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Jill Grant
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Merge pull request #24 from dargilco/dargilco/post-beta-4-python-sdk-release
Fix setting response format for Python Inference SDK
2 parents 12bda57 + e851d56 commit 554f928

16 files changed

+41
-35
lines changed

‎articles/ai-studio/how-to/deploy-models-cohere-command.md‎

Lines changed: 5 additions & 3 deletions
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@@ -231,7 +231,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -244,7 +244,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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@@ -256,13 +256,15 @@ Cohere Command chat models can create JSON outputs. Set `response_format` to `js
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormatJSON
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response = client.complete(
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messages=[
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SystemMessage(content="You are a helpful assistant that always generate responses in JSON format, using."
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" the following format: { ""answer"": ""response"" }."),
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UserMessage(content="How many languages are in the world?"),
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],
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response_format={ "type": ChatCompletionsResponseFormat.JSON_OBJECT }
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response_format=ChatCompletionsResponseFormatJSON()
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)
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```
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‎articles/ai-studio/how-to/deploy-models-jais.md‎

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@@ -201,7 +201,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -214,7 +214,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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‎articles/ai-studio/how-to/deploy-models-llama.md‎

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Original file line numberDiff line numberDiff line change
@@ -255,7 +255,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -268,7 +268,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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‎articles/ai-studio/how-to/deploy-models-mistral-nemo.md‎

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Original file line numberDiff line numberDiff line change
@@ -209,7 +209,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -222,7 +222,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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@@ -234,13 +234,15 @@ Mistral Nemo chat model can create JSON outputs. Set `response_format` to `json_
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormatJSON
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response = client.complete(
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messages=[
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SystemMessage(content="You are a helpful assistant that always generate responses in JSON format, using."
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" the following format: { ""answer"": ""response"" }."),
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UserMessage(content="How many languages are in the world?"),
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],
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response_format={ "type": ChatCompletionsResponseFormat.JSON_OBJECT }
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response_format=ChatCompletionsResponseFormatJSON()
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)
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```
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‎articles/ai-studio/how-to/deploy-models-mistral-open.md‎

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@@ -257,7 +257,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -270,7 +270,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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‎articles/ai-studio/how-to/deploy-models-mistral.md‎

Lines changed: 5 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -239,7 +239,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -252,7 +252,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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@@ -264,13 +264,15 @@ Mistral premium chat models can create JSON outputs. Set `response_format` to `j
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormatJSON
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response = client.complete(
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messages=[
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SystemMessage(content="You are a helpful assistant that always generate responses in JSON format, using."
270272
" the following format: { ""answer"": ""response"" }."),
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UserMessage(content="How many languages are in the world?"),
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],
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response_format={ "type": ChatCompletionsResponseFormat.JSON_OBJECT }
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response_format=ChatCompletionsResponseFormatJSON()
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)
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```
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‎articles/ai-studio/how-to/deploy-models-phi-3-5-moe.md‎

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@@ -219,7 +219,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -232,7 +232,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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‎articles/ai-studio/how-to/deploy-models-phi-3-5-vision.md‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -215,7 +215,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -228,7 +228,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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‎articles/ai-studio/how-to/deploy-models-phi-3-vision.md‎

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Original file line numberDiff line numberDiff line change
@@ -215,7 +215,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
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from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
@@ -228,7 +228,7 @@ response = client.complete(
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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‎articles/ai-studio/how-to/deploy-models-phi-3.md‎

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@@ -256,7 +256,7 @@ print_stream(result)
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Explore other parameters that you can specify in the inference client. For a full list of all the supported parameters and their corresponding documentation, see [Azure AI Model Inference API reference](https://aka.ms/azureai/modelinference).
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```python
259-
from azure.ai.inference.models import ChatCompletionsResponseFormat
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from azure.ai.inference.models import ChatCompletionsResponseFormatText
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response = client.complete(
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messages=[
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stop=["<|endoftext|>"],
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temperature=0,
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top_p=1,
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response_format={ "type": ChatCompletionsResponseFormat.TEXT },
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response_format=ChatCompletionsResponseFormatText(),
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)
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```
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