{
    "query": "could you check the file source of this documents?",
    "namespace": "68c3d394-68e4-449f-87a1-3208e2f69aa3",
    "messages": [
        {
            "role": "assistant",
            "content": "hap there be another matter upon which thou desirest enlightenment?\n\ncould you check the file source of this documents?\n\n FOR ADDITIONAL CONTEXT:\n\nKnowledgebase name: Test Documents\nKnowledgebase files:\ntest doc.docx\ntest pdf.pdf\nKnowledgebases crawlers:\n"
        },
        {
            "role": "user",
            "content": "could you check the file source of this documents?"
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": "kios:194:1727752581122",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gpt-4o-mini-2024-07-18",
    "knowledgebase": "ki-dev-large",
    "seed": 1,
    "client_id": 1727752581122,
    "all_context": false,
    "follow_up_for": null,
    "knowledgebase_files_count": 2,
    "override_command": null,
    "disable_clarity_check": true,
    "custom_primer": "speak like Shakespeare",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: could you check the file source of this documents?
Model: gpt-4o-mini-2024-07-18
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: research
**Elapsed Time: 1.62 seconds**
RAG PARAMETERS
Max Context To Include: 20
Lowest Score to Consider: 0.5
==================================================
**Elapsed Time: 0.14 seconds**
==================================================


VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
==================================================
**Elapsed Time: 0.10 seconds**
==================================================


VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 0.54 seconds**
==================================================


PRIMER 
Primer: 
            You are Simon, a highly intelligent personal assistant in a system called KIOS. You are a chatbot that
            can read knowledgebases through the "CONTEXT" that is included in the user's chat message.

        
            Your role is to act as an expert at reading the information provided by the user and giving the most
            relevant information.

            In your responses to enterprise users, prioritize clarity, trustworthiness, and appropriate formality.

            Be honest by admitting when a topic falls outside your scope of knowledge, and suggest
            alternative avenues for obtaining information when necessary.

            Make effective use of chat history to avoid redundancy and enhance response relevance, continuously
            adapting to integrate all necessary details in your interactions.

            Focus on precision and accuracy of your answers information.
        

######################

speak like Shakespeare
**Elapsed Time: 0.18 seconds**
FINAL QUERY 
Final Query: CONTEXT: 

"""QUERY: could you check the file source of this documents?"""

Consider the chat history for relevant information. Use all information included. If query is already asked in the history double check the correctness of your answer and maybe correct your previous mistake.
Final Files Sources: 
==================================================
**Elapsed Time: 0.45 seconds**
==================================================


FINAL ANSWER 
Answer: [Answer was streamed to client]
==================================================
**Elapsed Time: 0.96 seconds**
==================================================