{
    "query": "Message 1",
    "namespace": "",
    "messages": [
        {
            "role": "assistant",
            "content": "\ud83e\udd16\u2728 Hallo, ich bin Simon, Ihr pers\u00f6nlicher Assistent! \ud83c\udf1f Wie kann ich Ihnen heute behilflich sein? Lassen Sie uns gemeinsam Ihre Fragen kl\u00e4ren, Herausforderungen meistern und Ihre Ziele erreichen! Einfach fragen, und ich bin f\u00fcr Sie da."
        },
        {
            "role": "user",
            "content": "Message 1"
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": ":4240:1727699489000",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 1031,
    "client_id": 1727699489000,
    "all_context": false,
    "follow_up_for": null,
    "knowledgebase_files_count": null,
    "override_command": null,
    "disable_clarity_check": false,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: Message 1
Model: gemini-1.5-flash
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: summary
**Elapsed Time: 2.27 seconds**
RAG PARAMETERS
Max Context To Include: 100
Lowest Score to Consider: 0.1
==================================================
**Elapsed Time: 0.14 seconds**
==================================================


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


VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 0.76 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 summarization and analysis.

            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.

            Use as much tokens as possible to provide a detailed response.
        
**Elapsed Time: 0.18 seconds**
GEMINI ERROR -- FALLBACK TO GPT
==================================================


FINAL QUERY 
Final Query: CONTEXT: 

"""QUERY: Message 1"""

Consider the chat history for relevant information. Use all information included. Use as much tokens as needed.

Important: Take a look at the QUERY and only the QUERY. Please try always to answer the query question. If the client ask for a formatting structure follow his advise. But if the questions is vague or unclear ask a follow-up question based on the context.  Try to support the customer give him also suggestions as a list of multiple suggestions at least 3-6 what he can also ask as related questions or follow-up questions.


Final Files Sources: 
==================================================
**Elapsed Time: 0.45 seconds**
==================================================


FINAL ANSWER 
Answer: test
==================================================
**Elapsed Time: 0.80 seconds**
==================================================