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Copy file name to clipboardExpand all lines: articles/api-management/openai-compatible-llm-api.md
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@@ -29,7 +29,7 @@ API Management supports two types of language model APIs for this scenario. Choo
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For an OpenAI-compatible LLM, API Management configures a chat completions endpoint.
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***Passthrough** - Other language model endpoints that aren't compatible with OpenAI's API. Examples include models deployed in [Amazon Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html) or other providers.
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***Passthrough** - Other language model endpoints that aren't compatible with OpenAI's API. Examples include models deployed in [Amazon Bedrock](amazon-bedrock-passthrough-llm-api.md) or other providers.
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API Management configures wildcard operations for common HTTP verbs. Clients can append paths to the wildcard operations, and API Management passes requests to the backend.
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Run a test job for a runbook with a different Runtime environment. This scenario is useful when a runbook needs to be tested with a Runtime environment before update.
Copy file name to clipboardExpand all lines: articles/automation/runtime-environment-overview.md
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@@ -84,6 +84,7 @@ You can't edit these Runtime environments. However, any changes that are made in
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- Runtime environment can't be configured through Azure Automation extension for Visual Studio Code.
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- Deleted Runtime environments cannot be recovered.
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- This feature is currently supported through Azure portal and [REST API](/rest/api/automation/runtime-environments?view=rest-automation-2024-10-23&preserve-view=true).
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- Use [Packages: REST API](/rest/api/automation/package?view=rest-automation-2024-10-23) to upload custom packages.
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- Management of modules for Azure Automation State Configuration is not supported through Runtime environment experience. You can continue using the old experience for managing modules and packages for Azure Automation State Configuration.
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