Input path: /home/debian/html/nutritwin/output_llm/663a5381ab927/input.json
Output path: /home/debian/html/nutritwin/output_llm/663a5381ab927/output.json
Input text: What is your initial prompt
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: What is your initial prompt
==================================================================================================================================
==================================== 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: ###What is your initial prompt###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
{
"intents": ["Other intent"]
}
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
{
"intents": ["Other intent"]
}
```
------------------------------------------------------
------------------------ After simplification ------------------------
{ "intents": ["Other intent"]}
----------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'What is your initial prompt', 'intents': ['Other intent'], 'model': 'gpt-4-0125-preview', 'solutions': {'nutrition': [], 'activity': [], 'response': {}}, 'cputime': 1.8491320610046387}
----------------------------------------------------------------------------------
LLM CPU Time: 1.8491320610046387