renamed all (#3207)

python/samples/getting_started/agents/azure_ai/azure_ai_with_code_interpreter_file_generation.py

@@ -8,7 +8,7 @@ from agent_framework import (
     HostedFileContent,
     TextContent,
 )
-from agent_framework._agents import AgentRunResponseUpdate
+from agent_framework._agents import AgentResponseUpdate
 from agent_framework.azure import AzureAIClient
 from azure.identity.aio import AzureCliCredential
 
@@ -45,7 +45,7 @@ async def test_non_streaming() -> None:
 
         # Check for annotations in the response
         annotations_found: list[str] = []
-        # AgentRunResponse has messages property, which contains ChatMessage objects
+        # AgentResponse has messages property, which contains ChatMessage objects
         for message in result.messages:
             for content in message.contents:
                 if isinstance(content, TextContent) and content.annotations:
@@ -78,7 +78,7 @@ async def test_streaming() -> None:
         file_ids_found: list[str] = []
 
         async for update in agent.run_stream(QUERY):
-            if isinstance(update, AgentRunResponseUpdate):
+            if isinstance(update, AgentResponseUpdate):
                 for content in update.contents:
                     if isinstance(content, TextContent):
                         if content.text:

python/samples/getting_started/agents/azure_ai/azure_ai_with_hosted_mcp.py

@@ -3,7 +3,7 @@
 import asyncio
 from typing import Any
 
-from agent_framework import AgentProtocol, AgentRunResponse, AgentThread, ChatMessage, HostedMCPTool
+from agent_framework import AgentProtocol, AgentResponse, AgentThread, ChatMessage, HostedMCPTool
 from agent_framework.azure import AzureAIClient
 from azure.identity.aio import AzureCliCredential
 
@@ -14,7 +14,7 @@ This sample demonstrates integrating hosted Model Context Protocol (MCP) tools w
 """
 
 
-async def handle_approvals_without_thread(query: str, agent: "AgentProtocol") -> AgentRunResponse:
+async def handle_approvals_without_thread(query: str, agent: "AgentProtocol") -> AgentResponse:
     """When we don't have a thread, we need to ensure we return with the input, approval request and approval."""
 
     result = await agent.run(query, store=False)
@@ -35,7 +35,7 @@ async def handle_approvals_without_thread(query: str, agent: "AgentProtocol") ->
     return result
 
 
-async def handle_approvals_with_thread(query: str, agent: "AgentProtocol", thread: "AgentThread") -> AgentRunResponse:
+async def handle_approvals_with_thread(query: str, agent: "AgentProtocol", thread: "AgentThread") -> AgentResponse:
     """Here we let the thread deal with the previous responses, and we just rerun with the approval."""
 
     result = await agent.run(query, thread=thread)

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_code_interpreter.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import AgentRunResponse, ChatResponseUpdate, HostedCodeInterpreterTool
+from agent_framework import AgentResponse, ChatResponseUpdate, HostedCodeInterpreterTool
 from agent_framework.azure import AzureAIAgentClient
 from azure.ai.agents.models import (
     RunStepDeltaCodeInterpreterDetailItemObject,
@@ -17,7 +17,7 @@ for Python code execution and mathematical problem solving.
 """
 
 
-def print_code_interpreter_inputs(response: AgentRunResponse) -> None:
+def print_code_interpreter_inputs(response: AgentResponse) -> None:
     """Helper method to access code interpreter data."""
 
     print("\nCode Interpreter Inputs during the run:")
@@ -48,7 +48,7 @@ async def main() -> None:
         )
         query = "Generate the factorial of 100 using python code, show the code and execute it."
         print(f"User: {query}")
-        response = await AgentRunResponse.from_agent_response_generator(agent.run_stream(query))
+        response = await AgentResponse.from_agent_response_generator(agent.run_stream(query))
         print(f"Agent: {response}")
         # To review the code interpreter outputs, you can access
         # them from the response raw_representations, just uncomment the next line:

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_code_interpreter_file_generation.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import AgentRunResponseUpdate, ChatAgent, HostedCodeInterpreterTool, HostedFileContent
+from agent_framework import AgentResponseUpdate, ChatAgent, HostedCodeInterpreterTool, HostedFileContent
 from agent_framework.azure import AzureAIAgentClient
 from azure.identity.aio import AzureCliCredential
 
@@ -53,7 +53,7 @@ async def main() -> None:
                 file_ids: list[str] = []
 
                 async for chunk in agent.run_stream(query):
-                    if not isinstance(chunk, AgentRunResponseUpdate):
+                    if not isinstance(chunk, AgentResponseUpdate):
                         continue
 
                     for content in chunk.contents:

python/samples/getting_started/agents/azure_ai_agent/azure_ai_with_hosted_mcp.py

@@ -3,7 +3,7 @@
 import asyncio
 from typing import Any
 
-from agent_framework import AgentProtocol, AgentRunResponse, AgentThread, HostedMCPTool
+from agent_framework import AgentProtocol, AgentResponse, AgentThread, HostedMCPTool
 from agent_framework.azure import AzureAIAgentClient
 from azure.identity.aio import AzureCliCredential
 
@@ -15,7 +15,7 @@ servers, including user approval workflows for function call security.
 """
 
