renamed all (#3207)

python/samples/getting_started/workflows/agents/azure_chat_agents_function_bridge.py

@@ -6,7 +6,7 @@ from typing import Final
 from agent_framework import (
     AgentExecutorRequest,
     AgentExecutorResponse,
-    AgentRunResponse,
+    AgentResponse,
     AgentRunUpdateEvent,
     ChatMessage,
     Role,
@@ -70,7 +70,7 @@ async def enrich_with_references(
     ctx: WorkflowContext[AgentExecutorRequest],
 ) -> None:
     """Inject a follow-up user instruction that adds an external note for the next agent."""
-    conversation = list(draft.full_conversation or draft.agent_run_response.messages)
+    conversation = list(draft.full_conversation or draft.agent_response.messages)
     original_prompt = next((message.text for message in conversation if message.role == Role.USER), "")
     external_note = _lookup_external_note(original_prompt) or (
         "No additional references were found. Please refine the previous assistant response for clarity."
@@ -134,7 +134,7 @@ async def main() -> None:
         elif isinstance(event, WorkflowOutputEvent):
             print("\n\n===== Final Output =====")
             response = event.data
-            if isinstance(response, AgentRunResponse):
+            if isinstance(response, AgentResponse):
                 print(response.text or "(empty response)")
             else:
                 print(response if response is not None else "No response generated.")

python/samples/getting_started/workflows/agents/azure_chat_agents_tool_calls_with_feedback.py

@@ -8,7 +8,7 @@ from typing import Annotated
 from agent_framework import (
     AgentExecutorRequest,
     AgentExecutorResponse,
-    AgentRunResponse,
+    AgentResponse,
     AgentRunUpdateEvent,
     ChatAgent,
     ChatMessage,
@@ -102,12 +102,12 @@ class Coordinator(Executor):
     async def on_writer_response(
         self,
         draft: AgentExecutorResponse,
-        ctx: WorkflowContext[Never, AgentRunResponse],
+        ctx: WorkflowContext[Never, AgentResponse],
     ) -> None:
         """Handle responses from the other two agents in the workflow."""
         if draft.executor_id == self.final_editor_id:
             # Final editor response; yield output directly.
-            await ctx.yield_output(draft.agent_run_response)
+            await ctx.yield_output(draft.agent_response)
             return
 
         # Writer agent response; request human feedback.
@@ -117,8 +117,8 @@ class Coordinator(Executor):
         if draft.full_conversation is not None:
             conversation = list(draft.full_conversation)
         else:
-            conversation = list(draft.agent_run_response.messages)
-        draft_text = draft.agent_run_response.text.strip()
+            conversation = list(draft.agent_response.messages)
+        draft_text = draft.agent_response.text.strip()
         if not draft_text:
             draft_text = "No draft text was produced."
 

python/samples/getting_started/workflows/agents/handoff_workflow_as_agent.py

@@ -4,7 +4,7 @@ import asyncio
 from typing import Annotated
 
 from agent_framework import (
-    AgentRunResponse,
+    AgentResponse,
     ChatAgent,
     ChatMessage,
     FunctionCallContent,
@@ -101,7 +101,7 @@ def create_agents(chat_client: AzureOpenAIChatClient) -> tuple[ChatAgent, ChatAg
     return triage_agent, refund_agent, order_agent, return_agent
 
 
-def handle_response_and_requests(response: AgentRunResponse) -> dict[str, HandoffAgentUserRequest]:
+def handle_response_and_requests(response: AgentResponse) -> dict[str, HandoffAgentUserRequest]:
     """Process agent response messages and extract any user requests.
 
     This function inspects the agent response and:
@@ -109,7 +109,7 @@ def handle_response_and_requests(response: AgentRunResponse) -> dict[str, Handof
     - Collects HandoffAgentUserRequest instances for response handling
 
     Args:
-        response: The AgentRunResponse from the agent run call.
+        response: The AgentResponse from the agent run call.
 
     Returns:
         A dictionary mapping request IDs to HandoffAgentUserRequest instances.

python/samples/getting_started/workflows/agents/mixed_agents_and_executors.py

@@ -66,8 +66,8 @@ class Evaluator(Executor):
             ctx: Workflow context for yielding the final output string
         """
         target_text = "1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89"
-        correctness = target_text in message.agent_run_response.text
-        consumption = message.agent_run_response.usage_details
+        correctness = target_text in message.agent_response.text
+        consumption = message.agent_response.usage_details
         await ctx.yield_output(f"Correctness: {correctness}, Consumption: {consumption}")
 
 

python/samples/getting_started/workflows/agents/workflow_as_agent_reflection_pattern.py

@@ -5,7 +5,7 @@ from dataclasses import dataclass
 from uuid import uuid4
 
 from agent_framework import (
-    AgentRunResponseUpdate,
+    AgentResponseUpdate,
     AgentRunUpdateEvent,
     ChatClientProtocol,
     ChatMessage,
@@ -161,7 +161,7 @@ class Worker(Executor):
 
             # Emit approved result to external consumer via AgentRunUpdateEvent.
             await ctx.add_event(
-                AgentRunUpdateEvent(self.id, data=AgentRunResponseUpdate(contents=contents, role=Role.ASSISTANT))
+                AgentRunUpdateEvent(self.id, data=AgentResponseUpdate(contents=contents, role=Role.ASSISTANT))
             )
             return