agent/agent-framework
2
0
Fork 0
mirror of https://github.com/microsoft/agent-framework.git synced 2026-06-16 21:04:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

Python: [BREAKING] Renamed create_agent to as_agent (#3249)

Browse Source 
* Renamed create_agent to as_agent

* Override for as_agent

* Added override
This commit is contained in:
Dmytro Struk
2026-01-16 11:21:52 -08:00
committed by GitHub
Unverified
parent a151f10cc2
commit 5687e13221
163 changed files with 498 additions and 358 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/samples/demos/hosted_agents/agent_with_hosted_mcp/main.py
+1 -1
View File
@@ -8,7 +8,7 @@ from azure.identity import DefaultAzureCredential
def main():
# Create an Agent using the Azure OpenAI Chat Client with a MCP Tool that connects to Microsoft Learn MCP
agent = AzureOpenAIChatClient(credential=DefaultAzureCredential()).create_agent(
agent = AzureOpenAIChatClient(credential=DefaultAzureCredential()).as_agent(
name="DocsAgent",
instructions="You are a helpful assistant that can help with microsoft documentation questions.",
tools=HostedMCPTool(
python/samples/demos/hosted_agents/agent_with_text_search_rag/main.py
+1 -1
View File
@@ -93,7 +93,7 @@ class TextSearchContextProvider(ContextProvider):
def main():
# Create an Agent using the Azure OpenAI Chat Client
agent = AzureOpenAIChatClient(credential=DefaultAzureCredential()).create_agent(
agent = AzureOpenAIChatClient(credential=DefaultAzureCredential()).as_agent(
name="SupportSpecialist",
instructions=(
"You are a helpful support specialist for Contoso Outdoors. "
python/samples/demos/hosted_agents/agents_in_workflow/main.py
+3 -3
View File
@@ -8,21 +8,21 @@ from azure.identity import DefaultAzureCredential # pyright: ignore[reportUnkno
def main():
# Create agents
researcher = AzureOpenAIChatClient(credential=DefaultAzureCredential()).create_agent(
researcher = AzureOpenAIChatClient(credential=DefaultAzureCredential()).as_agent(
instructions=(
"You're an expert market and product researcher. "
"Given a prompt, provide concise, factual insights, opportunities, and risks."
),
name="researcher",
)
marketer = AzureOpenAIChatClient(credential=DefaultAzureCredential()).create_agent(
marketer = AzureOpenAIChatClient(credential=DefaultAzureCredential()).as_agent(
instructions=(
"You're a creative marketing strategist. "
"Craft compelling value propositions and target messaging aligned to the prompt."
),
name="marketer",
)
legal = AzureOpenAIChatClient(credential=DefaultAzureCredential()).create_agent(
legal = AzureOpenAIChatClient(credential=DefaultAzureCredential()).as_agent(
instructions=(
"You're a cautious legal/compliance reviewer. "
"Highlight constraints, disclaimers, and policy concerns based on the prompt."
python/samples/demos/m365-agent/m365_agent_demo/app.py
+1 -1
View File
@@ -93,7 +93,7 @@ def get_weather(
def build_agent() -> ChatAgent:
"""Create and return the chat agent instance with weather tool registered."""
return OpenAIChatClient().create_agent(
return OpenAIChatClient().as_agent(
name="WeatherAgent", instructions="You are a helpful weather agent.", tools=get_weather
)
python/samples/demos/workflow_evaluation/create_workflow.py
+8 -8
View File
@@ -78,7 +78,7 @@ class ResearchLead(Executor):
def __init__(self, chat_client: AzureAIClient, id: str = "travel-planning-coordinator"):
# store=True to preserve conversation history for evaluation
self.agent = chat_client.create_agent(
self.agent = chat_client.as_agent(
id="travel-planning-coordinator",
instructions=(
"You are the final coordinator. You will receive responses from multiple agents: "
@@ -220,7 +220,7 @@ async def _create_workflow(project_client, credential):
travel_request_handler_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="travel-request-handler"
)
travel_request_handler = travel_request_handler_client.create_agent(
travel_request_handler = travel_request_handler_client.as_agent(
id="travel-request-handler",
instructions=(
"You receive user travel queries and relay them to specialized agents. Extract key information: destination, dates, budget, and preferences. Pass this information forward clearly to the next agents."
@@ -233,7 +233,7 @@ async def _create_workflow(project_client, credential):
hotel_search_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="hotel-search-agent"
)
hotel_search_agent = hotel_search_client.create_agent(
hotel_search_agent = hotel_search_client.as_agent(
id="hotel-search-agent",
instructions=(
"You are a hotel search specialist. Your task is ONLY to search for and provide hotel information. Use search_hotels to find options, get_hotel_details for specifics, and check_availability to verify rooms. Output format: List hotel names, prices per night, total cost for the stay, locations, ratings, amenities, and addresses. IMPORTANT: Only provide hotel information without additional commentary."
@@ -247,7 +247,7 @@ async def _create_workflow(project_client, credential):
flight_search_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="flight-search-agent"
)
flight_search_agent = flight_search_client.create_agent(
flight_search_agent = flight_search_client.as_agent(
id="flight-search-agent",
instructions=(
"You are a flight search specialist. Your task is ONLY to search for and provide flight information. Use search_flights to find options, get_flight_details for specifics, and check_availability for seats. Output format: List flight numbers, airlines, departure/arrival times, prices, durations, and cabin class. IMPORTANT: Only provide flight information without additional commentary."
@@ -261,7 +261,7 @@ async def _create_workflow(project_client, credential):
activity_search_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="activity-search-agent"
)
activity_search_agent = activity_search_client.create_agent(
activity_search_agent = activity_search_client.as_agent(
id="activity-search-agent",
instructions=(
"You are an activities specialist. Your task is ONLY to search for and provide activity information. Use search_activities to find options for activities. Output format: List activity names, descriptions, prices, durations, ratings, and categories. IMPORTANT: Only provide activity information without additional commentary."
@@ -275,7 +275,7 @@ async def _create_workflow(project_client, credential):
booking_confirmation_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="booking-confirmation-agent"
)
booking_confirmation_agent = booking_confirmation_client.create_agent(
booking_confirmation_agent = booking_confirmation_client.as_agent(
id="booking-confirmation-agent",
instructions=(
"You confirm bookings. Use check_hotel_availability and check_flight_availability to verify slots, then confirm_booking to finalize. Provide ONLY: confirmation numbers, booking references, and confirmation status."
@@ -289,7 +289,7 @@ async def _create_workflow(project_client, credential):
booking_payment_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="booking-payment-agent"
)
booking_payment_agent = booking_payment_client.create_agent(
booking_payment_agent = booking_payment_client.as_agent(
id="booking-payment-agent",
instructions=(
"You process payments. Use validate_payment_method to verify payment, then process_payment to complete transactions. Provide ONLY: payment confirmation status, transaction IDs, and payment amounts."
@@ -303,7 +303,7 @@ async def _create_workflow(project_client, credential):
booking_info_client = AzureAIClient(
project_client=project_client, credential=credential, agent_name="booking-info-aggregation-agent"
)
booking_info_aggregation_agent = booking_info_client.create_agent(
booking_info_aggregation_agent = booking_info_client.as_agent(
id="booking-info-aggregation-agent",
instructions=(
"You aggregate hotel and flight search results. Receive options from search agents and organize them. Provide: top 2-3 hotel options with prices and top 2-3 flight options with prices in a structured format."