[2026-09-11 11:44:50] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1132,"completion_tokens":237,"total_tokens":1369,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 11:48:19] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1132,"completion_tokens":246,"total_tokens":1378,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:33:13] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1140,"completion_tokens":12,"total_tokens":1152,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:35:10] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1140,"completion_tokens":12,"total_tokens":1152,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:38:50] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1141,"completion_tokens":12,"total_tokens":1153,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:41:18] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1224,"completion_tokens":12,"total_tokens":1236,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:41:47] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1224,"completion_tokens":1184,"total_tokens":2408,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:42:53] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1140,"completion_tokens":1084,"total_tokens":2224,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:50:04] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1144,"completion_tokens":287,"total_tokens":1431,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:50:27] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1143,"completion_tokens":307,"total_tokens":1450,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 12:51:03] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1142,"completion_tokens":1184,"total_tokens":2326,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 13:13:35] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1143,"completion_tokens":241,"total_tokens":1384,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}} 
[2026-09-11 14:25:26] local.INFO: Food Image {"starts_with":"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAASABIAAD","length":66891} 
[2026-09-11 14:25:26] local.INFO: OpenAI Payload {"payload":{"model":"gpt-4.1","input":[{"role":"user","content":[{"type":"input_text","text":"You are a food recognition system for a calorie tracking app.
Analyze this food image and identify all visible foods.
Prepare data for USDA FoodData Central lookup.
Rules:
- Return all possible foods if uncertain.
- Prefer generic food names, not brands.
- Create USDA-friendly search queries in English.
- Include preparation words when useful (raw, cooked, grilled, fried, baked).
- Do not calculate nutrition.
- Do not provide FDC IDs.
- Additionally, identify possible consumption units for each food. Include 'Gram' as a baseline unit.

Quantity detection (qty):
- Carefully observe and calculate the exact visible amount (including partial/fractional amounts) of each food/item in the image.
- qty MUST equal the actual amount of that item visible in the image. You MUST use decimal values for partial quantities (e.g., half a glass of milk => qty = 0.5, a quarter of a pizza => qty = 0.25, 1.5 apples => qty = 1.5, 2 apples => qty = 2).
- VISUAL EVIDENCE CRITERIA: You MUST look at how the food is served in the photo to choose the default unit. If it is a whole discrete item, default to 'piece'. If it is in a container, default to that container (bowl, glass, cup). Only default to 'Gram' if the food is a loose, uncontained portion. Set 'is_default' to true for exactly one unit that matches this visual presentation. For the default unit, estimate the visible 'quantity' in the image (set quantity to 0 for non-default units)

Unit detection (unit, units):
- unit MUST be the single most appropriate default consumption unit for that food based exactly on how it is visually presented (e.g., \"Piece\" for an apple, \"Bowl\" for soup, \"Bottle\" for a bottled drink, \"Slice\" for a piece of pizza).
- units MUST be a list of the valid/expected consumption units that could reasonably be used for that food (e.g. Apple => [\"Gram\", \"Kg\", \"Piece\"], Milk => [\"Ml\", \"Liter\", \"Bottle\"]).
- unit MUST be included in units.
- Use \"Gram\" as the default unit for foods without a distinct countable container/serving unit.
- For each unit, provide 'name' (generic identifier), 'name' (English name, e.g., 'bowl', 'piece'), and 'name_el' (Greek translation of the unit).
- Provide 'conversion_to_grams' representing the weight of 1 quantity of that unit. 

IMPORTANT:
- detected_name MUST always be in English.
- usda_search_query MUST always be in English.

- display_name MUST be returned in English.
- display_name_en MUST always be in English.
- display_name_el MUST always be in Greek.

- category MUST be returned in English.
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[2026-09-11 14:25:32] local.INFO: OpenAI Usage {"usage":{"input_tokens":1523,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":161,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":1684}} 
[2026-09-11 15:14:38] local.INFO: OpenAI Wrapper Usage {"user_id":84,"usage":{"prompt_tokens":1140,"completion_tokens":1034,"total_tokens":2174,"prompt_tokens_details":{"cached_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}