Input path: /home/debian/html/nutritwin/output_llm/66843a4421086/input.json
Output path: /home/debian/html/nutritwin/output_llm/66843a4421086/output.json
Input text: De quoi
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: De quoi
==================================================================================================================================
==================================== Prompt =============================================
Identify in this list of intents: ["Identify food consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###De quoi###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
{
"intents": []
}
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
{
"intents": []
}
```
------------------------------------------------------
------------------------ After simplification ------------------------
{ "intents": []}
----------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'De quoi', 'intents': [], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [], 'activity': [], 'response': {}}, 'cputime': 0.8696169853210449}
----------------------------------------------------------------------------------
LLM CPU Time: 0.8696169853210449