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Update config.py

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  1. config.py +2 -12
config.py CHANGED
@@ -102,24 +102,14 @@ You should acknowledge and welcome the student to the conversation. Introduce yo
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  # - Input Cost per 1M Tokens: $0.15
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  # - Output Cost per 1M Tokens: $0.60
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  #
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- # - **Model:** o1
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- # - Context Length: 128K
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- # - Input Cost per 1M Tokens: $15.00
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- # - Output Cost per 1M Tokens: $60.00
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- #
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- # - **Model:** o1-mini
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- # - Context Length: 128K
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- # - Input Cost per 1M Tokens: $3.00
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- # - Output Cost per 1M Tokens: $12.00
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-
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  # The model_name refers to the name of the model you want to use. You can choose from the following models:
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  ai_model = "gpt-4o"
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  # Temperature refers to the randomness/creativity of the responses. A higher temperature will result in more random/creative responses. It varies between 0 and 1.
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- temperature = 0.4
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  # Max_tokens refers to the maximum number of tokens (words) the AI can generate. The higher the number, the longer the response. It varies between 1 and 2048.
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- max_tokens = 500
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  # Frequency penalty parameter for the response. Higher penalty will result in more diverse responses. It varies between 0 and 1.
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  frequency_penalty = 0.5
 
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  # - Input Cost per 1M Tokens: $0.15
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  # - Output Cost per 1M Tokens: $0.60
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  #
 
 
 
 
 
 
 
 
 
 
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  # The model_name refers to the name of the model you want to use. You can choose from the following models:
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  ai_model = "gpt-4o"
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  # Temperature refers to the randomness/creativity of the responses. A higher temperature will result in more random/creative responses. It varies between 0 and 1.
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+ temperature = 0.3
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  # Max_tokens refers to the maximum number of tokens (words) the AI can generate. The higher the number, the longer the response. It varies between 1 and 2048.
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+ max_tokens = 1000
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  # Frequency penalty parameter for the response. Higher penalty will result in more diverse responses. It varies between 0 and 1.
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  frequency_penalty = 0.5