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content/admin/managing-your-enterprise-account/about-enterprise-accounts.md

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## What are enterprise accounts?
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{% ifversion ghec %}
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> [!NOTE] Currently, {% data variables.product.prodname_ghe_cloud %} customers who use a single organization are being automatically upgraded to an enterprise account at no additional cost. For details, see [AUTOTITLE](/admin/managing-your-enterprise-account/creating-an-enterprise-account#what-will-happen-after-i-upgrade-my-organization).
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> [!NOTE] {% data variables.product.prodname_ghe_cloud %} customers who use a single organization are being automatically upgraded to an enterprise account at no additional cost. For details, see [AUTOTITLE](/admin/managing-your-enterprise-account/creating-an-enterprise-account#what-will-happen-after-i-upgrade-my-organization).
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{% endif %}
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An enterprise account enables centralized management for **multiple organizations**.
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content/admin/managing-your-enterprise-account/creating-an-enterprise-account.md

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- /admin/overview/creating-an-enterprise-account
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---
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{% data reusables.enterprise.single-organizations-enterprise-migration %}
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## When should I create an enterprise account?
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content/billing/tutorials/automate-usage-reporting.md

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For more detailed information and an example call and response, see [Get billing usage report for an enterprise](/rest/enterprise-admin/billing?apiVersion=2022-11-28#get-billing-usage-report-for-an-enterprise) or [Get billing usage report for an organization](/rest/billing/enhanced-billing?apiVersion=2022-11-28#get-billing-usage-report-for-an-organization) .
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## Migrating from the endpoints used for the previous billing platform
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The previous billing platform provided three different endpoints for usage data:
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{% endrowheaders %}
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content/github-models/github-models-at-scale/use-models-at-scale.md

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## Best practices for using {% data variables.product.prodname_github_models %} at scale
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The following best practices can help you effectively use {% data variables.product.prodname_github_models %} across your organization.
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### Compare and evaluate AI models for governance and compliance
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Review and compare available AI models against your company’s governance, data security, and compliance requirements. You can do this in any Models-enabled {% data variables.product.github %} repository or in the {% data variables.product.prodname_github_models %} catalog from the {% data variables.product.prodname_marketplace %} at https://github.com/marketplace?type=models. Your considerations may include:
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important questions.
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- role: user
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content: 'Summarize this issue, please - {% raw %}{{input}}{% endraw %}'
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model: gpt-4o
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model: openai/gpt-4o
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modelParameters:
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max_tokens: 4096
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```

content/github-models/quickstart.md

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## Step 1: Try models in the playground
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1. Go to **[https://github.com/marketplace/models](https://github.com/marketplace/models)**.
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1. In the playground, select at least one model from the dropdown menu.
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1. Test out different prompts using the **Chat** view, and compare responses from different models.
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1. Use the **Parameters** view to customize the parameters for the models you are testing, then see how they impact responses.
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1. To try other models, change the value of the `model` field in the JSON payload to one from the [marketplace](https://github.com/marketplace/models).
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## Step 3: Run models in GitHub Actions
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## Step 3: Run models in {% data variables.product.prodname_actions %}
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1. In your repository, create a workflow file at `.github/workflows/models-demo.yml`.
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1. Paste the following workflow into the file you just created.
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```yaml copy
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{% data variables.product.prodname_github_models %} supports reusable prompts defined in `.prompt.yml` files. Once you add this file to your repository, it will appear in the Models page of your repository and can be run directly in the Prompt Editor and evaluation tooling. Learn more about [AUTOTITLE](/github-models/use-github-models/storing-prompts-in-github-repositories).
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1. In your repository, create a file named `summarize.prompt.yml`. You can save it in any directory.
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1. Paste the following example prompt into the file you just created.
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```yaml copy
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name: Text Summarizer
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description: Summarizes input text concisely
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model: openai/gpt-4o-mini
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messages:
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1. Commit and push the file to your repository.
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1. Go to the **Models** tab in your repository.
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1. In the navigation menu, click **{% octicon "note" aria-hidden="true" aria-label="none" %} Prompts**, then click on the prompt file.
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1. The prompt will open in the prompt editor. Click **Run**. A right-hand sidebar will appear asking you to enter input text. Enter any input text, then click **Run** again in the bottom right corner to test it out.
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> [!NOTE]
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Evaluations help you measure how different models respond to the same inputs so you can choose the best one for your use case.
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1. Go back to the `summarize.prompt.yml` file you created in the previous step.
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1. Update the file to match the following example.
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```yaml copy
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name: Text Summarizer
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description: Summarizes input text concisely
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model: openai/gpt-4o-mini
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1. Commit and push the file to your repository.
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1. In your repository, click the **Models** tab. Then click **{% octicon "note" aria-hidden="true" aria-label="none" %} Prompts** and reopen the same prompt in the prompt editor.
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1. In the top left-hand corner, you can toggle the view from **Edit** to **Compare**. Click **Compare**.
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1. Your evaluation will be set up automatically. Click **Run** to see results.
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content/github-models/use-github-models/storing-prompts-in-github-repositories.md

