Fix workflow samples

python/samples/03-workflows/declarative/agent_to_function_tool/main.py

@@ -204,7 +204,7 @@ async def main():
     # Create Azure OpenAI Responses client
     chat_client = FoundryChatClient(
         project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL"],
         credential=AzureCliCredential(),
     )
 

python/samples/03-workflows/declarative/customer_support/main.py

@@ -173,7 +173,7 @@ async def main() -> None:
         project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
         # This sample has been tested only on `gpt-5.1` and may not work as intended on other models
         # This sample is known to fail on `gpt-5-mini` reasoning input (GH issue #4059)
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL"],
         credential=AzureCliCredential(),
     )
 

python/samples/03-workflows/declarative/deep_research/main.py

@@ -126,7 +126,7 @@ async def main() -> None:
     # Create Azure OpenAI client
     client = FoundryChatClient(
         project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL"],
         credential=AzureCliCredential(),
     )
 

python/samples/03-workflows/declarative/function_tools/main.py

@@ -71,7 +71,7 @@ async def main():
     # Create agent with tools
     client = FoundryChatClient(
         project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL"],
         credential=AzureCliCredential(),
     )
     menu_agent = Agent(

python/samples/03-workflows/declarative/marketing/main.py

@@ -56,7 +56,7 @@ async def main() -> None:
     """Run the marketing workflow with real Azure AI agents."""
     client = FoundryChatClient(
         project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL"],
         credential=AzureCliCredential(),
     )
 

python/samples/03-workflows/declarative/student_teacher/main.py

@@ -16,7 +16,7 @@ Prerequisites:
     - Azure OpenAI deployment with chat completion capability
     - Environment variables:
         FOUNDRY_PROJECT_ENDPOINT: Your Azure AI Foundry Agent Service (V2) project endpoint
-        AZURE_AI_MODEL_DEPLOYMENT_NAME: Your model deployment name
+        FOUNDRY_MODEL: Your model deployment name
 """
 
 import asyncio
@@ -58,7 +58,7 @@ async def main() -> None:
     # Create chat client
     client = FoundryChatClient(
         project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL"],
         credential=AzureCliCredential(),
     )