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Updates to set up ai page #8097

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Nov 16, 2024
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Updates to set up ai page #8097

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13 changes: 13 additions & 0 deletions src/pages/[platform]/ai/set-up-ai/index.mdx
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Expand Up @@ -47,6 +47,12 @@ Before you begin, you will need:

You will also need an AWS account that is [setup for local development](/[platform]/start/account-setup) and has access to the Bedrock Foundation Model(s) you want to use. You can request access to Bedrock models by going in to the [Bedrock console and requesting access](https://console.aws.amazon.com/bedrock/home#/modelaccess).

<Callout>

Running inference on large language models (LLMs) can be costly. Amazon Bedrock is a serverless service so you only pay for what you use, but be mindful of the costs associated with building generative AI applications. [See Bedrock pricing for more information](https://aws.amazon.com/bedrock/pricing/).

</Callout>

## Create an Amplify backend

Run the create amplify script in your project directory:
Expand Down Expand Up @@ -107,6 +113,12 @@ const schema = a.schema({
});
```

<Callout>

Conversation routes currently ONLY support owner-based authorization and generation routes ONLY support non-owner-based authorization (`authenticated`, `guest`, `group`, `publicApiKey`).

</Callout>

If you have the Amplify sandbox running, when you save this file it will pick up the changes and redeploy the necessary resources for you.

## Connect your frontend
Expand Down Expand Up @@ -180,6 +192,7 @@ Call `Amplify.configure()` with the **amplify_outputs.json** file where the Reac

```tsx title="src/main.tsx"
import { Amplify } from 'aws-amplify';
import '@aws-amplify/ui-react/styles.css';
import outputs from '../amplify_outputs.json';

Amplify.configure(outputs);
Expand Down