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2 changes: 1 addition & 1 deletion samples-v2/microsoft/python/quickstart/.env-template
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,6 @@
# Update with appropriate values
# Rename the file to .env after updating

AZURE_AI_PROJECT_ENDPOINT="https://<YOUR-RESOURCE-NAME>.services.ai.azure.com/api/projects/<YOUR-PROJECT-NAME>"
AZURE_AI_FOUNDRY_PROJECT_ENDPOINT="https://<YOUR-RESOURCE-NAME>.services.ai.azure.com/api/projects/<YOUR-PROJECT-NAME>"
AZURE_AI_FOUNDRY_AGENT_NAME="MyAgent"
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I see Agent Name defined as env variable, but not used in samples. Should we hard-code the Agent name or read it from env variable?

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updated to read from env var

AZURE_AI_FOUNDRY_MODEL_DEPLOYMENT_NAME="gpt-4.1-mini"
Original file line number Diff line number Diff line change
Expand Up @@ -6,10 +6,11 @@
load_dotenv()

project_client = AIProjectClient(
endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
endpoint=os.environ["AZURE_AI_FOUNDRY_PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)

agent_name = os.environ["AZURE_AI_FOUNDRY_AGENT_NAME"]
openai_client = project_client.get_openai_client()

# Optional Step: Create a conversation to use with the agent
Expand All @@ -19,15 +20,15 @@
#Chat with the agent to answer questions
response = openai_client.responses.create(
conversation=conversation.id, #Optional conversation context for multi-turn
extra_body={"agent": {"name": "MyAgent", "type": "agent_reference"}},
extra_body={"agent": {"name": agent_name, "type": "agent_reference"}},
input="What is the size of France in square miles?",
)
print(f"Response output: {response.output_text}")

#Optional Step: Ask a follow-up question in the same conversation
response = openai_client.responses.create(
conversation=conversation.id,
extra_body={"agent": {"name": "MyAgent", "type": "agent_reference"}},
extra_body={"agent": {"name": agent_name, "type": "agent_reference"}},
input="And what is the capital city?",
)
print(f"Response output: {response.output_text}")
Original file line number Diff line number Diff line change
Expand Up @@ -7,15 +7,17 @@
load_dotenv()

project_client = AIProjectClient(
endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
endpoint=os.environ["AZURE_AI_FOUNDRY_PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)

# <create_agent>
agent = project_client.agents.create_version(
agent_name="MyAgent",
agent_name=os.environ["AZURE_AI_FOUNDRY_AGENT_NAME"],
definition=PromptAgentDefinition(
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["AZURE_AI_FOUNDRY_MODEL_DEPLOYMENT_NAME"],
instructions="You are a helpful assistant that answers general questions",
),
)
print(f"Agent created (id: {agent.id}, name: {agent.name}, version: {agent.version})")
# </create_agent>
11 changes: 8 additions & 3 deletions samples-v2/microsoft/python/quickstart/quickstart-responses.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,15 +5,20 @@

load_dotenv()

print(f"Using AZURE_AI_FOUNDRY_PROJECT_ENDPOINT: {os.environ['AZURE_AI_FOUNDRY_PROJECT_ENDPOINT']}")
print(f"Using AZURE_AI_FOUNDRY_MODEL_DEPLOYMENT_NAME: {os.environ['AZURE_AI_FOUNDRY_MODEL_DEPLOYMENT_NAME']}")

project_client = AIProjectClient(
endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
endpoint=os.environ["AZURE_AI_FOUNDRY_PROJECT_ENDPOINT"],
credential=DefaultAzureCredential(),
)

# <generate_response>
openai_client = project_client.get_openai_client()

response = openai_client.responses.create(
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["AZURE_AI_FOUNDRY_MODEL_DEPLOYMENT_NAME"],
input="What is the size of France in square miles?",
)
print(f"Response output: {response.output_text}")
print(f"Response output: {response.output_text}")
# </generate_response>
1 change: 1 addition & 0 deletions samples-v2/microsoft/python/quickstart/requirements.txt
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
azure-ai-projects>=2.0.0a20250915020
azure-identity
python-dotenv
openai