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

# Using Secrets

> Learn how to create secrets that can be utilized within your reward function.

# Creating Secrets

<Steps>
  <Step title="Navigate to the secrets page on your dashboard">
    <img src="https://mintcdn.com/fireworksai/XAK4ji8XrlzPoITj/images/new.png?fit=max&auto=format&n=XAK4ji8XrlzPoITj&q=85&s=a63cbfa0cd460f52df1cda7ede738bd9" alt="new.png" width="1540" height="1106" data-path="images/new.png" />
  </Step>

  <Step title="Create a new secret">
    <img src="https://mintcdn.com/fireworksai/XAK4ji8XrlzPoITj/images/test.png?fit=max&auto=format&n=XAK4ji8XrlzPoITj&q=85&s=dc8f49aed4dfe71efe8495d846fbc87b" alt="test.png" width="1826" height="964" data-path="images/test.png" />

    All secrets created here will be injected as environment variables for your Evaluator to access.
  </Step>

  <Step title="Update the Evaluator to access the new secret">
    <img src="https://mintcdn.com/fireworksai/XAK4ji8XrlzPoITj/fine-tuning/openai_secret.png?fit=max&auto=format&n=XAK4ji8XrlzPoITj&q=85&s=e7d93aca5495fc3a0c1813fc202536bd" alt="openai_secret.png" width="1462" height="1420" data-path="fine-tuning/openai_secret.png" />
  </Step>
</Steps>

And that's it! If you want to learn more about creating evaluators, see:

1. Learn about [Evaluation](/fine-tuning/evaluators) and [Eval Protocol](https://evalprotocol.io/introduction) for evaluator authoring