Added "JSON_mode" notebook for javascript #854
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| ## Setup | ||
| ### Install SDK and set-up the client |
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Two level 3 titles without anything in between
| // [CODE ENDS] | ||
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| /* Markdown (render) | ||
| ## Set your constrained output in the prompt |
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I think you should first explain what Json mode is.
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Check how we do it in the documentation, but µI think we should explain why you would need to use json mode (like an example), and then how it works.
| // [CODE ENDS] | ||
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| /* Markdown (render) | ||
| Now select the model you want to use in this guide, either by selecting one in the list or writing it down. Keep in mind that some models, like the 2.5 ones are thinking models and thus take slightly more time to respond (cf. [thinking notebook](./Get_started_thinking.ipynb) for more details and in particular learn how to switch the thiking off). |
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Wrong link (point to the python cookbook for now as it will be easier to find them all and fix them)
| prompt = ` | ||
| List a few popular cookie recipes using this JSON schema: | ||
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| Recipe = {'recipe_name': str} |
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I think you should also explain where the format comes from since it's a python thing if I'm not mistaken.
| /* Markdown (render) | ||
| ## Supply the schema to the model directly | ||
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| The newest models (1.5 and beyond) allow you to pass a schema object (or a python type equivalent) directly and the output will strictly follow that schema. |
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I think we can drop the "newest models" as the older ones are not available anymore.
| ``` | ||
| [ | ||
| { | ||
| "recipe_name": "Chocolate Chip Cookies" |
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I think there's an encoding error here.
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| ### Continue your discovery of the Gemini API | ||
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| JSON is not the only way to constrain the output of the model, you can also use an [Enum](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Enum.ipynb). [Function calling](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Function_calling.ipynb) and [Code execution](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Code_Execution.ipynb) are other ways to enhance your model by either using your own functions or by letting the model write and run them. |
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Maybe add a link to the quickstart as that's the only one we have at the moment.
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