{
    "query": "testing for dislike button",
    "namespace": "",
    "messages": [
        {
            "role": "assistant",
            "content": "\ud83e\udd16\u2728 Hello, I am Simon, your personal assistant! \ud83c\udf1f How can I assist you today? Let's work together to answer your questions, overcome challenges, and achieve your goals! Just ask, and I am here for you."
        },
        {
            "role": "user",
            "content": "testing for dislike button"
        },
        {
            "role": "assistant",
            "content": ""
        }
    ],
    "stream": true,
    "language_level": "",
    "chat_channel": "kios:72:1727351380404",
    "language": "German",
    "tone": "neutral",
    "writing_style": "standard",
    "model": "gpt-4o-mini-2024-07-18",
    "knowledgebase": "ki-dev-large",
    "seed": 1,
    "client_id": 1727351380404,
    "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: testing for dislike button
Model: gpt-4o-mini-2024-07-18
Use Curl?: None
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**Elapsed Time: 0.00 seconds**
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ROUTING
Query type: research
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**Elapsed Time: 7.56 seconds**
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RAG PARAMETERS
Max Context To Include: 20
Lowest Score to Consider: 0.5
==================================================
**Elapsed Time: 0.14 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
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**Elapsed Time: 0.10 seconds**
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VECTOR SEARCH DONE 
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**Elapsed Time: 0.61 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 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.
        
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**Elapsed Time: 0.17 seconds**
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FINAL QUERY 
Final Query: CONTEXT: 

"""QUERY: testing for dislike button"""

Consider the chat history for relevant information.

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: 
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**Elapsed Time: 0.47 seconds**
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FINAL ANSWER 
Answer: It seems you are testing for a dislike button. Could you please clarify what specific aspects you are looking to test? For example, are you interested in:

1. **Functionality**: How the dislike button operates within the system.
2. **User Experience**: How users perceive and interact with the dislike button.
3. **Data Tracking**: How dislikes are recorded and analyzed.
4. **Integration**: How the dislike button fits within existing features.

Here are some related questions you might consider asking:

1. What are the best practices for implementing a dislike button?
2. How can user feedback be effectively gathered regarding the dislike button?
3. What impact does a dislike button have on user engagement?
4. Are there any potential drawbacks to adding a dislike button?
5. How can we ensure that the dislike button is used appropriately by users?

Feel free to provide more details or ask any of the suggested questions!
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**Elapsed Time: 2.27 seconds**
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