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Prompts can be stored as files directly within GitHub repositories. This unlocks the ability to view your prompts in an organized UI, share them with non-technical stakeholders, and run seamless iterations and comparisons on adjustments to models and prompts.
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Prompts can be stored as files directly within {% data variables.product.github %} repositories. This unlocks the ability to view your prompts in an organized UI, share them with non-technical stakeholders, and run seamless iterations and comparisons on adjustments to models and prompts.
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## Benefits
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* Easy integration with the new suite of AI development tools directly on GitHub.
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* Easy integration with the new suite of AI development tools directly on {% data variables.product.github %}.
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* Simple and scalable from simple to complex use cases.
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* Uses a widely supported format, compatible with existing tools.
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content/migrations/overview/migration-paths-to-github.md

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In our recommendations, we'll assume that you want the highest level of fidelity if possible, which includes source, history, and metadata.
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> Enterprise Cloud Importer (ECI) and the GraphQL endpoints for importing migration data to {% data variables.product.prodname_ghe_cloud %} from an archive are closing down on March 31, 2025. After this date, these tools can not be used to import repository data into GitHub's cloud-based products. We recommend using {% data variables.product.prodname_importer_proper_name %} (GEI). See [AUTOTITLE](/migrations/using-github-enterprise-importer/understanding-github-enterprise-importer/about-github-enterprise-importer).
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## Migrations to {% data variables.product.prodname_dotcom_the_website %}
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You can review the scope and tooling for your migration to {% data variables.product.prodname_dotcom_the_website %}, which includes migrations to {% data variables.product.prodname_ghe_cloud %}. You can also review any additional information or caveats.

content/organizations/collaborating-with-groups-in-organizations/about-organizations.md

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## Organizations and enterprise accounts
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{% ifversion ghec %}
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> [!NOTE] Currently, {% data variables.product.prodname_ghe_cloud %} customers who use a single organization are being automatically upgraded to an enterprise account at no additional cost. For details, see [AUTOTITLE](/admin/managing-your-enterprise-account/creating-an-enterprise-account#what-will-happen-after-i-upgrade-my-organization).
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> [!NOTE] {% data variables.product.prodname_ghe_cloud %} customers who use a single organization are being automatically upgraded to an enterprise account at no additional cost. For details, see [AUTOTITLE](/admin/managing-your-enterprise-account/creating-an-enterprise-account#what-will-happen-after-i-upgrade-my-organization).
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Enterprise accounts are a feature of {% data variables.product.prodname_ghe_cloud %} that allow owners to centrally manage policy and billing for multiple organizations. For more information, see [the {% data variables.product.prodname_ghe_cloud %} documentation](/enterprise-cloud@latest/organizations/collaborating-with-groups-in-organizations/about-organizations).
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If you currently use {% data variables.product.prodname_ghe_cloud %} with a single organization, we encourage you to create an enterprise account.
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> [!NOTE] Currently, {% data variables.product.prodname_ghe_cloud %} customers who use a single organization are being automatically upgraded to an enterprise account at no additional cost. For details, see [AUTOTITLE](/admin/managing-your-enterprise-account/creating-an-enterprise-account#what-will-happen-after-i-upgrade-my-organization).
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