Python: Update the AzureAIAgent packages, types, and APIs based on Azure SDK's new code

python/pyproject.toml

@@ -67,9 +67,11 @@ autogen = [
 aws = [
     "boto3>=1.36.4,<1.39.0",
 ]
+# This is temporary to get the PR reviewed, and will be replaced when their new version is public.
 azure = [
+    "azure-ai-projects >= 1.0.0b11",
+    "azure-ai-agents >= 1.0.0b3",
     "azure-ai-inference >= 1.0.0b6",
-    "azure-ai-projects >= 1.0.0b7",
     "azure-core-tracing-opentelemetry >= 1.0.0b11",
     "azure-search-documents >= 11.6.0b4",
     "azure-cosmos ~= 4.7"

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_as_kernel_function.py

@@ -71,10 +71,7 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         # Create the agent definition
         agent_definition = await client.agents.create_agent(

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_azure_ai_search.py

@@ -3,7 +3,8 @@
 import asyncio
 import logging
 
-from azure.ai.projects.models import AzureAISearchTool, ConnectionType
+from azure.ai.agents.models import AzureAISearchTool
+from azure.ai.projects.models import ConnectionType
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread
@@ -39,17 +40,12 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
-        conn_list = await client.connections.list()
-
         ai_search_conn_id = ""
-        for conn in conn_list:
-            if conn.connection_type == ConnectionType.AZURE_AI_SEARCH and conn.authentication_type == "ApiKey":
-                ai_search_conn_id = conn.id
+        async for connection in client.connections.list():
+            if connection.type == ConnectionType.AZURE_AI_SEARCH:
+                ai_search_conn_id = connection.id
                 break
 
         ai_search = AzureAISearchTool(index_connection_id=ai_search_conn_id, index_name=AZURE_AI_SEARCH_INDEX_NAME)

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_bing_grounding.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from azure.ai.projects.models import BingGroundingTool
+from azure.ai.agents.models import BingGroundingTool
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_bing_grounding_streaming_with_message_callback.py

@@ -3,7 +3,7 @@
 import asyncio
 from functools import reduce
 
-from azure.ai.projects.models import BingGroundingTool
+from azure.ai.agents.models import BingGroundingTool
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_code_interpreter_streaming_with_message_callback.py

@@ -3,7 +3,7 @@
 import asyncio
 from functools import reduce
 
-from azure.ai.projects.models import CodeInterpreterTool
+from azure.ai.agents.models import CodeInterpreterTool
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_code_interpreter.py

@@ -3,7 +3,7 @@
 import asyncio
 import os
 
-from azure.ai.projects.models import FilePurpose
+from azure.ai.agents.models import FilePurpose
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
@@ -28,15 +28,15 @@
 model:
   id: ${AzureAI:ChatModelId}
   connection:
-    connection_string: ${AzureAI:ConnectionString}
+    connection_string: ${AzureAI:Endpoint}
 tools:
   - type: code_interpreter
     options:
       file_ids:
         - ${AzureAI:FileId1}
 """
 
-settings = AzureAIAgentSettings()  # ChatModelId & ConnectionString come from env vars
+settings = AzureAIAgentSettings()  # ChatModelId & Endpoint come from env vars
 
 
 async def main():
@@ -54,7 +54,7 @@ async def main():
 
         try:
             # Upload the CSV file to the agent service
-            file = await client.agents.upload_file_and_poll(file_path=csv_file_path, purpose=FilePurpose.AGENTS)
+            file = await client.agents.files.upload_and_poll(file_path=csv_file_path, purpose=FilePurpose.AGENTS)
 
             # Create the AzureAI Agent from the YAML spec
             # Note: the extras can be provided in the short-format (shown below) or
@@ -100,7 +100,7 @@ async def main():
         finally:
             # Cleanup: Delete the thread and agent
             await client.agents.delete_agent(agent.id)
-            await client.agents.delete_file(file.id)
+            await client.agents.files.delete(file.id)
 
         """
         Sample output:

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_file_search.py

@@ -3,7 +3,7 @@
 import asyncio
 import os
 
-from azure.ai.projects.models import OpenAIFile, VectorStore
+from azure.ai.agents.models import VectorStore
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
@@ -28,15 +28,15 @@
 model:
   id: ${AzureAI:ChatModelId}
   connection:
-    connection_string: ${AzureAI:ConnectionString}
+    connection_string: ${AzureAI:Endpoint}
 tools:
   - type: file_search
     options:
       vector_store_ids:
         - ${AzureAI:VectorStoreId}
 """
 
-settings = AzureAIAgentSettings()  # ChatModelId & ConnectionString come from .env/env vars
+settings = AzureAIAgentSettings()  # ChatModelId & Endpoint come from .env/env vars
 
 
 async def main():
@@ -52,10 +52,8 @@ async def main():
             "employees.pdf",
         )
         # Upload the pdf file to the agent service
-        file: OpenAIFile = await client.agents.upload_file_and_poll(file_path=pdf_file_path, purpose="assistants")
-        vector_store: VectorStore = await client.agents.create_vector_store_and_poll(
-            file_ids=[file.id], name="my_vectorstore"
-        )
+        file = await client.agents.files.upload_and_poll(file_path=pdf_file_path, purpose="assistants")
+        vector_store: VectorStore = await client.agents.vector_stores.create(file_ids=[file.id], name="my_vectorstore")
 
         try:
             # Create the AzureAI Agent from the YAML spec
@@ -82,8 +80,8 @@ async def main():
         finally:
             # Cleanup: Delete the agent, vector store, and file
             await client.agents.delete_agent(agent.id)
-            await client.agents.delete_vector_store(vector_store.id)
-            await client.agents.delete_file(file.id)
+            await client.agents.vector_stores.delete(vector_store.id)
+            await client.agents.files.delete(file.id)
 
         """
         Sample output:

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_function_calling_from_file.py

@@ -35,11 +35,6 @@ def get_item_price(
         return "$9.99"
 
 
-# Function spec
-
-settings = AzureAIAgentSettings()  # The Spec's ChatModelId & ConnectionString come from .env/env vars
-
-
 async def main():
     async with (
         DefaultAzureCredential() as creds,
@@ -59,7 +54,7 @@ async def main():
                 file_path,
                 plugins=[MenuPlugin()],
                 client=client,
-                settings=settings,
+                settings=AzureAIAgentSettings(),  # The Spec's ChatModelId & Endpoint come from .env/env vars
             )
 
             # Create the agent

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_declarative_openapi.py

@@ -24,7 +24,7 @@
 model:
   id: ${AzureAI:ChatModelId}
   connection:
-    connection_string: ${AzureAI:ConnectionString}
+    connection_string: ${AzureAI:Endpoint}
   options:
     temperature: 0.4
 tools:
@@ -153,7 +153,7 @@
           schemes: {}
 """
 
-settings = AzureAIAgentSettings()  # ChatModelId & ConnectionString come from .env/env vars
+settings = AzureAIAgentSettings()  # ChatModelId & Endpoint come from .env/env vars
 
 
 async def main():

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_file_manipulation.py

@@ -3,7 +3,7 @@
 import asyncio
 import os
 
-from azure.ai.projects.models import CodeInterpreterTool, FilePurpose
+from azure.ai.agents.models import CodeInterpreterTool, FilePurpose
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread
@@ -22,10 +22,7 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         csv_file_path = os.path.join(
             os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))),
@@ -34,7 +31,7 @@ async def main() -> None:
             "sales.csv",
         )
 
-        file = await client.agents.upload_file_and_poll(file_path=csv_file_path, purpose=FilePurpose.AGENTS)
+        file = await client.agents.files.upload_and_poll(file_path=csv_file_path, purpose=FilePurpose.AGENTS)
 
         code_interpreter = CodeInterpreterTool(file_ids=[file.id])
 

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_message_callback.py

@@ -60,10 +60,7 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         AGENT_NAME = "Host"
         AGENT_INSTRUCTIONS = "Answer questions about the menu."

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_message_callback_streaming.py

@@ -61,10 +61,7 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         # Create agent definition
         agent_definition = await client.agents.create_agent(

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_prompt_templating.py

@@ -56,10 +56,7 @@ async def invoke_agent_with_template(template_str: str, template_format: str, de
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         # Create agent definition
         agent_definition = await client.agents.create_agent(

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_streaming.py

@@ -40,10 +40,7 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         AGENT_NAME = "Host"
         AGENT_INSTRUCTIONS = "Answer questions about the menu."

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_structured_outputs.py

@@ -3,7 +3,7 @@
 import asyncio
 from enum import Enum
 
-from azure.ai.projects.models import (
+from azure.ai.agents.models import (
     ResponseFormatJsonSchema,
     ResponseFormatJsonSchemaType,
 )
@@ -38,10 +38,7 @@ async def main():
     ai_agent_settings = AzureAIAgentSettings()
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         # Create the agent definition
         agent_definition = await client.agents.create_agent(

python/samples/concepts/agents/azure_ai_agent/azure_ai_agent_truncation_strategy.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from azure.ai.projects.models import TruncationObject
+from azure.ai.agents.models import TruncationObject
 from azure.identity.aio import DefaultAzureCredential
 
 from semantic_kernel.agents import (
@@ -28,10 +28,7 @@ async def main() -> None:
 
     async with (
         DefaultAzureCredential() as creds,
-        AzureAIAgent.create_client(
-            credential=creds,
-            conn_str=ai_agent_settings.project_connection_string.get_secret_value(),
-        ) as client,
+        AzureAIAgent.create_client(credential=creds, endpoint=ai_agent_settings.endpoint) as client,
     ):
         # Create the agent definition
         agent_definition = await client.agents.create_agent(

python/samples/concepts/resources/declarative_spec/spec.yaml

@@ -5,7 +5,7 @@ instructions: Use the provided functions to answer questions about the menu.
 model:
   id: ${AzureAI:ChatModelId}
   connection:
-    connection_string: ${AzureAI:ConnectionString}
+    connection_string: ${AzureAI:Endpoint}
   options:
     temperature: 0.4
 tools: