INITIALIZATION
Knowledgebase: ki-dev-large
Base Query: Which components are included in the automation system request? Tabular list of the answers as follows: Number of loaders or robots, conveyors, SPC, additional components, process controls, determination of loader size.
Model: gemini-1.5-pro-preview-0409
Use Curl?: 
==================================================
**Elapsed Time: 0.00 seconds**
==================================================


ROUTING
Query type: list
==================================================
**Elapsed Time: 1.79 seconds**
==================================================


RAG PARAMETERS
Max Context To Include: 100
Lowest Score to Consider: 0.1
==================================================
**Elapsed Time: 0.00 seconds**
==================================================


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


VECTOR SEARCH DONE 
==================================================
**Elapsed Time: 6.24 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: 0.19 seconds**
==================================================


AN ERROR OCCURED in send_message() 
Error Message: The model response did not completed successfully.
Finish reason: 2.
Finish message: .
Safety ratings: [category: HARM_CATEGORY_HATE_SPEECH
probability: NEGLIGIBLE
probability_score: 0.2265625
severity: HARM_SEVERITY_NEGLIGIBLE
severity_score: 0.131835938
, category: HARM_CATEGORY_DANGEROUS_CONTENT
probability: NEGLIGIBLE
probability_score: 0.17578125
severity: HARM_SEVERITY_NEGLIGIBLE
severity_score: 0.0942382812
, category: HARM_CATEGORY_HARASSMENT
probability: NEGLIGIBLE
probability_score: 0.168945312
severity: HARM_SEVERITY_NEGLIGIBLE
severity_score: 0.1328125
, category: HARM_CATEGORY_SEXUALLY_EXPLICIT
probability: NEGLIGIBLE
probability_score: 0.192382812
severity: HARM_SEVERITY_NEGLIGIBLE
severity_score: 0.130859375
].
To protect the integrity of the chat session, the request and response were not added to chat history.
To skip the response validation, specify `model.start_chat(response_validation=False)`.
Note that letting blocked or otherwise incomplete responses into chat history might lead to future interactions being blocked by the service.
==================================================
**Elapsed Time: 266.45 seconds**
==================================================