Update model hosting details and add Microsoft Foundry

Added Microsoft Foundry as a model hosting provider and updated prompt caching references.

Reference: https://azure.microsoft.com/en-us/blog/introducing-anthropics-claude-models-in-microsoft-foundry-bringing-frontier-intelligence-to-azure/

https://ai.azure.com/catalog/publishers/anthropic

Author: brandonpham13

content/copilot/reference/ai-models/model-hosting.md

@@ -61,13 +61,14 @@ Used for:
 * {% data variables.copilot.copilot_claude_sonnet_40 %}
 * {% data variables.copilot.copilot_claude_sonnet_46 %}
 
-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:
+These models are hosted by Amazon Web Services, Anthropic PBC, Google Cloud Platform, and Microsoft Foundry. {% 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:
 
 * 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_.
 * 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.
 * Google Cloud: [Google commits to not training on {% data variables.product.github %} data as part of their service terms](https://cloud.google.com/vertex-ai/generative-ai/docs/data-governance). {% data variables.product.github %} is additionally not subject to prompt logging for abuse monitoring.
+* Microsoft Foundry: [Data, privacy, and security for Azure Direct Models in Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/openai/data-privacy?view=foundry&tabs=azure-portal).
 
-To provide better service quality and reduce latency, {% data variables.product.github %} uses [prompt caching](https://platform.claude.com/docs/en/build-with-claude/prompt-caching). You can read more about prompt caching on [Anthropic PBC](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching), [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html), and [Google Cloud](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude-prompt-caching).
+To provide better service quality and reduce latency, {% data variables.product.github %} uses [prompt caching](https://platform.claude.com/docs/en/build-with-claude/prompt-caching). You can read more about prompt caching on [Anthropic PBC](https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching), [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html), [Google Cloud](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude-prompt-caching), and [Microsoft Foundry](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/prompt-caching?view=foundry).
 
 When using {% data variables.copilot.copilot_claude %}, input prompts and output completions 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.