add support for gpt-4-turbo model

[riya-amemiya]

User description

Updated to support the new models added to OpenAI.

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Type

enhancement

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Description

• Added support for two new models: gpt-4-turbo-2024-04-09 and gpt-4-turbo, both with a token limit of 128K. This enhances the application's compatibility with the latest models from OpenAI.

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Changes walkthrough

	Relevant files
Enhancement	__init__.py Add Support for GPT-4 Turbo Models                                              pr_agent/algo/init.py Added support for gpt-4-turbo-2024-04-09 model with a token limit of 128K. Added support for gpt-4-turbo model with a token limit of 128K. +2/-0

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PR Description updated to latest commit (108b1af)

• Copy walkthrough table to "Files Changed" Tab

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PR Review

⏱️ Estimated effort to review [1-5]	1, because the changes are straightforward and involve adding two new model configurations to an existing dictionary of models. The modifications are clear and limited to a single file, making the review process quick and easy.
🏅 Score	95
🧪 Relevant tests	No
🔍 Possible issues	No
🔒 Security concerns	No
🔀 Multiple PR themes	No

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PR Code Suggestions

Category

Suggestions

Maintainability

Use a constant for the token limit value to improve maintainability. Consider using a constant for the token limit value (128000) to avoid repetition and to make future updates easier. This will improve maintainability, especially if the token limit needs to be updated across multiple model configurations. pr_agent/algo/init.py [13-15] -'gpt-4-turbo-preview': 128000, # 128K, but may be limited by config.max_model_tokens -'gpt-4-turbo-2024-04-09': 128000, # 128K, but may be limited by config.max_model_tokens -'gpt-4-turbo': 128000, # 128K, but may be limited by config.max_model_tokens +MAX_TOKENS = 128000 # 128K, but may be limited by config.max_model_tokens +'gpt-4-turbo-preview': MAX_TOKENS, +'gpt-4-turbo-2024-04-09': MAX_TOKENS, +'gpt-4-turbo': MAX_TOKENS,

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[mrT23]

@riya-amemiya looks good.

If the new model (gpt-4-turbo-2024-04-09) will show superior results over the prev one, maybe in time we will consider making it the new default model.

We might consider also possible usage for the vision mode