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‎articles/ai-foundry/openai/includes/language-overview/python.md‎

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@@ -72,6 +72,7 @@ client = OpenAI(
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If you use the default environment variables of `OPENAI_BASE_URL` and `OPENAI_API_KEY` they are automatically used by the client with no further configuration required.
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| Environment Variable | Value |
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|----------------|-------------|
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| `OPENAI_BASE_URL` | `https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/`|
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| `OPENAI_API_KEY` | Azure OpenAI or AI Foundry API key. |
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@@ -140,7 +141,6 @@ For more examples, see the [Responses API](../../how-to/responses.md) documentat
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# [Environment Variables](#tab/python-env)
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```python
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import os
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from openai import OpenAI
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client = OpenAI()
@@ -228,15 +228,26 @@ For more examples, see the [Responses API](../../how-to/responses.md) documentat
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}
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```
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---
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## Chat
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### chat.completions.create()
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# [Python](#tab/command)
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# [Microsoft Entra ID](#tab/python-entra)
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```python
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# from openai import OpenAI
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# client = OpenAI()
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from openai import OpenAI
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from azure.identity import DefaultAzureCredential, get_bearer_token_provider
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token_provider = get_bearer_token_provider(
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DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
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)
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client = OpenAI(
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base_url = "https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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api_key=token_provider,
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)
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completion = client.chat.completions.create(
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model="gpt-4o", # Replace with your model deployment name.
@@ -247,10 +258,52 @@ completion = client.chat.completions.create(
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)
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#print(completion.choices[0].message)
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print(completion.model_dump_json(indent=2)
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print(completion.model_dump_json(indent=2))
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```
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# [Response](#tab/response)
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# [API Key](#tab/python-key)
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```python
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import os
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from openai import OpenAI
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client = OpenAI(
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api_key=os.getenv("AZURE_OPENAI_API_KEY"),
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base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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)
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completion = client.chat.completions.create(
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model="gpt-4o", # Replace with your model deployment name.
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "When was Microsoft founded?"}
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]
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)
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#print(completion.choices[0].message)
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print(completion.model_dump_json(indent=2))
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```
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# [Environment Variables](#tab/python-env)
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```python
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from openai import OpenAI
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client = OpenAI()
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completion = client.chat.completions.create(
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model="gpt-4o", # Replace with your model deployment name.
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "When was Microsoft founded?"}
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]
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)
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#print(completion.choices[0].message)
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print(completion.model_dump_json(indent=2))
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```
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# [Response](#tab/python-output)
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```json
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{
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### chat.completions.create() - streaming
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# [Python](#tab/command)
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# [Microsoft Entra ID](#tab/python-entra)
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```python
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# from openai import OpenAI
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# client = OpenAI()
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from openai import OpenAI
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from azure.identity import DefaultAzureCredential, get_bearer_token_provider
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token_provider = get_bearer_token_provider(
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DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
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)
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client = OpenAI(
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base_url = "https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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api_key=token_provider,
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)
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completion = client.chat.completions.create(
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model="gpt-4o", # Replace with your model deployment name.
@@ -353,7 +415,53 @@ for chunk in completion:
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print(chunk.choices[0].delta.content, end='',)
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```
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# [Response](#tab/response)
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# [API Key](#tab/python-key)
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```python
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import os
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from openai import OpenAI
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client = OpenAI(
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api_key=os.getenv("AZURE_OPENAI_API_KEY"),
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base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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)
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completion = client.chat.completions.create(
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model="gpt-4o", # Replace with your model deployment name.
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "When was Microsoft founded?"}
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],
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stream=True
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)
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for chunk in completion:
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if chunk.choices and chunk.choices[0].delta.content is not None:
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print(chunk.choices[0].delta.content, end='',)
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```
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# [Environment Variables](#tab/python-env)
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```python
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from openai import OpenAI
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client = OpenAI()
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completion = client.chat.completions.create(
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model="gpt-4o", # Replace with your model deployment name.
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messages=[
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "When was Microsoft founded?"}
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],
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stream=True
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)
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for chunk in completion:
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if chunk.choices and chunk.choices[0].delta.content is not None:
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print(chunk.choices[0].delta.content, end='',)
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```
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# [Response](#tab/python-output)
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```text
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Microsoft was founded on April 4, 1975, by Bill Gates and Paul Allen.
@@ -363,10 +471,56 @@ Microsoft was founded on April 4, 1975, by Bill Gates and Paul Allen.
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### chat.completions.create() - image input
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# [Python](#tab/command)
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# [Microsoft Entra ID](#tab/python-entra)
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```python
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from openai import OpenAI
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from azure.identity import DefaultAzureCredential, get_bearer_token_provider
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token_provider = get_bearer_token_provider(
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DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default"
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)
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client = OpenAI(
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base_url = "https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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api_key=token_provider,
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)
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completion = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "What's in this image?"},
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/MicrosoftDocs/azure-ai-docs/main/articles/ai-foundry/openai/media/how-to/generated-seattle.png",
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}
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},
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],
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}
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],
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max_tokens=300,
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)
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print(completion.model_dump_json(indent=2))
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```
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# [API Key](#tab/python-key)
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```python
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import os
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from openai import OpenAI
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client = OpenAI(
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api_key=os.getenv("AZURE_OPENAI_API_KEY"),
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base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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)
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completion = client.chat.completions.create(
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model="gpt-4o",
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messages=[
@@ -389,7 +543,36 @@ completion = client.chat.completions.create(
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print(completion.model_dump_json(indent=2))
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```
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# [Response](#tab/response)
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# [Environment Variables](#tab/python-env)
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```python
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from openai import OpenAI
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client = OpenAI()
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completion = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{
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"role": "user",
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"content": [
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{"type": "text", "text": "What's in this image?"},
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{
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"type": "image_url",
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"image_url": {
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"url": "https://raw.githubusercontent.com/MicrosoftDocs/azure-ai-docs/main/articles/ai-foundry/openai/media/how-to/generated-seattle.png",
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}
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},
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],
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}
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],
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max_tokens=300,
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)
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print(completion.model_dump_json(indent=2))
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```
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# [Response](#tab/python-output)
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```json
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{
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### embeddings.create()
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# [Python](#tab/command)
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# [Microsoft Entra ID](#tab/python-entra)
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Embeddings currently do not support Microsoft Entra ID with Azure OpenAI and the v1 API.
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# [API Key](#tab/python-key)
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```python
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# from openai import OpenAI
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# client = OpenAI()
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client = OpenAI(
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api_key=os.getenv("AZURE_OPENAI_API_KEY"),
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base_url="https://YOUR-RESOURCE-NAME.openai.azure.com/openai/v1/",
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)
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embedding = client.embeddings.create(
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model="text-embedding-3-large", # Replace with your model deployment name
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input="Attenion is all you need",
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encoding_format="float"
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)
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print(embedding)
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```
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# [Environment Variables](#tab/python-env)
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```python
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client = OpenAI()
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embedding = client.embeddings.create(
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model="text-embedding-3-large", # Replace with your model deployment name

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