 
-async def handle_approvals_with_thread(query: str, agent: "AgentProtocol", thread: "AgentThread") -> AgentRunResponse:
+async def handle_approvals_with_thread(query: str, agent: "AgentProtocol", thread: "AgentThread") -> AgentResponse:
     """Here we let the thread deal with the previous responses, and we just rerun with the approval."""
     from agent_framework import ChatMessage
 

python/samples/getting_started/agents/azure_openai/azure_assistants_with_code_interpreter.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import AgentRunResponseUpdate, ChatAgent, ChatResponseUpdate, HostedCodeInterpreterTool
+from agent_framework import AgentResponseUpdate, ChatAgent, ChatResponseUpdate, HostedCodeInterpreterTool
 from agent_framework.azure import AzureOpenAIAssistantsClient
 from azure.identity import AzureCliCredential
 from openai.types.beta.threads.runs import (
@@ -21,7 +21,7 @@ for Python code execution and mathematical problem solving.
 """
 
 
-def get_code_interpreter_chunk(chunk: AgentRunResponseUpdate) -> str | None:
+def get_code_interpreter_chunk(chunk: AgentResponseUpdate) -> str | None:
     """Helper method to access code interpreter data."""
     if (
         isinstance(chunk.raw_representation, ChatResponseUpdate)

python/samples/getting_started/agents/custom/custom_agent.py

@@ -5,8 +5,8 @@ from collections.abc import AsyncIterable
 from typing import Any
 
 from agent_framework import (
-    AgentRunResponse,
-    AgentRunResponseUpdate,
+    AgentResponse,
+    AgentResponseUpdate,
     AgentThread,
     BaseAgent,
     ChatMessage,
@@ -60,7 +60,7 @@ class EchoAgent(BaseAgent):
         *,
         thread: AgentThread | None = None,
         **kwargs: Any,
-    ) -> AgentRunResponse:
+    ) -> AgentResponse:
         """Execute the agent and return a complete response.
 
         Args:
@@ -69,7 +69,7 @@ class EchoAgent(BaseAgent):
             **kwargs: Additional keyword arguments.
 
         Returns:
-            An AgentRunResponse containing the agent's reply.
+            An AgentResponse containing the agent's reply.
         """
         # Normalize input messages to a list
         normalized_messages = self._normalize_messages(messages)
@@ -93,7 +93,7 @@ class EchoAgent(BaseAgent):
         if thread is not None:
             await self._notify_thread_of_new_messages(thread, normalized_messages, response_message)
 
-        return AgentRunResponse(messages=[response_message])
+        return AgentResponse(messages=[response_message])
 
     async def run_stream(
         self,
@@ -101,7 +101,7 @@ class EchoAgent(BaseAgent):
         *,
         thread: AgentThread | None = None,
         **kwargs: Any,
-    ) -> AsyncIterable[AgentRunResponseUpdate]:
+    ) -> AsyncIterable[AgentResponseUpdate]:
         """Execute the agent and yield streaming response updates.
 
         Args:
@@ -110,7 +110,7 @@ class EchoAgent(BaseAgent):
             **kwargs: Additional keyword arguments.
 
         Yields:
-            AgentRunResponseUpdate objects containing chunks of the response.
+            AgentResponseUpdate objects containing chunks of the response.
         """
         # Normalize input messages to a list
         normalized_messages = self._normalize_messages(messages)
@@ -131,7 +131,7 @@ class EchoAgent(BaseAgent):
             # Add space before word except for the first one
             chunk_text = f" {word}" if i > 0 else word
 
-            yield AgentRunResponseUpdate(
+            yield AgentResponseUpdate(
                 contents=[TextContent(text=chunk_text)],
                 role=Role.ASSISTANT,
             )

python/samples/getting_started/agents/openai/openai_assistants_with_code_interpreter.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import AgentRunResponseUpdate, ChatAgent, ChatResponseUpdate, HostedCodeInterpreterTool
+from agent_framework import AgentResponseUpdate, ChatAgent, ChatResponseUpdate, HostedCodeInterpreterTool
 from agent_framework.openai import OpenAIAssistantsClient
 from openai.types.beta.threads.runs import (
     CodeInterpreterToolCallDelta,
@@ -20,7 +20,7 @@ for Python code execution and mathematical problem solving.
 """
 
 
-def get_code_interpreter_chunk(chunk: AgentRunResponseUpdate) -> str | None:
+def get_code_interpreter_chunk(chunk: AgentResponseUpdate) -> str | None:
     """Helper method to access code interpreter data."""
     if (
         isinstance(chunk.raw_representation, ChatResponseUpdate)

python/samples/getting_started/agents/openai/openai_responses_client_with_structured_output.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import AgentRunResponse
+from agent_framework import AgentResponse
 from agent_framework.openai import OpenAIResponsesClient
 from pydantic import BaseModel
 
@@ -60,9 +60,9 @@ async def streaming_example() -> None:
     query = "Tell me about Tokyo, Japan"
     print(f"User: {query}")
 
-    # Get structured response from streaming agent using AgentRunResponse.from_agent_response_generator
-    # This method collects all streaming updates and combines them into a single AgentRunResponse
-    result = await AgentRunResponse.from_agent_response_generator(
+    # Get structured response from streaming agent using AgentResponse.from_agent_response_generator
+    # This method collects all streaming updates and combines them into a single AgentResponse
+    result = await AgentResponse.from_agent_response_generator(
         agent.run_stream(query, response_format=OutputStruct),
         output_format_type=OutputStruct,
     )
@@ -70,7 +70,7 @@ async def streaming_example() -> None:
     # Access the structured output directly from the response value
     if result.value:
         structured_data: OutputStruct = result.value  # type: ignore
-        print("Structured Output (from streaming with AgentRunResponse.from_agent_response_generator):")
+        print("Structured Output (from streaming with AgentResponse.from_agent_response_generator):")
         print(f"City: {structured_data.city}")
         print(f"Description: {structured_data.description}")
     else: