Input path: /home/debian/html/nutritwin/output_llm/68a1bfcb86827/input.json
Output path: /home/debian/html/nutritwin/output_llm/68a1bfcb86827/output.json
Input text: Qu'en penses-tu.
DB path: __deriveddata__/DerivedObjects/Data/KcalMeDB_fr.sl3
Picto path: __deriveddata__/DerivedObjects/Data/PictoMatcherNetNG_fr.json
Sport grounding path: __deriveddata__/DerivedObjects/Data/DerivedSportMET.json
==================================================================================================================================
Prompt from user: Qu'en penses-tu.
==================================================================================================================================

==================================== Prompt =============================================
Identify in this list of intents: ["Identify food and beverage consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Qu'en penses-tu.###. 
 Format the result in JSON format: {"intents": []}.
=========================================================================================


------------------------------ LLM Raw response -----------------------------
{"intents": ["Other intent"]}
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
{"intents": ["Other intent"]}
------------------------------------------------------
ERROR: wrong object representation:
{'intents': ['Other intent']}

------------------------ After simplification ------------------------
{
    "intents": [
        "Other intent"
    ]
}
----------------------------------------------------------------------

--------------------------------- final result -----------------------------------
{'prompt': "Qu'en penses-tu.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Other intent'], 'solutions': {'nutrition': [], 'activity': [], 'response': {}}, 'cputime': 0.5675449371337891}
----------------------------------------------------------------------------------
LLM CPU Time: 0.5675449371337891