> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Fireworks

> Learn how to use Fireworks models in Agno.

Fireworks is a platform for providing endpoints for Large Language models.

## Authentication

Set your `FIREWORKS_API_KEY` environment variable. Get your key from [here](https://fireworks.ai/account/api-keys).

<CodeGroup>
  ```bash Mac theme={null}
  export FIREWORKS_API_KEY=***
  ```

  ```bash Windows theme={null}
  setx FIREWORKS_API_KEY ***
  ```
</CodeGroup>

## Prompt caching

Prompt caching will happen automatically using our `Fireworks` model. You can read more about how Fireworks handle caching in [their docs](https://docs.fireworks.ai/guides/prompt-caching#using-prompt-caching).

## Example

Use `Fireworks` with your `Agent`:

<CodeGroup>
  ```python agent.py theme={null}
  from agno.agent import Agent, RunResponse
  from agno.models.fireworks import Fireworks

  agent = Agent(
      model=Fireworks(id="accounts/fireworks/models/firefunction-v2"),
      markdown=True
  )

  # Print the response in the terminal
  agent.print_response("Share a 2 sentence horror story.")

  ```
</CodeGroup>

<Note> View more examples [here](../examples/models/fireworks). </Note>

## Params

<Snippet file="model-fireworks-params.mdx" />

`Fireworks` also supports the params of [OpenAI](/reference/models/openai).