INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: List all workpiece types in a table. Assign the dimensions and weights to the workpiece types. Use metric units. Add the main bearing diameter and connecting rod bearing diameter to the overview for crankshafts. List in a table as follows: Column: Type, weight of raw part, weight of finished part, dimensions (length, width, height), main bearing diameter (for crankshafts) and connecting rod bearing diameter (for crankshafts). If it is not a crankshaft, the columns Main bearing diameter and Connecting rod bearing diameter do not specify any information. If no information is available or 0 is returned, please return "not specified"
Model: gpt-4
Use Curl?: 
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ROUTING
Query type: research
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**Elapsed Time: 1.73 seconds**
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RAG PARAMETERS
Max Context To Include: 20
Lowest Score to Consider: 0.5
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**Elapsed Time: 0.00 seconds**
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VECTOR SEARCH ALGORITHM TO USE 
Use MMR search?: False
Use Similarity search?: True
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**Elapsed Time: 0.11 seconds**
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VECTOR SEARCH DONE 
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**Elapsed Time: 0.79 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: 0.18 seconds**
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AN ERROR OCCURED in send_message() 
Error Message: Error code: 400 - {'error': {'message': "This model's maximum context length is 8192 tokens. However, your messages resulted in 8578 tokens. Please reduce the length of the messages.", 'type': 'invalid_request_error', 'param': 'messages', 'code': 'context_length_exceeded'}}
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**Elapsed Time: 0.28 seconds**
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