> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Test from the Playground

> Test prompts and model configurations over datasets in the LangSmith Playground without writing code.

The [Playground](/langsmith/prompt-engineering-concepts#playground) provides an interface for iterating on and testing prompts and model configurations. Test a prompt or model configuration over a series of inputs to see how well it scores across different contexts or scenarios, without writing any code.

In the Playground you can:

* Change the model being used.
* Change the prompt template being used.
* Change the output schema.
* Change the tools available.
* Enter the input variables to run through the prompt template.
* Run the prompt through the model and observe the outputs.

To test a prompt or model configuration over a dataset and score the results, [run an evaluation from the Playground](/langsmith/run-evaluation-from-playground).

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  Use the [Chat](/langsmith/chat) in the Playground to optimize prompts, generate tools, and create output schemas with AI assistance.
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## See also

* [Prompt engineering concepts: Playground](/langsmith/prompt-engineering-concepts#playground)
* [Manage datasets in the application: From the Playground](/langsmith/manage-datasets-in-application#from-the-playground)
* [Run an evaluation from the Playground: Create an experiment in the Playground](/langsmith/run-evaluation-from-playground#create-an-experiment-in-the-playground)
* [Chat: Playground](/langsmith/chat#playground)
* [Studio: Playground](/langsmith/observability-studio#playground)

***

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