> ## Documentation Index
> Fetch the complete documentation index at: https://docs.packagesss.com/llms.txt
> Use this file to discover all available pages before exploring further.
# LLM
> Using the Large Language Model (LLM) package
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Our LLM package is a powerful tool that can generate text based on a prompt.
You can use the GPT-3.5 or GPT-4o models from OpenAI to generate text, with more models from other providers coming soon.
## Video Tutorial
Watch this video to see how to create a simple package using the LLM node.
## How do I add it to my package?
To add the LLM node to your package, right click on the workspace grid and select **Add Item**.
Then, select the **LLM** from the list of available nodes.
## Configuring the LLM node
When you first add the LLM node to your package, you will see an Untitled node with gpt-3.5 selected as the model.
Let's change the name of the node to something more descriptive, and set the prompt.
### Changing the name of the node
On the task panel on the right hand side of the screen, click on the "**Untitled**" text in the input field to change the name.
As soon as you change the name, it will be saved automatically.
For the purposes of this example, lets change our node name to **Generate Joke**.
And now, here's how our screen looks now that we've changed the name.
Perfect! We've got a descriptive name for our node. Now let's set the prompt!
### Setting the prompt
To set the prompt, click on the node in the workspace, and on the right-hand panel, edit the **Prompt** field.
Lets tell GPT to tell us a joke about cats.
Now that we've set the prompt, there is one last step. We have to add a **Finished** node to tell packages how we want this output to be formatted.
If we don't add a finished node, we won't be able to see our output. So lets do that!
## Adding a Finished node
The finished node tells the app how to format the output from all the various nodes within a package.
Right click on the workspace, and select **Add Item**. Then choose 🏁 Finished.
### Changing the name
Just like with the LLM node, you can change the name of the finished node by clicking on the **Untitled** text in the input field on the right-hand panel.
For this example, lets change the name of the finished node to **All Done**.
### Including the results from the LLM node
To get the output from our Generate Joke node, we need to *"@ tag"* the **Generate Joke** node in our output.
To do that, head to the **Template** portion of the finished node configuration on the right side of the screen.
Type **@Generate Joke** in the template field, and you'll see a dropdown appear.
Once you've selected the **Generate Joke** node, you'll see a placeholder appear in the template field.
## Run the package
Your first package using the LLM node is now ready to run! Hit the run package button to see the output.
And there you have it! You've successfully created a simple package using the LLM node.
## Configuration options
Here are all the different configuration options you can use with the LLM node.
The prompt is the text that you provide to the model to generate the output. You can use the prompt to ask questions, provide context, or give instructions to the model.
*Supports @ tagging*
The model option lets you choose which model you want to use to generate the output. You can choose from GPT-3.5, GPT-4o, with more models from other providers coming soon.
The max tokens option lets you set the maximum number of tokens that the model can generate. This can be useful if you want to limit the length of the output.
