Sample updates (#43767)

* Samples update

* Resolved comments

* Resolved comments

* rename files

* resolved comment

* Remove TODO comment regarding 'input' parameter in response creation

* update

* resolved build

* fix install

* Resolve misconfigured `dpkg` (#43777)

* image has a new issue from update. some player is leaving apt-get unconfigured, so we need to add a dpkg configure before apt-get installing anything

* Remove aiofiles dependency and update installation instructions in sample agent code

---------

Co-authored-by: Scott Beddall <[email protected]>

Author: howieleung

sdk/ai/azure-ai-projects/README.md

@@ -152,7 +152,7 @@ print(f"Created conversation with initial user message (id: {conversation.id})")
 response = openai_client.responses.create(
     conversation=conversation.id,
     extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
-    input="",  # TODO: Remove 'input' once service is fixed
+    input="",
 )
 print(f"Response output: {response.output_text}")
 
@@ -165,7 +165,7 @@ print(f"Added a second user message to the conversation")
 response = openai_client.responses.create(
     conversation=conversation.id,
     extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
-    input="",  # TODO: Remove 'input' once service is fixed
+    input="",
 )
 print(f"Response output: {response.output_text}")
 

sdk/ai/azure-ai-projects/samples/agents/sample_agent_basic.py

@@ -61,7 +61,7 @@
     response = openai_client.responses.create(
         conversation=conversation.id,
         extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
-        input="",  # TODO: Remove 'input' once service is fixed
+        input="",
     )
     print(f"Response output: {response.output_text}")
 
@@ -74,7 +74,7 @@
     response = openai_client.responses.create(
         conversation=conversation.id,
         extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
-        input="",  # TODO: Remove 'input' once service is fixed
+        input="",
     )
     print(f"Response output: {response.output_text}")
 

sdk/ai/azure-ai-projects/samples/agents/sample_agent_basic_async.py

@@ -17,7 +17,7 @@
 
     Before running the sample:
 
-    pip install "azure-ai-projects>=2.0.0b1" azure-identity aiohttp load_dotenv
+    pip install "azure-ai-projects>=2.0.0b1" azure-identity aiohttp python-dotenv
 
     Set these environment variables with your own values:
     1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
@@ -65,7 +65,7 @@ async def main() -> None:
             response = await openai_client.responses.create(
                 conversation=conversation.id,
                 extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
-                input="",  # TODO: Remove 'input' once service is fixed
+                input="",
             )
             print(f"Response output: {response.output_text}")
 
@@ -78,7 +78,7 @@ async def main() -> None:
             response = await openai_client.responses.create(
                 conversation=conversation.id,
                 extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
-                input="",  # TODO: Remove 'input' once service is fixed
+                input="",
             )
             print(f"Response output: {response.output_text}")
 

sdk/ai/azure-ai-projects/samples/agents/sample_agent_crud.py

@@ -15,7 +15,7 @@
 
     Before running the sample:
 
-    pip install "azure-ai-projects>=2.0.0b1" azure-identity aiohttp load_dotenv
+    pip install "azure-ai-projects>=2.0.0b1" azure-identity aiohttp python-dotenv
 
     Set these environment variables with your own values:
     1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview

sdk/ai/azure-ai-projects/samples/agents/sample_agent_crud_async.py

@@ -18,7 +18,7 @@
 
     Before running the sample:
 
-    pip install "azure-ai-projects>=2.0.0b1" azure-identity load_dotenv
+    pip install "azure-ai-projects>=2.0.0b1" azure-identity python-dotenv
 
     Set these environment variables with your own values:
     1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
@@ -62,6 +62,6 @@
     print(f"Added a user message to the conversation")
 
     response = openai_client.responses.create(
-        conversation=conversation.id, extra_body={"agent": {"name": agent.name, "type": "agent_reference"}}
+        conversation=conversation.id, extra_body={"agent": {"name": agent.name, "type": "agent_reference"}}, input=""
     )
     print(f"Response output: {response.output_text}")