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change Gemini model #150

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google-cla bot commented Aug 6, 2025

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Summary of Changes

Hello @JeffLi1993, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the Gemini AI model versions used in both the backend CLI example and the frontend input form. The changes involve moving from preview versions of gemini-2.5-pro and gemini-2.5-flash to their stable, non-preview counterparts. This ensures that the application utilizes the most current and stable iterations of these models.

Highlights

  • Backend Model Update: The default reasoning model in cli_research.py has been updated from gemini-2.5-pro-preview-05-06 to gemini-2.5-pro.
  • Frontend Model Update (Flash): The default gemini-2.5-flash model and its corresponding selectable option in InputForm.tsx have been updated from gemini-2.5-flash-preview-04-17 to gemini-2.5-flash.
  • Frontend Model Update (Pro): The gemini-2.5-pro selectable option in InputForm.tsx has been updated from gemini-2.5-pro-preview-05-06 to gemini-2.5-pro.
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Code Review

This pull request updates the Gemini model names from preview versions to stable versions across the backend example script and the frontend component. The changes are straightforward. My review focuses on improving maintainability by suggesting the use of constants or a centralized data structure for the model names to avoid hardcoded strings in multiple places. This will make the code more robust and easier to update in the future.

@@ -21,7 +21,7 @@ def main() -> None:
)
parser.add_argument(
"--reasoning-model",
default="gemini-2.5-pro-preview-05-06",
default="gemini-2.5-pro",

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medium

This model name is hardcoded. While this is an example script, it's a good practice to define such values as constants to improve readability and maintainability, especially if the value might be used elsewhere or change in the future.

@@ -26,7 +26,7 @@ export const InputForm: React.FC<InputFormProps> = ({
}) => {
const [internalInputValue, setInternalInputValue] = useState("");
const [effort, setEffort] = useState("medium");
const [model, setModel] = useState("gemini-2.5-flash-preview-04-17");
const [model, setModel] = useState("gemini-2.5-flash");

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medium

The default model is hardcoded here. This string must exactly match one of the SelectItem values below. Using a constant for the default model that is derived from a centralized list of models would make this more robust and prevent potential bugs caused by typos or inconsistencies.

Comment on lines 146 to 157
<SelectItem
value="gemini-2.5-flash-preview-04-17"
value="gemini-2.5-flash"
className="hover:bg-neutral-600 focus:bg-neutral-600 cursor-pointer"
>
<div className="flex items-center">
<Zap className="h-4 w-4 mr-2 text-orange-400" /> 2.5 Flash
</div>
</SelectItem>
<SelectItem
value="gemini-2.5-pro-preview-05-06"
value="gemini-2.5-pro"
className="hover:bg-neutral-600 focus:bg-neutral-600 cursor-pointer"
>

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medium

Hardcoding model names as string literals here and for the default model state on line 29 can lead to inconsistencies and makes maintenance difficult. If a model name changes, it needs to be updated in multiple places, which is error-prone.

Consider defining the available models as a data structure, like an array of objects, and then dynamically generating these SelectItem components by mapping over this array. The default state could also be derived from this single source of truth. This would centralize the model definitions, making them easier to update and ensuring consistency.

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