{
    "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": "bafbe951-707b-43db-afb0-34ad24d4f8f3",
    "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
**Elapsed Time: 0.00 seconds**
ROUTING
Query type: summary
**Elapsed Time: 1.48 seconds**
RAG PARAMETERS
Max Context To Include: 120
Lowest Score to Consider: 0
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**Elapsed Time: 0.00 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: True
Use Similarity search?: False
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**Elapsed Time: 0.10 seconds**
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VECTOR SEARCH DONE 
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**Elapsed Time: 0.98 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: 0.18 seconds**
FINAL QUERY 
Final Query: CONTEXT: ##########
File: kb with doc 3.0.txt

Page: 1

Context: kb with doc 3.0
####################
File: FR%20Weekly%20Specials.docx

Page: 1

Context: Weekly Specials
Breakfast Specials
TODAY’S SELECTION:
BRAISED SHORT RIB BENEDICT……….$17
Toasted English muffin topped with slow braised short rib, poached eggs and hollansaise, finished with fresh micro greens  Served with home fries.
 BLUEBERRY MUFFIN TWO by TWO…$12
Blueberry muffin dipped and grilled as French toast served with two eggs, any style and choice of bacon or sausage.
.
 
 
.
 
 
 
 
Dinner Specials
             FALL SPECIALS
BURRATA PISTACHIO SALAD…..$18
Bed of arugula topped with Burrata cheese, pistachio-orange marmalade chutney, drizzled with aged balsamic reduction, served with toasted baguette.
AUTUMN KALE SALAD…….$16
Fresh kale, roasted maple butternut squash, pomegranate, toasted walnuts and goat cheese, served with apple cider vinaigrette
 
PUMPKIN SCALLOP RISOTTO……$34
Pan seared scallops over pumpkin risotto finished with crispy bacon, truffle herb oil and micro greens.  
BUTTERNUT SQUASH RAVIOLI….$25
####################
File: FR%20Weekly%20Specials.docx

Page: 2

Context: Ricotta filled ravioli tossed in a creamy butternut squash sauce, finished with crisp sage and brown butter, topped with micro greens
PIZZA SPECIAL…….$21/24
Braised Short Rib…..white based with house cheese blend, braised short rib, green onions, caramelized onion and a drizzle of BBQ sauce.
DESSERT SPECIALS……..
      Mini Donut Flight:     Four seasonal mini donuts……$10
      Carrot Cake…..$8
##########

"""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. If query is already asked in the history double check the correctness of your answer and maybe correct your previous mistake. Use as much tokens as needed but at the same time be as efficient as possible.
Final Files Sources: kb with doc 3.0.txt - Page 1, FR%20Weekly%20Specials.docx - Page 1, FR%20Weekly%20Specials.docx - Page 2
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**Elapsed Time: 2.36 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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