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content/actions/concepts/workflows-and-actions/reusing-workflow-configurations.md

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| Each step is logged in real-time | Logged as one step even if it contains multiple steps |
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| Can connect a maximum of {% ifversion fpt or ghec %}ten {% else %}four {% endif %}levels of workflows | Can be nested to have up to 10 composite actions in one workflow |
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| Can use secrets | Cannot use secrets |
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| Cannot be published to the [marketplace](https://github.com/marketplace?type=actions) | Can be published to the [marketplace](https://github.com/marketplace?type=actions) |
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## Workflow templates
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content/actions/reference/workflows-and-actions/events-that-trigger-workflows.md

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```
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## image_version_ready
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## `image_version`
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| Webhook event payload | Activity types | `GITHUB_SHA` | `GITHUB_REF` |
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|----------------------| -------------- | ------------ | -------------|

content/code-security/dependabot/working-with-dependabot/dependabot-options-reference.md

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## `cooldown` {% octicon "versions" aria-label="Version updates" height="24" %}
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Defines a **cooldown period** for dependency updates, allowing updates to be delayed for a configurable number of days. The `coooldown` option is only available for _version_ updates, not _security_ updates.
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Defines a **cooldown period** for dependency updates, allowing updates to be delayed for a configurable number of days. The `cooldown` option is only available for _version_ updates, not _security_ updates.
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This feature enables users to customize how often {% data variables.product.prodname_dependabot %} generates new version updates, offering greater control over update frequency. For examples, see [AUTOTITLE](/code-security/dependabot/dependabot-version-updates/optimizing-pr-creation-version-updates#setting-up-a-cooldown-period-for-dependency-updates).
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content/copilot/reference/ai-models/model-hosting.md

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* {% data variables.copilot.copilot_gpt_51_codex %}
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* {% data variables.copilot.copilot_gpt_51_codex_mini %}
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{% data variables.copilot.copilot_gpt_41 %} is hosted by {% data variables.product.github %}'s Azure tenant when used in {% data variables.product.prodname_copilot %}.
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These models are hosted by OpenAI and {% data variables.product.github %}'s Azure infrastructure.
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{% data variables.copilot.copilot_gpt_51 %}, {% data variables.copilot.copilot_gpt_51_codex %}, {% data variables.copilot.copilot_gpt_51_codex_mini %}, {% data variables.copilot.copilot_gpt_5_codex %}, {% data variables.copilot.copilot_gpt_5 %}, and {% data variables.copilot.copilot_gpt_5_mini %} models are hosted by OpenAI and {% data variables.product.github %}'s Azure tenant. OpenAI makes the [following data commitment](https://openai.com/enterprise-privacy/): _We [OpenAI] do not train our models on your business data by default_. {% data variables.product.github %} maintains a [zero data retention agreement](https://platform.openai.com/docs/guides/your-data) with OpenAI.
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OpenAI makes the [following data commitment](https://openai.com/enterprise-privacy/): _We [OpenAI] do not train models on customer business data_. Data processing follows OpenAI's enterprise privacy comments.
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When using OpenAI's models, input requests and output responses continue to run through {% data variables.product.prodname_copilot %}'s content filters for public code matching, when applied, along with those for harmful or offensive content.
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{% data variables.product.github %} maintains a [zero data retention agreement](https://platform.openai.com/docs/guides/your-data) with OpenAI.
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All input requests and output responses processed by {% data variables.product.prodname_copilot %}'s models continue to pass through GitHub Copilot's, content filtering systems. These filters include checks for public code matches (when applied) as well as mechanisms to detect and block harmful or offensive content.
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## OpenAI models fine-tuned by Microsoft
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* {% data variables.copilot.copilot_claude_opus_41 %}
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* {% data variables.copilot.copilot_claude_sonnet_40 %}
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{% data variables.copilot.copilot_claude_haiku_45 %} and {% data variables.copilot.copilot_claude_opus_41 %} are hosted by Anthropic PBC. {% data variables.copilot.copilot_claude_sonnet_40 %} is hosted by Anthropic PBC and Google Cloud Platform. {% data variables.copilot.copilot_claude_sonnet_45 %} is hosted by Amazon Web Services, Anthropic PBC, and Google Cloud Platform. {% data variables.product.github %} has provider agreements in place to ensure data is not used for training. Additional details for each provider are included below:
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These models are hosted by Amazon Web Services, Anthropic PBC, and Google Cloud Platform. {% data variables.product.github %} has provider agreements in place to ensure data is not used for training. Additional details for each provider are included below:
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* Amazon Bedrock: Amazon makes the [following data commitments](https://docs.aws.amazon.com/bedrock/latest/userguide/data-protection.html): _Amazon Bedrock doesn't store or log your prompts and completions. Amazon Bedrock doesn't use your prompts and completions to train any AWS models and doesn't distribute them to third parties_.
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* Anthropic PBC: {% data variables.product.github %} maintains a [zero data retention agreement](https://privacy.anthropic.com/en/articles/8956058-i-have-a-zero-retention-agreement-with-anthropic-what-products-does-it-apply-to) with Anthropic.
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{% data reusables.copilot.grok-promo-period %}
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{% data variables.copilot.copilot_grok_code %} is hosted by xAI when used in {% data variables.product.prodname_copilot %}.
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Complimentary access to Grok Code Fast 1 is continuing past the previously announced end time. A new end date has not been set. We may update or conclude this promotion at any time. [Regular pricing](https://docs.github.com/en/copilot/reference/ai-models/supported-models#model-multipliers) applies after the extension ends.
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xAI operates {% data variables.copilot.copilot_grok_code %} in {% data variables.product.prodname_copilot %} under a zero data retention API policy. This means xAI commits that user content (both inputs sent to the model and outputs generated by the model):
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These models are hosted on xAI. xAI operates {% data variables.copilot.copilot_grok_code %} in {% data variables.product.prodname_copilot %} under a zero data retention API policy. This means xAI commits that user content (both inputs sent to the model and outputs generated by the model):
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Will **not** be:
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* Logged for any purpose, including human review

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