{
    "query": "Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context",
    "namespace": "4bccfec7-d771-4178-ab82-153f38ed50ea",
    "messages": [],
    "stream": false,
    "language_level": "",
    "chat_channel": "",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gemini-1.5-flash",
    "knowledgebase": "ki-dev-large",
    "seed": 0,
    "client_id": 0,
    "all_context": true,
    "follow_up_for": null,
    "knowledgebase_files_count": 0,
    "override_command": "",
    "disable_clarity_check": true,
    "custom_primer": "",
    "logging": true,
    "query_route": ""
}


INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context
Model: gemini-1.5-flash
Use Curl?: 
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**Elapsed Time: 0.00 seconds**
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ROUTING
Query type: summary
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**Elapsed Time: 1.55 seconds**
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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: 0.21 seconds**
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FINAL QUERY 
Final Query: CONTEXT: ##########
File: conversation-kb%20dont%20delete-1726248995497.docx

Page: 1

Context: Hello! 👋 I'm Simon, your personal assistant. How can I help you today? 😊 
Is there anything specific you'd like to know or discuss?
####################
File: conversation-kb%20dont%20delete-20240913_173638.txt

Page: 1

Context: Hello! 👋  I'm Simon, your personal assistant. How can I help you today? 😊 

Is there anything specific you'd like to know or discuss?
####################
File: conversation-kb%20dont%20delete-20240913_173618.pdf

Page: 1

Context: Hello! 👋 I'm Simon, your personal assistant. How can I help you today? 😊

Is there anything specific you'd like to know or discuss?
####################
File: conversation-kb%20dont%20delete-20240913_173630.xlsx

Page: 1

Context: | Hello! 👋  I'm Simon, your personal assistant. How can I help you today? 😊   |
|:------------------------------------------------------------------------------|
| Is there anything specific you'd like to know or discuss?                     |
##########

"""QUERY: Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context"""

Consider the chat history for relevant information. Use all information included. Use as much tokens as needed. Important: If you find information separated by a | in the context, it is a table formatted in Markdown.
Final Files Sources: conversation-kb%20dont%20delete-1726248995497.docx - Page 1, conversation-kb%20dont%20delete-20240913_173638.txt - Page 1, conversation-kb%20dont%20delete-20240913_173618.pdf - Page 1, conversation-kb%20dont%20delete-20240913_173630.xlsx - Page 1
==================================================
**Elapsed Time: 1.78 seconds**
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FINAL ANSWER 
Answer: <IPython.core.display.Markdown object>
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**Elapsed Time: 0.00 seconds**
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