# Gemini Code Execution

The Gemini API code execution feature enables the model to generate and run Python code and learn iteratively from the results until it arrives at a final output. [Learn more...](https://ai.google.dev/gemini-api/docs/code-execution?lang=python#limitations)

### How to set up the Gemini Code Execution plugin?

No configuration is required for this plugin. However this plugin can only be used with the Gemini model from Google AI.

### How to use the Gemini Code Execution plugin?

1. Start a new chat with Google AI provider.  Select a model that supports Function Calling. Gemini 1.5 Pro performs the best according to Google 
2. Enable the plugin.
3. Enter your prompt.

It should look something like this

<figure><img src="https://3493584844-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FynYW2xZqA52spY7XgWis%2Fuploads%2FgWaDNeiouCvYyMo09nrg%2FCleanShot%202024-10-01%20at%2001.42.23%402x.png?alt=media&#x26;token=3202352c-3e91-4281-9d85-ac34ea853139" alt=""><figcaption><p>Gemini Code Execution in BoltAI</p></figcaption></figure>

### Limitation

These are limitations from the official [Google documentation](https://ai.google.dev/gemini-api/docs/code-execution?lang=python#limitations)

* The model can only generate and execute code. It can't return other artifacts like media files.
* The feature doesn't support file I/O or use cases that involve non-text output (for example, data plots or a CSV file upload).
* Code execution can run for a maximum of 30 seconds before timing out.
* In some cases, enabling code execution can lead to regressions in other areas of model output (for example, writing a story).
* There is some variation in the ability of the different models to use code execution successfully. Gemini 1.5 Pro is the best performing model, based on our testing.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.boltai.com/docs/plugins/gemini-code-execution.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.