency
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Test Configuration
Test Results
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| Test Name | Status | Tests | Pass Rate | Avg Score | Duration | Date | Actions |
|---|---|---|---|---|---|---|---|
System Prompts
Configured Prompts
System prompts are configured in code
User Profiles
Test Profiles
AI Model Configuration
Current Pipeline Configuration
Single comprehensive AI call handles: image validation + food detection + portion estimation + nutrition + recommendations.
✓ Cost-efficient: One API call instead of multiple.
ACTIVE
google/gemini-2.5-flash
Default model for comprehensive food analysis. Fast, accurate, and cost-effective.
Alternative Models (can be configured)
AVAILABLE
google/gemini-2.5-pro
Higher accuracy, slightly slower and more expensive.
AVAILABLE
openai/gpt-4o
OpenAI's latest vision model. Excellent quality but higher cost.
AVAILABLE
anthropic/claude-3.5-sonnet
Claude's vision model. Good for detailed analysis.
API Reference
Core Analysis Endpoints
POST
/api/v1/meal-complete
Complete meal analysis: image → nutrition → GlucIQ → insulin. Single AI call.
GET
/api/v1/result/{processingId}
Get analysis result by processing ID.
PATCH
/api/v1/analysis/{processingId}/recalculate
Adjust food weights and recalculate nutrition/GlucIQ/insulin without AI.
Insulin Calculation
POST
/api/v1/insulin/standalone
Standalone insulin calculation for mobile app ad-hoc use. No image required.
POST
/api/v1/calculate-insulin
Legacy insulin calculation endpoint.
GlucIQ & Scoring
POST
/api/v1/gluciq-score
Calculate GlucIQ score for given nutrition data.
GET
/api/v1/history/{userId}
Get analysis history for a user.
GET
/health
Health check endpoint.