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docs.json

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"group": "Development",
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"pages": [
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"serverless/development/logs",
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"serverless/development/ssh-into-workers",
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"serverless/development/overview",
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"serverless/development/local-testing",
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"serverless/development/cleanup",

hub/public-endpoints.mdx

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description: "Test and deploy production-ready AI models using Public Endpoints."
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---
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<Frame alt="Public Endpoints homepage">
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<img src="/images/public-endpoints-home.png" />
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</Frame>
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Runpod Public Endpoints provide instant access to state-of-the-art AI models through simple API calls, with an API playground available through the [Runpod Hub](/hub/overview).
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## Available models
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## Public Endpoint playground
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<Frame alt="Public Endpoint playground">
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<img src="/images/public-endpoint-playground.png" />
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</Frame>
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The Public Endpoint playground provides a streamlined way to discover and experiment with AI models.
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The playground offers:
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### Create a code example
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<Frame alt="Public Endpoint code example">
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<img src="/images/public-endpoint-api-playground.png" />
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</Frame>
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After inputting parameters using the playground, you can automatically generate an API request to use in your application.
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1. Select the **API** tab in the UI (above the **Input** field).

images/browse-pod-templates.png

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images/endpoint-settings.png

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images/model-cache-setting.png

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images/pod-connection-options.png

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images/pod-pricing.png

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images/pods-deploy.png

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