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Python: Fix samples (#4980)
* First samples 1st batch * Fix sample paths * Fix workflow samples * Fix workflow dependency * Correct env vars * Increase idle timeout * Fix workflows HIL sample * Fix more workflow samples
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@@ -40,7 +40,7 @@ Show how to:
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Prerequisites:
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- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
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- Azure OpenAI configured for FoundryChatClient with required environment variables.
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- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
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- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
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- Familiarity with WorkflowBuilder, executors, conditional edges, and streaming runs.
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"""
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@@ -165,7 +165,7 @@ def create_spam_detection_agent() -> Agent:
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return Agent(
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client=FoundryChatClient(
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project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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model=os.environ["FOUNDRY_MODEL"],
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credential=AzureCliCredential(),
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),
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instructions=(
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@@ -183,7 +183,7 @@ def create_email_assistant_agent() -> Agent:
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return Agent(
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client=FoundryChatClient(
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project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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model=os.environ["FOUNDRY_MODEL"],
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credential=AzureCliCredential(),
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),
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instructions=(
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@@ -29,7 +29,7 @@ Key Concepts:
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Prerequisites:
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- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
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- Environment variables configured
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- FOUNDRY_MODEL must be set to your Azure OpenAI model deployment name.
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"""
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@@ -83,7 +83,7 @@ async def main() -> None:
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# Create chat client
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client = FoundryChatClient(
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project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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model=os.environ["FOUNDRY_MODEL"],
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credential=AzureCliCredential(),
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)
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