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articles/ai-foundry/includes/create-content-filter.md

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Now you can configure the input filters (for user prompts) and output filters (for model completion).
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1. On the **Input filters** page, you can set the filter for the input prompt. For the first four content categories there are three severity levels that are configurable: Low, medium, and high. You can use the sliders to set the severity threshold if you determine that your application or usage scenario requires different filtering than the default values.
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Some filters, such as Prompt Shields and Protected material detection, enable you to determine if the model should annotate and/or block content. Selecting **Annotate only** runs the respective model and return annotations via API response, but it will not filter content. In addition to annotate, you can also choose to block content.
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Some filters, such as Prompt Shields and Protected material detection, enable you to determine if the model should annotate and/or block content. Selecting **Annotate only** runs the respective model and returns annotations via API response, but it will not filter content. In addition to annotate, you can also choose to block content.
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If your use case was approved for modified content filters, you receive full control over content filtering configurations and can choose to turn filtering partially or fully off, or enable annotate only for the content harms categories (violence, hate, sexual and self-harm).
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Now, you can go to the playground to test whether the content filter works as expected.
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> [!TIP]
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> You can also create and update content filters using the REST APIs. For more information, see the [API reference](/rest/api/aiservices/accountmanagement/rai-policies/create-or-update). Content filters can be configured at the resource level. Once a new configuration is created, it can be associated with one or more deployments. For more information about model deployment, see the resource [deployment guide](../../ai-services/openai/how-to/create-resource.md).
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> You can also create and update content filters using the REST APIs. For more information, see the [API reference](/rest/api/aiservices/accountmanagement/rai-policies/create-or-update). Content filters can be configured at the resource level. Once a new configuration is created, it can be associated with one or more deployments. For more information about model deployment, see the resource [deployment guide](../../ai-services/openai/how-to/create-resource.md).

articles/ai-foundry/model-inference/includes/use-chat-completions/csharp.md

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articles/ai-foundry/model-inference/includes/use-chat-completions/java.md

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articles/ai-foundry/model-inference/includes/use-chat-multi-modal/csharp.md

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articles/ai-foundry/model-inference/includes/use-chat-multi-modal/java.md

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articles/ai-foundry/model-inference/includes/use-chat-multi-modal/javascript.md

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articles/ai-foundry/model-inference/includes/use-chat-multi-modal/python.md

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