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@@ -29,8 +29,10 @@ To use function calling with the Chat Completions API, you need to include two n
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When functions are provided, by default the `function_call` will be set to `"auto"` and the model will decide whether or not a function should be called. Alternatively, you can set the `function_call` parameter to `{"name": "<insert-function-name>"}` to force the API to call a specific function or you can set the parameter to `"none"` to prevent the model from calling any functions.
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# [OpenAI Python 0.28.1](#tab/python)
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```python
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# Note: The openai-python library support for Azure OpenAI is in preview.
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In some cases, the model may generate both `content` and a `function_call`. For example, for the prompt above the content could say something like "Sure, I can help you find some hotels in San Diego that match your criteria" along with the function_call.
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# [OpenAI Python 1.x](#tab/python-new)
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```python
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import os
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from openai import AzureOpenAI
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client = AzureOpenAI(
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api_key=os.getenv("AZURE_OPENAI_KEY"),
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api_version="2023-10-01-preview",
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azure_endpoint= os.getenv("AZURE_OPENAI_ENDPOINT"
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)
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messages= [
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{"role": "user", "content": "Find beachfront hotels in San Diego for less than $300 a month with free breakfast."}
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]
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functions= [
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{
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"name": "search_hotels",
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"description": "Retrieves hotels from the search index based on the parameters provided",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The location of the hotel (i.e. Seattle, WA)"
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},
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"max_price": {
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"type": "number",
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"description": "The maximum price for the hotel"
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},
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"features": {
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"type": "string",
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"description": "A comma separated list of features (i.e. beachfront, free wifi, etc.)"
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}
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},
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"required": ["location"]
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}
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}
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]
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response= client.chat.completions.create(
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model="gpt-35-turbo-0613", # model = "deployment_name"
The response from the API includes a `function_call`propertyif the model determines that a function should be called. The `function_call`property includes the name of the function to call and the arguments to pass to the function. The arguments are a JSON string that you can parse and use to call your function.
In some cases, the model may generate both `content`and a `function_call`. For example, for the prompt above the content could say something like "Sure, I can help you find some hotels in San Diego that match your criteria" along with the function_call.
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---
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## Working with function calling
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The following section goes into additional detail on how to effectively use functions with the Chat Completions API.
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Copy file name to clipboardExpand all lines: articles/azure-vmware/configure-vmware-hcx.md
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@@ -169,7 +169,7 @@ For an end-to-end overview of this procedure, view the [Azure VMware Solution: C
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The selections define the resources where VMs can consume VMware HCX services.
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> [!NOTE]
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> If you have a mixed mode SDDC with a fleet cluster, deployment of service mesh appliances for fleet cluster is not viable/supported.
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> If you have a mixed mode SDDC with a AV64 cluster, deployment of service mesh appliances on AV64 cluster is not viable/supported. However, this would't prevent you from having HCX migration or network extention directly on to AV64 clusters with service appliances hosted on cluster-1.
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:::image type="content" source="media/tutorial-vmware-hcx/select-compute-profile-source.png" alt-text="Screenshot that shows selecting the source compute profile." lightbox="media/tutorial-vmware-hcx/select-compute-profile-source.png":::
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