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[azure-ai-projects] Fix README context-manager snippets, a typo, and non-canonical env var names in samples #48124

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[azure-ai-projects] Fix README context-manager snippets, a typo, and non-canonical env var names in samples #48124

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[azure-ai-projects] Fix README context-manager snippets and a comment…
kkchandi Jul 18, 2026
ad8703c
[azure-ai-projects] Use canonical FOUNDRY_ env var names
kkchandi Jul 18, 2026
5613df1
[azure-ai-projects] Use canonical FOUNDRY_ env var names
kkchandi Jul 18, 2026
33b5332
[azure-ai-projects] Use canonical FOUNDRY_ env var names
kkchandi Jul 18, 2026
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6 changes: 5 additions & 1 deletion sdk/ai/azure-ai-projects/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -104,6 +104,8 @@ with (
credential=credential
) as project_client,
):
# Use project_client here; the context manager closes it on exit.
...
```

To construct an asynchronous client, install the additional package [aiohttp](https://pypi.org/project/aiohttp/):
Expand All @@ -127,6 +129,8 @@ async with (
credential=credential
) as project_client,
):
# Use project_client here; the context manager closes it on exit.
...
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```
### Performing Responses operations using OpenAI client

Expand Down Expand Up @@ -242,7 +246,7 @@ import sys
import logging

# Acquire the logger for this client library. Use 'azure' to affect both
# `azure.core` and `azure.ai.projects' libraries.
# `azure.core` and `azure.ai.projects` libraries.
logger = logging.getLogger("azure")

# Set the desired logging level. logging.INFO or logging.DEBUG are good options.
Expand Down
12 changes: 6 additions & 6 deletions ...azure-ai-projects/samples/evaluations/sample_evaluations_score_model_grader_with_audio.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,10 +20,10 @@
pip install "azure-ai-projects>=2.0.0" azure-identity python-dotenv

Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
1) FOUNDRY_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
Microsoft Foundry project. It has the form: https://<account_name>.services.ai.azure.com/api/projects/<project_name>.
2) AZURE_AI_MODEL_DEPLOYMENT_NAME - Required. The name of the model deployment to use for evaluation.
3) AZURE_AI_MODEL_DEPLOYMENT_NAME_FOR_AUDIO - Required. The name of the model deployment for audio to use for evaluation, recommend to use "gpt-4o-audio-preview"
2) FOUNDRY_MODEL_NAME - Required. The name of the model deployment to use for evaluation.
3) FOUNDRY_MODEL_NAME_FOR_AUDIO - Required. The name of the model deployment for audio to use for evaluation, recommend to use "gpt-4o-audio-preview"
"""

import base64
Expand All @@ -48,9 +48,9 @@
file_path = os.path.abspath(__file__)
folder_path = os.path.dirname(file_path)

endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
model_deployment_name_for_audio = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME_FOR_AUDIO"]
endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["FOUNDRY_MODEL_NAME"]
model_deployment_name_for_audio = os.environ["FOUNDRY_MODEL_NAME_FOR_AUDIO"]


def audio_to_base64(audio_path: str) -> str:
Expand Down
12 changes: 6 additions & 6 deletions ...ects/samples/evaluations/sample_evaluations_score_model_grader_with_audio_model_target.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,10 +20,10 @@
pip install "azure-ai-projects>=2.0.0" azure-identity python-dotenv

Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
1) FOUNDRY_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
Microsoft Foundry project. It has the form: https://<account_name>.services.ai.azure.com/api/projects/<project_name>.
2) AZURE_AI_MODEL_DEPLOYMENT_NAME - Required. The name of the model deployment to use for evaluation.
3) AZURE_AI_MODEL_DEPLOYMENT_NAME_FOR_AUDIO - Required. The name of the model deployment for audio to use for evaluation, recommend to use "gpt-4o-audio-preview"
2) FOUNDRY_MODEL_NAME - Required. The name of the model deployment to use for evaluation.
3) FOUNDRY_MODEL_NAME_FOR_AUDIO - Required. The name of the model deployment for audio to use for evaluation, recommend to use "gpt-4o-audio-preview"
"""

import base64
Expand All @@ -47,9 +47,9 @@
file_path = os.path.abspath(__file__)
folder_path = os.path.dirname(file_path)

endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
model_deployment_name_for_audio = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME_FOR_AUDIO"]
endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["FOUNDRY_MODEL_NAME"]
model_deployment_name_for_audio = os.environ["FOUNDRY_MODEL_NAME_FOR_AUDIO"]


def audio_to_base64(audio_path: str) -> str:
Expand Down
8 changes: 4 additions & 4 deletions ...ects/samples/evaluations/sample_evaluations_score_model_grader_with_image_model_target.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,9 +18,9 @@
pip install "azure-ai-projects>=2.0.0" azure-identity python-dotenv Pillow

Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
1) FOUNDRY_PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
Microsoft Foundry project. It has the form: https://<account_name>.services.ai.azure.com/api/projects/<project_name>.
2) AZURE_AI_MODEL_DEPLOYMENT_NAME - Required. The name of the model deployment to use for evaluation.
2) FOUNDRY_MODEL_NAME - Required. The name of the model deployment to use for evaluation.
"""

import base64
Expand All @@ -47,8 +47,8 @@
file_path = os.path.abspath(__file__)
folder_path = os.path.dirname(file_path)

endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["FOUNDRY_MODEL_NAME"]


def image_to_data_uri(image_file_path: str) -> str:
Expand Down
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